Next Article in Journal
Hydrodynamic Performance Analysis of the Vertical Axis Twin-Rotor Tidal Current Turbine
Next Article in Special Issue
Zeolite as a Potential Medium for Ammonium Recovery and Second Cheese Whey Treatment
Previous Article in Journal
An Automatic Irrigation Control System for Soilless Culture of Lettuce
Previous Article in Special Issue
Treatment Efficiency of Diffuse Agricultural Pollution in a Constructed Wetland Impacted by Groundwater Seepage
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Agroindustrial Wastewater Treatment with Simultaneous Biodiesel Production in Attached Growth Systems Using a Mixed Microbial Culture

1
Department of Environmental and Natural Resources Management, University of Patras, G. Seferi 2, 30100 Agrinio, Greece
2
Department of Civil Engineering, Democritus University of Thrace, Vasilissis Sofias 12, 67100 Xanthi, Greece
3
Department of Biology, University of Patras, 26500 Patras, Greece
4
School of Biology, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
5
Department of Chemical Engineering, University of Patras, 26500 Patras, Greece
6
Institute of Chemical Engineering and High Temperature Chemical Processes (FORTH/ICE-HT), Stadiou Str., Platani, 26504 Patras, Greece
*
Author to whom correspondence should be addressed.
Water 2018, 10(11), 1693; https://doi.org/10.3390/w10111693
Submission received: 19 October 2018 / Revised: 14 November 2018 / Accepted: 15 November 2018 / Published: 20 November 2018

Abstract

:
The use of cyanobacteria in biological wastewater treatment technologies can greatly reduce operation costs by combining wastewater bioremediation and production of lipid suitable as biodiesel feedstock. In this work, an attached growth system was employed to achieve the above-mentioned dual objective using a mixed microbial culture dominated by Leptolyngbya and Limnothrix species in diverse heterotrophic consortia. Kinetic experiments on different initial pollutant concentrations were carried out to determine the ability of the established culture to remove organic load (expressed by d-COD, dissolved-Chemical Oxygen Demand), N and P from agroindustrial wastewaters (dairy, winery and raisin). Biomass and oil productivity were determined. It was found that significant removal rates of nutrients were achieved in all the wastewaters examined, especially in that originated from winery in which the highest d-COD removal rate (up to 97.4%) was observed. The attached microbial biomass produced in winery wastewater contained 23.2% lipid/biomass, wt/wt, which was satisfying. The growth in the dairy wastewater yielded the highest attached biomass productivity (5.03 g m−2 day−1) followed by the mixed effluent of winery-raisin (4.12 g m−2 day−1) and the winery wastewater (3.08 g m−2 day−1). The produced microbial lipids contained high percentages of saturated and mono-unsaturated fatty acids (over 89% in total lipids) in all substrates examined. We conclude that the proposed attached growth photobioreactor system can be considered an effective wastewater treatment system that simultaneously produces microbial lipids suitable as biodiesel feedstock.

1. Introduction

One current challenge for ecological engineering is to develop economically feasible technologies to treat wastes (liquid or solid) as a biomass source and, ideally, transform them into useful byproducts. Various physicochemical treatment methods demand large amounts of energy, chemicals, and manpower. On the contrary, the biological treatment of wastewaters is considered to be a more environmental friendly and cost-effective approach. Few studies have showed that biological treatment using algal/cyanobacterial-bacterial consortia can efficiently remove pollutants from wastewaters [1]. In addition, the use of microalgae and cyanobacteria can aid environmental mitigation as they produce lipids suitable for second and third generation biofuels [2,3]. Therefore, applications such as wastewater treatment and biofuel production can be combined [4]. In these combined systems effluents are considered as a source of nutrients rather than as waste material, while the biomass produced may be converted into energy.
A review of the literature shows that until a few years ago research on wastewater treatment using algae focused mainly on municipal and dairy wastewater treatment using suspended microalgae under aseptic conditions [5,6]. However, media sterilization in a large scale for production of low-value commodities, such as biofuel, is not a practical and economical solution [7]. On the other hand, the coexistence of microorganisms in wastewater treatment systems has been widely investigated in an attempt to simulate natural processes. Specifically, the use of algal-bacterial cultures in sustainable and cost-efficient biosystems of municipal and agroindustrial wastewater treatment has increased over the past few years [8,9,10]. The selection of microorganisms is a significant issue to handle, especially considering that algal-bacterial consortia should be able to grow in harsh environmental conditions. Usually, microalgae and bacteria form aggregates and settle quickly due to gravity and their large size [11,12,13]. This biomass bioflocculation contributes to a less costly and simpler biomass harvesting method, avoiding additional steps such as centrifugation, filtration or coagulation.
Although most previous research focused on suspended algae growing mainly in ponds [14,15], in recent years research has concentrated on the use of attached systems, either as axenic cultures or as attached consortia [16,17] (Table 1). Immobilizing microalgae in receptive matrixes alleviates harvesting problems and high operation costs providing efficient removal of nitrogen and phosphorus from several wastewaters [14,18]. Attached growth processes have been examined for both nutrient uptake from wastewater [19,20,21] and lipid production [22]. Compared to standard suspended photobioreactors, attached cultivation systems lead to higher biomass production (naturally concentrated biomass), are more feasible at a large scale, have better light distribution within the reactor, have lower water consumption and improved operation control [23]. The feasibility of nonsuspended algae cultivation, is dependent on inexpensive and environmentally friendly substrate and support material [24]. According to the literature various support materials have been tested for non-suspended cultivation (including carrageenan, chitosan, alginate, nylon, cotton, glass slides, stainless steel) (Table 1) [8,14,17,18,25,26]. However, the majority of the above, and in particular the polymeric matrices (like Teflon, silicon, Plexiglas or acrylic), are costly and nonresistant during long-term operation periods thus making their application in large-scale systems debatable. The proposed attached growth system, using a transparent glass bioreactor, remains viable for longer periods of time allowing light penetration across the whole photobioreactor (PBR). In fact, the salts coating the surface of the glass rods enable better adherence conditions for biofilm formation and the glass rods are hard-wearing and do not need to be replaced. Biofilm protects cells from biocides, predators and harsh conditions (extreme pH or temperature values), helping them to remain viable for longer periods of time. Biofilms contain different types of microorganisms, e.g., bacteria, fungi and microalgae [27]. Microalgal biofilm formation is a complex process [28] while the adhesion mechanism is not yet clearly understood [29,30]. It is believed that hydrophobic reactions are driving forces for biofilm formation on hard substrates [31]. During biofilm formation, cells produce extracellular polymeric substances that build the matrix and hold the biofilm together. These substances comprise various chemical groups that function as binding sites (e.g., phosphate groups or carboxyl groups) [32].
Numerous studies have dealt with the treatment of wastewaters (mainly municipal and domestic wastewaters) using algal biofilms, also namely attached growth systems, however, only a few have focused on biofuel production [33]. The current treatment system used raw agroindustrial wastewaters with coproduction of biodiesel leading to reduced cost. As seen in Table 1, the majority of studies aimed at nutrient removal only (without examining the possibility of biodiesel production) and the initial d-COD concentrations used were much lower than those examined in the present study. It should also be noted that most of these works used common microalgae (e.g., Chlorella sp., Scenedesmus obliquus, Nitzschia palea) under aseptic conditions.
To the best of our knowledge research has not been carried out on growing cyanobacteria-based flocs on support materials for treating raw agroindustrial wastewaters coupled with production of biodiesel. The purpose of this work was to develop an attached growth system and a robust mixotrophic microbial consortium able to grow on agroindustrial wastewaters and efficiently remove organic matter and nutrients. Next-generation sequencing (NGS; Illumina MiSEq Sequencing) was used to reveal the bacterial taxa comprising of the substrate’s consortia. Biomass productivity and maximum oil content were also calculated to investigate the ability of this system to produce biodiesel.

2. Materials and Methods

2.1. Wastewater Samples

The dairy wastewater (DWW) used in this study (aerobically pretreated secondary cheese whey and washing waters; pH: 4.5–6, d-COD: 43000 ± 2000 mg L−1, Total Kjeldahl Nitrogen, TKN: 1.1 g L−1) was taken from a local cheese factory (Papathanassiou cheese factory, Agrinio, western Greece) [47]. Winery and raisin wastewaters were taken from a local winery (Grivas winery, Agrinio, western Greece) and a raisin processing factory of the Agricultural Cooperatives Union-Aeghion, respectively. The winery wastewater (WWW, (pH: 3.5–5, d-COD: 80,000–90,000 mg L−1, Total Kjeldahl Nitrogen, TKN: 0.7–2.72 g L−1) was received after washing of the fermentation tanks, barrels and bottles, while the raisin wastewater (RWW, pH: 6–7, d-COD: 1600–9000 mg L−1, Total Kjeldahl Nitrogen, TKN: 0.03–0.05 g L−1) was obtained after washing the storage tanks and the raisins prior packaging. All wastewaters were filtered and stored at −20 °C until use.

2.2. Biological Material and Culture Conditions

Initially a microbial mat taken from the sewage wastewater treatment plant of Agrinio city (from secondary treatment unit) was cultivated (wastewater used as media) under steady conditions (T = 28 ± 2 °C, continuous illumination (24/24): fluorescent lamps 200 μmol m−2 s−1, 25–29 W m−2) and stirred using centrifugal mini-pumps of flow rate 380 L h−1 capacity. A mixed population was developed which was autotrophically cultivated (stock culture) under the same conditions in aquariums (rectangular glass tanks with a total volume of 10 L) containing (in g L−1): MgSO4·7H2O, 0.1; CaCl2·2H2O, 0.05; K2HPO4, 0.108; KH2PO4, 0.056, and KNO3, 0.2; at pH 7.2 ± 0.3.
Experiments using dairy wastewater (DWW), winery wastewater (WWW) and a mixture of raisin wastewater (RWW) and WWW (mixed wastewater, MWW) as substrates were performed. DWW, WWW and MWW substrates were diluted with tap water at different rates leading to various initial pollutant concentrations (experimental sets A, B and C) (Table 2). For all the MWW sets conducted constant ratio of RWW: WWW by 85%:15%, respectively. All experiments were conducted in duplicate. 700 mL of stock culture was inoculated in each batch experiment containing 56 ± 11.9 mgL−1 dry biomass. Initially, the pH was regulated between 7 and 7.5. However, during the bioprocesses pH increased from 7 to 9. It should be mentioned that this range of pH is suitable for heterotrophic and autotrophic metabolism.

2.3. Microscopy Analysis of Microbial Communities

Samples were collected from the 5–6 days old autotrophic attached growth. Fresh and Lugol preserved subsamples were examined under an inverted epifluorescence microscope (Nikon Eclipse TE 2000-S, Nikon, Tokyo, Japan) with a microscope camera (Nikon DS-L1). The cyanobacterial taxa composition was determined using taxonomical keys and papers.

2.4. DNA Extraction and Amplicon Sequencing

Samples were collected from both the autotrophic attached culture and the untreated samples of dairy and winery wastewater. Subsamples of ca. 50 mL were filtered using 0.2 μm nucleopore filters and stored at −20 °C until further molecular analysis. The DNA collected from each filter was isolated using the MoBio PowerWater Isolation Kit according to the manufacturer’s instructions and the V3-V4 region of the 16S rRNA gene (approximately 465 base pairs) was amplified according to the SD-Bact-0341-bS-17: 5’-CCTACGGGNGGCWGCAG-3’ and S-D-Bact-0785-a-A-21: 5’-GACTACHVGGGTATCTAATCC-3’ primers [48]. PCR reactions and the barcode amplicon sequencing process were performed by the Mr. DNA Company [49]. Briefly, the PCR products were purified using calibrated Ampure XP beads and the purified products were used to prepare the DNA libraries following the Illumina MiSeq DNA high-throughput library preparation protocol. DNA library preparation and sequencing was performed at Mr. DNA [49] on a MiSeq following the manufacturer’s guidelines. The produced reads were processed using MOTHUR v 1.34.0 software and following the standard operating procedure [50,51]. Forward and reverse reads were joined and the barcodes were removed. Reads < 200 bp, with homopolymers > 8 bp and with ambiguous base calls were removed from downstream analysis. The remaining reads were dereplicated to the unique sequences and aligned independently against the SILVA 128 database [52]. The reads suspected for being chimeras were then removed using UCHIME software [53]. The remaining reads (between 13,706 and 22,575 in the three samples examined) were clustered into Operational Taxonomic Units (OTUs) at 97% sequence similarity threshold. Singletons were removed as they were likely erroneous sequencing products [54]. One-hundred-and-fifteen OTUs were produced in total, and were taxonomically classified using BLASTN [55] on the SILVA 128 database [52]. Sequences were submitted to GenBank-SRA under the accession number SRR6491174.

2.5. Experimental Setup

In this research, the photobioreactors (PBRs) used were glass aquariums equipped with 36 cylindrical glass rods (of 0.5 cm in diameter each rod). The dimensions of the aquariums were 29 × 10 × 15 cm (length × width × height). A schematic presentation of the reactor is available in Economou et al. [43]. The surface area of each rod was 19.04 cm2, providing a sufficient surface area for microbial growth and attachment. In addition, the transparent glass rods allowed light penetration across the whole PBR. Also, the use of a supporting metallic grid placed on the surface of the aquarium kept in vertical position all glass rods. This configuration allowed the easy removal of each single rod from the PBRs and therefore biomass harvesting. The flow rate of substrate medium was adjusted in 50 L h−1 (Dilution rate D = 14.2 h−1) to allow cell attachment to the rods and PBR walls. The illumination was continuous, suitable for microalgal growth [41,56] and was provided at a distance of about 25 cm from the PBR’s surface.

2.6. Analytical Procedures

Samples (grab samples) of constant volume of aquarium wastewater were collected on a daily basis and analyzed for various parameters. Attached and suspended microbial biomass was harvested from each batch experimental run. For suspended biomass determination 100 mL of culture (for each sampling) was centrifuged at 4100 rpm for 20 min. Additionally, the microbial mass attached to the supporting rods was harvested by scraping two randomly selected glass rods for each sampling. At the end of each experimental set the biomass attached to the PBRs’ walls was also harvested. Following centrifugation, aliquots of the supernatants were separated and collected for chemical analysis. After harvesting, suspended and attached biomass was dried at 105 oC and then gravimetrically determined. The supernatant after centrifugation was collected for dissolved oxygen demand (d-COD), orthophosphate (PO43−), NO3-N, NO2-N, and Total Kjeldahl Nitrogen (TKN), measurements, according to APHA [57]. DuBois et al. [58] was used for total sugars measurements. Biomass productivities P (mg DW L−1 day−1) were calculated from the variation in biomass concentration through time according to Gonçalves et al. [10]. Nutrient removal efficiencies and the maximum specific growth rate (μ) of the mixed culture were determined according to Tsolcha et al. [1]. Concentration of the total biomass was the sum of suspended and attached biomass in each experiment set and was correlated with TSS [59].

2.7. Lipid Extraction/Fatty Acid Analysis

The extraction of lipids from dry biomass cells was performed according to Folch’s method using a mixture of chloroform: methanol (2:1, v/v) as solvent [60]. The extract was then washed with 0.88% (w/v) KCl solution to remove non-lipid components and dried over anhydrous Na2SO4. Finally, the solvent was removed by evaporation and the produced oil was gravimetrically determined as a percentage of the dry cell weight (% DCW) [61]. The fatty acid profile of the produced oil was determined as fatty acid methyl esters (FAME), following AFNOR method [62]. Both total lipid extraction method and the fatty acid analysis procedure that were used in this study is described analytically at Tsolcha et al. [1].

2.8. Statistical Analysis

Results were reported as means ± standard deviation (SD). The statistically significant differences of biomass production, lipid content and physicochemical parameters were analyzed using one-way analysis of variance (ANOVA) at significance of (p < 0.05).

3. Results and Discussion

3.1. Consortia Analyses

Microscopic analysis (Figure 1) showed aggregates of cyanobacterial trichomes associated with attached colonies of heterotrophic bacteria and large planktonic bacterial cells. The trichomes exhibited the morphological features of the genera Leptolyngbya and Limnothrix (Figure 1b). Cells of Limnothrix were characterized by small polar gas vacuoles [63], while the trichomes of Leptolyngbya and Limnothrix without gas vacuoles were dominant. The intrageneric taxonomic classification of the genus Leptolyngbya is difficult because of its simple morphology and minute dimensions, while molecular analysis has resulted in the identification of new genera (e.g. Nodosilinea) of the very large heterogenous genus Leptolyngbya [64]. The molecular analysis showed that of the most abundant OTUs, one was closely related to Leptolyngbya sp. (OTU005) and another to Limnothrix planctonia (OTU008) (Table 3).
Amplicon sequencing revealed 115 prokaryotic OTUs in the three samples examined (Stock culture, DWW, WWW). The rarefaction curves calculated approached a plateau in all cases, indicating a sufficient coverage of the existing prokaryotic diversity in all samples (data not shown). Overall, the majority of the detected OTUs belonged to the high-level taxonomic groups of firmicutes (39% of the total OTUs), followed by proteobacteria (38%), bacteroidetes (10%) and cyanobacteria (5%). On the other hand, the most dominant taxonomic groups in terms of relative abundance were bacteroidetes, comprising of 32% of the total number of reads, followed by firmicutes (30%), proteobacteria (18%) and cyanobacteria (14%). Of the 12 most abundant OTUs, each comprising >1% of the total number of reads in all samples (Table 3), two were attributed to cyanobacteria and represented the bulk of cyanobacterial abundance. OTU005 had a Leptolyngbya sp.-related clone as its closest relative, but on the top 10 hits of BLAST searches, it was also found to be closely affiliated to the new genus Nodosilinea-related clones of the very large heterogenous genus Leptolyngbya [64]. OTU005 was the fourth most dominant OTU overall and was especially abundant in the stock culture, accompanied by a Limnothrix-related OTU (OTU008). These two OTUs were the most dominant OTUs in terms of relative abundance in the stock culture (along with a proteobacteria-related OTU) (Table 3). It is noteworthy that the most abundant OTU (OTU001) in the entire dataset, comprising nearly 78% of the number of reads in the DWW, was attributed to a Bacteroidetes taxon (Table 3). The second dominant OTU in the DWW, OTU003, was closely affiliated to the Firmicutes Lactobacillus delbrueckii, a well-known lactic acid bacterium which can be used for solid-state fermentation [65]. The dominant OTU in the WWW, OTU002, was closely affiliated to the Firmicutes Pediococcus parvulus, a taxon of wine origin [66] important for metabolic-engineering strategies aiming to improve exopolysaccharide production in the food industry [67]. Of the dominant OTUs detected in the WWW, OTU021 was closely affiliated to the Firmicutes Oenococcus oeni, a taxon that holds major importance in oenology where it is the primary bacterium involved in completing malolactic fermentation [68].

3.2. Microbial Growth

A series of batch kinetic experiments was carried out using unsterilized wastewaters obtained from local production plants at different seasons and times of day. These experiments determined the ability of the cyanobacterial-based culture to remove nutrients and simultaneously produce biomass and lipids. Following addition of the inoculum into the bioreactor, a mixed consortium established forming biofilm on the glass rods and PBR walls, indicating that the added species (cyanobacterial-bacterial) may have a synergistic relationship. The cyanobacterial-bacterial flocs that developed during wastewater treatment are shown in Figure 1. The formed cooperative system that is probably supported by binding mechanisms led to the formation of settleable biomass as also recorded by Gutzeit et al. [11]. Many studies confirm the existence of positive interactions between microalgae/cyanobacteria and bacteria that enhance wastewater treatment and biomass production [9,40,44].
The maximum attached biomass productivity recorded for the experimental sets DWW-C and MWW-A, reaching the values of 5.03 and 4.12 g m−2 day−1, respectively. Specific growth rate values ranged from 0.217 to 0.925 day−1 (Table 4), which are values higher than those previously recorded for attached Leptolyngbya-based cultures (0.369 day−1 by Singh and Thakur [38] using municipal wastewater as substrate), as well as suspended growth Leptolyngbya-based cultures (0.24–029 day−1 using winery substrate or 0.16–022 day−1 using mixed winery-raisin substrate by Tsolcha et al. [1]. It should be mentioned that autotrophic experiments performed with chemical media containing minerals with the same initial N:P ratio used in the DWW and MWW experiments, presented lower biomass productivities of between 1 and 2.2 g m−2 day−1 (data not shown). These values are in line with the maximum areal biomass productivity recorded in the mesh incubator autotrophic experiments of Leptolyngbya sp. (2.01 g m−2 day−1) by Singh et al. [36]. The Limnothrix sp. examined by Economou et al. [43] showed a total biomass productivity of about 1.11 g m−2 day−1 in an attached growth system similar to that used in this work. The production of biomass achieved in attached growth systems is closely related to the selected species as well as the prevailing microbial interaction (mutually beneficial or harmful effects) and specific applied conditions, including nutrient concentration, light intensity, pH, flow of medium, and substrate properties [17,69]. Mixed culture biofilms usually present the highest biomass productivity rates that can reach up to 30 g m−2 day−1 (Table 1). The mixed culture used in this study showed higher biomass productivity rates compared to those of related axenic cyanobacterial cultures. It is probable that the added heterotrophic bacteria (contained in wastewaters) enhanced biomass productivity as also observed by Bai et al. [70].
Cyanobacteria are known for their tolerance to harsh environmental conditions. However, a significant advantage of several filamentous cyanobacteria compared to nanosized microalgae is their easy harvest from the culture medium due to their shape and larger size [71]. Thus, expensive harvesting techniques such as centrifugation, flocculation or filtration are avoided [72,73]. The microbial culture used in this work which consisted of filamentous cyanobacteria forming aggregates, showed a natural tendency to settle and to attach itself to the immobilized materials (rods and PBR walls), thus facilitating harvesting (Figures S1 and S2). Bacterial colonies were seen to attach onto the surfaces of the filamentous cyanobacteria (Figure 1b), as also observed by Zamalloa et al. [45].
Regarding algal/cyanobacterial attachment substrates, research has shown higher growth rates on cellulose-based natural polymer surfaces than synthetic polymer surfaces [18]. For commercial use a suitable support material should be inexpensive, weightless, thin, long-lived, water resistant, easy to inoculate, and able to maintain enough algal/cyanobacterial cells/colonies/filaments for a new round of re-growth after harvesting [34]. Among existing support media, glass reactors provide widespread light distribution. It should also be mentioned that the presence of bacteria enhances the adhesion of microalgae to glass surfaces. In this study, significantly higher attachment to glass surfaces was observed at pH 9 compared to pH 7 or 6 (optical observation), as also noted by Tosteson and Corpe [74] and Sekar et al. [25]. Additionally, the use of glass as an immobilized material allowed faster biomass growth when diluted substrates were used (DWW-C and WWW-C in Figure 2, Figure S3). The system tested ensured adequate light penetration and easy biomass harvest, as well as high surface area provided by both the glass rods and the walls of the PBR.

3.3. Removal of Nutrients and Organic Load from Wastewaters

Liquid effluents from agroindustry contain high organic content with high levels of proteins, nitrogen, phosphorous, dissolved sugars and minerals. The specific mixed microbial culture of this study was able to remove both organic and inorganic pollutants from these agricultural wastewaters by mixed autotrophic, mixotrophic and heterotrophic metabolism. According to the literature, mixotrophic cultivation has several advantages over single photoautotrophic or heterotrophic modes as it provides higher biomass and lipid productivities, as also observed in the experiments of this study. Indeed, the nutrient uptake by the microbial consortium growing in the tested substrates was higher than that observed by the single cultures (cyanobacteria/algae) used as control, thus proving the synergistic effect of microalgal-bacterial consortia [11].
It should be mentioned that the use of undiluted agroindustrial wastewater (dairy, winery, and raisin as raw sources), showed initial d-COD concentrations inhibitory for autotrophic growth. Dilution was also considered necessary to allow light penetration across the bioreactor. Regarding the mixed experiments, raisin and winery wastewaters were combined because it was necessary to dilute the winery wastewater with a wastewater (such as raisin) that contained lower organic load, nutrient and ion concentrations as well as lower turbidity and color intensity [1]. The purpose of mixing was to avoid (as much as possible) the use of fresh water for dilution.
Ιn all sets of conducted experiments initial organic load values were between 1930 to 5090 mg d-COD L−1. In most experiments, high d-COD removal rates were performed with values between 65.5 and 97.4%. Specifically, the WWW experimental series presented d-COD removal rates higher than 95% (Table 4). In most experimental sets d-COD removal was achieved within 6–7 days, with the exception of sets with high initial d-COD concentrations (over 3500 mg L−1) (Figure 3). The existence of residual dissolve organic matter is mainly attributed to the presence of slowly biodegradable organic matter and carbon in some colloidal form [75]. Significant differences in d-COD removal rates (p = 0.94143) were not observed between the experimental groups DWW, WWW and MWW. In addition, significant differences were not observed (p = 0.1136) in sets DWW-B, WWW-A and MWW-C. In these experimental sets were observed the highest d-COD removal rates (p = 0.1136). It is worth mentioning that Godos et al. [46] (Table 1) using mixed cultures for agroindustrial wastewater treatment achieved d-COD removal efficiencies of up to 76% (initial concentration < 2420 mg d-COD L−1) which are lower than the rates of the present study that reached 95.8% with similar initial d-COD concentrations (WWW-C). In fact, the d-COD removal observed in this work is among the highest recorded in the literature for similar mixed cultures in attached systems despite the high initial d-COD concentrations applied (Table 1). The d-COD removal rates achieved in this study for the WWW experimental sets (over 95% for initial concentrations between 2385–4675 mg L−1) are higher than those referred by Tsolcha et al. [1] for Leptolyngbya-based cultures in suspended growth reactors using winery substrate (up to 85.8% for initial concentrations between 1732–2043 mg L−1). Removal of total sugars reached values of up to 49% for experimental sets with low initial sugars concentrations (below 190 mg L−1) and higher values (up to 94%) were recorded in sets with high initial sugars concentrations (DWW sets). The increase of total sugars observed after day 7 of cultivation (Figure 4) was probably attributed to secretion of soluble materials (e.g., polysaccharides and/or organic compounds from the algal/bacterial cells) [76].
Percentage removal efficiency of nitrate ranged from 38 to 90.5% (Figure 5) while nitrite concentration constantly was below the value of 0.2 mg L−1 in all experimental sets. Total nitrogen (TN) removal efficiencies (73.4–97.1%) were higher than those achieved for nitrate as nitrate assimilation is an energy-linked process and TN uptake is carried out by the entire microbial consortium. In fact, the maximum TN removal reached 97.1% for the experimental set MWW-C, which is higher than that previously reported in similar mixed attached systems (Table 1). Significant differences in nitrate removal were also noticed between the three experimental groups DWW-A-B-C (p = 0.00228), WWW-A-B-C (p = 0.00751) and MWW-A-B-C (p = 0.00161) but also between DWW-WWW-MWW (p = 0.01418). This may be attributed to the photo-dependent nitrate uptake process as a different substrate colour was observed following after each dilution. The initial concentrations of nitrogen and phosphorus used in this research were relatively higher than previous studies on attached growth systems [46], thus indicating that the treatment system presented here is effective. The remaining organic nitrogen may comprise organic matter produced during algal growth and the wastewater treatment process. Orthophosphate (PO43−, OP) presented the highest removal rates in the experimental sets with high initial OP concentrations (Figure 6). Relatively high OP removal rates of between 68.4% and 83% were observed in all DWW experimental sets (Table 4). However, the highest OP removal rate (87.4%) was recorded in the MWW-A. Significant differences in OP removal rates were not observed between the sets DWW-A-B-C (p = 0.96866), WWW-A-B-C (p = 0.19725) and MWW-A-B-C (p = 0.71982). However, significant differences were recorded between all the experimental groups DWW-MWW-WWW (p < 0.002). The different initial OP concentrations of each wastewater (between 8.48–26 mg L−1 for DWW, 2.8–5.8 for WWW, and 5.1–15.5 for MWW) are likely contributed to the previously reported differences.
Various environmental factors (e.g., temperature, light intensity, initial nutrient concentration, extracellular pH, inoculation density, as well as population interactions) have significant impact on nutrient uptake rate for various microorganisms [39,56,67]. The initial C:N:P ratio as well as the microbial members comprising the consortium are of profound significance and influence the overall yields of the culture systems. Thus, each substrate (dairy, winery or mixed effluent) requires different initial biological and chemical parameters in order to achieve a self-sustaining system with the dual purpose of pollutant removal and by-products production. The highest TN (87%), orthophosphate (87.4%) and d-COD (91.1%) removal rates were observed in MWW-A, which had the lowest N/P ratio (1.9) for the MWW substrate (Table 2 and Table 4). In addition, with the same low N/P ratio (close to 1.8), all three substrates showed their highest attached biomass productivity (5.03, 3.08, 4.12 g m−2 day−1 for DWW-C, WWW-C and MWW-A, respectively). It is worth mentioning that in a similar study, Godos et al. [46] used mixed microbial populations and agroindustrial wastewaters recorded lower removal values of d-COD (76%), TN (69%) and phosphorus (<10%).
In the present study, the remaining d-COD or nutrient concentrations were above the permissible limits of European legislation for discharge into an urban wastewater treatment plant (d-COD 500 mg L−1) or directly into natural water bodies (d-COD 125 mg L−1) [77]. Therefore, a post-treatment step will be required (such as open pond and constructed wetlands).
Precise cost data of the proposed treatment system cannot be estimated safely because pilot-scale experiments and process parameter optimization are necessary prior to scaling-up. However, expenditure includes: fixed costs (including the aquariums, glass rods, lamps, and pumps for wastewater recirculation), the operating cost (mainly the energy consumed by the light source and recirculation pumps), and the management cost (significantly high) and includes the transfer of the specific wastewaters to the treatment plant.

3.4. Lipid Production/Fatty Acid Profile

It is well known that environmental factors such as light, temperature or nutrients/minerals can change microbial lipid metabolism as a result of adaptation. The total and attached lipid contents recorded for all experimental sets were in the range of 9–23% d.w. (Table 4). The highest total lipid content (ranging from 19–21% d.w.) was recorded when using WWW as growth substrate; the substrate that also presented the lowest attached biomass productivities. This inconsistency was also noted in comparable studies treating agroindustrial wastewaters in suspended growth systems [1,78]. High total lipid content values were also recorded in MWW-C (18.6% d.w.) and MWW-A (16.2% d.w.). However, values of attached lipid content were highest in set WWW-A where they reached a maximum of 23.2% d.w. Singh and Thakur [38] were also found similar lipid contents (24.8% d.w.) for Leptolyngbya sp. A Leptolyngbya-based microbial consortium in a suspended growth system and using winery wastewater as substrate presented lower values of lipid content ranging between 7 and 11% d.w. [1]. Economou et al. [43] investigated a Limnothrix-based system using synthetic wastewater and the same experimental design as in the present study, and recorded a total lipid content of 21% d.w. and 24.14% d.w. in the attached dry biomass [43]. It appears that lipid production is strain and experiment-dependent. According to literature ratio of C/N/P not only affect the growth rates and nutrient uptake but also the lipid production [79]. For instance, in the present study, the two highest lipid content values occurred with N/P ratios of about 4 (21%, N/P = 4.33 for WWW-A and 18.6%, N/P = 4.83 for MWW-C). Significant differences in attached lipid content were observed between sets WWW-A-B-C (p = 0.0355) and between all experimental groups DWW-WWW-MWW (p = 0.00165). The different initial nutrient concentrations of experimental sets are likely contributed to the previously reported differences.
The reliability of microbial extracted oil for biodiesel applications depends not only on the quantity of oil produced but also on its fatty acid (FA) composition. Usually, unsaturated FAs content decreases biodiesel stability and increases NOx emission. Hence, the proposed profile should include high amounts of saturated and monounsaturated FAs with low levels of polyunsaturated FAs. Lipid analysis was performed at the end of exponential and early stationary growth phases and the generated FA profile is shown in Figure 7. The results revealed that the cultivation conditions influence both the growth pattern and the quality of the biodiesel products. In all substrates tested the major FAs detected were: C18:1 (7–39%), C16:0 (20–23%), C16:1 (4–18%), C18:2 (7–29%) and C18:0 (2–8%), which are the most frequently detected FAs in biodiesel [80]. Specifically, C18:1, which is regarded as appropriate for biodiesel, presented the highest content in WWW (with the oiliest biomass), exhibiting the same behavior as in suspended growth systems [1]. Additionally, C18:3 content was below the value of 12% in all experiments thus indicating the profile’s suitability for vehicle use according to European Biodiesel Standards EN14214 [81]. According to the literature, the perfect candidate for biodiesel also contains a small carbon chain length from C16–18, as well as saturated FAs with mono or di-unsaturation [82,83]. Therefore, the summary value of C14:0, C16:0, C16:1, C18:0, C18:1 and C18:2 was estimated in all tested substrates. The highest amounts of these FAs were recorded in the WWW substrate (85.3%), followed by MWW and DWW with 78.7% and 77.7%, respectively. Experiments with stock culture media presented FAs of 77%. It should be mentioned that in previous research with suspended Leptolyngbya-based systems the highest values of these FAs were recorded in MWW (89.13%) [1]. The change in FA profile may be a type of protecting mechanism that helps microorganisms to acclimate to changing environmental conditions. It has been previously reported that the composition of microalgal lipids can be altered by changing various physical conditions during cultivation, including feedstock [84,85]. Further research is required to find out the scalability of this culture concept and to enhance the FA content. According to literature increase of lipid content in microalgae and improvement on lipid extraction efficiency can be performed by manipulating the cultivation conditions or/and by controlling the extraction steps [86].
The FA methyl ester values recorded here are similar with earlier recorded data in studies using Leptolyngbya sp. and Limnothrix sp. [43,87], with carbon chain sizes ranging from C12 to C18, dominated by C16:0 and C18:1. FA profiles observed in this study indicate the suitability of the produced microbial oil for biodiesel production.
Finally, the BiodieselAnalyzer© software was used for analyzing theoretically biodiesel properties [88]. According to European standards, vehicular biodiesel should have a cetane number and an oxidation stability of a minimum of 47 and 6 h, respectively, while an iodine value lower than 120 g I2/100 g [89]. The estimated biodiesel properties of fatty acids contained a higher cetane number (56.86–65.22) and a lower iodine value (33.03–71.06 g I2/100 g) and a higher oxidation stability (6.71–15.54 h) as shown in Table 5.

4. Conclusions

A rich in OTU’s mixed microbial community, dominated by cyanobacteria and in taxon richness by bacteroidetes and firmicutes, was investigated in an attached photobioreactor system (using glass rods as support material to provide long-term operation conditions and allow light penetration) for its efficiency to remove organic and inorganic pollutants from agroindustrial wastewater effluents (dairy, winery, mixed winery and raisin effluents). The effect of initial pollutant concentrations on biomass production and lipid content was examined. High d-COD removal rates (up to 97.4%) and reduction in nitrogen (up to 97%) and phosphorus (87.4%) concentrations were observed for all substrates used. In fact, winery wastewater lead to d-COD removal rates of up to 95% in all experimental sets. Diluted dairy wastewater achieved the highest attached biomass productivity (5.03 g m−2 day−1) and the highest specific growth rate (μ = 0.925 day−1). The overall attached microbial biomass contained 10–23.2% lipids that were dominated by saturated and monounsaturated FAs thus indicating its suitability for biodiesel production. The above results indicate that the attached growth photobioreactor presented here can effectively treat agroindustrial wastewaters and simultaneously produce biomass suitable for biodiesel production, reducing significantly the cost of biodiesel production and environmental impacts. However, further research is needed to improve wastewater treatment as well as to enhance microbial growth rates and thus improving the sustainability of this technology. The most significant advantage of attached systems is that a harvesting step is more inexpensive or is even not required. Avoiding this expensive and time-consuming step deems microbial growth and lipid production more feasible. Some of the factors that need to be optimized for large-scale application of the proposed treatment system include seed culture preparation, uniform distribution of nutrients, light regime, bioreactor configuration, physicochemical parameters, biomass and lipid yield optimization and, primarily, harvesting and lipid extraction. To enhance the dominance of the cyanobacteria-based culture in field studies and large-scale treatment, the bioaugmentation process could be applied. Addition of the specific consortium would increase the existing microbial population and guarantee the efficiency of the entire biotreatment process.

Supplementary Materials

The following are available online at https://www.mdpi.com/2073-4441/10/11/1693/s1, Figure S1: Photographs of the experimental photobioreactors PBRs showing the gradual increase of microbial biomass in attached culture systems with dairy wastewater as growth substrate (1th to 7th day of culture), Figure S2: Visual increase of microbial biomass on glass rods in attached growth culture systems, Figure S3: Profile of suspended and total biomass production through time using different dilution ratios (A, B, C) of wastewater as growth medium [DWW: dairy wastewater, WWW: winery wastewater, MWW: mixed (winery and raisin) wastewater].

Author Contributions

Conceptualization, A.G.T. and D.V.V.; Methodology, A.G.T, D.V.V, G.A., M.M.-G. and O.N.T.; Validation, O.N.T., S.G.; Formal Analysis, C.S.A., O.N.T., S.G.; Investigation, O.N.T, S.G.; Writing-Original Draft Preparation, O.N.T., M.M.-G., S.G and A.G.T.; Writing-Review & Editing, A.G.T., D.V.V., G.A., C.S.A., M.M.-G. and O.N.T.

Funding

This research received no external funding.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Tsolcha, O.N.; Tekerlekopoulou, A.G.; Akratos, C.S.; Aggelis, G.; Genitsaris, S.; Moustaka-Gouni, M.; Vayenas, D.V. Biotreatment of raisin and winery wastewaters and simultaneous biodiesel production using a Leptolyngbya-based microbial consortium. J. Clean. Prod. 2017, 148, 185–193. [Google Scholar] [CrossRef]
  2. Chisti, Y. Biodiesel from microalgae. Biotechnol Adv 2007, 25, 294–306. [Google Scholar] [CrossRef] [PubMed]
  3. Cuellar-Bermudez, S.P.; Garcia-Perez, J.S.; Rittmann, B.E.; Parra-Saldivar, R. Photosynthetic bioenergy utilizing CO2: an approach on flue gases utilization for third generation biofuels. J. Clean. Prod. 2015, 98, 53–65. [Google Scholar] [CrossRef]
  4. Bellou, S.; Baeshen, M.N.; Elazzazy, A.M.; Aggeli, D.; Sayegh, F.; Aggelis, G. Microalgal lipids biochemistry and biotechnological perspectives. Biotechnol. Adv. 2014, 32, 1476–1493. [Google Scholar] [CrossRef] [PubMed]
  5. Benemann, J.R.; Oswald, W.J. Systems and Economic Analysis of Microalgae Ponds for Conversion of CO2 to Biomass; Final Report; US Department of Energy: Washington, DC, USA, 1996.
  6. Hai, H.; Ahlers, H.; Gorenflo, V.; Steinbüchel, A. Axenic cultivation of anoxygenic phototrophic bacteria, cyanobacteria, and microalgae in a new closed tubular glass photobioreactor. Appl. Microbiol. Biotechnol. 2000, 53, 383–389. [Google Scholar] [PubMed]
  7. Lakaniemi, A.M.; Intihar, V.M.; Tuovinen, O.H.; Puhakka, J.A. Growth of Chlorella vulgaris and associated bacteria in photobioreactors. Microb. Biotechnol. 2012, 5, 449. [Google Scholar] [CrossRef]
  8. De-Bashan, L.E.; Hernandez, J.P.; Morey, T.; Bashan, Y. Microalgae growth-promoting bacteria as “helpers” for microalgae: A novel approach for removing ammonium and phosphorus from municipal wastewater. Water Res. 2004, 38, 466–474. [Google Scholar] [CrossRef] [PubMed]
  9. Muñoz, R.; Guieysse, B. Algal-bacterial processes for the treatment of hazardous contaminants: A review. Water Res. 2006, 40, 2799–2815. [Google Scholar] [CrossRef] [PubMed]
  10. Gonçalves, A.L.; Pires, J.C.M.; Simões, M. Wastewater polishing by consortia of Chlorella vulgaris and activated sludge native bacteria. J. Clean. Prod. 2016, 133, 348–357. [Google Scholar] [CrossRef]
  11. Gutzeit, G.; Lorch, D.; Weber, A.; Engels, M.; Neis, U. Bioflocculent algal–bacterial biomass improves low-cost wastewater treatment. Water Sci. Technol. 2005, 52, 9–18. [Google Scholar] [CrossRef] [PubMed]
  12. Pittman, J.K.; Dean, A.P.; Osundeko, O. The potential of sustainable algal biofuel production using wastewater resources. Bioresour. Technol. 2011, 102, 17–25. [Google Scholar] [CrossRef] [PubMed]
  13. Van Den Hende, S.; Vervaeren, H.; Desmet, S.; Boon, N. Bioflocculation of microalgae and bacteria combined with flue gas to improve sewage treatment. New Biotechnol. 2011, 29, 23–31. [Google Scholar] [CrossRef]
  14. Hoffmann, J.P. Wastewater treatment with suspended and non-suspended algae. J. Phycol. 1998, 34, 757–763. [Google Scholar] [CrossRef]
  15. Christenson, L.; Sims, R. Production and harvesting of microalgae for wastewater treatment, biofuels, and bioproducts. Biotechnol. Adv. 2011, 29, 686–702. [Google Scholar] [CrossRef] [PubMed]
  16. Kesaano, M.; Sims, R.C. Algal biofilm based technology for wastewater treatment. Algal Res. 2014, 5, 231–240. [Google Scholar] [CrossRef]
  17. Katarzyna, L.; Sai, G.; Avijeet Singh, O. Non-enclosure methods for non-suspended microalgae cultivation: Literature review and research needs. Renew. Sustain. Energy Rev. 2015, 42, 1418–1427. [Google Scholar] [CrossRef] [Green Version]
  18. Christenson, L.B.; Sims, R.C. Rotating algal biofilm reactor and spool harvester for wastewater treatment with biofuels by-products. Biotechnol. Bioeng. 2012, 109, 1674–1684. [Google Scholar] [CrossRef] [PubMed]
  19. Pizarro, C.; Kebede-Westhead, E.; Mulbry, W. Nitrogen and phosphorus removal rates using small algal turfs grown with dairy manure. J. Appl. Phycol. 2002, 14, 469–473. [Google Scholar] [CrossRef]
  20. Mulbry, W.; Kondrad, S.; Buyer, J. Treatment of dairy and swine manure effluents using freshwater algae: Fatty acid content and composition of algal biomass at different manure loading rates. J. Appl. Phycol. 2008, 20, 1079–1085. [Google Scholar] [CrossRef]
  21. Mulbry, W.; Kondrad, S.; Pizarro, C.; Kebede-Westhead, E. Treatment of dairy manure effluent using freshwater algae: Algal productivity and recovery of manure nutrients using pilot-scale algal turf scrubbers. Bioresour. Technol. 2008, 99, 8137–8142. [Google Scholar] [CrossRef] [PubMed]
  22. Johnson, M.B.; Wen, Z. Development of an attached microalgal growth system for biofuel production. Appl. Microbiol. Biotechnol. 2010, 85, 525–534. [Google Scholar] [CrossRef] [PubMed]
  23. Adey, W.H.; Kangas, P.C.; Mulbry, W. Algal turf scrubbing: Cleaning surface waters with solar energy while producing a biofuel. BioScience 2011, 61, 434–441. [Google Scholar] [CrossRef]
  24. Cao, J.; Yuan, W.; Pei, Z.; Davis, T.; Cui, Y.; Beltran, M. A preliminary study of the effect of surface texture on algae cell attachment for a mechanical-biological energy manufacturing system. J. Manuf. Sci. Eng. 2009, 131, 064505. [Google Scholar] [CrossRef]
  25. Sekar, R.; Venugopalan, V.; Satpathy, K.; Nair, K.; Rao, V. Laboratory studies on adhesion of microalgae to hard substrates. Hydrobiologia 2004, 512, 109–116. [Google Scholar] [CrossRef]
  26. Gross, M.; Henry, W.; Michael, C.; Wen, Z. Development of a rotating algal biofilm growth system for attached microalgae growth with in situ biomass harvest. Bioresour. Technol. 2013, 150, 195–201. [Google Scholar] [CrossRef] [PubMed]
  27. Sekar, R.; Nair, K.; Rao, V.; Venugopalan, V. Nutrient dynamics and successional changes in a lentic freshwater biofilm. Freshw. Biol. 2002, 47, 1893–1907. [Google Scholar] [CrossRef]
  28. Bott, T.R. Industrial Biofouling; Elsevier: Amsterdam, The Netherlands, 2011; ISBN 978-0-444-53224-4. [Google Scholar]
  29. Latour, R.A. Biomaterials: Protein-surface interactions. In Encyclopedia of Biomaterials and Biomedical Engineering; Marcel, D., Ed.; CRC Press: New York, NY, USA, 2005; pp. 270–278. [Google Scholar]
  30. Genzer, J.; Efimenko, K. Recent developments in superhydrophobic surfaces and their relevance to marine fouling: a review. Biofouling 2006, 22, 339–360. [Google Scholar] [CrossRef] [PubMed]
  31. Cowling, M.; Hodgkiess, T.; Parr, A.; Smith, M.; Marrs, S. An alternative approach to antifouling based on analogues of natural processes. Sci. Total Environ. 2000, 258, 129–137. [Google Scholar] [CrossRef]
  32. Barranguet, C.; Veuger, B.; Van Beusekom, S.A.; Marvan, P.; Sinke, J.J.; Admiraal, W. Divergent composition of algal-bacterial biofilms developing under various external factors. Eur. J. Phycol. 2005, 40, 1–8. [Google Scholar] [CrossRef] [Green Version]
  33. Schnurr, P.J.; Espie, G.S.; Allen, D.G. Algae biofilm growth and the potential to stimulate lipid accumulation through nutrient starvation. Bioresour. Technol. 2013, 136, 337–344. [Google Scholar] [CrossRef] [PubMed]
  34. Liu, T.; Wang, J.; Hu, Q.; Cheng, P.; Ji, B.; Liu, J.; Chen, Y.; Zhang, W.; Chen, X.; Chen, L.; et al. Attached cultivation technology of microalgae for efficient biomass feedstock production. Bioresour. Technol. 2013, 127, 216–222. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Houser, J.B.; Venable, M.E.; Sakamachi, Y.; Hambourger, M.S.; Herrin, J.; Tuberty, S.R. Wastewater remediation using algae grown on a substrate for biomass and biofuel production. J. Environ. Prot. 2014, 5, 897. [Google Scholar] [CrossRef]
  36. Singh, J.; Tripathi, R.; Thakur, I.S. Characterization of endolithic cyanobacterial strain, Leptolyngbya sp. ISTCY101, for prospective recycling of CO2 and biodiesel production. Bioresour. Technol. 2014, 166, 345–352. [Google Scholar] [CrossRef] [PubMed]
  37. Boelee, N.C.; Temmink, H.; Janssen, M.; Buisman, C.J.N.; Wijffels, R.H. Nitrogen and phosphorus removal from municipal wastewater effluent using microalgal biofilms. Water Res. 2011, 45, 5925–5933. [Google Scholar] [CrossRef] [PubMed]
  38. Singh, J.; Thakur, I.S. Evaluation of cyanobacterial endolith Leptolyngbya sp. ISTCY101, for integrated wastewater treatment and biodiesel production: A toxicological perspective. Algal Res. 2015, 11, 294–303. [Google Scholar] [CrossRef]
  39. Sukačová, K.; Trtílek, M.; Rataj, T. Phosphorus removal using a microalgal biofilm in a new biofilm photobioreactor for tertiary wastewater treatment. Water Res. 2015, 71, 55–63. [Google Scholar] [CrossRef] [PubMed]
  40. Su, Y.; Mennerich, A.; Urban, B. Municipal wastewater treatment and biomass accumulation with a wastewater-born and settleable algal-bacterial culture. Water Res. 2011, 45, 3351–3358. [Google Scholar] [CrossRef] [PubMed]
  41. Zamalloa, C.; Boon, N.; Verstraete, W. Decentralized two-stage sewage treatment by chemical–biological flocculation combined with microalgae biofilm for nutrient immobilization in a roof installed parallel plate reactor. Bioresour. Technol. 2013, 130, 152–160. [Google Scholar] [CrossRef] [PubMed]
  42. Posadas, E.; García-Encina, P.A.; Soltau, A.; Domínguez, A.; Díaz, I.; Muñoz, R. Carbon and nutrient removal from centrates and domestic wastewater using algal–bacterial biofilm bioreactors. Bioresour. Technol. 2013, 139, 50–58. [Google Scholar] [CrossRef] [PubMed]
  43. Economou, C.N.; Marinakis, N.; Moustaka-Gouni, M.; Kehayias, G.; Aggelis, G.; Vayenas, D.V. Lipid production by the filamentous cyanobacterium Limnothrix sp. growing in synthetic wastewater in suspended-and attached-growth photobioreactor systems. Ann. Microbiol. 2015, 65, 1941–1948. [Google Scholar] [CrossRef]
  44. Travieso, L.; Benítez, F.; Sánchez, E.; Borja, R.; Colmenarejo, M.F. Production of biomass (algae-bacteria) by using a mixture of settled swine and sewage as substrate. J. Environ. Sci. Health Part A Tox. Hazard. Subst. Environ. Eng. 2006, 41, 415–429. [Google Scholar] [CrossRef] [PubMed]
  45. De Godos, I.; González, C.; Becares, E.; García-Encina, P.A.; Muñoz, R. Simultaneous nutrients and carbon removal during pretreated swine slurry degradation in a tubular biofilm photobioreactor. Appl. Microbiol. Biotechnol. 2009, 82, 187–194. [Google Scholar] [CrossRef] [PubMed]
  46. Godos, I.D.; Blanco, S.; García-Encina, P.A.; Becares, E.; Muñoz, R. Long-term operation of high rate algal ponds for the bioremediation of piggery wastewaters at high loading rates. Bioresour. Technol. 2009, 100, 4332–4339. [Google Scholar] [CrossRef] [PubMed]
  47. Tatoulis, T.I.; Tekerlekopoulou, A.G.; Akratos, C.S.; Pavlou, S.; Vayenas, D.V. Aerobic biological treatment of second cheese whey in suspended and attached growth reactors. J. Chem. Technol. Biotechnol. 2015, 90, 2040–2049. [Google Scholar] [CrossRef]
  48. Klindworth, A.; Pruesse, E.; Schweer, T.; Peplies, J.; Quast, C.; Horn, M.; Glöckner, F.O. Evaluation of general 16S ribosomal RNA gene PCR primers for classical and next-generation sequencing-based diversity studies. Nucleic Acids Res. 2013, 41, e1. [Google Scholar] [CrossRef] [PubMed]
  49. Shallowater, TX, USA. Available online: http://mrdnalab.com/ (accessed on 17 November 2018).
  50. Schloss, P.D.; Westcott, S.L.; Ryabin, T.; Hall, J.R.; Hartmann, M.; Hollister, E.B.; Lesniewski, R.A.; Oakley, B.B.; Parks, D.H.; Robinson, C.J. Introducing mothur: open-source, platform-independent, community-supported software for describing and comparing microbial communities. Appl. Environ. Microbiol. 2009, 75, 7537–7541. [Google Scholar] [CrossRef] [PubMed]
  51. Schloss, P.D.; Gevers, D.; Westcott, S.L. Reducing the effects of PCR amplification and sequencing artifacts on 16S rRNA-based studies. PLoS ONE 2011, 6, e27310. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  52. Quast, C.; Pruesse, E.; Yilmaz, P.; Gerken, J.; Schweer, T.; Yarza, P.; Peplies, J.; Glöckner, F.O. The SILVA ribosomal RNA gene database project: Improved data processing and web-based tools. Nucleic Acids Res. 2012, 41, D590–D596. [Google Scholar] [CrossRef] [PubMed]
  53. Edgar, R.C. Search and clustering orders of magnitude faster than BLAST. Bioinformatics 2010, 26, 2460–2461. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  54. Kunin, V.; Engelbrektson, A.; Ochman, H.; Hugenholtz, P. Wrinkles in the rare biosphere: pyrosequencing errors can lead to artificial inflation of diversity estimates. Environ. Microbiol. 2010, 12, 118–123. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  55. Altschul, S.F.; Gish, W.; Miller, W.; Myers, E.W.; Lipman, D.J. Basic local alignment search tool. J. Mol. Biol. 1990, 215, 403–410. [Google Scholar] [CrossRef]
  56. Tang, H.; Abunasser, N.; Garcia, M.E.D.; Chen, M.; Ng, K.Y.S.; Salley, S.O. Potential of microalgae oil from Dunaliella tertiolecta as a feedstock for biodiesel. Appl. Energy 2011, 88, 3324–3330. [Google Scholar] [CrossRef]
  57. American Public Health Association. Standard Methods for the Examination of Water and Wastewater, 21st ed.; American Public Health Association: Washington, DC, USA, 2005. [Google Scholar]
  58. DuBois, M.; Gilles, K.A.; Hamilton, J.K.; Rebers, P.A.; Smith, F. Colorimetric Method for Determination of Sugars and Related Substances. Anal. Chem. 1956, 28, 350–356. [Google Scholar] [CrossRef]
  59. American Public Health Association. Standard Methods for the Examination of Water and Wastewater, 20th ed.; American Public Health Association: Washington, DC, USA, 1998. [Google Scholar]
  60. Folch, J.; Lees, M.; Sloane-Stanley, G. A simple method for the isolation and purification of total lipids from animal tissues. J. Biol. Chem. 1957, 226, 497–509. [Google Scholar] [PubMed]
  61. Bellou, S.; Aggelis, G. Biochemical activities in Chlorella sp. and Nannochloropsis salina during lipid and sugar synthesis in a lab-scale open pond simulating reactor. J. Biotechnol. 2013, 164, 318–329. [Google Scholar] [CrossRef] [PubMed]
  62. Association Francaise de Normalisation (AFNOR). Recueil de Normes Francaises des Corps Gras, Graines Oleagineuses et Produits Derives, 3rd ed.; AFNOR: Paris, France, 1984. [Google Scholar]
  63. Gkelis, S.; Rajaniemi, P.; Vardaka, E.; Moustaka-Gouni, M.; Lanaras, T.; Sivonen, K. Limnothrix redekei (Van Goor) Meffert (Cyanobacteria) strains from Lake Kastoria, Greece form a separate phylogenetic group. Microb. Ecol. 2005, 49, 176–182. [Google Scholar] [CrossRef] [PubMed]
  64. Maza-Márquez, P.; González-Martínez, A.; Martínez-Toledo, M.; Fenice, M.; Lasserrot, A.; González-López, J. Biotreatment of industrial olive washing water by synergetic association of microalgal-bacterial consortia in a photobioreactor. Environ. Sci. Pollut. Res. Int. 2017, 24, 527–538. [Google Scholar] [CrossRef] [PubMed]
  65. Mahdavi, H.; Prasad, V.; Liu, Y.; Ulrich, A.C. In situ biodegradation of naphthenic acids in oil sands tailings pond water using indigenous algae–bacteria consortium. Bioresour. Technol. 2015, 187, 97–105. [Google Scholar] [CrossRef] [PubMed]
  66. Van Den Hende, S.; Beelen, V.; Julien, L.; Lefoulon, A.; Vanhoucke, T.; Coolsaet, C.; Sonnenholzner, S.; Vervaeren, H.; Rousseau, D.P.L. Technical potential of microalgal bacterial floc raceway ponds treating food-industry effluents while producing microalgal bacterial biomass: An outdoor pilot-scale study. Bioresour. Technol. 2016, 218, 969–979. [Google Scholar] [CrossRef] [PubMed]
  67. Juneja, A.; Ceballos, R.M.; Murthy, G.S. Effects of environmental factors and nutrient availability on the biochemical composition of algae for biofuels production: A review. Energies 2013, 6, 4607–4638. [Google Scholar] [CrossRef]
  68. Kunkee, R. Malo-lactic fermentation and winemaking. In Chemistry of Winemaking; American Chemical Society: Washington DC, USA, 1974; pp. 151–170. [Google Scholar]
  69. Rawat, I.; Gupta, S.K.; Shriwastav, A.; Singh, P.; Kumari, S.; Bux, F. Microalgae applications in wastewater treatment. In Algae Biotechnology (Green Energy and Technology); Bux, F., Chisti, Y., Eds.; Springer: Cham, Switzerland, 2016; pp. 249–268. [Google Scholar]
  70. Bai, X.; Lant, P.; Pratt, S. The contribution of bacteria to algal growth by carbon cycling. Biotechnol. Bioeng. 2015, 112, 688–695. [Google Scholar] [CrossRef] [PubMed]
  71. Leite, G.B.; Hallenbeck, P.C. Engineered cyanobacteria: research and application in bioenergy. In Bioenergy Research: Advances and Applications; Elsevier: Amsterdam, The Netherlands, 2014. [Google Scholar]
  72. De la Noüe, J.; Laliberté, G.; Proulx, D. Algae and waste water. J. Appl. Phycol. 1992, 4, 247–254. [Google Scholar] [CrossRef]
  73. Markou, G.; Georgakakis, D. Cultivation of filamentous cyanobacteria (blue-green algae) in agro-industrial wastes and wastewaters: A review. Appl. Energy 2011, 88, 3389–3401. [Google Scholar] [CrossRef]
  74. Tosteson, T.; Corpe, W. Enhancement of adhesion of the marine Chlorella vulgaris to glass. Can. J. Microbiol. 1975, 21, 1025–1031. [Google Scholar] [CrossRef] [PubMed]
  75. Beevi, U.S.; Sukumaran, R.K. Cultivation of the fresh water microalga Chlorococcum sp. RAP13 in sea water for producing oil suitable for biodiesel. J. Appl. Phycol. 2015, 27, 141–147. [Google Scholar] [CrossRef]
  76. Hu, B.; Min, M.; Zhou, W.; Du, Z.; Mohr, M.; Chen, P.; Zhu, J.; Cheng, Y.; Liu, Y.; Ruan, R. Enhanced mixotrophic growth of microalga Chlorella sp. on pretreated swine manure for simultaneous biofuel feedstock production and nutrient removal. Bioresour. Technol. 2012, 126, 71–79. [Google Scholar] [CrossRef] [PubMed]
  77. European Commission, Council Directive 91/271/EEC concerning urban wastewater treatment. Off. J. Eur. Communit. 1991, 135, 40–52.
  78. Tsolcha, O.N.; Tekerlekopoulou, A.G.; Akratos, C.S.; Bellou, S.; Aggelis, G.; Katsiapi, M.; Moustaka-Gouni, M.; Vayenas, D.V. Treatment of second cheese whey effluents using a Choricystis-based system with simultaneous lipid production. J. Chem. Technol. Biotechnol. 2015, 91, 2349–2359. [Google Scholar] [CrossRef]
  79. Markou, G.; Vandamme, D.; Muylaert, K. Microalgal and cyanobacterial cultivation: The supply of nutrients. Water Res. 2014, 65, 186–202. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  80. Knothe, G. “Designer” Biodiesel: Optimizing Fatty Ester Composition to Improve Fuel Properties. Energy Fuels 2008, 22, 1358–1364. [Google Scholar] [CrossRef]
  81. Knothe, G. Dependence of biodiesel fuel properties on the structure of fatty acid alkyl esters. Fuel Process. Technol. 2005, 86, 1059–1070. [Google Scholar] [CrossRef]
  82. Schenk, P.M.; Thomas-Hall, S.R.; Stephens, E.; Marx, U.C.; Mussgnug, J.H.; Posten, C.; Kruse, O.; Hankamer, B. Second generation biofuels: high-efficiency microalgae for biodiesel production. Bioenergy Res. 2008, 1, 20–43. [Google Scholar] [CrossRef]
  83. Josephine, A.; Niveditha, C.; Radhika, A.; Shali, A.B.; Kumar, T.S.; Dharani, G.; Kirubagaran, R. Analytical evaluation of different carbon sources and growth stimulators on the biomass and lipid production of Chlorella vulgaris-Implications for biofuels. Biomass Bioenergy 2015, 75, 170–179. [Google Scholar] [CrossRef]
  84. Gao, C.; Zhai, Y.; Ding, Y.; Wu, Q. Application of sweet sorghum for biodiesel production by heterotrophic microalga Chlorella protothecoides. Appl. Energy 2010, 87, 756–761. [Google Scholar] [CrossRef]
  85. Knothe, G. A technical evaluation of biodiesel from vegetable oils vs. algae. Will algae-derived biodiesel perform? Green Chem. 2011, 13, 3048–3065. [Google Scholar] [CrossRef]
  86. Zhang, X.L.; Yan, S.; Tyagi, R.D.; Surampalli, R.Y. Biodiesel production from heterotrophic microalgae through transesterification and nanotechnology application in the production. Renew. Sustain. Energy Rev. 2013, 26, 216–223. [Google Scholar] [CrossRef]
  87. Rós, P.; Da, C.; Silva, C.S.; Silva-Stenico, M.E.; Fiore, M.F.; Castro, H.F.D. Assessment of chemical and physico-chemical properties of cyanobacterial lipids for biodiesel production. Mar. Drugs 2013, 11, 2365–2381. [Google Scholar] [CrossRef] [PubMed]
  88. Talebi, A.F.; Tabatabaei, M.; Chisti, Y. Biodiesel Analyzer: A user-friendly software for predicting the properties of prospective biodiesel. Biofuel Res. J. 2014, 1, 55–57. [Google Scholar] [CrossRef]
  89. Knothe, G. Analyzing biodiesel: standards and other methods. J. Am. Oil Chem. Soc. 2006, 83, 823–833. [Google Scholar] [CrossRef]
Figure 1. (a) Micrograph of Leptolyngbya aggregation of trichomes, part of the biofilm, as seen by phase contrast light microscopy; (b) Micrograph of part of a trichome aggregate showing details of Leptolyngbya and Limnothrix (asterisk) trichomes and heterotrophic bacteria (free bacteria are indicated by the thin arrows and the attached bacterial colony is indicated by a thick arrow).
Figure 1. (a) Micrograph of Leptolyngbya aggregation of trichomes, part of the biofilm, as seen by phase contrast light microscopy; (b) Micrograph of part of a trichome aggregate showing details of Leptolyngbya and Limnothrix (asterisk) trichomes and heterotrophic bacteria (free bacteria are indicated by the thin arrows and the attached bacterial colony is indicated by a thick arrow).
Water 10 01693 g001
Figure 2. Profile of attached biomass production through time using different dilution ratios (A, B, C) of wastewater as growth medium [DWW: dairy wastewater, WWW: winery wastewater, MWW: mixed (winery and raisin) wastewater].
Figure 2. Profile of attached biomass production through time using different dilution ratios (A, B, C) of wastewater as growth medium [DWW: dairy wastewater, WWW: winery wastewater, MWW: mixed (winery and raisin) wastewater].
Water 10 01693 g002
Figure 3. Profile of d-COD removal through time using different dilution ratios (A, B, C) of wastewater as growth medium [DWW: dairy wastewater, WWW: winery wastewater, MWW: mixed (winery and raisin) wastewater].
Figure 3. Profile of d-COD removal through time using different dilution ratios (A, B, C) of wastewater as growth medium [DWW: dairy wastewater, WWW: winery wastewater, MWW: mixed (winery and raisin) wastewater].
Water 10 01693 g003
Figure 4. Profile of total sugars removal through time using different dilution ratios (A, B, C) of mixed wastewater as growth medium [DWW: dairy wastewater, WWW: winery wastewater, MWW: mixed (winery and raisin) wastewater].
Figure 4. Profile of total sugars removal through time using different dilution ratios (A, B, C) of mixed wastewater as growth medium [DWW: dairy wastewater, WWW: winery wastewater, MWW: mixed (winery and raisin) wastewater].
Water 10 01693 g004
Figure 5. Profile of nitrate removal through time using different dilution ratios (A, B, C) of wastewater as growth medium [DWW: dairy wastewater, WWW: winery wastewater, MWW: mixed (winery and raisin) wastewater].
Figure 5. Profile of nitrate removal through time using different dilution ratios (A, B, C) of wastewater as growth medium [DWW: dairy wastewater, WWW: winery wastewater, MWW: mixed (winery and raisin) wastewater].
Water 10 01693 g005
Figure 6. Profile of orthophosphate removal through time using different dilution ratios (A, B, C) of wastewater as growth medium [DWW: dairy wastewater, WWW: winery wastewater, MWW: mixed (winery and raisin) wastewater].
Figure 6. Profile of orthophosphate removal through time using different dilution ratios (A, B, C) of wastewater as growth medium [DWW: dairy wastewater, WWW: winery wastewater, MWW: mixed (winery and raisin) wastewater].
Water 10 01693 g006
Figure 7. Fatty acid analysis of the lipids produced by the microbial consortium in attached growth systems cultivated in the all substrates (DWW: dairy wastewater, WWW: winery wastewater, MWW: mixed wastewater, Stock: synthetic medium).
Figure 7. Fatty acid analysis of the lipids produced by the microbial consortium in attached growth systems cultivated in the all substrates (DWW: dairy wastewater, WWW: winery wastewater, MWW: mixed wastewater, Stock: synthetic medium).
Water 10 01693 g007
Table 1. Synoptic literature review of the conditions and yields of microalgae-based attached systems using different growth substrate.
Table 1. Synoptic literature review of the conditions and yields of microalgae-based attached systems using different growth substrate.
SubstratePretreatment of SubstrateCulture Conditions/Support MaterialCulture SpeciesInitial
d-COD
(mg L−1)
/%Removal
%
Lipid Content in Total Dry Biomass (Attached)
% Nutrient RemovalC/NBiomass Productivity
(g m−2 day−1)
/Growth Rate
(day−1)
References
NH4+NO3TNPO43−TP
Nutrient medium
BG-11
-Indoor
Outdoor
/Glass with filter paper
Scenedesmus obliquus-47.9
-
------5.2/-
50–80/-
[34]
Nutrient medium F2-Continuous
/Cotton Cloth
Chlorella vulgaris---40--43-0.719/-[35]
Nutrient medium
BG-11
Artificial seawater
AutoclavedSemi-continuous
/
Stainless steel mesh
Leptolyngbya sp. -16–21------2.012/-
1.87/-
[36]
Municipal wastewaterEnriched with NaNO3Continuous/plastic sheets PVC Nitzschia sp.,
green filaments
---100-98--7.7/-[37]
Municipal wastewaterAutoclavedSemi-continuous
/Marble slab
Leptolyngbya sp. 428
/-
18.2–24.8100100--100 2.93/0.369[38]
Municipal wastewater-Continuous
/
Concrete slab
Phormidium autumnale,
Pseudanabaena sp.,
Chrococcus sp.,
Scenedesmus acutus
Cymbella minuta
-
-----97-12.21/-[39]
Municipal
wastewater
Secondary treatmentBench/PVC
Medium/PVC
Pilot/aluminum wheel with cotton cords
Mixed culture biofilms: Chlorella, Scenedesmus, Pediastrum, Nitzschia, Navicula, Crucigenia, Synedra, diatoms-11.2–13.8
-
--
76
-88
23
-5.5/-
20/-
31/-
[17]
Municipal wastewaterScreening,
grit removal
Batch
/transparent PVC
Filamentous blue-green, Bacteroidia, Flavobacteria,
Beta/Gamma-proteobacteria
190.9
/
98.2
-100-78.8-64.8-10.9/-[40]
Municipal wastewaterSand and grease trap,
Sieved
Batch
/
Plexiglas
Mixed microalgae and aerobic bacteria flocs-14.1--~55-~604.2218.4/-[13]
Domestic wastewaterSand filterContinuous
/Polycarbonate wall
Scenedesmus obliquusTotal:
143/73
Soluble:
59/43
-94-6699961.442.5/-[41]
Domestic wastewater and centratesAnaerobically digested mixed sludge, primary sedimentation Continuous/thick foam PVCMixed algal bacterial cultureTOC:
76 mgL−1/50
180 mgL−1/86
-100-30–8077–90-1.2–3.10.5–3.1/-[42]
Synthetic wastewater Batch/cylindrical glass rodsLimnothrix sp.Carbohydrates
< 4.5 mg L−1
21 (24.14)-80.9-98.54--1.11/-[43]
Mixture of settled swine and sewageScreened through 2-mm meshContinuous
/
Acrylic plastic ponds
Chlorella vulgaris,
aerobic bacteria
298
/
90.6
-73.7--91.777.8-37.2–39.2
/
-
[44]
Dairy manure effluentRaw
Anaerobically digested
Outdoor
/
Turf scrubber raceways
Rhizoclonium hieroglyphicum,
Microspora willeana,
Ulothrix ozonata,
Oedogonium sp.
-
-
-
-
-
-
-
-
60–90
-
-
-
70–100
-
9–12
4–6.5
25/-
-
[21]
Dairy manure wastewaterFiltrationSemi-continuous/polystyrene foam Chlorella sp.-998.7-798093-2.57/-[22]
Dairy manure effluent

Swine manure effluent
Anaerobically digested dairy
Raw dairy
Raw swine manure effluent
Indoor/ATS
Outdoor/ATS
Indoor/ATS
Outdoor/ATS
Indoor/ATS
Rhizoclonium hieroglyphicum-
-
-
-
-
7.7
6
7.5
9.9
9.3
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
21/-
7.6/-
21.3/-
14.6/-
10.7/-
[20]
Swine slurryCentrifugedContinuous
/PVC transparent tube
Chlorella sorokiniana, bacterial community from swine manure--94 94–100 70–90 -[45]
Swine manure Rotary screen through 0.15 mm, Diluted Continuous outdoor
/Flexible white PVC
Mixed algal-bacterial consortium1220
2417
/
76
-96
-28
69
-<10-21.3–27.7/-[46]
Dairy wastewaterAerobically Batch/
cylindrical glass rods
Mixed
Leptolyngbya/Limnothrix-based consortium
3075/93.6
2420/65.5
16.1 (11.5)
16.1 (19)
-
-
87.5
49.5
70.5
73.4
83.2
68.4
-
-
141.6
61.3
2.89/0.460
5.03/0.925
This study
Winery wastewater Batch/
cylindrical glass rods
Mixed
Leptolyngbya/Limnothrix–based consortium
4675/7.4
2385/95.8
21 (23.2)
19.6 (10.9)
-
-
54.6
77.7
80
87.7
34.2
38.3
-
-
186
243
1.61/0.530
3.08/0.683
This study
Mixed wastewater Batch/
cylindrical glass rods
Mixed
Leptolyngbya/Limnothrix–based consortium
5090/91.1
1930/91.5
16.2 (17.4)
18.6 (11.5)
-
-
79.6
90.5
87
97.1
87.4
52.9
-
-
175.5
34.8
4.12/0.536
1.23/0.420
This study
ATS: Algal turf scrubbers.
Table 2. Characterization of all types of wastewater used as growth medium for a microbial population dominated by cyanobacteria species (DWW: dairy wastewater, WWW: winery wastewater, MWW: mixed winery-raisin wastewaters).
Table 2. Characterization of all types of wastewater used as growth medium for a microbial population dominated by cyanobacteria species (DWW: dairy wastewater, WWW: winery wastewater, MWW: mixed winery-raisin wastewaters).
Experimental SetInitial d-COD (mg L−1)Initial Concentrations (mg L−1)Initial Biomass Concentration (mg L−1)C:NN:P
NO3TNPO43−Total Sugars
DWW-A4081 ± 54.813.64 ± 0.359.22 ± 4.926 ± 0.62713.25 ± 52.8276 ± 14.1468.922.3
DWW-B3075 ± 257.710.4 ± 1.121.72 ± 4.113.1 ± 0.49302.1 ± 46.25268 ± 2.83141.61.66
DWW-C2420 ± 106.77.85 ± 0.1815 ± 3.48.48 ± 2.24618.3 ± 103.2390 ± 14.14161.31.76
WWW-A4675 ± 109.611.03 ± 0.125.12 ± 9.85.8 ± 0.389.21 ± 0.165.71 ± 10.7186.124.33
WWW-B3806 ± 74.38.56 ± 0.133.12 ± 4.52.8 ± 0.0780.5 ± 2.564 ± 2.03114.911.8
WWW-C2385 ± 43.45.4 ± 0.0079.82 ± 25.5 ± 0.00741.3 ± 0.4759 ± 2.832431.8
MWW-A5091 ± 270.318.35 ± 0.428.9 ± 5.315.5 ± 0.64190.3 ± 6.93202 ± 19.8175.51.9
MWW-B4116.2 ± 61.58.07 ± 0.316.48 ± 0.045.1 ± 0.17112.13 ± 4105 ± 24.04249.53.24
MWW-C1927.5 ± 409.416.95 ± 0.155.5 ± 4.8511.25 ± 0.1256.82 ± 4.1679 ± 1.434.774.83
Table 3. List of the overall dominant Operational Taxonomic Units (OTUs) in all samples (with relative abundance > 1% of the total number of sequences in all samples), their high taxonomic affiliation, their closest relative based on BLAST searches against the SILVA 128 database, the isolation source of the strain, and their relative abundance (%) in the stock culture and the two treatments.
Table 3. List of the overall dominant Operational Taxonomic Units (OTUs) in all samples (with relative abundance > 1% of the total number of sequences in all samples), their high taxonomic affiliation, their closest relative based on BLAST searches against the SILVA 128 database, the isolation source of the strain, and their relative abundance (%) in the stock culture and the two treatments.
OTUsPutative Taxonomic AffiliationClosest Relative (% Similarity) [Accession Number]Isolation SourceStock CultureDairy WastewaterWinery Wastewater
OTU001BacteroidetesPrevotellaceae sp. (99%) [JF806757]Sewage from bioreactor0.1577.90.37
OTU002FirmicutesPediococcus parvulus (99%) [MF540542]Calabrian sourdough0.150.4757.4
OTU003FirmicutesLactobacillus delbrueckii (99%) [CP023139]Complete genome0.0114.30.52
OTU005CyanobacteriaLeptolyngbya sp. (98%) [FJ410906]Industrial estate21.00.100.08
OTU006ProteobacteriaLysobacter brunescens (99%) [KC157043]Lake18.40.080.09
OTU008CyanobacteriaLimnothrix planktonica (99%) [KP726241]Freshwater16.50.110.07
OTU010BacteroidetesUncultured clone (99%) [FJ377379]Unknown10.40.080.02
OTU013BacteroidetesUncultured clone (95%) [GU074246]Groundwater7.760.040.03
OTU009ProteobacteriaAcinetobacter baumannii (99%) [KY114513]Environmental sample0.010.094.75
OTU011FirmicutesDialister sp. (99%) [KM396274]Human feces03.730.03
OTU016BacteroidetesFluviimonas pallidilutea (99%) [KU991470]Surface water5.120.030.01
OTU021FirmicutesOenococcus oeni (99%) [KY561609]Red wine0.010.022.93
Table 4. Values of nutrient removal, oil content, biomass productivity and specific growth rate for each set of experiments (DWW: dairy wastewater, WWW: winery wastewater, MWW: mixed winery and raisin wastewaters).
Table 4. Values of nutrient removal, oil content, biomass productivity and specific growth rate for each set of experiments (DWW: dairy wastewater, WWW: winery wastewater, MWW: mixed winery and raisin wastewaters).
Experimental SetRemoval Rate %d-COD Removal
%
Maximum % Oil ContentBiomass ProductivitySpecific Attached Growth Rate (day−1)
NO3TNPO43−Total SugarsTotal AttachedTotal
mg (L day)−1
Attached
g (m2 day)−1
DWW-A53.7 ± 0.389.3 ± 0.180.8 ± 0.685.2 ± 0.3688.5 ± 0.214.8 ± 3.5715.3 ± 0.88292.82.740.217
DWW-B87.5 ± 0.679.3 ± 2.583.2 ± 3.278.1 ± 4.993.6 ± 1.416.1 ± 0.4311.5 ± 1.45118.12.890.46
DWW-C49.4 ± 973.4 ± 1.768.4 ± 8.385.2 ± 2.365.5 ± 0.9516.1 ± 0.5219 ± 1.98249.55.030.925
WWW-A54.6 ± 4.580 ± 234.2 ± 5.1516.5 ± 4.6497.4 ± 0.7321 ± 1.4923.2 ± 0.3298.91.610.53
WWW-B37.8 ± 2.3483.2 ± 0.110.2 ± 0.0232 ± 1.9495 ± 1.1216 ± 0.6418.7 ± 379.561.30.333
WWW-C77.7 ± 0.6387.7 ± 0.638.3 ± 2544.4 ± 5.0595.8 ± 0.7819.6 ± 0.310.9 ± 3.890.73.080.683
MWW-A79.6 ± 0.2387 ± 0.1387.4 ± 0.740.1 ± 1.3791.1 ± 0.6116.2 ± 1.1317.4 ± 3.27230.734.120.536
MWW-B55 ± 9.277.8 ± 460.2 ± 2.149 ± 0.4189 ± 4.69.8 ± 0.058.9 ± 2.1175.252.70.587
MWW-C90.53 ± 0.397.1 ± 0.0952.9 ± 1.9741.9 ± 4.1391.54 ± 0.418.6 ± 211.5 ± 1.71131.230.42
Table 5. Theoretical biodiesel properties of the microalgal mat based on their fatty acid composition in different substrates (DWW: dairy wastewater, WWW: winery wastewater, MWW: mixed winery and raisin wastewaters, Stock: synthetic medium).
Table 5. Theoretical biodiesel properties of the microalgal mat based on their fatty acid composition in different substrates (DWW: dairy wastewater, WWW: winery wastewater, MWW: mixed winery and raisin wastewaters, Stock: synthetic medium).
Biodiesel PropertiesDWWWWWMWWStock
Saponification value (mg KOH/g fat)165.96197.61212.81205.56
Iodine value (g I2/100 g)62.0765.2333.0371.06
Cetane number65.2259.2464.5256.86
Long chain saturated factor4.863.715.793.18
Cold filter plugging point (°C)−1.20−4.861.71−6.48
Cloud point (°C)6.615.675.697.02
Allylic position equivalents64.4357.3124.3056.69
Bis-allylic position equivalents28.6311.1219.2522.316
Oxidation stability (h)6.7115.547.819.28
Higher heating value (mJ/kg)30.6236.2535.7235.77
Kinematic viscosity (mm2/s)2.683.262.942.93
Density (g/cm3)0.6840.8090.8040.806

Share and Cite

MDPI and ACS Style

Tsolcha, O.N.; Tekerlekopoulou, A.G.; Akratos, C.S.; Aggelis, G.; Genitsaris, S.; Moustaka-Gouni, M.; Vayenas, D.V. Agroindustrial Wastewater Treatment with Simultaneous Biodiesel Production in Attached Growth Systems Using a Mixed Microbial Culture. Water 2018, 10, 1693. https://doi.org/10.3390/w10111693

AMA Style

Tsolcha ON, Tekerlekopoulou AG, Akratos CS, Aggelis G, Genitsaris S, Moustaka-Gouni M, Vayenas DV. Agroindustrial Wastewater Treatment with Simultaneous Biodiesel Production in Attached Growth Systems Using a Mixed Microbial Culture. Water. 2018; 10(11):1693. https://doi.org/10.3390/w10111693

Chicago/Turabian Style

Tsolcha, Olga N., Athanasia G. Tekerlekopoulou, Christos S. Akratos, George Aggelis, Savvas Genitsaris, Maria Moustaka-Gouni, and Dimitrios V. Vayenas. 2018. "Agroindustrial Wastewater Treatment with Simultaneous Biodiesel Production in Attached Growth Systems Using a Mixed Microbial Culture" Water 10, no. 11: 1693. https://doi.org/10.3390/w10111693

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop