Next Article in Journal
Classification of In Vitro Phage–Host Population Growth Dynamics
Next Article in Special Issue
The Odor Release Regularity of Livestock and Poultry Manure and the Screening of Deodorizing Strains
Previous Article in Journal
Avian Influenza Virus Status and Maternal Antibodies in Nestling White Ibis (Eudocimus albus)
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Exploration of Microalgal Species for Nutrient Removal from Anaerobically Digested Swine Wastewater and Potential Lipids Production

Hunan Provincial Engineering Research Center of Applied Microbial Resources Development for Livestock and Poultry, College of Bioscience and Biotechnology, Hunan Agricultural University, Changsha 410125, China
*
Authors to whom correspondence should be addressed.
Microorganisms 2021, 9(12), 2469; https://doi.org/10.3390/microorganisms9122469
Submission received: 31 October 2021 / Revised: 24 November 2021 / Accepted: 29 November 2021 / Published: 30 November 2021
(This article belongs to the Special Issue Biodegradation and Environmental Microbiomes)

Abstract

:
Bio-treatment of anaerobically treated swine wastewater (ADSW) mediated by microalgae has been deemed as a promising strategy. In the present study, six microalgal strains were used to conduct batch experiments in 0~100% ADSW in order to evaluate their potentials for nutrient removal and biodiesel production. Two strains, Chlorella vulgaris FACHB-8 and Chlorella sp. FACHB-31, were selected based on their better growth performances, higher tolerance to wastewater (up to 100%), and better nutrient removal abilities. The capacity of each strain to remove TN, TP, NH4+-N, as well as lipid production and biomass composition in 100% ADSW were further examined. After 15 days of culture, 87.68~89.85%, 92.61~93.68%, and 97.02~97.86% of the nitrogen, phosphorus, and ammonia nitrogen were removed by Chlorella sp. FACHB-31 and C. vulgaris FACHB-8. Their lipid content and lipid productivities were 29.63~33.33% and 18.91~23.10 mg L−1 d−1, respectively. Proteins were both the major biomass fraction followed by lipids and then carbohydrates. Their fatty acid profiles both mainly consisted of C-16:0, C-18:1, C-18:0, and C-18:2. Taken together, our results suggest that C. vulgaris FACHB-8 and Chlorella sp. FACHB-31 are potential candidates for biodiesel production by using ADSW as a good feedstock.

1. Introduction

Environmental pollution has aroused extensive attention in the international community for many decades. Population growth and vast industrialization have led to several environmental problems, such as water pollution [1]. Swine slurry discharged into the aquatic environment has been regarded as the main source of water pollution, notably in China [2]. Swine wastewater contains high concentrations of nutrients such as nitrogen and phosphorus, as well as various trace elements such as K, Mg, Ca, etc. [3]. Hence, the discharge of it causes great damages to the ecological environment, particularly water eutrophication and harmful algal blooms [4]. This has prompted efforts to ameliorate the water quality by developing eco-friendly and sustainable strategies for wastewater treatment.
In recent years, the cultivation of microalgae using wastewater as a source of nutrients has been proposed as a feasible strategy for wastewater treatment and the production of renewable biosources [5]. The microalgae-based combined approach is considered as tertiary wastewater treatment [6]. Microalgae are sunlight-driven organisms that are capable of converting atmospheric carbon dioxide to various valuable bioactive compounds including lipids, proteins, carotenoids, vitamins, and minerals [7,8]. It is well known that microalgae can be grown in photoautotrophic, mixotrophic, and heterotrophic culture conditions. They are able to grow fast without competing for arable land and are easy to be cultured in controlled conditions to attain high cell density [7,9]. Besides, they have greater photosynthetic efficiency that is 10~50 times higher than terrestrial plants [10]. Reports have shown that many microalgae are exceedingly rich in oil and their lipid contents ranged from 47.9~72% [11]. The lipid productivity of microalgae is 15~300 times that of conventional crops [12]. In this regard, microalgae have emerged as a potential source for biodiesel production. In recent years, they have been considered as a third-generation biofuel feedstock that may replace traditional fossil fuels [13]. The use of microalgal biomass for biodiesel production is eco-friendly and sustainable. Combining microalgae cultivation with wastewater treatment is a cost-effective approach for biodiesel production, offsetting the cost of pollution control [14,15].
Many studies have shown the great potential of microalgae in removing nutrients from various types of wastewater and in reaching higher productivities [5,16,17,18]. Microalgae are able to use wastewater effluent as a source of carbon, nitrogen, and phosphorus to sustain their growth effectively. The selection of efficient algal species that have great cell growth and good tolerance to wastewater is a vital criterion in maximizing the benefit from microalgae [19]. Several algal species, including Chlorella and Scenedesmus, have been generally considered as promising candidates for wastewater treatment [17,20,21,22]. S. obliquus and C. sorokiniana have been shown to have good growth performances and nutrient removal abilities in domestic wastewater, with a daily nitrogen removal of 4.4 and 6.6 mg N L−1 d−1, respectively [23]. S. obliquus was found to have an NH4+-N removal efficiency of 83% after 21 days of culture in diluted livestock wastewater [24]. More recent studies have shown that Scenedesmus sp. had a high removal of TN, TP, NH4+-N (>95%) in simulated wastewater, with a biomass production of 7.2 × 106 cells mL−1 and lipid productivity of 5.67 mg L−1 d−1 during 12-day cultivation [11]. In addition, a previous study has shown that C. vulgaris can be cultured in undiluted anaerobically treated swine wastewater in an open raceway pond, with a TN removal of 89.5% and TP removal of 85.3%, respectively [9]. Nonetheless, only a handful of microalgal strains can survive and grow well in real undiluted swine wastewater due to the high concentration of ammonia nitrogen and turbidity. Most of them were performed in diluted wastewater or simulated wastewater so as to reduce the toxicity of pollutants [25]. Thus, this presents a key bottleneck for culturing microalgae by using wastewater as a nutrient source. Accordingly, screening several microalgal species that can grow in swine wastewater with high nutrient levels is essential and imperative.
The aim of this work was intended to screen efficient algal strains for use in the treatment of anaerobically treated swine wastewater (ADSW) and as a potential source for biodiesel production. To our knowledge, biotreatment of ADSW by microalgae is rarely reported. As the anaerobic digestion process could consume organic nutrients and generate a high level of ammonia nitrogen, only a few microalgae can survive in ADSW. Hence, in our study, six different strains were first evaluated to grow in various dilutions of ADSW in terms of growth performance and nutrient removal ability. Afterward, two promising selected strains were studied in more detail by examining their removal efficiencies of total nitrogen (TN), total phosphorus (TP), and ammonia nitrogen (NH4+-N), and their capacities to produce lipids. The biochemical composition, including carbohydrate and protein content, and fatty acid profiles were also investigated. Our work demonstrates the great potential of using algal strain as a candidate for biodiesel production using ADSW as a feedstock.

2. Materials and Methods

2.1. Wastewater Collection, Pretreatment, and Analysis

Samples of anaerobically treated swine wastewater (ADSW) were collected from a local pig farm (Xinguang’ an Agriculture and Animal Husbandry Co., Ltd.) in Changsha, Hunan province, China. The original ADSW sample was centrifuged at 8000× g for 10 min and immediately filtered by 0.45 µm nylon membrane to remove insoluble solids. The wastewater was then autoclaved at 121 °C for 20 min. The pretreated liquid was stored at 4 °C until further use. For the physicochemical analysis of the wastewater, the pH value was measured using the glass electrode method. The total nitrogen (TN) level and total phosphorus (TP) level was determined by using UV spectrophotometry with alkaline potassium persulfate digestion and ammonium molybdate spectrophotometry, respectively. The NH4+-N level was determined by using NaCl reagent spectrophotometry. Chemical oxygen demand (COD) was measured using the dichromate method. Total organic carbon (TOC), inorganic carbon (IC), and heavy metal ions (As, Cd, Cr, Cu, Fe, Mn, Ni, Pb, Zn, Sb), were determined according to the Chinese National Standards. The compositions of original and autoclaved pretreated ADSW were shown in Table 1.

2.2. Strains, Culture Conditions and Microalgae Selection

Six microalgal strains, i.e., Chromochloris zofingiensis GF1, Chlorella protothecoide GF2, Chlorella pyrenoidosa GF3, Chlorella vulgaris FACHB-8, Chlorella sp. FACHB-31, Scenedesmus obliquus FACHB-417, were investigated in this experiment. The first three algae were kindly provided by Prof. Feng Chen, Shenzhen University. The other three algae were obtained from the Freshwater Algae Culture Collection at the Institute of Hydrobiology (FACHB). Algal strains were cultured and maintained in BG11 medium [26] consisting of (per liter) NaNO3 1.5 g, K2HPO4 0.04 g, MgSO4·7H2O 0.075 g, CaCl2·2H2O 0.036 g, Na2CO3 0.02 g, ferric ammonium citrate 6.00 mg, citric acid·H2O 6.00 mg, Na2EDTA·2H2O 1.00 mg, H3BO3 2.86 mg, MnCl2·4H2O 1.81 mg, ZnSO4·7H2O 0.22 mg, Na2MoO4·2H2O 0.39 mg, CuSO4·5H2O 0.079 mg, Co(NO3)2·6H2O 0.0494 mg. The pH of the medium was adjusted to 7.2 prior to autoclaving.
In all cases, 130 mL of the liquid medium in 250-mL Erlenmeyer flasks were inoculated at 10% (v/v). The cultures were incubated at 80 μmol photon m−2 s−1 under a photoperiod of 12:12-h light/dark cycle at 25 °C with orbital shaking at 150 rpm. For the experiment with respect to algal strain selection, the autoclaved pretreated ADSW was diluted with distilled water (v/v) to five various concentrations at a level of 20%, 40%, 60%, 80%, and 100% ADSW. The pH values of five dilutions of ADSW were all adjusted to 7.2 prior to autoclaving. All the initial cell densities were adjusted to approximately 2 × 107 cells per mL. The algal cells were cultured for 14 days. For the experiment concerning nutrient removal of two selected strains, algal strains were cultured in undiluted ADSW (100% ADSW) with an initial cell density of 2 × 107 cells per mL. All the culture conditions were the same as described above except the algal cells were cultured for 15 days.

2.3. Measurement of Cell Growth

The dry cell weight (g L−1) was determined according to the method as described by [8]. Cells were sedimented by centrifugation and washed twice with distilled water. Then the biomass was determined after drying in the oven at 80 °C overnight.
Biomass productivity (g L−1 d−1) during the culture period was calculated from the following Equation (1):
P = (X1X0)/(t1 − t0)
Specific growth rate µ (d−1) was calculated from the following Equation (2):
µ = (lnX1 − lnX0)/(t1 − t0)
where X1 and X0 (g L−1) were the biomass concentration on days t1 and t0, respectively.

2.4. Nutrient Removal Analysis

A volume of 5 mL culture suspension was collected from each flask for nutrient removal analysis. The samples were centrifuged at 9000× g for 10 min, and the supernatants were appropriately diluted and analyzed for TN, TP, COD, and NH4+-N as described in Section 2.1.

2.5. Determination of Biochemical Composition of Algal Cells

For pigment analysis, chlorophyll a in harvested algal cells was extracted with 1 mL of methanol for 5 h 4 °C and then centrifuged, the absorbance of the supernatant was measured at 750 nm, 665 nm, 652 nm with an ultraviolet-near-infrared spectrophotometer UV-3600 Plus (Shimadzu, Kyoto, Japan). The pigment concentrations were calculated according to the following equations [27].
[Chlorophyll a] mg/L = 16.5169 × A665 − 8.0962 × A652
The absorbance at 652 nm and 665 nm is corrected by subtracting the absorbance at 750 nm.
For carbohydrate content, 10 mg of lyophilized algal biomass was extracted with distilled water in a boiling water bath for 30 min (3 times). The extract was filtered into a 25-mL volumetric flask and diluted to volume with distilled water. The total carbohydrate was measured using the phenol-sulfuric method [28]. For protein content, briefly, 200 μL of 1 M NaOH was added to 10 mg of lyophilized algal biomass and hydrolyzed for 10 min at 80 °C. Then 1.8 mL of distilled water was added to the hydrolysate and centrifuged at 12,000× g for 30 min. The supernatant was collected into a new centrifuge tube. Each biomass sample was extracted twice and the supernatants were collected together. Finally, the protein content was determined using the Protein analysis kit (Bradford P0006, Beyotime, Shanghai, China).

2.6. Lipid and Fatty Acid Analysis

Total lipids were extracted from lyophilized algal biomass by using a solvent-based method deriving from Kumar et al. [15] and determined gravimetrically. Briefly, 20 mg of lyophilized algal powder was weighed into a preweighted 10 mL centrifuge tube, and 3 mL of methanol-chloroform (2:1, v/v) mixture was added. The tube was fully mixed for 2 min and then centrifuged at 10,000× g for 5 min. The chloroform layer was collected, and this extract process was repeated three times. The collected chloroform layer was evaporated under nitrogen gas and dried in a dry oven at 80 °C until constant weight and followed by gravimetrical measurement of the residues.
Fatty acids were analyzed by using a modification to the method as described by Wang et al. [9]. Twenty milligrams of lyophilized algal biomass were suspended with solvent mixtures (1 mL of toluene, 2 mL of 1% methanol sulfate (v/v), and 0.8 mg of heptadecanoic acid at 0.8 mL of hexane internal standard) overnight to form fatty acid methyl esters (hunger) at 50 °C. Then hexane was extracted three times in a reciprocating vibrating screen. Fatty acid methyl esters (FAMEs) in the extracted liquid were quantified by a QP 2010 SE gas chromatography-mass spectrometer (Shimadzu, Japan) using a Stabilwax-DA capillary column (30 m × 0.25 mm × 0.25 μm) (Shimadzu, Japan). Injection temperature was 250 °C, and the initial column temperature was set at 150 °C and then the temperature was increased to 200 °C at 10 °C/min and then to 220 °C at 6 °C/min, followed by a hold at 220 °C at 10 min. FAMEs were identified by comparing their fragmentation patterns with those in the NIST mass spectral library.

2.7. Statistical Analysis

In this study, SPSS and GraphPad software were used for data processing. The measured value was expressed as the mean ± standard deviation (SD). Analysis of variance (ANOVA) and t-tests was implemented via SPSS software (version 19.0) wherever applicable. A confidence level of 95% was selected in order to strictly determine the significance. There was a statistically significant difference when p < 0.05.

3. Results and Discussion

3.1. Selection of Microalgae Based on Growth Performance

Microalgae can grow rapidly under favorable culture conditions with an adequate supply of nutrients. Swine wastewater consists of vital macronutrients such as nitrogen and phosphorous for algal growth and thus can be used as a promising feedstock for cultivating microalgae [5]. In most cases, wastewater samples were autoclaved in order to reduce the possible impact of the microbial community in wastewater before being prepared as a culture medium. Numerous studies have utilized various sources of autoclaved wastewater to cultivate microalgal strains on a laboratory scale [9]. In this regard, the autoclaved ADSW was adopted as a culture medium in this work. The physicochemical properties of non-autoclaved and autoclaved ADSW are listed in Table 1. It was obviously shown that the sterilization process attenuated the TN, TP, NH4+-N, and COD levels of wastewater compared with the non-autoclaved ones. The concentrations of TN, TP, NH4+-N, and COD were decreased to 258.5, 65.75, 183.5, and 900.01 mg L−1, respectively (Table 1). This is in accordance with results observed in other autoclaved swine wastewaters [9,29]. Besides, the concentrations of toxic metals in ADSW were very low (Table 1), suggesting that the wastewater used was not likely to be toxic to algal cells.
In addition to being subjected to the autoclaved process, wastewater is usually diluted before being fed to microalgal cells. This is owed to a very high level of nutrients (e.g., >100 mg/L NH4+-N concentration) in wastewater that may inhibit algal growth [30,31]. This would lead to a low nutrient removal efficiency and biomass productivity. Hence in our work, all algal strains were firstly inoculated in varying dilutions of ADSW (20%, 40%, 60%, 80%, 100% ADSW) in order to test whether they could grow in high levels of ADSW and evaluate the potential of practical use in wastewater treatment.
Green algae are usually highly tolerant to different kinds of contaminants, including organic compounds, ammonia, and heavy metals [11]. Therefore, in most cases they can be cultured in wastewater, utilizing different contaminants as nutrient sources and thereby purifying the wastewater [14,32]. In addition, several green algal species, such as Chlorella and Scenedesmus, are able to be cultured to accumulate significant amounts of value-added lipids, showing great potential for biodiesel production [33]. As a result, in our study, we selected six commonly used algal species to test the potential of practical use in wastewater treatment and simultaneous lipid production. All six microalgal strains are generally regarded as green algae and belong to Chlorophyta. Among these selected strains, S. obliquus FACHB-417, C. vulgaris FACHB-8, and Chlorella sp. FACHB-31 has been demonstrated their aptitude to be employed as biomass producers from wastewater sources [29,34]. This suggests a possible potential use in our study for ADSW treatment. The other three selected strains, C. zofingiensis GF1, C. protothecoide GF2, C. pyrenoidosa GF3, to our best knowledge, have not yet been reported in wastewater treatment and therefore examined in this study.
The growth curves of six strains at five dilutions of ADSW and BG11 medium within 14 days are represented in Figure 1. The biomass production, biomass productivity, maximum biomass productivity, specific growth rate, and maximum specific growth rate for all strains in all samples of ADSW and BG11 medium are compared in Table 2. BG11 medium enriches various kinds of algal strains and was used as a control for culturing all tested strains in this study. As shown in Figure 1, all strains exhibited a lag phase during the first four days in all dilutions of ADSW and then began to enter the exponential phase. After 14 days of incubation in ADSW, S. obliquus FACHB-417 exhibited the highest biomass production in 20% ADSW (1.417 g L−1), followed by C. vulgaris FACHB-8 in 60% ADSW (1.140 g L−1), Chlorella sp. FACHB-31 in 60% ADSW (1.118 g L−1), C. pyrenoidosa GF3 in 40% ADSW (0.885 g L−1), C. protothecoides in 20% ADSW (0.735 g L−1) and C. zofingiensis GF1 in 20% ADSW (0.473 g L−1) (Table 2). As expected, all strains grow faster in the BG11 medium than in all five dilutions of ADSW based on a comparison of specific growth rates (Table 2). This lies in the fact that the nutrients in different dilutions of ADSW are lower than that in the BG11 medium. The dark color of undiluted ADSW may also have a certain impact on cell growth. Besides, this also indicated that the adaptability of our selected strains may not be good enough to easily adapt to the special ecological environment. Reports have revealed that indigenous microalgae isolated from water bodies or special natural environments could easily adjust their physiochemical traits to adapt better under specific environmental conditions [20,29]. As all of our strains were not naturally screened from swine slurry, this might as well probably lead to a lower growth rate in ADSW than in the BG11 medium.
As presented in Figure 1, almost all strains could grow well in lower dilutions (20% and 40% ADSW) except GF1. Notably, GF1 showed a much poor growth performance in all dilutions of ADSW as compared to the other five strains. The biomass production and productivity of GF1 in 20% ADSW were the highest, correspondingly to 0.473 g L−1 and 26.905 mg L−1 d−1, much lower than the highest data observed in the other strains (Table 2). Besides, GF1 showed a very low biomass production in undiluted raw ADSW (100% ADSW). These suggest that GF1 has poor environmental adaptability to ADSW and has little potential for practical use in wastewater treatment.
For each strain of FACHB-417, GF1, and GF2, compared with the serial dilutions, the biomass productivity and specific growth rate almost decreased with the increase of the ADSW concentration after 14 days of culture (Table 2). In other words, almost all of these three strains showed growth inhibition in higher concentrations of ADSW (>60%). For example, FACHB-417 grew fast in lower concentrations of ADSW (≤60%) and yielded the highest biomass of 1.417 g L−1 in 20% ADSW. However, it did not have good tolerance and grew slowly in higher concentrations of ADSW (>60%), especially with the lowest biomass of 0.412 g L−1 in 100% ADSW. Similar results were also observed in the cultivation of Coelastrella sp. and C. vulgaris using swine wastewater as a culture medium [20,35]. The possible reason for this lies in that the relatively high levels of COD and NH4+-N in high concentrations of ADSW may inhibit the growth of algal cells. In our study, our purpose was to select a promising strain that has great potential for the treatment of undiluted raw ADSW and for biodiesel production. Consequently, the strain selected in our work must have good tolerance to high concentrations of ADSW and can thereby grow well and remove nutrients from raw ADSW. As readily seen in Table 2, FACHB-417, GF1, and GF2 grew poorly in undiluted raw ADSW (100% ADSW) and could only produce very little biomass. This illustrates that these three strains cannot adapt well to high concentrations of ADSW and may not be suitable for wastewater treatment.
It could be observed from Table 2 that, GF3, FACHB-8, and FACHB-31 could all grow well when cultured in all tested dilutions of ADSW (Figure 1 and Table 2), showing good adaptability to ADSW. Almost the higher the ADSW concentration was, the better the strain performed. After 14 days of incubation in 80% and 100% ADSW, GF3, FACHB-8, and FACHB-31 showed biomass productivity of 0.053~0.054, 0.069~0.069, and 0.064~0.071 g L−1 d−1, respectively, and biomass production of 0.837~0.852, 1.015~1.023, 0.943~1.050 g L−1, respectively. Therefore, the growth performances of FACHB-8 and FACHB-31 were better than that of GF3 in higher concentrations of ADSW. The highest specific growth rate was obtained in 100% ADSW for FACHB-8 (0.249 d−1) and in 80% ADSW for FACHB-31 (0.192 d−1). Besides, both FACHB-8 and FACHB-31 had a much higher maximum biomass productivity and maximum specific growth rate in higher concentrations of ADSW (≥60%) than in lower concentrations of ADSW (<60%), demonstrating a good tolerance to ADSW. These results were in accordance with previous reports that both FACHB-8 and FACHB-31 have good potentials for wastewater treatment [29,36].
Chlorophyll a is the principal pigment in aquatic microalgae and is generally regarded as an estimator of phytoplankton biomass in numerous studies [36]. In our study, chlorophyll a concentration was also measured to add the comparability of various algal species. As expected, the chlorophyll a concentration of FACHB-417, GF1, and GF2 almost decreased with the increase of the ADSW concentration after 14 days of culture (Figure 2). Compared to the other strains, both FACHB-8 and FACHB-31 had a much higher chlorophyll a concentration in high concentrations of ADSW (Figure 2). These results were in accordance with the above-mentioned growth data, indicative of the better growth performances of FACHB-8 and FACHB-31 in high concentrations of ADSW among six strains. Taken together, considering all factors listed in Table 2, FACHB-8 and FACHB-31 were the best candidates for growing in undiluted raw ADSW.

3.2. Selection of Microalgae Based on Nutrient Removal Ability

After 14 days of incubation, the removal efficiencies of TN, TP, and NH4+-N by six strains cultured in five dilutions of ADSW were studied and the results were listed in Table 3. For FACHB-417, GF1, and GF2, the removal of TN was higher in low dilutions (20~40% ADSW) than in high dilutions (60~100% ADSW). The highest removal of TN for FACHB-417, GF1 and GF2 was found in 40% ADSW (82.89%), 20% ADSW (74.87%) and 40% ADSW (83.51%), respectively. While for GF3, FACHB-8, and FACHB-31, the TN removal all enhanced with an increase in ADSW concentration from 0% to 100%. In undiluted ADSW (100% ADSW), FACHB-8 and FACHB-31 showed the highest TN removal of 84.21% and 84.24%, respectively, followed by 79.64% for GF3. These results indicate that both FACHB-8 and FACHB-31 have better removal ability of TN (~84%) compared to the other strains. Microalgae usually have good adaptability and therefore can be cultured in wastewater for biomass production by using the nutrients present in wastewater [37]. They require large amounts of nitrogen and phosphorus for cell growth. Nitrogen plays a significant role in facilitating cell growth. Eukaryotic microalgae are able to assimilate fixed nitrogen, such as NH4+-N, NO3-N and etc., [38]. They can utilize nitrogen to build proteins, nucleic acids, among other molecules.
Concerning phosphorus, it also plays an important role in microalgae growth and metabolism as a component of nucleic acids, adenosine triphosphate, phospholipids and etc., [38]. Table 3 showed the removal of TP in various dilutions of ADSW. When the cultivations came to an end, nearly 90% of TP was removed for all strains in all trials except GF1. The higher TP removal obtained in our study is similar to previous studies [20]. While GF1 showed the lowest TP removal of less than 70% in all dilutions of ADSW, which was proportional to its growth performance as mentioned above (Table 2). In addition, the TP removal of all strains was almost greater in low dilutions than in high dilutions except GF1 (Table 3). The highest TP removal was observed for GF2 in 40% ADSW (97.57%) and was followed by FACHB-417 in 20% ADSW (97.19%), FACHB-31 in 40% ADSW (96.35%), FACHB-8 in 40% ADSW (95.39%), GF3 in 40% ADSW (94.94%), and GF1 in 100% ADSW (69.94%). Comparatively, phosphorus could be reduced more efficiently than nitrogen for almost all strains. Noteworthy, the removal of TP was not analogous to the above-mentioned growth performance. A similar finding was also reported by Aravantinou et al. [12].
NH4+-N was the main form of available nitrogen found in wastewater and was the preferred nitrogen source for algal growth [39]. The removal of NH4+-N during the period of 14 days is also shown in Table 3. All six strains showed a higher NH4+-N removal in low dilutions (20~40% ADSW) than in high dilutions (60~100% ADSW). In 100% ADSW, the NH4+-N removal of FACHB-417 was only 67.44%. Considering the poor growth performance (Table 2), as well as low removal of TN and TP in 100% ADSW as mentioned above (Table 3), it can be inferred that this strain cannot adapt well in raw ADSW and may not be suitable for wastewater treatment. It can be observed that even the initial NH4+-N concentration reaches 183.5 mg L−1 (Table 1), the NH4+-N removal of FACHB-8 and FACHB-31 in undiluted ADSW (100% ADSW) was relatively high (>90%) (Table 3). This indicated that both strains have good potentials for NH4+-N removal. The higher removal of NH4+-N in our work is similar to previous reports [11].
Overall, in our study, both FACHB-8 and FACHB-31 showed a satisfied removal ability of TN (~84%), TP (>90%), and NH4+-N (>90%) in undiluted raw ADSW. Considering their good performances in the same condition as mentioned above, FACHB-8 and FACHB-31 were therefore chosen among six strains for further study. Moreover, it can be speculated that the removal abilities of nitrogen and phosphorus of these two strains were analogous to their algal biomass, indicating that the abundant nutrients in wastewater sustain algal growth. This is in accordance with the results observed in Chlorella and Scenedesmus [40].

3.3. Nutrient Removal Ability of Two Selected Strains in Undiluted ADSW

In order to examine the nutrient removal abilities of FACHB-8 and FACHB-31 in more detail, changes in the removal of TN, TP, and NH4+-N with time by these two strains in undiluted ADSW were studied. As shown in Figure 3, both strains showed a very similar trend of nutrient removal. The dynamic of TN, TP, and NH4+-N changes was that they were prone to be removed quickly in the first six days of culture, and then the rates of removal started to slow down. The TN removal of both strains was over 50% on the third day and reached over 80% on the ninth day (Figure 3a). At the end of cultivation, the TN removal of FACHB-8 and FACHB-31 was 89.85% and 87.68%, respectively. The TN concentration in ADSW by both strains after 15 days of culture was lower than 33 mg L−1.
While for phosphorus uptake, both strains showed a surprising TP removal of nearly 80% on the third day and approximately 90% on the sixth day (Figure 3b). This result is similar to the observations reported previously [9,40,41]. The possible reason for the dramatic removal of phosphorus in our study is not only the phosphorus assimilation by algal cells through metabolic pathways but also the external environmental conditions. Previous reports have shown that phosphorus precipitation may occur for pH values above 8.0 and high oxygen concentrations [38]. Hence, the increase of pH values in the early stage of culture (data not shown) might probably contribute to phosphorus precipitation and phosphate adsorption on microalgal cells. Thus, this further led to a dramatic TP removal in the first few days of our study. In the last nine days, the removal efficiency tended to be flat. Finally, FACHB-8 and FACHB-31 showed a TP removal of 93.68% and 92.61%, respectively, with the final TP concentrations of 5.68 and 6.50 mg L−1, respectively. There have been many studies reporting that the removal efficiencies of TN and TP by microalgae in wastewater correspond to 60~99% and 54~95%, respectively [38]. Hence, the removal efficiencies of TN and TP by both FACHB-8 and FACHB-31 obtained in our study were satisfied. As shown in Figure 3c, the NH4+-N removal of both strains was over 70% on the sixth day and even over 90% on the ninth day. After 15 days of culture, the NH4+-N concentration in ADSW by FACHB 8 and FACHB-31 was 3.91 and 5.36 mg L−1, with an NH4+-N removal of 97.86% and 97.02%, respectively.
Figure 3 shows that most phosphorous was consumed (>90%) before nitrogen and NH4+-N were exhausted after six days of cultivation. This suggests that phosphorus was the limiting factor in our study. This finding is similar to the results obtained in previous studies [42]. Phosphorus limitation may probably make microalgae grow slowly and thus have a negative impact on the removal of nitrogen. This may explain the reason why the total nitrogen in ADSW could not be removed as efficiently as TP and NH4+-N in our study. From the data obtained from Figure 3, it can be calculated that the amount of ammonium removal (nearly 180 mg L−1) accounted for the majority of the TN removal (nearly 240 mg L−1) for both FACHB-8 and FACHB-31. This implies that ammonium was the main nitrogen source consumed by both strains, in line with those ever reported in the treatment of swine wastewater and synthetic sewage by Chlorella and Scenedesmus [9,20].
In general, both FACHB-8 and FACHB-31 exhibited a higher nutrient removal capacity in undiluted ADSW with a TN removal of 87.68~89.85%, TP removal of 92.61~93.68%, and NH4+-N removal of 97.02~97.86%, respectively. This indicates that both Chlorella strains are promising candidates for swine wastewater treatment. Comparatively, FACHB-8 had a greater nutrient removal ability than FACHB-31 did. In our study, these two strains were chosen for further study of their potential for simultaneous lipid production.

3.4. Lipid Production, Biomass Composition, and FAME Composition

Microalgae can grow in wastewater using different pollutants as nutrient sources and produce significant amounts of value-added bioactive compounds such as lipids, proteins, vitamins, and etc. This is an eco-friendly and cost-effective strategy, offsetting the cost of wastewater treatment [32,38]. Reports have shown that many Chlorella species are capable of accumulating high amounts of lipids in controlled conditions [33]. Therefore, the lipid production and lipid productivity of both Chlorella strains, FACHB-8 and FACHB-31, were investigated to examine whether they could remove nutrients with the simultaneous efficient production of lipids in undiluted ADSW. After 15 days of culture in raw ADSW, the total lipid content of FACHB-8 and FACHB-31 was 33.33% DCW, and 29.63% DCW, respectively. The corresponding lipid productivity of FACHB-8 and FACHB-31 was 18.91 and 23.10 mg L d−1, respectively. The lipid content obtained in our study was higher than that in previous reports, in which the lipid content of 14~26% was observed in Chlorella species using different wastewater sources [8,23,43]. The possible reason may result from that the phosphorus limitation led to high lipid content in microalgae [39], which was also observed in our study as mentioned above.
The biomass composition of FACHB-8 and FACHB-31 after 15 days of cultivation in undiluted ADSW is presented in Figure 4. Except for lipids as mentioned above (29.63~33.33%), higher amounts of proteins were also accumulated in FACHB-8 (38.74% DCW) and FACHB-31 (35.64% DCW), similar to those achieved in domestic sewage [44]. However, low carbohydrate contents were obtained in these two strains (8.47% DCW for FACHB-8, and 7.94% DCW for FACHB-31). Comparatively, FACHB-8 exhibited a relatively better performance in the production of lipid, protein, and carbohydrate than FACHB-31 did. For both strains, proteins were the major biomass fraction followed by lipids and then carbohydrates.
The fatty acid profile determines the quality of microalgal biodiesel. The lipids extracted from FACHB-8 and FACHB-31 were esterified and the fatty acid composition of each strain was measured using gas chromatography. Their fatty acid profiles are detailed in Table 4. The main fatty acid components of the two strains were both fatty acids with C16~C18, accounting for approximately 85% of total fatty acids. This finding was comparable to previous results (80~90%) [39,40]. The dominant components in the two strains were palmitic acid (C16:0), oleic acid (C18:1), stearic acid (C18:0), and linoleic acid (C18:2), which was 27.46~27.95%, 20.25~20.57%, 17.29~17.59%, and 16.61~17.27% of total fatty acids, respectively. This is in accordance with the result observed in Botryococcus braunii using domestic sewage [44]. FACHB-8 and FACHB-31 had roughly equal quantities of saturated fatty acids (SFA) and unsaturated fatty acids (UFA), with 42.59~43.26% and 56.74~57.41%, respectively. Reports have shown that microalgae with approximately equal amounts of SFA and UFA are considered to have better performance in biodiesel production due to their oxidative stability and low-temperature characteristics [42]. Therefore, the microalgal lipids produced by FACHB-8 and FACHB-31 in our study are considered suitable for biodiesel production. It is well known that culture conditions (e.g., light intensity, temperature, air flow rate) and fermentation process may have a significant impact on biomass production, lipid production, and fatty acid composition. To promote lipid productivity and optimize the fatty acid profile, future research may lie in the exploration of the effects of culture conditions on cell growth, nutrient uptake, and lipid productivity of FACHB-8 and FACHB-31 using ADSW as a nutrient source.

4. Conclusions

Six microalgal strains were used to cultivate in 0~100% ADSW to evaluate their potentials for biomass production and nutrient removal. Both C. vulgaris FACHB-8 and Chlorella sp. FACHB-31 adapted quickly in all dilutions of ADSW and showed a much higher growth rate and better nutrient removal ability than the other strains did. After 15 days of cultivation in undiluted ADSW, both strains showed a TN removal of 87.68~89.85%, TP removal of 92.61~93.68%, and NH4+-N removal of 97.02~97.86%, respectively. The lipid content (29.63~33.33%), lipid productivity (18.91~23.10 mg L−1 d−1), and fatty acid methyl ester profiles of these two strains reinforce their potential use for biodiesel production. Overall, two Chlorella strains, FACHB-8 and FACHB-31 could be used as promising candidates for biodiesel production by using ADSW as a good feedstock.

Author Contributions

Conceptualization, B.Y. and Z.C.; data curation, Z.C., Y.X., M.Y. and G.L.; writing—original draft preparation, Z.C. and T.L.; writing—review and editing, B.Y.; funding acquisition, B.Y. and J.F. All authors have read and agreed to the published version of the manuscript.

Funding

This research was supported by National Natural Science Foundation of China (No. 31672457, 31800076, 41807135), Hunan Provincial Science and Technology Department (2018WK4025, 2020NK2004, 2020ZL2004) and Double first-class construction project of Hunan Agricultural University (SYL201802003, YB2018007, CX20190497), Natural Science Foundation of Hunan province, China (No. 2019JJ50245), and Natural Science Foundation of Hunan Agricultural University (No. 18QN17).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data of this study are available from the correspondence author upon reasonable request.

Acknowledgments

We would like to thank Feng Chen and Bin Liu at Shenzhen University for kindly providing the algal strains of Chromochloris zofingiensis GF1, Chlorella protothecoide GF2, and Chlorella pyrenoidosa GF3 for this work.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Wang, J.; Qian, W.; Du, J.; Liu, Y. Effective allocation of resources in water pollution treatment alternatives: A multi-stage gray group decision-making method based on hesitant fuzzy linguistic term sets. Environ. Sci. Pollut. Res. Int. 2020, 27, 3173–3186. [Google Scholar] [CrossRef] [PubMed]
  2. Yang, F.; Zhang, K.; Zhi, S.; Li, J.; Tian, X.; Gu, Y.; Zhou, J. High prevalence and dissemination of β-lactamase genes in swine farms in northern China. Sci. Total Environ. 2019, 651, 2507–2513. [Google Scholar] [CrossRef]
  3. Dan, N.H.; Rene, E.R.; Le Luu, T. Removal of Nutrients From Anaerobically Digested Swine Wastewater Using an Intermittent Cycle Extended Aeration System. Front. Microbiol. 2020, 11, 576438. [Google Scholar] [CrossRef]
  4. Griffith, A.W.; Gobler, C.J. Harmful algal blooms: A climate change co-stressor in marine and freshwater ecosystems. Harmful Algae 2020, 91, 101590. [Google Scholar] [CrossRef] [PubMed]
  5. Al-Jabri, H.; Das, P.; Khan, S.; Thaher, M.; AbdulQuadir, M. Treatment of Wastewaters by Microalgae and the Potential Applications of the Produced Biomass—A Review. Water 2021, 13, 27. [Google Scholar] [CrossRef]
  6. Nagarajan, D.; Kusmayadi, A.; Yen, H.W.; Dong, C.D.; Lee, D.J.; Chang, J.S. Current advances in biological swine wastewater treatment using microalgae-based processes. Bioresour. Technol. 2019, 289, 121718. [Google Scholar] [CrossRef]
  7. Hom-Diaz, A.; Jaén-Gil, A.; Bello-Laserna, I.; Rodríguez-Mozaz, S.; Vicent, T.; Barceló, D.; Blánquez, P. Performance of a microalgal photobioreactor treating toilet wastewater: Pharmaceutically active compound removal and biomass harvesting. Sci. Total Environ. 2017, 592, 1–11. [Google Scholar] [CrossRef] [Green Version]
  8. Tale, M.; Ghosh, S.; Kapadnis, B.; Kale, S. Isolation and characterization of microalgae for biodiesel production from Nisargruna biogas plant effluent. Bioresour. Technol. 2014, 169, 328–335. [Google Scholar] [CrossRef] [PubMed]
  9. Wang, M.; Yang, Y.; Chen, Z.; Chen, Y.; Wen, Y.; Chen, B. Removal of nutrients from undiluted anaerobically treated piggery wastewater by improved microalgae. Bioresour. Technol. 2016, 222, 130–138. [Google Scholar] [CrossRef]
  10. Zhou, W.; Wang, J.; Chen, P.; Ji, C.; Kang, Q.; Lu, B.; Li, K.; Liu, J.; Ruan, R. Bio-mitigation of carbon dioxide using microalgal systems: Advances and perspectives. Renew. Sustain. Energy Rev. 2017, 76, 1163–1175. [Google Scholar] [CrossRef]
  11. Ye, S.; Gao, L.; Zhao, J.; An, M.; Wu, H.; Li, M. Simultaneous wastewater treatment and lipid production by Scenedesmus sp. HXY2. Bioresour. Technol. 2020, 302, 122903. [Google Scholar] [CrossRef] [PubMed]
  12. Aravantinou, A.F.; Theodorakopoulos, M.A.; Manariotis, I.D. Selection of microalgae for wastewater treatment and potential lipids production. Bioresour. Technol. 2013, 147, 130–134. [Google Scholar] [CrossRef] [PubMed]
  13. Delgado, R.T.; Guarieiro, M.D.; Antunes, P.W.; Cassini, S.T.; Terreros, H.M.; Fernandes, V.D. Effect of nitrogen limitation on growth, biochemical composition, and cell ultrastructure of the microalga Picocystis salinarum. J. Appl. Phycol. 2021, 33, 2083–2092. [Google Scholar] [CrossRef]
  14. Nagi, M.; He, M.; Li, D.; Gebreluel, T.; Cheng, B.; Wang, C. Utilization of tannery wastewater for biofuel production: New insights on microalgae growth and biomass production. Sci. Rep. 2020, 10, 1530. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Kumar, M.; Sun, Y.; Rathour, R.; Pandey, A.; Thakur, I.S.; Tsang, D.C.W. Algae as potential feedstock for the production of biofuels and value-added products: Opportunities and challenges. Sci. Total Environ. 2020, 716, 137116. [Google Scholar] [CrossRef]
  16. Yadav, G.; Dash, S.K.; Sen, R. A biorefinery for valorization of industrial waste-water and flue gas by microalgae for waste mitigation, carbon-dioxide sequestration and algal biomass production. Sci. Total Environ. 2019, 688, 129–135. [Google Scholar] [CrossRef]
  17. Ziganshina, E.E.; Bulynina, S.S.; Ziganshin, A.M. Assessment of Chlorella sorokiniana Growth in Anaerobic Digester Effluent. Plants 2021, 10, 478. [Google Scholar] [CrossRef]
  18. Li, K.; Liu, Q.; Fang, F.; Luo, R.; Lu, Q.; Zhou, W.; Huo, S.; Cheng, P.; Liu, J.; Addy, M.; et al. Microalgae-based wastewater treatment for nutrients recovery: A review. Bioresour. Technol. 2019, 291, 121934. [Google Scholar] [CrossRef]
  19. Moondra, N.; Jariwala, N.D.; Christian, R.A. Sustainable treatment of domestic wastewater through microalgae. Int. J. Phytoremediation 2020, 22, 1480–1486. [Google Scholar] [CrossRef]
  20. Luo, L.; He, H.; Yang, C.; Wen, S.; Zeng, G.; Wu, M.; Zhou, Z.; Lou, W. Nutrient removal and lipid production by Coelastrella sp. in anaerobically and aerobically treated swine wastewater. Bioresour. Technol. 2016, 216, 135–141. [Google Scholar] [CrossRef]
  21. Arbib, Z.; Ruiz, J.; Álvarez-Díaz, P.; Garrido-Pérez, C.; Perales, J.A. Capability of different microalgae species for phytoremediation processes: Wastewater tertiary treatment, CO2 bio-fixation and low cost biofuels production. Water Res. 2014, 49, 465–474. [Google Scholar] [CrossRef] [PubMed]
  22. Gong, W.; Fan, Y.; Xie, B.; Tang, X.; Guo, T.; Luo, L.; Liang, H. Immobilizing Microcystis aeruginosa and powdered activated carbon for the anaerobic digestate effluent treatment. Chemosphere 2020, 244, 125420. [Google Scholar] [CrossRef] [PubMed]
  23. Alvarez-Diaz, P.D.; Ruiz, J.; Arbib, Z.; Barragan, J.; Garrido-Perez, M.C.; Perales, J.A. Freshwater microalgae selection for simultaneous wastewater nutrient removal and lipid production. Algal Res. Biomass Biofuels Bioprod. 2017, 24, 477–485. [Google Scholar] [CrossRef]
  24. Franchino, M.; Comino, E.; Bona, F.; Riggio, V.A. Growth of three microalgae strains and nutrient removal from an agro-zootechnical digestate. Chemosphere 2013, 92, 738–744. [Google Scholar] [CrossRef]
  25. Park, J.; Jin, H.F.; Lim, B.R.; Park, K.Y.; Lee, K. Ammonia removal from anaerobic digestion effluent of livestock waste using green alga Scenedesmus sp. Bioresour. Technol. 2010, 101, 8649–8657. [Google Scholar] [CrossRef] [PubMed]
  26. Stanier, R.Y.; Kunisawa, R.; Mandel, M.; Cohen-Bazire, G. Purification and properties of unicellular blue-green algae (order Chroococcales). Bacteriol. Rev. 1971, 35, 171–205. [Google Scholar] [CrossRef]
  27. Ma, X.; Yao, L.; Yang, B.; Lee, Y.K.; Chen, F.; Liu, J. RNAi-mediated silencing of a pyruvate dehydrogenase kinase enhances triacylglycerol biosynthesis in the oleaginous marine alga Nannochloropsis Salina. Sci. Rep. 2017, 7, 11485. [Google Scholar] [CrossRef] [PubMed]
  28. Masuko, T.; Minami, A.; Iwasaki, N.; Majima, T.; Nishimura, S.; Lee, Y.C. Carbohydrate analysis by a phenol-sulfuric acid method in microplate format. Anal. Biochem. 2005, 339, 69–72. [Google Scholar] [CrossRef]
  29. Wen, Y.; He, Y.; Ji, X.; Li, S.; Chen, L.; Zhou, Y.; Wang, M.; Chen, B. Isolation of an indigenous Chlorella vulgaris from swine wastewater and characterization of its nutrient removal ability in undiluted sewage. Bioresour. Technol. 2017, 243, 247–253. [Google Scholar] [CrossRef]
  30. Amit; Chandra, R.; Ghosh, U.K.; Nayak, J.K. Phycoremediation potential of marine microalga Tetraselmis indica on secondary treated domestic sewage for nutrient removal and biodiesel production. Environ. Sci. Pollut. Res. Int. 2017, 24, 20868–20875. [Google Scholar] [CrossRef]
  31. Xinjie, W.; Xin, N.; Qilu, C.; Ligen, X.; Yuhua, Z.; Qifa, Z. Vetiver and Dictyosphaerium sp. co-culture for the removal of nutrients and ecological inactivation of pathogens in swine wastewater. J. Adv. Res. 2019, 20, 71–78. [Google Scholar] [CrossRef] [PubMed]
  32. Wang, Y.; Ho, S.H.; Cheng, C.L.; Guo, W.Q.; Nagarajan, D.; Ren, N.Q.; Lee, D.J.; Chang, J.S. Perspectives on the feasibility of using microalgae for industrial wastewater treatment. Bioresour. Technol. 2016, 222, 485–497. [Google Scholar] [CrossRef]
  33. Chisti, Y. Biodiesel from microalgae. Biotechnol. Adv. 2007, 25, 294–306. [Google Scholar] [CrossRef] [PubMed]
  34. Chaudhary, R.; Dikshit, A.K.; Tong, Y.W. Carbon-dioxide biofixation and phycoremediation of municipal wastewater using Chlorella vulgaris and Scenedesmus obliquus. Environ. Sci. Pollut. Res. Int. 2018, 25, 20399–20406. [Google Scholar] [CrossRef] [PubMed]
  35. Ji, M.K.; Kim, H.C.; Sapireddy, V.R.; Yun, H.S.; Abou-Shanab, R.A.; Choi, J.; Lee, W.; Timmes, T.C.; Inamuddin; Jeon, B.H. Simultaneous nutrient removal and lipid production from pretreated piggery wastewater by Chlorella vulgaris YSW-04. Appl. Microbiol. Biotechnol. 2013, 97, 2701–2710. [Google Scholar] [CrossRef]
  36. Zhou, G.J.; Ying, G.G.; Liu, S.; Zhou, L.J.; Chen, Z.F.; Peng, F.Q. Simultaneous removal of inorganic and organic compounds in wastewater by freshwater green microalgae. Environ. Sci. Process. Impacts 2014, 16, 2018–2027. [Google Scholar] [CrossRef] [PubMed]
  37. Guo, J.X.; Zeng, Y.; Zhu, K.; Tan, X. Vehicle mix evaluation in Beijing’s passenger-car sector: From air pollution control perspective. Sci. Total Environ. 2021, 785, 147264. [Google Scholar] [CrossRef] [PubMed]
  38. Goncalves, A.L.; Pires, J.C.M.; Simoes, M. A review on the use of microalgal consortia for wastewater treatment. Algal Res. Biomass Biofuels Bioprod. 2017, 24, 403–415. [Google Scholar] [CrossRef]
  39. Sun, Z.L.; Sun, L.Q.; Chen, G.Z. Microalgal Cultivation and Nutrient Removal from Digested Piggery Wastewater in a Thin-film Flat Plate Photobioreactor. Appl. Biochem. Biotechnol. 2019, 187, 1488–1501. [Google Scholar] [CrossRef]
  40. Han, L.; Pei, H.; Hu, W.; Han, F.; Song, M.; Zhang, S. Nutrient removal and lipid accumulation properties of newly isolated microalgal strains. Bioresour. Technol. 2014, 165, 38–41. [Google Scholar] [CrossRef]
  41. Aketo, T.; Hoshikawa, Y.; Nojima, D.; Yabu, Y.; Maeda, Y.; Yoshino, T.; Takano, H.; Tanaka, T. Selection and characterization of microalgae with potential for nutrient removal from municipal wastewater and simultaneous lipid production. J. Biosci. Bioeng. 2020, 129, 565–572. [Google Scholar] [CrossRef] [PubMed]
  42. Wu, P.F.; Teng, J.C.; Lin, Y.H.; Hwang, S.C. Increasing algal biofuel production using Nannocholropsis oculata cultivated with anaerobically and aerobically treated swine wastewater. Bioresour. Technol. 2013, 133, 102–108. [Google Scholar] [CrossRef] [PubMed]
  43. Kim, G.Y.; Yun, Y.M.; Shin, H.S.; Han, J.I. Cultivation of four microalgae species in the effluent of anaerobic digester for biodiesel production. Bioresour. Technol. 2017, 224, 738–742. [Google Scholar] [CrossRef]
  44. Sydney, E.B.; da Silva, T.E.; Tokarski, A.; Novak, A.C.; de Carvalho, J.C.; Woiciecohwski, A.L.; Larroche, C.; Soccol, C.R. Screening of microalgae with potential for biodiesel production and nutrient removal from treated domestic sewage. Appl. Energy 2011, 88, 3291–3294. [Google Scholar] [CrossRef]
Figure 1. Growth curves for six microalgal strains in five dilutions of ADSW and BG11 medium within 14 days. (a) S. obliquus FACHB-417, (b) C. zofingiensis GF1, (c) C. protothecoides GF2, (d) C. pyrenoidosa GF3, (e) C. vulgaris FACHB-8, and (f) Chlorella sp. FACHB-31. Error bars represent SD (n = 3).
Figure 1. Growth curves for six microalgal strains in five dilutions of ADSW and BG11 medium within 14 days. (a) S. obliquus FACHB-417, (b) C. zofingiensis GF1, (c) C. protothecoides GF2, (d) C. pyrenoidosa GF3, (e) C. vulgaris FACHB-8, and (f) Chlorella sp. FACHB-31. Error bars represent SD (n = 3).
Microorganisms 09 02469 g001
Figure 2. Time course of chlorophyll a concentration for six microalgal strains in five dilutions of ADSW and BG11 medium within 14 days. (a) S. obliquus FACHB-417, (b) C. zofingiensis GF1, (c) C. protothecoides GF2, (d) C. pyrenoidosa GF3, (e) C. vulgaris FACHB-8, and (f) Chlorella sp. FACHB-31. Error bars represent SD (n = 3).
Figure 2. Time course of chlorophyll a concentration for six microalgal strains in five dilutions of ADSW and BG11 medium within 14 days. (a) S. obliquus FACHB-417, (b) C. zofingiensis GF1, (c) C. protothecoides GF2, (d) C. pyrenoidosa GF3, (e) C. vulgaris FACHB-8, and (f) Chlorella sp. FACHB-31. Error bars represent SD (n = 3).
Microorganisms 09 02469 g002
Figure 3. Changes in the removal of TN (a), TP (b), and NH4+-N (c) with time by FACHB-8 and FACHB-31 in undiluted ADSW within 15 days. Error bars represent SD (n = 3).
Figure 3. Changes in the removal of TN (a), TP (b), and NH4+-N (c) with time by FACHB-8 and FACHB-31 in undiluted ADSW within 15 days. Error bars represent SD (n = 3).
Microorganisms 09 02469 g003
Figure 4. Comparison of content of carbohydrate, protein, and total lipid from FACHB-8 and FACHB-31 after 15 days of cultivation in undiluted ADSW. Error bars represent SD (n = 3).
Figure 4. Comparison of content of carbohydrate, protein, and total lipid from FACHB-8 and FACHB-31 after 15 days of cultivation in undiluted ADSW. Error bars represent SD (n = 3).
Microorganisms 09 02469 g004
Table 1. Compositions of non-autoclaved and autoclaved ADSW.
Table 1. Compositions of non-autoclaved and autoclaved ADSW.
ParametersNon-Autoclaved ADSWAutoclaved ADSW
TN (mg·L−1)341.50 ± 9.71258.50 ± 6.36
TP (mg·L−1)80.75 ± 0.4965.75 ± 0.64
NH4+-N (mg·L−1)238.50 ± 4.95183.50 ± 2.12
COD (mg·L−1)1124.01 ± 23.46900.01 ± 13.53
TOC (mg·L−1)393.80 ± 10.87194.80 ± 6.41
IC (mg·L−1)324.12 ± 12.96191.92 ± 7.05
As (mg·L−1)0.000.00
Cd (mg·L−1)0.000.00
Cr (mg·L−1)0.860.65
Cu (mg·L−1)0.210.03
Fe (mg·L−1)3.662.19
Mn (mg·L−1)0.450.18
Ni (mg·L−1)0.160.08
Pb (mg·L−1)3.903.90
Zn (mg·L−1)0.120.05
Sb (mg·L−1)0.0050.004
pH7.35 ± 0.218.36 ± 0.34
Table 2. Biomass production, biomass productivity, maximum biomass productivity, specific growth rate, maximum specific growth rate of six microalgal strains in five dilutions of ADSW and BG11 medium within 14 days.
Table 2. Biomass production, biomass productivity, maximum biomass productivity, specific growth rate, maximum specific growth rate of six microalgal strains in five dilutions of ADSW and BG11 medium within 14 days.
Algal SpeciesCulture MediumBiomass Production (g L−1)Biomass Productivity (mg L−1 d−1)Maximum Biomass Productivity (mg L−1 d−1)Specific Growth Rate (d−1)Maximum Specific Growth Rate (d−1)
S. obliquus FACHB-41720% ADSW1.417 ± 0.016 b86.548 ± 0.546 b213.333 ± 17.559 b0.182 ± 0.009 b0.250 ± 0.031 c
40% ADSW1.303 ± 0.010 c78.453 ± 1.148 c216.667 ± 17.017 b0.161 ± 0.012 bc0.490 ± 0.053 a
60% ADSW1.262 ± 0.025 c75.476 ± 2.431 c 212.500 ± 18.284 b0.169 ± 0.021 bc0.485 ± 0.037 a
80% ADSW0.973 ± 0.031 d54.881 ± 2.508 d166.250 ± 8.839 c0.147 ± 0.007 c0.425 ± 0.044 ab
100% ADSW0.412 ± 0.010 e14.762 ± 1.443 e26.250 ± 5.303 d0.063 ± 0.011 d0.068 ± 0.010 d
BG11 medium2.233 ± 0.039 a144.881 ± 3.037 a284.167 ± 33.572 a0.362 ± 0.009 a0.353 ± 0.037 bc
C. zofingiensis GF120% ADSW0.473 ± 0.055 b26.905 ± 4.306 b106.667 ± 14.216 b0.178 ± 0.012 ab0.650 ± 0.054 b
40% ADSW0.287 ± 0.015 c13.571 ± 1.429 c41.667 ± 10.104 c0.125 ± 0.025 bc0.163 ± 0.042 d
60% ADSW0.250 ± 0.035 cd10.953 ± 2.909 cd42.500 ± 3.536 c0.088 ± 0.030 c0.286 ± 0.018 c
80% ADSW0.195 ± 0.028 d7.024 ± 1.967 d40.000 ± 11.456 c0.185 ± 0.075 ab0.348 ± 0.037 c
100% ADSW0.202 ± 0.015 d7.500 ± 1.237 d16.250 ± 5.303 d0.074 ± 0.013 c0.156 ± 0.010 d
BG11 medium0.575 ± 0.053 a33.929 ± 3.763 a140.833 ± 10.104 a0.195 ± 0.003 a0.748 ± 0.064 a
C. protothecoides GF220% ADSW0.735 ± 0.068 b48.214 ± 4.831 b123.333 ± 28.759 b0.199 ± 0.020 b0.6863 ± 0.294 a
40% ADSW0.597 ± 0.018 c38.333 ± 1.254 c136.667 ± 3.819 b0.194 ± 0.015 b0.589 ± 0.025 b
60% ADSW0.368 ± 0.024 d22.024 ± 1.688 d60.833 ± 11.273 c0.196 ± 0.011 b0.602 ± 0.049 b
80% ADSW0.185 ± 0.013 e8.929 ± 0.945 e25.000 ± 5.000 d0.138 ± 0.018 c0.358 ±0.036 c
100% ADSW0.207 ± 0.003 e10.476 ± 0.206 e25.833 ± 1.443 d0.105 ± 0.019 d0.310 ± 0.048 c
BG11 medium1.350 ± 0.079 a92.143 ± 5.669 a188.333 ± 12.583 a0.311 ± 0.009 a0.225 ± 0.023 d
C. pyrenoidosa GF320% ADSW0.720 ± 0.048 c44.524 ± 3.079 c123.333 ± 10.408 d0.188 ± 0.013 b0.591 ± 0.073 c
40% ADSW0.885 ± 0.040 b56.309 ± 3.221 b116.667 ± 9.465 d0.188 ± 0.004 b0.502 ± 0.047 c
60% ADSW0.783 ± 0.102 bc49.048 ± 7.092 bc211.333 ± 15.543 a0.170 ± 0.037 b0.747 ± 0.049 b
80% ADSW0.837 ± 0.075 bc52.619 ± 5.872 bc189.167 ± 7.638 b0.183 ± 0.030 b0.614 ± 0.172 bc
100% ADSW0.852 ± 0.058 b53.929 ± 4.345 b205.833 ± 11.547 ab0.241 ± 0.001 a0.926 ± 0.009 a
BG11 medium1.190 ± 0.062 a78.095 ± 4.185 a168.333 ± 11.547 c0.253 ± 0.004 a0.757 ± 0.034 b
C. vulgaris FACHB-820% ADSW0.778 ± 0.060 e51.786 ± 4.684 e141.667 ± 11.815 d 0.189 ± 0.011 c0.614 ± 0.072 c
40% ADSW0.933 ± 0.056 d62.857 ± 4.33 d106.667 ± 7.638 e0.185 ± 0.008 c0.424 ± 0.044 d
60% ADSW1.140 ± 0.017 b77.619 ± 1.649 b295.000 ± 25.372 a0.198 ± 0.009 bc0.770 ± 0.075 b
80% ADSW1.015 ± 0.045 c68.691 ± 2.865 cd239.833 ± 16.127 b0.218 ± 0.015 b0.852 ± 0.103 ab
100% ADSW1.023 ± 0.038 c69.285 ± 3.093 c225.833 ± 2.887 b0.249 ± 0.007 a0.923 ± 0.039 a
BG11 medium1.330 ± 0.035 a91.190 ± 2.909 a174.1667 ± 7.638 c0.264 ± 0.020 a0.755 ± 0.122 bc
Chlorella. sp. FACHB-3120% ADSW0.697 ± 0.062 d46.190 ± 4.437 d95.000 ± 15.613 d0.142 ± 0.020 b0.364 ± 0.051 c
40% ADSW1.080 ± 0.022 b73.572 ± 1.557 b161.667 ± 3.819 c0.178 ± 0.006 a0.292 ± 0.025 c
60% ADSW1.118 ± 0.012 b76.310 ± 0.825 b273.333 ± 16.646 ab0.173 ± 0.031 a0.586 ± 0.049 b
80% ADSW1.050 ± 0.046 b71.428 ± 3.273 b260.000 ± 8.660 b0.192 ± 0.009 a0.738 ± 0.052 a
100% ADSW0.943 ± 0.040 c63.810 ± 2.509 c187.500 ± 9.014 c0.176 ± 0.007 a0.598 ± 0.035 b
BG11 medium1.337 ± 0.040 a87.500 ± 6.814 a292.500 ± 27.839 a0.199 ± 0.007 a0.319 ± 0.019 c
Data are expressed as mean ± SD (n = 3). Values with different letters represent significant difference (p < 0.05) between treatments.
Table 3. Removal of TN, TP, and NH4+-N by six microalgal strains in five dilutions of ADSW and BG11 medium within 14 days.
Table 3. Removal of TN, TP, and NH4+-N by six microalgal strains in five dilutions of ADSW and BG11 medium within 14 days.
Algal SpeciesCulture MediumTNTP NH4+-N
Initial
(mg L−1)
Final
(mg L−1)
Removal Efficiency (%)Initial
(mg L−1)
Final
(mg L−1)
Removal Efficiency (%)Initial
(mg L−1)
Final
(mg L−1)
Removal Efficiency (%)
S. obliquus FACHB-41720% ADSW52.43 ± 1.2313.51 ± 0.7074.24 ± 1.34 b 14.21 ± 0.210.40 ± 0.05 97.19 ± 0.37 a 37.46 ± 1.450.84 ± 0.03 97.75 ± 0.07 a
40% ADSW105.71 ± 2.4618.08 ± 1.2582.89 ± 1.18 a 26.87 ± 0.190.85 ± 0.12 96.85 ± 0.45 a 73.60 ± 1.783.23 ± 0.15 95.61 ± 0.21 b
60% ADSW153.80 ± 4.2146.92 ± 1.1269.48 ± 0.73 d 39.60 ± 0.434.80 ± 0.1487.87 ± 0.34 c 111.34 ± 3.9812.00 ± 0.84 89.22 ± 0.76 c
80% ADSW205.80 ± 5.4657.84 ± 0.7171.91 ± 0.35 c 53.46 ± 0.344.02 ± 0.0392.47 ± 0.06 b 147.87 ± 2.4517.77 ± 1.89 87.98 ± 1.28 c
100% ADSW258.50 ± 6.3671.33 ± 0.9172.41 ± 0.35 c65.75 ± 0.649.79 ± 0.1885.12 ± 0.27 d 183.50 ± 2.1259.75 ± 1.17 67.44 ± 0.64 d
C. zofingiensis GF120% ADSW52.43 ± 1.2313.15 ± 0.7474.87 ± 1.40 a 14.21 ± 0.215.39 ± 0.2162.05 ± 1.44 b 37.46 ± 1.4513.22 ± 1.91 64.71 ± 5.10 a
40% ADSW105.71 ± 2.4629.28 ± 0.6872.30 ± 0.64 b 26.87 ± 0.1915.57 ± 1.1642.07 ± 4.31 d 73.60 ± 1.7826.23 ± 0.73 64.36 ± 1.00 a
60% ADSW153.80 ± 4.2159.06 ± 1.2661.60 ± 0.82 d 39.60 ± 0.4316.82 ± 0.3157.52 ± 0.78 c 111.34 ± 3.9855.42 ± 3.3750.22 ± 3.03 b
80% ADSW205.80 ± 5.4669.61 ± 0.9566.18 ± 0.46 c 53.46 ± 0.3418.76 ± 0.1564.91 ± 0.28 b 147.87 ± 2.4571.97 ± 1.52 51.33 ± 1.03 b
100% ADSW258.50 ± 6.3684.03 ± 1.8067.49 ± 0.70 c 65.75 ± 0.6419.76 ± 0.4569.94 ± 0.68 a 183.50 ± 2.1291.17 ± 3.15 50.32 ± 1.72 b
C. protothecoides GF220% ADSW52.43 ± 1.2310.59 ± 0.1479.80 ± 0.26 b 14.21 ± 0.212.38 ± 0.2683.23 ± 1.85 d 37.46 ± 1.452.00 ± 0.04 94.66 ± 0.12 b
40% ADSW105.71 ± 2.4617.43 ± 0.8083.51 ± 0.75 a 26.87 ± 0.190.65 ± 0.08 97.57 ± 0.28 a 73.60 ± 1.780.74 ± 0.02 99.00 ± 0.03 a
60% ADSW153.80 ± 4.2141.31 ± 0.94 73.14 ± 0.61 d 39.60 ± 0.434.42 ± 0.4088.83 ± 1.00 b 111.34 ± 3.9824.83 ± 1.00 77.70 ± 0.90 c
80% ADSW205.80 ± 5.4653.41 ± 1.97 74.05 ± 0.95 d 53.46 ± 0.346.29 ± 0.1988.24 ± 0.36 bc 147.87 ± 2.4534.64 ± 0.86 76.57 ± 0.58 d
100% ADSW258.50 ± 6.3660.83 ± 1.09 76.47 ± 0.42 c 65.75 ± 0.648.74 ± 0.1686.71 ± 0.24 c 183.50 ± 2.1247.80 ± 0.98 73.95 ± 0.54 e
C. pyrenoidosa GF320% ADSW52.43 ± 1.2325.90 ± 1.55 50.60 ± 2.96 d14.21 ± 0.211.09 ± 0.14 92.31 ± 1.02 b 37.46 ± 1.451.45 ± 0.13 96.13 ± 0.35 b
40% ADSW105.71 ± 2.4632.51 ± 2.16 69.25 ± 2.04 c 26.87 ± 0.191.36 ± 0.1494.94 ± 0.54 a 73.60 ± 1.781.81 ± 0.16 97.54 ± 0.22 a
60% ADSW153.80 ± 4.2138.00 ± 0.9075.29 ± 0.58 b 39.60 ± 0.432.69 ± 0.28 93.22 ± 0.71 b 111.34 ± 3.9817.88 ± 0.89 83.94 ± 0.80 c
80% ADSW205.80 ± 5.4648.14 ± 0.34 76.61 ± 0.16 b 53.46 ± 0.345.04 ± 0.0290.57 ± 0.04 c 147.87 ± 2.4521.87 ± 1.34 85.21 ± 0.91 c
100% ADSW258.50 ± 6.3652.62 ± 1.02 79.64 ± 0.39 a 65.75 ± 0.647.91 ± 0.1487.96 ± 0.21 d 183.50 ± 2.1236.07 ± 1.1880.35 ± 0.65 d
C. vulgaris FACHB-820% ADSW52.43 ± 1.2323.09 ± 0.08 55.95 ± 0.15 d 14.21 ± 0.211.05 ± 0.1492.63 ± 1.00 bc37.46 ± 1.451.67 ± 0.03 95.55 ± 0.09 b
40% ADSW105.71 ± 2.4627.95 ± 0.51 73.56 ± 0.48 c 26.87 ± 0.191.24 ± 0.2295.39 ± 0.81 a 73.60 ± 1.781.62 ± 0.18 97.80 ± 0.25 a
60% ADSW153.80 ± 4.2132.85 ± 0.90 78.64 ± 0.59 b 39.60 ± 0.431.87 ± 0.10 95.29 ± 0.26 a 111.34 ± 3.988.38 ± 0.17 92.48 ± 0.15 c
80% ADSW205.80 ± 5.4641.90 ± 0.44 79.64 ± 0.21 b 53.46 ± 0.343.57 ± 0.19 93.32 ± 0.36 b 147.87 ± 2.4512.73 ± 0.3591.39 ± 0.24 d
100% ADSW258.50 ± 6.3640.85 ± 1.28 84.21 ± 0.49 a 65.75 ± 0.645.13 ± 0.1392.19 ± 0.20 c 183.50 ± 2.1216.22 ± 0.4791.16 ± 0.25 d
Chlorella sp. FACHB-3120% ADSW52.43 ± 1.2318.48 ± 1.97 64.76 ± 1.76 d 14.21 ± 0.210.77 ± 0.03 94.60 ± 0.21 b 37.46 ± 1.452.26 ± 0.15 93.98 ± 0.40 b
40% ADSW105.71 ± 2.4625.94 ± 0.32 75.46 ± 0.32 c 26.87 ± 0.190.98 ± 0.02 96.35 ± 0.07 a 73.60 ± 1.781.54 ± 0.32 97.91 ± 0.43 a
60% ADSW153.80 ± 4.2135.33 ± 0.9477.03 ± 0.61 bc 39.60 ± 0.432.76 ± 0.15 93.03 ± 0.39 c 111.34 ± 3.989.89 ± 0.4291.12 ± 0.38 c
80% ADSW205.80 ± 5.4641.87 ± 2.3679.66 ± 1.14 b 53.46 ± 0.343.69 ± 0.31 93.10 ± 0.58 c 147.87 ± 2.4512.44 ± 0.47 91.59 ± 0.32 c
100% ADSW258.50 ± 6.3640.75 ± 0.5984.24 ± 0.23 a 65.75 ± 0.646.01 ± 0.14 90.89 ± 0.21 d 183.50 ± 2.1217.47 ± 0.52 90.48 ± 0.28 d
Data are expressed as mean ± SD (n = 3). Values with different letters represent significant difference (p < 0.05) between treatments.
Table 4. Fatty acid composition (% total fatty acids) of FACHB-8 and FACHB-31 grown in undiluted ADSW after 15 days of cultivation.
Table 4. Fatty acid composition (% total fatty acids) of FACHB-8 and FACHB-31 grown in undiluted ADSW after 15 days of cultivation.
Fatty AcidC. vulgaris FACHB-8Chlorella sp. FACHB-31
C14:08.52 ± 0.698.23 ± 1.09
C14:12.21 ± 0.032.37 ± 0.20
C16:027.46 ± 0.3227.95 ± 0.37
C16:1 2.81 ± 0.132.40 ± 0.70
C18:017.59 ± 1.2617.29 ± 0.82
C18:1 n-920.57 ± 0.0720.25 ± 0.44
C18:2 n-616.61 ± 1.0917.27 ± 0.11
C20:0 3.55 ± 0.863.58 ± 0.91
C20:5 n-30.67 ± 0.120.65 ± 0.10
SFA a56.74 ± 0.5657.41 ± 0.50
UFA b43.26 ± 0.5642.59 ± 0.50
MUFA c25.62 ± 0.0424.65 ± 0.47
PUFA d17.65 ± 0.5217.94 ± 0.03
a SFA, saturated fatty acids. b MUFA, monounsaturated fatty acids. c UFA, unsaturated fatty acids. d PUFA, polyunsaturated fatty acids.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Chen, Z.; Xiao, Y.; Liu, T.; Yuan, M.; Liu, G.; Fang, J.; Yang, B. Exploration of Microalgal Species for Nutrient Removal from Anaerobically Digested Swine Wastewater and Potential Lipids Production. Microorganisms 2021, 9, 2469. https://doi.org/10.3390/microorganisms9122469

AMA Style

Chen Z, Xiao Y, Liu T, Yuan M, Liu G, Fang J, Yang B. Exploration of Microalgal Species for Nutrient Removal from Anaerobically Digested Swine Wastewater and Potential Lipids Production. Microorganisms. 2021; 9(12):2469. https://doi.org/10.3390/microorganisms9122469

Chicago/Turabian Style

Chen, Zhihui, Yunhua Xiao, Tan Liu, Mingmin Yuan, Gang Liu, Jun Fang, and Bo Yang. 2021. "Exploration of Microalgal Species for Nutrient Removal from Anaerobically Digested Swine Wastewater and Potential Lipids Production" Microorganisms 9, no. 12: 2469. https://doi.org/10.3390/microorganisms9122469

APA Style

Chen, Z., Xiao, Y., Liu, T., Yuan, M., Liu, G., Fang, J., & Yang, B. (2021). Exploration of Microalgal Species for Nutrient Removal from Anaerobically Digested Swine Wastewater and Potential Lipids Production. Microorganisms, 9(12), 2469. https://doi.org/10.3390/microorganisms9122469

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