Mitigating excessive ammonia nitrogen in chicken farm flushing wastewater by mixing strategy for nutrient removal and lipid accumulation in the green alga Chlorella sorokiniana
Introduction
Livestock and poultry wastewaters contain a high amount of heavy metals, nitrogen, phosphorus, and antibiotics (Milbrandt et al., 2018); if disposed without sufficient treatment, these wastewaters can seriously pollute the environments and adversely affect the human life (Milbrandt et al., 2018). The fundamental aims of wastewater treatment are to remove the high levels of nitrogen, phosphorus, chemical oxygen demand, and other organic matters (Nzayisenga et al., 2018). The conventional methods for wastewater treatments have been used to purify the manure and wastewater from chicken farm, including composting process (Wan et al., 2020), fermentation (Baltrėnas and Kolodynskij, 2019), and anaerobic digestion (Zahan and Othman, 2019, Zahan et al., 2018). However, these conventional methods for wastewater treatments are costly and inefficient; as such, there is an urgent need to develop innovative wastewater treatment technologies that are sustainable, cheaper, and more efficient.
One promising treatment has been to use wastewaters for microalgae cultivation (De Bhowmick et al., 2019, Ge and Champagne, 2016). This is a twofold strategy. On one hand, the nutrient-rich wastewaters can support algal growth, thus contributing to nutrient removal while also reducing the nutritional costs for biomass production (Lu et al., 2016, Tan et al., 2016). On the other hand, algal biomass contains abundant energy-rich components that can be converted into various biofuels and bioproducts (Ho et al., 2013). This microalgal cultivation-based treatment is environmentally amenable and sustainable because it does not generate additional pollutants, and provides an opportunity for nutrients recycling (Tan et al., 2016). Microalgal cultivation has been successfully tested in various wastewaters, including industrial (Wang et al., 2016), municipal (Ge and Champagne, 2017, Reyimu and Özçimen, 2017), agricultural (Khalid et al., 2018), food processing (Gao et al., 2018, Gupta and Pawar, 2018, Yang et al., 2015), and livestock (Mark et al., 2017). Recently, some studies have focused on the combined use of microalgal biotechnology to purify the manure and wastewater from chicken farm, for instance, Li et al. (2018) used Chlorella sp. to cultivate in the anaerobic digestion liquid digestate of chicken manure to produce biodiesel. Wang et al. (2014) did a series of pretreatment of poultry manure wastewater to approach the cultivation of Chlorella vulgaris. However, this microalgae culture system has not been used effectively in the treatment of chicken farm flushing wastewater (CFFW).
Usually, the livestock wastewater contains high levels of chromaticity and turbidity that lower light intensity for the photosynthesis of microalgae, and thus requires physicochemical treatments prior to microalgae cultivation (Kim et al., 2014). Livestock wastewater also contains excessive ammonia nitrogen (EAN) that may inhibit microalgae growth. For example, ammonia nitrogen content in piggery wastewater ranges 500–1600 mg/L in anaerobic digestate and 2400–3600 mg/L in raw wastewater (Boursier et al., 2005). Although multiple dissolved inorganic nitrogen forms such as NH4+, NO2−, and NO3− can serve as nutrient sources for algae growth (Sniffen et al., 2018, Wang et al., 2018), NH4+ is first assimilated because it does not need to be reduced for amino acid synthesis. However, a combination of high NH4+ concentration (1000–2000 mg/L) and basic pH (>8.0) will shifts the chemical equilibrium from NH4+ to NH3 which is toxic to microalgae (Källqvist and Svenson, 2003) and the inhibition by certain ammonia nitrogen concentration levels for algae is species-specific (He et al., 2013, Tan et al., 2016, Wang et al., 2018). Therefore, we hypothesized that it is the EAN that leads to the inhibition of algal growth on original livestock wastewater. Various strategies have been developed to reduce the toxic effects of ammonia nitrogen on algal growth, including dilution of ammonia nitrogen concentration, selection of tolerant algae strains, deployment of microalgae-bacteria/fungi/macroalgae symbioses, and other effective pretreatment methods.
Dilution is an effective method for reducing growth inhibition caused by EAN. Dilution of raw piggery wastewater and anaerobic digestate of piggery effluent (ADPE) with fresh water has been used for microalgae cultivation (Jia et al., 2016, Wang et al., 2012). However, dilution using fresh water is not a viable option because of the limitation of fresh water supply and potential problems with the disposal of a larger volume of wastewater into environments (Ayre et al., 2017). A better alternative would be to mix different wastewaters with contrasting profiles; this strategy could improve the nutrient profiles suitable for algae cultivation. For instance, mixing dairy wastewater of low ammonia nitrogen with slaughterhouse wastewater with high ammonia nitrogen improved the algae biomass yield (1.32–2.66 g/L) (Lu et al., 2016). Similar results were also obtained by mixing dairy final effluent with pulp and paper influent (Gentili, 2014). However, the studies on application of mixing strategy in CFFFW have not been reported.
The main aim of this study was to evaluate the capability of algal growth, lipid production, and nutrient removal in chicken farm flushing wastewater (CFFW). The specific experiments included: (1) analyzing the nutrient and metal element profiles of CFFW, (2) isolation and optimization of growth conditions of algal strains, (3) measuring algal growth and nutrient removal in original CFFW, (4) determining the factors that limited algal growth on CFFW, (5) mitigating the limiting factor by dilution with fresh water, (6) mixing CFFW with municipal wastewater (MW) to improve the nutrient profile and algal growth, (7) measuring nutrient removal rate for total nitrogen (TN), ammonia nitrogen (TAN), phosphorus (TP), and chemical oxygen demand (COD), and (8) analyzing nutrient composition of algae (lipid and fatty acids accumulation) grown on mixed wastewaters.
Section snippets
Wastewater collection and analysis
Chicken farm flushing wastewaters (CFFW) were collected from a local poultry farm at Taigu, Shanxi Province, China. For the municipal wastewater, the primary clarifier effluent was collected in a municipal sewage treatment plant located at the same city. The wastewater samples were stored at 4 °C before use for experiments. Prior to use for microalgae cultivation, all wastewater samples were centrifuged at 8000 RPM for 10 min to remove the large particles and sterilized at 121 °C for 30 min.
Characteristics of CFFW
Four nutrient parameters (TN, TAN, TP, and COD), pH and metal profile in CFFW were measured and compared with those in the BG11 medium (Stanier et al., 1971), an artificial medium commonly used for algae culture. Except for TN content, which was lower in CFFW than that in the control medium, TAN, TP, and COD contents in CFFW were significantly higher than those in the BG11 medium (Table 1). The CFFW samples were particularly rich in TAN and COD, which were 995.5 and 34.8 times higher than those
Conclusions
This study showed that (1) CFFW could be used as an alternative medium for algae cultivation, (2) EAN is the limiting factor for algal growth in original CFFW, (3) dilution strategy with distilled water was an effective but unpractical method to releasing limiting factor, (4) mixing strategy with MW was a novel strategy to reducing AN content and balancing nutrient profile, (5) algal biomass yield, total lipid accumulation, and nutrient removal rate on mixed wastewaters were significantly
CRediT authorship contribution statement
Hongli Cui: Conceptualization, Writing - original draft. Haotian Ma: Conceptualization, Writing - original draft. Shuaihang Chen: Methodology. Jie Yu: Methodology. Wen Xu: Formal analysis. Xiaoli Zhu: Formal analysis. Asadullah Gujar: Data curation. Chunli Ji: Data curation. Jinai Xue: Software, Validation. Chunhui Zhang: Software, Validation. Runzhi Li: Supervision, Writing - review & editing.
Declaration of competing interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Acknowledgements
This work was supported by the National Natural Science Foundation of China (31902394), Key Research and Development Planning Project of Shanxi Province (201803D31063), Applying Basic Research Planning Project of Shanxi Province (201801D221250), Key Research and Development Planning Project of Jinzhong City (Y192012); Science and Technology Innovation Planning Project of Shanxi Agricultural University (2018YJ16); Shanxi Scholarship Council of China (2015-064), and the Key Project of the Key
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These authors have contributed equally to this work.