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The utilization of slowly-biodegradable organic matter (SBOM) to provide nitrite efficiently for anaerobic ammonia oxidation (anammox) process is an essential topic. High nitrite concentration without inhibition of exogenous organic matter is optimal condition for anammox process. In this study, hydrolytic fermentation (HF) of SBOM was applied to drive an endogenous partial denitrification (EPD) process (nitrate to nitrite) during an anaerobic-anoxic operation in a starch-fed system. With a limited production of exogenous organic matter (22.3 ± 4.9 mg COD/L), 79.0% of SBOM was transformed into poly-hydroxyalkanoates (PHA) through a pathway of simultaneous HF-absorption and endogenous polymer synthesis, corresponding to a hydrolytic fermentation ratio of 86.0%. A high nitrate to nitrite transformation ratio of 85.4% was achieved under an influent carbon to nitrogen ratio of 4.8. Denitrifying glycogen-accumulating organisms (DGAOs) was enriched from 0.6% to 10.9%, with an increase from 0.7 to 1.0 of nitrate reductase genes to nitrite reductase genes ratio. Subsequently, nitrate reduction rate was 5.6-fold higher than the nitrate reduction rate. A prominent migration of exogenous complete denitrification to EPD was accomplished. Furthermore, the starch-fed system exhibited performance with significant adaptability and stability in the presence of different SBOMs (dissolved protein and primary sludge). Therefore, the HF-EPD system achieved efficient nitrite production through EPD with the addition of various SBOMs, providing a potential alternative to anammox systems for the treatment of SBOM-rich wastewater.

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This study investigates whether a novel estimation method based on machine learning can feasibly predict the readily biodegradable chemical oxygen demand (RB-COD) and slowly biodegradable COD (SB-COD) in municipal wastewater from the oxidation-reduction potential (ORP) data of anoxic batch experiments. Anoxic batch experiments were conducted with highly mixed liquor volatile suspended solids under different RB-COD and SB-COD conditions. As the RB-COD increased, the ORP breakpoint appeared earlier, and fermentation occurred in the interior of the activated sludge, even under anoxic conditions. Therefore, the ORP decline rates before and after the breakpoint were significantly correlated with the RB-COD and SB-COD, respectively (p < 0.05). The two biodegradable CODs were estimated separately using six machine learning models: an artificial neural network (ANN), support vector regression (SVR), an ANN-based AdaBoost, a SVR-based AdaBoost, decision tree, and random forest. Against the ORP dataset, the RB-COD and SB-COD estimation correlation coefficients of SVR-based AdaBoost were 0.96 and 0.88, respectively. To identify which ORP data are useful for estimations, the ORP decline rates before and after the breakpoint were separately input as datasets to the estimation methods. All six machine learning models successfully estimated the two biodegradable CODs simultaneously with accuracies of ≥0.80 from only ORP time-series data. Sensitivity analysis using the Shapley additive explanation method demonstrated that the ORP decline rates before and after the breakpoint obviously contributed to the estimation of RB-COD and SB-COD, respectively, indicating that acquiring the ORP data with various decline rates before and after the breakpoint improved the estimations of RB-COD and SB-COD, respectively. This novel estimation method for RB-COD and SB-COD can assist the rapid control of biological wastewater treatment when the biodegradable organic matter concentration dynamically changes in influent wastewater.

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In this study, partial denitrification (PD, nitrate â†’ nitrite) using dissolved slowly-biodegradable organic matter (DSBOM) was effectively established by introducing biosorption and hydrolytic acidification (HA) as a pretreatment for carbon capture and conversion. After 119 days of optimized operation, an efficient nitrate to nitrite transformation of 80% was achieved, with an influent nitrate level of 40 mg/L and DSBOM level of 183.8 mg/L. There was a significant shift from exogenous PD to endogenous PD, with energy supplied by HA products of captured DSBOM, i.e., acetate, saccharide and intracellular poly-hydroxyalkanoates (PHAs), jointly facilitating nitrite production. This was well explained by that genera Dechloromonas (26.7%), possibly responsible for carbon HA and nitrite production, were enriched; while abundant enzymes for glycolysis, acetate fermentation and PHAs storage, and 2.6 times more nitrate reductases than nitrite reductases were identified. These results highlight a novel carbon capture reuse and PD-based anammox strategy to cost-effectively treat nitrogen.

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The relatively low sensitivity is an important reason for restricting the microbial fuel cell (MFC) sensors' application in low concentration biodegradable organic matter (BOM) detection. The startup parameters, including substrate concentration, anode area and external resistance, were regulated to enhance the sensitivity of MFC sensors. The results demonstrated that both the substrate concentration and anode area were positively correlated with the sensitivity of MFC sensors, and an external resistance of 210 Ω was found to be optimal in terms of sensitivity of MFC sensors. Optimized MFC sensors had lower detection limit (1 mg/L) and higher sensitivity (Slope value of the linear regression curve was 1.02), which effectively overcome the limitation of low concentration BOM detection. The essential reason is that optimized MFC sensors had higher coulombic efficiency, which was beneficial to improve the sensitivity of MFC sensors. The main impact of the substrate concentration and anode area was to regulate the proportion between electrogens and nonelectrogens, biomass and living cells of the anode biofilm. The external resistance mainly affected the morphology structure and the proportion of living cells of the anode. This study demonstrated an effective way to improve the sensitivity of MFC sensors for low concentration BOM detection.

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Partial denitrification (PD, nitrate â†’ nitrite) was successfully established in this study by introducing hydrolytic acidification (HA) of slowly biodegradable organic matter (SBOM). A high selectivity for the nitrate over nitrite as electron acceptors was obtained during a 178-day long-term operation, with the nitrate to nitrite transformation ratio climbing to 81.3% at an influent SBOM of 286 mg/L and low-strength nitrate of 40 mg/L. Acetate (33.9%) and dissolved saccharide (19.3%), as the major SBOM HA products, indeed facilitated high-efficiency nitrite production by serving as favorable electron donors. This was well explained by the metagenomic analysis that the dominant Dechloromonas and Thauera denitrifying genera, which hold 3.9 times higher abundance of nitrate reductase than nitrite reductase, also played a key role in carbon glycolysis and acidification. This study provides new insight into PD development in multiple types of wastewater for the versatile carbon/nitrogen metabolism of functional bacteria.

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Old landfill leachate can be characterized by high ammonia nitrogen concentrations and limited biodegradable carbon availability. A promising and cost-effective option for ammonia nitrogen removal involves ex situ nitrification and in situ denitrification. This study aimed to investigate the denitrification capacity of old MSW in six landfill bioreactors with very low COD/NO3--N mass ratios that ranged between 0.12 and 3.99 g/g. In particular, this study is novel in that it tested COD/NO3--N mass ratios lower than previous studies. The experiment lasted 83 days. The results showed that denitrification occurred in all bioreactors and even at considerably low concentrations of biodegradable organic matter (BOD5 ≤ 9 mg O2/L). In all but one case, when nitrate removal stopped at 55% due to the absence of leachate recirculation, nitrate removal was higher than 95%. The average nitrate removal rates (ANRRs), calculated under significantly different conditions, ranged from 33 to 135 mg NO3--N/L/d. The initial COD concentration and COD/NO3--N ratio did not appear to affect the ANRRs, which were influenced by the initial nitrate concentration and leachate recirculation. The maximum ANRR (135 mg NO3--N/L/d) was measured with the highest initial nitrate concentration (4491 mg NO3--N/L) and the lowest COD/NO3--N mass ratio (0.12 g COD/g NO3--N). The lowest ANRR (33 mg NO3--N/L/d) was calculated for a bioreactor with no leachate recirculation. Sulphate production observed in some bioreactors may suggest that, together with the heterotrophic pathway, autotrophic denitrification contributed to the removal of nitrate, especially in bioreactors with low COD/NO3--N mass ratio.

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The quantification of biodegradable organic matter (BOM) in polluted water plays an essential role for biodegradation-based processing of wastewater and management of water environment. Compared with the traditional detection of five-day biochemical oxygen demand (BOD5), microbial fuel cell (MFC) sensors have shown an advantage for rapid and more accurate BOM assessment in several hours using coulombic yield of MFC as the signal. In this study, we propose a new calculation method that relies on the partial coulombic yield (P-CY) to further shorten the duration of the measurement. The P-CY is the cumulative coulomb at the point at which the voltage acquisition reaches a maximum voltage drop rate. The detection results with the standard GGA solution (a mixture of glucose and glutamic acid) show an enhanced linear relationship ranging from 37.5 mg L-1 to 375 mg L-1 in comparison to conventional methods. Notably, the response time for P-CY is remarkably shortened (0.99 ± 0.18-18.08 ± 0.58 h). The cutoff point for P-CY has more stable electrochemical characteristics, which enhances the accuracy of BOM detection. Furthermore, the validity of our determination of the cutoff point for P-CY is demonstrated by a mathematical model based on the Michaelis-Menten equation. Thus, the P-CY method is viable for the rapid detection of BOM in polluted water.

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For both nitrogen and COD removal from biodegradable organic matter (BOM)-containing ammonium wastewater, the simultaneous partial nitritation, anammox, denitrification and COD oxidization (SNADCO) process is a promising solution. In this study, with the stable influent ammonium concentration of 250.0 mg/L (nitrogen loading rate of 0.5 kg/m3/d) and the variation of influent COD/NH4+-N (C/N) ratio from 0.0 to 1.6, the performance of the SNADCO process in a one-stage carrier-packing airlift reactor with continuous mode was investigated for the first time. The results showed that until the C/N ratio of 0.8, both the well nitrogen and COD removal targets could be reached. Mass balance calculations indicated that the average nitrogen removal efficiency (NRE) of 80.9% achieved at the C/N ratio of 0.8 were due to both the anammox and denitrification pathways. Correspondingly, the achieved average COD removal efficiency of 94.6% was attributed to both the denitrification and COD oxidization pathways. Based on the specific sludge activity tests and Fluorescence in Situ Hybridization observation, anammox and denitrification bacteria were mainly distributed in the biofilm sludge, while ammonium oxidizing bacteria and ordinary heterotrophic organisms were mainly in the suspended sludge. At the C/N ratio of 1.6, the washout of suspended sludge became serious while the biofilm sludge was well retained, resulting in inefficient nitritation and a subsequent decrease in NRE. The microbial interaction analysis provided a clear explanation of the performance change of the SNADCO process under different C/N ratios. This research enriches the knowledge of the SNADCO process in BOM-containing ammonium wastewater treatment.

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Biodegradable organic matter (BOM) in polluted water plays a key role in various biological purification technologies. The five-day biochemical oxygen demand (BOD5) index is often used to determine the amount of BOM. However, standard BOD5 assays, centering on dissolved oxygen detection, have long testing times and often show severe deviation (error ≥ 15%). In the present study, the coulombic yield (Q) of a bio-electrochemical degradation process was determined, and a new index for BOM quantification was proposed. The Q value represents the quantity of transferred electrons from BOM to oxygen, and the corresponding index was defined as BOMQ. By revealing Q-BOM stoichiometric relationship, we were able to perform a BOMQ assay in a microbial fuel cell involved technical platform. Experimental results verified that 5-500mgL-1 of BOMQ toward artificial wastewater samples could be directly obtained without calibration in several to dozens of hours, leaving less than 5% error. Moreover, the BOMQ assay remained accurate and precise in a wide range of optimized operational conditions. A ratio of approximately 1.0 between the values of BOMQ and BOD5 toward artificial and real wastewater samples was observed. The rapidity, accuracy, and precision of the measurement results are supported by a solid theoretical foundation. Thus, BOMQ is a promising water quality index for quantifying BOM in polluted water.

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The use of biologically activated carbon (BAC) in drinking water purification is reviewed. In the past BAC is seen mostly as a polishing treatment. However, BAC has the potential to provide solution to recent challenges faced by water utilities arising from change in natural organic matter (NOM) composition in drinking water sources - increased NOM concentration with a larger fraction of hydrophilic compounds and ever increasing trace level organic pollutants. Hydrophilic NOM is not removed by traditional coagulation process and causes bacterial regrowth and increases disinfection by-products (DBPs) formation during disinfection. BAC can offer many advantages by removing hydrophilic fraction and many toxic and endocrine compounds which are not otherwise removed. BAC can also aid the other downstream processes if used as a pre-treatment. Major drawback of BAC was longer empty bed contact time (EBCT) required for an effective NOM removal. This critical review analyses the strategies that have been adopted to enhance the biological activity of the carbon by operational means and summarises the surface modification methods. To maximize the benefit of the BAC, a rethink of current treatment plant configuration is proposed. If the process can be expedited and adopted appropriately, BAC can solve many of the current problems.

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To explore the short-term impact of biodegradable organic matter on the activities of different functional microbes in autotrophic partial nitrification granular sludge (PNG),the variations of both nitrogen transformation performance and dissolved oxygen (DO) uptake of PNG were investigated in this study,by carrying out successive batch tests with and without the organics stressing.The results showed that the higher the C/N ratio,the lower the specific nitrite accumulation rate of q(NO2--N).Meanwhile,the increase of heterotrophic bacteria (HeB) activities caused the fast DO uptake by PNG,which could effectively suppress nitrite oxidizing bacteria (NOB) with the low oxygen affinity.When inorganic substrate culture was employed in the following phase,both HeB and NOB showed low activities,with significant increase in q(NO2--N).In short,the adverse effects of biodegradable organic matter on the performance of PNG system were partially reversible,which could benefit to enhance the advantage of ammonium oxidizing bacteria (AOB) and improve the stability of partial nitrification reaction.

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In order to understand the biodegradability of algal-derived organic matter, biodegradation experiments were conducted with (13)C and (15)N-labeled natural phytoplankton and periphytic algal populations in experimental conditions for 60 days. Qualitative changes in the dissolved organic matter were also determined using parallel factor analysis and the stable carbon isotopic composition of the hydrophobic dissolved organic matter through the experimental period. Although algal-derived organic matter is considered to be easily biodegradable, the initial amounts of total organic carbon newly produced by phytoplankton and periphytic algae remained approximately 16 and 44 % after 60 days, respectively, and about 22 and 43 % of newly produced particulate nitrogen remained. Further, the dissolved organic carbon derived from both algal populations increased significantly after 60 days. Although the dissolved organic matter gradually became refractory, the contributions of the algal-derived organic matter to the dissolved organic matter and hydrophobic dissolved organic matter increased. Our laboratory experimental results suggest that algal-derived organic matter produced by phytoplankton and periphytic algae could contribute significantly to the non-biodegradable organic matter through microbial transformations.

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Em virtude da grande demanda por proteína de origem animal, tem-se aumentado a produção de frangos de corte e consequentemente a geração de resíduos provenientes do abate de aves, sendo necessário o desenvolvimento de técnicas que permitam o aproveitamento e reciclagem desses materiais. Objetivou-se com a execução deste trabalho avaliar a eficiência da compostagem no tratamento e reciclagem do resíduo sólido de abatedouro avícola. Utilizou-se resíduo sólido de abatedouro avícola comercial composto por fragmentos de vísceras, tecido muscular, adiposo e ósseo, sangue coagulado e penas e, como fonte de carbono, a casca de arroz. Montou-se uma leira com 1,5m3 de volume inicial, na qual foram monitorados os parâmetros: temperatura, teores de sólidos totais (ST), voláteis (SV), N, P, K, carbono orgânico (C), matéria orgânica compostável (MOC), matéria orgânica resistente à compostagem (MORC), demanda química de oxigênio (DQO), massa e volume enleirados, número mais provável (NMP) de coliformes totais e termotolerantes, bem como suas reduções durante o processo. A temperatura máxima atingida no centro da leira foi de 53,3ºC (média semanal), já as reduções de massa de ST e SV e volume durante o processo de pré-compostagem foram de 36,1; 44,3 e 23,3%, respectivamente, e, durante o processo de compostagem, foram de 21,8; 23,8 e 4,4%. A baixa redução do volume das leiras pode estar associada à alta concentração de MORC (40,1%) que pode ser principalmente relacionada à qualidade da fonte de carbono. O processo promoveu satisfatórias reduções totais de ST, SV e volume, sendo, respectivamente, 50,1; 57,5 e 26,7%. No entanto, foram observadas reduções de 43% na quantidade de nitrogênio presente no composto final. Apesar das reduções de nitrogênio, a compostagem demonstrou ser um método eficiente no tratamento dos resíduos sólidos de abatedouro avícola.

The great demand for animal protein was responsible for the increase on the broilers production and hence, the generation of waste from the poultry slaughter was increased as well, which in turn, propelled the development of techniques that allow the reuse and recycling of these wastes. The objective of this study was to evaluate the efficiency of composting on the treatment and recycling of solid waste from poultry slaughterhouse. The solid waste was from a commercial poultry slaughterhouse and was composed of viscera, muscle, fat, bone, blood and feathers that was mixed with a source of carbon, rice husk. Initially, a windrow with a volume of 1.5m3 was built, and then some parameters were monitored: temperature, total solids (TS), volatile (VS), N, P, K, organic carbon (C), composting organic matter (COC), organic matter resistant to composting (MORC), chemical oxygen demand (COD), mass and volume of the windrow, most probable number (MPN) of total and fecal coliforms, as well as their reductions during the process. The maximum temperature reached in the center of the windrow was 53.3°C (weekly average) since reductions of weight of TS and VS and volume during the pre-composting were 36.1, 44.3 and 23.3%, respectively and during the composting process was 21.8, 23.8 and 4.4%. The low volume reduction can be associated with high concentrations of MORC (40.1%) which can be mainly related to the quality of the carbon source. The process produced satisfactory total reductions of TS, VS and volume that were respectively, 50.1, 57.5 and 26.7%. However reductions were observed in 43% of amount of nitrogen in the final compound. Despite reductions in nitrogen content, composting proved to be an effective method in the treatment of solid waste from poultry slaughterhouse.

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A sensor, based on a submersible microbial fuel cell (SUMFC), was developed for in situ monitoring of microbial activity and biochemical oxygen demand (BOD) in groundwater. Presence or absence of a biofilm on the anode was a decisive factor for the applicability of the sensor. Fresh anode was required for application of the sensor for microbial activity measurement, while biofilm-colonized anode was needed for utilizing the sensor for BOD content measurement. The current density of SUMFC sensor equipped with a biofilm-colonized anode showed linear relationship with BOD content, to up to 250 mg/L (∼233 ± 1 mA/m(2)), with a response time of <0.67 h. This sensor could, however, not measure microbial activity, as indicated by the indifferent current produced at varying active microorganisms concentration, which was expressed as microbial adenosine-triphosphate (ATP) concentration. On the contrary, the current density (0.6 ± 0.1 to 12.4 ± 0.1 mA/m(2)) of the SUMFC sensor equipped with a fresh anode showed linear relationship, with active microorganism concentrations from 0 to 6.52 nmol-ATP/L, while no correlation between the current and BOD was observed. It was found that temperature, pH, conductivity, and inorganic solid content were significantly affecting the sensitivity of the sensor. Lastly, the sensor was tested with real contaminated groundwater, where the microbial activity and BOD content could be detected in <3.1 h. The microbial activity and BOD concentration measured by SUMFC sensor fitted well with the one measured by the standard methods, with deviations ranging from 15% to 22% and 6% to 16%, respectively. The SUMFC sensor provides a new way for in situ and quantitative monitoring contaminants content and biological activity during bioremediation process in variety of anoxic aquifers.

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