Nitrate poses a potential threat to aquatic ecosystems. This study focuses on the sulfur autotrophic denitrification mechanism in the process of water culture wastewater treatment, which has been successfully applied to the degradation of nitrogen in water culture farm effluents. However, the coexistence of organic acids in the treatment process is a common environmental challenge, significantly affecting the activity of denitrifying bacteria. This paper aims to explore the effects of adding benzoic acid and lactic acid on denitrification performance, organic acid removal rate, and microbial population abundance in sulfur autotrophic denitrification systems under optimal operating conditions, sulfur deficiency, and high hydraulic load. In experiments with 50 mg·L of benzoic acid or lactic acid alone, the results show that benzoic acid and lactic acid have a stimulating effect on denitrification activity, with the stimulating effect significantly greater than the inhibitory effect. Under optimal operating conditions, the average denitrification rate of the system remained above 99%; under S/N = 1.5 conditions, the average denitrification rate increased from 88.34% to 91.93% and 85.91%; under HRT = 6 h conditions, the average denitrification rate increased from 75.25% to 97.79% and 96.58%. In addition, the addition of organic acids led to a decrease in microbial population abundance. At the phylum level, Proteobacteria has always been the dominant bacterial genus, and its relative abundance significantly increased after the addition of benzoic acid, from 40.2% to 61.5% and 62.4%. At the genus level, Thiobacillus, Sulfurimonas, Chryseobacterium, and Thermomonas maintained high population abundances under different conditions. PRACTITIONER POINTS: Employing autotrophic denitrification process for treating high-nitrate wastewater. Utilizing organic acids as external carbon sources. Denitrifying bacteria demonstrate high utilization efficiency towards organic acids. Organic acids promote denitrification more than they inhibit it. The promotion is manifested in the enhancement of activity and microbial abundance.
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http://dx.doi.org/10.1002/wer.11056 | DOI Listing |
J Biotechnol
December 2024
School of Biomolecular and Biomedical Sciences, University College Dublin, Dublin D04 N2E5, Ireland; BiOrbic Bioeconomy Research Centre, O'Brien Centre for Science [Science East], University College Dublin, Dublin D04 N2E5, Ireland. Electronic address:
We demonstrate the proof of concept of increasing the bioavailability of carbon substrates, derived from plastic waste, for their conversion to the biodegradable polymer polyhydroxyalkanoate [PHA] by bacteria and test various approaches to PHA accumulation through batch, fed batch and continuous culture. Styrene, ethylbenzene, and toluene are produced from the pyrolysis of mixed plastic waste (Kaminsky, 2021; Miandad et al., 2017), but they are volatile and poorly soluble in water making them difficult to work with in aqueous fermentation systems.
View Article and Find Full Text PDFJ Asian Nat Prod Res
December 2024
CAS Key Laboratory of Tropical Marine Bio-resources and Ecology, Guangdong Key Laboratory of Marine Materia Medica, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China.
Three new terpenoid derivatives (1,6,7)-hydrobenzosydowic acid (), (1 ,6,7)-hydrobenzosydowic acid (), and (7 ,10)-11-dehydroxy-iso-10-hydroxysydowic acid (), along with the known analogues ()-2-(1-(4-nitrobenzoyl)pyrrolidine-2-carboxamido)benzoic acid () and trihydroxybutyl ester of 4-carboxydiorcinol () were isolated from the deep-sea-derived fungus DFFSCS007. Their structures were determined by spectroscopic analysis. Compound with a nitrobenzene group was isolated from nature for the first time.
View Article and Find Full Text PDFMetabolites
December 2024
Institute of Agro-Food Technology, Jilin Academy of Agricultural Sciences (Northeast Agricultural Research Center of China), Changchun 130033, China.
Whey fermentation could produce bioactive substances with immunomodulatory effects, metabolic syndrome modulation, and antioxidant properties, thereby imparting functional characteristics to products and facilitating the development of novel foods with health-promoting potential. A non-targeted metabolomics approach using liquid chromatography-mass spectrometry (LC-MS) was employed to investigate changes in the metabolite profiles of whey fermented by strain KM812 over varying fermentation durations. The findings demonstrated a progressive enrichment of metabolites over time.
View Article and Find Full Text PDFBMC Chem
December 2024
Pharmaceutical Analytical Chemistry Department, Faculty of Pharmacy, Cairo University, Cairo, Egypt.
A simple and green chemometrics-assisted spectrophotometric technique has beendeveloped and validated for the determination of antipyrine (ANT) and benzocaine HCl (BEN) along with the official impurity of ANT, antipyrine impurity A (ANT imp-A), and the degradation product of BEN, p-amino benzoic acid (PABA), in their quaternary mixture. Three models were developed and compared: partial least squares (PLS), artificial neural networks (ANN), and multivariate curve resolution-alternating least squares (MCR-ALS) where the four studied drugs were successfully quantified. The quantitative determination of the studied drugs was assessed using percentage recoveries, standard errors of prediction, and root mean square errors of prediction.
View Article and Find Full Text PDFJ Med Chem
December 2024
Department of Chemistry, School of Science and Engineering, Saint Louis University, Saint Louis, Missouri 63103, United States.
Cryptosporidiosis is a diarrheal disease caused by the parasite resulting in over 100,000 deaths annually. Here, we present a structure-activity relationship study of the benzoic acid position (R) of pyrazolo[3,4-]pyrimidine lead SLU-2815 (), an inhibitor of parasite phosphodiesterase PDE1, resulting in the discovery of benzoxaborole SLU-10906 () as a benzoic acid bioisostere. Benzoxaborole is 10-fold more potent than against the parasite in a cell-based infection model (EC = 0.
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