The microbial fermentation of food has emerged as an efficient means to eliminate pesticide residues in agricultural products; however, the specific degradation characteristics and mechanisms remain unclear. In this study, a Gram-positive bacterium, D-21, isolated from fermented Pixian Douban samples exhibited the capability to degrade 45 mg/L of cyfluthrin with an efficiency of 90.37%. Product analysis unveiled a novel cyfluthrin degradation pathway, involving the removal of the cyanide group and ammoniation of the ester bond into an amide. Whole genome analysis discovered the enzymes linked to cyfluthrin degradation, including nitrilase, esterase, carbon-nitrogen ligases, and enzymes associated with aromatic degradation. Additionally, metabolome analysis identified 140 benzenoids distributed across various aromatic metabolic pathways, further substantiating D-21's catabolic capability toward aromatics. This study underscores the exceptional pyrethroid degradation prowess of D-21, positioning it as a promising candidate for the biotreatment of pesticide residues in food systems.
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http://dx.doi.org/10.1021/acs.jafc.3c09024 | DOI Listing |
Nanoscale
January 2025
Department of Chemistry, Faculty of Mathematics and Natural Sciences, Universitas Indonesia, 16424 Depok, West Java, Indonesia.
This study reports on the development of a highly sensitive non-enzymatic electrochemical sensor based on a two-dimensional TiCT/MWCNT-OH nanocomposite for the detection of paraoxon-based pesticide. The synergistic effect between the TiCT nanosheet and the functionalized multi-walled carbon nanotubes enhanced the sensor's conductivity and catalytic activity. The nanocomposite demonstrates superior electrochemical and electroanalytical performance compared to the pristine TiCT and MWCNT-OH in detecting paraoxon-ethyl in fruit samples (green and red grapes), with a linear response range from 0.
View Article and Find Full Text PDFAnal Chem
January 2025
School of Public Health, Hengyang Medical School, University of South China, Hengyang 421001, P. R. China.
Organophosphorus pesticides (OPs) are widely used in agricultural production, posing a great threat to human health and the environment. Given that different OPs present different toxicology and toxicities, identifying individual pesticide residues becomes important for assessing food safety and environmental implications. In this work, a kinetics difference-driven analyte hydrolysis strategy is proposed for the first time and validated to identify -nitrophenyl pesticides by developing an organophosphorus hydrolase-like nanozyme-coded sensor array.
View Article and Find Full Text PDFJ Agric Food Chem
January 2025
Institute of Tobacco Research, Chinese Academy of Agricultural Sciences, Qingdao 266101, P.R. China.
The application of neonicotinoid insecticides (NEOs) increases the potential exposure risks and has an impact on the aroma quality of tomato fruits. Here, 3D cornflower-like MoS (MoS-CF) was fabricated to directly activate peroxymonosulfate (PMS) for fast removal of three typical NEOs. The 3D MoS-CF catalyst achieved over 96.
View Article and Find Full Text PDFTalanta
January 2025
Department of Electronics and Communication Engineering, Tezpur University, Tezpur, 784028, India. Electronic address:
Detection and analysis of organochlorine pesticides (OCP) residue is getting significant research importance because of their extensive use despite their hazardous effects on the health of people and the ecosystem. Despite the implementation of regulations and bans to safeguard human health and the environment, reports frequently reveal the continued use of these harmful chemicals in quantities exceeding the recommended limits set by regulatory boards. Data on the use of OCP from India, the most populous country, and African countries is not very encouraging.
View Article and Find Full Text PDFSpectrochim Acta A Mol Biomol Spectrosc
January 2025
School of Precision Instrument and Opto-electronics Engineering, Tianjin University, Tianjin 300072 China. Electronic address:
The detection of pesticide residues in agricultural products is crucial for ensuring food safety. However, traditional methods are often constrained by slow processing speeds and a restricted analytical scope. This study presents a novel method that uses filter-array-based hyperspectral imaging enhanced by a dynamic filtering demosaicking algorithm, which significantly improves the speed and accuracy of detecting pesticide residues.
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