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causes large-scale losses of agricultural crops worldwide. The natural metabolite furfural acetone has been reported to attract and kill , but whether the attractant and nematicidal activities of furfural acetone on function simultaneously in the same system, especially in three-dimensional spaces or in soil, is still unknown. Here, we used 23% Pluronic F-127 gel and a soil simulation device to demonstrate that furfural acetone has a significant attract-and-kill effect on in both three-dimensional model systems. At 24 h, the chemotaxis index and the corrected mortality of nematodes exposed to 60 mg/ml of furfural acetone in 23% Pluronic F-127 gel were as high as 0.82 and 74.44%, respectively. Soil simulation experiments in moist sand showed that at 48 h, the chemotaxis index and the corrected mortality of the nematode toward furfural acetone reached 0.63 and 82.12%, respectively, and the effect persisted in the presence of tomato plants. In choice experiments, nematodes selected furfural acetone over plant roots and were subsequently killed. In pot studies, furfural acetone had a control rate of 82.80% against . Collectively, these results provide compelling evidence for further investigation of furfural acetone as a novel nematode control agent.
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http://dx.doi.org/10.1094/PDIS-07-20-1501-RE | DOI Listing |
Front Mol Biosci
August 2025
Department of Medicine, Medical School, Fu Jen Catholic University, New Taipei City, Taiwan.
Aims: Approximately 25%-30% of the global population is affected by non-alcoholic fatty liver disease (NAFLD). This study aimed to explore whether NAFLD could be effectively detected using 341 volatile organic compounds (VOCs) via 10 machine learning (Mach-L) algorithms in a cohort of 1,501 individuals.
Methods: Participants were selected from the Taiwan MJ cohort, which includes comprehensive demographic, biochemical, lifestyle, and VOCs data.
Funct Plant Biol
June 2025
Department of Biology, College of Science, King Khalid University, Abha, Kingdom of Saudi Arabia.
Rice is a substantial cereal crop and staple food in several world regions. Nitrogen (N) and potassium (K) are key to increasing rice growth and development, ultimately increasing the farmer's net profit. Environmental pollution also results from the careless application of nitrogenous fertilizers for commercial agricultural cultivation.
View Article and Find Full Text PDFBioresour Technol
August 2025
Center of Biomass Engineering/College of Agronomy and Biotechnology, China Agricultural University, Beijing 100193, China. Electronic address:
5-Hydroxymethylfurfural (HMF), regarded as a vital link between bio-refining and petrochemical refining, demonstrates significant potential to produce sustainable chemicals, fuels, and materials. However, its reliance on food-grade sugars as feedstock limits economic feasibility. This study demonstrates that sweet sorghum juice, rich in fructose, glucose, and sucrose, is an ideal, low-cost raw material for HMF production.
View Article and Find Full Text PDFBioresour Bioprocess
April 2025
Department of Biotechnology, University of Chemistry and Technology Prague, Technická 5, Prague, 16628, Czech Republic.
Lignocellulose is a promising renewable resource for producing platform chemicals, such as acetone, butanol, and ethanol, via ABE fermentation by solventogenic clostridia. This study investigates the effects of common lignocellulose derived inhibitory compounds: ferulic acid, coumaric acid, and furfural on Clostridium beijerinckii. Dual-staining with propidium iodide and CFDA, combined with flow cytometry, was employed to assess physiological variability.
View Article and Find Full Text PDFInt J Biol Macromol
May 2025
Beijing Key Laboratory of Lignocellulosic Chemistry, Beijing Forestry University, College of Materials Science and Technology, Beijing 100083, China. Electronic address:
The simultaneous hydrolysis of cellulose and hemicellulose involves trade-offs, making precise control of hydrolysis products crucial for sustainable development. This study employed three machine learning (ML) models-Random Forest (RF), Extreme Gradient Boosting (XGB), and Support Vector Machines (SVM)-to simulate and predict the yields of xylose (Xyl), furfural (FF), glucose (Glu), 5-hydroxymethylfurfural (5-HMF), and levulinic acid (LA) in a phosphoric acid/acetone/water system. The RF model demonstrated the highest accuracy, with R values between 0.
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