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Pesticides are often used in agriculture to reduce post-harvest losses due to contamination and to increase productivity. Long-term exposure to these pesticides in food leads to serious health issues in humans and animals. Advanced sensing techniques are crucial for detecting pesticide traces in agricultural products present in low amounts. This study demonstrates an aptamer-based colorimetric assay for detecting organophosphorus pesticides, namely, malathion. In the absence of malathion, the aptamer binds with cationic polymer PDDA, preventing its aggregation with gold nanoparticles. Upon binding with malathion, the PDDA is left free, forming aggregation with AuNPs, resulting in a color change from red to blue. This assay is integrated into a smart optical detection device with a built-in display for standalone operations. The optical absorbance ratio (518/633 nm) was utilized as a marker to detect malathion traces in water, achieving a limit of detection of 248.36 pM within the quantification range (100-1000 pM) and a sensitivity of 0.0015 a.u./pM. Polynomial regression models were applied to compare the performance of the spectrophotometer and the device, yielding R2 values of 0.9468 and 0.9489, demonstrating a strong correlation between the intensity ratio and malathion concentration. A predictive model developed using polynomial regression to estimate malathion concentration based on the device's measured intensity ratio achieved a root mean square error of 9.85%. These findings highlight the potential of the developed device for accurate and reliable pesticide detection. The portability and cost-effectiveness promise its use for on-site monitoring in environmental and precision agriculture settings.
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http://dx.doi.org/10.1063/5.0277097 | DOI Listing |
Mar Biotechnol (NY)
September 2025
Department of Marine Life Science, Jeju National University, Jeju, 63243, South Korea.
This study assessed the optimum dietary vitamin B requirement of Pacific white shrimp, Penaeus vannamei, for growth, feed efficiency, hemocyte counts, innate immunity, and ammonia stress resistance. Semi-purified experimental diets were prepared by adding vitamin B at 0.0, 0.
View Article and Find Full Text PDFFront Bioeng Biotechnol
August 2025
Graduate School of Medicine, Nagoya University, Nagoya, Japan.
Electroactive polymer (EAP) artificial muscles are gaining attention in robotic control technologies. Among them, the development of self-sensing actuators that integrate sensing mechanisms within artificial muscles is highly anticipated. This study aimed to evaluate the accuracy and precision of the sensing capabilities of the e-Rubber (eR), an artificial muscle developed by Toyoda Gosei Co.
View Article and Find Full Text PDFJ Youth Adolesc
September 2025
Faculty of Education, The University of Macau, Macao SAR, China.
Parents and adolescents can differ in their perceptions of parental involvement, yet most research relies on a single informant, potentially overlooking important discrepancies. Using data from 89,448 fifteen-year-olds (50.3% female) and their parents (78.
View Article and Find Full Text PDFRev Sci Instrum
September 2025
Department of Applied Mechanics and Biomedical Engineering, Indian Institute of Technology Madras, Chennai 600036, India.
Pesticides are often used in agriculture to reduce post-harvest losses due to contamination and to increase productivity. Long-term exposure to these pesticides in food leads to serious health issues in humans and animals. Advanced sensing techniques are crucial for detecting pesticide traces in agricultural products present in low amounts.
View Article and Find Full Text PDFDent Mater
September 2025
Faculty of Dentistry, National University of Singapore, Singapore; ORCHIDS: Oral Care Health Innovations and Designs Singapore, National University of Singapore, Singapore. Electronic address:
Objectives: To develop and validate predictive machine learning model capable of estimating long-term pH profiles (up to 672 h) of calcium silicate-based cements (CSCs) using early-stage pH measurements (3 and 24 h).
Materials And Methods: pH and calcium ion release data from in vitro studies (2014 - 2024) were extracted and analysed using descriptive statistics and correlation metrics. Feature selection was conducted using Random Forest regressors to identify key variables.