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Subject: search.filters.subject.Aflatoxin B1

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    Ultrasensitive electrochemical aptasensors based on trimetallic AuPt-Ru nanoparticles decorated RGO with disposable and low-cost goldleaf electrode for aflatoxin B1 quantification in agricultural products
    (2025-01-01)
    Khattiya, Akrarath
    ;
    Karaket, Ratchanok
    ;
    Mathaweesansurn, Arjnarong
    ;
    Detsri, Ekarat
    Due to the significant increase in cases of liver cirrhosis and hepatocellular carcinoma associated with the agricultural products consumption contaminated with Aflatoxin B1 (AFB1), there is an urgent need for rapid AFB1 detection methods. Herein, we propose using waxberry-like heterostructure AuPt-Ru nanoparticles supported by RGO (AuPt-Ru/RGO) embedded goldleaf as a disposable and low-cost electrode (GLE<inf>AuPt-Ru/RGO</inf>) for electrochemical aptasensor detection of AFB1. The trimetallic AuPt-Ru nanocomposite was synthesized through the ultrasonic-driven chemical reduction method. The AuPt-Ru was integrated with RGO to accelerate the electron transfer and increase the specific immobilizing surface area of the thiol-5′-terminated modified aptamer (aptamer) to target AFB1 on GLE. The electrochemical aptasensor GLE<inf>AuPt-Ru/RGO</inf> shows a highly selective response for AFB1 through specific hydrogen bonding and π-π stacking interactions. The linearity of differential pulse voltammetry (DPV) measurements for AFB1 was 0.3–30.0 pg mL<sup>−1</sup> (R<sup>2</sup> = 0.9972) with a detection limit (LOD) and a quantification limit (LOQ) of 9 × 10<sup>−3</sup> pg mL<sup>−1</sup> and 3.1 × 10<sup>−2</sup> pg mL<sup>−1</sup>, respectively. The developed aptamer-based GLE<inf>AuPt-Ru/RGO</inf> performed effectively in actual samples, with recoveries ranging from 94.6 % to 107.9 % in agricultural products including dried red chili, garlic, peanuts, pepper, and Thai jasmine rice. The fabricated aptamer-based GLE-decorated AuPt-Ru/RGO exhibited excellent electrochemical behavior similar to that of a modified commercial electrode, which has great potential application prospects for detecting AFB1 in agricultural products.
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    Application of near infrared spectroscopy to detect aflatoxigenic fungal contamination in rice
    (2013-09-01)
    Dachoupakan Sirisomboon, C.
    ;
    Putthang, R.
    ;
    Sirisomboon, P.
    The objective of this research was to apply the near infrared spectroscopy (NIRS), with a wavelength range between 950 and 1650 nm, to determine the percentage of fungal infection found in rice samples. The total fungal infection and yellow-green Aspergillus infection, which is often indicative of aflatoxigenic fungal infection, are the focus of this research. Spectra were obtained on 106 rice samples, by reflection mode, including 90 naturally contaminated samples, and 16 artificially contaminated samples. Calibration models for the total fungal infection were developed using the original and pretreated absorbance spectra in conjunction with partial least square regression (PLSR). The statistical model developed from the untreated spectra provided the greatest accuracy in prediction, with a correlation coefficient (. r) of 0.668, a standard error of prediction (SEP) of 28.874%, and a bias of -0.101%. For yellow-green Aspergillus infection, the most accurate predictive statistical model was developed using a pretreated (maximum normalization) NIR spectra, with the following statistical characteristics (. r = 0.437, SEP = 18.723% and bias = 4.613%). Therefore, the result showed that the NIRS could be used to detect aflatoxigenic fungal contamination in rice with caution and the technique should be improved to get better prediction model. However, there is an evident from NIR spectra that the moisture and starch content in rice affects the overall extent of fungal infection. © 2013 Elsevier Ltd.