Citation
Abstract
Rice bran, a by-product of the rice milling process, has emerged as a functional food and being used in formulation of healthy food and drinks. However, rice bran is often contaminated with numerous mycotoxins. In this study, a method to simultaneous detection of aflatoxins (AFB1, AFB2, AFG1, and AFG2), ochratoxin A (OTA), deoxynivalenol (DON), fumonisins (FB1 and FB2), sterigmatocystin (STG), T-2 toxin, HT-2 toxin, diacetoxyscirpenol (DAS) and zearalenone (ZEA) in rice bran was developed, optimized and validated using dispersive liquid–liquid microextraction (DLLME) and liquid chromatography-tandem mass spectrometry (LC-MS/MS). In DLLME, using a solvent mixture of methanol/water (80:20, v/v) as the dispersive solvent and chloroform as the extraction solvent with the addition of 5% salt improved the extraction recoveries (63–120%). The developed method was further optimized using the response surface methodology (RSM) combined with Box–Behnken Design (BBD). Under the optimized experimental conditions, good linearity was obtained with a correlation coefficient (r2) ≥ 0.990 and a limit of detection (LOD) between 0.5 to 50 ng g−1. The recoveries ranged from 70.2% to 99.4% with an RSD below 1.28%. The proposed method was successfully applied to analyze multi-mycotoxin in 24 rice bran samples.
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Official URL or Download Paper: https://www.mdpi.com/2072-6651/13/4/280
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Additional Metadata
Item Type: | Article |
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Divisions: | Faculty of Food Science and Technology Institute of Tropical Agriculture and Food Security |
DOI Number: | https://doi.org/10.3390/toxins13040280 |
Publisher: | Multidisciplinary Digital Publishing Institute |
Keywords: | Dispersive liquid–liquid microextraction; Multi-mycotoxin; Liquid chromatography mass spectrometry; Response surface methodology; Rice bran |
Depositing User: | Ms. Nuraida Ibrahim |
Date Deposited: | 01 Dec 2022 04:35 |
Last Modified: | 01 Dec 2022 04:35 |
Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.3390/toxins13040280 |
URI: | http://psasir.upm.edu.my/id/eprint/96758 |
Statistic Details: | View Download Statistic |
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