Evaluation of mycotoxin binders against deoxynivalenol and fumonisin B₁ using isotherm models and linear equations.

IF 2.3 3区农林科学 Q2 CHEMISTRY, APPLIED Food Additives and Contaminants Part A-chemistry Analysis Control Exposure & Risk Assessment Pub Date : 2024-11-20 DOI:10.1080/19440049.2024.2430281

Luara Medianeira de Lima Schlösser, Dison Stracke Pfingsten Franco, Janine Alves Sarturi, Cristiane Rosa da Silva, Isadora Fabris Laber, Cristina Tonial Simões, Carlos Augusto Mallmann

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Abstract

This study was conducted to evaluate the adsorbent characteristics of two mycotoxin binders (BBAc - composed of bentonite, β-glucans, and activated charcoal, and SepHt - composed of heat-treated sepiolite) against deoxynivalenol (DON) and fumonisin B₁ (FB₁) using Brunaeur-Emmett-Teller, Dubinin-Radushkevich, Freundlich, and Langmuir isotherm models and linear regression equations. Both products were tested in vitro at 0.5% with increasing levels of DON or FB₁ (0.5-10 mg L^-1) using solutions of pH 3 and pH 6 and analysed by LC-MS/MS. FB₁ adsorption rates were not different between the products (p > 0.05) at pH 3 and pH 6. At a DON concentration of 1 mg L^-1, BBAc had higher (p < 0.05) adsorption rates than SepHt. For DON, the Freundlich model had the best fit with BBAc at pH 3 and 6, and the Langmuir model with SepHt at both pHs. For FB₁, the Freundlich model had the best fit with BBAc and SepHt at pH 3, and the Langmuir model with both products at pH 6. All the linear regression equations had lower R² than the isotherm models. Therefore, the adsorption isotherm models provided more informative and reliable data for the mycotoxins and mycotoxin binders tested herein.

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利用等温线模型和线性方程评估针对脱氧雪腐镰刀菌烯醇和伏马菌素 B1 的霉菌毒素粘合剂。

本研究采用 Brunaeur-Emmett-Teller、Dubinin-Radushkevich、Freundlich 和 Langmuir 等温线模型和线性回归方程，评估了两种霉菌毒素粘合剂（BBAc - 由膨润土、β-葡聚糖和活性炭组成，SepHt - 由热处理过的sepiolite 组成）对脱氧雪腐镰刀菌烯醇（DON）和伏马菌素 B1（FB1）的吸附特性。使用 pH 值为 3 和 6 的溶液对这两种产品进行了体外测试，DON 或 FB1（0.5-10 mg L-1）的浓度分别为 0.5%和 0.5-10 mg L-1，并通过 LC-MS/MS 进行了分析。当 DON 浓度为 1 mg L-1 时，BBAc 的吸附率较高（p 1）；在 pH 值为 3 时，Freundlich 模型与 BBAc 和 SepHt 的拟合效果最好；在 pH 值为 6 时，Langmuir 模型与这两种产物的拟合效果最好；所有线性回归方程的 R2 都低于等温线模型。因此，吸附等温线模型能为本文测试的霉菌毒素和霉菌毒素粘合剂提供更多可靠的数据。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Food Additives and Contaminants Part A-chemistry Analysis Control Exposure & Risk Assessment CHEMISTRY, APPLIED-FOOD SCIENCE & TECHNOLOGY

CiteScore

7.40

自引率

6.90%

发文量

136

审稿时长

3 months

期刊介绍： Food Additives & Contaminants: Part A publishes original research papers and critical reviews covering analytical methodology, occurrence, persistence, safety evaluation, detoxification and regulatory control of natural and man-made additives and contaminants in the food and animal feed chain. Papers are published in the areas of food additives including flavourings, pesticide and veterinary drug residues, environmental contaminants, plant toxins, mycotoxins, marine biotoxins, trace elements, migration from food packaging, food process contaminants, adulteration, authenticity and allergenicity of foods. Papers are published on animal feed where residues and contaminants can give rise to food safety concerns. Contributions cover chemistry, biochemistry and bioavailability of these substances, factors affecting levels during production, processing, packaging and storage; the development of novel foods and processes; exposure and risk assessment.