当前位置: X-MOL 学术Spectrochim. Acta. A Mol. Biomol. Spectrosc. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Study of photodegradation kinetics of aflatoxins in cereals using trilinear component modeling of excitation-emission matrix fluorescence data.
Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy ( IF 4.3 ) Pub Date : 2020-03-16 , DOI: 10.1016/j.saa.2020.118266
Zhi Liu 1 , Huiyu Zhao 2 , Guilin Yang 2 , Kaiyu He 2 , Xiaodong Sun 3 , Ziyan Wang 2 , Dou Wang 2 , Jing Qiu 4
Affiliation  

In this work, a smart analytical strategy that combines excitation-emission matrix (EEM) fluorescence detection with alternating trilinear decomposition (ATLD) algorithm was developed for fast, on-line and interference-free study on the photodegradation kinetics of aflatoxin B1 (AFB1) and aflatoxin G1 (AFG1) in rice and wheat under UV-Vis light (λ = 250-500 nm) treatment. With the aid of prominent "second-order advantage" of ATLD method, pure fluorescence signals of two targeted analytes can be directly resolved out from heavily overlapping spectral environment and accurately quantified even in the presence of unknown matrix interferences. Cereal samples in kinetic processing of photodegradation were detected without complex pretreatment steps except for a simple extraction using methanol/water solution (4:1, v/v), which solves the problem facing varied matrix interferences in the case of on-line monitoring of aflatoxins. The kinetic signals of analytes of interest were directly extracted regardless of varied matrix backgrounds of various cereals. The kinetic curves and degradation speeds of AFB1 and AFG1 can be estimated by resolved quantitative data, optimal radiation conditions including 365 nm wavelength and 35 J m-2 density were discussed for high-efficiency detoxification control of aflatoxins in rice and wheat. This strategy was promising to be as an alternative tool for eco-friendly photodegradation kinetic study of mycotoxins or other hazards in complex foodstuff matrixes.

中文翻译:

使用激发-发射矩阵荧光数据的三线性组件模型研究谷物中黄曲霉毒素的光降解动力学。

在这项工作中,开发了一种结合激发-发射矩阵(EEM)荧光检测和交替三线性分解(ATLD)算法的智能分析策略,用于快速,在线和无干扰地研究黄曲霉毒素B1(AFB1)的光降解动力学。在紫外线-可见光(λ= 250-500 nm)处理下的大米和小麦中的黄曲霉毒素G1(AFG1)。借助ATLD方法的突出“二阶优势”,即使在存在未知基质干扰的情况下,也可以从重迭的光谱环境中直接分辨出两种目标分析物的纯荧光信号,并进行准确定量。除了使用甲醇/水溶液(4:1,v / v)进行简单提取外,无需复杂的预处理步骤即可检测到光降解动力学过程中的谷物样品,这解决了在线监测黄曲霉毒素时面临的各种基质干扰的问题。无论各种谷物的基质背景如何,都可以直接提取目标分析物的动力学信号。可以通过解析的定量数据估算AFB1和AFG1的动力学曲线和降解速度,并讨论了包括365 nm波长和35 J m-2密度的最佳辐射条件,以实现稻米和小麦中黄曲霉毒素的高效排毒控制。该策略有望作为一种替代工具,用于对真菌毒素或复杂食品基质中的其他危害进行生态友好的光降解动力学研究。无论各种谷物的基质背景如何,都可以直接提取目标分析物的动力学信号。通过解析的定量数据可以估算AFB1和AFG1的动力学曲线和降解速度,讨论了包括365 nm波长和35 J m-2密度在内的最佳辐射条件,用于高效稻米和黄曲霉毒素的排毒控制。该策略有望作为一种替代工具,用于对真菌毒素或复杂食品基质中的其他危害进行生态友好的光降解动力学研究。不管各种谷物的基质背景如何,都可以直接提取目标分析物的动力学信号。可以通过解析的定量数据估算AFB1和AFG1的动力学曲线和降解速度,并讨论了包括365 nm波长和35 J m-2密度的最佳辐射条件,以实现稻米和小麦中黄曲霉毒素的高效排毒控制。该策略有望作为一种替代工具,用于对真菌毒素或复杂食品基质中的其他危害进行生态友好的光降解动力学研究。讨论了包括稻米和小麦中黄曲霉毒素的高效排毒控制在内的最佳辐射条件,包括365 nm波长和35 J m-2密度。该策略有望作为一种替代工具,用于对真菌毒素或复杂食品基质中的其他危害进行生态友好的光降解动力学研究。讨论了包括稻米和小麦中黄曲霉毒素的高效排毒控制在内的最佳辐射条件,包括365 nm波长和35 J m-2密度。该策略有望作为一种替代工具,用于对真菌毒素或复杂食品基质中的其他危害进行生态友好的光降解动力学研究。
更新日期:2020-03-16
down
wechat
bug