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二阶多元校正与荧光光谱联用测定咖啡和茶样品中的赭曲霉毒素A

Determination of ochratoxin A in coffee and tea samples by coupling second-order multivariate calibration and fluorescence spectroscopy.

作者信息

Gonzalez Albani L, Lozano Valeria A, Escandar Graciela M, Bravo Manuel A

机构信息

Laboratorio de Química Analítica y Ambiental, Instituto de Química, Facultad de Ciencias, Pontificia Universidad Católica de Valparaíso, Avenida Brasil, 2950, Valparaíso, Chile.

Instituto de Química Rosario (CONICET-UNR), Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Suipacha 531, 2000, Rosario, Argentina.

出版信息

Talanta. 2020 Nov 1;219:121288. doi: 10.1016/j.talanta.2020.121288. Epub 2020 Jun 16.

Abstract

A new method to quantify the mycotoxin ochratoxin A (OTA) in coffee and tea samples is proposed based on second-order multivariate calibration and excitation-emission fluorescence matrix (EEFM) data. Experimental conditions were optimized by studying the effect of pH and various organized media on the fluorescence signal of OTA. For each analysed matrix (coffee grains and tea leaves), several sample pretreatments and calibration methods (external or standard addition) and data processing by chemometric models (e.g., parallel factor analysis/PARAFAC and multivariate curve resolution-alternating least squares/MCR-ALS) were evaluated and discussed. The MCR-ALS algorithm provided an adequate fit to the data for both samples, while PARAFAC was satisfactory only for the tea samples. Regarding the figures of merit, the limits of detection were in the range of 0.2-0.3 ng mL; furthermore, low relative prediction errors, between 2% and 4%, were achieved in both the fortified and real samples. Accordingly, the proposed methodology was applied to analyse fortified roasted and green coffee and real tea leaf samples. Satisfactory recoveries were achieved (ranging from 92 to 110%), and the obtained concentrations were in agreement with the values obtained by the reference method (based on high-performance liquid chromatography with fluorescence detection/HPLC-FLD). In addition, all samples contained OTA levels lower than the maximum permissible levels. Finally, the proposed strategy allows the use of green analytical chemistry principles; for instance, the use of organic solvents and the generation of waste products were significantly lower than for similar analytical methods reported in the literature.

摘要

基于二阶多元校正和激发发射荧光矩阵(EEFM)数据,提出了一种定量测定咖啡和茶样品中霉菌毒素赭曲霉毒素A(OTA)的新方法。通过研究pH值和各种有机介质对OTA荧光信号的影响,优化了实验条件。对于每种分析基质(咖啡颗粒和茶叶),评估并讨论了几种样品预处理和校准方法(外部校准或标准加入法)以及化学计量学模型的数据处理方法(例如,平行因子分析/PARAFAC和多元曲线分辨交替最小二乘法/MCR-ALS)。MCR-ALS算法对两个样品的数据拟合效果良好,而PARAFAC仅对茶叶样品令人满意。在品质因数方面,检测限在0.2 - 0.3 ng/mL范围内;此外,在加标样品和实际样品中均实现了2%至4%的低相对预测误差。因此,将所提出的方法应用于分析加标烘焙咖啡、生咖啡和实际茶叶样品。回收率令人满意(范围为92%至110%),获得的浓度与参考方法(基于高效液相色谱-荧光检测/HPLC-FLD)获得的值一致。此外,所有样品中的OTA含量均低于最大允许水平。最后,所提出的策略符合绿色分析化学原则;例如,有机溶剂的使用和废物的产生明显低于文献中报道的类似分析方法。

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