基于四参数Logistic模型的光波导光模光谱法测定黄曲霉毒素B1的检出限

G. Uba, H. Yakasai, A. Abubakar
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引用次数: 1

摘要

真菌毒素是由多种真菌产生的有害次生代谢物,可在大量食品和饲料商品以及食用受感染饲料的动物的加工肉类中发现。许多真菌毒素具有极强的耐药性,在食品加工过程中存活下来,进入食物链,对人类健康构成威胁。采用光波导光模光谱法(owl)检测植物样品基质中的黄曲霉毒素B1。“光波导光模光谱法”(owl)检测黄曲霉毒素B1的校准曲线呈s形;因此,应该使用5-PL或4-PL模型来拟合数据,而不是线性模型。使用AICc、HQC、BIC、RMSE、adjR2、Bias Factor和Accuracy Factor等函数进行误差函数分析,发现5-PL和4-Pl模型的区别不一致。LogEC50值的重叠置信区间表明,两种技术差异不大,选择4-PL模型是由于其参数数量较少。4-PL方程对黄曲霉毒素B1的检出限为8.787 ng/mL, 95%可信区间为5.728 ~ 13.100。在本研究中,4-PL模型的使用是成功的,并且能够代表整个日期曲线,而不仅仅是线性部分。线性分量对于评估已开发生物传感器技术的灵敏度来说是一种方便快捷的方法,对于现场应用来说,当需要快速直接的评估时,线性分量通常是一种更有益的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Limits of Detection Determination of Aflatoxin B1 using the Optical Waveguide Lightmode Spectroscopy via the Four-Parameter Logistic Model
Mycotoxins are harmful secondary metabolites generated by a variety of fungi, and they may be found in a vast array of food and feed commodities and processed meats from animals fed infected meal. Numerous mycotoxins are extremely resistant and survive food processing, entering the food chain and posing a concern to human health. The "optical waveguide lightmode spectroscopy" (OWLS) method was used to detect aflatoxin B1 in plant sample matrices. The calibration curve for the detection of aflatoxin B1 utilizing "optical waveguide lightmode spectroscopy" (OWLS) displayed a sigmoidal shape; hence, the 5-PL or 4-PL model should be used to fit the data rather than a linear model. Using error function analysis with functions such as AICc, HQC, BIC, RMSE, adjR2, Bias Factor, and Accuracy Factor, the 5-PL and 4-Pl models are distinguished inconsistently. The overlapping confidence intervals of the LogEC50 values suggested that the two techniques did not differ much, and the 4-PL model was selected due to its smaller number of parameters. The Limits of Detection for aflatoxin B1 value based on the 4-PL equation was 8.787 ng/mL with the 95% confidence interval from 5.728 to 13.100. In this study, the use of the 4-PL model was successful and was able to represent the entire date curve, not only the linear section. The linear component is crucial as a handy and swift approach for assessing the sensitivity of a developed biosensor technology and is often a more beneficial method for field applications when a quick and straightforward evaluation is required.
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