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Determination of aflatoxin level in peanut paste using Fourier transform mid-infrared spectroscopy with attenuated total reflection

机译:全反射衰减傅里叶变换中红外光谱法测定花生酱中黄曲霉毒素的含量

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A detection and quantification method for the aflatoxin content in peanuts by rapid and non-destructiveassessment of Fourier Transform Infrared Spectroscopy (FTIR) equipped with Attenuated Total Reflectance cell(ATR) was developed. Aflatoxins are fungal bio-agents that merit attention on account of being highly toxic andcarcinogenic to humans and great treat to vulnerable agricultural commodities such as peanuts. Thus, a deductionmethod to evaluate peanuts for aflatoxin contamination is necessary. FTIR-ATR spectral data of peanut pastesamples contaminated at varying levels of aflatoxin were preprocessed (mean-centering, smoothing the 1stderivative), and normalized with logarithmic method and used for the partial least square (PLS) regressionanalysis for training/prediction sample sets created by spiking known amount of aflatoxins with clean peanutpaste. After data manipulation, PLS approaches were tested for the full and reduced spectra by using “leave oneout” cross-validation method. Major peaks representing the structural vibrations of peanut were selected andresults were ranked to determine spectral features describing the minor contributions of aflatoxin molecules inbulk peanut paste medium. The highest correlation coefficient of determination (R_C~2) and the lowest root meansquarederror of calibration (RMSEC) and cross validation (RMSECV) were determined as 99.42%, 4.90 ppband 22.45 ppb, respectively. Analyzing the data in the spectral regions 1584-1484 and 1424-1127 cm~(-1) hasimproved the prediction error (RMSEP = 12.84 ppb), but on the cost of lower R_C~2 (97.01%). For moderateresults, selected spectral regions (3028-2752, 1800-1707, 1584-1424, and 1408-1127 cm~(-1)) were considered andcorresponding vibration modes and intensities were labeled.
机译:快速无损检测检测花生中黄曲霉毒素含量的方法 衰减全反射池的傅立叶变换红外光谱(FTIR)评估 (ATR)已开发。黄曲霉毒素是一种真菌生物制剂,因其高毒性和高纯度而值得关注。 对人类有致癌作用,对脆弱的农业商品(如花生)也有极大的帮助。因此,推论 评估花生中黄曲霉毒素污染的方法是必要的。花生酱的FTIR-ATR光谱数据 预处理了受不同水平黄曲霉毒素污染的样品(均值居中,平滑第1次 导数),并用对数方法归一化,并用于偏最小二乘(PLS)回归 通过将已知量的黄曲霉毒素与干净的花生加标而创建的训练/预测样本集的分析 粘贴。经过数据处理后,通过使用“保留一个”来测试PLS方法的完整光谱和缩减光谱 out”交叉验证方法。选择代表花生结构振动的主峰,并 对结果进行排名以确定光谱特征,这些光谱特征描述了黄曲霉毒素分子在水中的微小贡献。 散装花生酱培养基。确定的最高相关系数(R_C〜2)和最低的均方根 校准误差(RMSEC)和交叉验证(RMSECV)被确定为99.42%,4.90 ppb 和22.45 ppb。分析光谱区域1584-1484和1424-1127 cm〜(-1)中的数据具有 改善了预测误差(RMSEP = 12.84 ppb),但降低了R_C〜2(97.01%)的成本。中度 结果,考虑了选定的光谱区域(3028-2752、1800-1707、1584-1424和1408-1127 cm〜(-1)),并 标记了相应的振动模式和强度。

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