Detection of Aflatoxins B1, B2, G1 and G2 in Nutmeg Extract Using Fluorescence Fingerprint

Detection of Aflatoxins B1, B2, G1 and G2 in Nutmeg Extract Using Fluorescence Fingerprint
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荧光指纹图谱检测肉豆蔻提取物中黄曲霉毒素B1、B2、G1和G2

DOI:
10.3136/fstr.19.539
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发表时间:
2013
影响因子:
0.6
通讯作者:
Takehito Sagawa
Takehito Sagawa
中科院分区:
农林科学4区
文献类型:
--
作者:
K. Fujita;J. Sugiyama;Mizuki Tsuta;Mario Shibata;Mito Kokawa;Onda Hiroyuki;Takehito Sagawa

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利用荧光指纹图谱(FF)和偏最小二乘(PLS)回归建立了一种快速预测肉豆蔻提取物中总黄曲霉毒素(黄曲霉毒素B1、B2、G1和G2)的方法。FF也被称为激发-发射矩阵,其是通过扫描激发波长获得的一系列荧光光谱。肉豆蔻提取物人工掺入黄曲霉毒素试剂。用荧光分光光度计测量掺加肉豆蔻提取物的FF。预处理FF数据以去除与荧光无关的信号。预处理后,5041个荧光强度中的1428个保留下来。将它们作为PLS回归的解释变量。然后,将总黄曲霉毒素浓度设定为响应变量。21份样品中的11份用作校准数据集;其余10份用作验证数据集。三个潜在变量被用来建立理想的PLS模型的交叉验证。对于校准数据集,R为0.993,SEC为0.2 μg/L。验证数据集的实际值和预测值之间观察到显著相关性,R为0.773,SEP为1.0 μg/L。偏最小二乘回归系数反映了各波长对模型的贡献程度,表明预测主要是基于黄曲霉毒素本身的荧光。
A rapid method for predicting total aflatoxin (aflatoxins B1, B2, G1, and G2) in nutmeg extract was developed using fluorescence fingerprint (FF) and partial least squares (PLS) regression. FF is also known as excitation-emission matrix, which is a series of fluorescence spectra acquired by scanning an excitation wavelength. Nutmeg extract was artificially spiked with an aflatoxin reagent. The FF of spiked nutmeg extract was measured with a fluorescence spectrometer. The FF data was preprocessed to remove signals not related to fluorescence. After preprocessing, 1428 out of 5041 fluorescence intensities remained. They were set as explanatory variables for PLS regression. Then, total aflatoxin concentration was set as the response variable. Eleven out of 21 samples were used as the calibration dataset; the remaining ten were used as the validation dataset. Three latent variables were used to develop the ideal PLS model by cross validation. R was 0.993 and SEC was 0.2 μg/L for the calibration dataset. Significant correlations were observed between the actual and predicted values for the validation dataset, with R of 0.773 and SEP of 1.0 μg/L. The PLS regression coefficient, which shows the degree of contribution of each wavelength to the model, indicated that the prediction was mainly based on the fluorescence of aflatoxin itself.
通过激发发射矩阵成像三维可视化大豆种子发芽过程中的内部结构变化
DOI: --
发表时间: 2007
期刊: Transactions of the ASABE 50(6)
影响因子: --
作者:
M. Tsuta;K. Miyashita;T. Suzuki;S. Nakauchi;Y. Sagara;J. Sugiyama
通讯作者: J. Sugiyama