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首页> 外文期刊>Journal of Molecular Structure >Rapid analysis and quantification of fluorescent brighteners in wheat flour by Tri-step infrared spectroscopy and computer vision technology
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Rapid analysis and quantification of fluorescent brighteners in wheat flour by Tri-step infrared spectroscopy and computer vision technology

机译:三步红外光谱和计算机视觉技术快速分析和定量分析面粉中的荧光增白剂

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Fluorescent brightener, industrial whitening agent, has been illegally used to whitening wheat flour. In this article, computer vision technology (E-eyes) and colorimetry were employed to investigate color difference among different concentrations of fluorescent brightener in wheat flour using DMS as an example. Tri-step infrared spectroscopy (Fourier transform-infrared spectroscopy coupled with second derivative infrared spectroscopy (SD-IR) and two dimensional correlation infrared spectroscopy (2DCOS-IR)) was used to identify and quantitate DMS in wheat flour. According to color analysis, the whitening effect was significant when added with less than 30 mg/g DMS but when more than 100 mg/g, the flour began greenish. Thus it was speculated that the concentration of DMS should be below 100 mg/g in real flour adulterant with DMS. With the increase of the concentration, the spectral similarity of wheat flour with DMS to DMS standard was increasing. SD-IR peaks at 1153 cm(-1), 1141 cm(-1), 1112 cm(-1), 1085 cm(-1) and 1025 cm(-1) attributed to DMS were regularly enhanced. Furthermore, it could be differentiated by 2DOS-IR between DMS standard and wheat flour added with DMS low to 0.05 mg/g and the bands in the range of 1000-1500 cm(-1) could be an exclusive range to identify whether wheat flour contained DMS. Finally, a quantitative prediction model based on IR spectra was established successfully by Partial least squares (PLS) with a concentration range from 1 mg/g to 100 mg/g. The calibration set gave a determination coefficient of 0.9884 with a standard error (RMSEC) of 5.56 and the validation set presented a determination coefficient of 0.9881 with a standard error of 5.73. It was demonstrated that computer vision technology and colorimetry were effective to estimate the content of DMS in wheat flour and the Tr-step infrared macro-fingerprinting combined with PLS was applicable for rapid and nondestructive fluorescent brightener identification and quantitation. (C) 2015 Elsevier B.V. All rights reserved.
机译:荧光增白剂,工业增白剂,已被非法用于增白小麦粉。本文以计算机视觉技术(E-eyes)和比色法为例,研究了小麦粉中不同浓度的荧光增白剂之间的色差。使用三步红外光谱(傅里叶变换红外光谱结合二阶导数红外光谱(SD-IR)和二维相关红外光谱(2DCOS-IR))来鉴定和定量面粉中的DMS。根据颜色分析,当加入少于30 mg / g DMS时,增白效果显着,但当超过100 mg / g DMS时,面粉开始发绿。因此推测在掺有DMS的真实面粉中DMS的浓度应低于100mg / g。随着浓度的增加,小麦粉与DMS的光谱相似度与DMS标准品的相似度也在增加。定期增强归因于DMS的1153 cm(-1),1141 cm(-1),1112 cm(-1),1085 cm(-1)和1025 cm(-1)的SD-IR峰。此外,通过2DOS-IR可以区分DMS标准品和添加了低至0.05 mg / g DMS的小麦粉,并且1000-1500 cm(-1)范围内的谱带可能是鉴定小麦粉是否专用的范围包含DMS。最后,通过偏最小二乘(PLS)成功建立了基于IR光谱的定量预测模型,其浓度范围为1 mg / g至100 mg / g。校准集的测定系数为0.9884,标准误差(RMSEC)为5.56,验证集的测定系数为0.9881,标准误差为5.73。结果表明,计算机视觉技术和比色法可以有效地估算小麦面粉中DMS的含量,Tr-步红外宏观指纹图谱与PLS结合可用于快速无损荧光增白剂的鉴定和定量。 (C)2015 Elsevier B.V.保留所有权利。

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