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基于近红外光谱快速定量检测面粉中曲酸的方法建立

赵昕 张任 王伟 李春阳

食品科学2018,Vol.39Issue(8):249-255,7.
食品科学2018,Vol.39Issue(8):249-255,7.DOI:10.7506/spkx1002-6630-201808039

基于近红外光谱快速定量检测面粉中曲酸的方法建立

Using Near-Infrared (NIR) Spectroscopy for Rapid, Quantitative Detection of Kojic Acid in Wheat Flour

赵昕 1张任 2王伟 3李春阳1

作者信息

  • 1. 中国农业大学工学院,北京 100083
  • 2. 赣南医学院赣南油茶产业开发协同创新中心,江西 赣州 341000
  • 3. 塔里木大学信息工程学院,新疆 阿拉尔 843300
  • 折叠

摘要

Abstract

The viability of using near-infrared (NIR) spectroscopy to detect illegally added kojic acid (KA) as a browning inhibitor in wheat flour was studied. For this purpose, three common types of commercial flour, i.e., high-gluten flour, plain flour and low-gluten flour, were added with different amounts of KA (0.0%, 0.5%, 1.0%, 3.0%, 5.0%, and 10.0%), respectively. NIR spectra of all samples were collected in the wavelength range of 1 000-2 400 nm. For high-gluten flour samples, three common spectral preprocessing methods were compared with each other, as well as with non-preprocessing using partial least squares (PLS) regression. Savitzky-Golay derivative (SGD) was found to be the best preprocessing method. Then interval partial least squares (iPLS) was adopted to obtain optimized spectral interval in the wavelength range from 1 088.8 to 1 153.5 nm. The PLS model based on the optimal spectral interval showed better performance than that in the full wavelength range. Moreover, a PLS model was developed based on the optimal spectral interval for plain flour, low-gluten flour and a mixture of all three types, respectively. The models for all three types of flour and their mixture showed a determination coefficient (R2) of 0.949-0.972, a root mean square error (RMSE) of 0.581%-0.830%, and a ratio of standard deviation of the validation set to standard error of prediction (RPD) of 4.171-4.830. The model exhibited a good prediction performance for wheat samples with KA contents of 1.0%-10.0%. These results indicated that NIR spectroscopy could be used as an auxiliary method for precise chemical detection to improve the detection efficiency for massive samples.

关键词

曲酸/面粉/近红外光谱/偏最小二乘回归/区间偏最小二乘回归

Key words

kojic acid/wheat flour/near-infrared (NIR) spectroscopy/partial least squares (PLS)/interval partial least squares (iPLS)

分类

轻工纺织

引用本文复制引用

赵昕,张任,王伟,李春阳..基于近红外光谱快速定量检测面粉中曲酸的方法建立[J].食品科学,2018,39(8):249-255,7.

基金项目

"十二五"国家科技支撑计划项目(2012BAK08B04) (2012BAK08B04)

赣南油茶产业开发协同创新中心PI项目(YP201606) (YP201606)

食品科学

OA北大核心CSCDCSTPCD

1002-6630

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