食品科学

• 分析检测 • 上一篇    下一篇

基于近红外和中红外光谱技术的小麦粉品质检测及掺杂鉴别方法

徐一茹,刘翠玲*,孙晓荣,吴胜男,董秀丽   

  1. 北京工商大学计算机与信息工程学院,北京 100048
  • 出版日期:2014-06-25 发布日期:2014-07-03
  • 通讯作者: 刘翠玲 E-mail:sim688@163.com
  • 基金资助:

    北京市教委科技计划重点项目(KZ201310011012)

Determination of Wheat Flour Adulteration Based on Near- and Mid-Infrared Spectroscopy

XU Yi-ru, LIU Cui-ling*, SUN Xiao-rong, WU Sheng-nan, DONG Xiu-li   

  1. (School of Computer Science and Information Engineering, Beijing Technology and Business University, Beijing 100048, China)
  • Online:2014-06-25 Published:2014-07-03
  • Contact: LIU Cui-ling E-mail:sim688@163.com

摘要:

针对国家标准法检测小麦粉品质的传统方法存在一定缺陷,提出基于近红外光谱和中红外光谱技术快速检测面粉的方法,并基于偏最小二乘法建立了矫正模型,对小麦粉的灰分、水分、面筋品质指标进行了分析。对于小麦粉的掺杂鉴别问题,基于标准法测光谱距离建立了聚类分析模型,结果表明,可实现对小麦面粉品质的快速检测及掺杂鉴别。

关键词: 小麦粉, 近红外光谱, 中红外光谱, 偏最小二乘法, 聚类分析

Abstract:

A rapid method for the identification of wheat flour adulteration using near- and mid-infrared (NIR-MIR)
spectroscopy was proposed to overcome the shortcomings of the conventional method described in the Chinese national
standard. A calibration model was established using partial least squares regression analysis, and chemical analysis of wheat
flour was performed for ash, moisture and gluten. Moreover, a clustering analysis model was developed based on the spectral
distances measured by the standardized method to identify wheat flour adulteration. Our experimental results confirm that
this NIR-MIR spectroscopic method permits the rapid identification of wheat flour adulteration.

Key words: wheat flour, near-infrared spectroscopy, mid-infrared spectroscopy, partial least squares, cluster analysis

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