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使用口袋尺寸的光谱仪和机器学习技术,非侵入性预测澳门粉末造

John-Lewis Zinia Zaukuu¹, Zeenatu Suglo Adams^2,3, Nana Ama Donkor-Boateng^2,4

¹Department of Food Science and Technology, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana. zaukuu.jz@knust.edu.gh.

Scientific reports

|May 7, 2024

概括

近红外光谱 (NIRS) 可以检测到粉 (MP) 与大豆和玉米面粉的改. 这种非侵入性技术可以准确地识别不同种类的,并量化杂物含量,确保产品质量.

科学领域:

分析化学分析化学
食品科学食品科学食品科学
频谱学是一种光谱学.

背景情况:

玛卡粉 (MP) 与玉米和大豆面粉等更便宜的成分的改是一个重要的质量控制挑战.
缺乏非侵入性技术来验证MP的真实性,特别是区分其品种 (红色,黑色,黄色).
开发快速可靠的检测伪造方法对于消费者安全和市场完整至关重要.

研究的目的:

开发和验证近红外光谱学 (NIRS) 模型,用于对粉种类进行分类.
使用NIRS.检测和量化粉与大豆和玉米面粉的改.
评估NIRS在区分不同种类的和杂质类型方面的有效性.

主要方法:

使用手持式光谱仪进行近红外光谱 (NIRS) 数据采集.
采用化学测量方法来构建分类和预测模型.
测试了各种样品预处理 (18种类型) 以优化粉认证模型性能.

主要成果:

在黄色的粉中精确地分类了大豆和玉米面粉的改,其性能比红色的粉更好.
与玉米面粉相比,大豆面粉被确定为一种更强大的杂质.
在进行了18次预处理后,NIRS模型对粉具有很高的认证准确性 (R²_CV 0.91-0.95).

结论:

近红外光谱 (NIRS) 是一种可行的非侵入性技术,用于区分粉种类.
NIRS有效地检测和量化了粉与大豆和玉米面粉的改.
该研究强调了NIRS在日常质量控制和监测澳门粉末真实性的潜力.

关键词:

奸淫的行为奸淫的行为化学测量化学测量化学测量在这里,我们可以看到Maca Maca Maca Maca.接近红外的近红外线在 Spectra 预处理过程中.

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