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多种NIR光谱仪的比较,用于检测蛋白质粉中的低度基造物

Matyas Lukacs¹, John-Lewis Zinia Zaukuu², George Bazar³

¹Department of Food Measurement and Process Control, Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences, 1118 Budapest, Hungary.

Molecules (Basel, Switzerland)

|February 24, 2024

概括

近红外光谱 (NIRS) 能够有效地检测蛋白质粉中的低水平改. 一个格子光谱仪实现了高精度,显示NIRS是可行的食品安全质量控制工具.

科学领域:

食品科学食品科学食品科学
分析化学分析化学
频谱学是一种光谱学.

背景情况:

蛋白质造是食品工业中普遍存在的问题,其原因是经济因素和蛋白质稀缺.
目前的方法,如总的确定不能区分蛋白质与非蛋白质来源,限制其在检测欺诈的有效性.
开发快速可靠的方法来检测蛋白质丰富的食品中的伪造物对于消费者安全和行业完整性至关重要.

研究的目的:

为了比较不同近红外光谱仪 (NIRS) 和信号处理技术的有效性,用于检测蛋白质粉中低度 adulterants.
评估NIRS在识别乳清,牛肉和豆蛋白质矩阵中的特定 adulterants,如胺,尿素,氨酸和糖氨酸的性能.
通过使用NIRS来确定其灵敏度,确定伪造物的检测极限 (LOD) 和量化极限 (LOQ).

主要方法:

使用了三台台板和一台手持近红外光谱仪 (NIRS),采用格子,富里埃变换和MEM微电机系统技术.
通过造乳清,牛肉和豆蛋白粉末,以不同度的胺,尿素,牛和甘氨酸,制备了819个样本.
应用化学测量工具和光谱预处理技术来构建伪造剂度的预测模型,并评估LOD/LOQ.

主要成果:

格子座椅光谱仪产生了最准确的预测模型,达到0.96.9的R2P值.
这种方法显示了接近0.1%的检测极限 (LOD) 对胺和尿素 adulterants.
不同的NIRS设备和信号处理方法在预测杂剂度方面表现出不同程度的成功.

结论:

近红外光谱 (NIRS),特别是与化学测量和光谱预处理相结合时,在检测蛋白质改方面显示出显著的希望.
格子座椅光谱仪提供了一种高度灵敏和准确的方法,用于在低水平上识别常见的伪造物.
可以将NIRS作为一种通用和有效的质量控制工具来确保蛋白质粉末的真实性和安全性.

关键词:

化学测量方法化学测量方法食品欺诈行为食品欺诈行为这是一款手持NIRS手提NIRS.氨酸是什么意思? 氨酸是什么意思?接近红外光谱学近红外光谱学质量控制质量控制质量控制乳清蛋白是一种乳清蛋白质.

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