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使用激光诱导击穿光谱法(LIBS)对乳制品和奶粉进行定性分析。

Qualitative Analysis of Dairy and Powder Milk Using Laser-Induced Breakdown Spectroscopy (LIBS).

作者信息

Alfarraj Bader A, Sanghapi Herve K, Bhatt Chet R, Yueh Fang Y, Singh Jagdish P

机构信息

1 Institute for Clean Energy Technology and Department of Physics and Astronomy, Mississippi State University, MS, USA.

2 JPS Advanced Technology R&D, Starkville, MS, USA.

出版信息

Appl Spectrosc. 2018 Jan;72(1):89-101. doi: 10.1177/0003702817733264. Epub 2017 Oct 24.

Abstract

Laser-induced breakdown spectroscopy (LIBS) technique was used to compare various types of commercial milk products. Laser-induced breakdown spectroscopy spectra were investigated for the determination of the elemental composition of soy and rice milk powder, dairy milk, and lactose-free dairy milk. The analysis was performed using radiative transitions. Atomic emissions from Ca, K, Na, and Mg lines observed in LIBS spectra of dairy milk were compared. In addition, proteins and fat level in milks can be determined using molecular emissions such as CN bands. Ca concentrations were calculated to be 2.165 ± 0.203 g/L in 1% of dairy milk fat samples and 2.809 ± 0.172 g/L in 2% of dairy milk fat samples using the standard addition method (SAM) with LIBS spectra. Univariate and multivariate statistical analysis methods showed that the contents of major mineral elements were higher in lactose-free dairy milk than those in dairy milk. The principal component analysis (PCA) method was used to discriminate four milk samples depending on their mineral elements concentration. In addition, proteins and fat level in dairy milks were determined using molecular emissions such as CN band. We applied partial least squares regression (PLSR) and simple linear regression (SLR) models to predict levels of milk fat in dairy milk samples. The PLSR model was successfully used to predict levels of milk fat in dairy milk sample with the relative accuracy (RA%) less than 6.62% using CN (0,0) band.

摘要

激光诱导击穿光谱(LIBS)技术被用于比较各类商业奶制品。研究了激光诱导击穿光谱,以测定豆奶、米粉、牛奶和无乳糖牛奶的元素组成。分析通过辐射跃迁进行。比较了牛奶的LIBS光谱中观察到的钙、钾、钠和镁谱线的原子发射。此外,牛奶中的蛋白质和脂肪含量可以使用诸如CN带等分子发射来测定。使用标准加入法(SAM)结合LIBS光谱,计算得出1%乳脂肪含量的牛奶样品中钙浓度为2.165±0.203 g/L,2%乳脂肪含量的牛奶样品中钙浓度为2.809±0.172 g/L。单变量和多变量统计分析方法表明,无乳糖牛奶中主要矿物质元素的含量高于牛奶。主成分分析(PCA)方法用于根据四种牛奶样品的矿物质元素浓度进行区分。此外,使用诸如CN带等分子发射来测定牛奶中的蛋白质和脂肪含量。我们应用偏最小二乘回归(PLSR)和简单线性回归(SLR)模型来预测牛奶样品中的乳脂肪含量。使用CN(0,0)带,PLSR模型成功地用于预测牛奶样品中的乳脂肪含量,相对准确度(RA%)小于6.62%。

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