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ATR-MIR spectroscopy to predict commercial milk major components: A comparison between a handheld and a benchtop instrument

机译:ATR-MIR光谱预测商业牛奶主要组件:手持电池和台式仪器之间的比较

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There is a growing need of measurement technologies that can be used close to the sample source and optical spectroscopy is an excellent example of this genre of technology: from the lab to the field. This study investigates the possibility to quantify the major components and to detect the presence or absence of lactose in commercial milks with ATR-MIR spectroscopy. We explored the possibility to use a portable and economical ATR-MIR instrument, comparing the results with a benchtop system. Commercial milk samples from Italy, Switzerland and Spain were chosen covering the maximum range of variation for protein, carbohydrate and fat content. The analytical protocol was optimized to make it as fast and useable as possible for both instruments, from the sample pretreatment to the instrumental parameters. Multivariate calibration was used to correlate the recorded spectra to the content of the major milk components, while a classification was done in order to classify samples with or without lactose. A comparison was performed between the predictive capabilities of the models built with different data pretreatments, different variable selection methods and different validation systems to obtain the best results and to assure robust models.
机译:越来越多地需要测量技术,可以靠近样本源和光学光谱,是这种技术类型的一个优秀的例子:从实验室到现场。本研究调查了量化主要成分的可能性,并检测具有ATR-miR光谱法的商业阵雨中的乳糖的存在或不存在。我们探讨了使用便携式和经济的ATR-MIR仪器的可能性,将结果与台式系统进行比较。选用意大利,瑞士和西班牙的商业牛奶样品覆盖蛋白质,碳水化合物和脂肪含量的最大变化范围。分析方案经过优化,使其尽可能快速且可用,从样品预处理到仪器参数。多变量校准用于将记录的光谱与主要乳成分的含量相关联,同时进行分类,以便在有或不含乳糖的情况下对样品进行分类。在用不同数据预处理,不同的可变选择方法和不同验证系统构建的模型的预测能力之间进行了比较,以获得最佳结果并确保强大的模型。

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