The miniaturisation of analytical devices, reduction of analytical data acquisition time, or the reduction of waste generation throughout the analytical process are important requirements of modern analytical chemistry, and in particular of green analytical chemistry. Green analytical chemistry has fostered the development of a new generation of miniaturized near-infrared spectroscopy (NIR) spectrometric systems. However, one of the drawbacks of these systems is the need for a compromise between the performance parameters (accuracy and sensitivity) and the aforementioned requirements of green analytical chemistry. In this paper, we evaluated the capabilities of two recently developed portable NIR instruments (SCiO and NeoSpectra) to achieve a rapid, simple and low-cost quantitative determination of commercial milk macronutrients. Commercial milk samples from Italy, Switzerland and Spain were chosen, covering the maximum range of variability in protein, carbohydrate and fat content, and multivariate calibration was used to correlate the recorded spectra with the macronutrient content of milk. Both SCiO and NeoSpectra can provide a fast and reliable analysis of fats in commercial milk, and they are able to correctly classify milk according to fat level. SCiO can also provide predictions of protein content and classification according to presence or absence of lactose.

中文翻译：

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使用低成本袖珍NIR光谱仪和多元分析对牛奶进行快速分析。

分析设备的小型化，减少分析数据的获取时间或减少整个分析过程中产生的废物是现代分析化学，尤其是绿色分析化学的重要要求。绿色分析化学促进了新一代小型化近红外光谱（NIR）光谱系统的发展。但是，这些系统的缺点之一是需要在性能参数（精度和灵敏度）与上述绿色分析化学要求之间取得折衷。在本文中，我们评估了两种最新开发的便携式NIR仪器（SCiO和NeoSpectra）的功能，以实现快速，简单和低成本的定量测定商业牛奶中的大量营养素。选择了来自意大利，瑞士和西班牙的商业牛奶样品，这些样品涵盖了蛋白质，碳水化合物和脂肪含量的最大变化范围，并且使用多元校正将记录的光谱与牛奶中的大量营养成分相关联。SCiO和NeoSpectra都可以提供快速，可靠的商品牛奶中脂肪分析，并且它们能够根据脂肪水平正确分类牛奶。SC 10还可以根据乳糖的存在与否提供蛋白质含量和分类的预测。SCiO和NeoSpectra都可以提供快速，可靠的商品牛奶中脂肪分析，并且它们能够根据脂肪水平正确分类牛奶。SC 10还可以根据乳糖的存在与否提供蛋白质含量和分类的预测。SCiO和NeoSpectra都可以提供快速，可靠的商品牛奶中脂肪分析，并且它们能够根据脂肪水平正确分类牛奶。SC 10还可以根据乳糖的存在与否提供蛋白质含量和分类的预测。