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首页> 美国卫生研究院文献>Frontiers in Chemistry >Real-Time Analysis of Potassium in Infant Formula Powder by Data-Driven Laser-Induced Breakdown Spectroscopy
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Real-Time Analysis of Potassium in Infant Formula Powder by Data-Driven Laser-Induced Breakdown Spectroscopy

机译：数据驱动的激光诱导击穿光谱法实时分析婴儿配方粉中的钾

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摘要

Potassium represents one of the most crucial minerals in infant formula that supports healthy growth and development of infants. Here, a novel strategy for the real-time quantification of potassium in infant formula samples is introduced. Using laser-induced breakdown spectroscopy (LIBS) in a data-driven approach, a modified random frog algorithm (MRFA) is adopted in a higher-density discrete wavelet transform (HDWT) domain for the selection of the most important features related to potassium, which is named as DD-LIBS. In DD-LIBS, the HDWT oversamples the LIBS signals in both time and frequency domains by a factor of two, enhancing the spectral expandability in an approximately shift-invariant way. The MRFA is thus capable of isolating the features of potassium with experience accumulated from the collected LIBS data. Such pretreatment combined with a partial least squared (PLS) model can significantly suppress the uncontrolled shift and broadening effects on multivariate calibration, improving the capability of LIBS for accurate quantification of potassium. The present work demonstrates the feasibility of DD-LIBS for the quantification of potassium content of 90 commercial infant formula samples. A satisfactory result illustrates DD-LIBS as a feasible tool for real-time analysis of potassium content with little sample preparation. This strategy may be well extended to other element detection in the presence of uncontrolled interference.
机译：钾代表婴儿配方食品中最关键的矿物质之一，可支持婴儿的健康生长和发育。在这里，介绍了一种实时定量婴儿配方奶粉中钾的新策略。在数据驱动的方法中使用激光诱导击穿光谱（LIBS），在高密度离散小波变换（HDWT）域中采用了改进的随机蛙算法（MRFA），以选择与钾有关的最重要特征，名为DD-LIBS。在DD-LIBS中，HDWT在时域和频域中对LIBS信号进行过采样两倍，从而以近似不变的方式增强了频谱的可扩展性。因此，MRFA能够利用从收集的LIBS数据中积累的经验来分离钾的特征。这种预处理与偏最小二乘（PLS）模型相结合，可以显着抑制不受控制的偏移并扩大对多元校准的影响，从而提高LIBS准确定量钾的能力。本工作证明了DD-LIBS用于定量90种市售婴儿配方奶粉样品中钾含量的可行性。令人满意的结果表明，DD-LIBS是一种无需进行样品前处理即可实时分析钾含量的可行工具。在存在不受控制的干扰的情况下，该策略可以很好地扩展到其他元素检测。

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