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Reduction of package-induced error for the composition analysis of in-package liquid products based on transmission spectrum

机译：基于透射光谱减少包装内液体产品成分分析中包装引起的误差

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The influence of packaging on the spectral analysis of in-package liquid products was studied in this work, and a method was proposed to formulate a calibration model to inhibit the effect of different absorptions of the package due to different thicknesses of the package. Based on the characteristics of partial least square regression, the strategy is to construct a model that is insensitive to the thickness variation of the package. This method involves the use of collected spectra for the model establishment under different thicknesses of the package, where the obtained model is found to satisfactorily inhibit the influence of the package thickness variation. An experiment using an Intralipid suspension and India ink as the analyte was designed, and a polyethylene film was used to simulate the packing material of the sample analyte. Analysis of the experimental data shows that the model established via the novel modeling strategy could well inhibit the error caused by variation in the external packaging.
机译：研究了包装对包装内液体产品光谱分析的影响，并提出了一种建立校正模型的方法，以抑制由于包装厚度不同而引起的不同包装吸收的影响。基于偏最小二乘回归的特征，该策略是构建一个对包装厚度变化不敏感的模型。此方法涉及在包装的不同厚度下使用收集的光谱进行模型建立，其中发现获得的模型可以令人满意地抑制包装厚度变化的影响。设计了一种使用脂内悬浮液和印度墨水作为分析物的实验，并使用聚乙烯膜模拟了样品分析物的填充材料。对实验数据的分析表明，通过新颖的建模策略建立的模型可以很好地抑制由外包装变化引起的误差。

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