红外光谱法结合化学计量学对快递包装纸盒的检验研究

目的 研究一种红外光谱法与化学计量学相结合的方法，以对现场提取的快递包装纸盒样品进行快速检验分类。方法 利用红外光谱法对53个快递包装纸盒样品进行检验，依据其主要填料差异进行分类，并利用系统聚类进行分组。基于该分组，训练随机森林模型、多层感知器判别、Fisher判别3种预测模型，实现对新样品组别的分类预测。结果 53个快递包装纸盒样品被分为3类，而后进一步细分为9组，训练得到的3种判别模型中的Fisher判别预测准确率较高。结论 该检验方法快速、无损、准确，依据化学计量学实现对快递包装纸盒样品的快速检验，为公安机关检验此类物证提供依据。

Inspection of Express Cartons by Infrared Spectroscopy Combined with Chemometrics

The work aims to develop a methodcombining infrared spectroscopy with chemometrics to achieve rapid inspection and classification of express carton samples on site. 53 samples of express cartons were inspected by infrared spectroscopy and classified according to the differences of their main fillers, and then grouped by clustering method. According to the grouping results, random forest, multi-layered perceptron and Fisher discriminant analysis were established to realize the prediction of new sample groups. 53 express carton samples were divided into 3 categories, and then subdivided into 9 groups, and Fisher discriminant method could achieve more accurate prediction. The inspection method is rapid, non-destructive, accurate, and realizes the rapid inspection of express carton samples based on chemometrics, which provides a basis for public security organs to examine such material evidence.