Agricultural Product Processing and Storage Lab, School of Food and Biological Engineering, Jiangsu University, Zhenjiang, China.
International Joint Research Laboratory of Intelligent Agriculture and Agri-Products Processing (Jiangsu University), Jiangsu Education Department, Zhenjiang, China.
J Sci Food Agric. 2023 Jul;103(9):4545-4552. doi: 10.1002/jsfa.12528. Epub 2023 Mar 21.
The presence of foreign materials (FM) not only reduces the commercial value of tobacco and the quality of cigarette products, but also affects the aroma and flavor of cigarettes. Existing tobacco deblending equipment has received little study with respect to homochromatic FM. In the present study, visible-near infrared (VIS-NIR) hyperspectral imaging technique combined with chemometrics were used to identify and visualize the homochromatic FM on the surface of thining tobacco. A comparison with conventional vision method was made to analyze the feasibility of the method. The importance of detecting FM in cut tobacco was further demonstrated by first studying the volatile organic compounds produced in cigarette mixed FM smoke and their effects on human health before conducting hyperspectral experiments.
The results indicated that solid-phase microextraction and gas chromatography mass spectrometry could detect volatile organic compounds in mainstream cigarette smoke that were not cigarette components and affected consumer health. Then, spectral features of the samples were extracted from hyperspectral images for building identification models to distinguish FM from cut tobacco. The visual RGB values of cut tobacco and FM were also used for the analysis of the recognition models. The results showed that the accuracy, precision and recall reached 100.00% using the back propagation artificial neural network classification model based on the principal component analysis raw wavelengths. The visualization results based on the optimal model produced clearer localization than conventional computer vision method.
The present study revealed that the VIS-NIR hyperspectral imaging technology had advantage in the detection and localization of FM on the surface of thinning tobacco, which provided a foundation for improving the quality and safety of cut tobacco production. © 2023 Society of Chemical Industry.
异物（FM）的存在不仅降低了烟草的商业价值和卷烟产品的质量，而且影响了卷烟的香气和味道。现有的烟草打叶复烤设备对同色 FM 的研究还很少。本研究采用可见-近红外（VIS-NIR）高光谱成像技术结合化学计量学，对打叶复烤过程中薄片烟表面的同色 FM 进行识别和可视化。与传统视觉方法进行了比较，分析了该方法的可行性。在进行高光谱实验之前，首先研究了卷烟混合 FM 烟雾中产生的挥发性有机化合物及其对人体健康的影响，进一步证明了检测切烟中 FM 的重要性。
结果表明，固相微萃取和气相色谱质谱法可以检测主流卷烟烟雾中的挥发性有机化合物，这些化合物不是卷烟成分，会影响消费者健康。然后，从高光谱图像中提取样品的光谱特征，建立识别模型，以区分 FM 和切烟。还使用切烟和 FM 的可见 RGB 值对识别模型进行了分析。结果表明，基于主成分分析原始波长的反向传播人工神经网络分类模型的准确率、精密度和召回率达到 100.00%。基于最优模型的可视化结果比传统计算机视觉方法的定位更清晰。
本研究表明，VIS-NIR 高光谱成像技术在检测和定位薄片烟表面的 FM 方面具有优势，为提高切烟生产的质量和安全性提供了基础。 © 2023 化学工业协会。
