Tobacco adulteration recognition study by hyperspectral data processing under machine learning

[1] [1] Jiang, Z., Tian, Z., Zhang, C., Li, D., Wu, R., Tian, N., & Ma, L. (2022). Recent advances in speciation analyses of tobacco and other important economic crops. Current Analytical Chemistry, 18(5), 518-528. Jiang Z. Tian Z. Zhang C. Li D. Wu R. Tian N. Ma L. ( 2022 ). Recent advances in speciation analyses of tobacco and other important economic crops . Current Analytical Chemistry , 18 ( 5 ), 518 - 528 . Search in Google Scholar

[2] [2] Miao, H., Wang, Y., & Yang, X. (2018). Carbon dots derived from tobacco for visually distinguishing and detecting three kinds of tetracyclines. Nanoscale, 10(17), 8139-8145. Miao H. Wang Y. Yang X. ( 2018 ). Carbon dots derived from tobacco for visually distinguishing and detecting three kinds of tetracyclines . Nanoscale , 10 ( 17 ), 8139 - 8145 . Search in Google Scholar

[3] [3] Fekhar, M., Daghbouche, Y., Bouzidi, N., & El Hattab, M. (2024). Rapid assessment of smokeless tobacco quality parameters using ATR-FT-MIR spectroscopy: Comparison of analytical/mathematical and machine learning approaches. Microchemical Journal, 201, 110670. Fekhar M. Daghbouche Y. Bouzidi N. El Hattab M. ( 2024 ). Rapid assessment of smokeless tobacco quality parameters using ATR-FT-MIR spectroscopy: Comparison of analytical/mathematical and machine learning approaches . Microchemical Journal , 201 , 110670 . Search in Google Scholar

[4] [4] Soon, J. M., & Abdul Wahab, I. R. (2022). A Bayesian approach to predict food fraud type and point of adulteration. Foods, 11(3), 328. Soon J. M. Abdul Wahab I. R. ( 2022 ). A Bayesian approach to predict food fraud type and point of adulteration . Foods , 11 ( 3 ), 328 . Search in Google Scholar

[5] [5] Xiang, B., Cheng, C., Xia, J., Tang, L., Mu, J., & Bi, Y. (2020). Simultaneous identification of geographical origin and grade of flue-cured tobacco using NIR spectroscopy. Vibrational Spectroscopy, 111, 103182. Xiang B. Cheng C. Xia J. Tang L. Mu J. Bi Y. ( 2020 ). Simultaneous identification of geographical origin and grade of flue-cured tobacco using NIR spectroscopy . Vibrational Spectroscopy , 111 , 103182 . Search in Google Scholar

[6] [6] Dsouza, R., & Bhojani, U. (2023). Strategic and contested use of food laws to ban smokeless tobacco products in India: a qualitative analysis of litigation. Tobacco control, 32(3), 275-279. Dsouza R. Bhojani U. ( 2023 ). Strategic and contested use of food laws to ban smokeless tobacco products in India: a qualitative analysis of litigation . Tobacco control , 32 ( 3 ), 275 - 279 . Search in Google Scholar

[7] [7] Kumar, P., Rani, A., Singh, S., & Kumar, A. (2022). Recent advances on DNA and omics-based technology in Food testing and authentication: A review. Journal of Food Safety, 42(4), e12986. Kumar P. Rani A. Singh S. Kumar A. ( 2022 ). Recent advances on DNA and omics-based technology in Food testing and authentication: A review . Journal of Food Safety , 42 ( 4 ), e12986 . Search in Google Scholar

[8] [8] Abdullava, F. S. (2020). LEGAL ISSUES OF PRODUCTION AND SALE OF TOBACCO PRODUCTS. In We speak English: legal, social, economic, political, cultural, educational, medical and technical issues (pp. 15-16). Abdullava F. S. ( 2020 ). LEGAL ISSUES OF PRODUCTION AND SALE OF TOBACCO PRODUCTS . In We speak English: legal, social, economic, political, cultural, educational, medical and technical issues (pp. 15 - 16 ). Search in Google Scholar

[9] [9] Alhazmi, H. A., Khalid, A., Sultana, S., Abdelwahab, S. I., Ahsan, W., Oraiby, M. E., & Bratty, M. A. (2019). Determination of phytocomponents of twenty-one varieties of smokeless tobacco using gas chromatography-mass spectroscopy (GC-MS). South African Journal of Chemistry, 72, 47-54. Alhazmi H. A. Khalid A. Sultana S. Abdelwahab S. I. Ahsan W. Oraiby M. E. Bratty M. A. ( 2019 ). Determination of phytocomponents of twenty-one varieties of smokeless tobacco using gas chromatography-mass spectroscopy (GC-MS) . South African Journal of Chemistry , 72 , 47 - 54 . Search in Google Scholar

[10] [10] Zhong, Y., Chen, Y., Hu, Y., Li, G., & Xiao, X. (2021). Multifunctional MgO/HKUST-1 composite for capture, catalysis, and cyclic cataluminescence detection of esters all-in-one to rapidly identify scented products. Analytical Chemistry, 93(48), 16203-16212. Zhong Y. Chen Y. Hu Y. Li G. Xiao X. ( 2021 ). Multifunctional MgO/HKUST-1 composite for capture, catalysis, and cyclic cataluminescence detection of esters all-in-one to rapidly identify scented products . Analytical Chemistry , 93 ( 48 ), 16203 - 16212 . Search in Google Scholar

[11] [11] Adeniji, A., El-Hage, R., Brinkman, M. C., & El-Hellani, A. (2023). Nontargeted analysis in tobacco research: challenges and opportunities. Chemical Research in Toxicology, 36(11), 1656-1665. Adeniji A. El-Hage R. Brinkman M. C. El-Hellani A. ( 2023 ). Nontargeted analysis in tobacco research: challenges and opportunities . Chemical Research in Toxicology , 36 ( 11 ), 1656 - 1665 . Search in Google Scholar

[12] [12] Staal, Y. C., van de Nobelen, S., Havermans, A., & Talhout, R. (2018). New tobacco and tobacco-related products: early detection of product development, marketing strategies, and consumer interest. JMIR Public Health and Surveillance, 4(2), e7359. Staal Y. C. van de Nobelen S. Havermans A. Talhout R. ( 2018 ). New tobacco and tobacco-related products: early detection of product development, marketing strategies, and consumer interest . JMIR Public Health and Surveillance , 4 ( 2 ), e7359 . Search in Google Scholar

[13] [13] Wang, X., Li, F., Wei, L., Huang, Y., Wen, X., Wang, D., & Fan, M. (2024). Rapid and Precise Differentiation and Authentication of Agricultural Products via Deep Learning-Assisted Multiplex SERS Fingerprinting. Analytical Chemistry, 96(11), 4682-4692. Wang X. Li F. Wei L. Huang Y. Wen X. Wang D. Fan M. ( 2024 ). Rapid and Precise Differentiation and Authentication of Agricultural Products via Deep Learning-Assisted Multiplex SERS Fingerprinting . Analytical Chemistry , 96 ( 11 ), 4682 - 4692 . Search in Google Scholar

[14] [14] Chao, M., Kai, C., & Zhiwei, Z. (2020). Research on tobacco foreign body detection device based on machine vision. Transactions of the Institute of Measurement and Control, 42(15), 2857-2871. Chao M. Kai C. Zhiwei Z. ( 2020 ). Research on tobacco foreign body detection device based on machine vision . Transactions of the Institute of Measurement and Control , 42 ( 15 ), 2857 - 2871 . Search in Google Scholar

[15] [15] O’Connor, R., Watson, C. H., Swan, G. E., Nettles, D. S., Geisler, R. C., & Hendershot, T. P. (2020). PhenX: agent measures for tobacco regulatory research. Tobacco control, 29(Suppl 1), s20–s26. O’Connor R. Watson C. H. Swan G. E. Nettles D. S. Geisler R. C. Hendershot T. P. ( 2020 ). PhenX: agent measures for tobacco regulatory research . Tobacco control , 29 (Suppl 1 ), s20 - s26 . Search in Google Scholar

[16] [16] Wonjun Shin, Seongwoo Jang, Yunhyoung Hwang & Jihoon Han. (2024). Data-driven prediction of the mechanical behavior of nanocrystalline graphene using a deep convolutional neural network with PCA. Engineering with Computers(prepublish),1-18. Shin Wonjun Jang Seongwoo Hwang Yunhyoung Han Jihoon ( 2024 ). Data-driven prediction of the mechanical behavior of nanocrystalline graphene using a deep convolutional neural network with PCA . Engineering with Computers(prepublish) , 1 - 18 . Search in Google Scholar

[17] [17] Shyni H. Mary & E Chitra. (2024). PulmonU-Net: a semantic lung disease segmentation model leveraging the benefit of multiscale feature concatenation and leaky ReLU. Automatika(2),641-651. Mary Shyni H Chitra E ( 2024 ). PulmonU-Net: a semantic lung disease segmentation model leveraging the benefit of multiscale feature concatenation and leaky ReLU . Automatika ( 2 ), 641 - 651 . Search in Google Scholar

[18] [18] Bin Wang, Fei Deng, Peifan Jiang, Shuang Wang, Xiao Han & Zhixuan Zhang. (2024). WiTUnet: A U-shaped architecture integrating CNN and Transformer for improved feature alignment and local information fusion. Scientific Reports(1),25525-25525. Wang Bin Deng Fei Jiang Peifan Wang Shuang Han Xiao Zhang Zhixuan ( 2024 ). WiTUnet: A U-shaped architecture integrating CNN and Transformer for improved feature alignment and local information fusion . Scientific Reports ( 1 ), 25525 - 25525 . Search in Google Scholar