|
|
|
|
|
|
Application of Near-Infrared Spectroscopy to Analyze the Similarity of Cigar Tobacco From Different Origins |
ZHAO Gao-kun1, LI Jia-chen2, WU Yu-ping1*, LI Jun-hui2, KONG Guang-hui1, ZHANG Guang-hai1, YAO Heng1, LI Wei1, GAO Yan-lan1 |
1. Yunnan Academy of Tobacco Agricultural Sciences, Kunming 650031, China
2. College of Information and Electrical Engineering,China Agricultural University,Beijing 100083,China
|
|
|
Abstract The flavor characteristics of cigars are closely related to their origin. Using near-infrared spectroscopy to analyze the similarity of cigar tobacco leaves from different origins provides a basis for zoning and product design for domestic cigar planting. This study analyzed 526 tobacco leaf samples collected in Yunnan, Dominica, Brazil, and Indonesia from 2021 to 2023 using principal component analysis and Fisher's distance method to determine the similarity of tobacco leaves from different origins. The results showed that Dominican and Brazilian tobacco leaves had high similarity, while Yunnan and Dominican tobacco leaves had some similarity; within the Yunnan region, there was high similarity between Yuxi, Wenshan, and Pu'er, and high similarity between Dehong and Lincang; there was some similarity between Dehong and Dominica, and some similarity between Lincang and Indonesia. The similarity results obtained within large production areas were consistent with sensory evaluations, and more detailed similarity analysis results can provide more detailed technical support for domestic cigar tobacco leaf planting zoning, product design, etc.
|
Received: 2024-01-03
Accepted: 2024-08-09
|
|
Corresponding Authors:
WU Yu-ping
E-mail: ypwumm@163.com
|
|
[1] YU Hang, LIU Yan-ting, SHANG Meng-qi, et al(于 航, 刘砚婷, 尚梦琦,等). Tobacco Science & Technology(烟草科技),2021, 54(9): 58.
[2] WANG Yan-yan, LIU Guo-xiang, XIANG Xiao-hua, et al(王琰琰, 刘国祥, 向小华,等). Chinese Tobacco Science(中国烟草科学),2020, 41(3): 93.
[3] ZHANG Lu, TANG Xing-hong, MA Xiang, et al(张 璐, 唐兴宏, 马 翔,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2012, 32(3): 664.
[4] Zhao Pengfei, Xing Jianfei, Hu Can, et al. Agriculture, 2022, 12(3): 411.
[5] WANG Di, FENG Wei-hua, GUO Jun-wei, et al(王 迪, 冯伟华, 郭军伟,等). Tobacco Science & Technology(烟草科技), 2022, 55(8): 41.
[6] PAN Xi, LIU Hui, WANG Hao, et al(潘 曦, 刘 辉, 王 昊, 等). Journal of Instrumental Analysis(分析测试学报),2020, 39(11): 1385.
[7] Wang Di, Yang Simon X. Applied Soft Computing, 2023, 134: 109970.
[8] Liu Jingjing, Ma Xiang, Wen Yadong, et al. Industrial & Engineering Chemistry Research, 2011, 50(12): 7677.
[9] Wu Ruoxin, Tian Zhizhang, Zhang Chuntao, et al. Vibrational Spectroscopy, 2022, 121: 103401.
[10] LAI Yan-hua, LIN Yun, TAO Hong, et al(赖燕华, 林 云, 陶 红, 等). Acta Tabacaria Sinica(中国烟草学报),2020, 26(2): 36.
[11] PAN Wei, MA Wen-guang, ZHENG Yun-ye, et al(潘 威, 马文广, 郑昀晔,等). Tobacco Science & Technology(烟草科技), 2017, 50(2): 15.
[12] MA Yan-jun, LI Xue-ying, MA Li, et al(马雁军, 李雪莹, 马 莉, 等). Acta Tabacaria Sinica(中国烟草学报),2017, 23(3): 38.
[13] Luan Lili, Wang Yuheng, Li Xueying, et al. Journal of Near Infrared Spectroscopy, 2016, 24(4): 363.
[14] LI Xiu-ni, YAN Tie-jun, WU Feng-guang, et al(李秀妮, 闫铁军, 吴风光,等). Acta Tabacaria Sinica(中国烟草学报),2019, 25(6): 126.
|
[1] |
TANG Yan1, 3, WU Jia1, XU Jian-jie2*, GUO Teng-xiao2, HU Jian-bo1, 4, ZHANG Hang4, LIU Yong-gang5*, YANG Yun-fan4. Analysis of Near-Infrared Anharmonic Vibration Spectra of Amino Acids
Using Density Functional Theory[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(11): 3149-3156. |
[2] |
YU Xin-ran1, 3, ZHAO Peng2, HUAN Ke-wei2, LI Ye2, JIANG Zhi-xia1, 3, ZHOU Lin-hua1, 3*. Research on Intelligent Algorithm of Near-Infrared Spectroscopy
Non-Invasive Detection Based on GA-SVR Method[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(11): 3020-3028. |
[3] |
WANG Hong-en, FENG Guo-hong*, XU Hua-dong, ZHANG Run-ze. Identification of Blueberry Ripeness Based on Visible-Near Infrared
Spectroscopy and Deep Forest[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(11): 3280-3286. |
[4] |
WANG Xue1, 2, 4, WANG Zi-wen1, ZHANG Guang-yue1, MA Tie-min1, CHEN Zheng-guang1, YI Shu-juan3, 4, WANG Chang-yuan2. A Universal Model for Quantitative Analysis of Near-Infrared
Spectroscopy Based on Transfer Component Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(11): 3213-3221. |
[5] |
MAO Li-yu1, 2, BIN Bin1*, ZHANG Hong-ming2*, LÜ Bo2, 3*, GONG Xue-yu1, YIN Xiang-hui1, SHEN Yong-cai4, FU Jia2, WANG Fu-di2, HU Kui5, SUN Bo2, FAN Yu2, ZENG Chao2, JI Hua-jian2, 3, LIN Zi-chao2, 3. Development of Wheat Component Detector Based on Near Infrared
Spectrum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(10): 2768-2777. |
[6] |
JIANG Xiao-gang1, 2, HE Cong1, 2, JIANG Nan3, LI Li-sha1, ZHU Ming-wang1, LIU Yan-de1, 2*. Discrimination of Apple Origin and Prediction of SSC Based on
Multi-Model Decision Fusion[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(10): 2812-2818. |
[7] |
MU Liang-yin1, ZHAO Zhong-gai1*, JIN Sai2, SUN Fu-xin2, LIU Fei1. Near-Infrared Prediction Models for Quality Parameters of Culture Broth in Seed Tank During Citric Acid Fermentation[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(10): 2819-2826. |
[8] |
GUO Zhi-qiang1, ZHANG Bo-tao1, ZENG Yun-liu2*. Study on Sugar Content Detection of Kiwifruit Using Near-Infrared
Spectroscopy Combined With Stacking Ensemble Learning[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(10): 2932-2940. |
[9] |
YE Xu1, 2, YANG Jiong2, 3*, QIU Zhi-li1, 2, YUE Zi-long1. An Exploration of Geographic Determination of Serpentine Jade by
Raman Spectroscopy Combined With Principal Component
Analysis and Linear Discriminant Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(09): 2551-2558. |
[10] |
ZHU Yu-kang1, LU Chang-hua1, ZHANG Yu-jun2, JIANG Wei-wei1*. Quantitative Method to Near-Infrared Spectroscopy With Multi-Feature Fusion Convolutional Neural Network Based on Wavelength Attention[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(09): 2607-2612. |
[11] |
MAO Ya-chun1, WEN Jie1*, CAO Wang1, DING Rui-bo1, WANG Shi-jia2, FU Yan-hua3, XU Meng-yuan1. Fusion Algorithm Research Based on Imaging Spectrum of Anshan Iron Ore[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(09): 2620-2625. |
[12] |
WENG Ding-kang1, FAN Zheng-xin1, KONG Ling-fei1, SUN Tong1*, YU Wei-wu2. Rapid Identification of Shelled Bad Torreya Grandis Seeds Based on
Visible-Near Infrared Spectroscopy and Chemometrics[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(09): 2675-2682. |
[13] |
WU Bin1, XIE Chen-ao2, CHEN Yong2, WU Xiao-hong2, JIA Hong-wen1. Discrimination of Chuzhou Chrysanthemum Tea Grades Using Noise
Discriminant C-Means Clustering[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(08): 2202-2207. |
[14] |
WANG Shu-tao1, WAN Jin-cong1*, LIU Shi-yu2, ZHANG Jin-qing1, WANG Yu-tian1. Qualitative Modeling Method of Mango Species in Near Infrared Based on Attention Mechanism Residual Neural Network[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(08): 2262-2267. |
[15] |
HU Cai-ping1*, FU Zhao-min2*, XU Hong-jia2, WU Bin3, SUN Jun4. Discrimination of Lettuce Storage Time Based on Near-Infrared Spectroscopy Combined With Fuzzy Uncorrelated QR Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(08): 2268-2272. |
|
|
|
|