| 光谱学与光谱分析 |
|
|
|
|
|
| Analysis of Tobacco Style Features Using Near-Infrared Spectroscopy and Projection Model |
| SHU Ru-xin1, CAI Jia-yue2, YANG Zheng-yu1*, YANG Kai1, ZHAO Long-lian2, ZHANG Lu-da3, ZHANG Ye-hui2, LI Jun-hui2* |
1. Technology Center of Shanghai Tobacco (Group) Corporation, Shanghai 200082, China
2. College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China
3. College of Science, China Agricultural University, Beijing 100083, China |
|
|
|
|
Abstract In the present paper, a total of 4 733 flue-cured tobacco samples collected from 2003 to 2012 in 17 provincial origins and 5 ecological areas were tested by near infrared spectroscopy, including the NONG(Luzhou) flavor 1 580 cartons, QING(Fen) flavor 2004 cartons and Intermediate flavor 1 149 cartons. Using projection model based on principal component and Fisher criterion (PPF), Projection analysis models of tobacco ecological regions and style characteristics were established. Reasonableness of style flavor division is illustrated by the model results of tobacco ecological areas. With the Euclidean distance between the predicted sample projection values and the mean projection values of each class in style characteristics model, a description is given for the prediction samples to quantify the extent of the style features, and their first and second close categories. Using the dispersion of projected values in model and the given threshold value, prediction results can be refined into typical NONG, NONG to Intermediate,Intermediate to NONG, typical Intermediate, Intermediate to QING, QING to Intermediate, typical QING, QINGto NONG, NONG to QING, or super-model range. The model was validated by 35 tobacco samples obtained from the re-dryingprocess in 2012 with different origins and parts. This kind of analysis methods not only can achieve discriminant analysis, but also can get richer feature attribute information and provide guidance to raw tobacco processing and formulations.
|
|
Received: 2014-05-20
Accepted: 2014-07-22
|
|
|
|
Corresponding Authors:
YANG Zheng-yu, LI Jun-hui
E-mail: yangzy@sh.tobacco.com.cn;caunir@cau.edu.cn
|
|
[1] Williams P, Norris K, Near-Infrared Technology in the Agricultural and Food Industries, 2nd ed. American Association of Cereal Chemists Inc., St. Paul, MN, 2001.
[2] Shenk J S, Workman J J Jr, Westerhaus M O. Application of NIR Spectroscopy to Agricultural Products, 2nd ed. New York: Marcel Dekker, 2001.
[3] Roberts C A, Workman Jr J, Reeves III J B, eds. Near-Infrared Spectroscopy in Agriculture (Agronomy). Madison, WI: American Society of Agronomy-Crop Science Society of America-Soil Science Society of America, 2004.
[4] YAN Yan-lu, et al(严衍禄, 等). Basis and Application of Near Infrared Spectroscopy(近红外光谱分析基础与应用). Beijing：China Light Industry Press(北京：中国轻工业出版社), 2005.
[5] Liu Jingjing, Ma Xiang, Wen Yadong, et al. Industrial & Engineering Chemistry Research, 2011, 50(12): 7677.
[6] YANG Kai, LIU Peng, WANG Wei-miao, et al(杨 凯, 刘 鹏, 王维妙). Acta Tabacaria Sinica(中国烟草学报), 2012, (6)：27.
[7] MA Xiang, WEN Ya-dong, WANG Yi, et al(马 翔, 温亚东, 王 毅, 等). Tobacco Science & Technology(烟草科技), 2006, (1): 22.
[8] Duan Jia, Huang Yue, Li Zuhong, et al. Industrial Crops and Products. 2012, 40(11): 21.
[9] Jing Ming, Cai Wensheng, Shao Xueguang. Analytical Letters, 2010, 43: 1910.
[10] WEN Ya-dong, WANG Yi, WANG Neng-ru, et al(温亚东, 王 毅, 王能如, 等).Acta Tabacaria Sinica(中国烟草学报), 2009, 15(5)：6.
[11] ZHANG Jian-ping, CHEN Jiang-hua, SHU Ru-xin, et al(张建平, 陈江华, 束茹欣, 等). Acta Tabacaria Sinica(中国烟草学报), 2007, 13(5)：1.
[12] TANG Yuan-ju(唐远驹). Chinese Tobacco Science(中国烟草科学), 2013, 32(4)：1.
[13] HUANG Zhong-yan, ZHU Yong, DENG Yun-long, et al(黄中艳, 朱 勇, 邓云龙, 等). Chinese Journal of Agrometeorology(中国农业气象), 2008, 29(4)：440.
[14] LI Zhang-hai, WANG Neng-ru, WANG Dong-sheng, et al(李章海, 王能如, 王东胜, 等). Chinese Tobacco Science(中国烟草科学), 2009, 30(5): 67.
[15] CHANG Ai-xia, ZHANG Jian-ping, DU Yong-mei, et al(常爱霞, 张建平, 杜咏梅, 等). Acta Tabacaria Sinica(中国烟草学报), 2010，16(2): 14.
[16] SHI Hong-zhi(史宏志). Tobacco Flavor(烟草香味学). Beijing: China Agriculture Press(北京：中国农业出版社), 1998.
[17] YU Jian-jun(于建军). Cigarette Technology(卷烟工艺学). Beijing: China Agriculture Press(北京：中国农业出版社), 2003. |
| [1] |
GAO Feng1, 2, XING Ya-ge3, 4, LUO Hua-ping1, 2, ZHANG Yuan-hua3, 4, GUO Ling3, 4*. Nondestructive Identification of Apricot Varieties Based on Visible/Near Infrared Spectroscopy and Chemometrics Methods[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 44-51. |
| [2] |
BAO Hao1, 2，ZHANG Yan1, 2*. Research on Spectral Feature Band Selection Model Based on Improved Harris Hawk Optimization Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 148-157. |
| [3] |
HU Cai-ping1, HE Cheng-yu2, KONG Li-wei3, ZHU You-you3*, WU Bin4, ZHOU Hao-xiang3, SUN Jun2. Identification of Tea Based on Near-Infrared Spectra and Fuzzy Linear Discriminant QR Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3802-3805. |
| [4] |
LIU Xin-peng1, SUN Xiang-hong2, QIN Yu-hua1*, ZHANG Min1, GONG Hui-li3. Research on t-SNE Similarity Measurement Method Based on Wasserstein Divergence[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3806-3812. |
| [5] |
BAI Xue-bing1, 2, SONG Chang-ze1, ZHANG Qian-wei1, DAI Bin-xiu1, JIN Guo-jie1, 2, LIU Wen-zheng1, TAO Yong-sheng1, 2*. Rapid and Nndestructive Dagnosis Mthod for Posphate Dficiency in “Cabernet Sauvignon” Gape Laves by Vis/NIR Sectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3719-3725. |
| [6] |
WANG Qi-biao1, HE Yu-kai1, LUO Yu-shi1, WANG Shu-jun1, XIE Bo2, DENG Chao2*, LIU Yong3, TUO Xian-guo3. Study on Analysis Method of Distiller's Grains Acidity Based on
Convolutional Neural Network and Near Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3726-3731. |
| [7] |
LUO Li, WANG Jing-yi, XU Zhao-jun, NA Bin*. Geographic Origin Discrimination of Wood Using NIR Spectroscopy
Combined With Machine Learning Techniques[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3372-3379. |
| [8] |
ZHANG Shu-fang1, LEI Lei2, LEI Shun-xin2, TAN Xue-cai1, LIU Shao-gang1, YAN Jun1*. Traceability of Geographical Origin of Jasmine Based on Near
Infrared Diffuse Reflectance Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3389-3395. |
| [9] |
YANG Qun1, 2, LING Qi-han1, WEI Yong1, NING Qiang1, 2, KONG Fa-ming1, ZHOU Yi-fan1, 2, ZHANG Hai-lin1, WANG Jie1, 2*. Non-Destructive Monitoring Model of Functional Nitrogen Content in
Citrus Leaves Based on Visible-Near Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3396-3403. |
| [10] |
HUANG Meng-qiang1, KUANG Wen-jian2, 3*, LIU Xiang1, HE Liang4. Quantitative Analysis of Cotton/Polyester/Wool Blended Fiber Content by Near-Infrared Spectroscopy Based on 1D-CNN[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3565-3570. |
| [11] |
HUANG Zhao-di1, CHEN Zai-liang2, WANG Chen3, TIAN Peng2, ZHANG Hai-liang2, XIE Chao-yong2*, LIU Xue-mei4*. Comparing Different Multivariate Calibration Methods Analyses for Measurement of Soil Properties Using Visible and Short Wave-Near
Infrared Spectroscopy Combined With Machine Learning Algorithms[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3535-3540. |
| [12] |
KANG Ming-yue1, 3, WANG Cheng1, SUN Hong-yan3, LI Zuo-lin2, LUO Bin1*. Research on Internal Quality Detection Method of Cherry Tomatoes Based on Improved WOA-LSSVM[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3541-3550. |
| [13] |
HUANG Hua1, LIU Ya2, KUERBANGULI·Dulikun1, ZENG Fan-lin1, MAYIRAN·Maimaiti1, AWAGULI·Maimaiti1, MAIDINUERHAN·Aizezi1, GUO Jun-xian3*. Ensemble Learning Model Incorporating Fractional Differential and
PIMP-RF Algorithm to Predict Soluble Solids Content of Apples
During Maturing Period[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3059-3066. |
| [14] |
CHEN Jia-wei1, 2, ZHOU De-qiang1, 2*, CUI Chen-hao3, REN Zhi-jun1, ZUO Wen-juan1. Prediction Model of Farinograph Characteristics of Wheat Flour Based on Near Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3089-3097. |
| [15] |
GUO Ge1, 3, 4, ZHANG Meng-ling3, 4, GONG Zhi-jie3, 4, ZHANG Shi-zhuang3, 4, WANG Xiao-yu2, 5, 6*, ZHOU Zhong-hua1*, YANG Yu2, 5, 6, XIE Guang-hui3, 4. Construction of Biomass Ash Content Model Based on Near-Infrared
Spectroscopy and Complex Sample Set Partitioning[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3143-3149. |
|
|
|
|
