| 光谱学与光谱分析 |
|
|
|
|
|
| Tobacco Quality Analysis of Industrial Classification of Different Years Using Near-Infrared (NIR) Spectrum |
| WANG Yi1, MA Xiang1, WEN Ya-dong1, YU Chun-xia1, WANG Luo-ping1, ZHAO Long-lian2, LI Jun-hui2* |
1. Hongta Tobacco(Group)Co., Ltd., Yuxi 653100, China
2. College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China |
|
|
|
|
Abstract In this study, tobacco quality analysis of main Industrial classification of different years was carried out applying spectrum projection and correlation methods. The group of data was near-infrared (NIR) spectrum from Hongta Tobacco(Group)Co., Ltd. 5730 tobacco leaf Industrial classification samples from Yuxi in Yunnan province from 2007 to 2010 year were collected using near infrared spectroscopy, which from different parts and colors and all belong to tobacco varieties of HONGDA. The conclusion showed that, when the samples were divided to two part by the ratio of 2∶1 randomly as analysis and verification sets in the same year, the verification set corresponded with the analysis set applying spectrum projection because their correlation coefficients were above 0.98. The correlation coefficients between two different years applying spectrum projection were above 0.97. The highest correlation coefficient was the one between 2008 and 2009 year and the lowest correlation coefficient was the one between 2007 and 2010 year. At the same time, The study discussed a method to get the quantitative similarity values of different industrial classification samples. The similarity and consistency values were instructive in combination and replacement of tobacco leaf blending.
|
|
Received: 2012-02-08
Accepted: 2012-05-08
|
|
|
|
Corresponding Authors:
LI Jun-hui
E-mail: caunir@cau.edu.cn
|
|
[1] ZHANG Tao(章 涛). Guidebook of Cigarette formulation，Process Technology，Organoleptic evaluation and Quality Control(卷烟配方设计、生产工艺技术与感官鉴定及质量控制检验实务全书). Hong Kong：China Science，Technology and Culture Press(香港：中国科技文化出版社)，2005.
[2] LU Yong-heng(陆永恒). Chinese Tobacco Science(中国烟草科学)，2007, 28(3): 43.
[3] LIU Guo-shun, FU Yun-peng, et al(刘国顺，符云鹏，等). Tillage and Cultivation(耕作与栽培)，1996, (1): 28.
[4] XIE Juan, LUO Jian-qun, YAO He-ming, et al(谢 娟，罗建群，姚鹤鸣，等). Tobacco Science & Technology(烟草科技), 2008, (7): 42.
[5] 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.
[6] Hildrum K I，Isaksson T，Naes T，et al. Near-Infrared Spectroscopy Bridging the Gop between Cata Analysis and Application. NewYork：Ellis Horwood，1994. 153.
[7] YAN Yan-lu，ZHAO Long-lian，HAN Dong-hai，et al (严衍禄，赵龙莲，韩东海，等). Foundation and Application of NIR Spectra Analysis(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. 13.
[8] 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.
[9] ZHANG Yong, CONG Qian, XIE Yun-fei，et al(张 勇, 丛 茜, 谢云飞，等). Chemical Research in Chinese Universities(高等学校化学学报), 2009, 30(4): 697.
[10] WANG Zun-yi, SHAO Yong-ni(王遵义, 邵咏妮). Journal of Zhejiang Univeersity·Agriculture ＆ Life Sciences(浙江大学学报·农业与生命科学版), 2009, 35(6): 655.
[11] WANG Bao-xing, ZOU Zhen-min, LIU Wei-juan，et al(王保兴, 邹振民, 刘维涓，等). Optical Instruments(光学仪器), 2010, (6): 10.
[12] Ni Lijun，Zhang Liguo，Xie Juan，et al. Analytica Chimica Acta，2009，633(1)：43.
[13] Jing Ming, Cai Wensheng, Shao Xueguang. Analytical Letters, 2010, 43: 10.
[14] GUAN Bin, WANG Jia-jun, ZHANG Jun-song, et al(关 斌，王家俊，张峻松，等). Academic Periodical of Farm Products Processing(农产品加工)，2009，(10)：102.
|
| [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. |
|
|
|
|
