| 光谱学与光谱分析 |
|
|
|
|
|
| Study on the Model of Six Components in Tobacco Using OSC-PCR |
| WU Li-jun1, TIAN Kuang-da1, LI Qian-qian1, LI Zu-hong2, QIU Kai-xian1, MIN Shun-geng1* |
1. Department of Applied Chemistry, College of Science, China Agricultural University, Beijing 100193, China
2. Yunnan Qujing Tobacco Company, Qujing 655000, China |
|
|
|
|
Abstract In the present paper, the authors used NIR to determine routine chemical components, namely total sugar, reducing sugar, nicotine, total nitrogen, starch and volatile alkali. Orthogonal signal correction (OSC) was employed as spectral pretreatment and the principal component regression (PCR) models for 6 chemical components were established with Monte Carlo cross-validation modeling strategy. RPD value for each model was calculated to evaluate the methods. The orientation of PCR projection is the largest variance direction and has no relationship with the concentration. OSC can not only get rid of uninformative concentration but also solve the problem of noise, baseline drift and stray light. Compared with conventional PCR, OSC-PCR sustains the accuracy of the predicting model and improves the stability of the model significantly. It proves that NIR coupled with OSC-PCR method can be applied to the determination of routine chemical components, which is of great significance in evaluation of tobacco quality and analysis of tobacco aroma components.
|
|
Received: 2012-10-14
Accepted: 2013-01-12
|
|
|
|
Corresponding Authors:
MIN Shun-geng
E-mail: minsg@263.net
|
|
[1] JING Yan-qiu, GONG Chang-rong, ZHANG Yue-hua，et al(景延秋，宫长荣，张月华，等). Chinese Tobacco Science(中国烟草科学), 2005, (2): 44.
[2] ZHOU Ji-heng, ZHU Xiao-ping, WANG Yan-ting, et al(周冀衡, 朱晓平, 王彦亭, 等). Physiology and Biochemistry of Tobacco(烟草生理与生物化学). Hefei: China Science Technology University Press(合肥：中国科学技术大学出版社), 1996. 415.
[3] Wu Y P, Deng J H, Wen D R, et al. Tobacco Chemistry, 2010, 9: 40.
[4] BAI Chang-min, ZHONG Ke-jun, HUANG Jian-guo, et al(白长敏, 钟科军, 黄建国, 等). Chinese Journal of Analytical Chemistry(分析化学), 2006, 34(11): 1619.
[5] Lü Hai-tao, SUN Hai-feng, QU Bao-han, et al(吕海涛, 孙海峰, 曲宝涵, 等). Chinese Journal of Analytical Chemistry(分析化学), 2007, 35(10): 1425.
[6] YAN Yan-lu, ZHAO Long-lian, HAN Dong-hai, et al(严衍禄，赵龙莲，韩东海，等). Basis and Application of Near Infrared Spectral 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. 12.
[7] TANG Shou-peng, YAO Xin-feng, YAO Xia, et al(汤守鹏, 姚鑫锋, 姚 霞，等). Chinese Journal of Analytical Chemistry(分析化学), 2009, 37(10): 1445.
[8] Kim H C, Kim D J, Bang S Y. Recognition Letters, 2003, 24: 1385.
[9] Zhang R, Wang W J, Chen Y. Expert Systems with Applications, 2010, 37: 6531.
[10] Popescu M C, Froidevaux J, Navi P, et al. Journal of Molecular Structure, 2013, 1033: 176.
[11] Svante W, Henrik A, Fredrik L, et al. Chemometrics and Intelligent Laboratory Systems, 1998, 44: 175.
[12] Wu Y Q, Noda I, Meersman F, et al. Journal of Molecular Structure, 2006, 799: 121.
[13] Yu H L, John F. Gregor M. Chemometrics and Intelligent Laboratory Systems 2004, 73: 199.
[14] Xu Q S, Liang Y Z. Chemometrics and Intelligent Laboratory Systems, 2004, 56: 1. |
| [1] |
WANG Xue-pei1, 2, ZHANG Lu-wei1, 2, BAI Xue-bing3, MO Xian-bin1, ZHANG Xiao-shuan1, 2*. Infrared Spectral Characterization of Ultraviolet Ozone Treatment on Substrate Surface for Flexible Electronics[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1867-1873. |
| [2] |
SHI Wen-qiang1, XU Xiu-ying1*, ZHANG Wei1, ZHANG Ping2, SUN Hai-tian1, 3, HU Jun1. Prediction Model of Soil Moisture Content in Northern Cold Region Based on Near-Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1704-1710. |
| [3] |
WANG Yue1, 3, 4, CHEN Nan1, 2, 3, 4, WANG Bo-yu1, 5, LIU Tao1, 3, 4*, XIA Yang1, 2, 3, 4*. Fourier Transform Near-Infrared Spectral System Based on Laser-Driven Plasma Light Source[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1666-1673. |
| [4] |
FENG Rui-jie1, CHEN Zheng-guang1, 2*, YI Shu-juan3. Identification of Corn Varieties Based on Bayesian Optimization SVM[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1698-1703. |
| [5] |
YU Zhi-rong, HONG Ming-jian*. Near-Infrared Spectral Quantitative Analysis Network Based on Grouped Fully Connection[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1735-1740. |
| [6] |
MENG Fan-jia1, LUO Shi1, WU Yue-feng1, SUN Hong1, LIU Fei2, LI Min-zan1*, HUANG Wei3, LI Mu3. Characteristic Extraction Method and Discriminant Model of Ear Rot of Maize Seed Base on NIR Spectra[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1716-1720. |
| [7] |
PENG Yan-fang1, WANG Jun1, WU Zhi-sheng2*, LIU Xiao-na3, QIAO Yan-jiang2*. NIR Band Assignment of Tanshinone ⅡA and Cryptotanshinone by
2D-COS Technology and Model Application Tanshinone Extract[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1781-1785. |
| [8] |
WANG Li-qi1, YAO Jing1, WANG Rui-ying1, CHEN Ying-shu1, LUO Shu-nian2, WANG Wei-ning2, ZHANG Yan-rong1*. Research on Detection of Soybean Meal Quality by NIR Based on
PLS-GRNN[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(05): 1433-1438. |
| [9] |
FU Yan-hua1, LIU Jing2*, MAO Ya-chun2, CAO Wang2, HUANG Jia-qi2, ZHAO Zhan-guo3. Experimental Study on Quantitative Inversion Model of Heavy Metals in Soda Saline-Alkali Soil Based on RBF Neural Network[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(05): 1595-1600. |
| [10] |
LI Jia-yi1, YU Mei1, LI Mai-quan1, ZHENG Yu2*, LI Pao1, 3*. Nondestructive Identification of Different Chrysanthemum Varieties Based on Near-Infrared Spectroscopy and Pattern Recognition Methods[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(04): 1129-1133. |
| [11] |
CHEN Chu-han1, ZHONG Yang-sheng2, WANG Xian-yan3, ZHAO Yi-kun1, DAI Fen1*. Feature Selection Algorithm for Identification of Male and Female
Cocoons Based on SVM Bootstrapping Re-Weighted Sampling[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(04): 1173-1178. |
| [12] |
LI Xue-ying1, 2, LI Zong-min3*, CHEN Guang-yuan4, QIU Hui-min2, HOU Guang-li2, FAN Ping-ping2*. Prediction of Tidal Flat Sediment Moisture Content Based on Wavelet Transform[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(04): 1156-1161. |
| [13] |
ZHANG Xiao-hong1, JIANG Xue-song1*, SHEN Fei2*, JIANG Hong-zhe1, ZHOU Hong-ping1, HE Xue-ming2, JIANG Dian-cheng1, ZHANG Yi3. Design of Portable Flour Quality Safety Detector Based on Diffuse
Transmission Near-Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(04): 1235-1242. |
| [14] |
ZHENG Kai-yi1, ZHANG Wen1, DING Fu-yuan1, ZHOU Chen-guang1, SHI Ji-yong1, Yoshinori Marunaka2, ZOU Xiao-bo1*. Using Ensemble Refinement (ER) Method to OptimizeTransfer Set of Near-Infrared Spectra[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(04): 1323-1328. |
| [15] |
CHENG Jie-hong1, CHEN Zheng-guang1, 2*, YI Shu-juan2. Wavelength Selection Algorithm Based on Minimum Correlation Coefficient for Multivariate Calibration[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(03): 719-725. |
|
|
|
|
