光谱学与光谱分析 |
|
|
|
|
|
Rapid Determination of Hypoglycemic Tablets by Handheld Raman Spectrometer and KPCA-Clustering Analysis |
WENG Xin-xin1, ZHANG Zhong-hu2, YIN Li-hui3, LU Feng1* |
1. School of Pharmacy, Second Military Medical University, Shanghai 200433, China 2. Shandong Provincial Institute for Drug Control, Ji’nan 250012, China 3. National Institute for the Control of Pharmaceutical and Biological Products, Beijing 100050, China |
|
|
Abstract In the present paper, five different kinds of hypoglycemic tablets were identified using kernel principal component analysis (KPCA)-clustering analysis of their Raman spectra. KPCA was used to compress thousands of spectral data into several variables and to describe the body of the spectra before clustering analysis was chosen as further research method. The results showed that hypoglycemic tablets could be quickly classified using KPCA-clustering analysis. A disadvantage of Raman spectroscopy for this type of analysis is that it is primarily a surface technique. As a consequence, the spectra of the tablet core and its coating might differ. However, the KPCA-clustering analysis turned out to be a sufficiently reliable discrimination, i.e., 96% of the hypoglycemic tablets with coating and 100% of the hypoglycemic tablets without coating were predicted correctly. Overall, the Raman spectroscopic method in the present paper plays a good role in the identification and offers a new approach to the rapid discrimination of different kinds of hypoglycemic tablets.
|
Received: 2009-04-28
Accepted: 2009-07-29
|
|
Corresponding Authors:
LU Feng
E-mail: fenglufeng@hotmail.com
|
|
[1] ZHANG Chun-bo,FAN Yu-feng(张春波,范玉峰). China Medical Herald(中国医药导报), 2008, 5(28): 109. [2] LI Shu,CAO Yan,LE Jian,et al(李 树,曹 岩,乐 健,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2009, 29(2): 327. [3] Fernandez Facundo M,Green Michael D,Newton Paul N. Industrial and Engineering Chemistry Research, 2008, 47: 585. [4] Kudelski Andrzej. Talanta, 2008, 76: 1. [5] WANG Yu,LI Zhong-hong,ZHANG Zheng-xing,et al(王 玉,李忠红,张正行,等). Acta Pharmaceutica Sinica(药学学报), 2004, 39(9): 764. [6] Pesce William J,Wiley Peter Booth. Pharmaceutical Applications of Raman Specuroscopy. Slobodan aic, 2007. [7] ZHANG Xin,LIU Zhao-xia,NI Kun-yi,et al(张 新,刘朝霞,倪坤仪,等). Chinese Pharmaceutical Affairs(中国药事), 2008, 22(7): 555. [8] de Peinder P,Vredenbregt M J,Visserc T,et al. Journal of Pharmaceutical and Biomedical Analysis, 2008, 47: 688. [9] Eliasson Charlotte,Macleod Neil A,Jayes Linda C,et al. Journal of Pharmaceutical and Biomedical Analysis, 2008, 47: 221. [10] de Veij Marleen,Deneckere Annelien,Vandenabeele Peter,et al. Journal of Pharmaceutical and Biomedical Analysis, 2008, 46: 303. [11] Ricci Camilla,Nyadong Leonard,Yang Felicia,et al. Analytica Chimica Acta, 2008, 623: 178. [12] de Veij Marleen,Vandenabeele Peter,Hall Krystyn Alter,et al. Journal of Raman Spectroscopy, 2007, 38: 181. [13] ZHANG Qi-ming,ZHANG Xin,LIU Zhao-xia(张启明,张 新,刘朝霞). Chinese Pharmaceutical Journal(中国药学杂志), 2008, 43(24): 1903. [14] Xu Yong,Zhang David,Song Fengxi,et al. Neurocomputing,2007, 70: 1056. [15] LIANG Yi-zeng(梁逸曾). White, Grey and Black Multicomponent Systems and Their Chemometric Algorithms(白灰黑复杂多组份分析体系及其化学计量学算法). Changsha: Hunan Publishing House of Science and Technology(长沙:湖南科学技术出版社),1996. [16] CHU Xiao-li,YUAN Hong-fu,LU Wan-zhen(褚小立,袁洪福,陆婉珍). Chinese Journal of Analytical Chemistry(分析化学),2000, 28(4): 421.
|
[1] |
GUO Ya-fei1, CAO Qiang1, YE Lei-lei1, ZHANG Cheng-yuan1, KOU Ren-bo1, WANG Jun-mei1, GUO Mei1, 2*. Double Index Sequence Analysis of FTIR and Anti-Inflammatory Spectrum Effect Relationship of Rheum Tanguticum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 188-196. |
[2] |
WANG Cai-ling1,ZHANG Jing1,WANG Hong-wei2*, SONG Xiao-nan1, JI Tong3. A Hyperspectral Image Classification Model Based on Band Clustering and Multi-Scale Structure Feature Fusion[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 258-265. |
[3] |
XU Rong1, AO Dong-mei2*, LI Man-tian1, 2, LIU Sai1, GUO Kun1, HU Ying2, YANG Chun-mei2, XU Chang-qing1. Study on Traditional Chinese Medicine of Lonicera L. Based on Infrared Spectroscopy and Cluster Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3518-3523. |
[4] |
JIA Hao1, 3, 4, ZHANG Wei-fang1, 3, LEI Jing-wei1, 3*, LI Ying-ying1, 3, YANG Chun-jing2, 3*, XIE Cai-xia1, 3, GONG Hai-yan1, 3, DING Xin-yu1, YAO Tian-yi1. Study on Infrared Fingerprint of the Classical Famous
Prescription Yiguanjian[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3202-3210. |
[5] |
HU Shuang1, LIU Cui-mei2*, XU Lin3, JIA Wei2, HUA Zhen-dong2. Rapid Qualitative Analysis of Synthetic Cathinones by Raman
Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(06): 1821-1828. |
[6] |
LIU Si-qi1, FENG Guo-hong1*, TANG Jie2, REN Jia-qi1. Research on Identification of Wood Species by Mid-Infrared Spectroscopy Based on CA-SDP-DenseNet[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 814-822. |
[7] |
HU Shuang1, LIU Cui-mei2*, JIA Wei2, HUA Zhen-dong2. Rapid Qualitative Analysis of Synthetic Cannabinoids by Raman
Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(01): 145-150. |
[8] |
CHEN Yong1, 2, GUO Yun-zhu1, WANG Wei3*, WU Xiao-hong1, 2*, JIA Hong-wen4, WU Bin4. Clustering Analysis of FTIR Spectra Using Fuzzy K-Harmonic-Kohonen Clustering Network[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(01): 268-272. |
[9] |
SHANG Chao-nan1, XIE Yan-li2, GAO Xiao3, ZHOU Xue-qing2, ZHAO Zhen-dong2, MA Jia-xin1, CUI Peng3, WEI Xiao-xiao3, FENG Yu-hong1, 2*, ZHANG Ming-nan2*. Research on Qualitative and Quantitative Analysis of PE and EVA in Biodegradable Materials by FTIR[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(11): 3380-3386. |
[10] |
YUAN Li1, XIE Bei-bei2, CUI Yong-qiang2, ZHANG Xiao-dan2, JIAO Hui-hui2. Research on Oil Spill Status Recognition Based on LIF[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(07): 2018-2024. |
[11] |
XU Liang-ji1, 2, MENG Xue-ying2, WEI Ren2, ZHANG Kun2. Experimental Research on Coal-Rock Identification Method Based on
Visible-Near Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(07): 2135-2142. |
[12] |
CHEN Wei-na1, GUO Zhong-zheng1, LI Kai-kai1, YANG Yu-zhu1, YANG Xu2*. Micro Confocal Raman Spectroscopy Combined With Chemometrical Method for Forensic Differentiation of Electrostatic Copy Paper[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(07): 2033-2038. |
[13] |
MIAO Shu-guang1, SHAO Dan1*, LIU Zhong-yu2, 3, FAN Qiang1, LI Su-wen1, DING En-jie2, 3. Study on Coal-Rock Identification Method Based on Terahertz
Time-Domain Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1755-1760. |
[14] |
WANG Ling-ling1, 2, 3, WANG Bo1, 2, 3, XIONG Feng1, 2, 3, YANG Lu-cun1, 2, LI Jing-jing4, XIAO Yuan-ming1, 2, 3, ZHOU Guo-ying1, 2*. A Comparative Study of Inorganic Elements in Cultivativing Astragalus Membranaceus From Different Habitats[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(05): 1407-1412. |
[15] |
YANG Yu-qing1, CAI Jiang-hui1, 2*, YANG Hai-feng1*, ZHAO Xu-jun1, YIN Xiao-na1. LAMOST Unknown Spectral Analysis Based on Influence Space and Data Field[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(04): 1186-1191. |
|
|
|
|