Quantitative Near-infrared Spectroscopic Analysis of Trimethoprim by Artificial Neural Networks Combined with Modified Genetic Algorithm

被引：5

作者：

Shan Hongyan ^{[1
]}

Fei Yanqun ^{[2
]}

Huan Yanfu ^{[1
]}

Feng Guodong ^{[1
]}

Fei Qiang ^{[1
]}

机构：

[1] Jilin Univ, Coll Chem, Changchun 130021, Peoples R China

[2] Changchun Weiersai Biotec Pharmaceut Co Ltd, Changchun 130616, Peoples R China

来源：

CHEMICAL RESEARCH IN CHINESE UNIVERSITIES | 2014年 / 30卷 / 04期

基金：

中国国家自然科学基金;

关键词：

Artificial neural network; Genetic algorithm; Near-infrared spectroscopy; Trimethoprim; PARTIAL LEAST-SQUARES; MUTUAL INFORMATION; SELECTION; REGRESSION; COMPONENTS; VARIABLES;

D O I：

10.1007/s40242-014-3410-x

中图分类号：

O6 [化学];

学科分类号：

0703 ;

摘要：

A novel method for rapid, accurate and nondestructive determination of trimethoprim in complex matrix was presented. Near-infrared spectroscopy coupled with multivariate calibration(partial least-squares and artificial neural networks) was applied in the experiment. The variable selection process based on a modified genetic algorithm with fixed number of selected variables was proceeded, which can reduce the training time and enhance the predictive ability when coupled with artificial neural network model.

引用

页码：582 / 586

页数：5

共 18 条

[1] Evaluation of Three Approaches for Real-Time Monitoring of Roller Compaction with Near-Infrared Spectroscopy
Acevedo, David
Muliadi, Ariel
Giridhar, Arun
Litster, James D.
Romanach, Rodolfo J.
[J]. AAPS PHARMSCITECH, 2012, 13 (03): : 1005 - 1012
[2] China Pharmacopoeia Committee, 2010, PHARMACOPOEIA PEOPLE, VII, P147
[3] Simultaneous determination of two active components in compound aspirin tablets using principal component artificial neural networks (PC-ANNs) on NIR spectroscopy
Dou, Y.
Qu, N.
Wang, B.
Chi, Y. Z.
Ren, Y. L.
[J]. EUROPEAN JOURNAL OF PHARMACEUTICAL SCIENCES, 2007, 32 (03) : 193 - 199
[4] Genetic algorithm optimisation combined with partial least squares regression and mutual information variable selection procedures in near-infrared quantitative analysis of cotton-viscose textiles
Durand, A.
Devos, O.
Ruckebusch, C.
Huvenne, J. P.
[J]. ANALYTICA CHIMICA ACTA, 2007, 595 (1-2) : 72 - 79
[5] Detection of addition of barley to coffee using near infrared spectroscopy and chemometric techniques
Ebrahimi-Najafabadi, Heshmatollah
Leardi, Riccardo
Oliveri, Paolo
Casolino, Maria Chiara
Jalali-Heravi, Mehdi
Lanteri, Silvia
[J]. TALANTA, 2012, 99 : 175 - 179
[6] GA-ACE:: Alternating conditional expectations regression with selection of significant predictors by genetic algorithms
Esteban-Díez, I
González-Sáiz, JM
Pizarro, C
Forina, M
[J]. ANALYTICA CHIMICA ACTA, 2006, 555 (01) : 96 - 106
[7] Monitoring substrate and products in a bioprocess with FTIR spectroscopy coupled to artificial neural networks enhanced with a genetic-algorithm-based method for wavelength selection
Franco, VG
Perín, JC
Mantovani, VE
Goicoeche, HC
[J]. TALANTA, 2006, 68 (03) : 1005 - 1012
[8] Determination of acid value, hydroxyl Value and water content in reactions between dicarboxylic acids and diols using near-infrared spectroscopy and non-linear partial least squares regression
Heikka, RA
Immonen, KT
Minkkinen, PO
Paatero, EYO
Salmi, TO
[J]. ANALYTICA CHIMICA ACTA, 1997, 349 (1-3) : 287 - 294
[9] Application of the near-infrared spectroscopy in the pharmaceutical technology
Jamrogiewicz, Marzena
[J]. JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS, 2012, 66 : 1 - 10
[10] Kraskov A, 2004, PHYS REV E, V69, DOI 10.1103/PhysRevE.69.066138

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