优化药物制剂工艺的多种数据处理方法的研究进展

涂颖秋,朱孟夏,刘会,黄绳武

中国药学杂志 ›› 2013, Vol. 48 ›› Issue (16) : 1333-1336.

中国药学杂志 ›› 2013, Vol. 48 ›› Issue (16) : 1333-1336. DOI: 10.11669/cpj.2013.16.003
综述

优化药物制剂工艺的多种数据处理方法的研究进展

  • 涂颖秋,朱孟夏,刘会,黄绳武
作者信息 +

Advance in Research on Data Processing Methods of Optimizing Drug Preparation Process

  • TU Ying-qiu,ZHU Meng-xia,LIU Hui,HUANG Sheng-wu
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文章历史 +

摘要

目的综述优化药物制剂工艺的多种数据处理方法的研究进展。方法通过查阅国内外相关文献,在单指标数据处理方法的基础上,对多种数据处理方法进行比较、分析和总结。结果方差分析-多指标综合加权评分法、多元回归分析-效应面法、人工神经网络、多维空间三角形面积法等多指标的数据处理方法在优化药物制剂工艺中已得到广泛应用及有一定的适用范围。结论方差分析-多指标综合加权评分法、多元回归分析-效应面法、人工神经网络、多维空间三角形面积法、代谢动态数学模型等多指标数据处理方法都能揭示多因素多水平之间的规律,为优化药物制剂工艺提供可借鉴的参考。

Abstract

OBJECTIVE To summarize the advance in research on a variety of data processing methods of optimizing drug preparation process. METHODS On the basis of data processing methods of single index,this paper compares,analyzes and summarizes a variety of data processing methods in relevant literature. RESULTS Multiple indicator data processing method,such as analysis of variance-comprehensive weighted of multi-index,multiple regression analysis-response surface methodology,artificial neural network,and multi-dimensional space triangle area,has been widely used in the optimization of drug preparation process in a certain scope. CONCLUSION Analysis of variance-comprehensive weighted of multi-index,multiple regression analysis-response surface methodology,artificial neural networks,and multidimensional spatial triangular area can reveal the principles among multi-factors of multi-levels,thus can provide reference for optimizing drug preparation technology.

关键词

方差分析-多指标综合加权评分法 / 多元回归分析-效应面法 / 人工神经网络 / 多维空间三角形面积法

Key words

analysis of variance-comprehensive weighted of multi-index / multiple regression analysis-response surface methodology / artificial neural network

引用本文

导出引用
涂颖秋,朱孟夏,刘会,黄绳武. 优化药物制剂工艺的多种数据处理方法的研究进展[J]. 中国药学杂志, 2013, 48(16): 1333-1336 https://doi.org/10.11669/cpj.2013.16.003
TU Ying-qiu,ZHU Meng-xia,LIU Hui,HUANG Sheng-wu. Advance in Research on Data Processing Methods of Optimizing Drug Preparation Process[J]. Chinese Pharmaceutical Journal, 2013, 48(16): 1333-1336 https://doi.org/10.11669/cpj.2013.16.003
中图分类号: R944   

参考文献

[1] DRUMMOND G B,VOWLER S L.Analysis of variance:Variably complex.Microcirculation,2012,19(3):280-283.[2] SRIVASTAVA M.Analysis of cariance and covariance .J Applied Statistics,2010,37 (10): 1781-1782.[3] LI Z,PAN Q H,CUI X Y,et al.Optimization on anthocyanins extraction from wine grape skins using orthogonal test design .Food Sci Biotechnol, 2010,19(4): 1047-1053 .[4] CHEN S,WU B H,FANG J B.et al.Analysis of flavonoids from lotus (Nelumbo nucifera)leaves using high performance liquid chromatography/photodiode array detector tandem electrospray ionization mass spectrometry and an extraction method optimized by orthogonal design.J Chromatogr A,2012,1227:145-153.[5] CAI D J,SHU Q,XU B Q,et al.Orthogonal test design for optimization of the extraction of flavonid from the Fructus Gardeniae.Biomed Environ Sci,2011,24(6):688-693.[6] TIAN S,ZHOU X,GONG H,et al .Orthogonal test design for optimization of the extraction of polysaccharide from Paeonia sinjiangensis K Y Pan .Pharmacogn Mag,2011,7(25):4-8.[7] SUN Z Q.Medical statistics(third edition).Beijing:People′s Medical Publishing House,2010.181- 186.[8] LI Y X,YU J Z,HOU L J,et al.Comprehensive weighted scoring method optimized nutgrass galingale vinegar main process.Chin Tradit Pat Med(中成药),2011,33(4):641-644[9] RAYMOND H,MYER S.Response surface methodology: process and product optimization using designed experiments.New York:Wiley.2008. ISLAM M,QAMARUL T,MOTI L,et al.Multiple linear regression model with stochastic design variables.J Applied Statistics,2010,37(6):923-943. GUO X,ZOU X,SUN M.Optimization of extraction process by response surface methodology and preliminary characterization of polysaccharides from Phellinus igniarius.Carbohydrate Polymers,2010,80(2):344-349. KORANY M A,MAHGOUB H,FAHMY O T,et al.Application of artiflcial neural networks for response surface modeling in HPLC method development .J Adv Res,2012,3(1):53-63. SANJAY D,PRAMANIK S,MALGOPE A.Formulation and optimization of sustained release stavudine microspheres using response surface methodology.ISRN Pharmaceutics,2011. LIU J,SUN Y,LIU L,et al.The extraction process optimization and physicochemical properties of polysaccharides from the roots of Euphorbia fischeriana.Int J Biol MacromolInt,2011,49(3):416-421. HOSSAIN M B,BRUNTONNP,PATRAS A,et al.Optimization of ultrasound assisted extraction of antioxidant compounds from marjoram (Origanum majorana L.) using response surface methodology.Ultrason Sonochem,2012,19(3):582-590. ZHAO Q,KENNEDY J F,WANG X,et al.Optimization of ultrasonic circulating extraction of polysaccharides from Asparagus officinalis using response surface methodology.Int J Biol Macromol,2011,49(2):181-187. EBRU FIRATLIGIL-DURMUS,OZGUL EVRANUZ.et al.Response surface methodology for protein extraction optimization of red pepper seed (Capsicum frutescens).LWT- Food Sci Technol,2010,43(2):226- 231. LI G Y,ZHONG M,ZHOU Z D,et al.Formulation optimization of chelerythrine loaded O-carboxymethylchitosan microspheres using response surface methodology .Int J Biol Macromol,2011,49(5):970-978. ZOU T B,WANG M,GAN R Y,et al.Optimization of ultrasound-assisted extraction of anthocyanins from mulberry,using response surface methodologyp.Int J Mol Sci,2011,12(5):3006-3017. VLASTIMIL DOHNAL.What are hat are artificial neural networds and what they can do.Biomed Pap Med Fac Univ Palacky Olomouc Czech Repub,2005,149(2):221-224. BEZERRA M A,SANTELLI R E,OLIVEIRA E P,et al.Response surface methodology (RSM) as a tool for optimization in analytical chemistry.TALANTA,2008,76(5):965-977. DESAI K M,SURVASE S A,SAUDAGAR P S,et al.Comparison of artiflcial neural network (ANN) and response surface methodology (RSM) in fermentation media optimization: Case study of fermentative production of scleroglucan.Biochem Eng J,2008,41:266-273. ZHANG Q L,LI X M.A new method to determine hidden note number in neural network.J Jishou Univ(Nat Sci Ed)(吉首大学学报自然科学版),2002,23(1):89-91. MARCHITAN N,COJOCARU C,MEREUTA A,et al.Modeling and optimization of tartaric acid reactive extraction from aqueous solutions: A comparison between response surface methodology and artiflcial neural network .Separation and Puriflcation Technology,2010,75(3):273-285. BARMPALEXIS P,KANAZE F I,KACHRIMANIS K,et al.Artificial neural networks in the optimization of a nimodipine controlled release tablet formulation .Eur J Pharm Biopharm,2010,74(2): 316-323. BARMPALEXIS P,KACHRIMANIS K,GEORGARADIS E.Solid dispersions in the development of a nimodipine floating tablet formulation and optimization by artificial neural networks and genetic programming.Eur J Pharm Biopharm,2011,77(1):122-131. HOU Z H,ZHANG Y H,ZHAO H,et al.Called China and zhangyu,Jin Chunai,Zhao Change,Cui Songhuan.Black rice anthocyanins extracted based on artificial neural network research.J Food Sci Technol(食品科技),2012,37(1):194-198 PETROVI J,IBRI S,BSETZ G,et al.Optimization of matrix tablets controlled drug release using Elman dynamic neural networks and decision trees.Int J Pharm,2012,428(1-2):57-67. GUPTA A K.Predictive modelling of turning operations using response surface methodology,artificial neural networks and support vector regression .Int J Prod Res,2010,48(3):763-778. IMANDI SARAT BABU,GARAPATI HANUMANTHA RAO.Optimization of culture medium for the production of poly-y-glutamic acid using artificical neural networks and genetic algorithms.Res J Microbiol,2010,5(12):1275-1281. LI H Y,GU J K,GOU Z,et al.Multidimensional space method research triangle area multi-component Chinese medicine release absorbs the idea and method of correlation.Acta Pharm Sin(药学学报),2010,45(7): 895-900. FU J,WANG X,XU L,et al.Preparation and in vitro-in vivo evaluation of double layer coated and matrix sustained release pellet formulations of diclofenac potassium .Int J Pharm,2011,406(1-2):84-90. LOURDES O,MANOLI I,ROSA M.HERNáNDEZ,MARIA áNGELES SOLINíS,ALICIA R.GASCóN,JOSE LUIS PEDRAZ.In vivo evaluation of two new sustained release formulations elaborated by one-step melt granulation: Level a in vitro-in vivo correlation .Eur J Pharm Biopharm,2010,75:232-237. MUHAMMAD RAFIQ,ABDUL WAHAB,NISAR-UR-REHMAN,ABID HUSSAIN,SAID MUHAMMAD.In vitro and in vivo evaluation of two sustained release formulations of diltiazem HCl.Afr J Pharm Pharmacol,2010,4(9):678-694. SHAVI G V,NAYAK U Y,REDDY M S,et al.Sustained release optimized formulation of anastrozole-loaded chitosan microspheres: in vitro and in vivo evaluation.J Mater Sci: Mater Med,2011,22(4):865-878. SABYASACHI MAITI,SAYON PAUL,RANJIT MONDOL,SOMASREE RAY,BISWANATH SA.Nanovesicular formulation of brimonidine tartrate for the management of glaucoma: In vitro and In vivo evaluation .AAPS Pharm Sci Tech,2011,12(2):755-763. PRAKASH BHAGAV,HARIOM UPADHYAY,SAJEEV CHANDRAN .Brimonidine Tartrate-Eudragit Long-Acting Nanoparticles: Formulation,Optimization,in vitro and In vivo Evaluation.AAPS Pharm Sci Tech,2011,12(4):1087-1101. KONSTANTIONS D.Artificial Neural Networks-ICANN.Berlin:Springer-Verlag Berlin Heidelberg,2010. YANG B,ZHANG A,SUN H,et al.Metabolomic study of insomnia and intervention effects of Suanzaoren decoction using ultra-performance liquid-chromatography/electrospray-ionization synapt high-definition mass spectrometry.J Pharm Biomed Anal,2012,25(58):113-124. OKADA T,NAKAMURA Y,KANAYA S,et al.Metabolome analysis of ephedra plants with different contents of ephedrine alkaloids by using UPLC-Q-TOF-MS.Original Paper,2009,75(12): 1356-1362.

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