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A sensitive and efficient method for simultaneous trace detection and identification of triterpene acids and its application to pharmacokinetic study
Chen, Guang1,2,3,4; Li, Jun3,4; Song, Cuihua3,4; Suo, Yourui1; You, Jinmao1,3,4
2012-08-30
发表期刊TALANTA
ISSN0039-9140
卷号98页码:101-111
文章类型Article
摘要A sensitive and efficient method for simultaneous trace detection of seven triterpene acids was developed and validated for analysis of rat plasma samples. The required micro-sampling of only 20 ut. blood reduced the difficulty in blood collection and the injury to animal. The whole pretreatment procedure was more conveniently finished within 26 min through the application of the semi-automated derivatization extraction method to biological samples. Seven analytes were rapidly separated within 30 min on reversed-phase Akasil-C18 column and quantified by fluorescence detector. Online ion trap MS with atmospheric pressure chemical ionization (APCI) source was used for further identification. The novel application of artificial neural network (ANN) combined with genetic algorithm (GA) to optimization of derivatization was performed and compared with the classical response surface methodology (RSM). Optimal derivatization condition was validated by multi-criteria and nonparametric tests and used successfully to achieve the rather high sensitivity (limit of detection: 0.67-1.08 ng/mL). The limit of reactant concentration (LORC) special for derivatization was studied and the lower values (2.53-4.03 ng/mL) ensured the trace detection. Results of validation demonstrated the advantages for pharmacokinetic study, such as higher sensitivity, better accuracy, easier pretreatment and shorter run-time. Pharmacokinetic study of triterpene acids after oral administration of Salvia miltiorrhiza extract to mice was conducted for the first time. The present method provided more sensitive and efficient alternative for the medical detection of bioactive constituents from herbal extract in the biological liquid. (C) 2012 Elsevier B.V. All rights reserved.; A sensitive and efficient method for simultaneous trace detection of seven triterpene acids was developed and validated for analysis of rat plasma samples. The required micro-sampling of only 20 ut. blood reduced the difficulty in blood collection and the injury to animal. The whole pretreatment procedure was more conveniently finished within 26 min through the application of the semi-automated derivatization extraction method to biological samples. Seven analytes were rapidly separated within 30 min on reversed-phase Akasil-C18 column and quantified by fluorescence detector. Online ion trap MS with atmospheric pressure chemical ionization (APCI) source was used for further identification. The novel application of artificial neural network (ANN) combined with genetic algorithm (GA) to optimization of derivatization was performed and compared with the classical response surface methodology (RSM). Optimal derivatization condition was validated by multi-criteria and nonparametric tests and used successfully to achieve the rather high sensitivity (limit of detection: 0.67-1.08 ng/mL). The limit of reactant concentration (LORC) special for derivatization was studied and the lower values (2.53-4.03 ng/mL) ensured the trace detection. Results of validation demonstrated the advantages for pharmacokinetic study, such as higher sensitivity, better accuracy, easier pretreatment and shorter run-time. Pharmacokinetic study of triterpene acids after oral administration of Salvia miltiorrhiza extract to mice was conducted for the first time. The present method provided more sensitive and efficient alternative for the medical detection of bioactive constituents from herbal extract in the biological liquid. (C) 2012 Elsevier B.V. All rights reserved.
关键词Triterpene Acids Trace Detection Derivatization Micro Samples Pharmacokinetic Multivariate Optimization
WOS标题词Science & Technology ; Physical Sciences
关键词[WOS]PERFORMANCE LIQUID-CHROMATOGRAPHY ; ARTIFICIAL NEURAL-NETWORKS ; PHOTODIODE-ARRAY DETECTION ; MASS-SPECTROMETRY ; FLUORESCENCE DETECTION ; BIOACTIVE TRITERPENES ; OLEANOLIC ACID ; URSOLIC ACIDS ; FATTY-ACIDS ; HPLC
收录类别SCI
语种英语
WOS研究方向Chemistry
WOS类目Chemistry, Analytical
WOS记录号WOS:000309327600015
引用统计
被引频次:13[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://210.75.249.4/handle/363003/3620
专题中国科学院西北高原生物研究所
作者单位1.Chinese Acad Sci, Key Lab Adaptat & Evolut Plateau Biota, NW Plateau Inst Biol, Xining 810001, Peoples R China
2.Chinese Acad Sci, Grad Sch, Beijing 100039, Peoples R China
3.Qufu Normal Univ, Key Lab Life Organ Anal, Qufu 273165, Shandong, Peoples R China
4.Qufu Normal Univ, Key Lab Pharmaceut Intermediates & Anal Nat Med, Qufu 273165, Shandong, Peoples R China
推荐引用方式
GB/T 7714
Chen, Guang,Li, Jun,Song, Cuihua,et al. A sensitive and efficient method for simultaneous trace detection and identification of triterpene acids and its application to pharmacokinetic study[J]. TALANTA,2012,98:101-111.
APA Chen, Guang,Li, Jun,Song, Cuihua,Suo, Yourui,&You, Jinmao.(2012).A sensitive and efficient method for simultaneous trace detection and identification of triterpene acids and its application to pharmacokinetic study.TALANTA,98,101-111.
MLA Chen, Guang,et al."A sensitive and efficient method for simultaneous trace detection and identification of triterpene acids and its application to pharmacokinetic study".TALANTA 98(2012):101-111.
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