NWIPB OpenIR
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
Source PublicationTALANTA
ISSN0039-9140
Volume98Pages:101-111
SubtypeArticle
AbstractA 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.
KeywordTriterpene Acids Trace Detection Derivatization Micro Samples Pharmacokinetic Multivariate Optimization
WOS HeadingsScience & Technology ; Physical Sciences
WOS KeywordPERFORMANCE LIQUID-CHROMATOGRAPHY ; ARTIFICIAL NEURAL-NETWORKS ; PHOTODIODE-ARRAY DETECTION ; MASS-SPECTROMETRY ; FLUORESCENCE DETECTION ; BIOACTIVE TRITERPENES ; OLEANOLIC ACID ; URSOLIC ACIDS ; FATTY-ACIDS ; HPLC
Indexed BySCI
Language英语
WOS Research AreaChemistry
WOS SubjectChemistry, Analytical
WOS IDWOS:000309327600015
Citation statistics
Cited Times:14[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://210.75.249.4/handle/363003/3620
Collection中国科学院西北高原生物研究所
Affiliation1.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
Recommended Citation
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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