Title of article :
A sensitive and efficient method to systematically detect two biophenols in medicinal herb, herbal products and rat plasma based on thorough study of derivatization and its convenient application to pharmacokinetics with semi-automated device
Author/Authors :
Chen، نويسنده , , Guang and Li، نويسنده , , Jun and Zhang، نويسنده , , Shijuan and Song، نويسنده , , Cuihua and Li، نويسنده , , Guoliang and Sun، نويسنده , , Zhiwei and Suo، نويسنده , , Yourui and You، نويسنده , , Jinmao، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2012
Pages :
11
From page :
190
To page :
200
Abstract :
A sensitive and efficient method using a semi-automated pretreatment device, pre-column derivatization, multivariate optimization and high performance liquid chromatography with fluorescence and mass spectrometric detection was developed and validated for the systematic determination of two biophenols in four herb-related samples (medicinal herb; herbal products in tablet, capsule and oral liquid forms) and plasma samples after oral administration to rat. Only micro-sampling of 20 μL blood was needed for the analysis, and the pretreatment procedure including blood collection, derivatization by 10-ethyl-acridine-3-sulfonyl chloride (EASC) and injection to the sampling vials was efficiently finished in 10 min with no cumbersome and complicated operation. The novel application of artificial neural network (ANN) coupled with genetic algorithm (GA) to optimization of derivatization condition was executed and compared with the classical response surface methodology (RSM). The optimal condition for derivatization was validated by multi-criteria and nonparametric tests and used successfully to achieve the higher sensitivity (limit of detection: 0.6 and 0.8 ng/mL). The limit of reactant concentration (LORC) was put forward for derivatization method for the first time, and the lower values (2.0–2.7 ng/mL) provided the guarantee for the trace detection with the micro samples (<50 μL) required. The results of validation including selectivity, sensitivity, linearity, accuracy, precision, recovery, matrix effect and stability demonstrated the advantages of this method. The pharmacokinetic study of major bioactive components salidroside and p-tyrosol in herb Rhodiola crenulata and its products was more conveniently performed in 25 min. The established method could be the sensitive and efficient alternative method for the systematic detection of bioactive components in series of drug carriers from raw herb to herbal products and to blood in medical research. And the approaches of the thorough study played the guiding role in seeking a novel analytical method.
Keywords :
Derivatization , Multivariate optimization , Artificial neural network , Biophenol , medicinal herb , Pharmacokinetics
Journal title :
Journal of Chromatography A
Serial Year :
2012
Journal title :
Journal of Chromatography A
Record number :
1516026
Link To Document :
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