นโยบายงานวิจัย /จรรยาบรรณนักวิจัย /ระดับคุณภาพบทความวิจัยตีพิมพ์ /ระดับคุณภาพผลงานวิชาการ /แหล่งทุน /ดาวน์โหลด /ฐานข้อมูลวิจัย /วิเคราะห์-สังเคราะห์งานวิจัย /ลิขสิทธิ์ /ข่าว


Production of Polyclonal Antibody Against Madecassoside and Development of Immunoassay Methods for Analysis of Triterpene Glycosides in Centella asiatica.

Author

- Tassanawat P, Putalun W, Yusakul G, Sritularak B, Juengwatanatrakul T, Tanaka H.


Journal

- Phytochem Analysis

Volume

- 24

Year

- 2013

Publication type

- Research article (Inter)

Page list

- 256-62

Abstract

   

INTRODUCTION=

Centella asiatica (L.) Urban consists of two major triterpene glycosides, asiaticoside (AS) and madecassoside (MA), as active components used for wound healing and enhancing memory.

OBJECTIVE=

To produce a polyclonal antibody against madecassoside (MA-PAb) and develop enzyme-linked immunosorbent assay (ELISA) and Eastern blotting methods for quantitative analysis of triterpene glycosides in Centella asiatica.

METHODS=

An ELISA method was developed using polyclonal antibody against MA. An Eastern blotting method on the PES membrane was established for determination of MA and AS. The immunoassays were validated for sensitivity, precision, specificity and accuracy.

RESULTS=

The prepared MA-PAb shows specificity to MA and AS. The measuring range of triterpene glycosides was 0.39-50 µg/mL using the ELISA method. An Eastern blotting method was developed for determining individual MA and AS, which could be detected in the range of 62.5-500 ng. The limit of detection for MA and AS was 31.25 ng. The two methods developed showed good specificity, precision, and accuracy, and also correlated with high-performance liquid chromatography.

CONCLUSION=

These immunoassays have several advantages that include high sensitivity as well as being rapid and facile for determination of the triterpene glycosides in C. asiatica. Copyright © 2012 John Wiley & Sons, Ltd.


Keywords

   
immunoassay;
asiaticoside;
madecassoside;
polyclonal antibody;
Centella asiatica