The Use of LC/UV/MS for Qualitative and Quantitative Analysis of Phytochemicals in Roselle Hibiscus (Hibiscus sabdariffa L.) Leaves

Kit L Chin¹, Yadong Qi¹*, Adolfo Pertuz², Julia Coppin², Qing-Li Wu² and James Simon²

¹Southern University Agricultural Research and Extension Center/College of Agriculture, Southern University Land Grant Campus, Baton Rouge, Louisiana, USA
²New Use Agriculture and Natural Plant Products Program, Department of Plant Biology, Rutgers University, New Brunswick, New Jersey, USA

*Corresponding Author: Yadong Qi, Southern University Agricultural Research and Extension Center/College of Agriculture, Southern University Land Grant Campus, Baton Rouge, Louisiana, USA.

Received: June 22, 2018; Published: July 13, 2018

Citation: Yadong Qi., et al. “The Use of LC/UV/MS for Qualitative and Quantitative Analysis of Phytochemicals in Roselle Hibiscus (Hibiscus sabdariffa L.) Leaves ". Acta Scientific Agriculture 2.8 (2018).

Abstract

  A great deal of research focus has been placed on the calyx of roselle hibiscus due to its demonstrated medicinal properties by the phytochemicals present in them. Though roselle hibiscus leaves have been found to contain polyphenols and antioxidants, there is an increasing need to know the phytochemical profiles of antioxidants present in roselle hibiscus leaves. LC/UV/MS qualitative and quantitative analysis indicated that the amount of total polyphenolic contents and the individual phytochemical component of the leaves varied among five roselle accessions. Ten phytochemical compound were isolated and identified. This LC/UV/MS method was found to be a reliable analytical technique for determining the phytochemical structural components present in roselle hibiscus leaf extracts. It required a very small sample size and yet provided high resolution and sensitivity detection of phenolic acids and flavonoids along with rapid identification of individual phytochemical compound.

Keywords: Roselle; Hibiscus sabdariffa; Phytochemicals; LC/UV/MS; Qualitative and Quantitative Analysis

Copyright: © 2018 Yadong Qi., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.