Advanced search
Start date
Betweenand
(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Identification and quantification of genipin and geniposide from Genipa americana L. by HPLC-DAD using a fused-core column

Full text
Author(s):
Nathia-Neves, Grazielle [1] ; Nogueira, Gislaine Chystina [1] ; Vardanega, Renata [1] ; de Almeida Meireles, Maria Angela [1]
Total Authors: 4
Affiliation:
[1] Univ Estadual Campinas, Lab Tecnol Supercrit Extracao Fracionamento & Ide, UNICAMP, DEA, FEA, Campinas, SP - Brazil
Total Affiliations: 1
Document type: Journal article
Source: FOOD SCIENCE AND TECHNOLOGY; v. 38, n. 1, p. 116-122, DEC 2018.
Web of Science Citations: 0
Abstract

In this work, it was developed a fast, simple and selective method for quantification of genipin and geniposide from unripe fruits of genipap, which are known as natural colorants, blue and yellow, respectively. The compounds separation was performed in a fused-core C18 column using as mobile phase water (A) and acetonitrile (B) both acidified with 0.1% formic acid, with the following gradient: 0 min, 99% A; 9 min, 75% A; 10 min, 99% A and 13 min, 99% A. The temperature and flow rate that allowed the best chromatographic performance were 35 degrees C and 1.5 mL/min, respectively, resulting a total run time of 13 min, including column clean-up and re-equilibration. This short analysis time represents an advantage compared to the methods reported in the literature where the running times are 2-5 times greater. The detection wavelength was set at 240 nm. The method validation was performed based on specificity, linearity, detection and quantification limits, precision and accuracy, according to ICH methodology. Finally, the developed method was suitable for monitoring analysis of those compounds content in vegetable samples. (AU)

FAPESP's process: 15/13299-0 - From seeds to final products: feasible manufacturing routes of annatto applying process intensification and process integration
Grantee:Maria Angela de Almeida Meireles Petenate
Support type: Regular Research Grants