Quechers Extraction Followed by HPLC Estimation of Steroidal Glycoalkaloids viz, α-Chaconine and α-Solanine in Different Solanaceae Family Vegetable Varieties

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Authors

  • Department of Chemistry, Hyderabad Institute of Technology and Management, Hyderabad -502401, Telangana ,IN

Keywords:

Glycoalkaloids, HPLC (High pressure liquid chromatography), Solanaceae, α-Chaconine, α-Solanine

Abstract

Glycoalkaloids are the alkaloid derived chemical constituents naturally produced in various plants species especially Solanaceae family. These chemical constituents protect the plant against predators as well as pathogens. The consumption of high dose of glycoalkaloids was toxic to humans. This study was purposeful to evaluate steroidal glycoalkaloids viz., α-chaconine and α-solanine quantity in different Solanaceae family vegetable varieties. The QuEChERS (Quick, Easy, Cheap, Effective, Rugged, Safe) extraction using acetonitrile as extracting solvent was used for extracting steroidal glycoalkaloids in vegetable samples. In the optimized conditions, the standard chromatogram shows clear resolution of α-chaconine and α-solanine. The analytes were identified at 3.15 min for α-chaconine and 4.88 min for α-solanine. The optimized HPLC (High pressure liquid chromatography) method was validated. The method optimized using acetonitrile and 1.0 mM ammonium acetate buffer at pH 4.2 in 65:45 (v/v) as mobile phase at 0.6 mL/min, μBondapak C18 (10 μm, 4.6x250 mm) column as stationary phase and UV detection is selected at 218 nm. Findings suggest that this method was simple and convenient for the estimation of glycoalkaloids in vegetables. The glycoalkaloids was achieved under the acceptable levels of less than 200 mg/kg as prescribed by USFDA and German Federal Institute for Risk Assessment.

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Published

2024-04-08

How to Cite

Nagamalla, L. (2024). Quechers Extraction Followed by HPLC Estimation of Steroidal Glycoalkaloids viz, α-Chaconine and α-Solanine in Different Solanaceae Family Vegetable Varieties. Toxicology International. Retrieved from https://www.informaticsjournals.com/index.php/toxi/article/view/35679

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Articles
Received 2023-11-22
Accepted 2024-02-23
Published 2024-04-08

 

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