Related Experiment Video
Updated: Feb 26, 2026

Improved UPLC-UV Method for the Quantification of Vitamin C in Lettuce Varieties Lactuca sativa L. and Crop Wild Relatives Lactuca spp.
Published on: June 30, 2020
The influence of postharvest UV-C treatment on anthocyanin biosynthesis in fresh-cut red cabbage
1Key Laboratory of Agro-products Processing, Institute of Food Science and Technology, Ministry of Agriculture, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Abstract:
Red cabbage (Brassica oleracea L. var. capitata f. rubra DC.) is a fresh edible vegetable consumed globally that contains high levels of antioxidant compounds including anthocyanins. In this study, fresh-cut red cabbage was treated with different Ultraviolet-C (UV-C) dosages. Fifteen cyanidin derivatives were observed in UV-C treated fresh-cut red cabbage; four of these were anthocyanins absent in control samples. The optimum dose of UV-C for enhancing total anthocyanin content in fresh-cut red cabbage was 3.0 kJ/m2. Different UV-C irradiation doses resulted in miscellaneous responses for each of the anthocyanin compounds, and these alterations appeared to be dose-dependent. The expression of genes relating to anthocyanin metabolism was altered by UV-C irradiation. For example, genes for biosynthetic enzymes including glycosyltransferase and acyltransferase, as well as R2R3 MYB transcription factors (production of anthocyanin pigment 1 and MYB114), had strongly increased expression following UV-C treatment. These results are in accord with the roles of these gene products in anthocyanin metabolism. This is, to the authors' knowledge, the first report demonstrating that UV-C treatment can increase the antioxidant activity in fresh-cut red cabbage in storage. Moreover, our detailed phytochemical and gene expression analysis establish specific roles for both anthocyanins and metabolism genes in this process.
More Related Videos
08:09Development of a Cabbage Protoplast System for Studying Hypoxia Tolerance in Brassica
Published on: September 20, 2024
10:25Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements
Published on: June 28, 2016