LAUSR

BACKGROUND Haskap berries (Lonicera caerulea L.) are rich in anthocyanins. Cold plasma-assisted enzyme method (CPEM) is an innovative method for green extraction of anthocyanins, which was optimized by an artificial neural network-genetic algorithm (ANN-GA) to maximize the yield. In this study, seven factors were screened using by Plackett-Burman design based on single-factor experiments and optimized by ANN-GA. RESULTS The results showed that the maximum total anthocyanin content (TAC, 42.45 ± 0.25 g Cyanidin-3-glucoside equivalent (C3G)/kg dry weight, DW) was obtained under optimal pretreatment power of 192 W, pretreatment time of 29 s and liquid-to-solid ratio of 39 mL·g-1. Cleavage and porosity appeared on the surface of the treated sample. The active ingredients and antioxidant capacity of the CPEM extracts were identified by ultra-performance liquid chromatography and time of flight mass spectrometry (UPLC-Q-TOF-MS). Compared with other extraction technologies, CPEM presents the advantages of shortening the extraction time, reducing the solvent volume, and significantly increasing active ingredients and antioxidant activity. CONCLUSION The ANN-GA has better predictive and higher accuracy than the RSM model and is more suitable for optimizing the CPEM by greatly improving the process yield and the utilization of biomass, thus contributing to the sustainability of the agri-food chain. This article is protected by copyright. All rights reserved.