Green Extraction of Bioactive Compounds from Chilgoza Pine Nut Shell Using Pulsed Ultrasound and Microwave-Assisted Extraction: A Comparative Evaluation of RSM and Swarm Intelligence-Based Optimization with Phytochemical Profiling by UHPLC-Q-Exactive Orbitrap-MS
摘要
Chilgoza pine nut shells (CPNS) represent a significant by-product generated by the nut processing industry. In this work, the potential of CPNS as a promising source for the recovery of bioactive compounds has been explored. This study aims to compare two green extraction technologies, namely, pulsed ultrasound-assisted extraction (PUAE) and microwave-assisted extraction (MAE) of CPNS for maximizing the recovery of total phenolic content (TPC), total flavonoid content (TFC), and antioxidant capacity (AOX). Both techniques were modeled as a function of amplitude/power, extraction time, and ethanol concentration using response surface methodology (RSM) and artificial neural network (ANN) and optimized with the help of a swarm intelligence-based method, namely, particle swarm optimization (PSO). ANN provided better prediction accuracy than RSM, with lower statistical errors and a higher R2 value. The ANN-PSO optimized conditions for PUAE were 44.16% amplitude, 16.82 min extraction time, and 78.17% ethanol concentration, and 353.59 W power, 2.90 min extraction time, and 79.33% ethanol concentration for MAE. The MAE demonstrated a 33.93% increase in TFC with an 8.71% and a 13.13% increase in DPPH scavenging activity and FRAP activity, respectively, over PUAE, with no significant difference in TPC. These improvements suggested the superior efficacy of MAE in extracting the flavonoids with higher antioxidant capacity. The SEM micrographs revealed microstructural damage, elucidating the underlying mechanisms that facilitated the enhanced recovery of polyphenols through PUAE and MAE. The UHPLC-Q-Exactive Orbitrap-MS analysis confirmed the presence of 61 bioactive compounds such as gallic acid, catechin, quercetin, isorhamnetin, apigenin, hesperetin, and many more in the extract. The research findings of this study will not only aid in valorizing nut processing waste, but also help researchers to develop value-added food products and nutraceuticals.