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001-es BibID:	BIBFORM116315
035-os BibID:	(cikkazonosító)e22438 (WoS)001132082100001 (Scopus)85178351825
Első szerző:	Singh, Poornima
Cím:	Ultrasound-assisted extraction of phytochemicals from green coconut shell: Optimization by integrated artificial neural network and particle swarm technique / Poornima Singh, Vinay Kumar Pandey, Sourav Chakraborty, Kshirod Kumar Dash, Rahul Singh, Ayaz Mukarram shaikh, Kovács Béla
Dátum:	2023
ISSN:	2405-8440
Megjegyzések:	This study employs artificial neural network (ANN) and particle swarm optimization (PSO) to maximize antioxidant and antimicrobial activity from green coconut shells. Phytochemical analysis was carried out on the extract obtained from ultrasound-assisted extraction performed at different combinations of time (10, 20, and 30 min), temperature (30, 35, and 40 degrees C), and the ratio of solid-solvent (1:10, 1:20, and 1:30 g/ml). The presence of these bioactive compounds exhibits antimicrobial and antioxidant activities. Quantitative analysis showed that the total phenolic compounds ranged from 7.08 to 33.46 mg GAE/g, flavonoids ranged from 2.09 to 28.46 mg QE/g, tannins ranged from 70.5 to 141.09 mg TAE/g, and antioxidant activity of 49.98-66.1 %. The FTIR analysis detected the presence of C--O, O-H, and C-H bonds. The optimized condition of ultrasound-assisted extraction (UAE) was compared with the optimized condition of the microwave. The result of ultrasound-assisted extraction was observed to be better than microwave-assisted extraction.
Tárgyszavak:	Agrártudományok Élelmiszertudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk Green coconut shell Phytochemicals Ultrasound-assisted extraction Particle swarm optimization Artificial neural network
Megjelenés:	Heliyon. - 9 : 12 (2023), p. 1-16. -
További szerzők:	Pandey, Vinay Kumar Chakraborty, Sourav Dash, Kshirod Kumar Singh, Rahul Shaikh, Ayaz Mukarram (1991-) (PhD candidate) Kovács Béla (1963-) (okleveles vegyész, angol szakfordító)
Pályázati támogatás:	TKP2021-NKTA-32 Egyéb
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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