Modeling and Optimization of Artificial Neural Network and Response Surface Methodology in Ultra-high-Pressure Extraction of Artemisia argyi Levl. et Vant and its antifungal activity

Food Analytical Methods

Volumn 6, Issue 2, 2013, Pages 421-431

  Zheng, Ni ^a,c   Chen, Feng ^a   Wang, Zhaoyu ^b   Lin, Jingming ^a  

^a SOUTHERN MEDICAL UNIVERSITY   (China)

^b GUANGDONG PHARMACEUTICAL UNIVERSITY   (China)

^c GUANGDONG SECOND PROVINCIAL GENERAL HOSPITAL   (China)

Author keywords

ANN; Antifungal; RSM; Ultra high pressure extraction

Indexed keywords

FLAVONOIDS; FUNGI; HIGH PERFORMANCE LIQUID CHROMATOGRAPHY; MEAN SQUARE ERROR; MEDICINE; NEURAL NETWORKS; OPTIMIZATION; SURFACE PROPERTIES;

ANTI-FUNGAL; EXTRACTION CONDITIONS; MINIMUM INHIBITORY CONCENTRATION; MODELING AND OPTIMIZATION; RESPONSE SURFACE METHODOLOGY; ROOT MEAN SQUARE ERRORS; TRADITIONAL CHINESE MEDICINE; ULTRA-HIGH PRESSURE EXTRACTIONS;

EXTRACTION;

ARTEMISIA; ARTEMISIA ARGYI; ARTHRODERMATACEAE;

EID: 84875051361     PISSN: 19369751     EISSN: 1936976X     Source Type: Journal    
DOI: 10.1007/s12161-012-9439-x     Document Type: Article

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