Use of artificial neural network (ANN) for the development of bioprocess using Pinus roxburghii fallen foliages for the release of polyphenols and reducing sugars

Bioresource Technology

Volumn 140, Issue , 2013, Pages 392-398

  Vats, Siddharth ^a   Negi, Sangeeta ^a  

^a MOTILAL NEHRU NATIONAL INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Bioprocess modeling; Enzymatic pretreatment; Lignocellulose; Pine needles; Reducing sugars

Indexed keywords

ENZYMATIC HYDROLYSIS; NEURAL NETWORKS; OPTIMIZATION; VEGETATION;

BIOPROCESS MODELING; ENZYMATIC PRETREATMENT; LIGNOCELLULOSE; PINE NEEDLE; REDUCING SUGARS;

SUGARS;

CARBOHYDRATE DERIVATIVE; POLYPHENOL DERIVATIVE; SODIUM HYDROXIDE; WATER; ALKALI; CARBOHYDRATE; POLYPHENOL; SOLUTION AND SOLUBILITY;

ARTIFICIAL NEURAL NETWORK; CONIFEROUS TREE; ENZYME ACTIVITY; FOLIAGE; HYDROXIDE; PHENOL; SUGAR; VOLUME;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOPROCESS; CONCENTRATION (PARAMETERS); FOLIAGE; MICROWAVE RADIATION; PINE; PINUS ROXBURGHII; PRIORITY JOURNAL; PROCESS OPTIMIZATION; BIOTECHNOLOGY; CHEMISTRY; DRUG EFFECTS; OXIDATION REDUCTION REACTION; PLANT LEAF; PROCEDURES; REGRESSION ANALYSIS; SOLUTION AND SOLUBILITY;

PINUS ROXBURGHII;

ALKALIES; BIOTECHNOLOGY; CARBOHYDRATES; MICROWAVES; NEURAL NETWORKS (COMPUTER); OXIDATION-REDUCTION; PINUS; PLANT LEAVES; POLYPHENOLS; REGRESSION ANALYSIS; SODIUM HYDROXIDE; SOLUTIONS;

EID: 84878914301     PISSN: 09608524     EISSN: 18732976     Source Type: Journal    
DOI: 10.1016/j.biortech.2013.04.106     Document Type: Article

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