Predicting ultimate methane yields of Jatropha curcus and Morus indica from their chemical composition

Bioresource Technology

Volumn 100, Issue 13, 2009, Pages 3426-3429

  Gunaseelan, V Nallathambi ^a  

^a PSG COLLEGE OF ARTS AND SCIENCE   (India)

Author keywords

Biochemical methane potential; Multiple regression models; Predicting Bo; Sericulture wastes; Ultimate methane yield

Indexed keywords

BIOCHEMICAL METHANE POTENTIAL; MULTIPLE REGRESSION MODELS; PREDICTING BO; SERICULTURE WASTES; ULTIMATE METHANE YIELD;

CARBOHYDRATES; METAL ANALYSIS; REGRESSION ANALYSIS; SEWAGE; SILK;

METHANE;

CARBOHYDRATE; CELLULOSE; JATROPHA CURCUR EXTRACT; LIPID; METHANE; MORUS INDICA EXTRACT; PLANT EXTRACT; PROTEIN; UNCLASSIFIED DRUG;

BIOCHEMICAL COMPOSITION; CARBOHYDRATE; CATERPILLAR; CHEMICAL ANALYSIS; DECIDUOUS TREE; DICOTYLEDON; EXPERIMENTAL STUDY; LIPID; METHANE; MODEL VALIDATION; MULTIPLE REGRESSION; PROTEIN; SERICULTURE; WASTE;

ACID DETERGENT FIBER; ARTICLE; ASH; CHEMICAL COMPOSITION; INDEPENDENT VARIABLE; MULTIPLE REGRESSION; NONHUMAN; ORGANIC WASTE; PREDICTION; PRIORITY JOURNAL; QUALITY CONTROL; QUANTUM YIELD; SERICULTURE; SILKWORM;

ANIMALS; BIOCHEMISTRY; BIOTECHNOLOGY; BOMBYX; CARBOHYDRATES; CELLULOSE; JATROPHA; LIPIDS; METHANE; MORUS; PROTEINS; REGRESSION ANALYSIS; TEMPERATURE;

ASH; BIOTECHNOLOGY; CARBOHYDRATES; LIPIDS; MATHEMATICAL MODELS; METHANE; PROTEINS; REGRESSION ANALYSIS; SEWAGE; SILK; WASTES;

BOMBYX MORI; JATROPHA; JATROPHA CURCAS; MORUS INDICA;

EID: 63449107144     PISSN: 09608524     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.biortech.2009.02.005     Document Type: Article

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