Chemical indices and methods of multivariate statistics as a tool for odor classification

Environmental Science and Technology

Volumn 41, Issue 7, 2007, Pages 2414-2421

  Mahlke, Ingo T ^a   Thiesen, Peter H ^a   Niemeyer, Bernd ^a,b  

^a HELMUT SCHMIDT UNIVERSITY   (Germany)

^b INSTITUTE OF MATERIALS RESEARCH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

MATHEMATICAL MODELS; MOLECULAR STRUCTURE; ODOR CONTROL; PRINCIPAL COMPONENT ANALYSIS; SCRUBBERS;

MOLECULAR SHAPE; MULTIVARIATE STATISTICS; ODOROUS COMPOUNDS;

WASTE TREATMENT;

FAT; VOLATILE AGENT;

MATHEMATICAL MODELS; MOLECULAR STRUCTURE; ODOR CONTROL; PRINCIPAL COMPONENT ANALYSIS; SCRUBBERS; WASTE TREATMENT;

CHEMICAL METHOD; MULTIVARIATE ANALYSIS; ODOR; VOLATILE ELEMENT;

AIR POLLUTION; ANALYTIC METHOD; ARTICLE; CACAO; COFFEE; LIVESTOCK; MOLECULAR SIZE; MULTIVARIATE ANALYSIS; ODOR; PRINCIPAL COMPONENT ANALYSIS; QUANTITATIVE ANALYSIS; STANDARDIZATION; STATISTICAL ANALYSIS; THEORETICAL STUDY; THERMODYNAMICS; WASTE GAS MANAGEMENT;

CLASSIFICATION; CLUSTER ANALYSIS; GASES; MODELS, CHEMICAL; MOLECULAR STRUCTURE; MULTIVARIATE ANALYSIS; ODORS; ORGANIC CHEMICALS; PRINCIPAL COMPONENT ANALYSIS; VOLATILIZATION; WASTE PRODUCTS;

THEOBROMA CACAO;

EID: 34247093419     PISSN: 0013936X     EISSN: None     Source Type: Journal    
DOI: 10.1021/es060512z     Document Type: Article

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