SCOPUS 정보 검색 플랫폼

Volumn 125, Issue , 2014, Pages 248-256

Statistical analysis for improving data precision in the SPME GC-MS analysis of blackberry (Rubus ulmifolius Schott) volatiles

(6) D'Agostino, M F a Sanz, J b Martinez Castro I b Giuffre A M a Sicari, V a Soria, A C b

a UNIVERSITY MEDITERRANEA OF REGGIO CALABRIA (Italy)

b INSTITUTO DE QUÍMICA ORGÁNICA GENERAL (Spain)

Author keywords

Blackberry (Rubus ulmifolius Schott); Gas chromatography mass spectrometry (GC MS); Precision; Solid phase microextraction (SPME); Statistical analysis; Volatiles

Indexed keywords

DISPERSIONS; EIGENVALUES AND EIGENFUNCTIONS; EXTRACTION; GAS CHROMATOGRAPHY; MASS SPECTROMETRY; STATISTICAL METHODS; VOLATILE ORGANIC COMPOUNDS;

BLACKBERRY (RUBUS ULMIFOLIUS SCHOTT); GAS CHROMATOGRAPHY-MASS SPECTROMETRIES (GC-MS); PRECISION; SOLID-PHASE MICROEXTRACTION; VOLATILES;

PRINCIPAL COMPONENT ANALYSIS;

VOLATILE ORGANIC COMPOUND;

CHEMISTRY; FOOD ANALYSIS; MASS FRAGMENTOGRAPHY; PRINCIPAL COMPONENT ANALYSIS; REFERENCE VALUE; REPRODUCIBILITY; RUBUS; SOLID PHASE MICROEXTRACTION; STATISTICAL ANALYSIS;

DATA INTERPRETATION, STATISTICAL; FOOD ANALYSIS; GAS CHROMATOGRAPHY-MASS SPECTROMETRY; PRINCIPAL COMPONENT ANALYSIS; REFERENCE VALUES; REPRODUCIBILITY OF RESULTS; RUBUS; SOLID PHASE MICROEXTRACTION; VOLATILE ORGANIC COMPOUNDS;

EID: 84897458557 PISSN: 00399140 EISSN: None Source Type: Journal
DOI: 10.1016/j.talanta.2014.02.058 Document Type: Article

Times cited : (28)

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