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Volumn 181, Issue , 2013, Pages 690-693

Development of a method for butter type differentiation by electronic nose technology

Author keywords

Butter type differentiation; Electronic nose technology; Multivariate statistics

Indexed keywords

ELECTRONIC NOSE; ELECTRONIC NOSE (E-NOSE); LINEAR DISCRIMINANT ANALYSIS; METAL OXIDE SEMICONDUCTOR; MULTIVARIATE STATISTICS; PARTIAL LEAST SQUARE (PLS);

EID: 84875159649     PISSN: 09254005     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.snb.2013.01.034     Document Type: Article
Times cited : (19)

References (4)
  • 2
    • 0006302990 scopus 로고    scopus 로고
    • Chemometric identification of butter types by analysis of compositional parameters with neural networks
    • H. Meisel, P.Chr. Lorenzen, D. Martin, and E. Schlimme Chemometric identification of butter types by analysis of compositional parameters with neural networks Nahrung/Food 41 1997 75 80 (Pubitemid 127497599)
    • (1997) Nahrung - Food , vol.41 , Issue.2 , pp. 75-80
    • Meisel, H.1    Lorenzen, P.Chr.2    Martin, D.3    Schlimme, E.4
  • 4
    • 70349297485 scopus 로고    scopus 로고
    • Prediction of the identity of fats and oils by their fatty acid, triacylglycerol and volatile compositions using PLS-DA
    • S. van Ruth, B. Villegas, W. Akkermans, M. Rozijn, H. van der Kamp, and A. Koot Prediction of the identity of fats and oils by their fatty acid, triacylglycerol and volatile compositions using PLS-DA Food Chemistry 118 2010 948 955
    • (2010) Food Chemistry , vol.118 , pp. 948-955
    • Van Ruth, S.1    Villegas, B.2    Akkermans, W.3    Rozijn, M.4    Van Der Kamp, H.5    Koot, A.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.