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Volumn 595, Issue 1-2 SPEC. ISS., 2007, Pages 176-181

The use of multivariate modelling of near infra-red spectra to predict the butter fat content of spreads

Author keywords

Butter fats; Gas chromatography; Multivariate analysis; Near infrared; Partial least squares; Principal component analysis

Indexed keywords

FATTY ACIDS; GAS CHROMATOGRAPHY; LEAST SQUARES APPROXIMATIONS; NEAR INFRARED SPECTROSCOPY; PRINCIPAL COMPONENT ANALYSIS;

EID: 34347381527     PISSN: 00032670     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aca.2007.01.048     Document Type: Article
Times cited : (48)

References (18)
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    • Williams P., and Norris K. (Eds), American Association of Cereal Chemists, St. Paul, Minnesota, USA
    • In: Williams P., and Norris K. (Eds). Near-Infrared Technology in the Agricultural and Food Industries. second ed. (2001), American Association of Cereal Chemists, St. Paul, Minnesota, USA
    • (2001) Near-Infrared Technology in the Agricultural and Food Industries. second ed.
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    • Handbook of organic compounds, NIR, IR, Raman, and UV-VIS spectra featuring polymers and surfactants
    • Academic Press, London
    • Workman J. Handbook of organic compounds, NIR, IR, Raman, and UV-VIS spectra featuring polymers and surfactants. Methods and Interpretations 1 (2001), Academic Press, London
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    • Workman, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.