Effect of multiplicative scatter correction on wavelength selection for near infrared calibration to determine fat content in raw milk

Jie Yu Chen, Chie Iyo, Fuminori Terada, Sumio Kawano

Research output: Contribution to journalArticle

53 Citations (Scopus)

Abstract

The effect of multiplicative scatter correction (MSC) on wavelength selection for near infrared (NIR) calibration to determine fat content in raw milk was investigated. Short-wave NIR spectra (700-1100 nm) of raw milk samples were measured. The calibration equations for fat content were performed by multiple linear regression (MLR) using original, second derivative and MSC-treated spectra. It was found that first wavelength selection from the fat absorption band for a calibration equation was generally effective in all cases of original, second derivative and MSC-treated spectra. However, correlation plots did not always work well because of the multiplicative scatter effect presented in the samples. Whereas, correlation plots were still useful in the case of MSC-treated spectra and normalised second derivative spectra, even when the original spectra exhibited a multiplicative scatter effect.

Original languageEnglish
Pages (from-to)301-307
Number of pages7
JournalJournal of Near Infrared Spectroscopy
Volume10
Issue number4
DOIs
Publication statusPublished - 2002 Jan 1
Externally publishedYes

Keywords

  • Fat content
  • MLR
  • MSC
  • Milk
  • NIR transmittance

ASJC Scopus subject areas

  • Spectroscopy

Fingerprint Dive into the research topics of 'Effect of multiplicative scatter correction on wavelength selection for near infrared calibration to determine fat content in raw milk'. Together they form a unique fingerprint.

  • Cite this