Conclusions
In summation, PLS coupled with near-infrared spectroscopy is a powerful tool for analysis of fat content in milk. The diagnostics associated with the quantitative method help guide the user through the selection of proper parameters for a high-quality calibration. The low standard deviation of the fat content in milk indicates the applicability of this method to food analysis.
Similar content being viewed by others
References
Lodder RA, Hieftje GM (1988) Appl Spectrosc 556–558. Davies AMC (1987) European Spectrosc News 73:10–16. Crandall EWJ (1987) Chem Ed 466–467. Weyer LG (1965) Appl Spectrosc Rev 21:1–43
Grant A (1987) Int J of Food Sci 22:191–207. Martens M, Martens H (1986) Appl Spectrosc 303–310. Coventry AG, Hunston MJ (1984) Cereal Foods World 29:716–718. Halsey SA (1985) J Inst Brew 306–312. Watson CA (1977) Anal Chem 49:835A–840A
Biggs DAJ (1978) Assoc Off Anal Chem 1015–1023
Fuller MP, Ritter GL, Draper CS (1988) Appl Spectrosc 2:217–227. Fuller MP, Ritter GL, Draper CS (1988) Appl Spectrosc 2:228–236
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Carl, R.T. Quantification of the fat content of milk using a partial-least-squares method of data analysis in the near infrared. Fresenius J Anal Chem 339, 70–71 (1991). https://doi.org/10.1007/BF00324508
Issue Date:
DOI: https://doi.org/10.1007/BF00324508