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Quantification of the fat content of milk using a partial-least-squares method of data analysis in the near infrared

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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.

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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

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  • DOI: https://doi.org/10.1007/BF00324508

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