Detection of camel milk adulteration using Fourier transformed infrared spectroscopy FT-IR coupled with chemometrics methods


Citation

Hirri A., . and Bassbasi M., . and Kzaiber F., . and Oussama A., . and Souhassou S., . Detection of camel milk adulteration using Fourier transformed infrared spectroscopy FT-IR coupled with chemometrics methods. pp. 1213-1218. ISSN 2231-754

Abstract

Fourier transform infrared spectroscopy (FT-MIR) coupled with chemomet-ric methods has been applied for a fast and non-destructive quantitative determination of the adulteration of camel milk by cow milk. Mesurements were made on pure camel milk and that adulterated with varying concentrations of camel milk ( 1 “ 40 (wt/wt) in camel milk). A Partial Least Squares regression (PLS) method has been applied to predict added cow milk in camel milk based on modeling FTIR spectral absorption measurements. The fingerprint region at 3000“920 cm- were exploited for Partial Least Squares regression (PLS) without pretreatment and with different pretreatment ways (Gap Segment Derivatives Savitzky-Gloay Derivatives Noris Gap Derivatives and Standard Normal Variate). The obtained successful results (3.8 of relative error in the prediction) demonstrated that FT-MIR joined with chemometrics could be used as a rapid and non-destructive method for authentication of camel milk.


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Abstract

Fourier transform infrared spectroscopy (FT-MIR) coupled with chemomet-ric methods has been applied for a fast and non-destructive quantitative determination of the adulteration of camel milk by cow milk. Mesurements were made on pure camel milk and that adulterated with varying concentrations of camel milk ( 1 “ 40 (wt/wt) in camel milk). A Partial Least Squares regression (PLS) method has been applied to predict added cow milk in camel milk based on modeling FTIR spectral absorption measurements. The fingerprint region at 3000“920 cm- were exploited for Partial Least Squares regression (PLS) without pretreatment and with different pretreatment ways (Gap Segment Derivatives Savitzky-Gloay Derivatives Noris Gap Derivatives and Standard Normal Variate). The obtained successful results (3.8 of relative error in the prediction) demonstrated that FT-MIR joined with chemometrics could be used as a rapid and non-destructive method for authentication of camel milk.

Additional Metadata

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Item Type: Article
AGROVOC Term: Camel milk
AGROVOC Term: Food adulteration
AGROVOC Term: Infrared spectrophotometry
AGROVOC Term: Cow milk
AGROVOC Term: Adulteration
AGROVOC Term: Food safety
AGROVOC Term: Food ingredients
AGROVOC Term: Food science
Depositing User: Ms. Suzila Mohamad Kasim
Last Modified: 24 Apr 2025 06:29
URI: http://webagris.upm.edu.my/id/eprint/24660

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