Investigating the potential of Fourier transform mid-infrared spectroscopy combined with chemometrics for detecting camel’s milk adulteration (2024)

Main Article Content

Omar Ait El Alia

Laboratory of the Engineering and Applied Technologies, Higher School of Technology, Sultan Moulay Slimane University, Morocco


Yassine Zine-Eddine

Laboratory of the Engineering and Applied Technologies, Higher School of Technology, Sultan Moulay Slimane University, Morocco


Said Souhassou

Laboratory of the Engineering and Applied Technologies, Higher School of Technology, Sultan Moulay Slimane University, Morocco


Salah Chaji

Department of Drug Science and Technology, University of Turin, Turin, Italy


Irfan Aamer Ansari

Department of Drug Science and Technology, University of Turin, Turin, Italy

https://orcid.org/0000-0001-5375-0006
Zaker Rehan Mohammed

Department of Agricultural, Forestry and Food Science, University of Turin, Turin, Italy


Fouzia Kzaiber

Laboratory of the Engineering and Applied Technologies, Higher School of Technology, Sultan Moulay Slimane University, Morocco


Abdelkhalek Oussama

Laboratory of the Engineering and Applied Technologies, Higher School of Technology, Sultan Moulay Slimane University, Morocco


Siddique Akber Ansari

Department of Pharmaceutical Chemistry, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia


Khalid Boutoial

Laboratory of the Engineering and Applied Technologies, Higher School of Technology, Sultan Moulay Slimane University, Morocco


Keywords

Abstract

This study explores the effectiveness of mid-infrared (MIR) spectroscopy in combination with chemometrics as an alternative to sensory analysis for detecting camel’s milk adulteration with cow’s milk. A paired comparison test involving various concentrations of adulterants was initially conducted to assess consumers’ ability to detect such adulteration. The analysis successfully classified samples into adulterated and authentic camel’s milk using principal component (PC) analysis and hierarchical cluster analysis. Moreover, the application of partial least squares regression and PC regression calibration models demonstrated high-performance capabilities in revealing the level of adulteration. These findings highlight the potential of MIR spectroscopy combined with chemometrics for the authentication of camel’s milk.

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Investigating the potential of Fourier transform mid-infrared spectroscopy combined with chemometrics for detecting camel’s milk adulteration (2024)
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