11 research outputs found
Chemometric classification of citrus juices of Moroccan cultivars by infrared spectroscopy
No full textFourier transform - infrared (FTIR) spectroscopy in connection with chemometric methodologies was used as a fast and direct analytical approach to classify citrus cultivars by the measurements on their juice. Modern multivariate analysis responds to the current needs for economic, simple, and fast methods able to classify new unknown samples with great accuracy. A set of 135 samples of citrus juice, representative of three cultivars (Hamlin, Muska, and Valencia), all picked in the same geographical area of Morocco, were analysed. Chemometric discrimination of the juice samples was achieved by principal component analysis (PCA) performed on the FTIR spectral data from the juice samples, showing an explained variance of 97.84% by considering only 2 PCs. A fully correct classification of the three Moroccan cultivars was then obtained by using Partial Least Square-Discriminant Analysis (PLS-DA) modelling procedure
Direct-infusion electrospray ionization-mass spectrometry analysis reveals atractyligenin derivatives as potential markers for green coffee postharvest discrimination
No full textImaginary optical constants in near-infrared (NIR) spectral range for the separation and discrimination of adulterated diesel oil binary mixtures
No full textA rapid method for measuring fat content in milk based on W-type optical fibre sensor system
No full textAuthenticity Tracing of Apples According to Variety and Geographical Origin Based on Electronic Nose and Electronic Tongue
No full textFTIR analysis and monitoring of used synthetic oils operated under similar driving conditions
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In Situ Monitoring of Nitrate Content in Leafy Vegetables Using Attenuated Total Reflectance − Fourier-Transform Mid-infrared Spectroscopy Coupled with Machine Learning Algorithm
No full textFast Discrimination of Milk Contaminated with Salmonella sp. Via Near-Infrared Spectroscopy
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