Author(s)

Fredrick Luyangi¹, Eliangiringa Kaale^2,3, Vicky Manyanga^2,3, Veronica Mugoyela²

¹Tanzania Food and Drugs Authority, Dodoma, Tanzania.
²Department of Medicinal Chemistry, Muhimbili University of Health and Allied Sciences (MUHAS), Dar es Salaam, Tanzania.
³Pharm R&D Lab, School of Pharmacy, Muhimbili University of Health and Allied Sciences (MUHAS), Dar es Salaam, Tanzania.

Near infrared spectroscopy offers advantages in the analysis of vegetable oils such as rapidity, relative cost-effectiveness, and usually no need for sample preparation. Virgin Sunflower oils were used as reference standards to develop spectra library for qualitative identification and validation of the method. This model was validated by correct classification method using positive and negative control samples. Various market samples of virgin sunflower oil were purchased and compared with spectra library. The results of spectral analysis of reference library and market samples were correlated using Mahalanobis distance method. Analysis involved 22 market samples. When these samples were matched against calibration samples, 4 samples out of 22 which are about 18.2% were not matched by the reference model. These market samples had Mahalanobis distance values between 4.2 and 6.7, which are greater than maximum permissible value of 3. Some of adulterants mentioned were Korie oil and pumpkin seeds oil.

Mahalanobis Distance, Near Infrared, Mean Center Correction and Virgin Sunflower Oil

Luyangi, F. , Kaale, E. , Manyanga, V. and Mugoyela, V. (2017) Development of a Qualitative near Infrared Screening Method for Quality Consistency Assessment of Virgin Sunflower Oil. Spectral Analysis Review, 5, 25-36. doi: 10.4236/sar.2017.53003.