Detection and quantification of groundnut oil adulteration with machine learning using a comparative approach with NIRS and UV-VIS.

ABSTRACT: Groundnut oil is known as a good source of essential fatty acids which are significant in the physiological development of the human body. It has a distinctive fragrant making it ideal for cooking which contribute to its demand on the market. However, some groundnut oil producers have been suspected to produce groundnut oil by blending it with cheaper oils especially palm olein at different concentrations or by adding groundnut flavor to palm olein. Over the years, there have been several methods to detect adulteration in oils which are time-consuming and expensive. Near infrared (NIR) and ultraviolet-visible (UV-Vis) spectroscopies are cheap and rapid methods for oil adulteration. This present study aimed to apply NIR and UV-Vis in combination with chemometrics to develop models for predi

SUBMITTER: Zaukuu JZ 

PROVIDER: S-EPMC11383961 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature