Discrimination of Thymoquinone Using Near Infrared Spectroscopy Technique

• Published in: 2022 2nd International Conference on Emerging Frontiers in Electrical and Electronic Technologies (ICEFEET) pp. 1 - 2
• Main Authors: Banerjee, Sanjoy, Ghatak, Barnali, Naskar, Hemanta, Ghosh, Sukanta, Dhara, Milan, Ali, Sk. Babar, Das, Nityananda, Tudu, Bipan, Bandyopadhyay, Rajib
• Format: Conference Proceeding
• Language: English
• Published: IEEE 24.06.2022
• Subjects: discrimination; Near-infrared spectrometer; Oils; PCA; Principal component analysis; Seeds (agriculture); Spectroscopy; thymoquinone
• DOI: 10.1109/ICEFEET51821.2022.9847893

The present work represents the discrimination of four samples of thymoquinone (TQ) using near infrared (NIR) spectroscopy. Thymoquinone (TQ) bears anti-oxidant, anti-inflammatory, anti-viral, immune-modulatory, anti-microbial and anti-coagulant activities. Thymoquinone (TQ) is found as an active ingredient in black seed oil. The scanning range of NIR transmittance spectrum was selected from 900 nm - 1700 nm. To distinguish various TQ samples, raw NIR spectral data was used for clustering using Principal Component Analysis (PCA) method. The plot provided successful clustering of the four different samples where PCA1 explained 88.04%, and PCA2 explained 3.89%. Ten different replicas of data were taken into consideration for further analysis. Initial observations indicate that proper discrimination any food stuffs can be done using NIR spectroscopic technique.