The objective of this study was to discriminate the samples with different piperine content using near-infrared reflectance (NIR) spectroscopy. Twenty black pepper samples were collected from different parts of West Bengal, India. Clustering analysis was carried out using principal component analysis (PCA) and linear discriminant analysis (LDA) on the collected samples. The cluster separability criterion was used for quantifying the separability. The separation index was obtained as 3368.4, which establishes the utility of the NIR instrument for discrimination of the black pepper samples based on their piperine content.
Application of NIR Spectroscopy with Chemometrics for Discrimination of Indian Black Pepper Berries
Lect. Notes Electrical Eng.
2023-03-12
8 pages
Article/Chapter (Book)
Electronic Resource
English
NIR spectroscopy , Medicinal plant , Piperine , Black pepper , Principal component analysis (PCA) , Linear discriminant analysis (LDA) , Separability index Engineering , Control, Robotics, Mechatronics , Electronics and Microelectronics, Instrumentation , Signal, Image and Speech Processing , Power Electronics, Electrical Machines and Networks , Physics and Astronomy
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