Kumar, N and Ranjan, R and Kumar, Y and Patel, SS and Vaddadi, SK and Appaiah, A and Gupta, KK and Panchariya, PC
(2021)
Discrimination of Various Pure Honey Samples and its Adulterants using FTIR Spectroscopy Coupled with
Chemometrics.
In: 7th International Conference on Advanced Computing and Communication Systems (ICACCS-2021), March 19-20, 2021, Sri Eshwar College of Engineering, Coimbatore, India.
Abstract
Various honey samples and possible adulterants has been characterized using Fourier Transform Infrared (FT-IR)
spectroscopy integrated with AIR sampling. Spectral data of twelve varieties of samples including mono-floral honey, multi-floral honey and different variety of adulterants has been collected in Mid-IR region (4000cm-'400cm-1). Spectral Mid-IR data has been corrected using baseline correction method and pre-processed using 2nd order derivative & Standard Normal Variate (SNV) methods for removal of any additive & multiplicative scattering effects. The principal component analysis (PCA) has been used for dimension reduction in the data set and exploratory data analysis of the honey and its adulterant samples. K-means, K-medians and Fuzzy C Means based classification model has been developed for the classification of pure honey samples and adulterants. Developed model has been cross-validated using
external samples. The proposed method shows 97-100%
discrimination ability for the given sample both in training and testing dataset.
Actions (login required)
 |
View Item |
