Near Infrared Spectroscopy Based on Supervised Pattern Recognition Methods for Rapid Identification of Adulterated Edible Gelatin
The aim of this work is to identify the adulteration of edible gelatin using near-infrared (NIR) spectroscopy combined with supervised pattern recognition methods. The spectral data obtained from a total of 144 samples consisting of six kinds of adulterated gelatin gels with different mixture ratios...
Main Authors: | Hao Zhang, Haifeng Sun, Ling Wang, Shun Wang, Wei Zhang, Jiandong Hu |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2018-01-01
|
Series: | Journal of Spectroscopy |
Online Access: | http://dx.doi.org/10.1155/2018/7652592 |
Similar Items
-
Potential of Visible and Near Infrared Spectroscopy and Pattern Recognition for Rapid Quantification of Notoginseng Powder with Adulterants
by: Yidan Bao, et al.
Published: (2013-10-01) -
Rapid Identification of Pork Adulterated in the Beef and Mutton by Infrared Spectroscopy
by: Ling Yang, et al.
Published: (2018-01-01) -
Edible Gelatin Diagnosis Using Laser-Induced Breakdown Spectroscopy and Partial Least Square Assisted Support Vector Machine
by: Hao Zhang, et al.
Published: (2019-09-01) -
Near infrared spectroscopy as a rapid method for detecting paprika powder adulteration with corn flour
by: Zaukuu John-Lewis Z., et al.
Published: (2019-01-01) -
Detection of Adulteration in Camellia Oil Using Near-Infrared Spectroscopy
by: Luo Qingsong, et al.
Published: (2018-01-01)