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Journal of Spectroscopy
Volume 2017 (2017), Article ID 1082612, 10 pages
https://doi.org/10.1155/2017/1082612
Research Article

Rancidity Estimation of Perilla Seed Oil by Using Near-Infrared Spectroscopy and Multivariate Analysis Techniques

1Department of Biosystems and Biomaterials Science and Engineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea
2Department of Bio-Industrial Machinery Engineering, Pusan National University, 1268-50 Samnangjin-ro, Cheonghak-ri, Samnangjin-eup, Miryang-si 50463, Republic of Korea
3Rural Human Resource Development Center, Rural Development Administration, 420 Nongsaengmyeong-ro, Wansan-gu, Jeonju-si 54874, Republic of Korea
4Research Institute of Agriculture and Life Sciences, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea

Correspondence should be addressed to Ghiseok Kim

Received 12 April 2017; Revised 10 July 2017; Accepted 19 July 2017; Published 17 September 2017

Academic Editor: Jose S. Camara

Copyright © 2017 Suk-Ju Hong et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Supplementary Material

Table S1. Loading matrix P calculated during PCR process. Table S2. Score matrix T calculated during PCR process. Table S3. Beta matrix calculated during PCR process. Table S4. Loading matrix P for measured spectrum (X matrix) calculated during PLSR process. Table S5. Loading matrix Q for reference values (Y matrix) calculated during PLSR process. Table S6. Score matrix T calculated during PLSR process. Table S7. Beta matrix calculated during PLSR process.

  1. Supplementary material
  2. Supplementary material