Rancidity Estimation of Perilla Seed Oil by Using Near-Infrared Spectroscopy and Multivariate Analysis Techniques
Near-infrared spectroscopy and multivariate analysis techniques were employed to nondestructively evaluate the rancidity of perilla seed oil by developing prediction models for the acid and peroxide values. The acid, peroxide value, and transmittance spectra of perilla seed oil stored in two differe...
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2017-01-01
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| Series: | Journal of Spectroscopy |
| Online Access: | http://dx.doi.org/10.1155/2017/1082612 |
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| author | Suk-Ju Hong Shin-Joung Rho Ah-Yeong Lee Heesoo Park Jinshi Cui Jongmin Park Soon-Jung Hong Yong-Ro Kim Ghiseok Kim |
| author_facet | Suk-Ju Hong Shin-Joung Rho Ah-Yeong Lee Heesoo Park Jinshi Cui Jongmin Park Soon-Jung Hong Yong-Ro Kim Ghiseok Kim |
| author_sort | Suk-Ju Hong |
| collection | DOAJ |
| description | Near-infrared spectroscopy and multivariate analysis techniques were employed to nondestructively evaluate the rancidity of perilla seed oil by developing prediction models for the acid and peroxide values. The acid, peroxide value, and transmittance spectra of perilla seed oil stored in two different environments for 96 and 144 h were obtained and used to develop prediction models for different storage conditions and time periods. Preprocessing methods were applied to the transmittance spectra of perilla seed oil, and multivariate analysis techniques, such as principal component regression (PCR), partial least squares regression (PLSR), and artificial neural network (ANN) modeling, were employed to develop the models. Titration analysis shows that the free fatty acids in an oil oxidation process were more affected by relative humidity than temperature, whereas peroxides in an oil oxidation process were more significantly affected by temperature than relative humidity for the two different environments in this study. Also, the prediction results of ANN models for both acid and peroxide values were the highest among the developed models. These results suggest that the proposed near-infrared spectroscopy technique with multivariate analysis can be used for the nondestructive evaluation of the rancidity of perilla seed oil, especially the acid and peroxide values. |
| format | Article |
| id | doaj-art-629a7c3a64ee40ed9db37ab15e566021 |
| institution | Kabale University |
| issn | 2314-4920 2314-4939 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Spectroscopy |
| spelling | doaj-art-629a7c3a64ee40ed9db37ab15e5660212025-02-03T01:33:28ZengWileyJournal of Spectroscopy2314-49202314-49392017-01-01201710.1155/2017/10826121082612Rancidity Estimation of Perilla Seed Oil by Using Near-Infrared Spectroscopy and Multivariate Analysis TechniquesSuk-Ju Hong0Shin-Joung Rho1Ah-Yeong Lee2Heesoo Park3Jinshi Cui4Jongmin Park5Soon-Jung Hong6Yong-Ro Kim7Ghiseok Kim8Department of Biosystems and Biomaterials Science and Engineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of KoreaDepartment of Biosystems and Biomaterials Science and Engineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of KoreaDepartment of Biosystems and Biomaterials Science and Engineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of KoreaDepartment of Biosystems and Biomaterials Science and Engineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of KoreaDepartment of Biosystems and Biomaterials Science and Engineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of KoreaDepartment of Bio-Industrial Machinery Engineering, Pusan National University, 1268-50 Samnangjin-ro, Cheonghak-ri, Samnangjin-eup, Miryang-si 50463, Republic of KoreaRural Human Resource Development Center, Rural Development Administration, 420 Nongsaengmyeong-ro, Wansan-gu, Jeonju-si 54874, Republic of KoreaDepartment of Biosystems and Biomaterials Science and Engineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of KoreaDepartment of Biosystems and Biomaterials Science and Engineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of KoreaNear-infrared spectroscopy and multivariate analysis techniques were employed to nondestructively evaluate the rancidity of perilla seed oil by developing prediction models for the acid and peroxide values. The acid, peroxide value, and transmittance spectra of perilla seed oil stored in two different environments for 96 and 144 h were obtained and used to develop prediction models for different storage conditions and time periods. Preprocessing methods were applied to the transmittance spectra of perilla seed oil, and multivariate analysis techniques, such as principal component regression (PCR), partial least squares regression (PLSR), and artificial neural network (ANN) modeling, were employed to develop the models. Titration analysis shows that the free fatty acids in an oil oxidation process were more affected by relative humidity than temperature, whereas peroxides in an oil oxidation process were more significantly affected by temperature than relative humidity for the two different environments in this study. Also, the prediction results of ANN models for both acid and peroxide values were the highest among the developed models. These results suggest that the proposed near-infrared spectroscopy technique with multivariate analysis can be used for the nondestructive evaluation of the rancidity of perilla seed oil, especially the acid and peroxide values.http://dx.doi.org/10.1155/2017/1082612 |
| spellingShingle | Suk-Ju Hong Shin-Joung Rho Ah-Yeong Lee Heesoo Park Jinshi Cui Jongmin Park Soon-Jung Hong Yong-Ro Kim Ghiseok Kim Rancidity Estimation of Perilla Seed Oil by Using Near-Infrared Spectroscopy and Multivariate Analysis Techniques Journal of Spectroscopy |
| title | Rancidity Estimation of Perilla Seed Oil by Using Near-Infrared Spectroscopy and Multivariate Analysis Techniques |
| title_full | Rancidity Estimation of Perilla Seed Oil by Using Near-Infrared Spectroscopy and Multivariate Analysis Techniques |
| title_fullStr | Rancidity Estimation of Perilla Seed Oil by Using Near-Infrared Spectroscopy and Multivariate Analysis Techniques |
| title_full_unstemmed | Rancidity Estimation of Perilla Seed Oil by Using Near-Infrared Spectroscopy and Multivariate Analysis Techniques |
| title_short | Rancidity Estimation of Perilla Seed Oil by Using Near-Infrared Spectroscopy and Multivariate Analysis Techniques |
| title_sort | rancidity estimation of perilla seed oil by using near infrared spectroscopy and multivariate analysis techniques |
| url | http://dx.doi.org/10.1155/2017/1082612 |
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