Araştırma Makalesi
PDF Zotero Mendeley EndNote BibTex Kaynak Göster

MISIR YAĞINDA YAĞ ASİTLERİNİN UV-VIS SPEKTROSKOPİSİ VE KEMOMETRİK YÖNTEMLER YARDIMIYLA TESPİT EDİLMESİ

Yıl 2017, Cilt 3, Sayı 3, 82 - 89, 25.03.2017
https://doi.org/10.3153/JFHS17011

Öz

Bu çalışmada ham mısır yağında bazı yağ asitlerinin UV-Vis spektroskopi yöntemiyle tespitinde kemometrik tekniklerin etkisinin araştırılması amaçlanmıştır. Araştırmada 50 farklı mısır genotipine ait yağ numunesinde oleik asit, linoleik asit, toplam tekli doymamış yağ asitleri ile toplam çoklu doymamış yağ asitleri belirlenmiştir. Aynı yağ örneklerinin absorbans değerleri (190-320 nm arası) UV-Vis spektrofotometre kullanılarak kayıt edilmiştir. Ham spektrumlar (200-300 nm arası) ve düzleştirme yapılmış spektral veri kullanılarak kısmi en küçük kareler regresyonu (PLS), ve çoklu doğrusal regresyon (MLR) metotlarına göre tahmin modelleri oluşturulmuştur. Bu modellerde PLS ile tam spektrum (200-300 nm arası), Ardışık Projeksiyon Algoritması-Çoklu Doğrusal Regresyon (SPA-MLR) ile seçilmiş dalga boyları ve Rekabetçi Uyarlamalı Yeniden Ağırlıklandırılmış Örnekleme-Kısmi En Küçük Kareler (CARS-PLS) ile seçilmiş dalga boyu aralıkları kullanılmıştır. Modelleme çalışmaları Matlab 7.0 programında libPLS ve SPA paketleri yardımıyla gerçekleştirilmiş ve her bir özellik için altışar ayrı model geliştirilmiştir. Araştırma sonuçları; oluşturulan modellerde dalga boyu seçimi ve spektral verinin düzleştirilmesi ile tahmin gücünün önemli şekilde arttığını göstermiştir. Sonuç olarak UV-Vis spektroskopisi kullanarak mısır yağında yağ asitleri içeriğinin etkili dalga boyu seçim yöntemleri kullanılarak güvenilir şekilde tespit edilebileceği anlaşılmıştır.

Kaynakça

  • Araujo, M.C.U., Saldanha, T.C.B., Galvao, R.K.H., Yoneyama, T., Chame, H.C. & Visani, V. (2001). The successive projections algorithm for variable selection in spectroscopic multicomponent analysis. Chemometrics & Intelligent Laboratory Systems, 57, 65–73.
  • Dumancas, G.G., Muriuki, M., Purdie, N. & Reilly, L. (2011). Simultaneous spectrophotometric and chemometric determination of oleic, linoleic, and linolenic fatty acids in vegetable oils, Proceedings of the World Congress on Engineering 2011 Vol III WCE 2011, July 6 - 8, 2011, London, U.K.
  • Dunlap, F.G., White, P.J., Pollak, L.M. & Brummd, T.J. (1995). Fatty acid composition of oil from adapted, elite corn breeding materials. AOCS 72, 981-987.
  • Egesel, C.O., Kahrıman, F. & Gül, M.K. (2011). Discrimination of maize inbreds for kernel quality traits and fatty acid composition by a multivariate technique. Acta Scientiarum Agronomy Maringá, 33, 613-620.
  • Egesel C.Ö. & Kahrıman F. (2012). Determination of quality parameters in maize by NIR reflectance spectroscopy. Journal of Agricultural Sciences, 18, 43-53.
  • Fernandes, D.D.S., Gomes, A.A., da Costa, G.B., da Silva, G.W.B. & Véras, G. (2011). Determination of biodiesel content in biodiesel/diesel blends using NIR and visible spectroscopy with variable selection. Talanta, 87, 30–34.
  • Fülöp, A. & Hancsok, J. (2009). Comparison of calibration models based on near infrared spectroscopy data for the determination of plant oil properties. Chemical Engineering Transactions, 17, 445-450.
  • Galvão, R.K.H., Araújo, M.C.U., Silva, E.C., José, G.E., Soares, S.F.C. & Paiva, H.M. (2007). On the use of Cross-validation for the selection of spectral variables using the successive projections algorithm, Journal of the Brazilian Chemical Society, 18, 1580–1584.
  • Kong, W., Zhao, Y., Liu, F., He, Y., Tian, T. & Zhou, W. (2012). Fast analysis of superoxide dismutase (SOD) activity in barley using visible and near infrared spectroscopy, Sensors, 12, 10871-10880.
  • Kongbonga, Y.G.M., Ghalila, Onana, M.B., Majdi, Y., Lakhdar, Z.B., Mezlini, H. & Sevestre-Ghalila, S. (2011). Characterization of vegetable oils by fluorescence spectroscopy, Food and Nutrition Sciences, 2011, 692-699.
  • Li H.-D., Xu Q.-S. & Liang Y.-Z. (2014). libPLS: An integrated library for partial least squares regression and discriminant analysis. Peer J PrePrints 2:e190v1, source codes available at www.libpls.net.
  • Meghea, A., Borlescu, C., Badea, N. & Demetrescu, I., (2006). Skin protective materials for human operators working in industrial environment, World Congress on Medical Physics and Biomedical Engineering 2006 Volume 14 of the series IFMBE Proceedings pp 3322-3325.
  • Öz, A. & Kapar, H. (2007). Mısırın yağ içeriği ve yağ sanayi açısından önemi. 1.Ulusal Yağlı Tohumlu Bitkiler ve Biyodizel Sempozyumu, 28-31 Mayıs 2007, Samsun, 388-391.
  • Pajic, Z. (2007). Breeding of maize types with specific traits at the Maize Research Institute, Zemun polje. Genetika, 39, 169-180.
  • Upstone S., (2010). Measurement of quality of crude palm oils used in margarine production by UV/Visible Spectroscopy, Perkin Elmer.
  • Wang, H., Peng, J., Xie, C., Bao, Y. & He, Y. (2015). Fruit quality evaluation using spectroscopy technology:A Review, Sensors, 15: 11889-11927.
  • Wójcicki, K., Khmelinskii, I., Sikorski, M., Caponio, F. & Paradiso, V. M. (2015). Spectroscopic techniques and chemometrics in analysis of blends of extra virgin with refined and mild deodorized olive oils. European Journal of Lipid Science and Technology, 117, 92-102.

DETERMINATION OF FATTY ACIDS IN MAIZE OIL USING UV-VIS SPECTROSCOPY AND CHEMOMETRIC TECHNIQUES

Yıl 2017, Cilt 3, Sayı 3, 82 - 89, 25.03.2017
https://doi.org/10.3153/JFHS17011

Öz

In this study, it was aimed to investigate the effect of chemometric techniques on the detection of some fatty acids in crude maize oil by UV-Vis spectroscopy. In the study, oleic acid, linoleic acid, total polyunsaturated fatty acids and total polyunsaturated fatty acids were determined on the oil samples of 50 different maize genotypes. The absorbance values ​​(190-320 nm) of the same oil samples were recorded using a UV-Vis spectrophotometer. Prediction models were constructed according to Partial Least Squares Regression (PLS), and Multiple Linear Regression (MLR) methods using raw and smoothed spectral data. In these models, full spectrum (between 200-300 nm), selected wavelengths with SPA-MLR and selected wavelengths with CARS-PLS were used. Modeling studies were performed using libPLS and SPA packages in Matlab 7.0 and six separate models were developed for each dependent variable. Results showed that the estimation power increases significantly with the selection of the effective wavelengths and smoothing the spectral data in the generated models. As a result, it has been understood that the content of fatty acids in maize oil can be reliably detected by using UV-Vis spectroscopy using effective wavelength selection methods.

Kaynakça

  • Araujo, M.C.U., Saldanha, T.C.B., Galvao, R.K.H., Yoneyama, T., Chame, H.C. & Visani, V. (2001). The successive projections algorithm for variable selection in spectroscopic multicomponent analysis. Chemometrics & Intelligent Laboratory Systems, 57, 65–73.
  • Dumancas, G.G., Muriuki, M., Purdie, N. & Reilly, L. (2011). Simultaneous spectrophotometric and chemometric determination of oleic, linoleic, and linolenic fatty acids in vegetable oils, Proceedings of the World Congress on Engineering 2011 Vol III WCE 2011, July 6 - 8, 2011, London, U.K.
  • Dunlap, F.G., White, P.J., Pollak, L.M. & Brummd, T.J. (1995). Fatty acid composition of oil from adapted, elite corn breeding materials. AOCS 72, 981-987.
  • Egesel, C.O., Kahrıman, F. & Gül, M.K. (2011). Discrimination of maize inbreds for kernel quality traits and fatty acid composition by a multivariate technique. Acta Scientiarum Agronomy Maringá, 33, 613-620.
  • Egesel C.Ö. & Kahrıman F. (2012). Determination of quality parameters in maize by NIR reflectance spectroscopy. Journal of Agricultural Sciences, 18, 43-53.
  • Fernandes, D.D.S., Gomes, A.A., da Costa, G.B., da Silva, G.W.B. & Véras, G. (2011). Determination of biodiesel content in biodiesel/diesel blends using NIR and visible spectroscopy with variable selection. Talanta, 87, 30–34.
  • Fülöp, A. & Hancsok, J. (2009). Comparison of calibration models based on near infrared spectroscopy data for the determination of plant oil properties. Chemical Engineering Transactions, 17, 445-450.
  • Galvão, R.K.H., Araújo, M.C.U., Silva, E.C., José, G.E., Soares, S.F.C. & Paiva, H.M. (2007). On the use of Cross-validation for the selection of spectral variables using the successive projections algorithm, Journal of the Brazilian Chemical Society, 18, 1580–1584.
  • Kong, W., Zhao, Y., Liu, F., He, Y., Tian, T. & Zhou, W. (2012). Fast analysis of superoxide dismutase (SOD) activity in barley using visible and near infrared spectroscopy, Sensors, 12, 10871-10880.
  • Kongbonga, Y.G.M., Ghalila, Onana, M.B., Majdi, Y., Lakhdar, Z.B., Mezlini, H. & Sevestre-Ghalila, S. (2011). Characterization of vegetable oils by fluorescence spectroscopy, Food and Nutrition Sciences, 2011, 692-699.
  • Li H.-D., Xu Q.-S. & Liang Y.-Z. (2014). libPLS: An integrated library for partial least squares regression and discriminant analysis. Peer J PrePrints 2:e190v1, source codes available at www.libpls.net.
  • Meghea, A., Borlescu, C., Badea, N. & Demetrescu, I., (2006). Skin protective materials for human operators working in industrial environment, World Congress on Medical Physics and Biomedical Engineering 2006 Volume 14 of the series IFMBE Proceedings pp 3322-3325.
  • Öz, A. & Kapar, H. (2007). Mısırın yağ içeriği ve yağ sanayi açısından önemi. 1.Ulusal Yağlı Tohumlu Bitkiler ve Biyodizel Sempozyumu, 28-31 Mayıs 2007, Samsun, 388-391.
  • Pajic, Z. (2007). Breeding of maize types with specific traits at the Maize Research Institute, Zemun polje. Genetika, 39, 169-180.
  • Upstone S., (2010). Measurement of quality of crude palm oils used in margarine production by UV/Visible Spectroscopy, Perkin Elmer.
  • Wang, H., Peng, J., Xie, C., Bao, Y. & He, Y. (2015). Fruit quality evaluation using spectroscopy technology:A Review, Sensors, 15: 11889-11927.
  • Wójcicki, K., Khmelinskii, I., Sikorski, M., Caponio, F. & Paradiso, V. M. (2015). Spectroscopic techniques and chemometrics in analysis of blends of extra virgin with refined and mild deodorized olive oils. European Journal of Lipid Science and Technology, 117, 92-102.

Ayrıntılar

Konular Gıda Bilimi ve Teknolojisi
Bölüm Articles
Yazarlar

Fatih KAHRIMAN
ÇANAKKALE ONSEKİZ MART ÜNİVERSİTESİ, ZİRAAT FAKÜLTESİ, TARLA BİTKİLERİ BÖLÜMÜ
Türkiye

Yayımlanma Tarihi 25 Mart 2017
Başvuru Tarihi 26 Aralık 2016
Kabul Tarihi 21 Mart 2017
Yayınlandığı Sayı Yıl 2017, Cilt 3, Sayı 3

Kaynak Göster

Bibtex @araştırma makalesi { jfhs300528, journal = {Food and Health}, issn = {}, eissn = {2602-2834}, address = {Vidin Caddesi No:28 D:4 Kocamustafapaşa 34107 Fatih İstanbul}, publisher = {Özkan ÖZDEN}, year = {2017}, volume = {3}, pages = {82 - 89}, doi = {10.3153/JFHS17011}, title = {DETERMINATION OF FATTY ACIDS IN MAIZE OIL USING UV-VIS SPECTROSCOPY AND CHEMOMETRIC TECHNIQUES}, key = {cite}, author = {Kahrıman, Fatih} }
APA Kahrıman, F. (2017). DETERMINATION OF FATTY ACIDS IN MAIZE OIL USING UV-VIS SPECTROSCOPY AND CHEMOMETRIC TECHNIQUES . Food and Health , 3 (3) , 82-89 . DOI: 10.3153/JFHS17011
MLA Kahrıman, F. "DETERMINATION OF FATTY ACIDS IN MAIZE OIL USING UV-VIS SPECTROSCOPY AND CHEMOMETRIC TECHNIQUES" . Food and Health 3 (2017 ): 82-89 <http://jfhs.scientificwebjournals.com/tr/pub/issue/28293/300528>
Chicago Kahrıman, F. "DETERMINATION OF FATTY ACIDS IN MAIZE OIL USING UV-VIS SPECTROSCOPY AND CHEMOMETRIC TECHNIQUES". Food and Health 3 (2017 ): 82-89
RIS TY - JOUR T1 - DETERMINATION OF FATTY ACIDS IN MAIZE OIL USING UV-VIS SPECTROSCOPY AND CHEMOMETRIC TECHNIQUES AU - Fatih Kahrıman Y1 - 2017 PY - 2017 N1 - doi: 10.3153/JFHS17011 DO - 10.3153/JFHS17011 T2 - Food and Health JF - Journal JO - JOR SP - 82 EP - 89 VL - 3 IS - 3 SN - -2602-2834 M3 - doi: 10.3153/JFHS17011 UR - https://doi.org/10.3153/JFHS17011 Y2 - 2017 ER -
EndNote %0 Food and Health DETERMINATION OF FATTY ACIDS IN MAIZE OIL USING UV-VIS SPECTROSCOPY AND CHEMOMETRIC TECHNIQUES %A Fatih Kahrıman %T DETERMINATION OF FATTY ACIDS IN MAIZE OIL USING UV-VIS SPECTROSCOPY AND CHEMOMETRIC TECHNIQUES %D 2017 %J Food and Health %P -2602-2834 %V 3 %N 3 %R doi: 10.3153/JFHS17011 %U 10.3153/JFHS17011
ISNAD Kahrıman, Fatih . "DETERMINATION OF FATTY ACIDS IN MAIZE OIL USING UV-VIS SPECTROSCOPY AND CHEMOMETRIC TECHNIQUES". Food and Health 3 / 3 (Mart 2017): 82-89 . https://doi.org/10.3153/JFHS17011
AMA Kahrıman F. DETERMINATION OF FATTY ACIDS IN MAIZE OIL USING UV-VIS SPECTROSCOPY AND CHEMOMETRIC TECHNIQUES. Food Health. 2017; 3(3): 82-89.
Vancouver Kahrıman F. DETERMINATION OF FATTY ACIDS IN MAIZE OIL USING UV-VIS SPECTROSCOPY AND CHEMOMETRIC TECHNIQUES. Food and Health. 2017; 3(3): 82-89.
IEEE F. Kahrıman , "DETERMINATION OF FATTY ACIDS IN MAIZE OIL USING UV-VIS SPECTROSCOPY AND CHEMOMETRIC TECHNIQUES", Food and Health, c. 3, sayı. 3, ss. 82-89, Mar. 2017, doi:10.3153/JFHS17011

Food and Health" journal is licensed under a CreativeCommons Attribtion-ShareAlike 4.0 International Licence 14627 13310

openaccess.jpgOpen Access Statement:

This is an open access journal which means that all content is freely available without charge to the user or his/her institution. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles, or use them for any other lawful purpose, without asking prior permission from the publisher or the author. This is in accordance with the BOAI definition of open access.