Rapid Chemometric Method for the Determination of Oleic and Linoleic Acid in Sunflower Seeds by ATR-FTIR Spectroscopy

Screening of sunflower seeds in a breeding program to produce high oleic acid varieties requires a fast, simple and accurate analytical method. Experiments were carried out to: (i) investigate the potential of attenuated total reflectance-fourier transform infrared (ATR-FTIR) spectroscopy for rapid...

Full description

Saved in:
Bibliographic Details
Main Authors: Chalermkwan Sukkasem, Thitiporn Machikowa, Waraporn Tanthanuch, Sodchol Wonprasaid
Language:English
Published: Science Faculty of Chiang Mai University 2019
Subjects:
PLS
Online Access:http://it.science.cmu.ac.th/ejournal/dl.php?journal_id=6247
http://cmuir.cmu.ac.th/jspui/handle/6653943832/66162
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Chiang Mai University
Language: English
id th-cmuir.6653943832-66162
record_format dspace
spelling th-cmuir.6653943832-661622019-08-21T09:18:23Z Rapid Chemometric Method for the Determination of Oleic and Linoleic Acid in Sunflower Seeds by ATR-FTIR Spectroscopy Chalermkwan Sukkasem Thitiporn Machikowa Waraporn Tanthanuch Sodchol Wonprasaid Fourier transformed infrared attenuated total reflectance PLS fatty acid composition Helianthus annuus L. Screening of sunflower seeds in a breeding program to produce high oleic acid varieties requires a fast, simple and accurate analytical method. Experiments were carried out to: (i) investigate the potential of attenuated total reflectance-fourier transform infrared (ATR-FTIR) spectroscopy for rapid determination of fatty acid in sunflower seeds; and (ii) evaluate the calibration models for determination of oleic and linoleic acid contents in sunflower seeds by ATR-FTIR. Spectral data manipulation was performed using 5 different processing treatments for monitoring the calibration models, including two pretreatments (1st and 2nd derivative), two preprocessing strategies (Multiplicative Scatter Correction (MSC), vector and min/max normalization), and spectral ranges (3050-2800 and 1800-900 cm–1). FTIR spectra combined with gas chromatography (GC) values of oleic and linoleic acid contents were used for predictive models generated by partial least square (PLS) regression. The results showed that treatments 1 and 2, the combinations of 2nd derivative with MSC or vector normalization in spectral ranges 3050-2800 and 1800-900 cm-1, presented the lowest errors and produced the highest coefficients of determination of oleic and linoleic acid prediction models. It can be concluded that the ATR-FTIR method combined with chemometric analysis provided results comparable to GC analysis but they are more rapid and simple. 2019-08-21T09:18:23Z 2019-08-21T09:18:23Z 2015 Chiang Mai Journal of Science 42, 4 (Oct 2015), 930 - 938 0125-2526 http://it.science.cmu.ac.th/ejournal/dl.php?journal_id=6247 http://cmuir.cmu.ac.th/jspui/handle/6653943832/66162 Eng Science Faculty of Chiang Mai University
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
language English
topic Fourier transformed infrared
attenuated total reflectance
PLS
fatty acid composition
Helianthus annuus L.
spellingShingle Fourier transformed infrared
attenuated total reflectance
PLS
fatty acid composition
Helianthus annuus L.
Chalermkwan Sukkasem
Thitiporn Machikowa
Waraporn Tanthanuch
Sodchol Wonprasaid
Rapid Chemometric Method for the Determination of Oleic and Linoleic Acid in Sunflower Seeds by ATR-FTIR Spectroscopy
description Screening of sunflower seeds in a breeding program to produce high oleic acid varieties requires a fast, simple and accurate analytical method. Experiments were carried out to: (i) investigate the potential of attenuated total reflectance-fourier transform infrared (ATR-FTIR) spectroscopy for rapid determination of fatty acid in sunflower seeds; and (ii) evaluate the calibration models for determination of oleic and linoleic acid contents in sunflower seeds by ATR-FTIR. Spectral data manipulation was performed using 5 different processing treatments for monitoring the calibration models, including two pretreatments (1st and 2nd derivative), two preprocessing strategies (Multiplicative Scatter Correction (MSC), vector and min/max normalization), and spectral ranges (3050-2800 and 1800-900 cm–1). FTIR spectra combined with gas chromatography (GC) values of oleic and linoleic acid contents were used for predictive models generated by partial least square (PLS) regression. The results showed that treatments 1 and 2, the combinations of 2nd derivative with MSC or vector normalization in spectral ranges 3050-2800 and 1800-900 cm-1, presented the lowest errors and produced the highest coefficients of determination of oleic and linoleic acid prediction models. It can be concluded that the ATR-FTIR method combined with chemometric analysis provided results comparable to GC analysis but they are more rapid and simple.
author Chalermkwan Sukkasem
Thitiporn Machikowa
Waraporn Tanthanuch
Sodchol Wonprasaid
author_facet Chalermkwan Sukkasem
Thitiporn Machikowa
Waraporn Tanthanuch
Sodchol Wonprasaid
author_sort Chalermkwan Sukkasem
title Rapid Chemometric Method for the Determination of Oleic and Linoleic Acid in Sunflower Seeds by ATR-FTIR Spectroscopy
title_short Rapid Chemometric Method for the Determination of Oleic and Linoleic Acid in Sunflower Seeds by ATR-FTIR Spectroscopy
title_full Rapid Chemometric Method for the Determination of Oleic and Linoleic Acid in Sunflower Seeds by ATR-FTIR Spectroscopy
title_fullStr Rapid Chemometric Method for the Determination of Oleic and Linoleic Acid in Sunflower Seeds by ATR-FTIR Spectroscopy
title_full_unstemmed Rapid Chemometric Method for the Determination of Oleic and Linoleic Acid in Sunflower Seeds by ATR-FTIR Spectroscopy
title_sort rapid chemometric method for the determination of oleic and linoleic acid in sunflower seeds by atr-ftir spectroscopy
publisher Science Faculty of Chiang Mai University
publishDate 2019
url http://it.science.cmu.ac.th/ejournal/dl.php?journal_id=6247
http://cmuir.cmu.ac.th/jspui/handle/6653943832/66162
_version_ 1681426403550035968