Proceedings of the 2018 8th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2018)

Determination of γ-linolenic in Donkey Meat by Near Infrared Spectroscopy and Chemometrics

Authors
Xiaoying Niu, Limin Shao
Corresponding Author
Xiaoying Niu
DOI
https://doi.org/10.2991/mcei-18.2018.17How to use a DOI?
Keywords
γ-linolenic; Donkey meat; NIRS; iPLS
Abstract
γ-linolenic is one kind of polyunsaturated fatty acid (PUFA) essential for human body. The aim of this study was to investigate the feasibility of Near Infrared Spectroscopy (NIRS) to determine the content of γ-linolenic in donkey meat. The spectra of forty donkey meat samples on the spectral range of 4000-12500 cm-1 were used to develop calibration models with the algorithms of forward iPLS (FiPLS) and backward iPLS (BiPLS). The best calibration is obtained using FiPLS with 80 intervals of the minced sample spectra, the determination coefficient, standard error, and the ratio of performance deviation of cross-validation of which is 0.604, 157.3 mg/100g, and 1.60. The result shows that NIRS combined with chemometrics can predict γ-linolenic in donkey meat. Further studies are needed to improve the prediction performance of calibration models.
Copyright
© The authors.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2018 8th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2018)
Part of series
Advances in Computer Science Research
Publication Date
June 2018
ISBN
978-94-6252-532-0
ISSN
2352-538X
DOI
https://doi.org/10.2991/mcei-18.2018.17How to use a DOI?
Copyright
© The authors.
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xiaoying Niu
AU  - Limin Shao
PY  - 2018/06
DA  - 2018/06
TI  - Determination of γ-linolenic in Donkey Meat by Near Infrared Spectroscopy and Chemometrics
BT  - 2018 8th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2018)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/mcei-18.2018.17
DO  - https://doi.org/10.2991/mcei-18.2018.17
ID  - Niu2018/06
ER  -