Determination of γ-linolenic in Donkey Meat by Near Infrared Spectroscopy and Chemometrics
- Xiaoying Niu, Limin Shao
- Corresponding Author
- Xiaoying Niu
- https://doi.org/10.2991/mcei-18.2018.17How to use a DOI?
- γ-linolenic; Donkey meat; NIRS; iPLS
- 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.
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- 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 -