Research of the Measurement on Palmitic Acid in Edible Oils by Near-Infrared Spectroscopy

Abstract : A method for determination of palmitic acid in edible oils by the near-infrared spectroscopy was addressed in this paper. 56 samples were collected in the experiment. In terms of concentration content gradient method, 44 samples were selected for modeling set and 12 for testing set. This paper described the utilization of PLS for establishing a quantitative analysis model for predicting the content of palmitic acid in edible oils by near-infrared spectroscopy. The result shows that the model has a high accuracy for predicting the palmitic acid content with vector normalization and first-derivative preprocessing spectra with its best main factorial number of 8.The determination coefficients (R2), root mean square error of cross validation (RMSECV), root mean square error of prediction (RMSEP) and average bias are 99.59, 0.162, 0.306 and 0.148, respectively. The model used in the paper can be adopted for the measurement of palmitic acid in edible oils accurately.
Type de document :
Communication dans un congrès
Daoliang Li; Yande Liu; Yingyi Chen. 4th Conference on Computer and Computing Technologies in Agriculture (CCTA), Oct 2010, Nanchang, China. Springer, IFIP Advances in Information and Communication Technology, AICT-345 (Part II), pp.317-321, 2011, Computer and Computing Technologies in Agriculture IV. 〈10.1007/978-3-642-18336-2_38〉
Liste complète des métadonnées

Littérature citée [7 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-01562782
Contributeur : Hal Ifip <>
Soumis le : lundi 17 juillet 2017 - 09:50:29
Dernière modification le : mardi 18 juillet 2017 - 15:37:41
Document(s) archivé(s) le : samedi 27 janvier 2018 - 15:09:55

Fichier

978-3-642-18336-2_38_Chapter.p...
Fichiers produits par l'(les) auteur(s)

Licence


Distributed under a Creative Commons Paternité 4.0 International License

Identifiants

Citation

Hui Li, Jingzhu Wu, Cuiling Liu. Research of the Measurement on Palmitic Acid in Edible Oils by Near-Infrared Spectroscopy. Daoliang Li; Yande Liu; Yingyi Chen. 4th Conference on Computer and Computing Technologies in Agriculture (CCTA), Oct 2010, Nanchang, China. Springer, IFIP Advances in Information and Communication Technology, AICT-345 (Part II), pp.317-321, 2011, Computer and Computing Technologies in Agriculture IV. 〈10.1007/978-3-642-18336-2_38〉. 〈hal-01562782〉

Partager

Métriques

Consultations de la notice

42

Téléchargements de fichiers

12