Modelling Potato Protein Content for Large-Scale Bulk Storage Facilities

Nik L.M. Grubben; Luc van Heeringen; Karel J. Keesman

doi:10.1007/s11540-019-9414-7

Modelling Potato Protein Content for Large-Scale Bulk Storage Facilities

Nik L.M. Grubben, Luc van Heeringen, Karel J. Keesman^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

6 Citations (Scopus)

Abstract

The potato (Solanum tuberosum) is one of the main sources of natural starch. In recent decades, the valorisation of potato protein that results as a by-product in the starch industry has been gaining interest as well. As potato supply is seasonal and the protein content of potatoes during long-term storage is temperature-dependent, optimal storage of potatoes is of great importance. This paper explores a model describing potato protein content during a full storage season for the Miss Malina and Agria cultivars. The model combines Michaelis-Menten protein kinetics with the Arrhenius equation. Laboratory analyses were performed to monitor the protein components in both potato cultivars and to use for estimation of the kinetic parameters. The results indicate that the two cultivars have different synthesis and degradation kinetics.

Original language	English
Pages (from-to)	333-344
Number of pages	12
Journal	Potato Research
Volume	62
Issue number	3
Early online date	15 Apr 2019
DOIs	https://doi.org/10.1007/s11540-019-9414-7
Publication status	Published - Sept 2019

Keywords

Post-harvest protein development
Potato storage
Protein degradation modelling
Protein synthesis modelling

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title = "Modelling Potato Protein Content for Large-Scale Bulk Storage Facilities",

abstract = "The potato (Solanum tuberosum) is one of the main sources of natural starch. In recent decades, the valorisation of potato protein that results as a by-product in the starch industry has been gaining interest as well. As potato supply is seasonal and the protein content of potatoes during long-term storage is temperature-dependent, optimal storage of potatoes is of great importance. This paper explores a model describing potato protein content during a full storage season for the Miss Malina and Agria cultivars. The model combines Michaelis-Menten protein kinetics with the Arrhenius equation. Laboratory analyses were performed to monitor the protein components in both potato cultivars and to use for estimation of the kinetic parameters. The results indicate that the two cultivars have different synthesis and degradation kinetics.",

keywords = "Post-harvest protein development, Potato storage, Protein degradation modelling, Protein synthesis modelling",

author = "Grubben, {Nik L.M.} and {van Heeringen}, Luc and Keesman, {Karel J.}",

year = "2019",

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language = "English",

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journal = "Potato Research",

issn = "0014-3065",

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T1 - Modelling Potato Protein Content for Large-Scale Bulk Storage Facilities

AU - Grubben, Nik L.M.

AU - van Heeringen, Luc

AU - Keesman, Karel J.

PY - 2019/9

Y1 - 2019/9

N2 - The potato (Solanum tuberosum) is one of the main sources of natural starch. In recent decades, the valorisation of potato protein that results as a by-product in the starch industry has been gaining interest as well. As potato supply is seasonal and the protein content of potatoes during long-term storage is temperature-dependent, optimal storage of potatoes is of great importance. This paper explores a model describing potato protein content during a full storage season for the Miss Malina and Agria cultivars. The model combines Michaelis-Menten protein kinetics with the Arrhenius equation. Laboratory analyses were performed to monitor the protein components in both potato cultivars and to use for estimation of the kinetic parameters. The results indicate that the two cultivars have different synthesis and degradation kinetics.

AB - The potato (Solanum tuberosum) is one of the main sources of natural starch. In recent decades, the valorisation of potato protein that results as a by-product in the starch industry has been gaining interest as well. As potato supply is seasonal and the protein content of potatoes during long-term storage is temperature-dependent, optimal storage of potatoes is of great importance. This paper explores a model describing potato protein content during a full storage season for the Miss Malina and Agria cultivars. The model combines Michaelis-Menten protein kinetics with the Arrhenius equation. Laboratory analyses were performed to monitor the protein components in both potato cultivars and to use for estimation of the kinetic parameters. The results indicate that the two cultivars have different synthesis and degradation kinetics.

KW - Post-harvest protein development

KW - Potato storage

KW - Protein degradation modelling

KW - Protein synthesis modelling

U2 - 10.1007/s11540-019-9414-7

DO - 10.1007/s11540-019-9414-7

M3 - Article

AN - SCOPUS:85064489386

SN - 0014-3065

VL - 62

SP - 333

EP - 344

JO - Potato Research

JF - Potato Research

IS - 3

ER -

Modelling Potato Protein Content for Large-Scale Bulk Storage Facilities

Abstract

Keywords

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