A rapid and nondestructive method to determine the distribution map of protein, carbohydrate and sialic acid on Edible bird’s nest by hyper-spectral imaging and chemometrics

Shi, J, Hu, X, Zou, X et al. (8 more authors) (2017) A rapid and nondestructive method to determine the distribution map of protein, carbohydrate and sialic acid on Edible bird’s nest by hyper-spectral imaging and chemometrics. Food Chemistry, 229. pp. 235-241. ISSN 0308-8146

Abstract

Metadata

Authors/Creators:
  • Shi, J
  • Hu, X
  • Zou, X
  • Zhao, J
  • Zhang, W
  • Holmes, M
  • Huang, X
  • Zhu, Y
  • Li, Z
  • Shen, T
  • Zhang, X
Copyright, Publisher and Additional Information: © 2017 Elsevier Ltd. This is an author produced version of a paper published in Food Chemistry. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Edible bird’s nest; Distribution map; Hyper-spectral imaging; Nondestructive
Dates:
  • Published: 15 August 2017
  • Accepted: 16 February 2017
  • Published (online): 20 February 2017
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Maths and Physical Sciences (Leeds) > School of Food Science and Nutrition (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 23 Feb 2017 09:47
Last Modified: 20 Feb 2018 01:38
Published Version: https://doi.org/10.1016/j.foodchem.2017.02.075
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.foodchem.2017.02.075

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