A study of starch content detection and the visualization of fresh-cut potato based on hyperspectral imaging-Reference-Cited by-同舟云学术

A study of starch content detection and the visualization of fresh-cut potato based on hyperspectral imaging

Published:2021 Issue:22 Volume:11 Page:13636-13643
ISSN:2046-2069
Container-title:RSC Advances
language:en
Short-container-title:RSC Adv.

Author:

Wang Fuxiang¹²³⁴,Wang Chunguang¹²³⁴^ORCID,Song Shiyong⁵³⁴

Affiliation:

1. School of Mechanical and Electrical Engineering

2. Inner Mongolia Agricultural University

3. Hohhot

4. China

5. Inner Mongolia Lvtao Detection Technology Company Limited

Abstract

The starch content of fresh-cut potato chips was detected via hyperspectral imaging, and a representation of the visual distribution of the starch content was realized.

Funder

National Natural Science Foundation of China

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemical Engineering,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2021/RA/D1RA01013A

Reference43 articles.

1. Non-destructive classification of defective potatoes based on hyperspectral imaging and support vector machine

2. Red and purple coloured potatoes as a significant antioxidant source in human nutrition – a review

3. Tailoring the surface properties and flexibility of starch-based films using oil and waxes recovered from potato chips byproducts

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