Research on physicochemical properties, microscopic characterization and detection of different freezing-damaged corn seeds.

Classification Corn (Zea mays L.) Enzymes activity Freezing damage Germination Microscopic observation Near-infrared spectroscopy

Journal

Food chemistry: X
ISSN: 2590-1575
Titre abrégé: Food Chem X
Pays: Netherlands
ID NLM: 101751436

Informations de publication

Date de publication:
30 Jun 2022
Historique:
received: 14 11 2021
revised: 19 04 2022
accepted: 18 05 2022
entrez: 31 5 2022
pubmed: 1 6 2022
medline: 1 6 2022
Statut: epublish

Résumé

Seed freezing damage is an agricultural disaster. To explore how frostbite affects the growth and development of corn seeds, the germination conditions, and the biological indicators including the activities of related enzymes (SOD, POD, CAT, and AMS) of different frozen corn seeds (normal, -10 °C,10 h, and -20 °C,10 h) were measured. The texture of seed coat and the cell structure of seed embryo were observed by scanning electron microscope and transmission electron microscope respectively. The texture and cell structural changes reflect the influence of frostbite on corn seeds. To propose a quick, accurate and non-destructive method to identify the freezing-damaged corn seeds, near-infrared spectroscopy was used the identify the different frozen corn seeds. Different pretreatments, feature extraction methods and modeling methods were applied, result showed that in the case of standard normal variation pretreatment combined with principal component analysis feature extraction method and K-nearest neighbor model, 99.4 % and 100 % classification results of the training set and testing set were obtained respectively.

Identifiants

pubmed: 35634222
doi: 10.1016/j.fochx.2022.100338
pii: S2590-1575(22)00136-5
pmc: PMC9133772
doi:

Types de publication

Journal Article

Langues

eng

Pagination

100338

Informations de copyright

© 2022 The Author(s).

Déclaration de conflit d'intérêts

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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Auteurs

Jun Zhang (J)

College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China.

Zhiying Wang (Z)

College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China.

Maozhen Qu (M)

College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China.

Fang Cheng (F)

College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China.

Classifications MeSH