Green analytical assay for the viability assessment of single maize seeds using double-threshold strategy for catalase activity and malondialdehyde content.
Food Chem
; 455: 139889, 2024 Oct 15.
Article
in En
| MEDLINE
| ID: mdl-38833865
ABSTRACT
The development of nondestructive technology for the detection of seed viability is challenging. In this study, to establish a green and effective method for the viability assessment of single maize seeds, a two-stage seed viability detection method was proposed. The catalase (CAT) activity and malondialdehyde (MDA) content were selected as the most key biochemical components affecting maize seed viability, and regression prediction models were developed based on their hyperspectral information and a data fusion strategy. Qualitative discrimination models for seed viability evaluation were constructed based on the predicted response values of the selected key biochemical components. The results showed that the double components thresholds strategy achieved the highest discrimination accuracy (92.9%), providing a crucial approach for the rapid and environmentally friendly detection of seed viability.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Seeds
/
Catalase
/
Zea mays
/
Malondialdehyde
Language:
En
Journal:
Food Chem
Year:
2024
Document type:
Article
Affiliation country: