2022
DOI: 10.1590/fst.30420
|View full text |Cite
|
Sign up to set email alerts
|

Evaluation on simulative transportation and storage quality of sweet cherry by different varieties based on principal component analysis

Abstract: To determine the effect of transportation vibration on the nutritional quality and antioxidant activity of sweet cherry fruits in the process of cold chain transportation. Two kinds of sweet cherry "Summit" and "Nanyang" with different storage and transportation resistance were used as experimental materials. The results showed that the content of soluble solids, titratable acids and vitamin C in sweet cherry fruits were significantly reduced, while the content of superoxide anion radical, malondialdehyde and … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
4
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
4

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(4 citation statements)
references
References 15 publications
0
4
0
Order By: Relevance
“…PCA (Principal Component Analysis), or Principal Component Analysis method, is one of the most widely used algorithms for dimensionality reduction of data [9].The main idea of PCA is to map n-dimensional features onto k dimensions, which are brand new orthogonal features also known as principal components, which are k-dimensional features reconstructed on the basis of the original ndimensional features [10][11]. According to the sales of individual products, and the main hierarchical analysis formula (3) filtered out the sales of varieties with a large cumulative contribution in different categories.…”
Section: Principal Component Analysis Modelmentioning
confidence: 99%
“…PCA (Principal Component Analysis), or Principal Component Analysis method, is one of the most widely used algorithms for dimensionality reduction of data [9].The main idea of PCA is to map n-dimensional features onto k dimensions, which are brand new orthogonal features also known as principal components, which are k-dimensional features reconstructed on the basis of the original ndimensional features [10][11]. According to the sales of individual products, and the main hierarchical analysis formula (3) filtered out the sales of varieties with a large cumulative contribution in different categories.…”
Section: Principal Component Analysis Modelmentioning
confidence: 99%
“…PCA is a multivariate statistics-based assay that uses the signal intensity of flavor substances to highlight their differences between samples (Fu et al, 2022). Figure 5 shows the results of PCA of flavor compounds in rice samples from different roasting stages.…”
Section: Analysis Of Volatile Flavor Substances Pca In Rice Roasting ...mentioning
confidence: 99%
“…The physiological activities of the human body are closely related to oxygen. Due to incomplete reduction, a large number of toxic reactive oxygen species (ROS) are generated during the process (Omoregie & Osagie, 2011;Powers et al, 2011), including hydrogen peroxide, hydroxyl radical and superoxide radical, which results in a series of oxidative stress reaction (Fu et al, 2022). As a marker, MDA is often used to detect the oxidative stress (Reiter et al, 2014;Ho et al, 2013).…”
Section: Determination Of Sod Cat Mda Total Protein and Albumin In Serummentioning
confidence: 99%