2021
DOI: 10.1038/s41598-020-79717-w
|View full text |Cite
|
Sign up to set email alerts
|

Identification of the raw and processed Crataegi Fructus based on the electronic nose coupled with chemometric methods

Abstract: Crataegi Fructus (CF) is widely used as a medicinal and edible material around the world. Currently, different types of processed CF products are commonly found in the market. Quality evaluation of them mainly relies on chemical content determination, which is time and money consuming. To rapidly and nondestructively discriminate different types of processed CF products, an electronic nose coupled with chemometrics was developed. The odour detection method of CF was first established by single-factor investiga… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
8
0

Year Published

2022
2022
2023
2023

Publication Types

Select...
7

Relationship

2
5

Authors

Journals

citations
Cited by 19 publications
(9 citation statements)
references
References 38 publications
0
8
0
Order By: Relevance
“…Therefore, the sensors analyzed in PCA were also used to perform DFA. As shown in Figure 6B, the total contribution of the three‐dimensional model reached 90.118%, which means the information of original samples could be reliably explained by the established model (>85%) 19 . In addition, the results clarified that RMOC and GMOC from different regions could be quickly identified by the Heracles NEO e‐nose.…”
Section: Resultsmentioning
confidence: 75%
See 2 more Smart Citations
“…Therefore, the sensors analyzed in PCA were also used to perform DFA. As shown in Figure 6B, the total contribution of the three‐dimensional model reached 90.118%, which means the information of original samples could be reliably explained by the established model (>85%) 19 . In addition, the results clarified that RMOC and GMOC from different regions could be quickly identified by the Heracles NEO e‐nose.…”
Section: Resultsmentioning
confidence: 75%
“…As shown in Figure 6B, the total contribution of the three-dimensional model reached 90.118%, which means the information of original samples could be reliably explained by the established model (>85%). 19 In addition, the results clarified that RMOC and GMOC from different regions could be quickly identified by the Heracles NEO e-nose. This phenomenon was in line with the PCA results, which confirmed the results of PCA further.…”
Section: Methods Validation For Odor Detectionmentioning
confidence: 80%
See 1 more Smart Citation
“…The odour changes, which are considered an intrinsic property of the fruit, indicates a change in its internal components. Previously, we established an odour detection method for CF based on the E-nose and identified differently processed CFs for the first time ( 22 ). Nevertheless, it only focused on the qualitative odour of the final products, as most of the related literature, and the detailed changes in volatile flavour substances remain unknown.…”
Section: Introductionmentioning
confidence: 99%
“…A growing number of researchers focus on the correlation between sensory features and chemical components, but research on single appearance signature are relatively common; for example, main active ingredients and quantitative color values were important bases for the quality evaluation of Gentianae macrophyllae radix with different drying methods [ 4 ]. The quality of Corni Fructus was closely related to its color, so it can be identified and graded by exterior color [ 5 ]. The color values and chemical components served as the criteria for quality evaluation and processing of the end-point determination of rhubarb charcoal [ 6 ].…”
Section: Introductionmentioning
confidence: 99%