2022
DOI: 10.1111/ijfs.16231
|View full text |Cite
|
Sign up to set email alerts
|

Evaluation of taste and aroma compounds in oven‐roasted broccoli floret and stem as affected by different times using electronic tongue and electronic nose

Abstract: Roasting processing was commonly applied to enhance flavour characteristics, and thus this study was to investigate the taste and aroma compounds between broccoli floret and stem during oven-roasting processes. In electronic tongue analysis, sourness, saltiness, umami, and sweetness in florets showed an increasing tendency during the roasting, however, decreasing bitterness. Besides, In electronic nose analysis, methanethiol was reduced after the roasting processes and other sulfur compounds were generated in … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 29 publications
0
2
0
Order By: Relevance
“…The analysis was conducted using MXT-5 and MXT-1701 columns, with an incubation temperature of 50°C and a total analysis time of 10 min. Separated peaks were identified and confirmed using AlphaSoft version 14.2 (Alpha MOS, Toulouse, France) integrated into the E-nose system ( Hong et al, 2021 ).…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The analysis was conducted using MXT-5 and MXT-1701 columns, with an incubation temperature of 50°C and a total analysis time of 10 min. Separated peaks were identified and confirmed using AlphaSoft version 14.2 (Alpha MOS, Toulouse, France) integrated into the E-nose system ( Hong et al, 2021 ).…”
Section: Methodsmentioning
confidence: 99%
“…To ensure accuracy and prevent cross-contamination, the individual taste component sensors were washed with purified water for each analysis. The results were verified using AlphaSoft version 14.2 (Hong et al, 2021;Tian et al, 2020).…”
Section: Electronic Tongue (E-tongue)mentioning
confidence: 99%