Evidence map›Paper›PMID 36313075›Full record

ArticleFrontiers in nutrition2022

Effects of four cooking methods on flavor and sensory characteristics of scallop muscle.

Yueyao Wang, Guifang Tian, Kemin Mao, Bimal Chitrakar, Zhongxuan Wang, Jie Liu, Xinzhong Bai, Yaxin Sang, Jie Gao

Abstract read
In one paragraph

Article in Frontiers in nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Yueyao WangCollege of Food Science and Technology, Hebei Agricultural University, Baoding, China.
Guifang TianCollege of Food Science and Technology, Hebei Agricultural University, Baoding, China.
Kemin MaoCollege of Food Science and Technology, Hebei Agricultural University, Baoding, China.
Bimal ChitrakarCollege of Food Science and Technology, Hebei Agricultural University, Baoding, China.
Zhongxuan WangCollege of Food Science and Technology, Hebei Agricultural University, Baoding, China.
Jie LiuShandong Longsheng Food Co., Ltd., Laoling, China.
Xinzhong BaiShandong Longsheng Food Co., Ltd., Laoling, China.
Yaxin SangCollege of Food Science and Technology, Hebei Agricultural University, Baoding, China.
Jie GaoCollege of Food Science and Technology, Hebei Agricultural University, Baoding, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work aimed to explore the influence of four different cooking methods (Boiling, roasting, frying, and microwaving) on the sensory characteristics of scallop muscles. Headspace-gas chromatography-ion mobility spectrometry (HS-GC-IMS) and electronic nose (e-nose) were combined to analyze the aroma of scallops. Combined with the results of free amino acids and electronic tongue (e-tongue), the taste changes of different samples were analyzed. Furthermore, texture profile and microstructure analysis jointly showed the influence of cooking methods on texture. The results showed that frying was the most suitable cooking method for scallop muscle because it resulted the best tasted products, boiled scallops retain the highest similarity to fresh scallops. Besides, a higher level of lipid oxidation and Maillard reaction resulted in significant increase in aldehydes, ketones, furans, umami, and sweet amino acid. For the boiled sample, the loss of water-soluble compounds and less fat oxidation resulted in fewer flavor substances and free amino acids, along with looser organizational structure and poorer sensory quality. The research showed that besides the texture of scallop muscle, volatile organic compounds and free amino acids as well as their mutual roles in taste and smell were also important to sensory receptivity.

Indexed as

electronic noseelectronic tonguefree amino acidHS-GC-IMSscallopvolatile flavor compounds

Identifiers

PMID36313075
PMCPMC9605777

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.