Evidence map›Paper›PMID 36309628›Full record

ReviewRice (New York, N.Y.)2022

Volatile Organic Compounds, Evaluation Methods and Processing Properties for Cooked Rice Flavor.

Zichen Zheng, Chao Zhang, Kewei Liu, Qiaoquan Liu

Open access · goldAbstract readReview
In one paragraph

Review in Rice (New York, N.Y.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
6.7field-weighted citation impact, top 3% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

20 citing papers in PubMed, 40 citations in OpenAlex.

  1. Shiso (Food science & nutrition · 2026
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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

4 authors at 1 institution in 1 country.

Zichen ZhengCollege of Mechanical Engineering, Yangzhou University, 196 West Huayang Road, Yangzhou, 225127, Jiangsu Province, People's Republic of China.
Chao ZhangCollege of Mechanical Engineering, Yangzhou University, 196 West Huayang Road, Yangzhou, 225127, Jiangsu Province, People's Republic of China. zhangc@yzu.edu.cn.
Kewei LiuCollege of Mechanical Engineering, Yangzhou University, 196 West Huayang Road, Yangzhou, 225127, Jiangsu Province, People's Republic of China.
Qiaoquan LiuKey Laboratory of Crop Genetics and Physiology of Jiangsu Province, Co-Innovation Center for Modern Production Technology of Grain Crops of Jiangsu, College of Agriculture, Yangzhou University, Yangzhou, 225009, People's Republic of China.
Yangzhou University · CN

Funding

National Natural Science Foundation of China No. 51872254Outstanding Youth Foundation of Jiangsu Province of China No. BK20211548Yangzhou City-Yangzhou University Cooperation Foundation No. YZ2021153
6 · The paper itself

Abstract

Rice (Oryza sativa L.), as the main refined grain in China, has attracted much attention in terms of quality. Rice is usually consumed after cooking, and it is a commonly staple food. Nowdays, people's requirements for cooked rice focus more on the taste characteristics and quality. Furthermore, aroma is one of the primary sensory reference points, which is the most intuitive way for people to judge cooked rice. By integrating and analyzing the researches of cooked rice aroma identification in recent five years, this paper expounds the extraction and identification methods (sensory evaluation method, GC-MS, SPME, MOS sensors, electronic nose, etc.) of the flavor substances in cooked rice, as the processing methods and properties of cooked rice, and the volatile organic compounds of cooked rice under different conditions are summarized as well.

Indexed as

Cooked riceEvaluation methodsProcessing properties analysisVOCs

Identifiers

PMID36309628
PMCPMC9617995
OpenAlexW4307560879

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.