Evidence map›Paper›PMID 34401060›Full record

ArticleFood science & nutrition2021

HS-GC-IMS detection of volatile organic compounds in Acacia honey powders under vacuum belt drying at different temperatures.

Duo Feng, Jing Wang, Yue He, Xiao-Jiao Ji, Hui Tang, Yong-Mei Dong, Wen-Jie Yan

Open access · hybridAbstract read
In one paragraph

Article in Food science & nutrition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.3field-weighted citation impact, top 9% 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

14 citing papers in PubMed, 24 citations in OpenAlex.

  1. Flavor omics approach of driedFood chemistry: X · 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

7 authors at 2 institutions in 1 country.

Duo FengCollege of Biochemical Engineering Beijing Union University Beijing China.
Jing WangInstitute of Food and Nutrition Development Ministry of Agriculture and Rural Affairs Beijing China.
Yue HeCollege of Biochemical Engineering Beijing Union University Beijing China.
Xiao-Jiao JiCollege of Biochemical Engineering Beijing Union University Beijing China.
Hui TangBeijing Tongrentang bee products (Jiangshan) Co., Ltd Jiangshan China.
Yong-Mei DongBeijing Tongrentang bee products (Jiangshan) Co., Ltd Jiangshan China.
Wen-Jie YanCollege of Biochemical Engineering Beijing Union University Beijing China.
Beijing Union University · CNMinistry of Agriculture and Rural Affairs · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Honey is a commodity of great nutritional value, but deep-processed honey products are uncommon. Herein, we used vacuum belt dryer to dry Acacia honey at 60°C, 70°C, and 80°C, prepared it into powder, and analyzed its volatile compound differences. We established HS-GC-IMS method to detect the volatile organic compounds (VOCs) of these three Acacia honey powders (AHPs). In total, 77 peaks were detected, and 23 volatile compounds were identified, including eight aldehydes, six ketones, three furans, one alcohol, one phenol, one lactone, one ester, one acid, and one nitrile. Moreover, principal component analysis (PCA) and fingerprint similarity analysis based on the Euclidean distance distinguished the three heating temperature treatments. Clearly, it was concluded that there are significant differences in volatile substances at different tested temperatures, and when the AHP was incubated at 80°C, more volatile compounds were detected.

Indexed as

Acacia honey powderfingerprint similarityHS‐GC‐IMSPCAvacuum belt drying

Identifiers

PMID34401060
PMCPMC8358364
OpenAlexW3176580345

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.