Evidence map›Paper›PMID 36360140›Full record

ReviewFoods (Basel, Switzerland)2022

Research Progress on the Preparation and Action Mechanism of Natural Deep Eutectic Solvents and Their Application in Food.

Kairong Wu, Jing Ren, Qian Wang, Maheshati Nuerjiang, Xiufang Xia, Chun Bian

Abstract readReview
In one paragraph

Review in Foods (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

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

17 citing papers in PubMed.

  1. Review
  2. Anti-Inflammatory Effects ofFoods (Basel, Switzerland) · 2026
    Article
  3. Review
  4. Sustainable Extraction ofInternational journal of molecular sciences · 2026
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
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

6 authors.

Kairong WuCollege of Food Science, Northeast Agricultural University, Harbin 150030, China.
Jing RenCollege of Food Science, Northeast Agricultural University, Harbin 150030, China.
Qian WangCollege of Food Science, Northeast Agricultural University, Harbin 150030, China.
Maheshati NuerjiangCollege of Food Science, Northeast Agricultural University, Harbin 150030, China.
Xiufang XiaCollege of Food Science, Northeast Agricultural University, Harbin 150030, China.
Chun BianSchool of Food Engineering, Harbin University, Harbin 150036, China.

Funding

National Natural Science Foundation of China 32172273
6 · The paper itself

Abstract

Natural deep eutectic solvent (NADES) is the eutectic mixture which is formed by hydrogen bond donors (HBDs) and hydrogen bond acceptors (HBAs) with a certain molar ratio through hydrogen bonding. NADES is a liquid with low cost, easy preparation, biodegradability, sustainability and environmental friendliness at room temperature. At present, it is widely used in food, medicine and other areas. First, the composition, preparation and properties of NADES are outlined. Second, the potential mechanism of NADES in freezing preservation, the removal of heavy metals from food and the extraction of phenolic compounds, and its application in cryopreservation, food analysis and food component extraction, and as a food taste enhancer and food film, are summarized. Lastly, the potential and challenges of its application in the food field are reviewed. This review could provide a theoretical basis for the wide application of NADES in food processing and production.

Indexed as

applicationgreen solventmechanismnatural deep eutectic solventproperties

Identifiers

PMID36360140
PMCPMC9655939

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.