Evidence map›Paper›PMID 41535973›Full record

ReviewChinese medicine2026

Deep eutectic solvents for green extraction and separation of bioactive compounds from traditional Chinese medicines.

Ahmad Ali, Ruirui Li, Ruiliang Zhu, Subhan Mahmood, Qianfeng Chen, Shun Yao

Abstract readReview
In one paragraph

Review in Chinese medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ahmad Ali *School of Chemical Engineering, Sichuan University, Chengdu, 610065, China.
Ruirui Li *School of Chemical Engineering, Sichuan University, Chengdu, 610065, China.
Ruiliang ZhuSchool of Chemical Engineering, Sichuan University, Chengdu, 610065, China.
Subhan MahmoodSchool of Chemical Engineering, Sichuan University, Chengdu, 610065, China.
Qianfeng ChenCollege of Pharmaceutical Sciences, Southwest University, Chongqing, 400715, China.
Shun YaoSchool of Chemical Engineering, Sichuan University, Chengdu, 610065, China. cusack@scu.edu.cn.

Funding

Central University/Sichuan University-Luzhou Science and Technology 2022CDLZ-20
6 · The paper itself

Abstract

backgroundTraditional Chinese Medicines (TCM) has long relied on bioactive compounds derived from natural sources, but conventional extraction and separation methods often involve violate/hazardous organic solvents, posing environmental and health risks. Deep Eutectic Solvents (DESs) have emerged as a sustainable alternative, offering tunable physicochemical properties, biodegradability, and enhanced extraction efficiency for TCM constituents such as alkaloids, flavonoids, and polysaccharides.

methodsThis review comprehensively summarizes the synergistic integration of DESs with TCM, highlighting their applications in green extraction, purification, and stabilization of bioactive compounds. It investigates a series of separation techniques, including liquid/solid-liquid (micro) extraction, chromatographic systems and others, where DESs enhance efficiency and recyclability. Environmental-Health-Safety (EHS) analyses, such as life cycle assessments and related tools, are also discussed.

resultsDESs demonstrate superior performance in preserving heat-sensitive compounds, improving solubility, and enabling selective extraction as well as isolation while aligning with green chemistry principles. However, challenges such as high viscosity, scalability, and toxicological assessments remain. Despite these limitations, DESs show significant eco-friendly potential, and future opportunities in policy support and AI-driven design could further advance their role in modernizing TCM for safer, more efficient, and sustainable therapeutic development.

Indexed as

Bioactive compoundsDeep Eutectic Solvents (DESs)Environmental-Health-Safety (EHS)ExtractionSeparationTraditional Chinese Medicine (TCM)

Identifiers

PMID41535973
PMCPMC12805784

What OpenQuestion holds

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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.