Evidence map›Paper›PMID 42009765›Full record

ArticleScientific reports2026

Green solvent systems for anhydrous fabric cleaning: from prediction to performance.

Jaeryeong Jeong, Jongho Choi, Geonhyeong Park, Sangtak Lee, Jong Soo Lim, Aye Aye Myint, Jaehoon Kim

Abstract read
In one paragraph

Article in Scientific reports, 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

7 authors.

Jaeryeong JeongSKKU Advanced Institute of Nanotechnology, Sungkyunkwan University, 2066, Seobu-Ro, Jangan-Gu, Suwon, Gyeong Gi-Do, 164719, Republic of Korea.
Jongho ChoiSchool of Mechanical Engineering, Sungkyunkwan University, 2066, Seobu-Ro, Jangan-Gu, Suwon, Gyeong Gi-Do, 164719, Republic of Korea.
Geonhyeong ParkSamsung Research, Samsung Electronics Co., Ltd., 56, Seongchon-gil, Seocho-gu, Seoul, 06756, Republic of Korea.
Sangtak LeeSamsung Research, Samsung Electronics Co., Ltd., 56, Seongchon-gil, Seocho-gu, Seoul, 06756, Republic of Korea.
Jong Soo LimDigital Appliances, Samsung Electronics Co., Ltd., 129, Samsung-ro, Yeongtong-gu, Suwon, Gyeonggi-do, 16677, Republic of Korea.
Aye Aye MyintSchool of Mechanical Engineering, Sungkyunkwan University, 2066, Seobu-Ro, Jangan-Gu, Suwon, Gyeong Gi-Do, 164719, Republic of Korea. mashweaye@skku.edu.
Jaehoon KimSKKU Advanced Institute of Nanotechnology, Sungkyunkwan University, 2066, Seobu-Ro, Jangan-Gu, Suwon, Gyeong Gi-Do, 164719, Republic of Korea. jaehoonkim@skku.edu.

Funding

a Korea Institute of Energy Technology Evaluation and Planning RS-2024-00443344Korea Institute of Energy Technology Evaluation and Planning 20224000000440
6 · The paper itself

Abstract

Perchloroethylene (PERC), the predominant solvent used in conventional dry cleaning, poses well-documented health and environmental hazards. In pursuit of safer and more sustainable alternatives, this study systematically evaluates sixteen bio-based green solvents selected based on their environmental impact, toxicity, flammability, and Hansen solubility parameters (HSPs). The efficacy of the solvents for removing a range of representative contaminants, including sebum, blood, cocoa, and wine, was evaluated. Ethyl lactate (EL), dimethyl carbonate (DMC), and γ-terpinene were the most effective, exhibiting strong detergency across various soil types. The theoretical solubility affinity, expressed as the relative energy difference (RED), correlated well with the experimental outcomes for simple, well-defined contaminants but showed limitations for complex or heterogeneous soils. To enhance the cleaning efficacy, binary and ternary solvent blends were formulated. A 1:1 mixture of EL and γ-terpinene demonstrated the most balanced and effective cleaning efficacy for both hydrophilic and lipophilic stains. Although mixtures with high γ-terpinene ratios were more effective for cleaning fat-soluble soils, the efficacy for removing water-soluble contaminants was reduced. These findings highlight the predictive utility and limitations of HSPs and underscore the need for integrating theoretical modeling with empirical validation in developing broad-spectrum, sustainable dry-cleaning systems.

Indexed as

Bio-based green solventsDry cleaningEthyl lactateHydrophilic soilsLipophilic soilsγ-terpinene

Identifiers

PMID42009765
PMCPMC13315915

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.