Evidence map›Paper›PMID 34558047›Full record

ArticleEnvironmental science and pollution research international2022

Interaction quantitative modeling of mixed surfactants for synergistic solubilization by resonance light scattering.

Minghui Xiang, Zhen Lu, Ziyin You, Xuechen Wang, Maofang Huang, Weixiong Xu, Hui Li

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Article in Environmental science and pollution research international, 2022. 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
0.7field-weighted citation impact, top 36% 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

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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, 6 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

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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 1 institution in 1 country.

Minghui XiangSchool of Environmental and Chemical Engineering, Shanghai University, Shanghai, 200444, People's Republic of China.
Zhen LuSchool of Environmental and Chemical Engineering, Shanghai University, Shanghai, 200444, People's Republic of China.
Ziyin YouSchool of Environmental and Chemical Engineering, Shanghai University, Shanghai, 200444, People's Republic of China.
Xuechen WangSchool of Environmental and Chemical Engineering, Shanghai University, Shanghai, 200444, People's Republic of China.
Maofang HuangSchool of Environmental and Chemical Engineering, Shanghai University, Shanghai, 200444, People's Republic of China.
Weixiong XuSchool of Environmental and Chemical Engineering, Shanghai University, Shanghai, 200444, People's Republic of China.
Hui LiSchool of Environmental and Chemical Engineering, Shanghai University, Shanghai, 200444, People's Republic of China. huili2018@shu.edu.cn.
Shanghai University · CN

Funding

Innovation Program of Shanghai Municipal of Science and Technology Commission 19010500200Innovation Program of Shanghai Municipal of Science and Technology Commission 19DZ1205300National Key Research and Development Plan 2019YFC1805800National Natural Science Foundation of China 41877377National Natural Science Foundation of China 41907318Program of Shanghai Academic/Technology Research Leader 18XD1424100"Shu Guang" Project supported by the Shanghai Municipal Education Commission and the Shanghai Education Development Foundation 19SG35X
6 · The paper itself

Abstract

In situ flushing through surfactant-enhanced aquifer remediation (SEAR) technology has long been recognized as a promising technique for NAPL removal from contaminated aquifers. However, there have been few studies on the choice of surfactants. In this work, the interaction quantitative model between resonance light scattering intensity and the concentration of binary surfactant mixtures NP-10+SDBS and NP-10+CTAB was established, and the mechanism of binary surfactant interaction was explored through the model by the resonance light scattering method. The relationship between the model constants and NAPL solubilization was also investigated to better address the application of surfactants in practical NAPL-contaminated site remediation. The critical micelle concentrations (CMCs) of nonylphenol ethoxylate (NP-10), dodecyl benzene sulfonate (SDBS), hexadecyl trimethyl ammonium bromide (CTAB), and the binary surfactant mixtures were measured by resonance light scattering (RLS), which were consistent with those obtained from surface tension measurements. In all cases, the RLS signals exhibited similar variations with surfactant concentration. A quantitative calculation model based on the RLS measurement data was established, and the binding constants K

Indexed as

Environmental Restoration and RemediationGroundwaterWater Pollutants, ChemicalSolubilitySurface-Active AgentsSurface-Active AgentsWater Pollutants, ChemicalBinding equilibriumInteraction constantsMixed micelleNon-aqueous phase liquidsSurface activitySurfactant-enhanced aquifer remediation

Identifiers

PMID34558047
OpenAlexW3199109652

What OpenQuestion holds

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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.