A nano-structured reporter for high-sensitivity contaminant detection in groundwater.

Shengkai Xu, Yiming Li, Cuiyi Yang, Shengli Hou, Zhang Wen, Mason B Tomson, Pedro J J Alvarez, Tong Zhang, Wei Chen

Abstract read

In one paragraph

Article in Nature communications, 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

9 authors.

Shengkai XuTianjin Key Laboratory of Environmental Remediation and Pollution Control, College of Environmental Science and Engineering, Ministry of Education Key Laboratory of Pollution Processes and Environmental Criteria, Nankai University, Tianjin, China.

Yiming LiHubei Key Laboratory of Yangtze River Catchment Environmental Aquatic Science, School of Environmental Studies, China University of Geosciences, Wuhan, China.

Cuiyi YangTianjin Key Laboratory of Environmental Remediation and Pollution Control, College of Environmental Science and Engineering, Ministry of Education Key Laboratory of Pollution Processes and Environmental Criteria, Nankai University, Tianjin, China.ORCID http://orcid.org/0009-0009-8540-3012

Shengli HouTianjin Key Laboratory of Environmental Remediation and Pollution Control, College of Environmental Science and Engineering, Ministry of Education Key Laboratory of Pollution Processes and Environmental Criteria, Nankai University, Tianjin, China.ORCID http://orcid.org/0000-0002-5331-3911

Zhang WenHubei Key Laboratory of Yangtze River Catchment Environmental Aquatic Science, School of Environmental Studies, China University of Geosciences, Wuhan, China.

Mason B TomsonDepartment of Civil and Environmental Engineering and Rice WaTER Institute, Rice University, Houston, TX, USA.

Pedro J J AlvarezDepartment of Civil and Environmental Engineering and Rice WaTER Institute, Rice University, Houston, TX, USA.ORCID http://orcid.org/0000-0002-6725-7199

Tong ZhangTianjin Key Laboratory of Environmental Remediation and Pollution Control, College of Environmental Science and Engineering, Ministry of Education Key Laboratory of Pollution Processes and Environmental Criteria, Nankai University, Tianjin, China. zhangtong@nankai.edu.cn.ORCID http://orcid.org/0000-0002-8151-3697

Wei ChenTianjin Key Laboratory of Environmental Remediation and Pollution Control, College of Environmental Science and Engineering, Ministry of Education Key Laboratory of Pollution Processes and Environmental Criteria, Nankai University, Tianjin, China.ORCID http://orcid.org/0000-0003-2106-4284

Funding

National Natural Science Foundation of China (National Science Foundation of China) 22125603

6 · The paper itself

Abstract

Groundwater remediation is vital for meeting the ever-growing demand for clean water. However, accurately delineating subsurface contamination by free-phase organic contaminants (FPOCs) remains a major remediation hurdle. Here, we design a nano-structured reporter featuring a hydrophobic contaminant probe embedded within the framework of polyvinyl alcohol (PVA)-grafted carboxylated carbon black, for ultrahigh-sensitivity FPOC detection. When injected into the subsurface, the reporter moves with groundwater as the PVA chains prevent nanoparticle aggregation and deposition. The presence of even FPOC traces (as thin films or small droplets) triggers the release of probe molecules, enabled by the super-responsive coiling of PVA chains at organic-water interfaces. Contaminant mass is directly proportional to the amount of probe partitioning into the FPOCs, which can be accurately determined by fitting transport data with a two-site transport model. We offer proof-of-concept that this approach overcomes hydrogeological and FPOC distribution complexities that hinder conventional characterization of contaminant source zones.

Identifiers

PMID41526404

DOI10.1038/s41467-026-68373-9

PMCPMC12909953

What Socratic 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 Socratic graph.