Evidence map›Paper›PMID 41606113›Full record

ArticleScientific reports2026

Development of a carbon fiber-based microextraction sample preparation patch for the detection of 21 organochlorine pesticides from water.

Harshika Poojary, Chiranjit Ghosh

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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
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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

2 authors.

Harshika PoojaryManipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
Chiranjit GhoshManipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India. chiranjit.ghosh@manipal.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The widespread use of organochlorine pesticides (OCPs) in agricultural practices has led to its accumulation in water bodies, causing significant environmental and health risks due to its persistence and toxicity. To enable effective monitoring, carbon fiber-based thin-film solid-phase microextraction (TF-SPME) patch were developed using a uniform divinylbenzene (DVB) coating applied exploiting an automatic film applicator. These patch were tailored for the extraction and quantification of 21 OCPs from water matrices. Extraction parameters such as extraction time, temperature variation study, desorption time and solvent profile were optimized using water samples spiked with a standard mixture of the 21 OCPs across a concentration range of 100-900 ng/mL. The DVB-coated carbon fiber TF-SPME patch exhibited excellent extraction efficiency, achieving limits of detection ~ 0.3-1.5 ng/mL when analyzed with a triple quadrupole gas chromatography-mass spectrometer (GC-MS/MS). Calibration curves with regression equations were established for each pesticide to support rapid and reliable quantification. The method aligns with green analytical chemistry principles due to its minimal solvent consumption, low waste production, and energy-efficient operation. Greenness assessment tools such as AGREE, GAPI, and BAGI confirmed the method's environmental compatibility and user safety. This DVB-coated carbon fiber TF-SPME platform presents a sensitive, robust, and eco-friendly approach for the routine monitoring of organochlorine pesticides in water resources, crucial for protecting ecological balance and public health.

Indexed as

Chemical water pollutantGreen sample preparationOrganochlorine pesticidesPesticidesPollutantsSample preparationSolid-phase microextraction

Identifiers

PMID41606113
PMCPMC12909302

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Registered trials

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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.