Evidence map›Paper›PMID 41919220›Full record

ArticleRSC advances2026

Micro-array based on parafilm towards the opto-analysis of Cu(ii), Cr(vi), and Ni(ii) ions in fish samples by specific indicators: a state-of-the-art approach.

Farnaz Bahavarnia, Houman Kholafazad Kordasht, Mohammad Hasanzadeh, Nasrin Shadjou

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

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Farnaz BahavarniaAsian Nano-Ink Co., Tabriz University of Medical Sciences Tabriz Iran.
Houman Kholafazad KordashtNutrition Research Center, Tabriz University of Medical Sciences Tabriz Iran.ORCID https://orcid.org/0000-0002-7919-9272
Mohammad HasanzadehPharmaceutical Analysis Research Center, Tabriz University of Medical Sciences Tabriz Iran hasanzadehm@tbzmed.ac.ir.ORCID https://orcid.org/0000-0003-4918-1239
Nasrin ShadjouDepartment of Nanotechnology, Faculty of Chemistry, Urmia University Urmia Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, a parafilm-based colorimetric micro-array (PCMA) is introduced as a novel, low-cost sensor for the specific detection of copper (Cu(ii)), chromium (Cr(vi)), and nickel (Ni(ii)) ions in real samples. We developed a convenient and straightforward micro-array based on parafilm for creating hydrophobic and semi-hydrophobic areas for the colorimetric detection of three metal ions, namely, Cu(ii), Cr(vi), and Ni(ii) ions, using color picker software installed on a smartphone. The principle of detection in this innovative sensing platform was based on the chemical interactions of these metal ions with specific reagents. These interactions produced striking observable color changes that allowed for the easy identification and quantification of these targets in complex matrices. Based on the smartphone-supported digital image analysis, the prepared sensor enabled quantitative detection with linear detection ranges of 0.1 to 80 mM, 3 nM to 2 µM, and 1 to 60 mM for Cu(ii), Cr(vi), and Ni(ii), respectively. In addition, the developed colorimetric sensor achieved lower limits of quantification of 0.1 mM, 3 nM, and 1 mM for Cu(ii), Cr(vi), and Ni(ii) ions, respectively. The sensor's performance was validated by its excellent selectivity against potential interfering ions and its successful application in the analysis of a real fish sample.

Identifiers

PMID41919220
PMCPMC13034851

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