Evidence map›Paper›PMID 41532874›Full record

ArticleACS applied materials & interfaces2026

One-Shot SERRS Detection of Iron and Acidity in Aqueous Systems.

Irene Calderón González, Robbert Schuett, Gerwin Chilla, Florian Schulz, Zhiming Wang, Wolfgang J Parak, Ramon A Alvarez-Puebla

Abstract read
In one paragraph

Article in ACS applied materials & interfaces, 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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0citing papers in PubMed
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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.

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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

7 authors.

Irene Calderón GonzálezDepartment of Physical and Inorganic Chemistry, Universitat Rovira i Virgili, 43007 Tarragona, Spain.ORCID 0000-0002-9717-6859
Robbert SchuettFachbereich Physik, Universität Hamburg, 20148 Hamburg, Germany.ORCID 0009-0006-8104-2684
Gerwin ChillaFachbereich Physik, Universität Hamburg, 20148 Hamburg, Germany.ORCID 0009-0008-3948-2293
Florian SchulzFachbereich Physik, Universität Hamburg, 20148 Hamburg, Germany.ORCID 0000-0003-4440-3680
Zhiming WangSchool of Physics, University of Electronic Science and Technology of China, Chengdu 611731, China.
Wolfgang J ParakFachbereich Physik, Universität Hamburg, 20148 Hamburg, Germany.ORCID 0000-0003-1672-6650
Ramon A Alvarez-PueblaDepartment of Physical and Inorganic Chemistry, Universitat Rovira i Virgili, 43007 Tarragona, Spain.ORCID 0000-0003-4770-5756

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optical strategies for ion sensing hold promise for portable and in situ analysis, yet their reliability is frequently limited by pH-dependent interferences that alter metal-ligand interactions. Herein, we present a multiprobe surface-enhanced resonance Raman scattering (SERRS) platform that enables simultaneous quantification of Fe(II) and direct in situ pH readout in aqueous media. The sensor is constructed from polystyrene beads (PS) densely coated with silver nanoparticles and functionalized with two probes: phenanthroline (Phen), a metal-selective dye, hydrophobically entrapped within a cetrimonium bromide (CTAB) bilayer to retain its Fe(II) binding activity, and 4-mercaptobenzoic acid (MBA), covalently anchored to the silver surface to provide a reliable pH response. Resonant excitation at 532 nm maximizes SERRS sensitivity, yielding Fe(II) detection down to 30 ppb with strong selectivity against competing metal ions. Crucially, the MBA readout decouples pH effects from Fe(II) quantification, avoiding false results at alkaline pH where iron hydroxide precipitates dominate. This dual-sensing strategy provides a robust concept to overcome pH interference in optical ion sensing and paves the way for portable, time-resolved monitoring of metal ions in biological and environmental systems.

Indexed as

chemosensors. multiplexingion sensingSERRS

Identifiers

PMID41532874
PMCPMC12862772

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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.