Evidence map›Paper›PMID 38036694›Full record

ArticleMikrochimica acta2023

Label-free SERS assay combined with multivariate spectral data analysis for lamotrigine quantification in human serum.

Isidro Badillo-Ramírez, Selina A J Janssen, Gohar Soufi, Roman Slipets, Kinga Zór, Anja Boisen

Open access · hybridAbstract read
In one paragraph

Article in Mikrochimica acta, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

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

4 citing papers in PubMed, 14 citations in OpenAlex.

  1. SERS-Based Nano- and Microsystems Toward Biomedical Applications.Small (Weinheim an der Bergstrasse, Germany) · 2026
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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

6 authors at 2 institutions in 2 countries.

Isidro Badillo-RamírezCenter for Intelligent Drug Delivery and Sensing Using Microcontainers and Nanomechanics (IDUN), Department of Health Technology, Technical University of Denmark, 2800, Kongens Lyngby, Denmark. ibara@dtu.dk.ORCID http://orcid.org/0000-0002-9153-7158
Selina A J JanssenMolecular Biosensing for Medical Diagnostics (MBx), Department of Biomedical Engineering, Eindhoven University of Technology, 5600 MB, Eindhoven, The Netherlands.
Gohar SoufiCenter for Intelligent Drug Delivery and Sensing Using Microcontainers and Nanomechanics (IDUN), Department of Health Technology, Technical University of Denmark, 2800, Kongens Lyngby, Denmark.
Roman SlipetsCenter for Intelligent Drug Delivery and Sensing Using Microcontainers and Nanomechanics (IDUN), Department of Health Technology, Technical University of Denmark, 2800, Kongens Lyngby, Denmark.
Kinga ZórCenter for Intelligent Drug Delivery and Sensing Using Microcontainers and Nanomechanics (IDUN), Department of Health Technology, Technical University of Denmark, 2800, Kongens Lyngby, Denmark.
Anja BoisenCenter for Intelligent Drug Delivery and Sensing Using Microcontainers and Nanomechanics (IDUN), Department of Health Technology, Technical University of Denmark, 2800, Kongens Lyngby, Denmark.
BioInnovation Institute · DKEindhoven University of Technology · NL

Funding

BioInnovation Institute Foundation NNF20SA0063552Danmarks Grundforskningsfond DNRF122H2020 Marie Skłodowska-Curie Actions 899987Villum Fonden 9301
6 · The paper itself

Abstract

Considering the need for a more time and cost-effective method for lamotrigine (LTG) detection in clinics we developed a fast and robust label-free assay based on surface-enhanced Raman scattering (SERS) for LTG quantification from human serum. The optimization and application of the developed assay is presented  showing the: (i) exploration of different methods for LTG separation from human serum; (ii) implementation of a molecular adsorption step on an ordered Au nanopillar SERS substrate; (iii) adaptation of a fast scanning of the SERS substrate, performed with a custom-built compact Raman spectrometer; and (iv) development of LTG quantification methods with univariate and multivariate spectral data analysis. Our results showed, for the first time, the SERS-based characterization of LTG and its label-free identification in human serum. We found that combining a miniaturized solid phase extraction, as sample pre-treatment with the SERS assay, and using a multivariate model is an optimal strategy for LTG quantification in human serum in a linear range from 9.5 to 75 μM, with LoD and LoQ of 3.2 μM and 9.5 μM, respectively, covering the suggested clinical therapeutic window. We also showed that the developed assay allowed for quantifying LTG from human serum in the presence of other drugs, thereby demonstrating the robustness of label-free SERS. The sensing approach and instrumentation can be further automated and integrated in devices that can advance the drug monitoring in real clinical settings.

Indexed as

AnticonvulsantsSpectrum Analysis, RamanData AnalysisHumansLamotrigineAnticonvulsantsLamotrigineAntiepileptic drugsLabel-free sensingLamotrigineRaman spectrometerSERS spectroscopyTherapeutic drug monitoring

Identifiers

PMID38036694
PMCPMC10689517
OpenAlexW4389241045

What OpenQuestion holds

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LicenceCC BY
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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.