Evidence map›Paper›PMID 41510067›Full record

ArticleTurkish journal of chemistry2025

Enhancing analytical performance of tyrosinase-based sensors with nanoparticles for detection of isoproterenol.

Aysel Oktay, Sevinç Kurbanoğlu, Gülsüm Gündoğdu, Cem Bülent Üstündağ, Frieder W Scheller, Aysu Yarman

Abstract read
In one paragraph

Article in Turkish journal of chemistry, 2025. 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

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Aysel OktayDepartment of Molecular Biotechnology, Faculty of Science, Turkish-German University, İstanbul, Turkiye.ORCID https://orcid.org/0000-0002-3729-3551
Sevinç KurbanoğluDepartment of Analytical Chemistry, Faculty of Pharmacy, Ankara University, Ankara, Turkiye.ORCID https://orcid.org/0000-0002-7079-7604
Gülsüm GündoğduDepartment of Energy Science and Technology, Faculty of Science, Turkish-German University, İstanbul, Turkiye.ORCID https://orcid.org/0000-0003-2380-7942
Cem Bülent ÜstündağDepartment of Bioengineering, Faculty of Chemical and Metallurgical Engineering, Yildiz Technical University, İstanbul, Turkiye.ORCID https://orcid.org/0000-0002-4439-0878
Frieder W SchellerDepartment of Energy Science and Technology, Faculty of Science, Turkish-German University, İstanbul, Turkiye.ORCID https://orcid.org/0000-0002-6797-2133
Aysu YarmanDepartment of Molecular Biotechnology, Faculty of Science, Turkish-German University, İstanbul, Turkiye.ORCID https://orcid.org/0000-0002-1465-9848

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this work, electrochemical biosensors utilizing tyrosinase (Tyr) for the detection of the nonselective beta-adrenergic agonist isoproterenol (ISO) are presented. Three different configurations for immobilizing Tyr on a graphite electrode (GE) are compared: (1) GE modified with poly(diallyldimethylammonium chloride) (PDADMAC), PDADMAC/Tyr/GE; (2) PDADMAC combined with iridium nanoparticles (IrNPs) in a stepwise preparation, resulting in PDADMAC/IrNPs/Tyr/GE; and (3) a composite of PDADMAC and IrNPs mixed with Tyr at a 1:1 (v:v), forming PDADMAC/(IrNPs-Tyr)/GE. Surface morphology was characterized using scanning electron microscopy (SEM). Cyclic voltammetry (CV) and amperometry were applied to characterize the biosensor's performance. Within the linear range of 5 μM to 211 μM, the biosensor PDADMAC/Tyr/GE exhibited a limit of detection (LOD) of 1.4 μM and a limit of quantification (LOQ) of 4.1 μM. PDADMAC/IrNPs/Tyr/GE displayed improved sensitivity with an LOD of 0.9 μM and an LOQ of 2.8 μM. The configuration PDADMAC/(IrNPs-Tyr)/GE demonstrated the best performance with an LOD of 0.3 μM and an LOQ of 0.8 μM. The slopes (0.0147 μA/M, 0.0096 μA/M, and 0.0031 μA/M for PDADMAC/(IrNPs-Tyr)/GE, PDADMAC/IrNPs/Tyr/GE, and PDADMAC/Tyr/GE, respectively) of the concentration dependencies for the three sensor modifications (which represent the analytical sensitivity) demonstrate the achieved enhancement of analytical performance by IrNPs. Furthermore, the biosensor's ability to detect ISO in the presence of potential interferences, such as ascorbic acid, uric acid, and paracetamol, was assessed. Additionally, we demonstrated the biosensor's potential to detect ISO in diluted spiked human serum samples.

Indexed as

electrochemical biosensoriridium nanoparticlesIsoproterenol (isoprenaline)poly(diallyldimethylammonium chloride)tyrosinase

Identifiers

PMID41510067
PMCPMC12779017

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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.