Evidence map›Paper›PMID 40603688›Full record

ArticleScientific reports2025

An electrochemical approach for tryptophan detection that regulates the kynurenine pathway.

Pavithra Narasimhappa, Praveen C Ramamurthy

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

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

2 citing papers in PubMed.

  1. Interfacial engineering for enantioselective electrochemical sensing of tryptophan: materials, recognition strategies, and performance benchmarking.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2026
    Review
  2. Article
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.

Pavithra NarasimhappaInterdisciplinary Centre for Water Research (ICWaR), Indian Institute of Science, Bengaluru, India.
Praveen C RamamurthyInterdisciplinary Centre for Water Research (ICWaR), Indian Institute of Science, Bengaluru, India. onegroupb203@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An electrochemical sensor for detecting tryptophan (Trp) was developed through the electro-polymerization of a phenazinium chloride derivative/safranin (SA) on both a glassy carbon electrode (GCE) and a screen-printed electrode (SPE). The sensor's electrochemical properties were assessed using cyclic voltammetry (CV), with a focus on optimizing various parameters such as the pH of the supporting electrolyte, the scan rate, the SA concentration for polymerization, and the number of CV cycles. The significant decrease in the energy bandgap of Trp in the presence of SA provides strong evidence for enhanced electron transfer efficiency. The results demonstrated that the electrochemical oxidation of Trp is predominantly a diffusion-controlled and irreversible process. A linear relationship was observed between the anodic oxidation peak and the Trp concentration, ranging from 10 to 90 µM. Detection and quantification limits were determined to be 2.3 µM and 7.8 µM for the SA/GCE configuration, and 1.17 µM and 3.9 µM for the SA/SPE configuration, respectively. The modified electrodes displayed exceptional selectivity, stability, and reproducibility. Their practical utility was further validated in tests involving bovine serum albumin, where the sensor achieved outstanding detection performance.

Indexed as

Electrochemical TechniquesKynurenineTryptophanAnimalsCattleElectrodesHydrogen-Ion ConcentrationLimit of DetectionOxidation-ReductionReproducibility of ResultsSerum Albumin, BovineKynurenineSerum Albumin, BovineTryptophanAlbuminElectro-polymerizationSafraninScreen-printed electrodeTryptophan

Identifiers

PMID40603688
PMCPMC12222952

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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.