Evidence map›Paper›PMID 41426517›Full record

ArticleNanoscale advances2026

Anthocyanin (ATH)-incorporating polyvinylpyrrolidone-ethyl cellulose-(2-hydroxypropyl)-β-cyclodextrin (PVP-EC-BCD) nanofiber-based pH sensor for ocular pH detection during accidental chemical spills.

Benuwan Sandaruwan, Renuka Liyanage, Pabakara Costha, Rohan S Dassanayake, Ruchire Eranga Wijesinghe, H M L P B Herath, K M Nalin de Silva, Rohini M de Silva, Suranga M Rajapaksha, Udaya Wijenayake and 1 more

Abstract read
In one paragraph

Article in Nanoscale advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Benuwan SandaruwanDepartment of Biosystems Technology, Faculty of Technology, University of Sri Jayewardenepura Pitipana North, Homagama 10200 Sri Lanka danushi@sjp.ac.lk.
Renuka LiyanageDepartment of Materials and Mechanical Technology, Faculty of Technology, University of Sri Jayewardenepura Pitipana North, Homagama 10200 Sri Lanka.
Pabakara CosthaNational Eye Hospital of Sri Lanka Colombo 01000 Sri Lanka.
Rohan S DassanayakeDepartment of Biosystems Technology, Faculty of Technology, University of Sri Jayewardenepura Pitipana North, Homagama 10200 Sri Lanka danushi@sjp.ac.lk.ORCID https://orcid.org/0000-0002-4608-2131
Ruchire Eranga WijesingheCenter for Excellence in Informatics, Electronics & Transmission (CIET), Sri Lanka Institute of Information Technology Malabe 10115 Sri Lanka.
H M L P B HerathCenter for Advanced Materials and Devices (CAMD), Department of Chemistry, University of Colombo PO Box 1490 Colombo 00300 Sri Lanka.
K M Nalin de SilvaCenter for Advanced Materials and Devices (CAMD), Department of Chemistry, University of Colombo PO Box 1490 Colombo 00300 Sri Lanka.ORCID https://orcid.org/0000-0003-3219-3233
Rohini M de SilvaCenter for Advanced Materials and Devices (CAMD), Department of Chemistry, University of Colombo PO Box 1490 Colombo 00300 Sri Lanka.ORCID https://orcid.org/0000-0003-0955-6366
Suranga M RajapakshaDepartment of Materials and Mechanical Technology, Faculty of Technology, University of Sri Jayewardenepura Pitipana North, Homagama 10200 Sri Lanka.
Udaya WijenayakeDepartment of Computer Engineering, Faculty of Engineering, University of Sri Jayewardenepura Nugegoda 10250 Sri Lanka.
Danushika C ManatungaDepartment of Biosystems Technology, Faculty of Technology, University of Sri Jayewardenepura Pitipana North, Homagama 10200 Sri Lanka danushi@sjp.ac.lk.ORCID https://orcid.org/0000-0003-1489-5557

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The existing ocular pH detection methods encounter numerous limitations, including low accuracy, poor sensitivity across a wide pH range, and patient discomfort, highlighting the need for innovative approaches. A novel biosensor for ocular pH detection has been developed to assess ocular health and chemical injuries in clinical settings. This study uses the pH-sensitive properties of anthocyanins (ATHs), natural pigments extracted from butterfly pea flowers, to develop a novel pH-responsive nanofiber mat. ATHs are integrated into a polymer blend containing polyvinylpyrrolidone (PVP), ethyl cellulose (EC), and (2-hydroxypropyl)-β-cyclodextrin (BCD) to fabricate electrospun nanofibers. The acquired characterization, employing scanning electron microscopy (SEM), Fourier-transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), and thermogravimetric analysis (TGA), confirmed the successful fabrication of the ATH-infused nanofibers with a mean diameter ranging from 121 to 396 nm. Four formulations were tested: PVP:EC:BCD:ATH (18 ppm), PVP:EC:BCD:ATH (25 ppm), PVP:EC:BCD:ATH (35 ppm), and PVP:EC:BCD:ATH (50 ppm). Among them, the 50 ppm ATH-incorporating nanofiber mat exhibited the best performance in terms of color clarity, response time, and pH sensitivity. The fabricated 50 ppm ATH incorporating nanofiber mat demonstrated a rapid pH response time of less than 5 seconds (s) while exhibiting a color variation from pink to blue to green across the pH range of 1 to 12, providing a rapid and accurate method for visual pH detection. Based on the color performance of the 50 ppm ATH-incorporating system, a standardized color reference chart was developed to serve as a practical and visual guide for estimating pH levels in clinical applications. Zebrafish toxicity assays were conducted further to validate the safety and biocompatibility of the developed sensor, revealing no significant toxic effects across the range of ATH concentrations.

Identifiers

PMID41426517
PMCPMC12713680

What Socratic holds

Textmetadata
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 Socratic graph.