Development of a simple colorimetric sensor for bacteria detection

Wound care is vital to prevent infections and inflammation that can lead to chronic wounds. This study developed a novel chitosan-based wound dressing incorporated with purple corn (Zea mays L.) extract as a colorimetric sensor for detecting bacterial infections. The dressings were prepared using 1.5% w/v chitosan, 2 mL glycerol, and varying amounts of purple corn extract (5–20 g). The formulation containing 20 g extract showed the highest anthocyanin content (177.10 ± 1.77 mg/L) and desirable mechanical properties, including a tensile strength of 0.26 ± 0.04 MPa, elongation at break of 23.75 ± 1.77%, and Young’s modulus of 25.33 ± 1.96 MPa. SEM analysis revealed a smooth surface with uniform extract distribution. The water vapor transmission rate (734 ± 18 g/m²/day) indicated suitable moisture permeability for wound healing. The dressing exhibited clear pH-dependent color changes orange (pH 5.0), purple-brown (pH 7.4), and dark brown (pH 9.0) enabling visual detection of infection-related pH shifts. Additionally, it showed strong antibacterial activity. These results demonstrate that purple corn extract-infused chitosan dressing is a promising smart wound care material with dual functions: pH-responsive sensing and antibacterial protection.

Authors

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-12-18
DOI
https://doi.org/10.1051/e3sconf/202567901005/pdf
Primary Topic
Wound Healing and Treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development of a simple colorimetric sensor for bacteria detection

Saowapa Thumsing Niyomthai, Pitt Supaphol, Sunisa Phaosung, Nattharika Ratchatathammanit et al.
Springer Link (Chiba Institute of Technology)
Wound Healing and Treatments
article

Development of a simple colorimetric sensor for bacteria detection

Saowapa Thumsing Niyomthai, Pitt Supaphol, Sunisa Phaosung, Nattharika Ratchatathammanit, Narumol Kreua-Ongarjnukool
article en

Abstract

Wound care is vital to prevent infections and inflammation that can lead to chronic wounds. This study developed a novel chitosan-based wound dressing incorporated with purple corn (Zea mays L.) extract as a colorimetric sensor for detecting bacterial infections. The dressings were prepared using 1.5% w/v chitosan, 2 mL glycerol, and varying amounts of purple corn extract (5–20 g). The formulation containing 20 g extract showed the highest anthocyanin content (177.10 ± 1.77 mg/L) and desirable mechanical properties, including a tensile strength of 0.26 ± 0.04 MPa, elongation at break of 23.75 ± 1.77%, and Young’s modulus of 25.33 ± 1.96 MPa. SEM analysis revealed a smooth surface with uniform extract distribution. The water vapor transmission rate (734 ± 18 g/m²/day) indicated suitable moisture permeability for wound healing. The dressing exhibited clear pH-dependent color changes orange (pH 5.0), purple-brown (pH 7.4), and dark brown (pH 9.0) enabling visual detection of infection-related pH shifts. Additionally, it showed strong antibacterial activity. These results demonstrate that purple corn extract-infused chitosan dressing is a promising smart wound care material with dual functions: pH-responsive sensing and antibacterial protection.

Springer Link (Chiba Institute of Technology)
Clean water and sanitation
Openalex Percentile: Top 34%
Wound Healing and Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.