• Advanced image processing and...

*Result*: Advanced image processing and pattern-matching algorithms assisted enzyme/hydrogel platform for dual-signal detection of glucose.

Title:
Advanced image processing and pattern-matching algorithms assisted enzyme/hydrogel platform for dual-signal detection of glucose.
Authors:
Wang Y; The Wenzhou Third Clinical Institute Affiliated to Wenzhou Medical University/ Wenzhou Maternal and Child Health Care Hospital / Wenzhou People's Hospital, Wenzhou, 325000, China., Liang Z; Center for Advanced Measurement Science, Mass Spectrometry Engineering Technology Research Center, National Institute of Metrology, Beijing, 100029, China., Xu H; The Wenzhou Third Clinical Institute Affiliated to Wenzhou Medical University/ Wenzhou Maternal and Child Health Care Hospital / Wenzhou People's Hospital, Wenzhou, 325000, China., Wang Y; The Wenzhou Third Clinical Institute Affiliated to Wenzhou Medical University/ Wenzhou Maternal and Child Health Care Hospital / Wenzhou People's Hospital, Wenzhou, 325000, China., Qu W; The Wenzhou Third Clinical Institute Affiliated to Wenzhou Medical University/ Wenzhou Maternal and Child Health Care Hospital / Wenzhou People's Hospital, Wenzhou, 325000, China., Hu Y; The Wenzhou Third Clinical Institute Affiliated to Wenzhou Medical University/ Wenzhou Maternal and Child Health Care Hospital / Wenzhou People's Hospital, Wenzhou, 325000, China., Chen K; The Wenzhou Third Clinical Institute Affiliated to Wenzhou Medical University/ Wenzhou Maternal and Child Health Care Hospital / Wenzhou People's Hospital, Wenzhou, 325000, China., Peng T; Center for Advanced Measurement Science, Mass Spectrometry Engineering Technology Research Center, National Institute of Metrology, Beijing, 100029, China. Electronic address: pengtao@nim.ac.cn., Li X; The Wenzhou Third Clinical Institute Affiliated to Wenzhou Medical University/ Wenzhou Maternal and Child Health Care Hospital / Wenzhou People's Hospital, Wenzhou, 325000, China. Electronic address: wzslixq@163.com., Wu L; Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China. Electronic address: wulidong@dicp.ac.cn.
Source:
Talanta [Talanta] 2026 Jun 01; Vol. 303, pp. 129484. Date of Electronic Publication: 2026 Jan 29.
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: Elsevier Country of Publication: Netherlands NLM ID: 2984816R Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-3573 (Electronic) Linking ISSN: 00399140 NLM ISO Abbreviation: Talanta Subsets: MEDLINE
Imprint Name(s):
Publication: Amsterdam : Elsevier
Original Publication: Oxford : Pergamon Press
MeSH Terms:
Hydrogels*/chemistry , Biosensing Techniques*/methods , Glucose Oxidase*/chemistry , Glucose Oxidase*/metabolism , Blood Glucose*/analysis , Glucose*/analysis , Algorithms* , Image Processing, Computer-Assisted*, Horseradish Peroxidase/chemistry ; Horseradish Peroxidase/metabolism ; Gold/chemistry ; Serum Albumin, Bovine/chemistry ; Alginates/chemistry ; Metal Nanoparticles/chemistry ; Humans ; Female ; Pregnancy ; Colorimetry ; Cattle ; Animals
Contributed Indexing:
Keywords: Alginate hydrogel; Dual-mode detection; Enzyme immobilization; Gestational diabetes mellitus; Glucose
Substance Nomenclature:
0 (Hydrogels)
EC 1.1.3.4 (Glucose Oxidase)
EC 1.11.1.- (Horseradish Peroxidase)
7440-57-5 (Gold)
0 (Blood Glucose)
27432CM55Q (Serum Albumin, Bovine)
0 (Alginates)
IY9XDZ35W2 (Glucose)
Entry Date(s):
Date Created: 20260207 Date Completed: 20260221 Latest Revision: 20260221
Update Code:
20260222
DOI:
10.1016/j.talanta.2026.129484
PMID:
41653642
Database:
MEDLINE

*Further Information*

*This study presents a dual-signal biosensing platform for glucose detection based on alginate hydrogel beads (AlgelBeads). Its primary innovation lies in the integration of enzyme co-encapsulation with advanced image processing and pattern-matching algorithms. Glucose oxidase, horseradish peroxidase, and bovine serum albumin-templated gold nanoclusters are co-encapsulated within the AlgelBeads, which are uniform spheres approximately 2.1 mm in diameter, featuring a unique vein-like surface pattern that provides sites for glucose recognition and substrate catalysis. Upon exposure to glucose, an enzymatic cascade reaction is initiated, producing a visible color change to blue and simultaneous fluorescence quenching. For high-throughput analysis, a custom array plate was designed. The interpretation of the dual signals (colorimetric and fluorescent) is automated and enhanced using a Hough circle algorithm for AlgelBeads localization and a dictionary-based spatial classification algorithm for robust pattern recognition. Under optimized parameters, these AlgelBeads enable quantitative detection of glucose from 0.0625 to 4.0 mg/mL. The limits of detection are 0.077 mg/mL (colorimetric) and 0.030 mg/mL (fluorescent), with both precision and accuracy falling within acceptable limits. The AlgelBeads were applied for determining 54 serum samples collected from 18 pregnant women undergoing the oral glucose tolerance test, yielding results consistent with Beckman Coulter Glucose Assay Kit. These findings affirm the AlgelBeads offer an accurate and effective platform for glucose detection, holding potential for assisting in the diagnosis of gestational diabetes mellitus and other diabetes types in clinical settings.
(Copyright © 2026 Elsevier B.V. All rights reserved.)*

*Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.*