Fluorescent Probe-Based Fiber Optic Sensor for Real-Time Monitoring of Chloride Ions in Coastal Concrete Structures.

chloride ion monitoring coastal concrete structure fiber optic sensor fluorescent probe quinine sulfate

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
07 Jun 2024
Historique:
received: 11 05 2024
revised: 30 05 2024
accepted: 04 06 2024
medline: 27 6 2024
pubmed: 27 6 2024
entrez: 27 6 2024
Statut: epublish

Résumé

Coastal concrete structures, such as cross-sea bridges and tunnels, are susceptible to the penetration of chloride ions, which can lead to the deterioration of the passive film on the rebar surface, consequently accelerating the corrosion process. Conventional methods for monitoring chloride ions typically require in situ drilling for sample collection, thereby compromising efficiency and accuracy. Additionally, real-time monitoring and early warning cannot be achieved. To address these challenges, this work introduces a fluorescent-probe-based fiber optic sensor for monitoring chloride levels in concrete structures. Quinine sulfate was chosen as the fluorescent material due to its exceptional sensitivity to chloride ions and its stability in concrete environments. The proposed sensor was manufactured using sol-gel and 3D-printing techniques. Tests were conducted using concrete simulation fluid and cement mortar specimens. The results demonstrate that the sensitivity of the proposed sensor is greater than 0.01 M, and its accuracy in penetration depth measurement is better than 3 mm. The findings confirm that the designed fiber optic sensor based on quinine sulfate enables real-time monitoring of chloride ions in concrete structures, offering high sensitivity (0.1% in concentration and 2.7 mm in terms of penetration depth), unique selectivity (as it is immune to other ions whose concentrations are 10 times higher than those of Cl

Identifiants

pubmed: 38931484
pii: s24123700
doi: 10.3390/s24123700
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : National Key Research and Development Program of China
ID : 2021YFF0502200
Organisme : National Natural Science Foundation of China
ID : 52308321
Organisme : Shenzhen Science and Technology Program
ID : JCYJ20220818100202006
Organisme : Hong Kong Research Grants Council
ID : No. PolyU 152634/16E and T22-502/18-R
Organisme : The Hong Kong Polytechnic University
ID : 1-BBAG

Auteurs

Zhen Lin (Z)

College of Civil and Transportation Engineering, Institute of Urban Smart Transportation & Safety Maintenance, Shenzhen University, Shenzhen 518060, China.
National Key Laboratory of Green and Long-Life Road Engineering in Extreme Environment (Shenzhen), Shenzhen 518060, China.
Shenzhen Key Laboratory of Safety and Health Monitoring of Marine Infrastructures, Shenzhen 518060, China.
Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR, China.

Quanfeng Ouyang (Q)

College of Civil and Transportation Engineering, Institute of Urban Smart Transportation & Safety Maintenance, Shenzhen University, Shenzhen 518060, China.
National Key Laboratory of Green and Long-Life Road Engineering in Extreme Environment (Shenzhen), Shenzhen 518060, China.
Shenzhen Key Laboratory of Safety and Health Monitoring of Marine Infrastructures, Shenzhen 518060, China.

Chuanrui Guo (C)

College of Civil and Transportation Engineering, Institute of Urban Smart Transportation & Safety Maintenance, Shenzhen University, Shenzhen 518060, China.
National Key Laboratory of Green and Long-Life Road Engineering in Extreme Environment (Shenzhen), Shenzhen 518060, China.
Shenzhen Key Laboratory of Safety and Health Monitoring of Marine Infrastructures, Shenzhen 518060, China.

Yiqing Ni (Y)

Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR, China.

Classifications MeSH