Anthracene-Modified Nanoporous Silica Nanoparticles for ATP Detection and Salivary Diagnostics in Parkinson’s Disease

ATP is an essential biological molecule, and abnormal levels are linked to various diseases. In this study, we developed an optical sensor array consisting of an anthracene-modified MCM-41 mesoporous nanoparticle-based hybrid organic–inorganic material to detect ATP in a TRIS-HCl buffer (pH 7). To create the sensor, we synthesized MCM-41 silica nanoparticles and functionalized them with aminoanthracene and imidazolium-anthracene groups. The fluorescence responses of the optical sensor array were recorded and analyzed by using a pattern recognition protocol, specifically linear discriminant analysis, to distinguish between ATP, ADP, AMP, and potential interferents. Quantitative regression analysis of ATP in TRIS-HCl was performed using artificial neural networks, which yielded an acceptable error rate of 7.8%. The sensor array was also evaluated for discrimination of Parkinson’s disease (PD) from healthy controls, based on pattern recognition of ATP-related analytes in saliva samples from 24 patients with PD and 23 healthy controls. The results showed that the MCM-41 mesoporous silica nanoparticle-based sensor array can discriminate PD by pattern recognition with 73.7% sensitivity and 83.3% specificity.

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Publication Details

Journal
ACS Applied Nano Materials
Published
2026-03-20
DOI
https://doi.org/10.1021/acsanm.5c05223
Primary Topic
Salivary Gland Disorders and Functions
Type
article
Field-Weighted Citation Impact
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article

Anthracene-Modified Nanoporous Silica Nanoparticles for ATP Detection and Salivary Diagnostics in Parkinson’s Disease

Estela Climent, Mehmet Gökhan Çağlayan, Vicente Martí-Centelles, Cansu Beyret et al.
ACS Applied Nano Materials
Salivary Gland Disorders and Functions
article

Anthracene-Modified Nanoporous Silica Nanoparticles for ATP Detection and Salivary Diagnostics in Parkinson’s Disease

Estela Climent, Mehmet Gökhan Çağlayan, Vicente Martí-Centelles, Cansu Beyret, Burak Coban, Elcin Ezgi Ahi, Mahmut Durmuş, Rezzak Yilmaz, Ramón Martínez-Máñez
article en

Abstract

ATP is an essential biological molecule, and abnormal levels are linked to various diseases. In this study, we developed an optical sensor array consisting of an anthracene-modified MCM-41 mesoporous nanoparticle-based hybrid organic–inorganic material to detect ATP in a TRIS-HCl buffer (pH 7). To create the sensor, we synthesized MCM-41 silica nanoparticles and functionalized them with aminoanthracene and imidazolium-anthracene groups. The fluorescence responses of the optical sensor array were recorded and analyzed by using a pattern recognition protocol, specifically linear discriminant analysis, to distinguish between ATP, ADP, AMP, and potential interferents. Quantitative regression analysis of ATP in TRIS-HCl was performed using artificial neural networks, which yielded an acceptable error rate of 7.8%. The sensor array was also evaluated for discrimination of Parkinson’s disease (PD) from healthy controls, based on pattern recognition of ATP-related analytes in saliva samples from 24 patients with PD and 23 healthy controls. The results showed that the MCM-41 mesoporous silica nanoparticle-based sensor array can discriminate PD by pattern recognition with 73.7% sensitivity and 83.3% specificity.

ACS Applied Nano Materials
Gebze Technical University (TR), Ankara University (TR), Universitat de València (ES), Instituto de Salud Carlos III (ES), Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine (ES), Czech Academy of Sciences, Institute of Analytical Chemistry (CZ), Centro de Investigacion Principe Felipe (ES), Instituto de Investigación Sanitaria La Fe (ES), Universitat Politècnica de València (ES)
Openalex Percentile: Top 13%
Salivary Gland Disorders and Functions
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