Keyword search (4,163 papers available)

"Sensing" Keyword-tagged Publications:

Title Authors PubMed ID
1 Evolution from the physical process-based approaches to machine learning approaches to predicting urban floods: a literature review Md Shike Bin Mazid Anik 40692624
ENCS
2 Research Trends in the Development of Block Copolymer-Based Biosensing Platforms Chung YH; Oh JK; 39590001
CHEMBIOCHEM
3 Non-invasive paper-based sensors containing rare-earth-doped nanoparticles for the detection of D-glucose López-Peña G; Ortiz-Mansilla E; Arranz A; Bogdan N; Manso-Silván M; Martín Rodríguez E; 38729020
CHEMBIOCHEM
4 Advances in the design and use of carbon dots for analytical and biomedical applications Adeola AO; Clermont-Paquette A; Piekny A; Naccache R; 37757783
CHEMBIOCHEM
5 Ratiometric Sensing of Glyphosate in Water Using Dual Fluorescent Carbon Dots Clermont-Paquette A; Mendoza DA; Sadeghi A; Piekny A; Naccache R; 37299928
BIOLOGY
6 Optical Fiber Array Sensor for Force Estimation and Localization in TAVI Procedure: Design, Modeling, Analysis and Validation Bandari N; Dargahi J; Packirisamy M; 34450813
ENCS
7 A historical perspective on porphyrin-based metal-organic frameworks and their applications Zhang X; Wasson MC; Shayan M; Berdichevsky EK; Ricardo-Noordberg J; Singh Z; Papazyan EK; Castro AJ; Marino P; Ajoyan Z; Chen Z; Islamoglu T; Howarth AJ; Liu Y; Majewski MB; Katz MJ; Mondloch JE; Farha OK; 33678810
CNSR
8 Gold Nano-Island Platforms for Localized Surface Plasmon Resonance Sensing: A Short Review. Badilescu S, Raju D, Bathini S, Packirisamy M 33066088
ENCS
9 First principles investigation on armchair zinc oxide nanoribbons as uric acid sensors. Singh P, Randhawa DKK, Tarun, Choudhary BC, Walia GK, Kaur N 31834483
ENCS

 

Title:Non-invasive paper-based sensors containing rare-earth-doped nanoparticles for the detection of D-glucose
Authors:López-Peña GOrtiz-Mansilla EArranz ABogdan NManso-Silván MMartín Rodríguez E
Link:https://pubmed.ncbi.nlm.nih.gov/38729020/
DOI:10.1016/j.colsurfb.2024.113934
Publication:Colloids and surfaces. B, Biointerfaces
Keywords:Enzyme-free sensorGlucose detectionLuminescent sensorNon-invasive sensingPaper-based sensorUp-converting nanoparticles
PMID:38729020 Category: Date Added:2024-05-11
Dept Affiliation: CHEMBIOCHEM
1 Departamento de Física Aplicada and Instituto de Ciencia de Materiales Nicolás Cabrera, Universidad Autónoma de Madrid, C/ Francisco Tomás y Valiente 7, Madrid 28049, Spain.
2 Departamento de Física Teórica de la Materia Condensada, Universidad Autónoma de Madrid, C/ Francisco Tomás y Valiente 7, Madrid 28049, Spain.
3 Department of Chemistry and Biochemistry, Concordia University, Montreal, QC, Canada.
4 Departamento de Física Aplicada and Instituto de Ciencia de Materiales Nicolás Cabrera, Universidad Autónoma de Madrid, C/ Francisco Tomás y Valiente 7, Madrid 28049, Spain; Centro de Micro-Análisis de Materiales, Universidad Autónoma de Madrid, C/ Francisco Tomás y Valiente 7, Madrid 28049, Spain.
5 Departamento de Física Aplicada and Instituto de Ciencia de Materiales Nicolás Cabrera, Universidad Autónoma de Madrid, C/ Francisco Tomás y Valiente 7, Madrid 28049, Spain; Nanomaterials for BioImaging Group, Instituto Ramón y Cajal de Investigación Sanitaria IRYCIS, Ctra. de Colmenar km 9,300, Madrid 28034, Spain. Electronic address: emma.martin@uam.es.

Description:

Today, diabetes mellitus is one of the most common diseases that affects the population on a worldwide scale. Patients suffering from this disease are required to control their blood-glucose levels several times a day through invasive methods such as piercing their fingers. Our NaGdF4: 5% Er3+, 3% Nd3+ nanoparticles demonstrate a remarkable ability to detect D-glucose levels by analysing alterations in their red-to-green ratio, since this sensitivity arises from the interaction between the nanoparticles and the OH groups present in the D-glucose molecules, resulting in discernible changes in the emission of the green and red bands. These luminescent sensors were implemented and tested on paper substrates, offering a portable, low-cost and enzyme-free solution for D-glucose detection in aqueous solutions with a limit of detection of 22 mg/dL. With this, our study contributes to the development of non-invasive D-glucose sensors, holding promising implications for managing diabetes and improving overall patient well-being with possible future applications in D-glucose sensing through tear fluid.





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