1.

Record Nr.

UNINA9910298627303321

Autore

Yetisen Ali Kemal

Titolo

Holographic Sensors / / by Ali Kemal Yetisen

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015

ISBN

3-319-13584-8

Edizione

[1st ed. 2015.]

Descrizione fisica

1 online resource (175 p.)

Collana

Springer Theses, Recognizing Outstanding Ph.D. Research, , 2190-5053

Disciplina

54

610724

615.19

660

Soggetti

Chemical engineering

Medicinal chemistry

Laboratory medicine

Industrial Chemistry/Chemical Engineering

Medicinal Chemistry

Laboratory Medicine

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

Introduction -- Materials and Methods -- pH-Responsive Holograms -- Divalent Metal Cation Selective Holographic Sensors -- Glucose-Responsive Holograms and Clinical Trials on Diabetic Patients -- A Smartphone Algorithm for the Quantification of Colorimetric Assays -- Final Discussion.

Sommario/riassunto

This thesis presents a theoretical and experimental approach for the rapid fabrication, optimization and testing of holographic sensors for the quantification of pH, organic solvents, metal cations, and glucose in solutions. Developing non-invasive and reusable diagnostics sensors that can be easily manufactured will support the monitoring of high-risk individuals in any clinical or point-of-care setting. Sensor fabrication approaches outlined include silver-halide chemistry, laser ablation and photopolymerization. The sensors employ off-axis Bragg diffraction gratings of ordered silver nanoparticles and localized



refractive index changes in poly (2-hydroxyethyl methacrylate) and polyacrylamide films. The sensors exhibited reversible Bragg peak shifts, and diffracted the spectrum of narrow-band light over the wavelength range λpeak ≈ 495-1100 nm. Clinical trials of glucose sensors in the urine samples of diabetic patients demonstrated that they offer superior performance compared to commercial high-throughput urinalysis devices. Lastly, a generic smartphone application to quantify colorimetric tests was developed and tested for both Android and iOS operating systems. The sensing platform and smartphone application may have implications for the development of low-cost, reusable and equipment-free point-of-care diagnostic devices.