Cellulose-Based Biosensing Platforms

doi:10.3390/books978-3-0365-2401-6

Download Url(s)

https://mdpi.com/books/pdfview/book/4601

Contributor(s)

Morales-Narváez, Eden (editor)

de la Escosura-Muñiz, Alfredo (editor)

Golmohammadi, Hamed (editor)

Zor, Erhan (editor)

Language

English

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Abstract

Cellulose empowers measurement science and technology with a simple, low-cost, and highly transformative analytical platform. This book helps the reader to understand and build an overview of the state of the art in cellulose-based (bio)sensing, particularly in terms of the design, fabrication, and advantageous analytical performance. In addition, wearable, clinical, and environmental applications of cellulose-based (bio)sensors are reported, where novel (nano)materials, architectures, signal enhancement strategies, as well as real-time connectivity and portability play a critical role.

URI

https://directory.doabooks.org/handle/20.500.12854/76991

Keywords

biosensing; point-of-care; photoluminescence; portable devices; miniaturization; biosensors; C-reactive protein; carbon nanotubes; electrospinning; electrochemical impedance; superparamagnetic iron oxide nanoflowers; lateral flow immunoassays; biosensor; extracellular vesicles; exosomes; paper device; signal enhancement; mercury ion; colorimetric detection; paper-based origami sensor; three-dimensional microfluidic; potentiometric; carbon paste electrode; biomarker; carbon nanofiber; cellulose; diagnostics; immunoassay; lateral flow assays; paper; point-of-care testing; troponin I; nanobioengineering; matrix design; cytosensing; human health; SPIONs; encapsulation; PLGA; lipid; lipid–polymer hybrid nanoparticles; lateral flow immunoassays (LFIA); wearables; paper microfluidics; fabric microfluidics; solid-state sensors; electrochemical (bio)sensor; clinical analysis; paper sensors; toxic substances; biological receptors; optical detection; electrochemical methods; rapid tests; DNA; enzyme; antibody; cell; molecularly imprinted polymers; lateral flow immunoassay; carcinoembryonic antigen; cancer diagnosis; smartphone-based sensors