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2019 | OriginalPaper | Buchkapitel

High-Throughput Analytics in the Function of Personalized Medicine

verfasst von : Djuro Josić, Tamara Martinović, Urh Černigoj, Jana Vidič, Krešimir Pavelić

Erschienen in: Personalized Medicine in Healthcare Systems

Verlag: Springer International Publishing

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Abstract

Rapid and highly reliable analysis of patient sample is the first premise and simultaneously the first step in the direction of right diagnosis and personalized treatment. However, this fact is frequently neglected. Despite this situation, almost unnoticed activities in this field started 55 years ago with the concept of a biosensor for fast monitoring of blood glucose and diabetes control, and blood glucose determination is still the driving force for optimization of these kinds of high-throughput analytical devices. The development of devices for high-throughput analytical methods for fast and accurate analysis started with the separation of molecules based on different size, charge and hydrophobicity and with the introduction of chromatographic and electrophoretic methods into clinical laboratories. The next step was their optimization towards the strategy for a fast analysis and miniaturization. One of the main tools for such kinds of analyses are different optimized supports and instruments for signal amplification that are used in such devices. The discovery and use of miniaturized chromatographic and electrophoretic systems based on monolithic supports was briefly discussed here. Their development in the direction of further miniaturization towards biosensors and nanobiosensors was also presented.

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Nächstes Kapitel Bacteria—Human Interactions: Leads for Personalized Medicine

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Titel: High-Throughput Analytics in the Function of Personalized Medicine
verfasst von: Djuro Josić
Tamara Martinović
Urh Černigoj
Jana Vidič
Krešimir Pavelić
Verlag: Springer International Publishing
Buch: Personalized Medicine in Healthcare Systems
Print ISBN: 978-3-030-16464-5

Electronic ISBN: 978-3-030-16465-2

Copyright-Jahr: 2019
DOI: https://doi.org/10.1007/978-3-030-16465-2_6

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