Editorial for the Special Issue on Micro and Nano Devices for Cell Analysis

In recent years, miniaturized systems (micro- and nano-devices) called a lab-on-a-chip or micro-total analysis system (µ-TAS) have received attention as new systems for chemical and biochemical analyses [...]

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Micro Total Analysis System (μTAS)

Encyclopedia of Microfluidics and Nanofluidics ◽

10.1007/978-0-387-48998-8_1024 ◽

2008 ◽

pp. 1359-1359

Keyword(s):

Micro Total Analysis System ◽

Total Analysis System ◽

Total Analysis ◽

Analysis System

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A Concept for a Sensitive Micro Total Analysis System for High Throughput Fluorescence Imaging

Sensors ◽

10.3390/s6040341 ◽

2006 ◽

Vol 6 (4) ◽

pp. 341-349 ◽

Cited By ~ 4

Author(s):

Arthur Rabner ◽

Yosi Shacham

Keyword(s):

Fluorescence Imaging ◽

High Throughput ◽

Micro Total Analysis System ◽

Total Analysis System ◽

Total Analysis ◽

Analysis System

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Miniaturization of fluorescence sensing in optofluidic devices

Microfluidics and Nanofluidics ◽

10.1007/s10404-020-02371-1 ◽

2020 ◽

Vol 24 (9) ◽

Cited By ~ 1

Author(s):

Daniel Măriuţa ◽

Stéphane Colin ◽

Christine Barrot-Lattes ◽

Stéphane Le Calvé ◽

Jan G. Korvink ◽

...

Keyword(s):

Lab On A Chip ◽

Time Data ◽

Fluorescence Sensing ◽

Successful Development ◽

Total Analysis System ◽

Total Analysis ◽

Integration Strategies ◽

Analysis System ◽

On Chip ◽

Industrial Sensing

Abstract Successful development of a micro-total-analysis system (µTAS, lab-on-a-chip) is strictly related to the degree of miniaturization, integration, autonomy, sensitivity, selectivity, and repeatability of its detector. Fluorescence sensing is an optical detection method used for a large variety of biological and chemical assays, and its full integration within lab-on-a-chip devices remains a challenge. Important achievements were reported during the last few years, including improvements of previously reported methodologies, as well as new integration strategies. However, a universal paradigm remains elusive. This review considers achievements in the field of fluorescence sensing miniaturization, starting from off-chip approaches, representing miniaturized versions of their lab counter-parts, continuing gradually with strategies that aim to fully integrate fluorescence detection on-chip, and reporting the results around integration strategies based on optical-fiber-based designs, optical layer integrated designs, CMOS-based fluorescence sensing, and organic electronics. Further successful development in this field would enable the implementation of sensing networks in specific environments that, when coupled to Internet-of-Things (IoT) and artificial intelligence (AI), could provide real-time data collection and, therefore, revolutionize fields like health, environmental, and industrial sensing.

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