Miniaturization of fluorescence sensing in optofluidic devices

被引:32
|
作者
Mariuta, Daniel [1 ,2 ]
Colin, Stephane [2 ]
Barrot-Lattes, Christine [2 ]
Le Calve, Stephane [3 ,4 ]
Korvink, Jan G. [1 ]
Baldas, Lucien [2 ]
Brandner, Juergen J. [1 ]
机构
[1] Karlsruhe Inst Technol, Inst Microstruct Technol, Campus Nord,Hermann von Helmholtz Pl 1, Eggenstein Leopoldshafen, Germany
[2] Univ Toulouse, Inst Clement Ader ICA, UPS, CNRS,INSA,ISAE SUPAERO,Mines Albi, Toulouse, France
[3] Univ Strasbourg, Inst Chem & Proc Energy Environm & Hlth ICPEES, Grp Atmospher Phys Chem, Strasbourg, France
[4] InAir Solut, 25 Rue Becquerel, Strasbourg, France
关键词
Lab-on-a-chip; Off; on-chip integration strategy; Lab-on-a-CMOS; Microfluidic-PCB; In-plane optics; Organic electronics; Fluorescence detection; ON-A-CHIP; MOLECULAR TAGGING VELOCIMETRY; PHOTONIC LAB; INTEGRATION; FIBER; SENSORS; FABRICATION; CMOS; COMMERCIALIZATION; MICROFABRICATION;
D O I
10.1007/s10404-020-02371-1
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
Successful development of a micro-total-analysis system (mu TAS, 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.
引用
收藏
页数:28
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