Journal
FRONTIERS IN CHEMISTRY
Volume 8, Issue -, Pages -Publisher
FRONTIERS MEDIA SA
DOI: 10.3389/fchem.2020.00288
Keywords
aggregation-induced emission; array-based sensing; biological sensing; bacteria identification; sensor array
Categories
Funding
- Innovation and Technology Commission [ITS/022/18]
- Ming Wai Lau Centre for Reparative Medicine, Karolinska Institutet
- DGUT [GC300501142]
- Scientific Research Youth Team of Dongguan University of Technology [TDQN2019006]
- Social Science and Technology Development Key Project of Dongguan [20185071401607]
- Teaching Quality and Teaching Reform Project of Dongguan University of Technology [201801015]
- Engineering Research Center of None-food Biomass Efficient Pyrolysis and Utilization Technology of Guangdong Higher Education Institutes [2016GCZX009]
- Natural Science Foundation of Guangdong Province of China [2017A030313261]
- Social Science and Technology Development Project of Dongguan [2019507140211]
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Array-based sensing is a powerful tool for identifying analytes in complex environments with unknown interferences. In array-based sensing, the sensors, which transduce binding details to signal outputs, are of crucial importance for identifying analytes. Aggregation-induced emission luminogens (AIEgens) enjoy the advantages of easy synthesis and high sensitivity, which enable them to facilely form a sensor pool through structural modifications and sensitively reflect the subtle changes associated with binding events. All these features make AIEgens excellent candidates for array-based sensing, and attempts have been made by several research groups to explore their potentials in array-based sensing. In this review, we introduce the recent progresses of employing AIEgens as sensors in sensing assays and in building up sensor arrays for identification of varied biological analytes, including biomolecules and bacteria. Examples are selected to illustrate the working mechanism, probe design and selection, capability of the sensor array, and implications of these sensing methods.
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