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AIEgen‐Based Lifetime‐Probes for Precise Furin Quantification and Identification of Cell Subtypes

Hui Jia, Defang Ding, Jingjing Hu, Jun Dai, Juliang Yang, Guogang Li, Xiaoding Lou, Fan Xia

2021Advanced Materials22 citationsDOI

Abstract

Abstract Biochemical sensing probes based on aggregation‐induced‐emission luminogens (AIEgens) are widely used in biological imaging and therapy, chemical sensing, and material sciences. However, it is still a great challenge to quantify the targets through fluorescence intensity of AIEgen probes due to their undesirable aggregations. Here, a PyTPA‐ZGO probe with three lifetime signals for precise quantification of furin is constructed: the lifetime signal 1 and signal 2 comes from AIEgen PyTPA‐P (τ Pn ) and inorganic nanoparticles Zn 2 GeO 4 :Mn 2+ ‐NH 2 (τ Zn ), respectively, while the lifetime signal 3 is marked as the composite dual‐lifetime signal (CDLS n , ). In contrast, the fluorescence intensity signal of PyTPA‐P shows defectively quantitative performance. Furthermore, it is found that the CDLS n exhibits higher significant differences than the two other lifetime signals (τ Pn and τ Zn ) thanks to its wide range between the maximum and minimum signal values and small standard deviation. Therefore, CDLS n is further used to accurately identify cell subtypes based on the specific concentration of furin in each subtype. The lifetime criterion can realize precise quantification, and it should be a promising direction of AIEgen‐based quantitative analysis in the future.

Topics & Concepts

FurinFluorescenceSIGNAL (programming language)Materials scienceCTDNanotechnologyBiological systemChemistryComputer scienceOpticsBiologyBiochemistryPhysicsOceanographyEnzymeProgramming languageGeologyLuminescence and Fluorescent MaterialsNanoplatforms for cancer theranosticsAdvanced biosensing and bioanalysis techniques