Back to Search Start Over

Design of Smart Aggregates: Toward Rapid Clinical Diagnosis of Hyperlipidemia in Human Blood

Authors :
Sun, Feiyi
Zhao, Wei
Shen, Hanchen
Fan, Ni
Zhang, Jianyu
Liu, Qingqing
Xu, Changhuo
Luo, Jiaming
Zhao, Mengying
Chen, Yuyang
Lam, Wing Ki
Yang, Xueqin
Kwok, Tsz Kin
Lam, Wing Yip
Sun, Jianwei
Zhang, Hongfei
Tang, Benzhong
Sun, Feiyi
Zhao, Wei
Shen, Hanchen
Fan, Ni
Zhang, Jianyu
Liu, Qingqing
Xu, Changhuo
Luo, Jiaming
Zhao, Mengying
Chen, Yuyang
Lam, Wing Ki
Yang, Xueqin
Kwok, Tsz Kin
Lam, Wing Yip
Sun, Jianwei
Zhang, Hongfei
Tang, Benzhong
Publication Year :
2022

Abstract

Molecular aggregates with environmental responsive properties are desired for their wide practical applications such as bioprobes. Here, a series of smart near-infrared (NIR) luminogens for hyperlipidemia (HLP) diagnosis is reported. The aggregates of these molecules exhibit a twisted intramolecular charge-transfer effect in aqueous media, but aggregation-induced emission in highly viscous media due to the restriction of the intramolecular motion. These aggregates, which can autonomously respond to different environments via switching the aggregation state without changing their chemical structures are described, as “smart aggregates”. Intriguingly, these luminogens demonstrate NIR-II and NIR-III luminescence with ultralarge Stokes shifts (>950 nm). Both in vitro detection and in vivo imaging of HLP can be realized in a mouse model. Linear relationships exist between the emission intensity and multiple pathological parameters in blood samples of HLP patients. Thus, the design of smart aggregate facilitates rapid and accurate detection of HLP and provides a promising attempt in aggregate science.

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1363082642
Document Type :
Electronic Resource