NIR‐II Chemiluminescence Molecular Sensor for In Vivo High‐Contrast Inflammation Imaging. Issue 42 (12th August 2020)

• Record Type: Journal Article
• Authors: Yang, Yanling; Wang, Shangfeng; Lu, Lingfei; Zhang, Qisong; Yu, Peng; Fan, Yong; Zhang, Fan
• Is Part Of: Angewandte Chemie international edition. Volume 59:Issue 42(2020)
• Page Start: 18380
• Page End: 18385
• Publication Date: 2020-08-12
• Subjects: bioimaging -- chemiluminescence imaging -- inflammation tracing -- NIR-II imaging; Chemistry -- Periodicals; 540
• DOI: 10.1002/anie.202007649
• Languages: English
• ISSNs: 1433-7851

Abstract

Abstract: Chemiluminescence (CL) sensing without external excitation by light and autofluorescence interference has been applied to high‐contrast in vitro immunoassays and in vivo inflammation and tumor microenvironment detection. However, conventional CL sensing usually operates in the range of 400–850 nm, which limits the performance of in vivo imaging due to serious light scattering effects and signal attenuation in tissue. To address this challenge, a new type of CL sensor is presented that functions in the second near‐infrared window (NIR‐II CLS) with a deep penetration depth (≈8 mm). Successive CL resonance energy transfer (CRET) and Förster resonance energy transfer (FRET) from the activated CL substrate to two rationally designed donor‐acceptor‐donor fluorophores BTD540 and BBTD700 occurs. NIR‐II CLS can be selectively activated by hydrogen peroxide over other reactive oxygen species (ROSs). Moreover, NIR‐II CLS is capable of detecting local inflammation in mice with a 4.5‐fold higher signal‐to‐noise ratio (SNR) than that under the NIR‐II fluorescence modality. Abstract : A novel near‐infrared (NIR‐II) chemiluminescence sensor was prepared by cascade chemiluminescence resonance energy transfer (CRET) and one‐step Förster resonance energy transfer (FRET). The sensor is capable of in vivo high‐contrast inflammation imaging. Key: chemiluminescence (CL), 1, 2‐dioxetanedione intermediate (DOD), fluorescence (FL), region of interest (ROI).