A General Approach Based on “Recognizing–Releasing” Strategy to Design Norepinephrine-Responsive Photoacoustic Probes for Depression Detection

The precise detection of norepinephrine (NE) is critically important for understanding depression pathology and improving clinical diagnosis. Current strategies for designing NE-responsive photoacoustic (PA) probes, such as the "protect-deprotect" and the "hunting-shooting", are limited by slow kinetics, susceptibility to interference, or poor generalizability. Here, we report a novel "Recognizing-Releasing" strategy for designing NE-responsive photoacoustic (PA) probes and present QSH-NE as a proof-of-concept probe to demonstrate the generalizability of this strategy for in vivo imaging of depression. This rationally designed probe incorporates a quinolinium-derived sulfur-substituted hemicyanine (QSH-OH) as the PA reporter and a 2-hydroxy-5-(hydroxymethyl) benzaldehyde-derived unit as the recognition moiety. The PA activation mechanism initiates with aldehyde-amino recognition to form a five-membered ring, followed by a releasing step through carbamate cleavage and 1,6-elimination. QSH-NE exhibited favorable sensitivity, high activation fold, and a good response rate for NE in vitro. Notably, QSH-NE enabled noninvasive monitoring of depression progression and drug intervention efficacy through quantitative PA signal analysis in live animal brains. This general design strategy not only advances NE detection specificity but also provides a versatile platform for depression research and clinical diagnosis.

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Publication Details

Journal
Analytical Chemistry
Published
2026-02-05
DOI
https://doi.org/10.1021/acs.analchem.5c06992
Primary Topic
Photoacoustic and Ultrasonic Imaging
Type
article
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article

A General Approach Based on “Recognizing–Releasing” Strategy to Design Norepinephrine-Responsive Photoacoustic Probes for Depression Detection

Xianjun Liu, Kaikai Duan, Hao Wang, Chonghua Zhang et al.
Analytical Chemistry
Photoacoustic and Ultrasonic Imaging
article

A General Approach Based on “Recognizing–Releasing” Strategy to Design Norepinephrine-Responsive Photoacoustic Probes for Depression Detection

Xianjun Liu, Kaikai Duan, Hao Wang, Chonghua Zhang, Guiting Zheng, Qin Yang, Xiang Li, Zhenkun Wu
article en

Abstract

The precise detection of norepinephrine (NE) is critically important for understanding depression pathology and improving clinical diagnosis. Current strategies for designing NE-responsive photoacoustic (PA) probes, such as the "protect-deprotect" and the "hunting-shooting", are limited by slow kinetics, susceptibility to interference, or poor generalizability. Here, we report a novel "Recognizing-Releasing" strategy for designing NE-responsive photoacoustic (PA) probes and present QSH-NE as a proof-of-concept probe to demonstrate the generalizability of this strategy for in vivo imaging of depression. This rationally designed probe incorporates a quinolinium-derived sulfur-substituted hemicyanine (QSH-OH) as the PA reporter and a 2-hydroxy-5-(hydroxymethyl) benzaldehyde-derived unit as the recognition moiety. The PA activation mechanism initiates with aldehyde-amino recognition to form a five-membered ring, followed by a releasing step through carbamate cleavage and 1,6-elimination. QSH-NE exhibited favorable sensitivity, high activation fold, and a good response rate for NE in vitro. Notably, QSH-NE enabled noninvasive monitoring of depression progression and drug intervention efficacy through quantitative PA signal analysis in live animal brains. This general design strategy not only advances NE detection specificity but also provides a versatile platform for depression research and clinical diagnosis.

Analytical ChemistryVol. 98(6)
Hunan University of Science and Technology (CN), Ministry of Education of the People's Republic of China (CN), Hunan University (CN)
No poverty
Openalex Percentile: Top 65%
Photoacoustic and Ultrasonic Imaging
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A General Approach Based on “Recognizing–Releasing” Strategy to Design Norepinephrine-Responsive Photoacoustic Probes for Depression Detection — Xianjun Liu, Kaikai Duan, et al. · Analytical Chemistry (2026) | TGRS Research Map | TGRS