Quantitative Monitoring of Subcutaneous Tissue Oxygenation via Phosphorescent Polymer Dots and Time-Gated Lifetime Imaging

Precise quantification of tissue oxygenation (pO 2 ) is important for understanding tumor progression and evaluating metabolic therapies. However, conventional intensity-based optical oxygen sensors suffer from severe signal fluctuations for in vivo measurements due to tissue scattering and excitation conditions. Here, we present a robust quantitative oxygen sensing platform by using ultra-bright phosphorescent semiconducting polymer dots (Pdots) and a custom-built time-gated phosphorescence lifetime imaging (PLIM) system. Polyfluorene serves as a light-harvesting unit that sensitizes oxygen-responsive metalloporphyrin moieties through intraparticle energy transfer, yielding bright oxygen-sensitive Pdots with a large excitation-emission separation. The PLIM system consists of an intensified scientific complementary metal-oxide-semiconductor (sCMOS) camera with an internal trigger for pulsed LED excitation. We demonstrated the longitudinal imaging of local microenvironmental pO 2 in a murine breast tumor model over an 8-day period. While intensity imaging suffers from signal degradation due to tumor growth and probe dilution, the PLIM system reliably captures a dynamic change in tumor oxygenation, with pO 2 increasing from a hypoxic level (<10 mmHg) on Day 1 to ~43 mmHg on Day 8. This trend likely reflects tumor vascular remodeling during early-stage growth. Our study provides a promising tool for tracking subcutaneous tissue metabolic dynamics and evaluating hypoxia-targeted cancer therapies.

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Journal
Journal of Innovative Optical Health Sciences
Published
2026-09-18
DOI
https://doi.org/10.1142/s179354582650029x
Primary Topic
Analytical Chemistry and Sensors
Type
article
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article

Quantitative Monitoring of Subcutaneous Tissue Oxygenation via Phosphorescent Polymer Dots and Time-Gated Lifetime Imaging

Zihan Yao, Changfeng Wu, Xiaofeng Fang, Zhuli Wu et al.
Journal of Innovative Optical Health Sciences
Analytical Chemistry and Sensors
article

Quantitative Monitoring of Subcutaneous Tissue Oxygenation via Phosphorescent Polymer Dots and Time-Gated Lifetime Imaging

Zihan Yao, Changfeng Wu, Xiaofeng Fang, Zhuli Wu, Yan Kuang, Mingyue Gong, Yang Li, Yao Lu, Haowei Wu
article en

Abstract

Precise quantification of tissue oxygenation (pO 2 ) is important for understanding tumor progression and evaluating metabolic therapies. However, conventional intensity-based optical oxygen sensors suffer from severe signal fluctuations for in vivo measurements due to tissue scattering and excitation conditions. Here, we present a robust quantitative oxygen sensing platform by using ultra-bright phosphorescent semiconducting polymer dots (Pdots) and a custom-built time-gated phosphorescence lifetime imaging (PLIM) system. Polyfluorene serves as a light-harvesting unit that sensitizes oxygen-responsive metalloporphyrin moieties through intraparticle energy transfer, yielding bright oxygen-sensitive Pdots with a large excitation-emission separation. The PLIM system consists of an intensified scientific complementary metal-oxide-semiconductor (sCMOS) camera with an internal trigger for pulsed LED excitation. We demonstrated the longitudinal imaging of local microenvironmental pO 2 in a murine breast tumor model over an 8-day period. While intensity imaging suffers from signal degradation due to tumor growth and probe dilution, the PLIM system reliably captures a dynamic change in tumor oxygenation, with pO 2 increasing from a hypoxic level (<10 mmHg) on Day 1 to ~43 mmHg on Day 8. This trend likely reflects tumor vascular remodeling during early-stage growth. Our study provides a promising tool for tracking subcutaneous tissue metabolic dynamics and evaluating hypoxia-targeted cancer therapies.

Journal of Innovative Optical Health Sciences
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Analytical Chemistry and Sensors
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Quantitative Monitoring of Subcutaneous Tissue Oxygenation via Phosphorescent Polymer Dots and Time-Gated Lifetime Imaging — Zihan Yao, Changfeng Wu, et al. · Journal of Innovative Optical Health Sciences (2026) | TGRS Research Map | TGRS