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Ultra-Sensitive Near-Infrared Imaging of Micro-Neuroinflammation with Surface-Engineered Silver Indium Selenide
Wanru Tian1, Xin Zhao1, Yao Li1
1Key Laboratory of Optic-Electric Sensing and Analytical Chemistry for Life Science, MOE, College of Chemistry and Molecular Engineering, Qingdao University of Science and Technology, Zhengzhou Road 53, Qingdao 266042, China.
Analytical Chemistry
|September 13, 2025
Summary
Engineered quantum dots offer a novel near-infrared optical imaging method for early encephalitis detection. This advanced technique precisely identifies small inflammatory brain lesions, improving diagnosis and patient outcomes.
Area of Science:
- Biomedical Engineering
- Nanotechnology
- Neuroscience
Background:
- Encephalitis presents diagnostic challenges due to varied symptoms and limitations of conventional imaging like MRI.
- Early and subtle inflammatory brain lesions are often missed by current diagnostic methods.
Purpose of the Study:
- To develop a near-infrared (NIR) optical imaging strategy for precise and early detection of microencephalitic lesions.
- To overcome the limitations of conventional imaging techniques in diagnosing encephalitis.
Main Methods:
- Synthesis of silver indium selenide quantum dots (QDs) via an aqueous-phase method with optimized NIR emission.
- Surface modification of QDs with carboxyl-terminated poly(ethylene glycol) (carboxyl-PEG) for enhanced stability and M1 macrophage uptake.
- In vivo imaging studies to evaluate the performance of QDs in detecting encephalitis lesions.
Main Results:
- The engineered QDs demonstrated excellent NIR emission intensity and biocompatibility.
- Carboxyl-PEG modification improved QD stability and selective uptake by M1 macrophages, enhancing inflammatory site localization.
- In vivo imaging successfully delineated encephalitis lesions with ultrahigh spatial resolution, detecting foci as small as 4.6 mm × 5.3 mm.
Conclusions:
- This NIR optical imaging strategy using QDs enables early diagnosis of encephalitis by detecting sub-5 mm lesions, surpassing conventional methods.
- The developed technology offers a noninvasive, high-resolution diagnostic tool for neuroinflammatory disorders.
- This approach has significant potential to improve clinical decision-making and patient outcomes, especially in resource-limited settings.
