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Inspired by Nature + ACS Achievements: Leading Medical Collaborates with the School of Environmental and Engineering Sciences at Nanjing University of Science and Technology to Publish a Significant Study in ACS Sensors.


2026 year 3 month 3 On [date], Leading Medical joined forces with Professor Dan Dan’s research group from the School of Environmental and Engineering at Nanjing University of Science and Technology, in the journal… ACS Sensors 》was published in the journal under the title “ Confinement-Induced Charge Branching in Bioinspired Vesicles Enables Self-Validated Photoelectrochemical Sensing The research article was authored by Professor Dan Dan of the School of Environmental and Engineering at Nanjing University of Science and Technology and Dr. Yuji Zhang, General Manager of Nanjing Leading Medical Technology Co., Ltd. The publication of this work marks a significant step forward for Leading Medical on the path of collaborative innovation integrating industry, academia, research, and application.

 

 

Inspired by Nature: Insights from Photosynthesis

Photosynthesis in nature ( Photosynthesis ) The system utilizes a highly efficient light-harvesting complex ( Light-harvesting complex ) and the reaction center ( Reaction center ) achieving nearly perfect energy transfer. Inspired by this, the research team constructed biomimetic vesicles ( Bio-inspired Vesicles ), introducing this natural wisdom into artificial sensing systems.

 

Research Highlight: Biomimetic Confined Vesicles + Charge-Shunting Mechanism

This study proposes a bio-inspired approach. Liposomal vesicle confined structure , by incorporating tetraphenylporphyrin ( TCPP ) and β - Carotenoids are co-assembled into the lipid bilayer, thereby achieving… Confined-Induced Charge Branching Effect

In short, this design significantly improves the separation efficiency of photogenerated electrons and holes, thereby markedly enhancing… Photoelectrochemistry ( PEC ) Signal . More importantly, the system possesses Self-verification feature (Dual-mode detection: PEC + Fluorescence), which can effectively eliminate false positives. / False-negative interference significantly enhances the reliability of the assay.

 

This study has constructed a liposome‑confined structure inspired by natural photosystems, by incorporating four… (4- Carboxyphenyl ) Porphyrin ( TCPP ) and beta- Carotenoids are co-assembled within the lipid bilayer, forming a functional interface with spatially segregated domains. This confined architecture induces charge分流 ( charge branching ) Effect: at the excited-state level, energy flow is systematically regulated—photo‑generated electrons preferentially participate in interfacial charge transfer, while excess excitation energy is dissipated via controlled pathways, thereby effectively suppressing carrier recombination and photodamage.

This molecular-level regulatory mechanism fundamentally optimizes the generation and distribution of photogenerated charges, providing a physical foundation for constructing stable and efficient photoelectric transduction systems.

 

Dual-mode sensing + data-driven self-validation strategy

To achieve highly reliable “self‑verifying” detection, this study has developed a unique photoelectrochemical ( PEC ) and fluorescence ( FL ) Dual-mode platform.

As shown in the figure, TCPP- beta -Lip Vesicles in TiO₂ A vectorial charge-transport pathway is established on the electrode, concurrently generating both photocurrent and fluorescence signals. Furthermore, in conjunction with… Machine learning ( Machine Learning ) Multivariate data analysis driven by The system can automatically perform cross-validation of bimodal outputs, significantly enhancing detection accuracy and anti-interference performance.

 

Based on the aforementioned charge-shunting mechanism, a further model was constructed. PEC With fluorescence ( FL ) A bimodal sensing platform for synergistic output. Driven by immune recognition, TCPP-β-Lip Vesicle assembly occurs at TiO 2  At the photoelectrode interface, a directional charge-transport architecture is established. Upon optical excitation, the system simultaneously generates both photocurrent and fluorescence signals; these two outputs arise respectively from interfacial charge transfer and bulk-phase excited-state relaxation, exhibiting spatial separation while maintaining energetic coupling.

On this basis, machine learning methods are introduced to… PEC Signal data modeling and quantitative prediction enhance the analytical accuracy and stability of sensing outcomes. The intrinsic correlation between bimodal signals further establishes a cross-validation mechanism, thereby substantially improving detection reliability and robustness against interference in complex systems.

 

Figure 1. Biomimetic Liposome Dual-Mode Photoelectrochemistry ( PEC ) Schematic diagram of the platform, illustrating porphyrin. The spatial confinement configuration of carotenoids, the directional charge-transfer process, and PEC/ Fluorescence ( FL ) Orthogonal self-checking mechanism.

Core Application: Highly Sensitive Detection of Serum Amyloid A (SAA)

The research team combined this biomimetic vesicle with titanium dioxide ( TiO 2 ) By integrating a photoelectrode with an immunorecognition element, a novel … has been constructed. PEC Immuno sensor, Used for the detection of serum amyloid protein. A ( SAA ) — an important biomarker of inflammation and cardiovascular disease.

 

Building on the biomimetic liposome confinement system they have developed, the research team further integrated this functional unit with a mesoporous-structured optimization. ITO/TiO2 By integrating a photoelectrode with a specific immuno‑recognition interface, a photoelectrochemical system with self‑calibration capability has been constructed. PEC ) Immunosensing platform for serum amyloid protein A ( SAA ) — An important biomarker of inflammation and cardiovascular disease High-sensitivity quantitative detection.

 

Excellent detection performance:

 

Detection range: 1.0 × 10⁻⁴~ 5.0 × 10 ¹ ng mL⁻¹

Detection limit: as low as 1.2 × 10⁻² pg mL⁻¹

Recovery rate in human serum samples: 90.90% ~ 110.00%

Compared with traditional methods (such as SERS including lateral flow assays, quantum dot-based fluorescence immunoassays, and electrochemical sensors, this platform demonstrates significant advantages in terms of sensitivity, linear range, and stability.

 

Leading Medical’s Role and Vision

In this research work Leading Medical provides support primarily from the perspectives of industrial application and technology transfer, participating in several key stages—such as the optimized design of material systems and the refinement of data‑analysis methodologies—to address real‑world testing needs. This has strengthened the system’s engineering feasibility and its potential for practical applications. General Manager Zhang Yujiji With Co-corresponding author Identity Participation in This Study It demonstrates the company’s comprehensive capabilities in the cutting-edge field of biosensing, seamlessly integrating scientific leadership with engineering translation, and underscores Leading Medical’s strategic commitment to advancing the transition of fundamental research findings into practical applications.

 

Leading Medical has always been committed to in vitro diagnostics ( IVD ) Core raw materials, novel biosensing technologies, and POCT Development of solutions. Going forward, the company will continue to focus on:

High-sensitivity immunoassay platform

Biomimetic Materials and Nanotechnology

Intelligent, self-verifying sensor

Promote the translation of more scientific research findings from the laboratory into clinical practice and home‑based self‑testing settings.

 

An article ACS Sensors Behind this paper lies interdisciplinary, cross-border collaborative innovation, and it also serves as a true reflection of how enterprises are transitioning from “technology application” to “technology creation.”

Congratulations to Dr. Zhang Yujie and the entire collaborative team! We also look forward to Leading Medical delivering even more groundbreaking research findings and product innovations in the future.

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