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Updated: Dec 17, 2025

Production of Near-Infrared Sensitive, Core-Shell Vaccine Delivery Platform
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An Efficient Double-Layer Blockchain Method for Vaccine Production Supervision.

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    This summary is machine-generated.

    This study introduces a novel double-level blockchain system for enhanced vaccine production supervision. This innovative approach ensures data integrity and timely record submission, improving public health safety.

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    Area of Science:

    • Blockchain Technology
    • Public Health
    • Pharmaceutical Sciences

    Background:

    • Current vaccine production supervision relies on centralized systems vulnerable to data falsification.
    • Lack of timely verification of vaccine production records poses risks to public health, especially for vulnerable populations like children.

    Purpose of the Study:

    • To develop a decentralized and secure supervision method for vaccine production using a double-level blockchain.
    • To enhance the integrity, transparency, and efficiency of vaccine production record management.

    Main Methods:

    • Designed a double-level blockchain: private level for enterprise data and public level for record hashes and vaccine information.
    • Implemented a multi-node cooperative consensus mechanism for efficient verification and data redundancy.
    • Introduced a vaccine data cutting mechanism based on timestamps and validity periods to optimize storage.

    Main Results:

    • Ensured timely submission of vaccine production records without compromising enterprise privacy.
    • Prevented tampering and falsification of records through blockchain's immutability and timestamps.
    • Achieved spatiotemporal efficiency in vaccine production supervision, overcoming limitations of traditional systems.

    Conclusions:

    • The proposed double-level blockchain system offers a groundbreaking solution for secure and efficient vaccine production supervision.
    • This technology enhances trust and safety in the vaccine supply chain, safeguarding public health.
    • The system's innovative mechanisms address critical challenges in data integrity and resource management.