Advances in nanotechnology and biomedical engineering have significantly enhanced the potential of drug delivery systems for nanomedicines, offering improved drug solubility, extended intracellular residence times, optimized targeting, and controlled release. However, the micron-sized particles and large surface areas of nanomaterials may raise safety concerns, including unpredictable distribution within the body, heightened immune responses, difficulties in degradation and metabolism, and long-term accumulation. This paper reviews the literature and conducts structural analysis to examine various material types, biocompatibility evaluation, and safety factors in nanomedicine drug delivery systems. The results indicate that assessing the safety of such systems requires consideration of aspects such as cytotoxicity, hematological compatibility, immunological compatibility, local tissue response, and in vivo safety. Additionally, factors such as particle size, morphology, surface charge, material composition, administration method, release pattern, and exposure duration also influence safety. Future research should focus on selecting biodegradable materials, modifying surfaces, controlling release processes, and developing standardized evaluation systems to improve the design of nanomedicine delivery systems and enhance safety, stability, and controllability in biomedical applications.

Zhiyuan Qu. Biocompatibility Evaluation of Nanomedicine Delivery Systems and Their Safety Research in Biomedical Engineering. International Journal of World Medicine (2026), Vol. 7, Issue 1: 42-51. https://doi.org/10.38007/IJWM.2026.070105.

[1] Zhou Jianping. Application and Prospects of Nanotechnology in Drug Delivery [J]. Journal of China Pharmaceutical University, 2020, 51(4): 379-382.

[2] Zhou Yeshu, Wang Yanmei, Zhang Beiyuan, Wu Shuaicong, Yang Lei, Yi Lifang. Advances in research on inorganic nanomaterials for drug delivery [J]. Journal of China Pharmaceutical University, 2020, 51(4): 394-403.

[3] Song Mozhe, Liu Chuyi, Tang Qingquan, Dai Yuankun, Song Wenshan, Li Bafang, Wang Yuanyuan. Biocompatibility evaluation of electrospun polylactide-collagen bilayers for tissue regeneration [J]. Chinese Journal of Tissue Engineering, 2026, 30(26): 6880-6891.

[4] Shao Anliang, Chen Liang, Li Jingli. Advances in nanomedical devices and their regulation [J]. Chinese Pharmaceutical Journal, 2023, 37(12):1386-1390.

[5] Chang, C. W. (2026). Privacy Infrastructure Vulnerability Mining and Automated Framework Based on Multimodal AI. Procedia Computer Science, 279, 702-711.

[6] Wang Wu, Gong Chuang, Kan Yihuan, Wang Yu, Wang Yuanjie, Bai Shaohan, Tang Zijing, Zhang Jide. Advances in Fabrication and Application of Shape Memory Hydrogels in Biomedical Engineering. [J/OL]. Materials Science.

[7] Li J., Wang Y., Tang M., et al. New data on nanotherapeutic drugs for the treatment of periodontitis: triple symphony of antibacterial activity, immunomodulation, and periodontal tissue regeneration [J]. Journal of Nanobiotechnology, 2024, 22(1): 19.

[8] Amato M, Santonocito S, Polizzi A, et al. Locally administered controlled-release drug delivery systems: new approaches to the clinical treatment of periodontitis [J]. Pharmaceutica, 2023, 15(4): 1312.

[9] Yanchun Wang. (2025) Research on Enhancing ERP System Efficiency Through AI in Cross-border Supply Chain Environments. Advances in Computer and Communication, 6(5), 268-273.

[10] Yanchun Wang. (2025) Research on Enhancing ERP System Efficiency Through AI in Cross-border Supply Chain Environments. Advances in Computer and Communication, 6(5), 268-273.

[11] Liang, Q. (2026). Reconstruction of Commercial Building Space Reuse Mode Driven by Composite Business Types. International Journal of Engineering Advances, 3(1), 107-113.

[12] Gao, Y. (2026). Application of Delaware Corporate Law in Cross-Border M&A: Business Structures, Contractual Risk, and Case-Based Lessons. Economics and Management Innovation, 3(2), 128-136.

[13] Liu, Z. (2026). Research on Measuring User Behavior Response Differences Supported by Propensity Scoring Method. European Journal of AI, Computing & Informatics, 2(2), 47-53.

[14] Gao, Y. (2026). Governance Structures and Checks and Balances in Private Equity Funds: Practice, Problems, and Improvement Paths. Financial Economics Insights, 3(2), 82-91.

[15] Liang, Q. (2026). Research on Low-Energy Space Organization Methods in the Context of Building System Integration. Global Journal of Science & Innovation, 3(1), 9-15.