D-Lin-MC3-DMA-1

厦门赛诺邦格专业提供D-Lin-MC3-DMA-1分子量642，提供1g-10kg多种规格，-20℃储存。工厂通过ISO9001/ISO13485认证，符合ICH-Q7A标准，同时支持定制合成服务。相关研究证实其在疫苗中的优异表现（Adv Mater. 2024）。

CAS no.	分子量（Mp）	产品编码
	642	06040008900

CDE登记号：F20220000342；DMF登记号：038644

相关文献：

1. Cheng X, Liu S, Sun J, et al. A Synergistic Lipid Nanoparticle Encapsulating mRNA Shingles Vaccine Induces Potent Immune Responses and Protects Guinea Pigs from Viral Challenges. Adv Mater. 2024;36(13):e2310886. doi:10.1002/adma.202310886
2. Deng X, Yang Y, Gan L, et al. Engineering Lipid Nanoparticles to Enhance Intracellular Delivery of Transforming Growth Factor-Beta siRNA (siTGF-β1) via Inhalation for Improving Pulmonary Fibrosis Post-Bleomycin Challenge. Pharmaceutics. 2025;17(2):157. Published 2025 Jan 24. doi:10.3390/pharmaceutics17020157
3. Cheng X, Zheng X, Tao K, et al. Freezing induced incorporation of betaine in lipid nanoparticles enhances mRNA delivery. Nat Commun. 2025;16(1):4700. Published 2025 May 20. doi:10.1038/s41467-025-60040-9
4. Liu S, Wen Y, Shan X, et al. Charge-assisted stabilization of lipid nanoparticles enables inhaled mRNA delivery for mucosal vaccination. Nat Commun. 2024;15(1):9471. Published 2024 Nov 2. doi:10.1038/s41467-024-53914-x
5. Liu D, Wang X, Xu L, et al. Screening lipid nanoparticles using DNA barcoding and qPCR. Colloids Surf B Biointerfaces. 2025;251:114598. doi:10.1016/j.colsurfb.2025.114598
6. Mengyang Liu, Ruijuan Xing, et al. Branched ligand-functionalized immuno-evasive PEGylation (BLIP) platform: Breaking through accelerated blood clearance and chemoresistance barriers with dual-targeting RNAi-chemotherapy synergy, Chemical Engineering Journal, Volume 522, 2025, 167098, ISSN 1385-8947, https://doi.org/10.1016/j.cej.2025.167098.
7. Lv K, Yu Z, Wang J, et al. Discovery of Ketal-Ester Ionizable Lipid Nanoparticle with Reduced Hepatotoxicity, Enhanced Spleen Tropism for mRNA Vaccine Delivery. Adv Sci (Weinh). 2024;11(45):e2404684. doi:10.1002/advs.202404684
8. Maharjan R, Kim KH, Lee K, Han HK, Jeong SH. Machine learning-driven optimization of mRNA-lipid nanoparticle vaccine quality with XGBoost/Bayesian method and ensemble model approaches. J Pharm Anal. 2024;14(11):100996. doi:10.1016/j.jpha.2024.100996
9. Ren L, Zhao Z, Chao Y, et al. Optimization of Lipid Nanoparticles with Robust Efficiency for the Delivery of Protein Therapeutics to Augment Cancer Immunotherapy. Adv Sci (Weinh). 2025;12(17):e2500844. doi:10.1002/advs.202500844