Microfluidics for throughput scalable formulation of mRNA lipid nanoparticle technology

作者
Sarah J. Shepherd
出处
期刊:University of Pennsylvania - ScholarlyCommons
摘要

Lipid nanoparticles (LNPs) are a potent delivery technology that encapsulate nucleic acids, such as messenger RNA (mRNA), and deliver them intracellularly for therapeutic and vaccine applications. However, a challenge towards the broad application of LNPs for mRNA therapeutics and vaccines is the development of formulation strategies that accommodate the 4-log order range of throughputs needed from early development to clinical translation. While microfluidic processes can improve LNP performance by increasing reproducibility and enhancing LNP physical properties, these production methods are typically not employed commercially due to their limited throughput of <0.1 L/hr. Currently, LNPs are formulated by either bulk mixing or T-junction mixing for clinical applications, but these methods have higher batch to batch variability due to turbulent mixing and they cannot scale down to the small volumes needed for rapid LNP screening. To address this challenge, we engineered a microfluidic platform that incorporates up to 256 mixing devices operating in parallel on a single microfluidic chip for throughput scalable LNP production. These chips achieve >250x production rates compared to standard microfluidic devices, with total flow rates up to 20 L/hr. We fabricated these devices in polydimethylsiloxane (PDMS) as a proof-of-concept chip and in silicon and glass substrates to demonstrate compatibility with pharmaceutical manufacturing. To demonstrate the power of this approach, we show that our microfluidic-formulated LNPs are 4-5 times more potent than LNPs produced by traditional methods. Further, we formulated SARS-CoV-2 mRNA LNP vaccines using our microfluidic platform and induced robust immune responses in mice. Then, we engineered a microfluidic chip to leverage low LNP production rates to precisely mix reagents on-chip to formulate LNP libraries for rapid screening. Finally, we use advanced characterization methods, such as small-angle x-ray scattering (SAXS), to elucidate differences in LNP molecular packing between microfluidic-formulated LNPs and bulk mixed LNPs. In sum, our platform enables throughput-scalable LNP production while maintaining ideal LNP properties for potent mRNA delivery in vivo for emerging RNA-based therapeutics and vaccines.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
CC发布了新的文献求助10
1秒前
丰富的聪健完成签到 ,获得积分10
2秒前
粱夏烟发布了新的文献求助10
2秒前
yun完成签到 ,获得积分10
2秒前
onw发布了新的文献求助10
2秒前
3秒前
3秒前
小黑驴完成签到 ,获得积分10
3秒前
4秒前
4秒前
4秒前
asia完成签到 ,获得积分10
6秒前
dhhdnd完成签到 ,获得积分10
7秒前
7秒前
兴奋冬萱完成签到,获得积分10
7秒前
Hui发布了新的文献求助10
8秒前
9秒前
格格完成签到,获得积分10
9秒前
朴实夏寒发布了新的文献求助10
10秒前
科目三的应助被白斯特采纳,获得10
10秒前
小荷才露尖尖角的应助被yiyi1采纳,获得50
10秒前
11秒前
kilig完成签到,获得积分10
11秒前
DARKNESS完成签到,获得积分10
11秒前
YUKI2026完成签到,获得积分10
12秒前
杰米的科发布了新的文献求助10
12秒前
巫山非云也完成签到 ,获得积分10
13秒前
稳重盼夏发布了新的文献求助10
14秒前
生动的不尤完成签到,获得积分10
14秒前
DRX发布了新的文献求助10
14秒前
CodeCraft的应助被Lorrey采纳,获得10
14秒前
明理的酒窝完成签到,获得积分20
14秒前
14秒前
16秒前
17秒前
思源的应助被大气大侠采纳,获得10
18秒前
18秒前
18秒前
科研通AI6.4的应助被雪山大地采纳,获得30
18秒前
甜甜的孤云完成签到,获得积分10
18秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Spec 401: Standards for Jet Fuel Facility and Equipment Commissioning and Flushing at Airports, 2026.1 (Original Issue) 1000
Spec 103: Standard for Jet Fuel Quality Control at Airports, Revision 2026.1 1000
Chinese Traditional Wisdom and Contemporary Education Values 600
AI Disclosure in Annual Reports: Evolution, Determinants, and Capital Market Participants’ Perceptions 500
5th World Conference on Detergents: Reinventing the Industry : Opportunities and Challenges 500
Erzählte Gnade 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8106132
求助须知:如何正确求助?哪些是违规求助? 9514898
关于积分的说明 21494661
捐赠科研通 7682468
什么是DOI,文献DOI怎么找? 3409827
关于科研通互助平台的介绍 2537507
邀请新用户注册赠送积分活动 2449948