TY - JOUR
T1 - Lipid-Based Intelligent Vehicle Capabilitized with Physical and Physiological Activation
AU - Zhang, Fuxue
AU - Xia, Bozhang
AU - Sun, Jiabei
AU - Wang, Yufei
AU - Wang, Jinjin
AU - Xu, Fengfei
AU - Chen, Junge
AU - Lu, Mei
AU - Yao, Xin
AU - Timashev, Peter
AU - Zhang, Yuanyuan
AU - Chen, Meiwan
AU - Che, Jing
AU - Li, Fangzhou
AU - Liang, Xing Jie
N1 - Publisher Copyright:
Copyright © 2022 Fuxue Zhang et al.
PY - 2022
Y1 - 2022
N2 - Intelligent drug delivery system based on “stimulus-response” mode emerging a promising perspective in next generation lipid-based nanoparticle. Here, we classify signal sources into physical and physiological stimulation according to their origin. The physical signals include temperature, ultrasound, and electromagnetic wave, while physiological signals involve pH, redox condition, and associated proteins. We first summarize external physical response from three main points about efficiency, particle state, and on-demand release. Afterwards, we describe how to design drug delivery using the physiological environment in vivo and present different current application methods. Lastly, we draw a vision of possible future development.
AB - Intelligent drug delivery system based on “stimulus-response” mode emerging a promising perspective in next generation lipid-based nanoparticle. Here, we classify signal sources into physical and physiological stimulation according to their origin. The physical signals include temperature, ultrasound, and electromagnetic wave, while physiological signals involve pH, redox condition, and associated proteins. We first summarize external physical response from three main points about efficiency, particle state, and on-demand release. Afterwards, we describe how to design drug delivery using the physiological environment in vivo and present different current application methods. Lastly, we draw a vision of possible future development.
UR - http://www.scopus.com/inward/record.url?scp=85146416826&partnerID=8YFLogxK
U2 - 10.34133/2022/9808429
DO - 10.34133/2022/9808429
M3 - Review article
AN - SCOPUS:85146416826
SN - 2096-5168
VL - 2022
JO - Research
JF - Research
M1 - 9808429
ER -