Biocompatibility and nanostructured materials: applications in nanomedicine

被引：176

作者：

Adabi, Mahdi ^{[1
]}

Naghibzadeh, Majid ^{[2
]}

Adabi, Mohsen ^{[3
]}

Zarrinfard, Mohammad Ali ^{[1
]}

Esnaashari, Seyedeh Sara ^{[1
]}

Seifalian, Alexander M. ^{[4
]}

Faridi-Majidi, Reza ^{[1
]}

Aiyelabegan, Hammed Tanimowo ^{[5
]}

Ghanbari, Hossein ^{[1
]}

机构：

[1] Univ Tehran Med Sci, Sch Adv Technol Med, Dept Med Nanotechnol, Tehran, Iran

[2] Shahid Sadoughi Univ Med Sci, Res & Clin Ctr Infertil, Dept Nanotechnol, Yazd, Iran

[3] Islamic Azad Univ, Roudehen Branch, Fac Engn, Dept Met & Mat Engn, Tehran, Iran

[4] UCL, Ctr Nanotechnol & Regenerat Med, London, England

[5] Univ Tehran Med Sci, Sch Adv Technol Med, Dept Med Biotechnol, Tehran, Iran

来源：

ARTIFICIAL CELLS NANOMEDICINE AND BIOTECHNOLOGY | 2017年 / 45卷 / 04期

关键词：

Biocompatibility; blood brain barrier; immune response; nanomaterials; polymer; toxicity; BLOOD-BRAIN-BARRIER; HUMAN SERUM-ALBUMIN; PARTICLE-SIZE; IN-VIVO; PROTEIN ADSORPTION; OXIDATIVE STRESS; ULTRAFINE PARTICLES; GOLD NANOPARTICLES; CARBON NANOTUBES; DRUG-DELIVERY;

D O I：

10.1080/21691401.2016.1178134

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 [微生物学]; 090105 [作物生产系统与生态工程];

摘要：

There has been huge interest in applications of nanomaterials in biomedical science, including diagnosis, drug delivery, and development of human organs. Number of these nanomaterials has been already studied in human or at pre-clinical trial. There is a growing concern on potential toxicity and adverse effects of nanomaterials on human health, including lack of standard method of assessment of toxicology of these materials. Our investigation indicated that the bare and small nanoparticle have higher toxicity than modified and bulk materials, respectively. In addition, spherical nanoparticles have less toxicity than rod nanoparticles due to immune response of body.

引用

页码：833 / 842

页数：10

共 141 条

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Parameters affecting carbon nanofiber electrodes for measurement of cathodic current in electrochemical sensors: an investigation using artificial neural network [J].