Facile synthesis of superparamagnetic iron oxide nanoparticles with tunable size: from individual nanoparticles to nanoclusters

Micro & nano letters

article

Xuan Mi¹  Meikui Tong¹  Jia Cai²  Hui Su³  Shiyuan Liu²  Yongjie Ma¹  Xunbin Wei¹  Chunfu Zhang¹ 

[1] School of Biomedical Engineering, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Jiao Tong University;Changzheng Hospital, Secondary Military Medical University;State Key Laboratory of Metal Matrix Composites, Shanghai Jiao Tong University;Department of Nuclear Medicine, Rui Jin Hospital, School of Medicine, Shanghai Jiao Tong University

关键词: iron compounds;    nanoparticles;    superparamagnetism;    magnetic particles;    nanomagnetics;    nanofabrication;    polymers;    particle size;    magnetic resonance imaging;    facile synthesis;    superparamagnetic iron oxide nanoparticles;    tunable size;    nanoclusters;    one-pot polyol method;    poly (acrylic acid);    isolated nanoparticles;    nanoparticle clusters;    physiological conditions;    magnetic resonance imaging;    transverse relaxivities;    FeO;   

DOI  :  10.1049/mnl.2017.0192

学科分类：计算机科学（综合）

来源: Wiley

【 摘 要 】

ntroduction: Stroke is the second major cause of death worldwide. APACHE IV is a successful scoring system assessing severity of illness and prognosis of ICU patients. The objective of this study was to compare APACHE IV scoring system for patients admitted with stroke with APACHE II scoring system Methodology: We included all patients with the diagnosis of stroke, who were admitted to intensive care unit of our hospital for tracheal intubation and mechanical ventilation, between 1 January 2008 and 1 February 2009 from prospectively collected ICU database. Observed mortality rates were compared with predicted mortality rates for both the APACHE IV and APACHE II scoring systems, SMR, sensitivity and specificity were determined. The mortality percentages were predicted using the APACHE IV system and were compared with the observed data. The statistical analysis was carried out using SPSS for Windows version 15.0. The qualitative variables were compared to a χ2 (chi-squared) test.

【 授权许可】

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