Multifunctional aptasensors based on mesoporous silica nanoparticles as an efficient platform for bioanalytical applications: Recent advances

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作者：
Kholafazad Kordasht, Houman [1 ]
Pazhuhi, Mahdiyeh [2 ]
Pashazadeh-Panahi, Paria [3 ]
Hasanzadeh, Mohammad [3 ]
shadjou, Nasrin [4 ]
机构：
[1] Department of Food Hygiene and Aquatic, Faculty of Veterinary Medicine, University of Tabriz, Tabriz, Iran
[2] Faculty of Physics, University of Tabriz, Tabriz, Iran
[3] Pharmaceutical Analysis Research Center, Tabriz University of Medical Science, Tabriz, Iran
[4] Department of Nanotechnology, Faculty of Science, Urmia University, Urmia, Iran
来源：
TrAC - Trends in Analytical Chemistry | 2020年 / 124卷
关键词：
Mesoporous silica nanoparticles (MSNs) are an essential and inseparable part of scientific application in today's world. These materials garnered more attention; in biosensing; catalysis; bioimaging; energy storage; and disease diagnosis due to their privileged futures. The unique physiochemical properties have been made these nanomaterials an excellent candidate for drug delivery applications as well as electrochemical and optical biosensing. MSNs are able to encapsulate enormous materials in their structural pores and deliver those materials to target; more meticulously. Aptasensor is type of biosensors that use aptamer for increasing selectivity and sensitivity. These are capture by nanomaterials by covalent and non-covalent linking for many different purpose such as diagnosis and target therapy. The aim of this review is introducing the most recent research progress on aptasensors based on MSNs; including various optical and electrochemical aptasensors; their strategy; and procedure; limit of detection; as well as their advantages and limitation. Moreover; different types of aptasensors based on MSNs is highlighted in this review for targeting and treatment of cancer cells. Although encouraging and interesting investigations have been achieved in this filed; design and mass production and effective biological application of aptasensors and MSNs based aptasensors are still challenging. © 2019 Elsevier B.V;
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