• English
    • Persian
    • English
    • Persian
  • Persian 
    • English
    • Persian
    • English
    • Persian
  • ورود
مشاهده آیتم 
  •   صفحه اصلی مخزن دانش
  • TBZMED Published Academics Works
  • Published Articles
  • مشاهده آیتم
  •   صفحه اصلی مخزن دانش
  • TBZMED Published Academics Works
  • Published Articles
  • مشاهده آیتم
JavaScript is disabled for your browser. Some features of this site may not work without it.

Targeting and sensing of some cancer cells using folate bioreceptor functionalized nitrogen-doped graphene quantum dots

Thumbnail
تاریخ
2018
نویسنده
Soleymani, J
Hasanzadeh, M
Somi, MH
Ozkan, SA
Jouyban, A
Metadata
نمایش پرونده کامل آیتم
چکیده
In recent years, study of folate receptor (FR) expression related to targeting, drug delivery and counting of tumoral cells have been followed. In this work, a fast and simple strategy was reported to determine the FR expressed cancer cells based on the selective bonding of the folic acid/folate (FA) to the FR-positive tumor cells. The folate decorated Nitrogen-doped graphene quantum dots (N-GQDs) were utilized as selective targeting of the MKN 45 cells. Fluorescent microscopy imaging investigations revealed that the produced FA conjugated N-GQDs could specifically attach to the target FR-positive tumor cells. Due to the fluorescence emission of N-GQDs, the developed cytosensor is free from attaching any fluorescent ligand i.e. Rhodamine B to capture the florescence microscopy images and also flow cytometry analysis. The fabricated cytosensor possesses a dynamic range from 100 to 7.0 -- 104 cell·mL?1 with high selectivity. Furthermore, the cytosensor also could visualized the MCF 7 and HT 29 cells where the dynamic ranges were 100 to 1.0 -- 104 and 500 to 4.0 -- 104 cells·mL?1, respectively. In vitro toxicity tests has shown low toxicity of the synthesized N-GQDs where the minimum viability is 68%. The proposed FA-N-GQDs based cytosensor provides a novel platform for detection of MKN 45, HT 29 and MCF 7 cancer cell lines which could be used in multi-channel cancer diagnosis biodevice. © 2018
URI
http://dspace.tbzmed.ac.ir:8080/xmlui/handle/123456789/58123
Collections
  • Published Articles

مخزن دانش دانشگاه علوم پزشکی تبریز در نرم افزار دی اسپیس، کپی رایت 2018 ©  
تماس با ما | Send Feedback
Theme by 
Atmire NV
 

 

مرور

همه مخزنجامعه ها و مجموعه هابراساس تاریخ انتشارنویسنده هاعنوانهاموضوعاین مجموعهبراساس تاریخ انتشارنویسنده هاعنوانهاموضوع

حساب من

ورودثبت نام

مخزن دانش دانشگاه علوم پزشکی تبریز در نرم افزار دی اسپیس، کپی رایت 2018 ©  
تماس با ما | Send Feedback
Theme by 
Atmire NV