4.7 Article

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

期刊

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.ijbiomac.2018.06.183

关键词

Folate bioreceptor; Cell targeting; Cytosensor; Nitrogen doped graphene quantum dots; Cancer diagnosis

资金

  1. Liver and Gastrointestinal Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
  2. Liver and Gastrointestinal Diseases Research Center of Tabriz University of Medical Science under Ethical Committee License of the National Institute for Medical Research Development [IR.NIMAD.REC.1396210]

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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 NGQDs 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 x 10(4)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 x 10(4) and 500 to 4.0 x 10(4) 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. (C) 2018 Published by Elsevier B.V.

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