Araştırma Makalesi

Meme kanseri hücresi tanımlayan biyosensör

Cilt: 63 Sayı: 3 9 Eylül 2024
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BREAST CANCER DETECTING BIOSENSOR

Abstract

Aim: This study aims to develop a rapid detection system, which is highly sensitive and selective for breast cancer cells. An efficient biosensor is aimed to be formed by functionalizing quartz crystal microbalance (QCM) system with ligands those are specific for breast cancer cell membrane receptors. Materials and Methods: Biosensors are sensitive diagnostic devices based on affinity principle are composed of a bioreceptor and a transducer. Quartz crystal microbalance (QCM) system detects the changes in the frequency of crystal resonator created by minimal changes in the mass. The QCM chip was first coated with polymeric nanoparticles that we prepared. Its surface is functionalized by attaching ligands like transferrin, notch 4 and her2/neu monoclonal antibodies on the nanoparticle layer. The chemical and physical features of modified QCM chip surface is analyzed. The human breast cancer cells MCF 7, MDA-MB 231, SKBR3 and control fibroblast cells L929 are prepared for experiments by growing in culture. Cells suspended in PBS are passed over the QCM surface and frequency changes resulting from cell binding are recorded. The binding kinetics, affinity and reusability of the biosensor is determined. Results: The nanoparticles for coating the QCM chip had a diameter of 73.22 nm and the polydispersity was 0.229. It is observed that they covered the surface homogeneously. The detection limit of transferrin, notch 4 and her2/neu functionalized QCM was 4-10 cells/ml.. Binding kinetics best fitted to Langmuir type binding. Conclusion: The QCM based biosensor detected breast cancer cells through their membrane receptor rapidly with high affinity and selectivity. The biosensor retained its efficiency in repeated usage. It is concluded that this rapid detection system may find a place in clinical applications.

Keywords

Kaynakça

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Ayrıntılar

Birincil Dil

Türkçe

Konular

Kanser Genetiği , Kanser Hücre Biyolojisi , Kanser Tanısı

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

9 Eylül 2024

Gönderilme Tarihi

15 Aralık 2023

Kabul Tarihi

21 Mart 2024

Yayımlandığı Sayı

Yıl 1970 Cilt: 63 Sayı: 3

Kaynak Göster

Vancouver
1.Ayse Kevser Ozden Piskin. Meme kanseri hücresi tanımlayan biyosensör. ETD. 01 Eylül 2024;63(3):396-403. doi:10.19161/etd.1404822

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