Abstract

Early detection of cancer disease is vital to the successful treatment, follow-up and survival of patients, therefore sensitive and specific methods are still required. Mucin 1 (MUC1) is a clinically approved biomarker for determining the cancer that is a type I transmembrane protein with a dense glycosylated extracellular domain extending from the cell surface to 200–500 nm. In this study, nanopolymers were designed with a lectin affinity-based recognition system for MUC1 detection as a bioactive layer on electrochemical biosensor electrode surfaces. They were synthesized using a mini emulsion polymerization method and derivatized with triethoxy-3-(2-imidazolin-1-yl) propylsilane (IMEO) and functionalized with Concanavalin a Type IV (Con A) lectin. Advanced characterization studies of nanopolymers were performed. The operating conditions of the sensor system have been optimized. Biosensor validation studies were performed. Real sample blood serum was analyzed and this new method compared with a commercially available medical diagnostic kit (Enzyme-Linked ImmunoSorbent Assay-ELISA). The new generation nanopolymeric material has been shown to be an affordable, sensitive, reliable and rapid device with 0.1–100 U/mL linear range and 20 min response time.

Highlights

  • Cancer is known as a complex disease with a large number of temporospatial changes in cell physiology, leading to malignant tumors [1]

  • Optimization of Concanavalin A (ConA) binding to p(HEMA)-IMEO nanopolymers were carried out with respect to time, pH and concentration parameters with three repeated experiments

  • ConA binding to p(HEMA) was less than p(HEMA)-IMEO

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Summary

Introduction

Cancer is known as a complex disease with a large number of temporospatial changes in cell physiology, leading to malignant tumors [1]. The three most common cancers for women are breast, lung and colorectal cancers. Most death is caused by lung, prostate and colorectum in men and lung, breast and colorectal cancer in women. Using of imaging technologies such as X-ray, ultrasonography, computer tomography requires large tumors. In most cases, they can be imaged when the tumor reaches a diameter of 1 cm or a weight of about 1 g. They can be imaged when the tumor reaches a diameter of 1 cm or a weight of about 1 g Since these methods require long processes, early diagnosis of the disease is not very possible [5].

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