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Home > Press > New Nano-Based Method Found for Early Diagnosis of Prostate Cancer

Abstract:
Immunosensors based on the nanocomposite of carbon nanotubes and ionic liquids were produced by the Iranian researchers fat Kurdistan University in order to diagnose prostate cancer. The immunosensor can be used in clinical and medical diagnoses.

New Nano-Based Method Found for Early Diagnosis of Prostate Cancer

Tehran, Iran | Posted on March 3rd, 2013

It is vital to early diagnose cancer in order to improve the treatment for the patients. Nowadays, the need for reliable diagnosis tests has attracted the attention of many scientific societies in order to identify tumor markers in human serum.

Prostate specific antigen (PSA) is known as a valuable biomarker for the treatment of patients who suffer from prostate cancer. The aim of this research was to design and to produce a nanocomposite by using carbon nanotubes and ionic liquids in order to be used in the production of sensitive, repeatable, simple, and cost-effective immunosensors for the measurement of tumor markers, especially, PSA tumor marker.

Sandwich connection was used in this research in order to measure PSA. In this method, the stabilized antibody firstly entraps the related analyte (antigen), then the entrapped antigen is identified and measured with the help of the second marked antibody. Sandwich method has very high selectivity and sensitivity because it uses two similar antibodies.

At the same time with its simplicity (the lack of the need for complicated synthesis procedures), the nanocomposite synthesized in this research increased the sensitivity in the process in comparison with other methods reported in the references due to its increase in the surface. The other advantage in the designing and production of immunosensors is that it does not need surface blocking materials such as bull albumin serum. The reduction in incubation time between antibody and antigen, and selectivity are among other characteristics of this immunosensor.

Results of the research have been published in 2013 in Biosensors and Bioelectronics, vol. 42. For more information about the details of the research, visit the full paper on pages 439-446 on the same journal.

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