Opinion - (2023) Volume 14, Issue 2
Received: 02-Feb-2023, Manuscript No. jmbd-23-93662;
Editor assigned: 03-Feb-2023, Pre QC No. P-93662;
Reviewed: 16-Feb-2023, QC No. Q-93662;
Revised: 21-Feb-2023, Manuscript No. R-93662;
Published:
28-Feb-2023
, DOI: 10.37421/2155-9929.2023.14.569
Citation: Ramanaviciuse, Arunas. “Determination of Cancer
Biomarkers using Molecularly Imprinting Polymers." J Mol Biomark Diagn 14
(2023): 569.
Copyright: © 2023 Ramanaviciuse A. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Biomarkers can provide critical information about cancer and many other diseases, so developing analytical systems for detecting biomarkers is an important direction in bioanalytical chemistry. Recently, molecularly imprinted polymers have been used in biomarker detection systems. Prostate cancer, breast cancer, epithelial ovarian cancer, hepatocellular carcinoma, and small molecule cancer biomarkers are all examples of cancer biomarkers. Cancer biomarkers can be found in tumors, blood, urine, feces, and other bodily fluids or tissues. It is technically difficult to determine low concentrations of biomarkers in these complex matrices. MIP-based biosensors were used in the studies reviewed to assess natural or artificial samples such as blood, serum, plasma, or urine. The principles of MIP-based sensor creation and molecular imprinting technology are described.
Sensor and biosensor development is one of the most recent directions of analytical chemistry, so sensor development technologies are evolving quickly. The majority of sensor challenges are related to the sensitivity and selectivity of the recognition system. Polymers are frequently used to improve sensor analytical performance, particularly selectivity towards targeted analytes. Some polymer-based structures have unique electrical conductivity and can be used to modify various signal transducers. The most common methods for forming unique polymeric structures are chemical, electrochemical, enzymatic, and/ or microorganism-assisted conducting polymer formation. To increase the selectivity of developed biosensors, various biomaterials, antigens, antibodies, and receptors are immobilised within and/or over polymers during the design of the biological recognition system [1].
However, these materials are not very stable and are usually quite expensive; thus, there is a need to develop less expensive and more stable biorecognition systems suitable for sensor designs. The most appealing approach to replacing natural biological recognition systems is to use molecularly imprinted polymers. Electrostatic and hydrophobic interactions between monomers and template molecules are important in the template molecules' specific binding to the MIP. The removal of template molecules is an important step in the preparation of the majority of MIPs. The term "gate effect" is used to describe the electrochemical readout of MIP sensors. Electrically conducting polymer-based structures are used among the various MIP-based structures. The population's great potential and interest gained diagnostics from point-of-care devices, which enable selfhealth monitoring and management [2-5].
Finally, MIP-based electrochemical biosensors were used to detect various cancer biomarkers such as proteins or small molecules. As a result, it may be a viable alternative to costly and time-consuming laboratory tests. In the reviewed articles, gold was primarily used for electrodes. Other electrodes, such as GCE and LSG electrodes, were combined with gold nanoparticles. Because of its ease of use in clinical settings, SPE has recently become a popular option. Because determining multiple biomarkers is usually required for cancer detection, developing biosensors capable of detecting multiple biomarkers at the same time would be advantageous. In comparison to routine laboratory tests, these biosensors provide a simple, sensitive, and low-cost analysis required for early cancer detection.
None.
There are no conflicts of interest by author.
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