| Title |
Molecularly imprinted polymers for the determination of cancer biomarkers / |
| Authors |
Pilvenytė, Greta ; Ratautaitė, Vilma ; Bogužaitė, Raimonda ; Ramanavičius, Arūnas ; Viter, Roman ; Ramanavičius, Simonas |
| DOI |
10.3390/ijms24044105 |
| Full Text |
|
| Is Part of |
International journal of molecular sciences.. Basel : MDPI AG. 2023, vol. 24, iss. 4, art. no. 4105, p. 1-14.. ISSN 1661-6596. eISSN 1422-0067 |
| Keywords [eng] |
breast cancer biomarker ; cancer biomarker ; conducting polymer (CP) ; disease biomarkers ; electrochemical sensor ; epithelial ovarian cancer biomarker ; hepatocellular carcinoma biomarker ; molecularly imprinted polymer (MIP) ; prostate cancer biomarker ; small molecule cancer markers |
| Abstract [eng] |
Biomarkers can provide critical information about cancer and many other diseases; therefore, developing analytical systems for recognising biomarkers is an essential direction in bioanalytical chemistry. Recently molecularly imprinted polymers (MIPs) have been applied in analytical systems to determine biomarkers. This article aims to an overview of MIPs used for the detection of cancer biomarkers, namely: prostate cancer (PSA), breast cancer (CA15-3, HER-2), epithelial ovarian cancer (CA-125), hepatocellular carcinoma (AFP), and small molecule cancer biomarkers (5-HIAA and neopterin). These cancer biomarkers may be found in tumours, blood, urine, faeces, or other body fluids or tissues. The determination of low concentrations of biomarkers in these complex matrices is technically challenging. The overviewed studies used MIP-based biosensors to assess natural or artificial samples such as blood, serum, plasma, or urine. Molecular imprinting technology and MIP-based sensor creation principles are outlined. Analytical signal determination methods and the nature and chemical structure of the imprinted polymers are discussed. Based on the reviewed biosensors, the results are compared, and the most suitable materials for each biomarker are discussed. |
| Published |
Basel : MDPI AG |
| Type |
Journal article |
| Language |
English |
| Publication date |
2023 |
| CC license |
|
