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Molecularly imprinted polymer-based nanodiagnostics for clinically pertinent bacteria and virus detection for future pandemics
Biosensors and Bioelectronics: X ; 12, 2022.
Article in English | EMBASE | ID: covidwho-2246489
ABSTRACT
There seems to be a growing curiosity for utilizing MIPs to recognize molecules that can be applied in numerous fields, such as biomimetic antibodies, detection of viruses and bacteria, the broad range of sensing devices, etc., owing to its scalability and economic viability. MIPs have higher thermal and chemical stability, delivering a promising potential for recognizing bacteria and viruses. The bacteria and virus imprinted polymer exhibit elongated product life-time, reproducible fabrication, robustness, reusability, sensitivity, and high target selectivity. Moreover, the MIPs could give consistent screening along with negligible false positive/negative outcomes, which is vital for the control and prevention of viral and bacterial infections. In the viral and bacterial imprinting process, critical aspects, such as compositional complexity, fragility, solubility, and target size, should be systematically evaluated and analytically considered. Although, the application of MIPs has a number of drawbacks and challenges that require solving to develop sensing platforms with high specificity and sensitivity for clinical application. In the present review, current progress and advancement regarding the reasoning and applications of MIPs as recognition molecules in various biosensors for detecting bacteria and viruses and its existing noteworthy challenges along with future perspectives are also reflected.
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Full text: Available Collection: Databases of international organizations Database: EMBASE Type of study: Prognostic study Language: English Journal: Biosensors and Bioelectronics: X Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: EMBASE Type of study: Prognostic study Language: English Journal: Biosensors and Bioelectronics: X Year: 2022 Document Type: Article