3D Printed Nanosensors for Cancer Diagnosis: Advances and Future Perspective


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Abstract

:Cancer is the leading cause of mortality worldwide, requiring continuous advancements in diagnosis and treatment. Traditional methods often lack sensitivity and specificity, leading to the need for new methods. 3D printing has emerged as a transformative tool in cancer diagnosis, offering the potential for precise and customizable nanosensors. These advancements are critical in cancer research, aiming to improve early detection and monitoring of tumors. In current times, the usage of the 3D printing technique has been more prevalent as a flexible medium for the production of accurate and adaptable nanosensors characterized by exceptional sensitivity and specificity. The study aims to enhance early cancer diagnosis and prognosis by developing advanced 3D-printed nanosensors using 3D printing technology. The research explores various 3D printing techniques, design strategies, and functionalization strategies for cancer-specific biomarkers. The integration of these nanosensors with detection modalities like fluorescence, electrochemical, and surface-enhanced Raman spectroscopy is also evaluated. The study explores the use of inkjet printing, stereolithography, and fused deposition modeling to create nanostructures with enhanced performance. It also discusses the design and functionalization methods for targeting cancer indicators. The integration of 3D-printed nanosensors with multiple detection modalities, including fluorescence, electrochemical, and surface-enhanced Raman spectroscopy, enables rapid and reliable cancer diagnosis. The results show improved sensitivity and specificity for cancer biomarkers, enabling early detection of tumor indicators and circulating cells. The study highlights the potential of 3D-printed nanosensors to transform cancer diagnosis by enabling highly sensitive and specific detection of tumor biomarkers. It signifies a pivotal step forward in cancer diagnostics, showcasing the capacity of 3D printing technology to produce advanced nanosensors that can significantly improve early cancer detection and patient outcomes.

About the authors

Babita Gupta

Pharmacy, School of Medical and Allied Sciences, Galgotias University

Email: info@benthamscience.net

Rishabha Malviya

Department of Pharmacy, School of Medical and Allied Sciences, Galgotias University

Author for correspondence.
Email: info@benthamscience.net

Saurabh Srivastava

School of Pharmacy,, KPJ Healthcare University College (KPJUC),

Author for correspondence.
Email: info@benthamscience.net

Irfan Ahmad

Department of Clinical Laboratory Science, College of Applied Medical Sciences,, King Khalid University

Email: info@benthamscience.net

Safia Rab

Department of Clinical Laboratory Science, King Khalid University

Email: info@benthamscience.net

Deependra Singh

School of Pharmacy, Graphic Era Hill University

Email: info@benthamscience.net

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