Single-Cell Omics: Strategies Towards Theranostic Biomarker Discovery Along the Continuum of Premalignant to Invasive Disease in Oncology

Nalbantoglu, Sinem; Amri, Hakima

doi:10.1016/b978-0-12-817532-3.00006-2

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Scaffold-based Materials In Biosensing For Infectious Disease and Cancer Diagnosis1

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2021

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“…Moreover, other receptors (such as glycan, hyaluronic acid, etc.) not only have been used for cancer cell detection, but have also used for imaging [ 82 ], drug delivery [ 83 ] and theranostic applications [ 84 ].…”

Section: Scaffold-based Materials In Biosensing For Infectious Disease and Cancer Diagnosismentioning

confidence: 99%

Applications of scaffold-based advanced materials in biomedical sensing

Sarkhosh-Inanlou

Shafiei‐Irannejad

Azizi

et al. 2021

TrAC Trends in Analytical Chemistry

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There have been many efforts to synthesize advanced materials that are capable of real-time specific recognition of a molecular target, and allow the quantification of a variety of biomolecules. Scaffold materials have a porous structure, with a high surface area and their intrinsic nanocavities can accommodate cells and macromolecules. The three-dimensional structure (3D) of scaffolds serves not only as a fibrous structure for cell adhesion and growth in tissue engineering, but can also provide the controlled release of drugs and other molecules for biomedical applications. There has been a limited number of reports on the use of scaffold materials in biomedical sensing applications. This review highlights the potential of scaffold materials in the improvement of sensing platforms and summarizes the progress in the application of novel scaffold-based materials as sensor, and discusses their advantages and limitations. Furthermore, the influence of the scaffold materials on the monitoring of infectious diseases such as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and bacterial infections, was reviewed.

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Section: Scaffold-based Materials In Biosensing For Infectious Disease and Cancer Diagnosismentioning

confidence: 99%