ReviewTrends in analytical chemistry : TRAC2021
Applications of scaffold-based advanced materials in biomedical sensing.
Review in Trends in analytical chemistry : TRAC, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Mesoporous Materials for Electrochemical Biosensors: From Broad Structure to Silica Film.Small (Weinheim an der Bergstrasse, Germany) · 2026Review
- Review
- A Novel Triad of Bio-Inspired Design, Digital Fabrication, and Bio-Derived Materials for Personalised Bone Repair.Materials (Basel, Switzerland) · 2024Review
- Mesenchymal Stem Cell-based Scaffolds in Regenerative Medicine of Dental Diseases.Stem cell reviews and reports · 2024Review
- Exogeneous metal ions as therapeutic agents in cardiovascular disease and their delivery strategies.Regenerative biomaterials · 2024Review
- Advances in Lipid-Based Codelivery Systems for Cancer and Inflammatory Diseases.Advanced healthcare materials · 2023Review
- Review on Bioinspired Design of ECM-Mimicking Scaffolds by Computer-Aided Assembly of Cell-Free and Cell Laden Micro-Modules.Journal of functional biomaterials · 2023Review
- Celery-derived scaffolds with liver lobule-mimicking structures for tissue engineering transplantation.Smart medicine · 2022Article
- Highly Porous 3D Gold Enhances Sensitivity of Amperometric Biosensors Based on Oxidases and CuCe Nanoparticles.Biosensors · 2022Article
- The Safety of Cold-Chain Food in Post-COVID-19 Pandemic: Precaution and Quarantine.Foods (Basel, Switzerland) · 2022Review
- The Application of Polycaprolactone Scaffolds with Poly(ε-caprolactone)-Poly(ethylene glycol)-Poly(ε-caprolactone) Loaded on Kidney Cell Culture.Materials (Basel, Switzerland) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
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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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.