ReviewInternational journal of molecular sciences2019
Protein and Polysaccharide-Based Magnetic Composite Materials for Medical Applications.
Review in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed.
- Biomimetic Chiral Nanomaterials with Selective Catalysis Activity.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Review
- Magnetic Hydroxyapatite Nanoparticles in Regenerative Medicine and Nanomedicine.International journal of molecular sciences · 2024Review
- Protein and Polysaccharide-Based Optical Materials for Biomedical Applications.International journal of molecular sciences · 2024Review
- Obtaining and Characterizing Composite Biomaterials of Animal Resources with Potential Applications in Regenerative Medicine.Polymers · 2022Article
- Biomaterials and advanced technologies for the evaluation and treatment of ovarian aging.Journal of nanobiotechnology · 2022Review
- New Materials Based on Molecular Interaction between Hyaluronic Acid and Bovine Albumin.Molecules (Basel, Switzerland) · 2022Article
- Fabrication, characterization and antifungal evaluation of polyphenolic extract activated keratin starch coating on infected tomato fruits.Scientific reports · 2022Article
- Recent Progress in Biopolymer-Based Hydrogel Materials for Biomedical Applications.International journal of molecular sciences · 2022Review
- Article
- Starch Solutions Prepared under Different Conditions as Modifiers of Chitosan/Poly(aspartic acid)-Based Hydrogels.Materials (Basel, Switzerland) · 2021Article
- Construction and Application of EGCG-Loaded Lysozyme/Pectin Nanoparticles for Enhancing the Resistance of Nematodes to Heat and Oxidation Stresses.Foods (Basel, Switzerland) · 2021Article
- Article
- Air-Jet Spun Corn Zein Nanofibers and Thin Films with Topical Drug for Medical Applications.International journal of molecular sciences · 2020Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
The combination of protein and polysaccharides with magnetic materials has been implemented in biomedical applications for decades. Proteins such as silk, collagen, and elastin and polysaccharides such as chitosan, cellulose, and alginate have been heavily used in composite biomaterials. The wide diversity in the structure of the materials including their primary monomer/amino acid sequences allow for tunable properties. Various types of these composites are highly regarded due to their biocompatible, thermal, and mechanical properties while retaining their biological characteristics. This review provides information on protein and polysaccharide materials combined with magnetic elements in the biomedical space showcasing the materials used, fabrication methods, and their subsequent applications in biomedical research.
Indexed as
Identifiers
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.