ArticleBiotechnology and bioengineering2011
Microfluidic synthesis of composite cross-gradient materials for investigating cell-biomaterial interactions.
Article in Biotechnology and bioengineering, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- Optimization of a tunable process for rapid production of calcium phosphate microparticles using a droplet-based microfluidic platform.Frontiers in bioengineering and biotechnology · 2024Article
- Chips for Biomaterials and Biomaterials for Chips: Recent Advances at the Interface between Microfabrication and Biomaterials Research.Advanced healthcare materials · 2021Review
- Preparation of Compositional Gradient Polymeric Films Based on Gradient Mesh Template.Polymers · 2018Article
- Gradient Material Strategies for Hydrogel Optimization in Tissue Engineering Applications.High-throughput · 2018Review
- 3D Microtissues for Injectable Regenerative Therapy and High-throughput Drug Screening.Journal of visualized experiments : JoVE · 2017Article
- Combinatorial Method/High Throughput Strategies for Hydrogel Optimization in Tissue Engineering Applications.Gels (Basel, Switzerland) · 2016Review
- Anisotropic material synthesis by capillary flow in a fluid stripe.Biomaterials · 2011Article
- BIOMIMETIC GRADIENT HYDROGELS FOR TISSUE ENGINEERING.The Canadian journal of chemical engineering · 2010Article
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
Combinatorial material synthesis is a powerful approach for creating composite material libraries for the high-throughput screening of cell-material interactions. Although current combinatorial screening platforms have been tremendously successful in identifying target (termed "hit") materials from composite material libraries, new material synthesis approaches are needed to further optimize the concentrations and blending ratios of the component materials. Here we employed a microfluidic platform to rapidly synthesize composite materials containing cross-gradients of gelatin and chitosan for investigating cell-biomaterial interactions. The microfluidic synthesis of the cross-gradient was optimized experimentally and theoretically to produce quantitatively controllable variations in the concentrations and blending ratios of the two components. The anisotropic chemical compositions of the gelatin/chitosan cross-gradients were characterized by Fourier transform infrared spectrometry and X-ray photoelectron spectrometry. The three-dimensional (3D) porous gelatin/chitosan cross-gradient materials were shown to regulate the cellular morphology and proliferation of smooth muscle cells (SMCs) in a gradient-dependent manner. We envision that our microfluidic cross-gradient platform may accelerate the material development processes involved in a wide range of biomedical applications.
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.