ArticleACS applied materials & interfaces2012
Improving liquid-crystal-based biosensing in aqueous phases.
Article in ACS applied materials & interfaces, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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Who cites it
9 citing papers in PubMed.
- Neural networks determination of material elastic constants and structures in nematic complex fluids.Scientific reports · 2023Article
- Dissipative Particle Dynamics Simulation of the Sensitive Anchoring Behavior of Smectic Liquid Crystals at Aqueous Phase.Molecules (Basel, Switzerland) · 2022Article
- Designing Biological Microsensors with Chiral Nematic Liquid Crystal Droplets.ACS applied materials & interfaces · 2022Article
- Tunable, Low-Cost, Multi-Channel, Broadband Liquid Crystal Shutter for Fluorescence Imaging in Widefield Microscopy.Micromachines · 2022Article
- Review
- Development and Application of Liquid Crystals as Stimuli-Responsive Sensors.Molecules (Basel, Switzerland) · 2022Review
- Bidirectional rotation control of a carbon fiber in nematic liquid crystal using AC electric field.Scientific reports · 2020Article
- Fast Response and Spontaneous Alignment in Liquid Crystals Doped with 12-Hydroxystearic Acid Gelators.Materials (Basel, Switzerland) · 2018Article
- Thermotropic Liquid Crystal-Assisted Chemical and Biological Sensors.Materials (Basel, Switzerland) · 2017Review
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Liquid crystal (LC)-based biological sensors permit the study of aqueous biological samples without the need for the labeling of biological species with fluorescent dyes (which can be laborious and change the properties of the biological sample under study). To date, studies of LC-based biosensors have explored only a narrow range of the liquid crystal/alignment layer combinations essential to their operation. Here, we report a study of the role of LC elastic constants and the surface anchoring energy in determining the sensitivity of LC-based biosensors. By investigating a mixture of rod-shape and bent-shape mesogens, and three different alignment layers, we were able to widen the useful detection range of a LC-based sensor by providing an almost-linear mapping of effective birefringence with anionic surfactant concentrations between 0.05 mM and 1 mM (model target analyte). These studies pave the way for optimization of LC-based biosensors and reveal the importance of the choice of both the LC material and the alignment layer in determining sensor properties.
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Registered trials
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