The abnormal levels of trypsin in biological fluids can cause some acute illnesses, such as acute pancreatitis, cystic fibrosis and malnutrition. In this paper, we report the development of an integrated liquid crystal (LC) sensing device for simple, rapid and sensitive detection of trypsin assisted by the surfactant-embedded smart hydrogel. The gelatin hydrogel mixed with CTAB is added into the side channel of the LC sensing device. In the presence of trypsin, the gelatin hydrogel is decomposed, which triggers instant release of CTAB into the aqueous solution. The CTAB molecules are then captured by the LCs and form CTAB monolayers at the aqueous/LC interface, which leads to change of the LC images from the bright to the dark appearance under the crossed polarizers. The integrated LC sensing device has a remarkable detection limit of 3.4 × 10 mg/mL. It is successfully employed to single-step detection of trypsin in human serum within 30 min. The integrated LC sensing device with use of the surfactant-embedded hydrogel takes advantages of single-step detection, high portability, remarkable sensitivity and fast response time, which provides a new perspective to facilitate development of user-friendly LC-based sensors.
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http://dx.doi.org/10.1016/j.bios.2021.113313 | DOI Listing |
Nat Commun
December 2024
Neuroengineering Laboratory, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland.
Peripheral neuropathy (PN), the most common complication of diabetes, leads to sensory loss and associated health issues as pain and increased fall risk. However, present treatments do not counteract sensory loss, but only partially manage its consequences. Electrical neural stimulation holds promise to restore sensations, but its efficacy and benefits in PN damaged nerves are yet unknown.
View Article and Find Full Text PDFSmall
December 2024
College of Materials Science and Engineering, Sichuan University, Chengdu, 610064, China.
Piezoelectric materials are increasingly used in portable smart electronics and Internet of Things sensors. Among them, piezoelectric macro fiber composites (MFCs) have attracted much attention due to their architectural simplicity, scalability, and high-power density. However, most MFCs currently use toxic lead-based piezoelectric materials, hindering their applications for bio-friendly intelligent electronics.
View Article and Find Full Text PDFJ Biomol Struct Dyn
February 2025
Department of Chemistry, School of Advanced Sciences, Vellore Institute of Technology, Vellore, India.
is one of the opportunistic pathogens that may cause serious health problems and can produce several virulence factors, which are responsible for various infections, particularly in immunocompromised patients. They are responsible for producing infections on indwelling medical devices by attaching on to them and forming a biofilm. Antibiofilm, antivirulence, and gene expression studies of biofilm treated with esters of flavonols were evaluated.
View Article and Find Full Text PDFAdv Sci (Weinh)
December 2024
RIKEN Center for Advanced Photonics, RIKEN, 519-1399 Aramaki-Aoba, Sendai, Miyagi, 980-0845, Japan.
This study presents a generalized design strategy for novel terahertz-wave polarization space-division multiplexing meta-devices, functioning as multi-polarization generators, modulators, and analyzers. It introduces the spin-decoupled phase control method by combining gradient phase design with circular polarization multiplexing techniques, enabling exceptional flexibility in controlling the polarization directions and spatial distributions of multiple output beams. The meta-device M-4D is significantly demonstrated as proof of concept, which converts an incident linearly polarized wave into four beams with distinct polarization angles.
View Article and Find Full Text PDFSci Rep
December 2024
College of Electrical Engineering, Northeast Electric Power University, Jilin, 132012, China.
The scattering of tiny particles in the atmosphere causes a haze effect on remote sensing images captured by satellites and similar devices, significantly disrupting subsequent image recognition and classification. A generative adversarial network named TRPC-GAN with texture recovery and physical constraints is proposed to mitigate this impact. This network not only effectively removes haze but also better preserves the texture information of the original remote sensing image, thereby enhancing the visual quality of the dehazed image.
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