Controllable release of dopamine from simulated enzyme-containing biomembrane by biased potential.

Anal Chim Acta

Key Laboratory of Cluster Science, Ministry of Education, Beijing Key Laboratory of Photoelectronic and Electrophotonic Conversion Materials, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, 102488, PR China. Electronic address:

Published: August 2020

Controllable release of dopamine (DA) is worth studying for its significant in physiological metabolic process. β-cyclodextrin/11-mercaptoundecanoic acid self-assembled monolayer (β-CD/MUA SAM) based on hydrogen bonds network was constructed as simulated enzyme-containing biomembrane. DA interacted with β-CD based on intermolecular hydrogen bond and formed inclusion complexes in SAM, namely DA@β-CD/MUA SAM. The desorption process of DA from DA@β-CD/MUA SAM revealed the release behavior of DA from enzyme-containing biomembrane at molecular level. Positive biased potential as external stimulus was applied at DA@β-CD/MUA SAM, reducing the negative charge density of SAM. The decrease of negative charge density of SAM resulted in the weakening of hydrogen bond between DA and β-CD, which in turn caused DA to be released. Using scanning electrochemical microscopy, positive biased potential not only had specificity induction for the release of DA, but also was able to monitor the release quantitatively in real time. These results showed that positive biased potential as external stimulus was favorable for the controllable release of DA, suggesting the possible application of biased potential in controllable regulation field.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.aca.2020.05.040DOI Listing

Publication Analysis

Top Keywords

biased potential
20
controllable release
12
enzyme-containing biomembrane
12
da@β-cd/mua sam
12
positive biased
12
release dopamine
8
simulated enzyme-containing
8
potential controllable
8
hydrogen bond
8
potential external
8

Similar Publications

Codon bias, nucleotide selection, and genome size predict in situ bacterial growth rate and transcription in rewetted soil.

Proc Natl Acad Sci U S A

January 2025

Physical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, CA 94550.

In soils, the first rain after a prolonged dry period represents a major pulse event impacting soil microbial community function, yet we lack a full understanding of the genomic traits associated with the microbial response to rewetting. Genomic traits such as codon usage bias and genome size have been linked to bacterial growth in soils-however, often through measurements in culture. Here, we used metagenome-assembled genomes (MAGs) with O-water stable isotope probing and metatranscriptomics to track genomic traits associated with growth and transcription of soil microorganisms over one week following rewetting of a grassland soil.

View Article and Find Full Text PDF

Arctic soil carbon insulation averts large spring cooling from surface-atmosphere feedbacks.

Proc Natl Acad Sci U S A

January 2025

Laboratoire de Géologie, Ecole Normale Supérieure, CNRS, Institut Pierre-Simon Laplace, Université Paris Sciences et Lettres, Paris 75005, France.

The insulative properties of soil organic carbon (SOC) and surface organic layers (moss, lichens, litter) regulate surface-atmosphere energy exchanges in the Arctic through a coupling with soil temperatures. However, a physical description of this process is lacking in many climate models, potentially biasing their high-latitude climate predictions. Using a coupled surface-atmosphere model, we identified a strong feedback loop between soil insulation, surface air temperature, and snowfall.

View Article and Find Full Text PDF

Epidemiological methods in transition: Minimizing biases in classical and digital approaches.

PLOS Digit Health

January 2025

Social Physics and Complexity (SPAC) Lab, LIP-Laboratory for Instrumentation and Experimental Particle Physics, Lisboa, Portugal.

Epidemiology and Public Health have increasingly relied on structured and unstructured data, collected inside and outside of typical health systems, to study, identify, and mitigate diseases at the population level. Focusing on infectious diseases, we review the state of Digital Epidemiology at the beginning of 2020 and how it changed after the COVID-19 pandemic, in both nature and breadth. We argue that Epidemiology's progressive use of data generated outside of clinical and public health systems creates several technical challenges, particularly in carrying specific biases that are almost impossible to correct for a priori.

View Article and Find Full Text PDF

Purpose: Previous studies have reported divergent sexual responses to aging; however, specific variations in gene expression between aging males and females and their potential association with age-related retinal diseases remain unclear. This study collected data from public databases and developed a comprehensive comparison of retina between aging females and males.

Methods: Single-cell RNA (scRNA) and bulk RNA sequencing data of the aging retina from females and males in public databases were utilized for integrated analysis to investigate sex-biased expression in retina.

View Article and Find Full Text PDF

Purpose: Prolonged exposure to broadband light with a short-wavelength (blue) or long-wavelength (orange/red) bias is known to impact eye growth and refraction, but the mechanisms underlying this response are unknown. Thus, the present study investigated the effects of broadband blue and orange lights with well-differentiated spectrums on refractive development and global flash electroretinography (gfERG) measures of retinal function in the chick myopia model.

Methods: Chicks were raised for 4 days with monocular negative lenses, or no lens, under blue, orange, or white light.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!