AIMC Topic: Hydrogen-Ion Concentration
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Light-driven carbon nitride microswimmers with propulsion in biological and ionic media and responsive on-demand drug delivery.
Science robotics
Jan 19, 2022
We propose two-dimensional poly(heptazine imide) (PHI) carbon nitride microparticles as light-driven microswimmers in various ionic and biological media. Their high-speed (15 to 23 micrometer per second; 9.5 ± 5.4 body lengths per second) swimming in...
Magnetic Biohybrid Microrobot Multimers Based on Cells for Enhanced Targeted Drug Delivery.
ACS applied materials & interfaces
Jan 12, 2022
Magnetic micro-/nanorobots have been regarded as a promising platform for targeted drug delivery, and tremendous strategies have been developed in recent years. However, realizing precise and efficient drug delivery in vivo still remains challenging,...
A macroporous smart gel based on a pH-sensitive polyacrylic polymer for the development of large size artificial muscles with linear contraction.
Soft matter
Nov 3, 2021
The physics of soft matter can contribute to the revolution in robotics and medical prostheses. These two fields require the development of artificial muscles with behavior close to biological muscles. Today, artificial muscles rely mostly on active ...
A Liquid Metal Artificial Muscle.
Advanced materials (Deerfield Beach, Fla.)
Sep 12, 2021
Artificial muscles possess a vast potential in accelerating the development of robotics, exoskeletons, and prosthetics. Although a variety of emerging actuator technologies are reported, they suffer from several issues, such as high driving voltages,...
Machine learning for manually-measured water quality prediction in fish farming.
PloS one
Aug 18, 2021
Monitoring variables such as dissolved oxygen, pH, and pond temperature is a key aspect of high-quality fish farming. Machine learning (ML) techniques have been proposed to model the dynamics of such variables to improve the fish farmer's decision-ma...
Prediction of population behavior of Listeria monocytogenes in food using machine learning and a microbial growth and survival database.
Scientific reports
May 19, 2021
In predictive microbiology, statistical models are employed to predict bacterial population behavior in food using environmental factors such as temperature, pH, and water activity. As the amount and complexity of data increase, handling all data wit...
Exploration of natural red-shifted rhodopsins using a machine learning-based Bayesian experimental design.
Communications biology
Mar 19, 2021
Microbial rhodopsins are photoreceptive membrane proteins, which are used as molecular tools in optogenetics. Here, a machine learning (ML)-based experimental design method is introduced for screening rhodopsins that are likely to be red-shifted from...
Artificial neural network modelling for biodecolorization of Basic Violet 03 from aqueous solution by biochar derived from agro-bio waste of groundnut hull: Kinetics and thermodynamics.
Chemosphere
Mar 6, 2021
In this study, Levenberg Marquardt back propagation algorithm was used to train the Artificial Neural Network (ANN) and to predict the adsorptive removal of cationic dye Basic Violet 03 (BV03) by biochar derived from biowaste of groundnut hull. The e...
Antibiofilm Activity of α-Amylase from Bacillus subtilis and Prediction of the Optimized Conditions for Biofilm Removal by Response Surface Methodology (RSM) and Artificial Neural Network (ANN).
Applied biochemistry and biotechnology
Mar 1, 2021
α-amylase is known to have antibiofilm activity against biofilms of both Gram positive and Gram-negative bacterial strains. Partially purified α-amylase from Bacillus subtilis was found to have inhibit biofilm formed by P. aeruginosa and S. aureus. T...
Application of machine learning methods to pathogen safety evaluation in biological manufacturing processes.
Biotechnology progress
Feb 24, 2021
The production of recombinant therapeutic proteins from animal or human cell lines entails the risk of endogenous viral contamination from cell substrates and adventitious agents from raw materials and environment. One of the approaches to control su...
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