Bacterial Diversity in Cases of Lung Infection in Cystic Fibrosis Patients: 16S Ribosomal DNA (rDNA) Length Heterogeneity PCR and 16S rDNA Terminal Restriction Fragment Length Polymorphism Profiling [PDF]
Geraint B. Rogers+5 more
openalex +1 more source
Patterns of bacterial diversity in the marine planktonic particulate matter continuum
M. Mestre+3 more
semanticscholar +1 more source
State‐of‐the‐Art, Insights, and Perspectives for MOFs‐Nanocomposites and MOF‐Derived (Nano)Materials
Different approaches to MOF‐NP composite formation, such as ship‐in‐a‐bottle, bottle‐around‐the‐ship and in situ one‐step synthesis, are used. Owing to synergistic effects, the advantageous features of the components of the composites are beneficially combined, and their individual drawbacks are mitigated.
Stefanos Mourdikoudis+6 more
wiley +1 more source
Bacterial Diversity in Aquacultured African Catfish and Source Pond Water in Buea, Cameroon. [PDF]
Nchanji GT+7 more
europepmc +1 more source
Using ecological diversity measures with bacterial communities [PDF]
Thomas C. J. Hill
openalex +1 more source
Engineering Magnetotactic Bacteria as Medical Microrobots
Magnetotactic bacteria (MTB) are living microorganisms that produce magnetosomes for navigation using the Earth's geomagnetic field. Their built‐in magnetic components, along with their intrinsic and/or modified biological functions, make them one of the most promising platforms for making future living and programmable microrobots.
Jiaqi Wang+9 more
wiley +1 more source
Degradable film mulching recruited beneficial microbiota and increased rhizosphere bacterial diversity in sunflower. [PDF]
Meng T+10 more
europepmc +1 more source
This review explores the integration of responsive materials and soft robotic actuators with implantable electronics to address key challenges in bioelectronic medicine. By enabling shape actuation, these technologies improve deployment, adaptability, and accuracy in minimally invasive procedures.
Chaoqun Dong, George G. Malliaras
wiley +1 more source
Machine‐Learning‐Aided Advanced Electrochemical Biosensors
Electrochemical biosensors are highly sensitive, portable, and versatile. Advanced nanomaterials enhance their performance, while machine learning (ML) improves data analysis, minimizes interference, and optimizes sensor design. Despite progress in both fields, their combined potential in diagnostics remains underexplored.
Andrei Bocan+9 more
wiley +1 more source