The solid-state microstructure of a conjugated polymer is the most important parameter determining its properties and performance in (opto)-electronic devices. A huge amount of research has been dedicated to tuning and understanding how the sequence of monomers, the nature and frequency of defects, the exact backbone conformation, and the assembly and crystallinity of conjugated polymers affect their basic photophysics and charge transporting properties. However, because of the lack of reliable high-resolution analytical techniques, all the structure-property relations proposed in the literature are based either on molecular modeling or on indirect experimental data averaged on polydisperse samples. We show that a combination of electrospray vacuum deposition and high-resolution scanning tunneling microscopy allows the imaging of individual conjugated polymers with unprecedented detail, thereby unraveling structural and self-assembly characteristics that have so far been impossible to determine.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6003723 | PMC |
http://dx.doi.org/10.1126/sciadv.aas9543 | DOI Listing |
Mikrochim Acta
January 2025
Shanxi Key Laboratory of Micro Nano Sensors & Artificial Intelligence Perception, College of Integrated Circuits, Taiyuan University of Technology, Taiyuan, 030024, China.
African swine fever (ASF) is an acute hemorrhagic disease in pigs caused by the African swine fever virus (ASFV), which has a high mortality rate and brought great damage to global pig farming industry. At present, there is no effective treatment or vaccine to combat ASFV infection, so early detection of ASFV has become particularly important. Therefore, the PDMS/chitosan/MPMs composite film was proposed to detect ASFV P72.
View Article and Find Full Text PDFACS Appl Mater Interfaces
January 2025
Anhui Provincial Key Laboratory of Biomedical Materials and Chemical Measurement, Laboratory of Functionalized Molecular Solids, Ministry of Education, College of Chemistry and Materials Science, Anhui Normal University, Wuhu 241002, P. R. China.
HClO is considered a potential contributing factor and biomarker of inflammatory bowel disease (IBD). Accurate monitoring of lysosomal HClO is important for further developing specific diagnostic and therapeutic schedules for IBD. However, only rare types of fluorescent probes have been reported for detecting HClO in IBD so far.
View Article and Find Full Text PDFAdv Mater
January 2025
Príncipe Felipe Research Center, Polymer Therapeutics Lab., Valencia, 46012, Spain.
Mitochondria play critical roles in regulating cell fate, with dysfunction correlating with the development of multiple diseases, emphasizing the need for engineered nanomedicines that cross biological barriers. Said nanomedicines often target fluctuating mitochondrial properties and/or present inefficient/insufficient cytosolic delivery (resulting in poor overall activity), while many require complex synthetic procedures involving targeting residues (hindering clinical translation). The synthesis/characterization of polypeptide-based cell penetrating diblock copolymers of poly-L-ornithine (PLO) and polyproline (PLP) (PLO-PLP, n:m ratio 1:3) are described as mitochondria-targeting nanocarriers.
View Article and Find Full Text PDFInt J Mol Sci
December 2024
Materials Research Institute, Universidad Nacional Autónoma de México, Mexico City 04510, Mexico.
Since its conceptualization, click chemistry in all its variants has proven to be a superior synthesis protocol, compared to conventional methods, for forming new covalent bonds under mild conditions, orthogonally, and with high yields. If a term like reactive resilience could be established, click reactions would be good examples, as they perform better under increasingly challenging conditions. Particularly, highly hindered couplings that perform poorly with conventional chemistry protocols-such as those used to conjugate biomacromolecules (e.
View Article and Find Full Text PDFPolymers (Basel)
January 2025
Department of Statistics and Operations Research, Barcelona School of Industrial Engineering (ETSEIB), Universitat Politècnica de Catalunya, Av. Diagonal, 647, 08028 Barcelona, Spain.
Artificial neural network (ANN) models have been used in the past to model surface roughness in manufacturing processes. Specifically, different parameters influence surface roughness in fused filament fabrication (FFF) processes. In addition, the characteristics of the networks have a direct impact on the performance of the models.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!