Results 231 to 240 of about 93,640 (301)

Aliphatic Poly(Carbonate)s with Acid Responsive Release Mechanisms for Micellar Anti‐Tumor Drug Delivery

open access: yesMacromolecular Rapid Communications, EarlyView.
Micellar systems based on biodegradable aliphatic polycarbonates and acid‐responsive triggers enhance drug solubility, stability, and tumor‐selective release. This review covers micelles with acid‐cleavable drug linkages and those that disassemble via acid‐sensitive functionalities.
Adrian V. Hauck, Lutz Nuhn
wiley   +1 more source

Biogas production and microbial profile estimation in bioreactor landfills. [PDF]

open access: yesFront Chem
Zeng Y   +8 more
europepmc   +1 more source

Metathesis‐Sourced Epoxides in Ring‐Opening Copolymerization: Selective Access to Degradable Polythioesters

open access: yesMacromolecular Rapid Communications, EarlyView.
Metathesis‐derived cyclopentene epoxides enable strictly alternating, scrambling‐free ring‐opening copolymerization with phthalic thioanhydride, yielding well‐defined polythioesters with molecular weights up to ∼38 kg/mol. Their performance extends to oxygen‐based anhydrides and selective terpolymerizations. Direct comparisons with all‐oxygen analogues
Niracha Tangyen   +3 more
wiley   +1 more source

Modified Polycaprolactone Films for Temporary Protection in Saline Conditions: A Preliminary Assessment. [PDF]

open access: yesPolymers (Basel)
John AP   +7 more
europepmc   +1 more source

Mass Spectrometry Structural Proteomics Enabled by Limited Proteolysis and Cross‐Linking

open access: yesMass Spectrometry Reviews, EarlyView.
ABSTRACT The exploration of protein structure and function stands at the forefront of life science and represents an ever‐expanding focus in the development of proteomics. As mass spectrometry (MS) offers readout of protein conformational changes at both the protein and peptide levels, MS‐based structural proteomics is making significant strides in the
Haiyan Lu   +4 more
wiley   +1 more source

Machine Learning Assisted Prediction of Degradation Behavior of Poly(Lactic‐Co‐Glycolic Acid)

open access: yesMaterials Genome Engineering Advances, EarlyView.
Using a gradient boosting‐based machine learning model trained on 484 data points, this study predicts the degradation behavior of poly(lactic‐co‐glycolic acid) (PLGA) implants. Degradation time, molecular weight, and lactide/glycolide ratio were identified as key governing factors, enabling accurate prediction while reducing reliance on extensive ...
Shuai Wang   +11 more
wiley   +1 more source

A new class of customisable stable boronic ester assemblies. [PDF]

open access: yesChem Sci
Coomber D   +7 more
europepmc   +1 more source

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