Rapid Determination of the Distribution of Cellulose Nanomaterial Aggregates in Composites Enabled by Multi-Channel Spectral Confocal Microscopy.
Marcus A JohnsAnna E LewandowskaStephen J EichhornPublished in: Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada (2019)
There is increased interest in the use of cellulose nanomaterials for the mechanical reinforcement of composites due to their high stiffness and strength. However, challenges remain in accurately determining their distribution within composite microstructures. We report the use of a range of techniques used to image aggregates of cellulose nanocrystals (CNCs) greater than 10 µm2 within a model thermoplastic polymer. While Raman imaging accurately determines CNC aggregate size, it requires extended periods of analysis and the limited observable area results in poor reproducibility. In contrast, staining the CNCs with a fluorophore enables rapid acquisition with high reproducibility, but overestimates the aggregate size as CNC content increases. Multi-channel spectral confocal laser scanning microscopy is presented as an alternative technique that combines the accuracy of Raman imaging with the speed and reproducibility of conventional confocal laser scanning microscopy, enabling the rapid determination of CNC aggregate distribution within composites.
Keyphrases
- high resolution
- optical coherence tomography
- aqueous solution
- high speed
- raman spectroscopy
- ionic liquid
- reduced graphene oxide
- loop mediated isothermal amplification
- label free
- mass spectrometry
- single molecule
- magnetic resonance
- solid phase extraction
- silver nanoparticles
- electron microscopy
- molecularly imprinted
- deep learning
- high throughput
- tandem mass spectrometry
- gold nanoparticles
- machine learning
- photodynamic therapy
- flow cytometry
- fluorescence imaging
- liquid chromatography