Spatially Resolved Characterization of Cellulose Nanocrystal–Polypropylene Composite by Confocal Raman Microscopy

2012 ◽  
Vol 66 (7) ◽  
pp. 750-756 ◽  
Author(s):  
Umesh P. Agarwal ◽  
Ronald Sabo ◽  
Richard S. Reiner ◽  
Craig M. Clemons ◽  
Alan W. Rudie
Keyword(s):  
Raman Microscopy ◽  
Cellulose Nanocrystal ◽  
Confocal Raman Microscopy ◽  
Polypropylene Composite ◽  
Spatially Resolved ◽  
Confocal Raman

Characterization of Ionomer Membranes with Confocal Raman Microscopy

2020 ◽  
Vol MA2020-01 (38) ◽  
pp. 1644-1644
Author(s):  
Thomas Böhm ◽  
Riko Moroni ◽  
Muhammad Solihul Mu'min ◽  
Matthias Breitwieser ◽  
Severin Vierrath ◽  
...  
Keyword(s):  
Raman Microscopy ◽  
Confocal Raman Microscopy ◽  
Ionomer Membranes ◽  
Confocal Raman

scholarly journals Characterization of nanofibers for tissue engineering: Chemical mapping by Confocal Raman microscopy

2020 ◽  
Vol 227 ◽  
pp. 117670 ◽  
Author(s):  
Anna Sharikova ◽  
Zahraa I. Foraida ◽  
Lauren Sfakis ◽  
Lubna Peerzada ◽  
Melinda Larsen ◽  
...  
Keyword(s):  
Tissue Engineering ◽  
Raman Microscopy ◽  
Confocal Raman Microscopy ◽  
Chemical Mapping ◽  
Confocal Raman

scholarly journals Local Study of Lithiation and Degradation Paths in LiMn2O4 Battery Cathodes: Confocal Raman Microscopy Approach

Batteries ◽  
2018 ◽  
Vol 4 (2) ◽  
pp. 21 ◽  
Author(s):  
Boris Slautin ◽  
Denis Alikin ◽  
Daniele Rosato ◽  
Dmitry Pelegov ◽  
Vladimir Shur ◽  
...  
Keyword(s):  
Low Cost ◽  
Rechargeable Batteries ◽  
Raman Microscopy ◽  
Capacity Fade ◽  
Confocal Raman Microscopy ◽  
Ecological Stability ◽  
Lithium Ions ◽  
Local Study ◽  
Spatially Resolved ◽  
Confocal Raman

Lithium manganese-based cathodes are widely used in rechargeable batteries due to their low cost, safety, and ecological stability. On the other hand, fast capacity fade occurs in LiMn2O4 mainly because of the induced manganese dissolution and formation of additional phases. Confocal Raman microscopy provides many opportunities for sensitive and spatially resolved structural studies of micro- and nanoscale phenomena. Here, we demonstrate advantages of confocal Raman spectroscopy approach for uncovering the mechanisms of lithiation/delithiation and degradation in LiMn2O4 commercial cathodes. The analysis of Raman spectra for inspecting local lithiation state and phase composition is proposed and exploited for the visualization of the inhomogeneous distribution of lithium ions. The cycling of cathodes is shown to be followed by the formation and dissolution of the Mn3O4 phase and local disturbance of the lithiation state. These processes are believed to be responsible for the capacity fade in the commercial batteries.

Non-invasive characterization of electrochemically active microbial biofilms using confocal Raman microscopy

2012 ◽  
Vol 5 (5) ◽  
pp. 7017 ◽  
Author(s):  
Bernardino Virdis ◽  
Falk Harnisch ◽  
Damien J. Batstone ◽  
Korneel Rabaey ◽  
Bogdan C. Donose
Keyword(s):  
Raman Microscopy ◽  
Confocal Raman Microscopy ◽  
Non Invasive ◽  
Microbial Biofilms ◽  
Electrochemically Active ◽  
Confocal Raman

scholarly journals Algorithm-improved high-speed and non-invasive confocal Raman imaging of 2D materials

2019 ◽  
Vol 7 (3) ◽  
pp. 620-628 ◽  
Author(s):  
Sachin Nair ◽  
Jun Gao ◽  
Qirong Yao ◽  
Michael H G Duits ◽  
Cees Otto ◽  
...  
Keyword(s):  
High Speed ◽  
2D Materials ◽  
Cost Effective ◽  
Raman Microscopy ◽  
Confocal Raman Microscopy ◽  
Non Invasive ◽  
Spatially Resolved ◽  
Art Works ◽  
Confocal Raman ◽  
Sample Damage

Abstract Confocal Raman microscopy is important for characterizing 2D materials, but its low throughput significantly hinders its applications. For metastable materials such as graphene oxide (GO), the low throughput is aggravated by the requirement of extremely low laser dose to avoid sample damage. Here we introduce algorithm-improved confocal Raman microscopy (ai-CRM), which increases the Raman scanning rate by one to two orders of magnitude with respect to state-of-the-art works for a variety of 2D materials. Meanwhile, GO can be imaged at a laser dose that is two to three orders of magnitude lower than previously reported, such that laser-induced variations of the material properties can be avoided. ai-CRM also enables fast and spatially resolved quantitative analysis, and is readily extended to 3D mapping of composite materials. Since ai-CRM is based on general mathematical principles, it is cost-effective, facile to implement and universally applicable to other hyperspectral imaging methods.

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