In situ visualization of Li concentration in all-solid-state lithium ion batteries using time-of-flight secondary ion mass spectrometry

2018 ◽  
Vol 400 ◽  
pp. 527-532 ◽  
Author(s):  
Hideki Masuda ◽  
Nobuyuki Ishida ◽  
Yoichiro Ogata ◽  
Daigo Ito ◽  
Daisuke Fujita
2020 ◽  
Author(s):  
Feifei Jia ◽  
Jie Wang ◽  
Yanyan Zhang ◽  
Qun Luo ◽  
Luyu Qi ◽  
...  

<p></p><p><i>In situ</i> visualization of proteins of interest at single cell level is attractive in cell biology, molecular biology and biomedicine, which usually involves photon, electron or X-ray based imaging methods. Herein, we report an optics-free strategy that images a specific protein in single cells by time of flight-secondary ion mass spectrometry (ToF-SIMS) following genetic incorporation of fluorine-containing unnatural amino acids as a chemical tag into the protein via genetic code expansion technique. The method was developed and validated by imaging GFP in E. coli and human HeLa cancer cells, and then utilized to visualize the distribution of chemotaxis protein CheA in E. coli cells and the interaction between high mobility group box 1 protein and cisplatin damaged DNA in HeLa cells. The present work highlights the power of ToF-SIMS imaging combined with genetically encoded chemical tags for <i>in situ </i>visualization of proteins of interest as well as the interactions between proteins and drugs or drug damaged DNA in single cells.</p><p></p>


2020 ◽  
Author(s):  
Feifei Jia ◽  
Yu Lin ◽  
Jie Wang ◽  
Yanyan Zhang ◽  
Qun Luo ◽  
...  

<p><i>In situ</i> visualization of proteins of interest at single cell level is attractive in cell biology, molecular biology and biomedicine, which usually involves <a></a><a>photon, electron or X-ray</a> based imaging methods. Herein, we report an optics-free strategy that images a specific protein in single cells by time of flight-secondary ion mass spectrometry (ToF-SIMS) following genetic incorporation of fluorine-containing unnatural amino acids as a <a>chemical</a> tag into the protein <i>via</i> genetic code expansion technique. The method was developed and validated by imaging GFP in <i>E. coli</i> and human HeLa cancer cells, and then utilized to visualize the distribution of chemotaxis protein CheA in <i>E. Coli</i> cells and the interaction between high mobility group box 1 protein and cisplatin damaged DNA in HeLa cells. The present work highlights the power of ToF-SIMS imaging combined with genetically encoded chemical tags for <i>in situ</i> visualization of proteins of interest as well as the interactions between proteins and drugs or drug damaged DNA in single cells.<br></p>


2002 ◽  
Vol 74 (16) ◽  
pp. 4011-4019 ◽  
Author(s):  
Thomas P. Roddy ◽  
Donald M. Cannon ◽  
Chad A. Meserole ◽  
Nicholas Winograd ◽  
Andrew G. Ewing

Author(s):  
Cheng-Kai ChiuHuang ◽  
Chuanzhen Zhou ◽  
Hsiao-Ying Shadow Huang

To develop lithium-ion batteries with a high rate-capability and low cost, the prevention of capacity loss is one of major challenges, which needs to be tackled in the lithium-ion battery industry. During electrochemical processes, lithium ions diffuse from and insert into battery electrodes accompanied with the phase transformation, whereas ionic diffusivity and concentration are keys to the resultant battery capacity. In the current study, we compare voltage versus capacity of lithium-ion batteries at different current-rates (C-rates) discharging. Larger hysteresis and voltage fluctuations are observed in higher C-rate samples. We investigate origins of voltage fluctuations by quantifying lithium-ion intensity and distribution via a time-of-flight secondary ion mass spectrometry (ToF-SIMS). The result shows that for fully discharged samples, lithium-ion intensity and distribution are not C-rate dependent, suggesting different lithium-ion insertion mechanisms at a higher C-rate discharging might be solely responsible for the observed low frequency voltage fluctuation.


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