scholarly journals Labeling and Probing the Silica Surface Using Mechanochemistry and 17O NMR Spectroscopy

Author(s):  
Chia-Hsin Chen ◽  
Frederic Mentink-Vigier ◽  
Julien Trébosc ◽  
Ieva Goldberga ◽  
Philippe Gaveau ◽  
...  

In recent years, there has been increasing interest in developing cost-efficient, fast, and user-friendly <sup>17</sup>O enrichment protocols to help understand the structure and reactivity of materials using <sup>17</sup>O NMR. Here, we show for the first time how ball milling (BM) can be used to selectively and efficiently enrich the surface of fumed silica, which is widely used at the industrial scale. Short milling times (up to 15 min) allowed modulation of the enrichment level (up to ca. 5%) without significantly changing the nature of the material. High-precision <sup>17</sup>O-compositions were measured at different milling times using LG-SIMS. High-resolution <sup>17</sup>O NMR analyses (including at 35.2 T) allowed clear identification of the signals from siloxane (Si-O-Si) and silanols (Si-OH), while DNP analyses, performed using direct <sup>17</sup>O polarization and indirect <sup>17</sup>O{<sup>1</sup>H} CP excitation, agreed with selective<sup> </sup>labeling of the surface. Information on the distribution of Si-OH environments at the surface was obtained from 2D <sup>1</sup>H-<sup>17</sup>O D-HMQC correlations. Finally, the surface-labeled silica was reacted with titania and using <sup>17</sup>O DNP, their common interface was probed and Si-O-Ti bonds identified.

2021 ◽  
Author(s):  
Chia-Hsin Chen ◽  
Frederic Mentink-Vigier ◽  
Julien Trébosc ◽  
Ieva Goldberga ◽  
Philippe Gaveau ◽  
...  

In recent years, there has been increasing interest in developing cost-efficient, fast, and user-friendly <sup>17</sup>O enrichment protocols to help understand the structure and reactivity of materials using <sup>17</sup>O NMR. Here, we show for the first time how ball milling (BM) can be used to selectively and efficiently enrich the surface of fumed silica, which is widely used at the industrial scale. Short milling times (up to 15 min) allowed modulation of the enrichment level (up to ca. 5%) without significantly changing the nature of the material. High-precision <sup>17</sup>O-compositions were measured at different milling times using LG-SIMS. High-resolution <sup>17</sup>O NMR analyses (including at 35.2 T) allowed clear identification of the signals from siloxane (Si-O-Si) and silanols (Si-OH), while DNP analyses, performed using direct <sup>17</sup>O polarization and indirect <sup>17</sup>O{<sup>1</sup>H} CP excitation, agreed with selective<sup> </sup>labeling of the surface. Information on the distribution of Si-OH environments at the surface was obtained from 2D <sup>1</sup>H-<sup>17</sup>O D-HMQC correlations. Finally, the surface-labeled silica was reacted with titania and using <sup>17</sup>O DNP, their common interface was probed and Si-O-Ti bonds identified.


Author(s):  
Chia-Hsin Chen ◽  
Frederic Mentink-Vigier ◽  
Julien Trébosc ◽  
Ieva Goldberga ◽  
Philippe Gaveau ◽  
...  

2003 ◽  
Vol 772 ◽  
Author(s):  
T. Seeger ◽  
G. de la Fuente ◽  
W.K. Maser ◽  
A.M. Benito ◽  
A. Righi ◽  
...  

AbstractCarbon nanotubes (CNT) are interesting candidates for the reinforcement in robust composites and for conducting fillers in polymers due to their fascinating electronic and mechanical properties. For the first time, we report the incorporation of multi walled carbon nanotubes (MWNTs) into silica-glass surfaces by means of partial surface-melting caused by a continuous wave Nd:YAG laser. MWNTs were detected being well incorporated in the silica-surface. The composites are characterized using scanning electron microscopy (SEM) and Raman-spectroscopy. A model for the composite-formation is proposed based on heatabsorption by MWNTs and a partial melting of the silica-surface.


2021 ◽  
Vol 14 (2) ◽  
pp. 205979912110307
Author(s):  
Dennis Mathysen ◽  
Ignace Glorieux

Virtual reality (VR) is still very much a niche technology despite its increasing popularity since recent years. VR has now reached a point where it can offer photorealistic experiences, while also being consumer-friendly and affordable. However, so far only a very limited amount of software has been developed for the specific purpose of conducting (social science) research. In this article, we illustrate that integrating virtual reality to good effect in social science research does not necessarily require specialized hardware or software, an abundance of expertise regarding VR-technology or even a large budget. We do this by discussing our use of a method we have come to call ‘VR-assisted interviews’: conducting a (semi-structured) interview while respondents are confronted with a virtual environment viewed via a VR-headset. This method allows respondents to focus on what they are seeing and experiencing, instead of having them worry about how to operate a device and navigate an interface they are using for the first time. ‘VR-assisted interviews’ are very user-friendly for respondents but also limits options for interactiveness. We believe this method can be a valuable alternative, both because of methodological and practical considerations, for more complex applications of VR-technology in social science research.


2021 ◽  
Vol 12 (14) ◽  
pp. 5016-5036
Author(s):  
Sharon E. Ashbrook ◽  
Zachary H. Davis ◽  
Russell E. Morris ◽  
Cameron M. Rice

Cost-effective and atom-efficient isotopic enrichment enables 17O NMR spectroscopy of microporous materials to be used to probe local structure and disorder and to explore chemical reactivity.


1979 ◽  
Vol 178 (1) ◽  
pp. 171-175 ◽  
Author(s):  
S. Aime ◽  
L. Milone ◽  
D. Osella ◽  
G.E. Hawkes ◽  
E.W. Randall

2018 ◽  
Vol 7 (3.6) ◽  
pp. 281
Author(s):  
J Srirampavan

Embedded systems in Agriculture play a vital role in unifying the work involved and improve conservations. Designing a smart as well as a cost efficient and more user-friendly system will be idealistic challenge. The following system that has been proposed is designed with those ideal constraints in mind. It consists of a Raspberry pi3 as a gateway that links the sensor networks with the cloud. To improve security an MQTT protocol is used for cloud connectivity. The communication between the sensor networks is managed by NRF24L01. The Sensor network is a separate entity that can used like a plug and play device and is built by a micro controller with a LCD display and an interfaced GPS. Multicasting is also possible between sensor networks and the gateway. The processed data from the sensor networks is sent through NRF24L01 to the gateway. The gateway further processes and encapsulates the data and through MQTT the data gets stored on the cloud. This cloud data can be accessed through computer or mobile device  


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