Thermodynamics of Adsorption of Alcohol Dehydrogenase on Gold Nanoparticle Surface: A Model Based Analysis Versus Direct Measurement

Author(s):  
Akriti Mishra ◽  
Kamini Mishra ◽  
Dipayan Bose ◽  
Abhijit Chakrabarti ◽  
Puspendu Kumar Das

Characterization of nanoparticle protein corona has gained tremendous importance lately. The parameters which quantitatively establish a specific nanoparticle-protein interaction need to be measured accurately since good quality data is necessary...

1997 ◽  
Vol 30 (5) ◽  
pp. 717-721 ◽  
Author(s):  
D. R. S. Bittencourt ◽  
P. Charier ◽  
R. Jérôme ◽  
C. E. Williams

The morphology of sodium-neutralized carboxytelechelic ionomers has been characterized by SAXS (small-angle X-ray scattering) for varying degrees of neutralization between 20 and 100%. The good-quality data covering a broad q range have been fitted with a functional form of the intensity. It has been found that the aggregates grow as more chain ends are neutralized while the electron density is kept constant, in agreement with the multiplet model. The excess scattering at small angles was found to vary systematically with the degree of neutralization, confirming the ionic origin of this feature.


2013 ◽  
Vol 54 (64) ◽  
pp. 149-156 ◽  
Author(s):  
Joseph Pomeroy ◽  
Alex Brisbourne ◽  
Jeffrey Evans ◽  
David Graham

AbstractA passive seismology experiment was conducted across the main overdeepening of Storglaciären in the Tarfala valley, northern Sweden, to investigate the spatial and temporal distribution of basal microseismic waveforms in relation to known dynamics of this small polythermal sub-arctic glacier. The high ablation rate made it difficult to keep geophones buried and well coupled to the glacier during the experiment and reduced the number of days of good-quality data collection. The characterization of typical and atypical waveforms showed that the dominant waveforms were from near-surface events such as crevassing. Waveforms resembling basal microseismic signals were very rare, and seldom observed on more than two seismic stations simultaneously. The analysis of waveforms, amplitudes and particle motions suggested a near-field origin for most events. Even though basal sliding is known to occur in the overdeepening, no convincing examples of basal waveforms were detected, suggesting basal microseismic signals are rare or difficult to detect beneath polythermal glaciers like Storglaciären. We discuss the reasons for failing to locate basal signals, consider the origin of common waveforms and make recommendations for setting up passive seismology experiments on glaciers with high ablation rates.


Nanoscale ◽  
2021 ◽  
Author(s):  
Xiaofeng Wang ◽  
Rong Lei ◽  
Limei Li ◽  
Xinyu Fei ◽  
Rui Ju ◽  
...  

With development of the nanomedicine field and increasing hazards of exposure to nanobiological materials, research on protein corona is urgently required. In particular, the understanding of the mechanism of structural...


Nanoscale ◽  
2019 ◽  
Vol 11 (8) ◽  
pp. 3665-3673 ◽  
Author(s):  
Hanane Moustaoui ◽  
Justine Saber ◽  
Ines Djeddi ◽  
Qiqian Liu ◽  
Dania Movia ◽  
...  

Gold nanoparticle interaction with proteins is characterized by using scattering correlation spectroscopy. Protein orientation and binding affinity regarding the nanoparticle surface are discussed.


IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 49912-49919
Author(s):  
Sandun Jayarathna ◽  
Md Foiez Ahmed ◽  
Liam O'ryan ◽  
Hem Moktan ◽  
Yonggang Cui ◽  
...  

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Xiao Fan Liu ◽  
Xiao-Ke Xu ◽  
Ye Wu

AbstractThe 2019 coronavirus disease (COVID-19) is pseudonymously linked to more than 100 million cases in the world as of January 2021. High-quality data are needed but lacking in the understanding of and fighting against COVID-19. We provide a complete and updating hand-coded line-list dataset containing detailed information of the cases in China and outside the epicenter in Hubei province. The data are extracted from public disclosures by local health authorities, starting from January 19. This dataset contains a very rich set of features for the characterization of COVID-19’s epidemiological properties, including individual cases’ demographic information, travel history, potential virus exposure scenario, contacts with known infections, and timelines of symptom onset, quarantine, infection confirmation, and hospitalization. These cases can be considered the baseline COVID-19 transmissibility under extreme mitigation measures, and therefore, a reference for comparative scientific investigation and public policymaking.


Sign in / Sign up

Export Citation Format

Share Document