Electrochemical kinetics of anodic layer formation and reduction on antimony and antimonial lead

1994 ◽  
Vol 374 (1-2) ◽  
pp. 199-206 ◽  
Author(s):  
M. Metikoš-Huković ◽  
R. Babić ◽  
S. Omanović
1972 ◽  
Vol 17 (3) ◽  
pp. 415-420 ◽  
Author(s):  
K. Moslavac ◽  
B. Lovrecček ◽  
R. Radeka

1990 ◽  
Vol 87 ◽  
pp. 1597-1607 ◽  
Author(s):  
L Benedetti ◽  
M Borsari ◽  
C Fontanesi ◽  
G Battistuzzi Gavioli

2007 ◽  
Vol 111 (37) ◽  
pp. 13957-13966 ◽  
Author(s):  
Emma I. Rogers ◽  
Debbie S. Silvester ◽  
Sarah E. Ward Jones ◽  
Leigh Aldous ◽  
Christopher Hardacre ◽  
...  

2022 ◽  
Vol 429 ◽  
pp. 132395
Author(s):  
Seongjoon So ◽  
Jaewook Ko ◽  
Yong Nam Ahn ◽  
Il Tae Kim ◽  
Jaehyun Hur

1993 ◽  
Vol 27 (3) ◽  
pp. 331-339 ◽  
Author(s):  
S.D. Varfolomeyev ◽  
A.I. Yaropolov ◽  
A.A. Karyakin

2020 ◽  
Vol 992 ◽  
pp. 615-620
Author(s):  
Valeriy I. Ivanov ◽  
L.A. Konevtsov ◽  
V.F. Aulov

Electric spark of alloying – ESA – from the standpoint of materialogy, a new stage in the development of the materials science, is a method of surface hardening that refers to technologies meeting the new development vector of the materials science, including its most important sections – surface materialogy. As an anode material, an unconventional material for the electric-spark coating method (ESA) - rhenium is of practical interest for creating protective and hardening coatings. The results of studies of the formation modes by the method of ESA are given on the surface of steel grade 35 of the alloyed layer and its properties using the anodic material from rhenium is shown. The kinetics of the doped layer formation depending on the ESD regimes, their justification is shown. It is established that with an increase of the frequency of discharge pulses in the range of 1600>fcps>20 Hz, a trend to increase the thickness of the AL hav.AL is observed, and with an increase in energy 1.8>E>0.11 J, on the contrary, there is a trend of its decrease; the latter is associated with a decrease of the pulses frequency with the increase of energy. The obtained series of the efficiency of the ESA process make it possible to predict the achievement of the required parameters of the doped layer using Re as the anode material.


1986 ◽  
Vol 15 (10) ◽  
pp. 1687-1690 ◽  
Author(s):  
Tetsuya Osaka ◽  
Katsuhiko Naoi ◽  
Satoshi Ogano ◽  
Sadako Nakamura

2021 ◽  
Author(s):  
Gaurang Khot ◽  
Frank Platte ◽  
Neil Shirtcliffe ◽  
Tansu Celikel

AbstractCarbon nanotubes (CNTs) are suited for neurochemistry because of their biological inertness, ability to withstand biofouling, and superior electron transport kinetics. Dopamine, the canonical monoaminergic neuromodulator, contributes to reward, cognition and attention, however, its detection in real-time is challenging due to its low basal concentration in the brain (100nM L-1). In our present work, we fabricate pyrolytic carbon electrodes and perform a CNT coating to improve the electrochemical kinetics of dopamine. Upon CNTs coating, dopamine shows a sensitivity of 9±18nA/μM for a cylindrical electrode having a mean surface diameter of 8±4μm. Increasing the scan frequency from 10-100 Hz shows that dopamine electron transfer kinetics improves; wherein dopamine is oxidized at 0.35±0.09V and reduced to -0.10±0.05V for 10 Hz. Increasing the frequency results in a shift of oxidation peak towards the anodic region, wherein dopamine oxidizes at 0.08±3V and reduces at -0.1±0.05V for 100 Hz, thus showing that dopamine redox is reversible which can be attributed to the superior electron transport kinetics of CNTs. The sensor was able to distinguish dopamine signals against other neurochemicals like serotonin and foulant 3,4-Dihydroxyphenylacetic acid (DOPAC). The minimum chemical detection that can be performed using these nanopipettes is 50±18nM L-1, which is well below the physiological concentrations of dopamine in the brain.Graphical AbstractA: Pictorial view of background-subtracted voltammetry. The waveform used was -0.4V to 1.3 V and cycled back to -0.4V at 10 Hz. B: The voltammogram was converted as a 2-D representation, into current, voltage, and repetition to understand the dopamine oxidation. C: Background subtracted voltammetry for dopamine using 100 Hz waveform. D: The 2-D representation of current, voltage, and repetition.


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