Selective and sensitive 4-Aminophenol chemical sensor development based on low-dimensional Ge-doped ZnO nanocomposites by electrochemical method

2020 ◽  
Vol 157 ◽  
pp. 104945 ◽  
Author(s):  
Mohammed M. Rahman
RSC Advances ◽  
2018 ◽  
Vol 8 (23) ◽  
pp. 12562-12572 ◽  
Author(s):  
M. M. Alam ◽  
Abdullah M. Asiri ◽  
M. T. Uddin ◽  
M. A. Islam ◽  
Mohammed M. Rahman

This is a simple route to detect the selective xanthine with wet-chemically prepared co-doped ZnO/Al2O3/Cr2O3 nanomaterials by reliable electrochemical method at large scales for the safety of healthcare fields.


2018 ◽  
Vol 42 (5) ◽  
pp. 3936-3946 ◽  
Author(s):  
Tahir Ali Sheikh ◽  
Mohammed M. Rahman ◽  
Abdullah M. Asiri ◽  
Hadi M. Marwani

Low-dimensional Er2O3/CuO nanomaterials were synthesized by wet-chemical process and totally characterized with various conventional methods. The electrochemical approach could be a pioneer development in selective 3-CP sensor development using doped nano-structural materials by an electrochemical method for the various phenolic sensor applications for environmental safety in broad scales.


2013 ◽  
Vol 112 ◽  
pp. 422-430 ◽  
Author(s):  
Mohammed M. Rahman ◽  
Sher Bahadar Khan ◽  
Abdullah M. Asiri ◽  
Abdullah G. Al-Sehemi

Proceedings ◽  
2019 ◽  
Vol 14 (1) ◽  
pp. 39
Author(s):  
Zahira. El khalidi ◽  
Maryam Siadat ◽  
Elisabetta. Comini ◽  
Salah. Fadili ◽  
Philippe. Thevenin

Chemical gas sensors were studied long ago and nowadays, for the advantageous role they provide to the environment, health condition monitoring and protection. The recent studies focus on the semiconductors sensing abilities, especially of non toxic and low cost compounds. The present work describes the steps to elaborate and perform a chemical sensor using intrinsic and doped semiconductor zinc oxide. First, we synthesized pure oxide using zinc powder, then, two other samples were established where we introduced the same doping percentage of Al and Sn respectively. Using low cost spray pyrolysis, and respecting the same conditions of preparation. The obtained samples were then characterized by X Ray Diffraction (XRD) that revealed the hexagonal wurzite structure and higher crystallite density towards the direction (002), besides the appearance of the vibration modes related to zinc oxide, confirmed by Raman spectroscopy. SEM spectroscopy showed that the surface morphology is ideal for oxidizing/reduction reactions, due to the porous structure and the low grain sizes, especially observed for the sample Sn doped ZnO. The gas testing confirms these predictions showing that the highest response is related to Sn doped ZnO compared to ZnO and followed by Al doped ZnO. The films exhibited responses towards: CO, acetone, methanol, H2, ammonia and NO2. The concentrations were varied from 10 to 500 ppm and the working temperatures from 250 to 500°C, the optimal working temperatures were 350 and 400 °C. Sn doped ZnO showed a high response towards H2 gas target, with a sensitivity reaching 200 at 500 ppm, for 400 °C.


2016 ◽  
Vol 811 ◽  
pp. 74-80 ◽  
Author(s):  
Mohammed M. Rahman ◽  
Hadi M. Marwani ◽  
Abdelmohsen A. Alshehri ◽  
Hassan A. Albar ◽  
Juan Bisquert ◽  
...  

Author(s):  
Mohammed M. Rahman ◽  
M.M. Alam ◽  
Mohammad M. Hussain ◽  
Abdullah M. Asiri ◽  
Mohie E. Moustafa Zayed

2019 ◽  
Vol 73 (10) ◽  
pp. 1218-1227
Author(s):  
Samantha Matthews ◽  
Frank V. Bright

Porous silicon (pSi) exhibits strong photoluminescence (PL) and its PL is often exploited for chemical sensor development. However, the sensor response is not uniform across a pSi specimen. We use co-localized confocal PL and Raman scattering mapping to establish a relationship between the analyte-induced PL response and the silicon nanocrystallite size, size distribution, and amorphous silicon (aSi) contribution across a pSi specimen. Using toluene as a model analyte, high analyte-induced PL response is associated with areas within the specimen that have (i) low aSi content, (ii) silicon nanocrystallites having diameters between 2 and 5 nm, and (iii) silicon nanocrystallites that exhibit a narrow size distributions (≤1% relative standard deviation).


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