scholarly journals A New Potentiometric Sensors for Determination of Sodium Alkylsulfates

2014 ◽  
Vol 87 ◽  
pp. 284-287 ◽  
Author(s):  
N.M. Makarova ◽  
E.G. Kulapina
2021 ◽  
Author(s):  
Chan Wang ◽  
Longbin Qi ◽  
Rongning Liang

Polymeric membrane potentiometric sensors based on molecularly imprinted polymer (MIP) have been successfully designed for detection of organic compounds both in ionic and neutral forms. However, most of these sensors...


2012 ◽  
Vol 33 (4) ◽  
pp. 1247-1252 ◽  
Author(s):  
Mohammad-Khah Ali ◽  
Reza Ansari ◽  
Ali Fallah Delavar ◽  
Zahra Mosayebzadeh

2021 ◽  
Vol 87 (5) ◽  
pp. 5-13
Author(s):  
E. G. Kulapina ◽  
A. E. Dubasova ◽  
O. I. Kulapina ◽  
V. D. Ankina

Arrays of potentiometric sensors including developed solid-contact unmodified and modified sensors based on tetradecylammonium associates with complex compounds of silver (1) and some β-lactam antibiotics (cefazoline, cefuroxime, cefotaxime (n = 3 – 6)) are proposed; polyaniline and copper oxide being modifiers. The main electroanalytic properties of the sensors are determined (the range of the determined concentrations in antibiotic solutions 1 × 10–4 – 0.1 M, 46.3 < S < 48, Cmin = n × 10–5 М, response time 4 – 10 sec, potential drift 4 – 6 mV/day, service life — 2 months). It is shown that modification of the membrane surfaces brings the steepness of the electrode functions to Nernst-values for single-charged ions of the antibiotics under study; reduces the response time and the detection limits, the linearity intervals of the electrode functions being the same. The potentiometric selectivity coefficients of unmodified and modified sensors based on different electrode active components (EAC) to the studied cephalosporins in the presence of interfering antibiotics are close to unity; cross sensitivity parameters for the considered sensors (the average slope of the electrode function of the sensor Sav, the unselectivity factor F, and the reproducibility factor K) are 46.3 < S (mV/pC) < 48; 0.85 < F < 0.90; 144 < K < 170, respectively. Application of sensors in the multisensory analysis of model mixtures of cephalosporin antibiotics is shown. Method of artificial neural networks (ANN) is used for processing of analytical signals. The correctness of the determination is carried out using «spike tests» on the reference model mixtures (the relative error of the determination does not exceed 12 %).


Author(s):  
L. CAMPANELLA ◽  
G. FAVERO ◽  
S. MARINO ◽  
R. PILLOTON ◽  
M. TOMASSETTI

2016 ◽  
Vol 27 (6) ◽  
pp. 857-863 ◽  
Author(s):  
Fatehy M. Abdel-Haleem ◽  
Mohamed Saad ◽  
Mohamed S. Rizk

The Analyst ◽  
1981 ◽  
Vol 106 (1266) ◽  
pp. 974 ◽  
Author(s):  
Dilys L. Jones ◽  
G. J. Moody ◽  
J. D. R. Thomas ◽  
B. J. Birch

2015 ◽  
Vol 32 (8) ◽  
pp. 1613-1617 ◽  
Author(s):  
Eyüp Bektaşoğlu ◽  
Ebru Birlik Özkütük ◽  
Arzu Ersöz ◽  
Rıdvan Say

2015 ◽  
Vol 49 ◽  
pp. 861-868 ◽  
Author(s):  
F. Mizani ◽  
S. Salmanzadeh Ardabili ◽  
M.R. Ganjaliab ◽  
F. Faridbod ◽  
M. Payehghadr ◽  
...  

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