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      Advanced Sensing Performance towards Simultaneous Determination of Binary Mixture of Antihypertensives Using PANI–Cerium Oxide Nanoparticles as Modifier in Carbon Paste Incorporating Graphite and Silicon-Oil

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      Journal of The Electrochemical Society
      The Electrochemical Society

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          Abstract

          Present paper reports multianalyte electroanalysis of hypertensive having amlodipine and nebivolol molecules in a single dose. Amlodipine and Nebivolol exhibited oxidation peaks at 0.70 and 0.90 V respectively on the Graphite/Polyaniline-Cerium Oxide/Carbon paste electrode. The linearity range was 0.1 to 1.6 μg ml −1in Britton Robinson buffer (pH 8.0). The limit of detection was 20.0 ng ml −1for Amlodipine and 30.0 ng ml −1for Nebivolol and the limit of quantification was 80.0 ng ml −1for Amlodipine and 100 ng ml −1for Nebivolol respectively. These analytes were also determined in pharmaceutical formulation and human serum and good recovery was obtained for the developed method.

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          Catalytic Properties of Ceria and CeO2-Containing Materials

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            General expression of the linear potential sweep voltammogram in the case of diffusionless electrochemical systems

            E. Laviron (1979)
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              Contamination of surface, ground, and drinking water from pharmaceutical production.

              Low levels of pharmaceuticals are detected in surface, ground, and drinking water worldwide. Usage and incorrect disposal have been considered the major environmental sources of these microcontaminants. Recent publications, however, suggest that wastewater from drug production can potentially be a source of much higher concentrations in certain locations. The present study investigated the environmental fate of active pharmaceutical ingredients in a major production area for the global bulk drug market. Water samples were taken from a common effluent treatment plant near Hyderabad, India, which receives process water from approximately 90 bulk drug manufacturers. Surface water was analyzed from the recipient stream and from two lakes that are not contaminated by the treatment plant. Water samples were also taken from wells in six nearby villages. The samples were analyzed for the presence of 12 pharmaceuticals with liquid chromatography-mass spectrometry. All wells were determined to be contaminated with drugs. Ciprofloxacin, enoxacin, cetirizine, terbinafine, and citalopram were detected at more than 1 microg/L in several wells. Very high concentrations of ciprofloxacin (14 mg/L) and cetirizine (2.1 mg/L) were found in the effluent of the treatment plant, together with high concentrations of seven additional pharmaceuticals. Very high concentrations of ciprofloxacin (up to 6.5 mg/L), cetirizine (up to 1.2 mg/L), norfloxacin (up to 0.52 mg/L), and enoxacin (up to 0.16 mg/L) were also detected in the two lakes, which clearly shows that the investigated area has additional environmental sources of insufficiently treated industrial waste. Thus, insufficient wastewater management in one of the world's largest centers for bulk drug production leads to unprecedented drug contamination of surface, ground, and drinking water. This raises serious concerns regarding the development of antibiotic resistance, and it creates a major challenge for producers and regulatory agencies to improve the situation.
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                Author and article information

                Contributors
                Journal
                Journal of The Electrochemical Society
                J. Electrochem. Soc.
                The Electrochemical Society
                0013-4651
                1945-7111
                June 21 2022
                June 01 2022
                June 21 2022
                June 01 2022
                : 169
                : 6
                : 066511
                Article
                10.1149/1945-7111/ac76e2
                7c8fffc2-8cf9-4f00-ada4-313cd511ecf4
                © 2022

                https://iopscience.iop.org/page/copyright

                https://iopscience.iop.org/info/page/text-and-data-mining

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