Detection of Lead in Vegetables with New Chromogenic Reagent by Spectrophotometry

A new simple, rapid selective and highly sensitive chromogenic reagent dibromo-p-methyl-carboxyazo (DBMCA) was synthesized and studied in detail for the spectrophotometric detection of lead. In 0.25 M phosphoric acid medium, which greatly increases the selectivity, Lead reacts with DBMCA to form a 1:2 blue complex having a sensitivity absorption peak at 646 nm. Under optimal conditions, Beer's Law is obeyed over the range from 0.09 to 0.8 microg mL(-1) Pb (II) and the apparent molar absorptivity is 1.03 x 10(5) mL(-1) cm(-1). The detection limit and the variation coefficient were found to be 2.12 microg mL(-1) and 1.0% respectively. It is found that, except for Ca (II) and Ba (II) all foreign ions studied do not interfere with detection. The interference caused by Ca (II) and Ba (II) can be easily eliminated by prior extraction with potassiumiodide-methylisobutylketone. The proposed method has been applied successfully for to the detection of Lead in vegetable leaves with good results.     

Biosorption of chromium(VI), nickel(II) and copper(II) ions from aqueous solutions using Pithophora algae

The biosorption of heavy metals is considered to be one of the best alternatives for the treatment of wastewater. The metal binding capacity of algae and acid-treated algae is investigated to find out the removal characteristics of Cr(VI), Ni(II) and Cu(II) ions from single metal solutions. Batch experiments are conducted and the study is extended to investigate the effect of pH, amount of adsorbent and adsorbate concentration on the extent of biosorption. The results indicate that the adsorption capacity of algae depends strongly on pH. The maximum adsorption of Cr(VI), Ni(II) and Cu(II) occurs at pH values of 2, 7 and 4.3, respectively. The adsorption process follows first-order kinetic equation. The data obtained are correlated with Freundlich and Langmuir adsorption isotherms.     

Challenges and possible solutions in dental practice during and post COVID-19

Environmental Science and Pollution Research - The pandemic outbreak of coronavirus disease (COVID-19) created a significant impact on the oral healthcare profession, and dentists are reported to...     

Weather integrated malaria prediction system using Bayesian structural time series model for northeast states of India

Environmental Science and Pollution Research - Malaria is an endemic disease in India and targeted to eliminate by the year 2030. The present study is aimed at understanding the epidemiological...