scholarly journals Radiochemical Assessment of Uranium in Locally Used Marbles

2020 ◽  
Vol 15 (1) ◽  
pp. 200-209
Author(s):  
Birendra Thapa ◽  
Kamal Krishna Shrestha ◽  
Khagendra Prasad Bohara
Keyword(s):  
Hydrochloric Acid ◽  
Chemical Analysis ◽  
Methyl Ketone ◽  
Uranium Concentration ◽  
Arsenazo Iii ◽  
Chromogenic Reagent ◽  
Physical Measurements ◽  
Efficient Extraction ◽  
Sensitive Method

 A sensitive method is used for the extraction and determination of soluble uranium in locally used marble has been developed. Isobutyl Methyl Ketone (IBMK) was used as extractant and 0.02 % (w/v) Arsenazo (III) as a chromogenic reagent. The present study assesses the gross radioactivity and extractable uranium in marble samples. A Multichannel Analyzer (MCA) coupled with NaI (Tl) crystal detector was used for the measurement of gross radioactivity whereas spectrophotometer was used to estimate the uranium contained in sample with the help of Arsenazo (III). The extraction involved the adjustment of pH at 0.9. The efficient extraction was achieved by the addition of at least 10 g of Al (NO3)3. This method involved the reduction of UO2 (+2) to U (IV) by using granulated Zinc in concentrated hydrochloric acid. The physical measurements showed the presence of gross radioactivity in the range 266.19 Bq/kg to 644.268 Bq/Kg while the chemical analysis showed the uranium concentration in the range of 0.02ppm to 0.06 ppm.

scholarly journals Speciation and spectrophotometric determination of uranium in seawater

2004 ◽  
Vol 5 (1) ◽  
pp. 55 ◽  
Author(s):  
M. KONSTANTINOU ◽  
I. PASHALIDIS
Keyword(s):  
Ion Exchange ◽  
Oxidation State ◽  
Spectrophotometric Determination ◽  
Uranium Concentration ◽  
Coastal Areas ◽  
Arsenazo Iii ◽  
Predominant Species ◽  
The Mean ◽  
Seawater Samples

A series of ion-exchange and extraction procedures for the separation of uranium from seawater samples and subsequent spectrophotometric determination of uranium in seawater by means of arsenazo(III) is described. According to the measurements performed by means of traced samples at every stage of separation, the yield of the pre-analytical procedures is generally over 90% and the separation of uranium very selective. The mean uranium concentration in seawater samples collected from five different coastal areas in Cyprus was found to be 3.2 ± 0.2 & micro; g L-1. Uranium in seawater is stable in its hexavalent oxidation state and UO2 (CO3)34- is the predominant species under normal coastal conditions (pH ≥ 8, EH ≥ 0.35 mV, 1 atm and 0.03% CO2).

scholarly journals Spectrophotometric Determination of Trace Amount of Nitrite in Water with p-Nitroaniline and 1-Naphthol

2015 ◽  
Vol 19 (2) ◽  
pp. 89-93 ◽  
Author(s):  
Deba Bahadur Khadka ◽  
Laxmi Pachhai
Keyword(s):  
Waste Water ◽  
Hydrochloric Acid ◽  
Spectrophotometric Determination ◽  
Water Samples ◽  
Trace Amount ◽  
Azo Dye ◽  
Molar Absorptivity ◽  
Analytical Wavelength ◽  
Sensitive Method

A simple, selective and sensitive method for the spectrophotometric determination of nitrite in different natural and waste water samples is applied. Nitrite reacts with p-nitroaniline in the presence of hydrochloric acid to form diazonium cation which is subsequently coupled with 1-naphthol to form a stable azo dye. The ?max for the azo dye is found to be 610 nm. At analytical wavelength 610 nm the Lambert-Beer’s law obeys over the concentration range 0.035-0.123 ?g/ml of nitrite. The correlation coefficient, molar absorptivity and Sandell’s sensitivity of the method were found to be 0.99, 5.24×104 lit.mol-1cm-1 and 8.77×10-4?g cm-2 respectively. The percentage recovery was found to range from 93-109% and the interference of foreign ions was also studied.Journal of Institute of Science and Technology, 2014, 19(2): 89-93

An Improved Quantitative Image Analyser

1977 ◽  
Vol 35 ◽  
pp. 226-227
Author(s):  
J.P. Fallon ◽  
P.J. Gregory ◽  
C.J. Taylor
Keyword(s):  
Feature Extraction ◽  
Quantitative Analysis ◽  
Frequency Content ◽  
General Sense ◽  
Physical Measurements ◽  
Quantitative Image ◽  
Image Analyser ◽  
Automatic Methods ◽  
Quantitative Results

Quantitative image analysis systems have been used for several years in research and quality control applications in various fields including metallurgy and medicine. The technique has been applied as an extension of subjective microscopy to problems requiring quantitative results and which are amenable to automatic methods of interpretation.Feature extraction. In the most general sense, a feature can be defined as a portion of the image which differs in some consistent way from the background. A feature may be characterized by the density difference between itself and the background, by an edge gradient, or by the spatial frequency content (texture) within its boundaries. The task of feature extraction includes recognition of features and encoding of the associated information for quantitative analysis.Quantitative Analysis. Quantitative analysis is the determination of one or more physical measurements of each feature. These measurements may be straightforward ones such as area, length, or perimeter, or more complex stereological measurements such as convex perimeter or Feret's diameter.

Scanning-probe microscope analysis of optical thin films: A new analytical tool in a manufacturing environment

1994 ◽  
Vol 52 ◽  
pp. 1068-1069
Author(s):  
S. P. Sapers ◽  
R. Clark ◽  
P. Somerville
Keyword(s):  
Thin Film ◽  
Thin Films ◽  
Thermal Control ◽  
Scanning Probe Microscope ◽  
Scanning Probe ◽  
List Type ◽  
Manufacturing Environment ◽  
Physical Measurements ◽  
Probe Microscope

OCLI is a leading manufacturer of thin films for optical and thermal control applications. The determination of thin film and substrate topography can be a powerful way to obtain information for deposition process design and control, and about the final thin film device properties. At OCLI we use a scanning probe microscope (SPM) in the analytical lab to obtain qualitative and quantitative data about thin film and substrate surfaces for applications in production and research and development. This manufacturing environment requires a rapid response, and a large degree of flexibility, which poses special challenges for this emerging technology. The types of information the SPM provides can be broken into three categories:(1)Imaging of surface topography for visualization purposes, especially for samples that are not SEM compatible due to size or material constraints;(2)Examination of sample surface features to make physical measurements such as surface roughness, lateral feature spacing, grain size, and surface area;(3)Determination of physical properties such as surface compliance, i.e. “hardness”, surface frictional forces, surface electrical properties.

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