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Swetha, M.
- Direct and Derivative Spectrophotometric Determination of Chromium(VI) in Microgram Quantities Using 5-Bromo Salicylaldehyde Isonocotinoyl Hydrazone (5-BrSAINH)
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Authors
Affiliations
1 Department of Chemistry, Sri Krishnadevaraya University, Anantapur, 515003 (A.P), IN
1 Department of Chemistry, Sri Krishnadevaraya University, Anantapur, 515003 (A.P), IN
Source
Asian Journal of Research in Chemistry, Vol 6, No 7 (2013), Pagination: 667-670Abstract
A highly sensitive and selective spectrophotometric method was developed for the determination of trace amount of chromium (VI) in aqueous DMF medium. The chromate ion forms a light brown colored complex with 5-Bromo salicylaldehyde isonocotinoyl hydrazone (5-BrSAINH) in an acidic buffer of pH 6.0. The complex has an absorbance maximum at 430nm, was stable for more than 72 hours. Beer's law is obeyed in the range 0.16 - 3.90 μgml-1. The molar absorptivity and sandell's sensitivity of the colored solution were found to be 2.0 x 104 L.mol-1cm-1 and 2.6 X 10-3 μgcm-2, respectively. The light brown colored complex has 1:1 (Chromium (VI) - 5BrSAINH) Stoichiometry. The stability constant of the complex was determined as 1.40 X 106 by Job's method. The effect of foreign ions on the determination was studied. A sensitive and selective first and second order derivative spectrophotometry has also been proposed for the determination of Cr (VI). The interference of various cations and anions were studied. The developed methods were successfully employed in the determination of Cr (VI) in soil and standard steel samples.Keywords
Spectrophotometry, 5-BrSAINH, Determination of Chromium (VI), Soil Samples, Standard Steel SamplesReferences
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- Sreevani I Raveendra Reddy P, Krishna Reddy V , A Rapid and Simple Spectrophotometric Determination of traces of Chromium (VI) in Waste Water Samples and in Soil samples by using 2- Hydroxy, 3-Methoxy Benzaldehyde Thiosemicarbazone (HMBATSC), IOSR Journal of Applied Physics 3(1) (Jan. - Feb. 2013), PP40:45.
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- Jamaluddin Ahmed M and. Reazul Haque M, A Rapid Spectrophotometric Method for the Determination of chromium in Environmental Samples using Bis (salicylaldehyde) orthophenylenediamine, Research Journal of Chemical Sciences, 1 (1) April (2011).
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- Map-Reduce Based High Performance Clustering on Large Scale Dataset Using Parallel Data Processing
Abstract Views :157 |
PDF Views:2
Authors
Affiliations
1 Computer Science and Engineering, JCT College of Engineering and Technology, Anna University, Chennai, Tamilnadu, IN
1 Computer Science and Engineering, JCT College of Engineering and Technology, Anna University, Chennai, Tamilnadu, IN
Source
Data Mining and Knowledge Engineering, Vol 6, No 5 (2014), Pagination: 181-185Abstract
The amount of data in our world has been exploding, and analyzing large data sets-so-called big data-will become a key basis of competition, reinforcement new waves of productivity growth, innovation, and consumer surplus. Big data refers to the size of a dataset that has grown too large to be manipulated through traditional methods. These methods include capture, storage, and processing of the data in a tolerable amount of time. Apache Hadoop is an open-source software framework for storage and large scale processing of data-sets on clusters of hardware. It works with Map Reduce software framework for easily writing applications which process vast amounts of data (multi-terabyte data-sets) in-parallel on large clusters (thousands of nodes) of commodity hardware in a reliable, fault-tolerant manner. Clustering analysis is an unsupervised learning task that consist on classify objects into group. Then, the objects from one group share similar feature and are different from objects belonging to other groups. This paper shows that Map Reduce framework K-means clustering algorithm can obtain a higher performance when handling large scale document automatic classification in a multimode environment.Keywords
Bigdata, Hadoop, Map-Reduce, Clustering, HDFS.- IOT based Environment Condition Monitoring System
Abstract Views :142 |
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Authors
Affiliations
1 School of Information Technology and Engineering, VIT University, Vellore – 632014, Tamil Nadu, IN
2 Department of Electricals and Computers, KTH Technical University, Swedan
1 School of Information Technology and Engineering, VIT University, Vellore – 632014, Tamil Nadu, IN
2 Department of Electricals and Computers, KTH Technical University, Swedan