Refine your search
Collections
Co-Authors
Journals
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Prakash, A.
- Study of Thermo Physical Properties and an Improvement in Production of Distillate Yield in Pyramid Solar still with Boosting Mirror
Abstract Views :372 |
PDF Views:124
Authors
Affiliations
1 Solar Energy Laboratory, Dept. of Physics, Sri Ramakrishna Mission Vidyalaya, College of Arts and Science, Coimbatore-641020, TN, IN
2 Dept. of Science and Humanities, RVS College of Engineering and Technology, Coimbatore, TN, IN
3 Dept. of Physics, M.E.S College of Engineering, Kerala-679573, IN
4 Dept. of Physics, Coimbatore Institute of Engineering and Information Technology, Coimbatore – 641109, TN, IN
5 Centre for Appropriate Management, Chandragupt Institute of Management, Chajubagh, Patna- 800 001, Bihar, IN
1 Solar Energy Laboratory, Dept. of Physics, Sri Ramakrishna Mission Vidyalaya, College of Arts and Science, Coimbatore-641020, TN, IN
2 Dept. of Science and Humanities, RVS College of Engineering and Technology, Coimbatore, TN, IN
3 Dept. of Physics, M.E.S College of Engineering, Kerala-679573, IN
4 Dept. of Physics, Coimbatore Institute of Engineering and Information Technology, Coimbatore – 641109, TN, IN
5 Centre for Appropriate Management, Chandragupt Institute of Management, Chajubagh, Patna- 800 001, Bihar, IN
Source
Indian Journal of Science and Technology, Vol 3, No 8 (2010), Pagination: 879-884Abstract
We report the experimental analysis of a pyramid solar still with boosting mirror system for increasing the distillate yield rate under clear climatic conditions in Coimbatore (11° N latitude), India. The radiation received by the still is boosted up by reflecting the solar radiation. A tracking system keeps track of incident radiation into the still. The area of the still is 0.25 m2. Water and ambient temperature are measured along with solar radiation and humidity at regular intervals of time. The inner and outer faces of the glass cover temperatures are also recorded. The average solar radiation received is 760.43 W/m2. The daily average efficiency of the still was found to be 15%. A 2.9 l/m2/d distillate yield is obtained with the help of the boosting mirror; whereas, 1.52 l/m2/day are collected without the boosting mirror. In this work an attempt has been made to study the effect of heat transfer within a pyramid solar still. The thermo physical properties of the still are analyzed for this study. Thermal conductivity dynamic viscosities of water are also studied for this system. The thermal conductivity is in the range of 26.77 x 10-2 Wm-2 C-1 to 29.64 Wm-2 C-1. Dynamic viscosity ranges from 18.6 x 10-6 Nsm-2 to 20.2 x 10-6 Nsm-2.Keywords
Solar Energy, Booster Mirror, Desalination, Potable WaterReferences
- Ahmed ST (1988) Study of single-effect solar still with an internal condenser. Solar Wind Technol. 5(6), 637-643.
- Akash BA, Mohsen MS, Osta O and Elayan Y (1998) Experimental evaluation of a single-basin solar still using different absorbing materials. Ren. Energy. 14, 307-310.
- Ali H (1991) Experimental study on air motion effect inside the solar still on still performance. Energy Conversion Management. 32, 67-70.
- Dutt D, Kumar A, Anand J and Tiwari G (1989) Performance of a double-basin solar still in presence of dye. Appl. Energy. 32, 207-223.
- Hamdan MA, Musa AM and Jubran BA (1999) Performance of solar still under Jordanian climate. Energy Conversion Management. 40, 495-503.
- Howe ED (1986) Measurements and control in solar distillation plants. Desalination. 40, 307-320.
- Lessing HA (1991) Small modular, high-efficiency solar still. Int. J. Solar Energy. 9, 35-46.
- lsaad MA (1987) A sub-atmospheric solar distillation unit. Int. J. Solar Energy. 5, 129-141.
- Sharma V and Mullick S (1993) Calculation of hourly output of a solar still. ASME J. Solar Energy Engg. 115, 231-236.
- Tamimi A (1987) Performance of a solar still with reflectors and black dye. Int. J. Solar Energy. 5, 229-235.
- Tiwari G and Lawrence S (1991) Experimental evaluation of solar distiller units with FRP lining under PNG climate conditions. Int. J. Solar Energy. 9, 241-248.
- Tiwari G, Gupta S and Kumar A (1988) Analytical model of inverted multi wick solar still. Int. J. Solar Energy. 6,139-150.
- Tiwari G, Minocha A, Sharma P and Khan M (1999) Simulation of convective mass transfer in solar distillation process. Energy Conversion Management. 38, 761-770.
- Tiwari G, Mukherjee K, Ashok K and Yadav Y (1985) Comparison of various designs of solar stills. Desalination. 60,191-202.
- Yeh H, Ten L and Chen L (1985) Basin-type solar distillers with reduced pressure for improved performance, Energy. 10,683-688.
- Yeh H, Tsai S and Ma N (1988) Energy balances in double-effect wick-type solar distiller. Energy. 13(2), 115-120.
- An Optimized Multiple Semi-Hidden Markov Model for Credit Card Fraud Detection
Abstract Views :272 |
PDF Views:0
Authors
Affiliations
1 Manonmaniam Sundaranar University, Tirunelveli, Tamil Nadu, IN
2 Department of Computer Science, Periyar University, Salem, Tamil Nadu, IN
1 Manonmaniam Sundaranar University, Tirunelveli, Tamil Nadu, IN
2 Department of Computer Science, Periyar University, Salem, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 8, No 2 (2015), Pagination: 165-171Abstract
The credit card payment system is a widespread usable system which provides the easiest way of payment to the customers, but some of them misuse another individual's credit card for personal reasons. So, in order to provide credit card fraud detection, Multiple Semi-Hidden Markov Model is suggested to gather multiple observations and the detection phase is executed. It is significant to compute the good model parameters because it impacts the detection performance in the Multiple Semi-Hidden Markov Model. So, in this manuscript an innovative technique is introduced which is called Optimized Multiple Semi-Hidden Markov Model (OMSHMM) which is used for optimizing the model parameters. The Multiple Semi-Hidden Markov Model is used for detecting fraudulent users and for optimizing training values Cuckoo Search algorithm is proposed. The main intent of this research is automating the use of Multiple Semi-Hidden Markov Model, by liberating customers from the necessity of statistical knowledge. The number of states and also its model parameters are decided by the Cuckoo Search algorithm. An experimental result shows that when compared to the existing research there is high accuracy in the proposed research.Keywords
Credit Card Fraud Detection, Cuckoo Search Optimization, Multiple Semi-Hidden Markov Model.- Chip Size Characterization for Selecting Optimum Production Parameters of Surface Miner Operating in a Coal Mine
Abstract Views :250 |
PDF Views:115
Authors
Affiliations
1 Central Institute of Mining and Fuel Research, Dhanbad 826 015, IN
2 Department of Mining Engineering, Indian School of Mines, Dhanbad 826 004, IN
1 Central Institute of Mining and Fuel Research, Dhanbad 826 015, IN
2 Department of Mining Engineering, Indian School of Mines, Dhanbad 826 004, IN
Source
Current Science, Vol 108, No 3 (2015), Pagination: 422-426Abstract
Coal production using surface miner technology is a well-accepted method today in Indian coal mines contributing a sizeable proportion to the overall production. Production of coal chips of desired size is an important parameter in surface miner performance evaluation in terms of tonnes per hour as well as fulfilment of the need of the consumers. The demand for an average chip size in the range 100-150 mm thermal power plants is growing and this size also fetches a premium price compared to blasted lumpy coal. A field study was conducted at Sonepur Bazari opencast mine, Eastern coalfields (ECL), West Bengal, India for evaluating the cutting operation and performance of a 2200 SM surface miner under varied operational and rock mass conditions. An imaging technique coupled with Fragalyst software was used for grabbing and analysing the sizes of chips produced by surface miner. The wide variation in chip size formation observed in the field was due to the fluctuations in cutting speed and also the presence of joints. This communications reports the study carried out on surface miner to develop a new methodology for characterizing chip size, fixing the optimum machine operating parameters for a desired chip size and also the production potential.Keywords
Surface Miner Technology, Chip Size, Coal Production, Rock Mass.- Hierarchy of Parameters Influencing Cutting Performance of Surface Miner through Artificial Intelligence and Statistical Methods
Abstract Views :204 |
PDF Views:83
Authors
Affiliations
1 CSIR-Central Institute of Mining and Fuel Research, Dhanbad 826 015, IN
2 Department of Mining Engineering, Indian School of Mines, Dhanbad 826 004, IN
1 CSIR-Central Institute of Mining and Fuel Research, Dhanbad 826 015, IN
2 Department of Mining Engineering, Indian School of Mines, Dhanbad 826 004, IN
Source
Current Science, Vol 112, No 06 (2017), Pagination: 1242-1249Abstract
Applicability of a surface miner (SM) must be based on a careful assessment of intact rock and rock mass properties. A detailed literature review was made to identify different parameters influencing the performance of various types of cutting machines deployed in different parts of the world. The critical parameters influencing the production, diesel consumption and pick consumption of SM in Indian coal and limestone mines, were identified through artificial neural network (ANN) technique and screened by correlation coefficient analysis. Parameters that were common in both ANN and correlation analysis were grouped under critical category and others in semi-critical category.Keywords
Artificial Neural Network, Intact Rock, Rock Mass, Surface Miner.References
- Tiryaki, B. and Dikmen, A. C., Effects of rock properties on specific cutting energy in linear cutting of sandstones by picks. Rock Mech. Rock Eng., 2006, 39(2), 89–120.
- Kahraman, S., Bilgin, N. and Feridunoglu, C., Dominant rock properties affecting the penetration rate of percussive drills. Int. J. Rock Mech. Min. Sci., 2003, 40, 711–723.
- Kirsten, H. A. D., A classification system for excavation in natural material. Civil Eng. S. Afr., 1982, 293–307.
- Fowell, R. J., Johnson, S. T. and Speight, H. E., Assessing the performance of cutting tools in rock materials. In International Symposium on Geotechnical Stability in Surface Mining, Calgary, November 1986, p. 161.
- Prikryl, R., Some microstructural aspects of strength variation in rocks. Int. J. Rock Mech. Min. Sci., 2001, 38, 671–682.
- Evans, I., Basic mechanics of the point attack pick. Colliery Guardian, May 1984, pp. 189–193.
- www.wirtgen.com (accessed on 16 February 2013).
- Evans, I., The force required for point attack picks. Int. J. Min. Eng., 1965, 2, 63–71.
- Thuro, K., Drillability prediction – geological influences in hard rock drill and blast tunnelling. Geol. Rund., 1997, 86, 426–438.
- Murthy, V. M. S. R., Munshi, B. and Kumar, B., Predicting roadheader performance from intact rock and rock mass properties – a case study. In Proceedings of National Seminar on Rock–Machine Interaction in Excavations, Banaras Hindu University, Varanasi, 7–8 March 2008, pp. 81–93.
- Hadjigeorgiu, J. and Scolbe, M. J., Ground characterization for assessment of ease of excavation. In Proceedings of International Seminar on Mine Planning and Equipment Selection (eds Singhal, R. K. and Vavra, M.), Balkema, 1990, pp. 323–331.
- Dey, K. and Ghose, A. K, Predicting ‘cuttability’ with surface miners – a rockmass classification approach. J. Mines Met. Fuels, 2008, 56(5), 85–92.
- Atkinson, T., Selection of open pit excavating and loading equipment. Trans. Inst. Min. Metall. Section A, 1971, 101–129.
- Zivor, R., Vilhelm, J., Rudajev, V. and Lokaicek, T., Measurement of P and S-wave velocities in a rock massif and its use in estimating elastic moduli. Acta Geod. Geom., 2011, 2(162), 157–167.
- Origliasso, C., Cardu, M. and Kecojevic, V., Surface miners: evaluation of the production rate and cutting performance based on rock properties and specific energy. Rock Mech. Rock Eng., 2014, 47, 757–770.
- Thuro, K. and Plinninger, R. J., Wear prediction in hard rock excavation using the CERCHAR Abrasive Index. In Rock Engineering – Theory and Practice (ed. Schubert, W.), 2004, pp. 599–604.
- Murthy, V. M. S. R., Kumar, D., Jain, P. and Dash, A. K., Development of a cuttability index of surface miner for performance prediction in different geomining conditions. In International Symposium on Rock Mechanics and Geo-Environment in Mining and Allied Industries, Banaras Hindu University, Varanasi, 12–14 February 2009, pp. 156–171.
- Roxborough, F. F., The role of some basic rock properties in assessing cuttability. In Proceedings of the Seminar on Tunnels, Wholly Engineered Structures, I. E. Aust./AFCC, Sydney, Australia, April 1987, p. 122.
- Howarth, D. F. and Rowlands, J. C., Development of an index to quantify rock texture for qualitative assessment of intact rock properties. Geo. Test J., 1986, 9, 169–179.
- Evans, I. and Pomeroy, C. D., The Strength, Fracture and Workability of Coal, Oxford Pergamon Press, Library of Congress Catalog Card No. 66-14657, 1966.
- Roxborough, F. F. and Phillips, H. R., Applied rock and coal cutting mechanics. Australian Foundation Workshop Course 156/81, 1981.
- Bilgin, N., Seyrek, T. and Shahria, K., Golden horn clean up contributes valuable data. Tunn. Tunn., 1988, 41–44.
- Shimada, H. and Matsui, K., Prediction of drivage/drilling rate by using rock impact hardness number. In Proceedings of New Horizon in Resource Handling and Geo-Engineering (MMIJ/AusIMM Joint Symposium), Ube, Japan, October 1994, pp. 485–492.
- Goktan, R. M. and Guneş, N., A comparative study of Schmidt hammer testing procedure with reference to rock cutting. Int. J. Rock Mech. Min. Sci., 2005, 42, 466–472.
- Adebayo, B., Evaluation of cuttability of selected rocks in SouthWestern Nigeria. Aust. J. Tech., 2008, 12(2), 126–129.
- Fowell, R. J. and Johnson, S. T., Rock classification and assessment for rapid excavation. In Strata Mechanics – Developments in Geotechnical Engineering (ed. Farmer, I. W.), Elsevier Scientific Publishing Company: Amsterdam, 1982, vol. 32, pp. 241–244.
- Bilgin, N., Yazici, S. and Eskikaya, S., A model to predict the performance of roadheaders and impact hammers in tunnel drivages. In Proceedings of the Eurock 1996 on Prediction and Performance in Rock Mechanics and Rock Engineering (ed. Barla, G.), Balkema, Rotterdam, 1996, vol. 2, pp. 715–720.
- Adebayo, B., Effect of textural characteristics of rock on bit wear. Aust. J. Tech., 2011, 14(4), 299–307.
- Mammen, J., Saydam, S. and Hagan, P., A study on the effect of moisture content on rock cutting performance. In Coal Operators’ Conference (ed. Aziz, N.), University of Wollongong and The Aus Inst Min Metall, Illawarra Branch, Australia, 12–13 February 2009, pp. 340–347.
- Kramadibrata, S. and Shimada, H., The influence of rock mass and intact rock properties on the design of surface mines with particular reference to the excavation of rock, Part-I, II and III. School of Civil Engineering, Curtin University of Technology, 1996.
- Copur, H., Ozdemir, L. and Rostami, J., Roadheader application in mining and tunnelling industries. Min. Eng., 1998, 38–42.
- Thuro, K. and Plinninger, R. J., Roadheader excavation performance – geological and geotechnical influences. In Ninth ISRM Congress Paris, Theme 3: Rock dynamics and tectonophysics/Rock cutting and drilling, 25–28 August 1999.
- Kelles, S., Cutting performance assessment of a medium weight roadheader at Cayirhan coal mine. Master of Science Thesis, Department of Mining Engineering, The Graduate School of Natural and Applied Science, Middle East Technical University, 2005, p. 58.
- Meena, P., Kumar, M., Jain, P. and Murthy, V. M. S. R., Performance analysis of surface miner in Indian coal mines – a case study. In Conference on Emerging Trends in Mining and Allied Industries, NIT, Rourkela, 2–3 February 2008, pp. 57–65.
- Lislerud, A., Principles of mechanical excavation. Posiva 97–12, commissioned by Posiva Oy, Mikonkatu 15 A, FIN 00100 Helsinki, Finland, 1997, p. 244.
- Barendsen, P., Tunneling with machine working on the undercutting principle. In Proceedings of South African Tunneling Conference (ed. Goodman, J. A.), The Technology and Potential of Tunnelling, 1970, pp. 53–58.
- Franklin, J. A., Broch, E. and Walton, G., Logging the mechanical character of rock. Trans. Inst. Min. Metall. Section A, 1971, 1–9.
- Singh, R. N., Denby, B., Egretli, I. and Pathon, A. G., Assessment of ground rippability in opencast mining operations. Mining Departmental Magazine, University of Nottingham, 1986, 38, 21– 34.
- Farmer, I. W., Energy based rock characterization. In Proceedings of International Symposium on Application of Rock Characterization Techniques in Mine Design (ed. Karamis, M.), AIME, Littleton, USA, 1986, pp. 17–23.
- Gehring, K. H., A cutting comparisons. Tunn. Tunn., 1989, 27–30.
- Jones, I. O. and Kramadibrata, S., An excavating power model for continuous surface miner. Aust. Inst. Min. Metall., 1995, 17.
- Dey, K. and Ghose, A. K., Selecting a surface miner – an algorithm. Mining Industry Annual Review for 2009. J. Mines, Met. Fuels, 2009, 57(9), 282–286.
- Estimation of Cefixime and Erdosteine in its Pharmaceutical Dosage Form by Spectrophotometric Method
Abstract Views :164 |
PDF Views:0
Authors
Affiliations
1 Dr. D. Y. Patil Institute of Pharmaceutical Sciences and Research, Pimpri, Pune, IN
1 Dr. D. Y. Patil Institute of Pharmaceutical Sciences and Research, Pimpri, Pune, IN
Source
Asian Journal of Research in Chemistry, Vol 2, No 4 (2009), Pagination: 404-406Abstract
Two accurate and precise methods were developed for the estimation of Cefixime and Erdosteine in its pharmaceutical dosage form. First method is area under the curve method; the areas under the curve in the range of 294.5-284.5 nm (for CEF) and 240.0-230.0 nm (for ERD) were selected for the analysis. Second method is first order derivative spectroscopy by solving simultaneous equation, 309.0 nm (for CEF) and 227.5 nm (for ERD) were selected for the analysis. In both the methods linearity for detector response was observed in the concentration range of 10-50 μg/ml for both Cefixime and Erdosteine. The proposed methods were successfully applied for the simultaneous determination of both drugs in its pharmaceutical preparation. The results of the analysis have been validated statistically and by recovery studies.Keywords
Cefixime, Erdosteine, Area Under the Curve Method, Derivative Spectroscopy.- Simultaneous Spectrophotometric Estimation of Tamsulosin in Pharmaceutical Dosage Form
Abstract Views :166 |
PDF Views:0
Authors
Affiliations
1 Dr. D. Y. Patil Institute of Pharmaceutical Sciences and Research, Pimpri, Pune, Maharashtra, IN
1 Dr. D. Y. Patil Institute of Pharmaceutical Sciences and Research, Pimpri, Pune, Maharashtra, IN
Source
Asian Journal of Research in Chemistry, Vol 2, No 1 (2009), Pagination: 63-65Abstract
Three simple, precise and economical UV methods have been developed for the estimation of Tamsulosin in pharmaceutical dosage form. Tamsulosin has the absorbance maxima at 281.0 nm (Method A), and in the first order derivative spectra, showed sharp peak at 234.5 nm (Method B). Method C applied was area under curve (AUC), in the wavelength range of 286.0-276.0 nm. Linearity for detector response was observed in the concentration range of 5-25 μg/ml for all three methods. The proposed methods were successfully applied for the simultaneous determination of Tamsulosin in commercial pharmaceutical preparation. The results of the capsule analysis were validated statistically and by recovery studies. It was found to be satisfactory.Keywords
Tamsulosin, Absorbance Maxima, Derivative Spectroscopy, Area Under Curve.- Simultaneous Spectrophotometric Estimation of Ofloxacin and Satranidazole in Tablet Dosage Form
Abstract Views :171 |
PDF Views:0
Authors
Affiliations
1 Dr. D. Y. Patil Institute of Pharmaceutical Sciences and Research, Sant Tukaram Nagar, Pimpri, Pune-18, IN
1 Dr. D. Y. Patil Institute of Pharmaceutical Sciences and Research, Sant Tukaram Nagar, Pimpri, Pune-18, IN
Source
Asian Journal of Research in Chemistry, Vol 1, No 1 (2008), Pagination: 9-11Abstract
Two accurate, precise, rapid and economical methods were developed for the estimation of Ofloxacin and Satranidazole in tablet dosage form. First method is first order derivative spectroscopy, wavelengths selected for quantitation were 259.0 nm for Ofloxacin (zero cross for Satranidazole) and 227.0 nm for Satranidazole (zero cross for Ofloxacin). Second method is area under curve method; area under curve in the range of 292.5-282.5 nm (for Ofloxacin) and 325.0-315.0 nm (for Satranidazole) were selected for the analysis. In both the methods linearity for detector response was observed in the concentration range of 5-40 μg/ml for Ofloxacin and Satranidazole, both. The proposed methods were successfully applied for the simultaneous determination of both drugs in commercial tablet preparation. The results of the analysis have been validated statistically and by recovery studies.Keywords
Ofloxacin, Satranidazole, Derivative Spectroscopy, Area Under Curve Method.- Mathematical Framework for Satellite Image Segmentation
Abstract Views :166 |
PDF Views:3
Authors
B. Ramesh
1,
A. Prakash
2
Affiliations
1 Department of MCA & SS, VLB Janakiammal College of Arts and Science, Coimbatore, IN
2 Department of MBA, VLB Janakiammal College of Arts and Science, Coimbatore, IN
1 Department of MCA & SS, VLB Janakiammal College of Arts and Science, Coimbatore, IN
2 Department of MBA, VLB Janakiammal College of Arts and Science, Coimbatore, IN
Source
Digital Image Processing, Vol 10, No 3 (2018), Pagination: 45-47Abstract
For analysis of image, dividing or grouping of objects in an image is important. The concept of grouping or dividing an object is said to be image segmentation. Image segmentation is used for image detection and classification processes. This article explains the image segmentation on satellite images using mathematical framework. Nowadays the satellite plays a major role in development of one nation through research. Images taken by satellites are used for many applications like weather forecast, study of geographical structures of regions and many more. The Mathematical framework based image segmentations are explained based on the satellite images.
Keywords
Segmentation:Edge-Based, Thresholding, Satellite Images.- Disruptive Innovation in Advertising & Branding-Customer Retention for Sustaining Growth
Abstract Views :228 |
PDF Views:0
Authors
Affiliations
1 NAAC Coordinator, International Institute of Business Studies, Bangalore, Karnataka, IN
2 Human Resource Management Area, Alliance University, Bangalore, Karnataka, IN
3 Snapbizz CloudTech Pte. Ltd., Singapore and India Head Quarters, Bangalore, Karnataka, IN
1 NAAC Coordinator, International Institute of Business Studies, Bangalore, Karnataka, IN
2 Human Resource Management Area, Alliance University, Bangalore, Karnataka, IN
3 Snapbizz CloudTech Pte. Ltd., Singapore and India Head Quarters, Bangalore, Karnataka, IN
Source
International Journal of Applied Marketing and Management, Vol 3, No 2 (2018), Pagination: 18-25Abstract
Corporate Business & Industry are revisiting their own business processes and technology approaches as competitors and partners start to employ ‘digitalised’ business processes and exploit the increasing convergence between operational technology and information technology in the Corporate World. Technology solution providers are using concepts such as Internet of Things (IoT) to reach customers’ visibility and effectively at Point of Purchase (PoP) to sustain growth. Companies are creating and implementing the IoT solutions as alternative solutions to traditional technology solutions. Emerging business models allow Corporates to rethink or even outsource. Visibility by Advertising & Branding, Customer Retention by Intelligent connected systems along with network communications, software, and analytics now enable companies to improve and Turnaround Time (TAT) to optimise operating performance.Keywords
Customer Relationship Management (CRM), Customer Retention by Visibility, Disruptive Innovation, Supply Chain Management (SCM), Digital Visual Merchandising, Stock Keeping Units (SKUs), Point of Purchase (PoP), Point of Sale (PoS), Turnaround Time (TAT), and Internet of Things (IoT).References
- Boulton, R. (2019). Creating and managing a CRM platform for your organisation. Routledge Group.
- Peele, E. (2005). Customer relationship management. Pearson Education, New Delhi.
- Greenberg, P. (2007). CRM at the speed of light (3rd ed.). Tata McGraw Hills Publication.
- Sheth, J. N., Parvatiyar, A., & Shainesh G. (Eds.). Customer relationship management - Emerging concepts, tools and applications. McGraw Hill Education.
- Kumar, A., Sinha, C., & Sharma, R. (2007). Customer relationship management concepts and application. Biztantra.
- Peel, J., & Gancarz, M. (2002). CRM: Redefining customer relationship management. Digital Press.
- Parvatiyar, A. & Sheth, J. N. (2000). The domain and conceptual foundations of relationship marketing. In J. N. Sheth & A. Parvatiyar (Eds.), Handbook of Relationship Marketing, Thousand Oaks, CA: Sage Publications.
- Prahalad, C. K., & Ramaswamy, V. (2004). Future of competition: Co-creating unique value with customers. Boston: HBS Press.
- Prahalad, C. K. (2005). The fortune at the bottom of the pyramid: Eradicating poverty through profits. New Jersey: Wharton School Publishing.
- Prahalad, C. K., & Krishnan, M. S. (2008). The new age of innovation: Driving co-created value through global networks. Delhi: Tata McGraw Hill.
- Shainesh, G., & Sheth, J. N. (2006). Customer relationship management - A strategic perspective. Trinity Press, Laxmi Publications.
- Schiffman, L. G., & Kanuk, L. L. (2004). Consumer behaviour (8th ed.). Upper Saddle River (NJ): Pearson Prentice Hall.
- Zeithaml, V. A., Parasuraman, A., & Berry, L. L. (1990). Delivering quality service: Balancing customer perceptions and expectations. Free Press, New York, NY.
- Development and Validation of Simple HPLC Method for Estimation of Flubendiamide in Blood
Abstract Views :244 |
PDF Views:0
Authors
Affiliations
1 Department of Veterinary Pharmacology and Toxicology, College of Veterinary and Animal Science, Sardar Vallabhbhai Patel University of Agriculture and Technology, Meerut – 250110, Uttar Pradesh, IN
2 Department of Veterinary Pharmacology and Toxicology, College of Veterinary Science and Animal Husbandry, U. P. Pt. Deen Dayal Upadhyay Pashu Chikitsa Vigyan Vishwavidyalaya, Evam Go Anusandhan Sansthan (DUVASU), Mathura – 281001, Uttar Pradesh, IN
3 Central Institute for Research on Goat (CIRG), Makhdoom, Farah, Mathura – 281122, Uttar Pradesh, IN
1 Department of Veterinary Pharmacology and Toxicology, College of Veterinary and Animal Science, Sardar Vallabhbhai Patel University of Agriculture and Technology, Meerut – 250110, Uttar Pradesh, IN
2 Department of Veterinary Pharmacology and Toxicology, College of Veterinary Science and Animal Husbandry, U. P. Pt. Deen Dayal Upadhyay Pashu Chikitsa Vigyan Vishwavidyalaya, Evam Go Anusandhan Sansthan (DUVASU), Mathura – 281001, Uttar Pradesh, IN
3 Central Institute for Research on Goat (CIRG), Makhdoom, Farah, Mathura – 281122, Uttar Pradesh, IN
Source
Toxicology International (Formerly Indian Journal of Toxicology), Vol 27, No 1&2 (2020), Pagination: 23-27Abstract
Flubendiamide, novel insecticide used for control of lepidopteron insects on agriculture crops in India. Flubendiamide exposure of to human and animals occurs through ingestion of contaminated feed/fodder, food-products and drinking water etc. Aim of the present study was to develop a simple HPLC method for flubendiamide estimation in blood plasma. Result indicated that HPLC estimation of flubendiamide in blood plasma shows linear standard curve in the range of 0.039-5.0 μg.ml-1 with correlation coefficient (R2) 0.999. Limit of Detection (LOD) and Limit of Quantification (LOQ) was 0.039 μgml-1. Intra-day, inter-day coefficient of variance and mean recovery were found to be 2.70%, 3.50% and approx. 100% respectively, by using C18 column and mixture of acetonitrile: water (70:30, v/v) as mobile phase with flow rate of 0.5 mlmin-1 at 210 λ. Result of this study concluded that this HPLC method is very simple, reliable and repeatable for flubendiamide estimation blood plasma.Keywords
Flubendiamide, Plasma, HPLCReferences
- Government of India, Ministry of Agriculture, Department of Agriculture & Cooperation. Directorate of Plant Protection, Quarantine & Storage, Central Insecticide Board & Registration Committee, N.H. IV, Faridabad-121 001, Registered under the Insecticides Act, 1968 [Internet].
- [cited 2015 Jan 1]. Available from: http://www.cibrc.nic.in/mupi.pdf
- EPA (Environmental Protection Agency) [Internet]. 2010. [cited 2014 Oct 28]. Available from: http://www.gpo.gov/ fdsys/pkg/FR-2010-11-05/html/2010-27998.html
- Joint Meeting on Pesticide Residues (JMPR). Report of the joint meeting of the FAO panel of experts on pesticide residues in food and the environment and the WHO core assessment group on pesticide residues at the request of codex committee on pesticide residues Italy; 2010. p. 345– 82.
- Das SK, Mukherjee I, Roy A. Flubendiamide as new generation insecticide in plant toxicology: A policy paper. Advances in Clinical Toxicology. 2017; 2(2). https://doi.org/10.23880/ACT-16000122
- Cavoski I, D’Orazio V, Caboni P, Miano TA. Spectroscopic study of possible mechanism of flubendiamide sorption onto humic acids. Geophysical Research Letters. 2009; 11: EGU2009–12819.
- United States of Environmental Protection Agency (USEPA) [Internet]. 2010. [cited 28 Mar 2017]. Available from: http://www.gpo.gov/fdsys/pkg/FR-2010-11-05/ html/2010-27998.html.
- Agnihothri NP. Pesticide safety evaluation and monitoring. AICRP Pesticide Residue, Division of Agricultural Chemicals, IARI, New Delhi; 1999.
- Mohapatra S, Ahuja AK, Deepa M, Jagadish GK, Rashmi N, Sharma D. Development of an analytic method for analysis of flubendiamide, des-iodo flubendiamide and study of their residue persistence in tomato and soil. Journal of Environmental Science and Health, Part B. Pesticides, Food Contaminants, and Agricultural Wastes. 2011; 46:246–71. https://doi.org/10.1080/03601234.2011.540536. PMid:21462054
- Das SK, Mukherjee I, Das SK. Dissipation of Flubendiamide in/on Okra [Abelmoschus esculenta (L.) Moench] Fruits. Bulletin of Environmental Contamination and Toxicology. 2012; 88:381–4. https://doi.org/10.1007/ s00128-011-0491-9. PMid:22147083
- European Food Safety Authority. Modification of the existing MRL for flubendiamide in strawberries. EFSA Journal. 2013; 11(10): 3403 https://doi.org/10.2903/j.efsa.2013.3403
- Buddidathi R, Mohapatra S, Siddamallaiah L, Manikrao G, Hebbar SS. Dissipation pattern of flubendiamide residues on capsicum fruit (Capsicum annuum L.) under field and controlled environmental conditions. Journal of Environmental Science and Health, Part B. Pesticides, Food Contaminants, and Agricultural Wastes. 2016; 51:44–51. https://doi.org/10.1080/03601234.2015.1080496. PMid:26549520
- Bayer AG. Report MR-202/03, Laboratory Project ID: P601030020, Leverkusen; 2003.
- Gopal M, Mishra E. Analytical method for estimation of a new insecticide flubendiamide and its safety evaluation for usage in rice crop. Bull Environ Contam Toxicol. 2008; 81(4):360–4. https://doi.org/10.1007/s00128-008-9470-1. PMid:18587521
- Battu RS, Singh B, Kooner R, Singh B. Simple and efficient method for estimation of residues of flubendiamide and its metabolites desi-odoflubendiamide. Journal of Agricultural and Food Chemistry. 2008; 56(7):2299–302. https://doi.org/10.1021/jf073081s. PMid:18321053
- Sorg DA, Buckner B. A simple method for obtaining venous blood from small laboratory animals. Proceeding of the Society for Experimental Biology and Medicine. 1964; 115:1131–2. https://doi.org/10.3181/00379727-115-29134. PMid:14166577
- Rao TN, Rao ST, Silpa G. Determination of lymecycline and tetracycline residues in bovine milk followed by matrix solid-phase dispersion coupled to high performance liquid chromatography with ultraviolet detection. World Journal of Pharmaceutical Research. 2012; 1:1281–90.
- Motoba. K. Absorption, distribution, metabolism and excretion of radiolabele NNI-0001 following a single oral administration to male and female rats. Final report (Amended I). Project number: GB/01,03/0222, LSRC/ M04/114A. Unpublished study prepared by Nihon Nohyaku., Co. Ltd.; 2005.
- Energy Efficient Power Allocation for Cognitive Radio Networks with Optimal Spectrum Utilization using Ensemble Adaptive Neuro Fuzzy Inference System
Abstract Views :154 |
PDF Views:0
Authors
V. Sangeetha
1,
A. Prakash
1
Affiliations
1 Department of Computer Science, Hindusthan College of Arts and Science, IN
1 Department of Computer Science, Hindusthan College of Arts and Science, IN