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Co-Authors
- Anju Singh
- T. G. Palanivelu
- Malarkodi Velraj
- Mahendra Singh
- V. Ravichandiran
- S. Jayakumari
- Sanjay Ragela
- S. Ramamoorthy
- J. Srikanth
- Kamath Aashish
- M. S. Vaishnavi
- A. Suneel Kumar
- V. Venkatarathanamma
- V. Naga Saibabu
- Nageswara Rao Tentu
- Pavan Kumar Kota
- K. Suneel Kumar
- M. Suganya
- Pankaj Kumar Giri
- P. Shanmugasundaram
- Tentu Nageswara Rao
- Karri Apparao
- N. Krishnarao
- Selvakannan A. Ajith SP
- S. Sangeetha
- N. Ranjith
- B. Ebenezer Abishek
- Blessy Sharon Gem
- P. Sathish Kumar
Journals
- International Journal of Plant Sciences
- Indian Journal of Science and Technology
- Research Journal of Pharmacognosy and Phytochemistry
- Oriental Journal of Computer Science and Technology
- Research Journal of Pharmacology and Pharmacodynamics
- Research Journal of Pharmacy and Technology
- Asian Journal of Pharmacy and Technology
- Asian Journal of Research in Pharmaceutical Sciences
- ICTACT Journal on Communication Technology
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
Vijayalakshmi, A.
- Utilization of Agro-industrial Wastes for the Improvement of Vegetative and Yield Characters in Black Gram (Vigna mungo L.)
Abstract Views :233 |
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Authors
Affiliations
1 Department of Botany, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, T.N., IN
1 Department of Botany, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, T.N., IN
Source
International Journal of Plant Sciences, Vol 8, No 2 (2013), Pagination: 381-384Abstract
An experiment was conducted to analyse the effect of the interaction between different rates of composted press mud, composted coirpith, farmyard manure and NPK on vegetative and yield parameters of black gram ( Vigna mungo L. Var.Co. ADT5). On the 25th day a significant increase in ischolar_main length( T2- Composted coirpith), shoot length (T9- Composted coirpith + 25 % NPK), number of leaves (T6 -Composted coirpith + 50 % NPK), number of nodules (T2- Composted pressmud), fresh weight (T11- FYM + 25% NPK), dry weight (T10- Composted pressmud + 25%NPK) was observed. On the 45th day an increase in ischolar_main length (T11- FYM +25% NPK), shoot length (T10- Composted pressmud + 25%NPK), number of leaves (T8 - FYM+50% NPK), number of nodules (T6- Composted coirpith + 50% NPK), number of flowers (T5 - NPK 100%), fresh weight (T7 - Composted pressmud + 50%NPK), dry weight (T7 - Composted pressmud + 50%NPK) were noted. On the 55th day a significant increase in ischolar_main length (T9 - Composted coirpith + 25% NPK), shoot length(T10 - Composted pressmud + 25%NPK), number of nodules (T3 - Composted pressmud), number of fruits(T11 - FYM+25% NPK), fresh weight(T7 - Composted pressmud + 50%NPK), dry weight (T7 - Composted pressmud + 50%NPK) was observed. And on 75th day the yield parameters number of pods/plant, length of pods, weight of pods, number of seeds/pod , weight of seed/pod, pods fresh weight and dry weight were significantly increased in T11 (FYM + 25%NPK) treatment. Thus, in conclusion composted coirpith, composted pressmud and FYM increased the vegetative growth and FYM with 25%NPK increase the yield of black gram.Keywords
Composted Coirpith, Compostedpressmud, Farm Yard Manure,vigna Mungo
- Effect of Combined Application of Composted Pressmud, Coirpith and Farmyard Manure on the Yield and Growth Characteristics of Green Gram (Vigna radiata L.)
Abstract Views :278 |
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Authors
Affiliations
1 Department of Botany, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, T.N., IN
1 Department of Botany, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, T.N., IN
Source
International Journal of Plant Sciences, Vol 8, No 2 (2013), Pagination: 410-413Abstract
A field experiment was carried out at Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore for assessing the effect of composted coirpith, composted pressmud, farmyard manure and NPK on vegetative and yield parameters of green gram (Vignaradiata L.). On 25th day after sowing a significant increase in ischolar_main length in T2(composted coirpith), shoot length in T5(NPK 100%), number of leaves in T7(composted pressmud+50%NPK), number of nodules inT4(FYM), fresh weight inT10(composted pressmud+25%NPK) and dry weight in T11(FYM + 25%NPK) was noted. On 45thday an increase in ischolar_main length in T10(composted pressmud+25%NPK),shoot length in T6(composted coirpith + 50%NPK), number of leaves in T3(composted pressmud ), number of nodules in T4(FYM), number of flowers in T8(FYM + 50%NPK), fresh weight in T8(FYM + 50%NPK), dry weight in T8(FYM + 50%NPK) was observed. On 55th day a significant increase in ischolar_main length in T5(NPK 100%), shoot length in T3(composted pressmud), number of nodules in T3(composted pressmud ), number of fruits in T6 (composted coirpith + 50%NPK), fresh weight and dry weight in T12(composted coirpith + composted pressmud + FYM) was observed. There was an increase in yield parameters number of pods/plant was increase in T11(FYM +25%NPK), length of pods in T10(composted pressmud + 25%NPK),weight of pods in T10(composted pressmud+25%NPK), number of seeds / pod in T5(NPK 100%), weight of seeds/pod in T8(FYM + 50%NPK), pods fresh weight in T10(composted pressmud +25%NPK) and pods dry weight in T2(composted coirpith). The positive effect obtained from composted coirpith, composted pressmud and farmyard manure in this study favour the recycling of agrowastes for sustainable crop production.Keywords
Green Gram, Composted Coirpith, Composted Pressmud, Farm Yard Manure- Enhanced Security for Wireless Sensor Networks Using Smart Mobile Agents
Abstract Views :171 |
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Authors
Affiliations
1 Department of Electronics and Communication Engineering, Sri Manakula Vinayagar Engineering College, Pondicherry University, Puducherry, IN
1 Department of Electronics and Communication Engineering, Sri Manakula Vinayagar Engineering College, Pondicherry University, Puducherry, IN
Source
Indian Journal of Science and Technology, Vol 9, No 35 (2016), Pagination:Abstract
Objectives: To enhance wireless sensor network security by selecting secure nodes for transmission and eliminating threat nodes from the routing path using Mobile Agent (MA) deployment. Methods: Smart Mobile Agents (SMAs) executes three different functionalities such as data gathering, transmission, and behavior monitoring, each of which is incorporated to Mobile Collector, Dispatcher, and Scrutinizing Agents respectively. Findings: Simulation results prove that SMA based network improves throughput by 55.56%, minimizes misdetection and disconnection probability by 21.6% and 20% respectively. SMA based network also decreases packet loss by 20%. Improvements: SMA deployed network shows better performance than non-SMA based networks as they are complex while integrating the multiple functionalities as a single task.Keywords
Dispatcher Agent, Genus Function, Scrutinizing Agent, Smart Mobile Agents - Mobile Collector Agent, Wireless Sensor Networks.Full Text
- Free Radical Scavenging Activity of Scindapsus officinalis Fruits
Abstract Views :157 |
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Authors
Malarkodi Velraj
1,
Mahendra Singh
2,
V. Ravichandiran
2,
S. Jayakumari
2,
A. Vijayalakshmi
2,
Sanjay Ragela
2
Affiliations
1 Dept. of Pharmacognosy, Vels College of Pharmacy, Pallavaram, Chennai-600 117, IN
2 Department of Pharmacognosy, Vels College of Pharmacy, Pallavaram, Chennai-600 117, IN
1 Dept. of Pharmacognosy, Vels College of Pharmacy, Pallavaram, Chennai-600 117, IN
2 Department of Pharmacognosy, Vels College of Pharmacy, Pallavaram, Chennai-600 117, IN
Source
Research Journal of Pharmacognosy and Phytochemistry, Vol 2, No 4 (2010), Pagination: 280-283Abstract
In the present study, coarse powder of Scindapsus officinalis (Roxb.) Schott. fruit was extracted successively using hexane, chloroform, ethyl acetate and 50% ethanol. The ethyl acetate and 50% ethanolic extracts were investigated for its antioxidant activity by using nitric oxide and DPPH radical scavenging methods. The IC50 value was also calculated. Ascorbic acid was used as a standard. Both 50% ethanolic and ethyl acetate extract were found to exert concentration dependent free radical scavenging activity but former extract was more effective than the later on. The highest free radical scavenging activity by Scindapsus officinalis fruit extracts was observed at concentration of 1000 μg/ml.Keywords
Scindapsus officinalis (Roxb.) Schott., Antioxidant, Free Radicals, IC50 Value.- Antidepressant-Like Effects of the Ethanolic Extract of Albizzia lebbeck (Linn) Leaves in Animal Models of Depression
Abstract Views :183 |
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Authors
Malarkodi Velraj
1,
A. Vijayalakshmi
2,
S. Jayakumari
2,
S. Ramamoorthy
2,
V. Ravichandiran
2,
J. Srikanth
3
Affiliations
1 Department of Pharmacognosy, Vels School of Pharmaceutical Sciences, Vels University, Pallavaram, Chennai–117, Tamil Nadu, IN
2 Department of Pharmacognosy, Vels School of Pharmaceutical Sciences, Vels University, Pallavaram, Chennai-117, Tamil Nadu, IN
3 Department of Pharmacology, Sri Ramachandra College of Pharmacy, Sri Ramachandra University, Porur, Chennai-600116, Tamilnadu, IN
1 Department of Pharmacognosy, Vels School of Pharmaceutical Sciences, Vels University, Pallavaram, Chennai–117, Tamil Nadu, IN
2 Department of Pharmacognosy, Vels School of Pharmaceutical Sciences, Vels University, Pallavaram, Chennai-117, Tamil Nadu, IN
3 Department of Pharmacology, Sri Ramachandra College of Pharmacy, Sri Ramachandra University, Porur, Chennai-600116, Tamilnadu, IN
Source
Research Journal of Pharmacognosy and Phytochemistry, Vol 2, No 1 (2010), Pagination: 30-33Abstract
The present study was designed to investigate the antidepressant effects of Albizzia lebbeck leaves in various animal depression models. The alcoholic extract (70% v/v ethanol) of Albizzia lebbeck leaves (200 and 400 mg/kg. p.o) was administered once daily for seven successive days to separate groups of young male swiss albino mice. The immobility periods of control and treated mice were recorded in two behavioral despair models forced swim test (FST), tail suspension test (TST) and the effect of extract on locomotor function of mice was studied using actophotometer. The antidepressant-like effect of tested drug was compared to that of imipramine (15 mg/kg. p.o) and fluoxetine (20mg/kg.p.o). The leaf extract at doses of 200 and 400 mg/kg significantly decreased the duration of immobility time in a dose dependent manner in both FST and TST.
The extract did not show significant effect on locomotor activity of mice. The efficacy of tested extract was found to be comparable to that of imipramine and fluoxetine. Our results suggested that the ethanolic extract of Albizzia lebbeck leaves exerts antidepressant-like effect.
Keywords
Albizzia lebbeck, Depression, Forced Swim Test, Tail Suspension Test.- Comparison of Viola-Jones and Kanade-Lucas-Tomasi Face Detection Algorithms
Abstract Views :241 |
PDF Views:8
Authors
Affiliations
1 Department of Computer Science, Christ University, Bengaluru, IN
1 Department of Computer Science, Christ University, Bengaluru, IN
Source
Oriental Journal of Computer Science and Technology, Vol 10, No 1 (2017), Pagination: 151-159Abstract
Face detection technologies are used in a large variety of applications like advertising, entertainment, video coding, digital cameras, CCTV surveillance and even in military use. It is especially crucial in face recognition systems. You can’t recognise faces that you can’t detect, right? But a single face detection algorithm won’t work in the same way in every situation. It all comes down to how the algorithm works. For example, the Kanade-Lucas-Tomasi algorithm makes use of spatial common intensity transformation to direct the deep search for the position that shows the best match. It is much faster than other traditional techniques for checking far fewer potential matches between pictures. Similarly, another common face detection algorithm is the Viola-Jones algorithm that is the most widely used face detection algorithm. It is used in most digital cameras and mobile phones to detect faces. It uses cascades to detect edges like the nose, the ears etc. However, if there is a group of people and their faces are close to each other, the algorithm might not work that well as edges tend to overlap in a crowd. It might not detect individual faces. Therefore, in this work, we test both the Viola-Jones and the Kanade-Lucas-Tomasi algorithm for each image to find out which algorithm works best in which scenario.Keywords
Viola-Jones, Kanade-Lucas-Tomasi, Face Detection, Face Recognition.Full Text
References
- Face detection - Wikipedia - https://en.wikipedia.org/wiki/Face_detection
- Face detection - facedetection.com.
- Inseong Kim, Joon Hyung Shim and Jinkyu Yang (2016) Face Detection, Stanford University, International Journal of Engineering Research and Applications, 6, 1, pp145-150.
- Face Recognition - nec.com.
- Face detection concepts overview - Google Developers - https://developers.google.com/vision/face-detection-concepts.
- Viola-Jones object detection framework - Wikipedia - https://en.wikipedia.org/wiki/Viola%E2%80%93Jones_object_detection_framework.
- Kanade-Lucas-Tomasi feature tracker - Wikipedia - https://en.wikipedia.org/wiki/Kanade%E2%80%93Lucas%E2%80%93Tomasi_feature_tracker.
- Paul Viola, Michael Jones, ‘Robust Real Time Face Detection’, International Journal of Computer Vision, 57(2), 137 - 154.
- Yi Qing Wang, ‘An Analysis Of The Viola - Jones Face Detection Algorithm’, Image Processing On Line, 2014, v0.5.
- Paul Viola, Michael Jones, ‘Rapid Object Detection using a Boosted Cascade of Simple Features’, Accepted Conference on Computer Vision and Pattern Recognition, 2001.
- Kin Choong Yow, Roberto Cipolla, ‘Feature based Human Face Detection’, CUED, F-INFENG, TR249.
- Guangzheng Yang, Thomas Huang, ‘Human Face Detection In A Scene’, IEEE, 1063-6919/93.
- Jan Flusser, ‘Moment Invariants In Image Analysis’, World Academy Of Science, Engineering and Technology, 11, 2005.
- Liming Wang, Jianbo Shi, Gang Song, ‘Object Detection Combining Recognition and Segmentation’.
- Sujata Bhele, Vijay Mankar, ‘A Review Paper On Face Recognition Techniques’, International Journal Of Advanced Research in Computer Engineering and Technology, 1(8), 2012.
- Lawrence Sirovich, Marsha Meytlis, ‘Symmetry, Probability And Recognition In Face Space’, PNAS, 106(17), 6895 - 6899.
- Serge Belongie, Jitendra Malik, Jan Puzicha, ‘Shape Matching And Object Recognition Using Shape Contexts’, IEEE Transactions On Pattern Analysis And Machine Intelligence, 24(24), 2002, 509 - 522.
- Scene from the movie ‘We Are Your Friends’.
- Scene from the movie ‘Watchmen’.
- Age Estimation Using OLPP Features
Abstract Views :201 |
PDF Views:7
Authors
Affiliations
1 Department of Computer Science, Christ University, Hosur road, Bangalore, IN
1 Department of Computer Science, Christ University, Hosur road, Bangalore, IN
Source
Oriental Journal of Computer Science and Technology, Vol 10, No 1 (2017), Pagination: 238-248Abstract
Aging face recognition poses as a key difficulty in facial recognition. It refers to identification of a person face over varied ages. It includes issues like age estimation, progression and verification. Non-availability of facial aging databases make it harder for any system to achieve good accuracy as there are no good training sets available. Age estimation when done correctly has a varied number of real life applications like age detailed vending machines, age specific access control and finding missing children. This paper implements age estimation using Park Aging Mind laboratory - Face database that contains metadata and 293 unique images of 293 individuals. Ages range from 19 to 45 with a median age of 32. Race is classified into two categories : African-American and Caucasian giving an accuracy of 98%. Sobel edge detection and Orthogonal locality preservation projection were used as the dominant features for the training and testing of age estimation. A Multi-stage binary classification using support vector machine was used to classify images into an age group thereafter predicting an individual’s age. The effectiveness of this method can be increased by using a large dataset with a wider age range.
Keywords
Face Recognition, Orthogonal Locality Preservation Projections, Age Estimation, Multi-Stage Support Vector Machine.Full Text
References
- R. Singh, M. Vatsa, A. Noore, and S. K. Singh, “Age Transformation for Improving Face,” pp. 576–583, 2007.
- A. K. Jain, B. Klare, and U. Park, “Face matching and retrieval in forensics applications,” IEEE Multimed., vol. 19, no. 1, pp. 20–27, 2012.
- A. K. Jain, B. Klare, and U. Park, “Face recognition: Some challenges in forensics,” 2011 IEEE Int. Conf. Autom. Face Gesture Recognit. Work. FG 2011, pp. 726–733, 2011.
- H. Han, C. Otto, and A. K. Jain, “Age Estimation from Face Images: Human vs. Machine Performance,” vol. 37, no. 6, 2015
- H. Ling, S. Soatto, N. Ramanathan, and D. W. Jacobs, “A study of face recognition as people age,” Proc. IEEE Int. Conf. Comput. Vis., 2007.
- Z. Li, D. Gong, X. Li, and D. Tao, “Aging Face Recognition: A Hierarchical Learning Model Based on Local Patterns Selection,” IEEE Trans. Image Process., vol. 25, no. 5, pp. 2146–2154, 2016.
- H. Yang, D. Huang, Y. Wang, H. Wang, and Y. Tang, “Face Aging Effect Simulation Using Hidden Factor Analysis Joint Sparse Representation,” IEEE Trans. Image Process., vol. 25, no. 6, pp. 2493–2507, 2016.
- J. Qiu, Y. Dai, Y. Zhang, and J. M. Alvarez, “Hierarchical Aggregation Based Deep Aging Feature for Age Prediction,” 2015 Int. Conf. Digit. Image Comput. Tech. Appl. DICTA 2015, 2016.
- B. Esme and B. Sankur, “Effects of Aging over Facial Feature Analysis and Face Recognition 2 Age Dilemma/ : An Obstacle , or New,” no. March, pp. 1–4, 2010.
- H. Han, C. Otto, and A. K. Jain, “Age Estimation from Face Images: Human vs. Machine Performance,” vol. 37, no. 6, 2015.
- F. Juefei-xu, K. Luu, M. Savvides, T. D. Bui, and C. Y. Suen, “Investigating Age Invariant Face Recognition Based on Periocular Biometrics,” 2011.
- B. F. Klare, S. Member, and Z. Li, “Matching Forensic Sketches to Mug Shot Photos,” vol. 33, no. 3, pp. 639–646, 2011.
- S. Wang, D. Tao, and J. Yang, “Relative Attribute SVM + Learning for Age Estimation,” pp. 1–13, 2015.
- Xiaofei He ,Partha Niyogi ,2014 August,” Locality Preserving Projections” ,IEEE Transaction On Image Processing
- W. Yu, X. Teng, and C. Liu, “Face recognition using discriminant locality preserving projections,” Image Vis. Comput., vol. 24, no. 3, pp. 239–248, 2006.
- Minear, M. & Park, D.C. (2004). A lifespan database of adult facial stimuli. Behaviour Research Methods, Instruments, & Computers. 36, 630-633
- In Wikipedia from https://en.m.wikipedia.org/wiki/Sobel_operator
- O. R. Vincent, O. Folorunso, 2009, “A Descriptive Algorithm for Sobel Image Edge Detection”, Conference Paper: Proceedings of Informing Science & IT Education Conference 19. Louis Quinn, Margaret Lech, December 2015, “Multi-Stage Classification Network For Automatic Age Estimation from Facial Images”, International Conference on Signal Processing and Communication Systems.
- Anti-Arthritic Activity of Annona squamosa Leaves Methanolic Extract on Adjuvant Induced Arthritis in Rats
Abstract Views :295 |
PDF Views:6
Authors
A. Suneel Kumar
1,
V. Venkatarathanamma
2,
V. Naga Saibabu
3,
Nageswara Rao Tentu
4,
Pavan Kumar Kota
5,
K. Suneel Kumar
6,
A. Vijayalakshmi
7
Affiliations
1 Department of Biochemistry, Acharya Nagarjuna University, Nagarjunanagar, Andhra Pradesh, IN
2 Department of Zoology, Acharya Nagarjuna University, Nagarjunanagar, A.P, IN
3 Department of Biotechnology, Acharya Nagarjuna University, Nagarjunanagar, Andhra Pradesh, IN
4 Department of Chemistry, Krishna University, Machilipatnam, Andhra Pradesh, IN
5 Department of pharmacy, SRM University, Chennai, Tamilnadu, IN
6 Department of Biotechnology, Periyar University, Salem, Tamil Nadu, IN
7 Department of Marine Living Resources, Andhra University, Visakhapatnam, Andhra Pradesh, IN
1 Department of Biochemistry, Acharya Nagarjuna University, Nagarjunanagar, Andhra Pradesh, IN
2 Department of Zoology, Acharya Nagarjuna University, Nagarjunanagar, A.P, IN
3 Department of Biotechnology, Acharya Nagarjuna University, Nagarjunanagar, Andhra Pradesh, IN
4 Department of Chemistry, Krishna University, Machilipatnam, Andhra Pradesh, IN
5 Department of pharmacy, SRM University, Chennai, Tamilnadu, IN
6 Department of Biotechnology, Periyar University, Salem, Tamil Nadu, IN
7 Department of Marine Living Resources, Andhra University, Visakhapatnam, Andhra Pradesh, IN
Source
Research Journal of Pharmacology and Pharmacodynamics, Vol 9, No 2 (2017), Pagination: 46-56Abstract
The current research has aimed to evaluate the anti-arthritic effect of Annona squamosamethanolic leaves extract(ASME) on the progression of adjuvant induced arthritis in Wistar rats.ASME was obtained by bioactivity guided fraction by 5-Lipooxygenase inhibitory activity.The ASME was administrated orally at 100 and 200 mg/kg body weight for 35 days to the experimental animals.Arthritis was induced on day 8 by a single intraplantar injection of 0.1 ml suspension of heat killed Mycobacterium tuberculosis(100 μg/animal) in incomplete Freund's adjuvant of left foot pads of female Wistar rats. The anti-arthritic activity extract was screened by measuring hind limb paw volume, biochemical and haematological parameters, pathological and radiography changes. The levels of pro-inflammatory cytokines TNF-α, IL-1β and inflammatory mediators PGE2, LTB4 was measured in serum samples on day 35. The stabilizing ability of lipid peroxide and activities of enzymatic antioxidants catalase,superoxide dismutase (SOD) and non-enzymatic antioxidants reduced glutathione (GSH)levels were measured in liver.Treated groups ASME 100 and 200 mg/kg and prednisolone 10 mg/kg significantly decreased hind paw volume, diminished serum levels of TNF-α, IL-1β, PGE2 and LTB4, reduced MDA levels and increased levels of catalase, SOD and GSH levels in liver and promising results of serum biochemistry, haematology, histopathology and radiographic changes suggests the administration of ASME was effective in modulating the inflammatory response and conquer the advancement of arthritis in experimental animal model. The safety of ASME was established (LD50>2000 mg/kg) by acute oral toxicity limit test according to OECD guideline 423. These findings may help to improve the treatment of rheumatoid arthritis.Keywords
Rheumatoid Arthritis, Annona Squamosaleaves Methanolic Extract (ASME), Inflammation, 5-Lipooxygenase, TNF-α, IL-1β, PGE2 and LTB4.- Bronchodilator and Mast Cell Stabilizer Effect of Siddha Formulation Seenthil Chooranam
Abstract Views :160 |
PDF Views:3
Authors
Affiliations
1 Department of Pharmacognosy, School of Pharmaceutical Sciences, VISTAS, Vels University, Pallavaram, Chennai-117, Tamilnadu, IN
1 Department of Pharmacognosy, School of Pharmaceutical Sciences, VISTAS, Vels University, Pallavaram, Chennai-117, Tamilnadu, IN
Source
Research Journal of Pharmacy and Technology, Vol 10, No 1 (2017), Pagination: 252-256Abstract
The present study aimed to evaluate anti-asthmatic activity of a classical Siddha formulation Seenthil chooranam (SC) by mast cell stabilizing effect and broncho dilator property by in-vivo method. Preliminary phytochemical and HPTLC analysis of SC were determined as per standard protocols. Phytochemical analysis of aqueous extract gave positive test for carbohydrates, phenols, glycosides, saponins, flavonoids, tannins and terpenoids. HPTLC finger print analysis of the aqueous extract showed the presence of possible number of components. The results of the in-vivo study demonstrate that SC has potent broncho dilator property with significant (p<0.001) mast cell stabilizing activity and decrease in leukocytosis in dose dependent manner. These findings are clearly indicative of the role of SC as potent inhibitor of mast cell degranulation and ability to control the leukocytosis, have bronchodilation and hence can be used for the management of asthma supporting the traditional claims.Keywords
Seenthil Chooranam, Siddha Formulation, Asthma, Mast Cell.- A New Analytical Method Validation and Quantification of Olmesartan Medoxomil and its Related Impurities in Bulk Drug Product by HPLC.
Abstract Views :282 |
PDF Views:0
Authors
Affiliations
1 Department of Chemistry, Krishna University, Machilipatnam, Andhra Pradesh, IN
2 Department of Marine Living Resources, Andhra University, Visakhapatnam, Andhra Pradesh, IN
1 Department of Chemistry, Krishna University, Machilipatnam, Andhra Pradesh, IN
2 Department of Marine Living Resources, Andhra University, Visakhapatnam, Andhra Pradesh, IN
Source
Asian Journal of Pharmacy and Technology, Vol 7, No 3 (2017), Pagination: 147-152Abstract
A simple and inexpensive method was developed with high performance liquid chromatography with PDA detection for determination of olmesartan Medoxomil and its related impurities. The chromatographic separations were achieved on (250×4.6 mm), 5.0 μm make: Zorbax Eclipse XDB-C8 column employing 00.1% H3PO4 in Water: Acetonitrile in the ratio of 50:50 (v/v) as mobile phase with gradient initially A:B:70:30 and followed as Time/A/B: 25/30/70; 30/30/70; 31/75/25 and runtime is 35 mins at flow rate 1.0 mL/min was chosen. All impurities were eluted within 18 minutes. The column temperature was maintained at 30oC and a detector wavelength of 225 nm was employed. The method was successfully validated by establishing Specificity, Linearity, Precision, Accuracy, Limit of detection and Limit of quantification.Keywords
HPLC, Method Validation, Related Impurities, Olmesartan Medoxomil, LOQ, LOD.References
- Tapeesh Bharti, Rakhi Mishra, Chatrasal Singh Rajput, Richa Singhal. Analytical method development and validation of assay for Olmesartan Medoxomil in formulated product by reverse phase ultra performance liquid chromatography. European Journal of Biomedical and Pharmaceutical Sciences. 2016; 3(2): 215-222.
- Kuldeep Singh, Anirbandeep Bose, Gurubasavaraja Swamy PM, Divakar Goli. Method development and validation of simultaneous analysis of Olmesartan Medoxomil and hydrochlorothiazide by UV and HPLC, their cross validation. World Journal of Pharmacy and Pharmaceutical Sciences. 2015; 4(7): 905-917.
- Shailesh T. Prajapati, Hitesh H. Bulchandani, Dashrath M. Patel, Suresh K. Dumaniya, Chhaganbhai N. Patel. Formulation and Evaluation of Liquisolid Compacts for Olmesartan Medoxomil. Hindawi Publishing Corporation Journal of Drug Delivery. 2013; 2013: 1-9.
- A.T. Hemke, M.V. Bhure, K.S. Chouhan, K.R. Gupta, S.G. Wadodkar. UV Spectrophotometric Determination of Hydrochlorothiazide and Olmesartan Medoxomil in Pharmaceutical Formulation. E-Journal of Chemistry. 2010; 7(4): 1156-1161.
- Abdullah A Masud, Md. Mahfuzur Rahman, Moynul Hasan, Md. Kamal Hossain Ripon, Ahsanur Rahman Khan, Md. Rabiul Islam, Md. Raihan Sarkar. Validated Spectrophotometric Method for Estimation of Olmesartan Medoxomil in Pharmaceutical Formulation. International Journal of Pharmaceutical and Life Sciences. 2012; 1(3): 1-7.
- Chimalakonda Kameswara Rao1, , Kakumani Kishore Kumar , Maddala Vijaya Laxmi, Polisetty Srinivasulu, Gutta Madhusudhan, Khagga Mukkanti, Koduri Sai Venkata Srinivas. Development and Validation of Stability Indicating LC Method for Olmesartan Medoxomil. American Journal of Analytical Chemistry. 2012;3:153-160.
- G. Kumar, T.B. Patrudu, Tentu Nageswara Rao, M.V. Basaveswara Rao, A New Analytical Method Validation and Quantification of Benazepril and its Related Substance in bulk Drug Product by HPLC, Asian Journal of Pharmaceutical Analysis, 2017; 7(1): 1-5.
- G. Kumar, T B. Patrudu, M.V. Basaveswara Rao and Tentu. Nageswara Rao, A Novel Method Development and Validation for Related Substances of Adapalene in Bulk Drug Product by HPLC, Research J. Pharm. and Tech 2016; 9(12):2234-2240.
- G. Kumar, T. B. Patrudu, Tentu. Nageswara Rao, M. V. Basaveswara Rao, A new analytical HPLC method for cleaning validation of pantoprazole sodium bulk drug product, Indo American Journal of Pharmaceutical, Research.2016:6(10), 6584-6593.
- International Conference on Harmonisation, Validation of Analytical Procedures. ICH Q2B. 1996.
- A New Simultaneous HPLC Analytical Method for Quantification of Benazepril Hydrochloride and its Related Impurities in Bulk Drug Product
Abstract Views :308 |
PDF Views:0
Authors
Affiliations
1 Department of Chemistry, Krishna University, Machilipatnam, Andhra Pradesh, IN
2 Department of Marine Living Resources, Andhra University, Visakhapatnam, Andhra Pradesh, IN
1 Department of Chemistry, Krishna University, Machilipatnam, Andhra Pradesh, IN
2 Department of Marine Living Resources, Andhra University, Visakhapatnam, Andhra Pradesh, IN
Source
Asian Journal of Research in Pharmaceutical Sciences, Vol 7, No 3 (2017), Pagination: 135-140Abstract
A simple and inexpensive method was developed with high performance liquid chromatography with PDA detection for determination of benazepril hydrochloride and its related impurities. The chromatographic separations were achieved on (250×4.6 mm), 5.0 μm make: Symmetry Shield column employing 0.02M tetrabuthylammonium hydroxide + 0.05 % v/v acetic acid : methanol in the ratio of 50:50 (v/v) as mobile phase with isocratic at flow rate 1.0mL/min was chosen. All impurities were eluted within 30 minutes. The column temperature was maintained at 25°C and a detector wavelength of 240 nm was employed. The method was successfully validated by establishing System Suitability, Specificity, Linearity, Precision, Accuracy, Limit of detection and Limit of quantification.Keywords
HPLC, Method Validation, Related Impurities, Benazepril Hydrochloride, LOQ, LOD.References
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- Bharat Kumar D, Jitendra patel, Pranati Chhatoi, Shabana Begum, Suddhasatya Dey. Analytical Method Development and Validation of Amlodipine and Benazepril hydrochloride in combined dosage form by RP-HPLC. International Journal of Chemical and Pharmaceutical Sciences. 2(1); 2011: 26-30.
- Sarat M, Murali Krishna P and Rambabu C. Development and Validation of RP-HPLC method for Simultaneous Estimation of Amlodipine Besylate and Benazepril Hcl in tablet dosage form. Int J Curr Pharm Res. 4 (3); 2012: 80-84.
- Pratap Pawar Y, Rupali Joshi S, Vijay Sandhan, Santosh Wagh and Kunal Jangale. Simultaneous spectrophotometric estimation of Amlodipine Besylate and Benazepril HCl in pure and pharmaceutical dosage form. Der Pharmacia Lettre. 3(3); 2011: 397-403.
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- G. Kumar, T.B. Patrudu, Tentu Nageswara Rao, M.V. Basaveswara Rao. A New Analytical method Validation and Quantification of entacapone and its Related Substance in bulk Drug Product by HPLC. Asian Journal of Pharmaceutical Analysis. 7(1); 2017: 1-5.
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- G. Kumar, T. B. Patrudu, Tentu. Nageswara Rao, M. V. Basaveswara Rao. A new analytical HPLC method for cleaning validation of pantoprazole sodium bulk drug product. Indo American Journal of Pharmaceutical, Research. 6(10); 2016: 6584-6593.
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- Phytochemical and Physiochemical Standardization of a Siddha Formulation Seenthil Chooranam
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Authors
Affiliations
1 School of Pharmaceutical Sciences, VISTAS, Vels University, Pallavaram, Chennai-117, Tamilnadu, IN
1 School of Pharmaceutical Sciences, VISTAS, Vels University, Pallavaram, Chennai-117, Tamilnadu, IN
Source
Research Journal of Pharmacy and Technology, Vol 11, No 1 (2018), Pagination: 23-26Abstract
The aim of the present study is to investigate the phytochemical and physiochemical investigation of a traditional classical Siddha formulation known as Seenthil chooranam (SC). Preliminary phytochemical analysis, HPTLC analysis and physicochemical parameters such as ash values, extractive values and loss on drying were determined as per standard protocols. The SC upon successive extraction with petroleum ether, chloroform, ethyl acetate and ethanol gave a yield of 0.05, 0.33, 1.50 and 1.90%w/w respectively. Phytochemical analysis of different extracts gave positive test for alkaloids, steroids, terpenoids, flavonoids, tannins, carbohydrates, glycosides, and proteins. HPTLC finger print analysis of the extracts showed the presence of possible number of components. Physicochemical parameters such as total ash, water soluble ash and acid insoluble ash values were found to be 2.98, 1.62 and 1.04%w/w, respectively; extractive value were found to be alcohol soluble 10.20 %w/w, water soluble- 10.24%w/w and moisture content– 0.105% w/w. The present study provides phytochemical and physicochemical details of SC which are useful in laying down standardization and pharmacopoeia parameters.Keywords
Seenthil chooranam, Siddha Formulation, Standardization, HPTLC.References
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- Quality control methods for medicinal plant materials WHO. Indian edition. Geneva; 2004.
- Chondromalacia Patellae:A Review
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Authors
Affiliations
1 School of Pharmaceutical Sciences, Vels Institute of Science, Technology and Advanced Studies (VISTAS), Pallavaram, Chennai-117, Tamilnadu, IN
2 Department of Pharmacognosy, School of Pharmaceutical Sciences, Vels Institute of Science, Technology and Advanced Studies, Pallavaram, Chennai, Tamil Nadu, IN
1 School of Pharmaceutical Sciences, Vels Institute of Science, Technology and Advanced Studies (VISTAS), Pallavaram, Chennai-117, Tamilnadu, IN
2 Department of Pharmacognosy, School of Pharmaceutical Sciences, Vels Institute of Science, Technology and Advanced Studies, Pallavaram, Chennai, Tamil Nadu, IN
Source
Research Journal of Pharmacy and Technology, Vol 12, No 1 (2019), Pagination: 412-418Abstract
Chondromalacia patella (knee pain) is the softening and breakdown of the tissue (cartilage) on the underside of the kneecap (patella) and is often referred to as chondromalacia of the patella, patellofemoral syndrome, or runner's knee. Pain Results when the knee and the thigh bone (femur) rub together. Abnormal knee cap positioning, tightness or weakness of the muscles associated with the knee, too much activity involving the knee, and flat feet may increase the likelihood of chondromalacia patella. The undersurface of the patella is covered with hyaline cartilage that articulates with the hyaline cartilage covered femoral groove (trochlear groove). Post-traumatic injuries, microtrauma wear and tear, and iatrogenic injections of medication can lead to the development of chondromalacia. Chondromalacia occurs in any joint and is especially common in joints that have had trauma and deformities. Cartilage is the soft tissue padding which is present between all joint and bones and acts like a shock absorber. The cartilage experiences a lot of wear, tear and damage over time. The cartilage is essentially avascular (has no blood or nerve supply) and is therefore quite a difficult area to heal. Long term therapy is essential in ensuring healthy repair so that further complications are not experienced in the future.Keywords
Chondromalacia, Chondromalacia Patella, Knee Pain, Cartilage.References
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- Ultra Wide-band Systems with Ensembles of Classifiers Based Latent Graph Predictor FM for Optimal Resource Prediction
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Authors
Affiliations
1 Department of Electronics and Communication Engineering, Vel Tech Multi Tech Dr.Rangarajan Dr.Sakunthala Engineering College, IN
2 Department of Electronics and Communication Engineering, Vels Institute of Science, Technology and Advanced Studies, IN
3 Department of Computer and Communication Engineering, Rajalakshmi Institute of Technology, IN
1 Department of Electronics and Communication Engineering, Vel Tech Multi Tech Dr.Rangarajan Dr.Sakunthala Engineering College, IN
2 Department of Electronics and Communication Engineering, Vels Institute of Science, Technology and Advanced Studies, IN
3 Department of Computer and Communication Engineering, Rajalakshmi Institute of Technology, IN
Source
ICTACT Journal on Communication Technology, Vol 14, No 4 (2023), Pagination: 3043-3049Abstract
The proliferation of Ultra Wide-Band (UWB) systems has introduced new challenges in predicting optimal resource allocation, necessitating advanced methodologies to enhance efficiency. Current resource prediction models for UWB systems often struggle to accurately forecast optimal resource allocation due to the dynamic and complex nature of the communication environment. This study aims to overcome these limitations by introducing a novel framework that integrates machine learning ensembles and latent graph predictor FM to achieve more accurate and reliable resource predictions. While various resource prediction models exist, a noticeable gap remains in achieving optimal predictions for UWB systems in dynamic scenarios. Existing models lack the adaptability and precision required for efficient resource allocation. This research bridges this gap by introducing a comprehensive approach that leverages ensembles of classifiers and latent graph predictor FM to enhance prediction accuracy. This study addresses the existing gaps in resource prediction by proposing an innovative approach that combines ensembles of classifiers with a Latent Graph Predictor FM. Our methodology involves the development of an integrated model that combines the strengths of machine learning ensembles and latent graph predictor FM. The ensemble of classifiers captures diverse patterns and features, while the latent graph predictor FM refines predictions based on latent relationships within the communication network. This dual-layered approach ensures robust and accurate resource prediction in UWB systems. The experimental results demonstrate a significant improvement in resource prediction accuracy compared to existing models. The proposed framework effectively adapts to dynamic UWB environments, providing optimal resource allocation in real-time scenarios. The study showcases the potential of ensembles of classifiers and latent graph predictor FM in addressing the challenges of resource prediction in UWB systems.Keywords
Ultra Wide-Band Systems, Resource Prediction, Ensembles of Classifiers, Latent Graph Predictor FM, Optimal Resource Allocation.References
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- T.Y. Kim and E. Park, “Detecting Wireless Signal Noise in Mobile Radio Communications using Spatiotemporal AnoGAN-Based Approaches”, IEEE Canadian Journal of Electrical and Computer Engineering, Vol. 46, No. 4, pp. 310-321, 2023.
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