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Anusha, B.
- Method Development and Validation of Aliskiren Hemifumarate and Valsartan in bulk drug by RP-HPLC method
Abstract Views :463 |
PDF Views:2
Authors
Somsubhra Ghosh
1,
B. Anusha
1,
Santhoshi
1,
David Banji
1,
Y. Chaithanya Kumar
1,
P. Raghavendra
1,
Subhadip Roy
2
Affiliations
1 Nalanda College of Pharmacy, Nalgonda, Andhra Pradesh, 508001, IN
2 Mylan Laboratories Ltd, Hyderabad, Andhra Pradesh, IN
1 Nalanda College of Pharmacy, Nalgonda, Andhra Pradesh, 508001, IN
2 Mylan Laboratories Ltd, Hyderabad, Andhra Pradesh, IN
Source
Asian Journal of Research in Chemistry, Vol 6, No 1 (2013), Pagination: 19-23Abstract
A new simple, accurate, rapid and precise isocratic High Performance Liquid Chromatographic (HPLC) method was developed and validated for the determination of Aliskiren Hemifumarate (ALSK) and Valsartan (VAL) in bulk drug. The Method employs Waters HPLC system on C8 Column (4.6 x 250 mm, 5 μm) and flow rate of 1 ml/min with a load of 10μl. The Detection was carried out at 220 nm. mobile phase used as Acetonitrile and Phosphate buffer and Methanol was used as mobile phase in the composition of 45:40:15 , phosphate buffer (0.02Mm) adjusted the pH to 4 with Orthophosphoric acid within a short runtime of 8 min. The retention times of Aliskiren (ALSK) was 3.407 min, Valsartan (VAL) was 4.268 min. The method was validated according to the regulatory guidelines with respect to specificity, precision, accuracy, linearity and robustness etc.Keywords
Aliskiren Hemifumarate, Valsartan, HPLC, Validation
References
- http://www.drugbank.ca/drugs/DB00177
- Willard HH, Merritt LL, Dean JJA, Frank AS. Instrumental Method of Analysis. CBS Publishers and Distributors, New Delhi. 1986; 9th ed: pp. 580, 626.
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- Kemp WL. Organic Spectroscopy. Macmillan. 1991; 3rd ed: pp. 234-267. 5. http://www.drugbank.ca/drugs/DB01258
- Tatar S, Saglik S, Comparison of UV- and Second derivative- Spectrophotometric and LC methods for the determination of Valsartan in pharmaceutical formulation, Journal of Pharmaceutical and Biomedical Analysis, 30(2); 2002: 371-375.
- Macek J., Klima J. and Ptacek P.,“Rapid determination of Valsartan in human plasma by protein precipitation and high-performance liquid chromatography”, Journal of Chromatography, 832(1); 2007: 169-172.
- Pachauri SL, Paliwal SV, Srinivas KS, Singh YG, Jain VR. Development and validation of HPLC method for analysis of some antihypertensive agents in their pharmaceutical dosage forms. Journal of Pharmaceutical sciences and Research. 2 (8); 2010: 459-464.
- Sangoi MW, Sangoi MS, Oliveira PR, Secretti LT, and Rolim CB. Determination of aliskiren in tablet dosage forms by a validated stability indicating RP-LC method. Journal of Chromatographic Science, 49(2); 2011: 170-175.
- Swamy GK , Rao JS, Kumar JR, Kumar UA, Bikshapathi DR, Kumar DV. Analytical method development and validation of aliskiren in bulk and tablet dosage form by RP-HPLC method. Journal of Pharmacy Research, 4(3); 2011: 865-867.
- Satish KB, Rao JS, and Bhargava KV. A simple and sensitive method for the determination of aliskiren hemifumarate using HPLC-UV detection. Rasayan Journal Chemistry, 4(2); 2011: 285-288.
- Satana E, Altinay S, Göger N., Özkanb S. A., Sentürk Z.,Simultaneous determination of valsartan and hydrochlorothiazide in tablets by firstderivative ultraviolet spectrophotometry and LC, J. Pharm. Biomed. Anal, 25(5-6): 1009-1013.
- Shaboury SE, Hussein SA, Mohamed NA, Mohamed MS, Spectrofluorimetric method for determination of some angiotensin II receptor antagonists, Journal of Pharmaceutical Analysis, 2(1); 2012: 12-18.
- Yadav BR, Moinuddin MD, Battu RK, Samanthula GD, Development and Validation of a New RP-HPLC Method for the Estimation of Valsartan and Hydrochlorothiazide in Tablets, Journal of Analytical Chemistry, 2(8); 2012: 13-19.
- Patnaik A, Shetty M, Sahoo S, Nayak DK, Veliyath SK, A new rp-hplc method for the determination of valsartan in bulk and its pharmaceutical formulations with it’s stability indicative studies. International Journal of Pharmaceutical Sciences, 2(3); 2011: 43-53.
- TYPE I and TYPE II Diabetic Food Recognition System using BAYESIAN, SVM, PARZEN WINDOW, ANN Classifiers
Abstract Views :180 |
PDF Views:3
Authors
B. Anusha
1,
A. B. Ashin Leo
2
Affiliations
1 Department of Computer Science and Engineering, Anna University, Tirunelveli, IN
2 Department of Computer Science and Engineering, Anna University, Tirunelveli, IN
1 Department of Computer Science and Engineering, Anna University, Tirunelveli, IN
2 Department of Computer Science and Engineering, Anna University, Tirunelveli, IN
Source
Digital Image Processing, Vol 8, No 3 (2016), Pagination: 92-100Abstract
The inability to control the disorder in diabetic people, computer-aided habitual food detection system has wedged more consideration now days. The food image processing is the most gifted tool is used for food identification. Scale Invariant Feature Transform (SIFT) algorithm is used to extract the color key points from food image. It is used for building visual dictionary which based on color using k-means clustering algorithm. Features can be grouped into two classes, specifically class I and II. By BAYESIAN, PARZEN WINDOW, K-Nearest Neighbor (KNN) and Support Vector Machine (SVM) kernels such as are used for identifying the input food image belong to eatable category or not eatable category. GLCM parameters are to evaluate different calories from food image for diabetic patients. As a final point compare the recognition accuracy value for various classifiers. The recognition accuracy for various classifiers is used to show the likelihood of the approach in a very huge food image dataset. This project is about consciousness on food particularly for diabetic patients.