Implementation and effect estimation by Taguchi orthogonal array design for Metoprolol Sustained Release Tablets

IF 2.4 Q2 MULTIDISCIPLINARY SCIENCES

Smart Science Pub Date : 2023-07-17 DOI:10.1080/23080477.2023.2236778

Harekrishna Roy, Balaji Maddiboyina, S. A. Rahaman, Pravind Kumar Singh, A. Tripathi, Shani Kumar Srivastava, Raghvendra Chaubey, V. Theendra, Kameswararao Sankula

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Abstract

ABSTRACT The purpose of this study was to evaluate the influence of variables on dosage form development using a Taguchi orthogonal array design. By implementing the design, a total of nine sustained-release Metoprolol tartrate tablet formulations were created. In addition to four responses, four independent variables, including METHOCEL K15M, HPMC K100, Guar gum, and Pectic polysaccharide, were analyzed. In addition to evaluating formulations for hardness, swelling index, drug release percentage, and friability, a release kinetics study is conducted. Half normal plots and interaction plots were drawn to identify significant factors and study their interactions. The data were analyzed using statistical modeling, with the process order being design model and the model type being factorial with main effect determination. Formulation ‘F1’ was determined to be the best and most optimized formulation, and it was further characterized by attenuated total reflectance, differential scanning calorimetry, and X-ray diffraction studies. Additionally, the formulation was evaluated for stability in accordance with ICH guidelines, which revealed that it was sufficiently stable. GRAPHICAL ABSTRACT

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来源期刊

Smart Science Engineering-Engineering (all)

CiteScore

4.70

自引率

4.30%

发文量

期刊介绍： Smart Science (ISSN 2308-0477) is an international, peer-reviewed journal that publishes significant original scientific researches, and reviews and analyses of current research and science policy. We welcome submissions of high quality papers from all fields of science and from any source. Articles of an interdisciplinary nature are particularly welcomed. Smart Science aims to be among the top multidisciplinary journals covering a broad spectrum of smart topics in the fields of materials science, chemistry, physics, engineering, medicine, and biology. Smart Science is currently focusing on the topics of Smart Manufacturing (CPS, IoT and AI) for Industry 4.0, Smart Energy and Smart Chemistry and Materials. Other specific research areas covered by the journal include, but are not limited to: 1. Smart Science in the Future 2. Smart Manufacturing: -Cyber-Physical System (CPS) -Internet of Things (IoT) and Internet of Brain (IoB) -Artificial Intelligence -Smart Computing -Smart Design/Machine -Smart Sensing -Smart Information and Networks 3. Smart Energy and Thermal/Fluidic Science 4. Smart Chemistry and Materials