Response Surface Methodology, A Powerful Tool in Biological Research

บทคัดย่อ

Biological research encompasses diverse study perspectives, including experiment design, data surveys and various investigations involving plants, animals, and microorganisms. Every living organism has unique traits and different physical needs. In experiments with designed methodologies, especially those involving experimental design, there are many variables to consider. These include the diverse needs of living organisms, such as nutritional requirements, water and minerals. Sometimes experimental design needs to focus on crucial factors that impact the experiment, and statistical methods are employed to study the variables intensively. However, living organisms exhibit complex physical, biological, and chemical patterns. Controlling variables one at a time during a study may lead to potential deviations in results due to the interconnected activities of various factors. For the experimental results to be as accurate and precise as possible, it is crucial to investigate all relevant variables concurrently.

              This article discusses utilizing statistical methods, particularly Response Surface Design (RSM), as powerful tools for analyzing and predicting experimental results in various trends observed in biological research. It compiles the applications of Response Surface Design (RSM) from various perspectives, incorporating mathematical and statistical knowledge to reduce costs in analyzing multiple variables simultaneously. This approach aids in predicting experimental results reliably. It guides future biological research, facilitating the creation of cost-effective and insightful studies that contribute to advancing knowledge in the field.