Exploring Latex Protein Concentration using SPSS & UV-VIS Spectrophotometer
The methods of using Statistical Package for Social Sciences (SPSS) and UV-VIS Spectrophotometer in determining the value of protein concentration and statistical analysis results are the two essences of this book, which aims to find whether the data samples between both populations can be discriminated or not. It demonstrates the steps of the experiment, starting from the data collection stage right up to the interpretation of the analysed data stage. Fundamental explanations on the theoretical part, particularly about white root disease, the use of UV-VIS spectrophotometers, and statistical data analysis, are also provided. Due to the nature of the research described in this book, readers with applied science, technology, and engineering backgrounds will find it very useful, especially those wanting to do research for classification and those looking forward to using the Shimadzu UV-1800 UV-VIS Spectrophotometer (UV-VIS: Ultraviolet-Visible) in their studies.
Instructor Biography
Mohd Suhaimi Sulaiman (Ph.D) is a senior lecturer in the Faculty of Electrical Engineering at Universiti Teknologi MARA. Ts. Dr. Mohd Suhaimi completed his Ph.D. in Electrical Measurement and Instrumentation at the Faculty of Electrical Engineering, UiTM in 2019. His research interests are Electrical Measurement, Agriculture Technology, and Artificial Neural Networks ranging from theory and design up to implementation. He has been collaborating with the Malaysian Rubber Board for the past few years, where his research focuses particularly on using an electrical measurement system to detect white root diseases affecting rubber trees.
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This book explained the methods used thoroughly and easily understood. I think it is suitable not only for those in science but also social science, especially for data comparison.
I would rate this book 4.5 out of 5 stars for its thorough and detailed presentation of PhD research on rubber tree latex and white root disease, offering valuable insights and practical methodologies for researchers in applied science, technology, and engineering