Modeling and optimization of microfiber optic sensor parameters using design software and Box Behnken Design (BBD) approach for the SME food industry

Muhamad Zari, Najihah (2024) Modeling and optimization of microfiber optic sensor parameters using design software and Box Behnken Design (BBD) approach for the SME food industry. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

The development of a palm oil detection system for analyzing the condition of palm oil has garnered significant attention in recent years. Recently, optical microfibre sensors are growing as an achievable decision and there is considerable interest in applied for palm oil detection. Wearable optical microfibre sensors have been developed to fulfill the needs of small and medium-sized companies (SMEs) in the palm oil industry. These sensors have been optimized by microfiber input parameters including wavelength, microfiber diameter, palm oil content, and microfiber type to improve sensing performance and sensitivity. The optimization procedure was carried out using a Design of Experiment technique, with the objective of improving the overall quality of the optical microfibre sensor development for detecting palm oil conditions. The methodology is a systematic approach that utilises Design of Experiments (DOE) and statistical approaches to manipulate input parameters and assess their impact on the intended outcome. DOE enables the analysis of the interplay and impacts of many variables, hence promoting the development of microfibre technology for precise, efficient, and economical assessment of palm oil quality. The expected results of this research include a thorough comprehension of microfiber optic sensor characteristics, a mathematical model for palm oil detection, and optimised configurations for the microfiber sensor to precisely identify the condition of palm oil. This project aims to improve the capacity of small and medium-sized enterprises (SMEs) in guaranteeing the quality of palm oil by using new and easily available technologies.

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