A Framework of Nutrient Analyser Model for Comparing Food Nutrients

Background: Consumers’ lack of nutritional awareness causes them to have little interest in reading and analysing nutritional information on food labels. Rigorous and scientific comparisons of the nutrient contents of commercial buns are rarely conducted in Malaysia. background: Consumers’ lack of nutritional awareness causes them to have little interest in reading and analysing nutritional information on food labels. Rigorous and scientific comparisons of the nutrient contents for commercial buns are rarely conducted in Malaysia. Objective: The first objective of this study is to classify nutrient contents in commercial buns into beneficial and non-beneficial nutrients. The second objective is to develop a nutrient analyser model framework to compare the nutrient contents for different types of commercial buns. objective: The first objective of this study is to classify nutrient contents in commercial buns into beneficial and non-beneficial nutrients. The second objective is to develop the framework of a nutrient analyser model to compare the nutrient contents for different types of commercial buns. Methods: The nutrient analyser model was developed based on the mathematical theory Technique for Order of Preference by Similarity to the Ideal Solution (TOPSIS) and Shannon’s Entropy Model. The framework of the nutrient analyser model using the two theories was developed. Nutritional data taken from several commercial buns in Malaysia was applied to the model. method: The nutrient analyser model was developed based on the mathematical theory named as Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Shannon’s Entropy Model. The framework of nutrient analyser model that consisted of two processes was developed. Nutritional data taken from several types of commercial buns in Malaysia was applied in the model. Results: The results show that the model was able to identify the type of bun having the most beneficial nutrient contents and the least non-beneficial nutrient contents. result: The result shows that the model was able to identify the type of bun having the most beneficial nutrient contents and having the least non-beneficial nutrient contents. Conclusion: The framework of the nutrient analyser model could serve as a reference for other researchers. The findings benefit the community and researchers as the results indirectly improve consumer awareness of food nutrients prioritizing good health. conclusion: The framework of nutrient analyser model could serve as a reference for other researchers. The findings benefit both the community and researchers as the result indirectly improve consumer awareness of food nutrients that prioritises good health. other: -