Papers by Keyword: Sugar Contents

Abstract: In vinegar production, there are several groups of microorganism consortium acting at different stages at each time. In the first step of alcoholic fermentation process, molds and yeasts are also crucial for vinegar fermentation, yielding sugar contents by accelerating the first step of vinegar fermentation of high ethanol production in the fermentation if the raw materials have complex components such as starch, cellulose, hemicellulose, pectin. Most dominant fungi species identified to be molds Aspergillus spp. had activities in breaking starch into sugar moiety in the present of oxygen. In the study, isolates of Aspergillus spp. were tested for their sugar production containing high contents from various cellulosic materials.

Abstract: In this paper, use the basic principles of near infrared to detect the spectral characteristics of apple, as the research object of Fuji apple, and then establish the model of near infrared technology forecasting apple sugar content, to discover the sugar content in apple. The results show that near infrared transmission spectroscopy can be used as an accurate, reliable, nondestructive testing method, the test has obvious advantages for detecting indicators of Fuji apple sugar.

Abstract: Watermelons are usually sorted by theirs weight and internal quality. Some automated watermelon weight sorters have been developed and operated in watermelon production areas. However, inspection of internal quality of watermelon is still performed by manually. Principal method of identifying internal defect of watermelon is analyzing the percussion sound of watermelon by human experts. Development of non-destructive evaluation technique for internal quality of watermelon is required to reduce human decision errors. The objective of this study was to develop a non-destructive sorting system which can detect internal defect of watermelons. The internal defect evaluation system has a constant-force hitting hammer to generate the acoustic sound, a multi-point sound signal acquiring system, a noise removal circuit, and a signal processing and quality evaluation program. An internal quality prediction model by PLSR (Partial Least Square Regression) was developed by analyzing the percussion sound of watermelons. Using the developed model, the prediction result shows that the overall prediction accuracy was 90.1%, and severely defected watermelons were identified perfectly.