In this study, microfluidics was applied in the creation of low-GI food gel made from non-traditional ingredients like alginate and soy protein isolate. This method is previously tested to produce lower glycaemic response than normal noodle and pasta.
Research has confirmed that a food's glycemic effect cannot be accurately predicted from the type and amount of carbohydrates it contains, as the rate at which the carbohydrates is digested and released into the bloodstream is influenced by many factors such as the food's physical form, its fat, protein and fibre content, and the chemical structure of its carbohydrates. For these reasons, it is possible to produce food from the same group with different effects on blood glucose. Consumption of low GI food has shown to improve glycemic control, lipid profile and reduce systemic inflammation. However, there are few dietary intervention studies attempting to change the GI of food by changing the staple carbohydrates. In this study, microfluidics was applied in the creation of low-GI food gel made from non-traditional ingredients like alginate and soy protein isolate. This method is previously tested to produce lower glycaemic response than normal noodle and pasta. With noodles being one of the staples to many Singaporeans, food gels formed using functional ingredients derived from food sources offer a lower GI alternative to the conventional noodle and pasta without affecting the people dietary preference.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
PREVENTION
Masking
SINGLE
Enrollment
15
In this intervention arm, subjects will be served with noodles made using microfludic technology.
In this intervention arm, subjects will be served with normal noodle.
National University of Singapore
Singapore, Singapore, Singapore
Change in glucose response
A meal tolerance test will be done to collect blood samples for glucose analysis at 0 min, 15 min, 30 min, 45 min, 60 min , 90 min and 120 min.The change in glucose response will be measured by comparing incremental area under the curve (iAUC) after ingestion of Microfluidic noodle meal and control Mee sua meal.
Time frame: 2 hour
Change in insulin response
A meal tolerance test will be done to collect blood samples for glucose analysis at 0 min, 15 min, 30 min, 45 min, 60 min , 90 min and 120 min.The change in insulin response will be measured by comparing incremental area under the curve (iAUC) after ingestion of Microfluidic noodle meal and control Mee sua meal.
Time frame: 2 hour
Change in ghrelin level
A meal tolerance test will be done to collect blood samples for glucose analysis at 0 min, 30 min, 60 min , 90 min and 120 min.The change in ghrelin level will be measured by comparing AUC after ingestion of Microfluidic meal and control Mee sua meal.
Time frame: 2 hour
Change in glucagon-like peptide 1 (GLP-1) level
A meal tolerance test will be done to collect blood samples for glucose analysis at 0 min, 30 min, 60 min , 90 min and 120 min.The change in GLP-1 level will be measured by comparing AUC after ingestion of Microfluidic meal and control Mee sua meal.
Time frame: 2 hour
Change in satiety rating
A visual analogue scale (VAS) will be presented to the participants at 0, min, 30 min, 60 min , 90 min and 120 min, to indicate how they feel in response to 4 given statements by marking an "X" on a 100-mm line. At time T=12 min, palatability of the treatment was assessed by five characteristics, from bad (0 mm) to good (100 mm). These characteristics were visual appeal, smell, taste, texture, and overall pleasantness of the meal given. Scores were determined by measuring the distance (in mm) from the let starting point of the line to the intersection of the "X". Subjects did not discuss their ratings.The primary outcome was area under the curve (AUC) for responses on the VAS calculated using the trapezoidal rule.
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.
Time frame: 2 hour