Optimization of vacuum impregnated nutmeg rind candy using RSM modeling: effect on functional and nutritional
P Saleena1, E Jayashree2, K C Neethu3
1Department of Food Science and Technology, Kerala University of Fisheries and Ocean Studies, Cochin, 682506 Kerala India.
Vacuum impregnation (VI) enhances food products by infusing nutrients. Optimal conditions for nutmeg rind candy yielded desirable texture, reduced water, and increased sugar, ensuring safety and quality.
Area of Science:
- Food Science and Technology
- Novel Food Processing Techniques
- Nutraceutical Development
Background:
- Vacuum impregnation (VI) is an advanced method for incorporating beneficial compounds into food.
- Natural food matrices offer potential for nutrient enrichment and development of functional foods.
- Nutmeg rind presents an underutilized resource for food product innovation.
Purpose of the Study:
- To optimize vacuum impregnation (VI) parameters for nutmeg rind candy production.
- To characterize the physical, chemical, and functional properties of the optimized candy.
- To ensure the safety and enhance the nutritional profile of the final product.
Main Methods:
- Optimization of process variables: syrup temperature (50–70°C), syrup concentration (60–80° Brix), and VI duration (10–20 min).
- Utilized response surface methodology to determine optimal impregnation conditions.
- Evaluated candy attributes: water loss, sugar gain, texture (chewiness), lightness, and safety (myristicin content).
Main Results:
- Optimal VI conditions identified at 66.81°C, 71.58° Brix, and 11.59 min.
- Achieved 50.0% water loss, 12.23% sugar gain, 9 N chewiness, and 22.17 lightness.
- Significant reduction in myristicin content confirmed enhanced safety for consumption.
Conclusions:
- The developed VI model effectively optimized nutmeg rind candy production.
- Optimized candy exhibits desirable sensory attributes and improved safety profile.
- Further analysis confirmed beneficial functional properties, including antioxidant and antibacterial activity.
More Related Videos
10:25Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements
Published on: June 28, 2016
13:09Rapid Model to Evaluate the Anti-Obesity Potential of a Combination of Syzygium aromaticum Clove and Cuminun cyminum Cumin on C57BL6/j Mice Fed High-Fat Diet
Published on: July 31, 2021
Related Concept Videos
Response Surface Methodology
The process of RSM involves several key steps:
Solution Equilibrium and Saturation
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
