Performing Department
Food Science
Non Technical Summary
The increase in the consumption of fat and energy-rich foods, accompanied with a lack of physical activity, has resulted in over 60% of the American population being overweight or obese. Because obesity is closely linked to other metabolic disorders, as well as cancers, it has become the second leading cause of death and disease in the United States, with corresponding medical costs of more than $162 billion each year. New York State ranks number two in the nation for both obesity and associated medical costs. One way to overcome Obesity challenge is to formulate and produce reduced-fat products. However, since fat plays key roles in the product properties, reducing and removing 50% of the fat from a product will result in undesirable sensory attributes and adversely affect the product taste, texture, physical appearance and mouthfeel. Therefore, to solve this problem, we need to utilize new techniques which enable us formulate reduced-fat products with desirable sensory attributes and appealing for the consumers. Examples include Mayonnaise, salad dressing, spreads and butter. All of these products are composed of emulsions; emulsions are simply a dispersion of two immiscible liquids in each other.Current techniques to formulate these emulsions lack the required precision and control to provide sufficient data for new formulation of reduced-fat products. To solve this challenge, we will utilize a novel technique "Microfluidics" (developed by the project director at Harvard University three years ago), to form emulsions with identical size and shape. This technique enable us to study the effect of every single ingredients within the product formulation and eventually results in the best combination of the ingredients for the reduced-fat product. We will utilize Microfluidic techniques to produce emulsion-based foods, such as mayonnaise, using natural ingredients. The exquisite precision offered by this novel technique enables us to design, study and develop ultra-low fat mayonnaise with a Green Label without compromising traditional texture, shelf life stability, or taste. We will employ a combination of food-based ingredients and healthy oils to formulate low calorie mayonnaise. Mayonnaise is one example that we will start to formulate, once we develop the platform for formulation of low-fat Mayonnaise, we will customize and tailor this platform for production of other reduced-fat products such as butter, spreads and variety of salad dressing. We will investigate and improve the shelf-life stability and perform sensory evaluation on these products by a systematic approach using microscopy and analytical methods as well as tasting panels.
Animal Health Component
70%
Research Effort Categories
Basic
20%
Applied
70%
Developmental
10%
Goals / Objectives
Utilize Microfluidic techniques to produce emulsion-based foods, such as mayonnaise, using natural ingredients. The exquisite precision offered by this novel technique enables us to design, study and develop ultra-low fat mayonnaise with a Green Label without compromising traditional texture, shelf life stability, or taste. To produce low-fat food product, we use mayonnaise as a model food product, once we developed our microfluidic-based technique, we can employ our approach to design other low calorie food product. We will employ a combination of food-based polymers and emulsified healthy oils to formulate low calorie mayonnaise. Investigate the shelf-life stability and perform sensory evaluation on these products by a systematic approach using microscopy and analytical methods as well as tasting panels. Measure the amount of free fatty acid and quantify the fat uptake based on each formulation to result in the best tasting product with low calorie. Examine the effects of fortification with natural antioxidants (i.e. vitamin E and white tea) on sensory attributes and chemical stability of mayonnaise.
Project Methods
We will employ glass-based microfluidic devices, built in our lab, to produce monodisperse emulsions (mayonnaise as a model product) with ultra-low fat contents. Although, to produce emulsion and simulate the physicochemical properties of mayo, it is indispensible to use oil in the formulation, using hydrocolloids and formulating the product with microfluidic will enable production of ultra-low fat product. We will use mayonnaise as an example for reducing fat content, however, once we established the protocol and procedure using Microfluidics, we will be able to tailor our approach towards other food products and customize the approach to reduce the amount of fat within food products without compromising the sensory attributes of the food including taste, flavor, physical appearance and texture. Microfluidics enable us to systematically study emulsions physicochemical properties and create stable products without chemical additives, we exploit the exquisite flow control afforded by microfluidics to control the emulsion stability. To fabricate emulsions with new formulation including natural and beneficial ingredients and minimized fat contents, we will utilize glass capillary devices.We use a glass capillary microfluidic device to prepare mono disperse single anddouble emulsion drops. The device consists of two tapered cylindrical capillaries inserted into the opposite ends of a square capillary, whose inner dimension is larger than the outer diameter of the cylindrical capillaries. The orifices of injection capillaries are in the range of 20 to 250 μm in diameter. We will use glass surface modification methods to render the inner surface area of injection and collection capillaries hydrophobic and hydrophilic respectively. This configuration enables us to accurately align both cylindrical capillaries. We use one cylindrical capillary to inject the innermost aqueous phase. We inject this oil from the other capillary, forcing it to flow in the same direction as the inner aqueous phase, through the interstices between the cylindrical and square capillaries. We will use syringes and injection pumps to inject the oil and water containing surfactant solutions. The average water phase and oil phase flow rates will be in the range of 100 mL/hr to 10,000 mL/hr. The drop generation frequency using microfluidic device is in the range of 1000 to 10,000 Hz, therefore, we will use a fast-camera to record and analyze the emulsion production and investigate the effects of natural and beneficial ingredients, such as antioxidants (carotene and alpha-tocopherol), inulin and Konjacas hydrocolloids, denatured whey proteins or protein-hydrocolloid conjugates asan emulsifier, and vegetableoil with high degree of unsaturated lipids. After formation of emulsions, we will remove and tune the water content of the product to the appropriate oil in water volume fraction and simulate the exact texture and rheology of the mayo. We hypothesize that using microfluidics, we can identify most stable emulsions with desirable physicochemical attributes using low-calorie and health beneficial ingredients. To test our hypothesis, we will produce emulsions with different oil and surfactant and hydrocolloid ratios and investigate their physicochemical stability as a function of time. To simulate the exact rheology of the produced mayo, we will first characterize mayo samples obtained from market using Rheometer and other techniques and utilize these data as our standard. To characterize the stability, structure, and composition of the mayonnaise, we will use confocal and bright field microscopies, rheology, dynamic light scattering, zeta potential, GC-MS, FT-IR, and UV-Vis techniques. In addition, we will perform sensory evaluations to identify the most acceptable formulation. To perform sensory tests and systematic evaluations of low-fat mayo, we will collaborate with Professor Robin Dando at the Department of Food Science at Cornell University. Finally, we will screen the efficacy of different formulations for minimizing calorie intake. We will utilize in vitro digestion models under conditions that simulate the human gasterointestinal (GI) tract. We will subject the produced mayonnaise to simulated GI tract fluids, including oral, gastric, and intestinal phases, and measure the rate of lipid digestion by determining the amount of free fatty acids released from the lipid phase due to lipase activity using analytical methods such as pH-stat and HPLC techniques. To evaluate the absorption of fat components across the intestinal epithelium, we will use physical methods simulating the intestinal fluid or uptake by cell cultures (Caco-2 cells), to mimic the human intestinal epithelium.