Progress 05/01/22 to 04/30/23
Outputs Target Audience:The aim of this project is to develop a novel proof of concept additive processing method for creating plant protein-based fish analogs. This endeavor will also contribute to fundamental scientific knowledge about biopolymer physicochemical properties and aid in the development of bio-inks for food additive manufacturing. Additionally, the project will develop computational tools that use numerical simulations and data-driven algorithms to facilitate the development of the new processing technology. The primary audience for this project includes academics, industrial scientists, and engineers interested in food development and processing technologies based on alternative proteins. Furthermore, scientific communities interested in the fundamental physicochemical properties of biopolymers and computational fluid dynamics for free surface flows will also benefit from this research. Findings from this project will be disseminated through peer-reviewed papers and presentations at scientific and professional meetings. Changes/Problems:
Nothing Reported
What opportunities for training and professional development has the project provided?One post-doc (senior scientist) was hired and joined the project in July 2022, the post-doc researcher has worked on the development of computational tools related to this project. In addition, a self-funded master's student participated the project and was involved in evaluating the physicochemical properties of bio-inks early on in this project. How have the results been disseminated to communities of interest?Part of the data-driven approach that evolved from this project was shared at a recent AOCS annual conference in an invited talk. What do you plan to do during the next reporting period to accomplish the goals?In the next phase, the optimized protein-polysaccharide system will be laminated using layer-by-layer printing - the instrument has been assembled in our lab. However, before up-scale production, there are still some key benchmarks to consider during the printing process, such as the time-resolved gelling behavior, internal structure, water and oil holding capacity, and the orientation change of fibrous structure. To this end, the appearance, texture, and cookability should also be considered to increase the printing accuracy and reliability in the following studies. More specifically, we will use post hoc strategies to refine the protein-polysaccharide formula during and after laminating by changing polymer concentration and mass ratio, as well as solution conditions (pH, ionic strength, and temperature). From the modeling side, we will incorporate more features to the current model to better assist the modification and optimization of the processing development. Lastly, and most importantly, we will start creating fish analogs on our newly assembled benchtop testing rig, and characterize the structure-to-texture relationship over a wide range of processing conditions and bio-inks.
Impacts What was accomplished under these goals?
Towards Aim 1 To construct the bio inks using bottom-up strategy, the physicochemical properties of various plant-derived proteins and polysaccharides have been systematically investigated in our study. In particular, the solubility and zeta-potential of faba bean protein (M25010, AGT), pea protein (M22998, AGT), and lentil protein (M17399, AGT), as well as pectin, carrageenan, and xanthan gum were compared at different pH levels. Accordingly, pea protein (10 - 15 wt.%) and citrus pectin (0.1 - 1 wt.%) were chosen to formulate the phase-separated polymer mixture. Transglutaminase (0.1 - 2.5 wt.%) was also used to optimize the texture properties of protein-polysaccharide gels. The result from screening trials shows that the combination of 10 wt.% pea protein, 0.5 wt.% pectin, and 2 wt.% transglutaminase endowed the bio inks with the similar texture attributes of real salmon. Meanwhile, w-3 enriched flaxseed oil (0.5 - 1 wt.%) was successfully encapsulated in the protein-polysaccharide block structure. It should be noted that the hardness, springiness, and chewiness of pea protein-pectin gels can be harnessed by changing the temperature (40 - 55 ?) and ionic strength (e.g., 5 - 50 mM for CaCl2 and 50 - 300 mM for NaCl) of protein-pectin mixture. Towards Aim 2 and 3 We developed and successfully validated a computational model for slot coating, which was tested across a wide range of processing conditions to identify the optimal processing region for various bio-ink material properties. The model also incorporates a complex phase separation process based on the laws of mass conservation and thermodynamics, enabling accurate predictions of texture formation during the laminating process. As a result, this model will offer valuable insights into the interplay between processing conditions and material properties, facilitating the optimization of bio-ink formulations and the development of the proposed processing technology. Lastly, we have built the bench-top coating rig which is ready to test on various bio-inks from Aim 1.
Publications
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2023
Citation:
Lu, J., Ubal, S., Corvalan, M. C., (2023, Apr. 30 - May 3) Using physics-informed neural networks on inversed problems in food materials. AOCS 2023 Annual Meeting & Expo, Denver, CO, United States
|