April 22 - 26, 2024
Seattle, Washington
May 7 - 9, 2024 (Virtual)

Event Supporters

2024 MRS Spring Meeting
SB06.03.15

Modifying Bio-Ingredients within an Integrated Food Printer using an In-Situ Corona Discharge Non-Thermal-Plasma Approach: A Step Toward Creating Innovative Methods for Characterizing Engineered Food Materials and Biomedicine

When and Where

Apr 23, 2024
5:00pm - 7:00pm
Flex Hall C, Level 2, Summit

Presenter(s)

Co-Author(s)

Kaiyu Vang1,Derek Xiong1,David Ryman1,Edbertho Leal-Quiros2,Saquib Ahmed3,Sankha Banerjee1,4

California State University, Fresno1,University of California, Merced2,Buffalo State College3,University of California, Davis4

Abstract

Kaiyu Vang1,Derek Xiong1,David Ryman1,Edbertho Leal-Quiros2,Saquib Ahmed3,Sankha Banerjee1,4

California State University, Fresno1,University of California, Merced2,Buffalo State College3,University of California, Davis4
The present research is focused on pioneering new in-situ non-thermal plasma treatment techniques for 3D printed bio-ingredients based on starch. Thanks to its natural abundance and cost-effectiveness, starch emerges as a highly pertinent raw material for substituting synthetic polymers in various applications. It enjoys a reputation for being non-toxic, biocompatible, and biodegradable, making it a secure choice for applications in the biomedical, food, and packaging sectors. Utilization of starch as a foundation for stabilizing, integrating, or releasing bioactive substances with applications as bioactive compounds incorporated within starch matrices in the pharmaceutical industry, with a particular emphasis on their use in orally disintegrating films. These methods aim to customize the attributes of the starch granule-surface proteins (SGSP). The study also involves assessing continuous and discontinuous gluten networks formed due to the interaction of SGSPs with quasi-static corona discharge plasma conditions. Additionally, the research investigates the bonding characteristics of starch-based bio-ingredients based on plasma current-voltage behavior. The surface of the cured starch-based samples will undergo profiling for characterization. The binding properties, gluten network formation, and porosity characteristics will be examined through electron microscopy for microstructural evaluation. Furthermore, advanced hybrid machine learning models will be developed in conjunction with analytical techniques and empirical datasets to create strategies for modifying both the surface and bulk properties of these materials.

Keywords

biomaterial | chemical composition | in situ

Symposium Organizers

Neel Joshi, Northeastern University
Eleni Stavrinidou, Linköping University
Bozhi Tian, University of Chicago
Claudia Tortiglione, Istituto di Scienze Applicate e Sistemi Intelligenti

Symposium Support

Bronze
Cell Press

Session Chairs

Eleni Stavrinidou
Claudia Tortiglione

In this Session