Data from: Enhanced Crystallisation Kinetics of Edible Lipids through the Action of a Bifurcated Streamer
Description
The processing of healthy foods remains a challenge and any technology with the ability to tailor the physical properties of new materials is in demand. High-intensity ultrasound (HIU) has been identified as a useful processing technique for such activities particularly for edible lipids. HIU has been known to alter the crystallisation kinetics and in turn the resultant physicochemical properties for specific food applications. The role of cavitation dynamics during treatment of oils with HIU is of interest, with the knowledge gained allowing for insight into the complex and still undefined mechanism of action. To this end, the crystallisation kinetics of an edible lipid were investigated in the presence of several distinctly different cavitation conditions. Several cavitation clusters, including a bifurcated streamer (BiS), located on the surface of a piston-like emitter (PLE) were studied, each generated by a specific ultrasonic power level. Only samples crystallised at a low supercooling (ΔTSC) value display significant differences in induction time for each of the selected HIU powers, at least 5 minutes earlier than without exposure to HIU. Substantially better energy efficiencies were seen for the BiS regime (ΔTSC = 5 °C) which coincided with maximal crystal growth rates. An increase in melting enthalpy and elastic modulus is reported in the presence of HIU for all crystallisation temperatures, this effect is larger overall with increasing ultrasonic power. In addition, sonicated samples in the presence of the BiS event were composed of fewer smaller crystals compared to higher HIU powers after 60 minutes at 30 °C. Bubble dynamics recorded during a 10 s sonication period exhibited a greater acoustic attenuation effect for the highest ultrasonic power (75 W). The results suggest that the dynamics of the cluster and the presence of the BiS event are important in terms of energy efficiency and the physical properties of the crystallised lipid material.
Author ORCID Identifier
Silvana Martini https://orcid.org/0000-0002-5870-9931
Peter Birkin https://orcid.org/0000-0002-6656-4074
Tadd Truscott https://orcid.org/0000-0003-1613-6052
OCLC
1300759563
Document Type
Dataset
DCMI Type
Dataset
File Format
.txt, .arc, .rsl, .xlsx, .xls, .csv, .dat
Viewing Instructions
See ReadMe file on Ag Data Commons.
Publication Date
9-13-2021
Funder
USDA, National Institute of Food and Agriculture (NIFA)
Publisher
Ag Data Commons
Award Number
USDA, National Institute of Food and Agriculture (NIFA) 2017-67017-26476
Award Title
Understanding bubble dynamics in sonicated edible lipids to improve their physiochemical properties
Methodology
Solid fat content (SFC) measurements collected using NMR Minispec mq20 series (Bruker, California, USA). This data is fitted to the Gompertz kinetics model which yields the induction time for crystallisation (λ) and the maximal crystal growth rate (μ) Hardness data collected using a Texture Analyser (model TA, XT Plus, Texture Technologies Corp., Scarsdale, NY, USA). Melting behaviour analysed using differential scanning calorimeter (DSC-TA Instruments, New Castle, DE, USA). Viscoelastic properties measured using magnetic bearing rheometer (model AR-G2, TA Instruments, New Castle, DE, USA). Crystal microstructure was determined using a polarised light microscope (PLM-Olympus BX 41, Tokyo, Japan) fitted with a digital camera (Infinity 2, Lumenera Scientific, Ottawa, Canada). Hydrophone data collected using an oscilloscope or a DAQ card and was processed using VB2010 software utilising NI Measurement studio.
Language
eng
Code Lists
See ReadMe file on Ag Data Commons.
Disciplines
Food Science
License
This work is licensed under a Creative Commons Attribution 4.0 License.
Identifier
https://doi.org/10.15482/USDA.ADC/1523110
Recommended Citation
Martini, Silvana; Birkin, Peter; Truscott, Tadd. (2021). Data from: Enhanced crystallisation kinetics of edible lipids through the action of a bifurcated streamer. Ag Data Commons. https://doi.org/10.15482/USDA.ADC/1523110.