Researchers examine micromechanical behavior of plant tissues to improve food production

QUT researchers are working to design faster, cheaper, and better ways to store food. Published in journal PLOS ONE, researchers used QUT's supercomputing facilities to examine the micromechanical behavior of plant tissues and how biological cells behave while dehydrated or dried.

Lead investigator Dr Charith Rathnayaka is a computational scientist from QUT's Faculty of Science and Engineering investigating the physics, mathematics, and biology of agricultural cell structures to improve food production.

"By developing the computational model, it is possible to estimate how the cells are being damaged when they are being processed for preservation, storage or packaging," Dr Rathnayaka said.

"This innovation has the potential to influence the future of food drying processes globally in terms of reducing cost, optimizing food processing, energy conservation and increasing dried food shelf life."

Key findings: -

  • Study looks at how plant cells behave under different types of mechanical forces                                 
  • Research involved two-step simulation and experimental stages                                                               
  • The computational model developed conclusively demonstrated it can simulate the micromechanical behavior of dried plant cells                                                                                       
  • Provide insight on improving design of industrial machinery for food drying processes                           
  • Implications to move beyond plant cells to biomedical and human cosmetic applications.

Dr Rathnayaka said the findings of this study could lead to better designs for industrial drying of fruits, vegetables, or any other plant biological material.

As an example, he described the process by using fresh fruit such as apples which were simultaneously dried and imaged and then compared against the predictions from the simulations.

The experimental data revealed microscopic tissues of the apple and the differences between fresh conditions and extremely dried conditions, with imagery featured in journal Soft Matter. (pics)

One specific reason for using apple as representative plant-food material was due to the abundant availability of experimental findings. It showed that by controlling the processing conditions such as temperature, pressure, humidity and processing speed, it is possible to control the damage on apple cells to extract the best nutritional value."

Dr Charith Rathnayaka, Lead Investigator and Computational Scientist, Queensland University of Technology Faculty of Science and Engineering

He said the results also showed that at extreme dryness levels, the cells naturally get damaged even without processing.

"Due to the high pressure in the cells at fresh conditions, they are highly vulnerable to higher forces that take place during processing such as cutting, packing, or extruding," he said.

"This provides valuable insights for not only processing apples but many other comparable fruits and vegetables."

Dr Rathnayaka said the study's findings have implications for further research into food processing under drought conditions.

He said there is a need to find innovative ways to investigate harvesting and processing produce under extreme climatic conditions.

"Currently there is a research gap in accurately evaluating and predicting drought and heat resistance of plant-food tissues," he said.

"The COVID-19 pandemic has placed even more of an emphasis on the ever-growing importance of plant-food security and more efficient ways to quantify and predict the performance of agricultural produce during droughts."

Source:
Journal reference:

Rathnayaka, C. M., et al. (2020) A three-dimensional (3-D) meshfree-based computational model to investigate stress-strain-time relationships of plant cells during drying. PLOS ONE. doi.org/ 10.1371/journal.pone.0235712.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of AZoLifeSciences.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Novel Approach to Predict and Optimize CAR-T Cell Therapy