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28 April 2023 | Story Leonie Bolleurs | Photo Supplied
Schae-Lee Olckers’
UFS PhD student and food scientist Schae-Lee Olckers’ research could contribute to a stable supply of good quality wheat and bread, even in the face of climate change.

Follow your passion in order to find your purpose. This is the mantra of food scientist and University of the Free State (UFS) PhD student Schae-Lee Olckers, whose research is set to improve wheat quality by identifying which types of wheat are better able to tolerate stress, and which proteins are most important for producing high-quality bread. 
 
“By grasping this, it is possible to ensure that we continue to have a stable supply of good quality wheat and bread, even in the face of climate change,” says Olckers, who believes wheat is one of the most important food grains in the human diet, and one of the most important staple cereal crops in the world.

Her PhD study, ‘The influence of abiotic stress on gluten protein and baking quality in bread wheat’, under the supervision of Dr Angie van Biljon and Prof Maryke Labuschagne in the Department of Plant Sciences, and Prof Garry Osthoff in the Department of Microbiology and Biochemistry, is investigating how different levels of heat and drought stress – mostly due to climate change – affect the gluten protein composition of high-yield bread wheat.

Olckers is a food scientist at StartWell Foods (Pty) Ltd, a non-profit organisation that produces high-quality extrusion products for feeding schemes around the country. The products help to eliminate stunted growth among children.

Improving wheat breeding programmes
This research could help us find ways to adapt to climate change and continue to produce high-quality wheat and bread for people around the world. – Schae-Lee Olckers

Her research focuses on examining different types of wheat and investigating how proteins are affected by stressors like heat and drought, to understand how these stressors impact the quality of bread. She uses new proteomic methods to look at the different proteins in the wheat flour, to gain a better appreciation of how gluten proteins react to stress.

In this study Olckers is able to see how the proteins change in the various wheat cultivars, helping us to understand how the different types of wheat perform in baking, and how the proteins affect the final product.

She collaborates with the International Maize and Wheat Improvement Center (CIMMYT) in Mexico, that releases new wheat cultivars for developing countries. Their aim is to develop wheat cultivars that maintain their quality in different environments.  To investigate the performance and characteristics of the seeds, both in the field and in the laboratory, CIMMYT did the field trials, quality assessment, and supplied the seeds for high-performance liquid chromatography (HPLC) and proteomics analysis. 

Finding ways to adapt to climate change

She believes that understanding how these stressors impact the production of bread-baking quality in wheat will help scientists gain important insights into how climate change affects our food supply. 

“Taking into consideration the current and projected intensifying heat and water deficit stresses, it is crucial to improve the understanding of these phenomena in order to implement new breeding strategies for sustainable wheat quality. This research could help us find ways to adapt to climate change and continue to produce high-quality wheat and bread for people around the world,” Olckers says. 

News Archive

Mathematical methods used to detect and classify breast cancer masses
2016-08-10

Description: Breast lesions Tags: Breast lesions

Examples of Acho’s breast mass
segmentation identification

Breast cancer is the leading cause of female mortality in developing countries. According to the World Health Organization (WHO), the low survival rates in developing countries are mainly due to the lack of early detection and adequate diagnosis programs.

Seeing the picture more clearly

Susan Acho from the University of the Free State’s Department of Medical Physics, breast cancer research focuses on using mathematical methods to delineate and classify breast masses. Advancements in medical research have led to remarkable progress in breast cancer detection, however, according to Acho, the methods of diagnosis currently available commercially, lack a detailed finesse in accurately identifying the boundaries of breast mass lesions.

Inspiration drawn from pioneer

Drawing inspiration from the Mammography Computer Aided Diagnosis Development and Implementation (CAADI) project, which was the brainchild Prof William Rae, Head of the department of Medical Physics, Acho’s MMedSc thesis titled ‘Segmentation and Quantitative Characterisation of Breast Masses Imaged using Digital Mammography’ investigates classical segmentation algorithms, texture features and classification of breast masses in mammography. It is a rare research topic in South Africa.

 Characterisation of breast masses, involves delineating and analysing the breast mass region on a mammogram in order to determine its shape, margin and texture composition. Computer-aided diagnosis (CAD) program detects the outline of the mass lesion, and uses this information together with its texture features to determine the clinical traits of the mass. CAD programs mark suspicious areas for second look or areas on a mammogram that the radiologist might have overlooked. It can act as an independent double reader of a mammogram in institutions where there is a shortage of trained mammogram readers. 

Light at the end of the tunnel

Breast cancer is one of the most common malignancies among females in South Africa. “The challenge is being able to apply these mathematical methods in the medical field to help find solutions to specific medical problems, and that’s what I hope my research will do,” she says.

By using mathematics, physics and digital imaging to understand breast masses on mammograms, her research bridges the gap between these fields to provide algorithms which are applicable in medical image interpretation.

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