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26 August 2025 | Story Martinette Brits | Photo Martinette Brits
From the left: Elisa Mosala (Dairy Assistant), Dr Analie Hattingh (Lecturer and Production Manager), Eline van der Velde (cheesemaking expert from the Netherlands), and Martha Kantoane (Dairy Assistant) on the UFS Experimental Farm.

Cheesemaking expertise from the Netherlands has given University of the Free State (UFS) students a unique taste of hands-on learning. From 10 to 22 August 2025, Eline van der Velde, a cheesemaking specialist and lecturer in food technology, spent two weeks at the UFS Paradys Experimental Farm teaching students, guiding dairy assistants, and working with staff to strengthen the university’s Dairy Processing Unit.

Supported by PUM – a Dutch volunteer organisation that connects international experts with local projects – her visit combined technical training with practical exposure, showing students the full process of transforming fresh milk into a range of cheeses.

 

Hands-on cheesemaking at the UFS

In interactive sessions, Van der Velde introduced students in the BSc Food Systems programme to the art and science of cheesemaking. They learned how to prepare paneer, halloumi, feta, mozzarella, and cottage cheese, while experimenting with flavoured varieties such as garlic-and-oregano and chilli cheese.

“I gave demonstrations on different types of coagulation and let the students try it out themselves. They asked great questions and enjoyed it so much that they wanted to come again for more practicals,” she said.

For many students, the opportunity was a first step into the practical realities behind food science. “It’s as if a whole world has opened up for our students,” said Dr Analie Hattingh, Lecturer and Production Manager at the Paradys Experimental Farm. “They don’t just hear about pH in theory – they can relate it to what they’ve seen and experienced here. That’s what prepares them for the workplace.”

“Due to food safety regulations all over the world, it is becoming increasingly difficult to take food science or food sustainability students into commercial factories. They don’t allow students or visitors anymore. At least with this facility here, our students can experience a real production environment and see how the industry works,” Dr Hattingh said. 

 

From farm girl to food technologist

Van der Velde’s passion for cheesemaking began on her uncle’s farm in the Netherlands, where she helped with milking and turning cheeses in storage. “Even though I grew up in the city, I think I’m more of a farm girl at heart,” she recalled.

Today, she teaches at an agricultural school and trains adults entering the food industry, while volunteering internationally through PUM. “I like to share knowledge – it’s not for me alone. That’s why I volunteer, to support projects across the world,” she explained.

 

Sustainability at the heart of the farm

The cheesemaking unit also forms part of the experimental farm’s commitment to sustainability. The cheeses are made from milk produced by Jersey cows on the farm, with careful attention to hygiene and quality. Byproducts are reused – whey is processed into ricotta, and the remainder is spread as fertiliser in the fields. “Nothing goes to waste,” Van der Velde noted.

Hattingh added that this integrated approach ensures that the farm serves as both an academic training ground and a model for sustainable food production. “We want to be self-sustaining and academically valuable, without competing with industry – to serve both the university and its students,” she said.

 

A shared learning journey

For dairy assistants Elisa Mosala and Martha Kantoane, working alongside Van der Velde and the students was equally rewarding. “It was nice, especially learning how to do different kinds of cheese,” said Kantoane.

Mosala agreed: “It was nice working with students and experiencing more every day. I learned new skills and got out of my comfort zone.”

Looking to the future, Van der Velde emphasised the value of involving students in the entire process – from milking to packaging and selling – so that they graduate with both knowledge and practical skills. She also believes in the potential of more international exchange: “These projects benefit both sides. Knowledge exchange in agriculture and food science is essential for building sustainable solutions worldwide.”

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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