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05 November 2025 | Story Martinette Brits | Photo Supplied
Opus Cactus
Prof Maryna Boshoff from the Department of Sustainable Food Systems and Development, Lerato Mamabolo (UFS graduate, now employed at OPUS Cactus), and Sotirios Pilafidis, Head of Research and Development at OPUS Cactus, at the XI International Congress on Cacti as Food, Fodder and Other Uses, hosted by the FAO-ICARDA CactusNet in Tenerife, Canary Islands.

The University of the Free State (UFS) has formalised a collaboration with OPUS Cactus, a pioneering biotech company focused on sustainable cactus-based farming and biorefineries in semi-arid regions. This partnership builds on OPUS Cactus’ expansion at the historic Waterkloof Research Station near Bloemfontein and combines the UFS’ academic expertise with industry innovation to promote climate-smart agriculture and economic development.

OPUS Cactus, led by Joeri van den Bovenkamp-Hofman, CEO, and Sotirios Pilafidis, Head of Research and Development (R&D), specialises in transforming marginal, non-arable land into productive, resource-efficient ecosystems by cultivating the drought-tolerant Opuntia cactus. This versatile biomass supports renewable bioenergy, animal feed, food production, fermentation feedstock, and sustainable biomaterials, while contributing to carbon capture and climate mitigation efforts.

“Our mission is to unlock the full potential of Opuntia biomass for sustainable bioenergy, food, and biomaterials, advancing regenerative agriculture and climate action,” says Van den Bovenkamp-Hofman. OPUS Cactus operates dual hubs: its headquarters and R&D lab in Groningen, the Netherlands, and the flagship 1 000-hectare Waterkloof Research Centre in the Free State. The Waterkloof facility serves as a commercial farm, research platform, and demonstration site for regenerative farming techniques.

The UFS collaboration involves multiple departments, including Sustainable Food Systems and Development, Soil, Crop and Climate Sciences, and Microbiology and Biochemistry. Profs Maryna Boshoff and Carlien Pohl-Albertyn, alongside Dr Gesine Coetzer, provide academic leadership in the partnership.

Prof Boshoff explains, “This industry-academia collaboration aims to develop innovative projects utilising cactus-based products. It builds on decades of cactus research at the UFS, enabling the translation of scientific knowledge into real-world impact through scale-up and commercialisation.”

 

Bridging academic research and commercial innovation to promote climate-smart agriculture

At the core of the partnership is the Waterkloof Research Centre, home to 42 spineless Burbank cactus pear cultivars. The facility acts as a ‘living laboratory’, integrating empirical research with commercial-scale farming. “Waterkloof now offers students and researchers access to operational infrastructure that cannot be replicated in conventional academic settings,” says Prof Boshoff.

Continuing projects at Waterkloof include biogas production through an anaerobic digester, regenerative agriculture practices such as cover cropping and reduced tillage, advanced plant biotechnology to breed superior cultivars, fermentation research for alternative proteins, and the development of novel fermented foods and sustainable biomaterials.

The collaboration also plays a critical role in conserving Opuntia genetic diversity and evaluating cultivars across South Africa’s varied agro-ecological zones. “Research done by UFS and ARC scientists on cultivar selection and cultivation is applied and scaled up through OPUS Cactus’ commercial operations,” Prof Boshoff adds.

This partnership provides valuable hands-on experience and career pathways for postgraduate students and young researchers. “We offer internships and employment opportunities, with several recent UFS graduates already joining our R&D team,” says Pilafidis. “We actively seek motivated graduates passionate about sustainable agriculture and bioengineering.”

By converting semi-arid landscapes into productive, carbon-sequestering ecosystems, the UFS-OPUS Cactus collaboration exemplifies how scientific innovation, entrepreneurship, and environmental stewardship can drive climate resilience, food security, and sustainable economic growth.

“OPUS Cactus is a win for the environment, communities, and business alike,” concludes Van den Bovenkamp-Hofman.

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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