Skip to content
#diffusion models Open access

Exploratory comparative screening of antibacterial activity of processed and unprocessed honeys against wild-type and drug-resistant bacterial strains

Oct 2026 · Journal of Medical Laboratory Science & Technology of South Africa · 29 references
Bee Products Chemical Analysis

Abstract

Background: Antimicrobial resistance (AMR) is a growing global health challenge requiring exploration of alternative antimicrobial agents. Honey has documented antibacterial properties, but activity varies by composition, and data on locally available honeys against drug-resistant pathogens remain limited. Aim: To compare the in vitro antibacterial activity of selected processed and unprocessed honeys against reference and drug-resistant bacterial isolates. Setting: The study was conducted in Limpopo province, South Africa, using locally sourced honey products. Methods: A laboratory-based experimental study evaluated four honeys, two unprocessed (A, B) and two processed (C, D), against Staphylococcus aureus, Escherichia coli, Pseudomonas aeruginosa, Streptococcus pyogenes and selected drug-resistant isolates, including methicillin-resistant S. aureus (MRSA), extended-spectrum β-lactamase (ESBL)-producing E. coli, carbapenem-resistant P. aeruginosa and Acinetobacter baumannii. Minimum inhibitory concentrations (MICs) were determined by broth microdilution, with disk diffusion used as a supplementary qualitative method. Data were analysed descriptively. Results: Minimum inhibitory concentrations ranged from 3.13% to 25% volume/volume. Unprocessed B and Processed D showed lower MICs against several organisms. No inhibition zones were observed for reference P. aeruginosa or S. pyogenes. Processed D produced the largest inhibition zone against MRSA (8 mm). Higher MICs were observed for A. baumannii across the honey samples. Conclusion: Selected honeys demonstrated variable in vitro antibacterial activity against reference and drug-resistant isolates. However, the absence of appropriate controls and compositional characterisation limits mechanistic and clinical interpretation. Contribution: This exploratory study provides preliminary data on the antibacterial activity of locally available honeys and supports further investigation using appropriate controls, chemical profiling and clinically relevant models.

View source

Similar papers

#computer vision Open access Jun 2016

Software Development in Startup Companies: The Greenfield Startup Model

The results are packaged in the Greenfield Startup Model (GSM), which explains the priority of startups to release the product as quickly as possible, and the need to shorten time-to-market, by speeding up the development through low-precision engineering activities.

Carmine Giardino, Nicolò Paternoster, M. Unterkalmsteiner et al. · 178 citations · ⚡14
#computer vision Open access Oct 2016

Software Startups - A Research Agenda

Software startup companies develop innovative, software-intensive products within limited timeframes and with few resources, searching for sustainable and scalable business models.

M. Unterkalmsteiner, P. Abrahamsson, Xiaofeng Wang et al. · 157 citations · ⚡17
#machine learning Review Open access Oct 2016

“Failures” to be celebrated: an analysis of major pivots of software startups

This study conducts a case survey study based on the secondary data of the major pivots happened in 49 software startups, and demonstrates that customer need pivot is the most common among all pivot types.

Sohaib Shahid Bajwa, Xiaofeng Wang, Anh Nguyen-Duc et al. · 127 citations · ⚡15
#computer vision Review Open access May 2015

A survey study on major technical barriers affecting the decision to adopt cloud services

The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.

Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al. · 111 citations · ⚡8
#computer vision Open access Feb 2018

Lean Internal Startups for Software Product Innovation in Large Companies: Enablers and Inhibitors

This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.

Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al. · 78 citations · ⚡6
#computer vision Conference Sep 2010

Exploring the Sources of Waste in Kanban Software Development Projects

The application of agile software methods and more recently the integration of Lean practices contribute to the trend of continuous improvement in the software industry. One such area warranting proper empirical evidence is a project’s operational efficiency when using the Kanban method. This short paper takes a new an...

Marko Ikonen, Petri Kettunen, Nilay V. Oza et al. · 67 citations · ⚡9

Related blog posts

MIT News · Artificial Intelligence Oct 15, 2026

AI model decodes the language cells use to communicate

A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.