Physicochemical Indicators Associated with Predicted Microbial Stability of Selected Nigerian Street-Vended Foods: Moisture, Ash, and pH Profiles and Their Public Health Implications
DOI:
https://doi.org/10.4314/cps.v13i8.1Keywords:
Street-vended foods, Food microbiology, Physicochemical indicators, Predicted microbial stability, Spoilage susceptibility, Moisture–pH interaction, Foodborne risk, Shelf-life assessment, Environmental food exposure, Public health microbiology, Ready-to-eat foods, Resource-limited food safety monitoringAbstract
Street-vended foods constitute a major component of urban diets in many developing regions; however, their physicochemical quality and spoilage susceptibility remain inadequately characterized. Because direct microbiological enumeration was not performed, physicochemical parameters were used as indirect indicators associated with microbial spoilage susceptibility. This study evaluated the physicochemical properties and inferred microbial stability of selected ready-to-eat Nigerian street foods using moisture content, ash content, and pH as key shelf-life indicators. Food samples were categorized into fried products, bakery items, and fermented/starch-based foods and analyzed using standard oven-drying, dry ashing, and potentiometric pH methods. Data were analyzed using descriptive statistics and one-way ANOVA at p < 0.05. Physicochemical parameters were interpreted within a predictive microbiology framework to infer spoilage susceptibility and microbial persistence potential. Moisture content varied markedly among samples (12.8–74.6%), with fermented foods exhibiting the highest moisture levels, suggesting increased susceptibility to physicochemical deterioration and spoilage under ambient conditions. Fried and bakery products showed intermediate moisture values, reflecting processing-dependent dehydration and formulation effects. Ash content ranged from 1.3–2.9%, indicating variability in mineral composition and possible environmental exposure during processing and vending practices. Distinct pH differences were also observed across food groups, with fermented foods showing acidic pH values (4.0–5.2), whereas fried and bakery foods remained near neutral (5.8–6.6), conditions commonly associated with enhanced microbial survival potential.
Integrated assessment demonstrated that spoilage susceptibility in street-vended foods is influenced by the combined effects of moisture availability and acidity rather than by any single physicochemical parameter. Moisture–pH interaction patterns suggested that foods with elevated moisture content and near-neutral pH may present increased spoilage susceptibility under ambient storage conditions, whereas acidic fermented products displayed comparatively improved predicted stability despite high moisture content.
Overall, the findings highlight the importance of physicochemical indicators as rapid, low-cost tools for preliminary assessment of food quality and inferred spoilage risk in resource-limited settings. The study further emphasizes the relevance of moisture–pH interactions in understanding shelf-life behavior and supporting improved monitoring of street-vended food safety.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Kanayo Samuel Okonji (Author)

This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
Similar Articles
- Eteyen Anthony Uko, Imaobong Timothy Adenugba, Microbiological Analysis, Antibiogram and Different Washing Treatments of Reusable Plastic Bottles Used in Packaging Food Products Within Ikot Ekpene Metropolis , Communication In Physical Sciences: Vol. 13 No. 7 (2026): Volume 13, Issue 7
- Chidumebi Uzoho, The Role of Contaminated Water in Food Poisoning: An Assessment of Agricultural and Processing Practices , Communication In Physical Sciences: Vol. 12 No. 3 (2025): VOLUME 12 ISSUE 3
- Kingsley Ochommadu Kelechi , Onwubuariri Nnamdi Chukwuebuka, Chiazor Faustina Jisieike, Ezere, Uchechi Ahunna, Muyiwa Michael Orosun, Chisom Loveth Kelechi, Health Risk Assessment of Heavy Metal Contamination in Water Sources at Michael Okpara University of Agriculture , Communication In Physical Sciences: Vol. 12 No. 3 (2025): VOLUME 12 ISSUE 3
- Felix Chinedu Ugwu, Aimola, Amos Ayodele, Rita, Mizilafe Uwumagbe, Badams Sanni Latifat, Enhancing Transparency in Educational Data Mining: Applying Explainable AI to Analyze Student Behavior and Learning Patterns , Communication In Physical Sciences: Vol. 13 No. 3 (2026): Volume 13 Issue 3
- Paschal O. Iniaghe, Chimere Ezekwe, Per- and Polyfluoroalkyl Substances and Waste Management in Nigeria: A Review , Communication In Physical Sciences: Vol. 13 No. 3 (2026): Volume 13 Issue 3
- M. Musah, M. M. Ndamitso, H. Yerima, J. T. Mathew, G. O. Iwuchukwu, Nutritional Assessment of Vigna unguiculata sub spp. sesquipedalis Seeds , Communication In Physical Sciences: Vol. 5 No. 4 (2020): VOLUME 5 ISSUE 4
- Babatunde Ogunyemi, Quantum Chemical Insights into the Antioxidant Mechanisms of Luteolin and Isorhamnetin: Elucidating Structure-Reactivity Relationships, Pharmacokinetics, and Toxicity for Therapeutic Potential , Communication In Physical Sciences: Vol. 12 No. 3 (2025): VOLUME 12 ISSUE 3
- Gabriel Chukwuka Chuks Ndinwa, Awareness, Risk Perception, and Behavioral Responses to Microplastics in Food Packaging: A Structural Equation Modeling Analysis of University Students in Delta State , Communication In Physical Sciences: Vol. 13 No. 6 (2026): VOLUME 13 Issue 6
- Emurode Williams, Lawrence Abakah, Aniedi Ojo, Chidinma Jonah, AI-Driven Analysis of Information Processing Capacity and Financial Stability in Delegated Asset , Communication In Physical Sciences: Vol. 9 No. 4 (2023): VOLUME 9 ISSUE 4
- Adebayo Adegbenro, Arinze Madueke, Aniedi Ojo, Cynthia Alabi, AI-Driven Wealth Advisory: Machine Learning Models for Personalized Investment Portfolios and Risk Optimization , Communication In Physical Sciences: Vol. 8 No. 4 (2022): VOLUME 8 ISSUE 4
You may also start an advanced similarity search for this article.



