Sep 2026· RESEARCH JOURNAL OF FOOD SCIENCE AND QUALITY CONTROL· 0 citations
Abstract
Polycyclic aromatic hydrocarbons (PAHs) are carcinogenic contaminants formed endogenously
during high-temperature processing of protein-rich foods. This investigation evaluated the
occurrence and dietary risk associated with four priority PAHs — benzo[a]pyrene (BaP), chrysene
(Chr), benz[a]anthracene (BaA) and benzo[b]fluoranthene (BbF), collectively termed PAH4 — in
traditionally processed fish and meat foods sampled from markets across six geopolitical zones of
Nigeria. A total of 60 samples comprising smoked catfish, smoked tilapia, smoked mackerel, suya,
kilishi and balangu were collected and analysed by high-performance liquid chromatography with
fluorescence detection (HPLC-FLD) following solid-phase extraction (SPE) clean-up. BaP
concentrations ranged from 0.4 to 33.9 µg/kg across matrices, with smoked mackerel from Rivers
State recording the highest mean value (12.1 ± 3.4 µg/kg). Traditional Nigerian grilled meat
products exhibited markedly lower but still concerning PAH4 concentrations. Kilishi recorded
higher BaP levels (5.1 µg/kg) than suya (6.2 µg/kg) while balangu showed lowest BaP value
(4.7±1.5µg/kg). The EU regulatory maximum of 2 µg/kg was exceeded in 74.2% of smoked fish
samples and 41.8% of grilled meat samples. In total PAH4, Rivers State recorded the highest mean
PAH4 concentrations (44.2 µg/kg), Cross River State also demonstrated elevated contamination
levels (41.7 µg/kg). In contrast, the FCT Abuja recorded comparatively lower levels (22.1 µg/kg).
PAH4 sum exceeded 12 µg/kg in 68.4% of smoked fish products. In the case of fuel type, Rubber
wood and sawdust frequently used by artisanal processors because of their low cost and wide
availability generated PAH4 concentrations 2.3–2.9 fold higher than hardwood iroko and 2.9–3.7
fold higher than coconut shell charcoal. Significant correlations were found between PAH4
burden and fuel type (H = 41.3, p < 0.001), fat content (r = 0.98, p < 0.001) and processing
temperature (r = 0.94, p < 0.001). These data underline an urgent need for harmonised Nigerian
food safety regulations governing PAH limits in thermally processed protein foods, improved
traditional smoking technologies, and targeted consumer risk education.
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.· Journal of Systems and Softw...· 111 citations· ⚡8
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.· Journal of Systems and Softw...· 78 citations· ⚡6
This paper highlights the challenges to conduct proper affect-related studies with psychology, provides a comprehensive literature review in affect theory, and proposes guidelines for conducting psychoempirical software engineering.
D. Graziotin, Xiaofeng Wang, P. Abrahamsson· SSE@SIGSOFT FSE· 56 citations· ⚡4
This study conducts a multiple case study on twenty European software startups and proposes a prototype-centric learning model in early stage software startups, and identifies factors that occur as barriers but also facilitators for prototyping in earlystage software startups.
Anh Nguyen-Duc, Xiaofeng Wang, P. Abrahamsson· International Conference on...· 44 citations· ⚡5
It is demonstrated that linker-free PROTACs can outperform traditional designs, marking a paradigm shift in PROTAC development for targeted protein degradation.
Pinal, a 16-billion-parameter foundation model that produces protein candidates from natural-language functional descriptions, supports natural language as a high-level interface for candidate generation in protein design, enabling programmable exploration with reduced reliance on manually specified structural or seque...
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.