Aller au contenu principal
Profil bibliographique

Biniam Kebede

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

128Publications signalées
2863Citations signalées
2Affiliations récentes

Les institutions déclarées

Les domaines associés

Meat and Animal Product QualityMicrobial Inactivation MethodsAdvanced Chemical Sensor TechnologiesFermentation and Sensory AnalysisFood composition and properties

Les publications récentes

Accès ouvert 2026 review OpenAlex

Legume intake on gut microbiome and glycemia in type 2 diabetes management: narrative review

Awlad Hossain, D. Agyei, Andrew Reynolds, Biniam Kebede

Legumes are rich in dietary fiber, plant proteins, micronutrients, and bioactive compounds, offering a sustainable and affordable addition to the diet. However, the extent to which legume-induced modulation of the gut microbiota contributes to glycemic regulation in type 2 diabetes (T2D), relative …

nz, bd, au, ca (code pays fourni par la source)

0 citations Frontiers in Nutrition
Accès ouvert 2026 article OpenAlex

Consumer Perceptions of Food Deterioration: White Mushrooms as a Case Study

Angie Homez‐Jara, Yuelin He, Lisa M. Duizer, Biniam Kebede et autres

Food waste reduction is a key strategy for promoting sustainability. Nevertheless, drivers for food waste at the consumer level remain unclear. Thus, this study aimed to (1) identify spoilage cues that drive consumer decisions to discard food; (2) map differences in consumer …

ca, us (code pays fourni par la source)

1 citation Journal of Food Science
2026 article OpenAlex

Detection of Adulteration in Manuka Honey with Low-Cost Honeys Using Untargeted Metabolomics and ATR-FTIR Fingerprinting: A Preliminary Study

Kaushila Kodikara, Biniam Kebede, Mandy Herbst‐Johnstone, Russell Frew

Detecting the adulteration of high-value honeys such as Ma̅nuka with lower-cost varieties is challenging due to similarities in their chemical profiles. This study employed untargeted MS metabolomic profiling and attenuated total reflectance Fourier-transform infrared (ATR-FTIR) spectroscopy to identify the adulteration of Ma̅nuka …

nz (code pays fourni par la source)

1 citation ACS Food Science & Technology
Accès ouvert 2026 article OpenAlex

Interpretable machine learning for origin classification of brazilian soybeans: A random forest and XAI-based approach

Khushboo Soni, Russell Frew, Biniam Kebede

eXplainable Artificial Intelligence (XAI) offers a powerful framework for enhancing the transparency and trustworthiness of machine learning models in highly regulated fields such as food traceability. In this study, we applied XAI techniques, SHAP (SHapley Additive exPlanations) and Partial Dependence Plots (PDPs), …

nz, ca (code pays fourni par la source)

1 citation Journal of Food Composition and Analysis
Accès ouvert 2026 article OpenAlex

Volatile evolutions during solid-state fermentation of oats by mono- and co-cultures: A Flavoromic approach using classical chemometric and machine learning techniques

Stella Green, Graham T. Eyres, Dominic Agyei, Nicholas Horlacher et autres

While solid-state fermentation (SSF) can enhance the bioactive potential of oats, the temporal dynamics of volatile compound formation, particularly in mixed microbial systems, remain poorly characterized. Such volatiles contribute not only to sensory attributes but also reflect underlying metabolic interactions during fermentation. …

nz, au, ca (code pays fourni par la source)

4 citations Food Chemistry
Accès ouvert 2025 article OpenAlex

The impact of consumer in-home cooking methods on the physicochemical, sensory, and nutritional attributes of plant-based meat analogues (PBMAs) and meat: a review

Inchara N. Yoganarasimhaswamy, Yashodha Panagodage, Dominic Agyei, Marcia English et autres

The global demand for Plant-based meat analogues (PBMAs) is rising due to increasing vegetarianism, health and environmental concerns, and animal-welfare issues. However, PBMAs encounter several challenges that limit widespread acceptance, including inadequate physico-chemical, sensory, and nutritional attributes, and concerns about over-processing and …

nz, ca, au (code pays fourni par la source)

7 citations Food Production Processing and Nutrition
Accès ouvert 2025 article OpenAlex

Multi-source data fusion for soybean origin traceability: Stable isotopes, elemental composition, & volatile organic compounds

Khushboo Soni, Russell Frew, Biniam Kebede

Ensuring the sustainable sourcing of soybeans, as mandated by the European Union Deforestation Regulation (EUDR), requires high spatial resolution to trace soybeans back to their origin. Addressing this challenge necessitates integrating multiple analytical approaches, making data fusion a powerful solution. As global …

nz, ca (code pays fourni par la source)

14 citations Food Chemistry
Accès ouvert 2025 article OpenAlex

Near-Infrared Spectroscopy Combined with Multivariate Analysis for the Geographical Origin Traceability of New Zealand Hops

Emily Fanning, Graham T. Eyres, Russell Frew, Biniam Kebede

Abstract The increased demand for hops with distinctive aromas by the craft brewing industry has elevated the risk of fraudulent activities linked to their origin. Given the significant rise in food fraud and consumers’ growing attention to origin transparency, there is a …

nz (code pays fourni par la source)

5 citations Food and Bioprocess Technology
Accès ouvert 2025 article OpenAlex

Metabolites and Free Fatty Acids in Japanese Black Beef During Wet Aging

Shuji Ueda, Yuka Yoshida, Yuka Tateoka, Biniam Kebede et autres

Background: Japanese Black beef is known for its high intramuscular fat content, an important factor in its distinctive Wagyu aroma. Wet aging, which involves vacuum-packing meat and storing it at low temperatures, enhances flavor, texture, and tenderness and is essential for maintaining …

jp, ca, nz (code pays fourni par la source)

9 citations Metabolites
Accès ouvert 2025 article OpenAlex

Dynamic volatile insights of solid-state fermented oats with Lactiplantibacillus plantarum : a future food sustainable development strategy

Stella Green, Graham T. Eyres, Dominic Agyei, Nicholas Horlacher et autres

This study sheds light on the metabolic activity of Lp. Plantarum and provides insights into the flavour potential of oats via solid state fermentation, while also underscoring the importance of machine learning in capturing non-linear changes.

nz, au, ie, ca (code pays fourni par la source)

2 citations Sustainable Food Technology
Accès ouvert 2024 article OpenAlex

Associations of Arabica coffee cup quality with green bean geographic origin, physicochemical properties, biochemical composition, and volatile aroma compounds

Markos Makiso Urugo, Yetenayet B. Tola, Biniam Kebede, Onwuchekwa Ogah et autres

Genetic, geographic, and climatic factors shape the physicochemical and biochemical properties of coffee ( Coffea arabica ), which in turn shape its sensory complexity. While research has explored these influences individually, the combined impact on sensory quality remains unclear. This study examines …

Éthiopie, nz, Nigéria, us (code pays fourni par la source)

10 citations Journal of Agriculture and Food Research

BNTIC News n’est pas le producteur de ces données. Les publications sont interrogées à la demande dans Crossref, OpenAIRE, DOAJ, Europe PMC, HAL, DataCite, AfricArXiv, ROR et la Banque mondiale, sans clé d’accès. OpenAlex reste optionnel. Aucun service payant n’est nécessaire et aucune donnée externe n’est enregistrée en base. Consulter les sources et leurs limites.