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Profil bibliographique

Penka Petrova

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

7Publications signalées
79Citations signalées
2Affiliations récentes

Les institutions déclarées

Les domaines associés

Nuclear reactor physics and engineeringNuclear Materials and PropertiesNuclear Engineering Thermal-HydraulicsPlant-Microbe Interactions and ImmunityBacterial Genetics and Biotechnology

Les publications récentes

Accès ouvert 2026 article OpenAlex

Direct Production of 2-Butanol from Glucose by Recombinant Klebsiella pneumoniae Strains

Emanoel Gergov, Alexander Arsov, Kaloyan K. Petrov, Lidia Tsigoriyna et autres

2-Butanol is a promising biofuel due to its favorable properties and lower microbial toxicity compared to other butanol isomers. However, microbial production remains challenging due to the absence of a native biochemical pathway for directly converting sugars into 2-butanol. To achieve this …

bg (code pays fourni par la source)

0 citations International Journal of Molecular Sciences
Accès ouvert 2026 article OpenAlex

Regulation of Sialidase Biosynthesis by Control Mechanism Induction in Antarctic Strain Penicillium griseofulvum P29

Radoslav Abrashev, Ekaterina Tz. Krumova, Penka Petrova, Rumyana Еneva et autres

In recent years, sialidases (neuraminidases) derived from non-clinical sources have attracted considerable interest due to their potential applications in the food and pharmaceutical industries. A deeper understanding of the mechanisms regulating sialidase synthesis could lead to more efficient enzyme production. Induction is …

bg (code pays fourni par la source)

0 citations Sci
Accès ouvert 2025 article OpenAlex

Antifungal Biocontrol in Sustainable Crop Protection: Microbial Lipopeptides, Polyketides, and Plant-Derived Agents

Nadya Armenova, Lidia Tsigoriyna, Alexander Arsov, Stefan Stefanov et autres

Fungal phytopathogens cause significant global crop losses and remain a constant obstacle to sustainable food production. Biological control has become a vital alternative to synthetic fungicides, supported by the wide variety of antifungal molecules produced by bacteria, fungi, yeasts, and plants. This …

bg, cn (code pays fourni par la source)

17 citations Journal of Fungi
Accès ouvert 2024 article OpenAlex

Uncertainty quantification for severe-accident reactor modelling: Results and conclusions of the MUSA reactor applications work package

S. Brumm, F. Gabrielli, Víctor Hugo Sánchez-Espinoza, A. Stakhanova et autres

• Challenges of BEPU method in Severe Accident modelling are explored. • Uncertainty analysis broadens the understanding of Severe Accident sequences • Applications demonstrate the level of readiness for BEPU in Severe Accident modelling. • A large data base of BEPU reactor …

nl, de, bg, cn, be, es, ca, it, ua, us, fr, gb, jp, kr, lt, ch, fi (code pays fourni par la source)

18 citations Annals of Nuclear Energy
Accès ouvert 2023 article OpenAlex

Main outcomes of the Phebus FPT1 uncertainty and sensitivity analysis in the EU-MUSA project

F. Mascari, Andrea Bersano, Mattia Massone, Giuseppe Agnello et autres

The Management and Uncertainties of Severe Accidents (MUSA) project was funded in HORIZON 2020 and is coordinated by CIEMAT (Spain). The project aims at consolidating a harmonized approach for the analysis of uncertainties and sensitivities associated with Severe Accidents (SAs) analysis, focusing …

it, fr, es, ca, ua, bg, de, gb, lt, ch, be, us, fi (code pays fourni par la source)

19 citations Annals of Nuclear Energy
Accès ouvert 2023 conference-paper OpenAlex

Uncertainty Assessment in the Prediction of Selected Fission Products in the Case of a Postulated Severe Accident Scenario at VVER-1000

Pavlin Petkov Groudev, Penka Petrova, Petya Ivanova Vryashkova

Abstract The aim of the paper is to present the results and insights gained from the analysis of the postulated severe accident scenario for the Nuclear Power Plant (NPP) equipped with a VVER-1000, focusing on the uncertainty assessment in the prediction of …

bg (code pays fourni par la source)

0 citations IOP Conference Series Earth and Environmental Science
Accès ouvert 2023 article OpenAlex

Uncertainty quantification for a severe accident sequence in a SFP in the frame of the H-2020 project MUSA: First outcomes

Olivia Coindreau, Luis Enrique Herranz, R. Bocanegra, S. Ederli et autres

The Management and Uncertainties of Severe Accidents (MUSA) project, funded in HORIZON 2020 and coordinated by CIEMAT (Spain), aims at consolidating a harmonized approach for the analysis of uncertainties and sensitivities associated with Severe Accidents (SAs) focusing on Source Term (ST). In …

fr, es, it, ua, bg, lt, ch, cn (code pays fourni par la source)

25 citations Annals of Nuclear Energy

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