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Arun K. Bhunia
Researcher at Purdue University
Publications - 343
Citations - 12043
Arun K. Bhunia is an academic researcher from Purdue University. The author has contributed to research in topics: Listeria monocytogenes & Listeria. The author has an hindex of 59, co-authored 330 publications receiving 10855 citations. Previous affiliations of Arun K. Bhunia include University of Illinois at Urbana–Champaign & Center for Food Safety.
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Journal ArticleDOI
Cytotoxicity Potential and Genotypic Characterization of Escherichia coli Isolates from Environmental and Food Sources
TL;DR: It is suggested that overall higher cytotoxicity values correlated with the production of stx genes, and the majority of hly-positive but stx-negative environmental isolates also exhibited a certain degree of cytot toxicity.
Journal ArticleDOI
Liposome-doped nanocomposites as artificial-cell-based biosensors : Detection of listeriolysin O
TL;DR: A liposome‐doped silica nanocomposite is developed as a simple, inexpensive, and highly stable biosensor material that mimics existing whole‐cell assays for LLO and potentially could be used for the detection of hemolysin producing L. monocytogenes as well as the many other bacteria that produce pore‐forming toxins.
Book ChapterDOI
Mammalian Cell-Based Sensor System
TL;DR: The type and applications of different mammalian cell-based sensor systems, utilizing mammalian cells as the biorecognition element, are focused on.
Journal ArticleDOI
Light scattering, fiber optic- and cell-based sensors for sensitive detection of foodborne pathogens
TL;DR: Three cutting-edge optical sensor technologies are described: light scattering, fiber optic- and cell-based sensors, which are proven to be useful in pathogen detection from food samples.
Journal ArticleDOI
Monitoring Campylobacter in the poultry production chain—from culture to genes and beyond.
Mathilde Hasseldam Josefsen,Arun K. Bhunia,Eva Olsson Engvall,Mette Sofie Rousing Fachmann,Jeffrey Hoorfar +4 more
TL;DR: Development of real-time PCR, microarray PCR, miniaturized biosensors, chromatographic techniques and DNA sequencing can improve the monitoring capacity at a lower cost and combined with innovative sampling and sample treatment, these techniques could become realistic options for on-farm and liquid-sample monitoring at slaughterhouses.