Biosensors for the Detection of Food Pathogens

Poltronieri, Palmiro; Mezzolla, Valeria; Primiceri, Elisabetta; Maruccio, Giuseppe

doi:10.3390/foods3030511

Cited by 94 publications

(46 citation statements)

References 60 publications

(72 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The extraction of pathogen gDNA from contaminated food matrices is often a challenging task . A not efficient extraction could affect the final performance of the assay and can lead to false negative results …”

Section: Resultsmentioning

confidence: 99%

Ultrasensitive Detection of Staphylococcus aureus and Listeria monocytogenes Genomic DNA by Nanoparticle‐Enhanced Surface Plasmon Resonance Imaging

2017

View full text Add to dashboard Cite

The rapid, sensitive and specific detection of pathogenic bacteria is key to the prevention of a variety of foodborne illnesses representing a significant threat to public health. Conventional methods for the detection and identification of pathogens may take up to a few days to yield an answer, and for this reason, efforts have been made to develop new biosensing platforms for the efficient detection of foodborne pathogens. Here we report the use of a nanoparticle‐enhanced surface plasmon resonance (SPR) imaging biosensor for the rapid and femtomolar‐attomolar detection of Staphylococcus aureus and Listeria monocytogenes genomic DNAs. We performed the nanoparticle enhanced SPR imaging detection of pathogen genomic DNAs with no need for the polymerase chain reaction (PCR) pre‐amplification of the sequences to be detected. Here we show that peptide nucleic acid (PNA) probes can discriminate between two pathogenic genomic DNAs. We tested the selectivity of the detection method against control probe sequences or contaminating bovine genomic DNA and demonstrated, for the first time, the attomolar detection of Staphylococcus aureus genomic DNA in the presence of a 10‐fold higher concentration of bovine genomic DNA.

show abstract

Section: Resultsmentioning

confidence: 99%

Ultrasensitive Detection of Staphylococcus aureus and Listeria monocytogenes Genomic DNA by Nanoparticle‐Enhanced Surface Plasmon Resonance Imaging

2017

View full text Add to dashboard Cite

show abstract

“…The processor converts the biological signals into any of the amperometric, potentiometric, piezoelectric, thermal or optical signals. The signal is almost proportional to the concentration of analytes which is detected by the detector [3,4].…”

Section: Introductionmentioning

confidence: 99%

Detection of Pathogenic Bacteria: A Genosensor Approach

Dash¹

2017

JBMOA

View full text Add to dashboard Cite

Nowadays, detection of pathogenic bacteria is one of the major concerns in food, beverage drinking water and pharmaceutical industries. The traditional methods used for identification of bacteria involve detection of characteristic metabolites or cellular reproductive cycles, which is time-consuming, less sensitive, and misleading. From last few decades there has been a great advance in the strategies for detection of pathogenic bacteria by using micro-and nano-fabrication technologies. These technologies largely improved the sensitivity, specificity, limit of detection, and simultaneously reduced the complexity of handing, time and cost of detection. The paper will be focused on newly developed nano-and micro-scaled sensors, microfluidics, lab-on-a-chip, and array based technologies for the detection of different pathogenic bacteria.

show abstract

“…Biosensors for whole-cell bacterial detection have been recently reviewed [32][33][34][35]. Various detection systems have been applied in bacteria quantification, from spectrophotometric detection, as Fourier Transformation-IR spectrometry (FTIR) and Reflectometric Interference Spectroscopy (RIfS), to Surface Enhanced Raman Spectroscopy (SERS) [36], to electrochemical biosensors, such as Alternate Current (AC) susceptometry measuring the magnetic field, suitable for bacteria concentration evaluation, to impedance-based systems, as electrochemical impedance spectroscopy (EIS) [34,36].…”

Section: Introductionmentioning

confidence: 99%

PHB Production in Biofermentors Assisted through Biosensor Applications

Poltronieri¹,

Mezzolla²,

D’Urso³

2016

Proceedings of the 3rd International Electronic Conference on Sensors and Applications, 15–30 November 2016; Availabl

Self Cite

View full text Add to dashboard Cite

Poly-hydroxy-alcanoates (PHAs) are biodegradable and biocompatible polymers synthesized and accumulated in intracellular compartments in several bacterial species. Polyhydroxyalcanoates (PHAs) are synthesized by numerous prokaryotes, such as Cupriavidus necator (Ralstonia eutropha), Pseudomonas spp., Comamonas spp., in response to stress conditions, i.e., under high carbon and low nitrogen (24:1 ratio). PHA can be synthesized using recombinant microorganisms (provided with the operon phbA/phbB/phbC), escaping the constrains of nutrient request, except addition of high amount of sugar (glucose, lactose, fructose). Recombinant E. coli systems were studied to produce PHB using metabolic engineering. In biofermentors, the critical points are the excess of fermentable sugars and the ratio of nutrients versus cell optical density. In order to allow production in biofermentors in automated system, sensors are envisaged to evaluate critical parameters such as sugar consumption, bacteria concentration and level of synthesis of PHA. The need of fermentors and operation control has compelled for application of three biosensing units, one linked to a Nanodrop to evaluate OD, one linked to an enzymatic reaction chamber to measure sugars consumed by enzyme linked sugar biosensing tools, and one for sampling the bacteria, Nile Blue staining, and fluorescence intensity reads. These detectors will make possible to exploit the full potential of bioreactors optimizing the time of use and maximizing the number of bacteria synthesizing PHA.

show abstract

Biosensors for the Detection of Food Pathogens

Cited by 94 publications

References 60 publications

Ultrasensitive Detection of Staphylococcus aureus and Listeria monocytogenes Genomic DNA by Nanoparticle‐Enhanced Surface Plasmon Resonance Imaging

Ultrasensitive Detection of Staphylococcus aureus and Listeria monocytogenes Genomic DNA by Nanoparticle‐Enhanced Surface Plasmon Resonance Imaging

Detection of Pathogenic Bacteria: A Genosensor Approach

PHB Production in Biofermentors Assisted through Biosensor Applications

Contact Info

Product

Resources

About