Fiber optic and light scattering sensors: Complimentary approaches to rapid detection of Salmonella enterica in food samples

Abdelhaseib, Maha; Singh, Atul K.; Bailey, Matthew; Singh, Manpreet; El-Khateib, Talaat; Bhunia, Arun K.

doi:10.1016/j.foodcont.2015.09.031

Cited by 35 publications

(21 citation statements)

References 49 publications

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“…Biosensors offer significant advantages in microbial analysis of water and food samples, as they can include fast or real-time detection, portability, and multi-pathogen detection111718192021. Such systems can potentially be deployed at food processing plants and food safety laboratories to allow for rapid detection of foodborne microorganisms and enhance food safety2223.…”

mentioning

confidence: 99%

Porous Silicon-Based Biosensors: Towards Real-Time Optical Detection of Target Bacteria in the Food Industry

Massad-Ivanir

Shtenberg

Raz

et al. 2016

Sci Rep

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Rapid detection of target bacteria is crucial to provide a safe food supply and to prevent foodborne diseases. Herein, we present an optical biosensor for identification and quantification of Escherichia coli (E. coli, used as a model indicator bacteria species) in complex food industry process water. The biosensor is based on a nanostructured, oxidized porous silicon (PSi) thin film which is functionalized with specific antibodies against E. coli. The biosensors were exposed to water samples collected directly from process lines of fresh-cut produce and their reflectivity spectra were collected in real time. Process water were characterized by complex natural micro-flora (microbial load of >107 cell/mL), in addition to soil particles and plant cell debris. We show that process water spiked with culture-grown E. coli, induces robust and predictable changes in the thin-film optical interference spectrum of the biosensor. The latter is ascribed to highly specific capture of the target cells onto the biosensor surface, as confirmed by real-time polymerase chain reaction (PCR). The biosensors were capable of selectively identifying and quantifying the target cells, while the target cell concentration is orders of magnitude lower than that of other bacterial species, without any pre-enrichment or prior processing steps.

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mentioning

confidence: 99%

Porous Silicon-Based Biosensors: Towards Real-Time Optical Detection of Target Bacteria in the Food Industry

Massad-Ivanir

Shtenberg

Raz

et al. 2016

Sci Rep

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“…L.monocytogenes and many other food pathogens can be used successfully for identification. The pathogen counts can also be done since the signal intensity is proportional to the concentration (Abdelhaseib et al 2016).…”

Section: Fiber Optic Based Biosensorsmentioning

confidence: 99%

The Determination of Listeria monocytogenes in Foods with Optical Biosensors

Bi̇beroğlu

2020

Van Veterinary Journal

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Listeria monocytogenes is a food-borne intracellular pathogen that is resistant to adverse conditions of food processing and is a causative agent of high mortality listeriosis disease. Analysis of large food lots is limited by culture methods. Nowadays, although the conventional culture methods have been adopted as the gold standard method, they can be insufficient to control food parties that reach very large quantities. Biosensors with on-site detection potential and their characterizing with high accuracy and precision offers many opportunities for real-time estimation of industrial contamination. As the most promising technique for rapid detection of L.monocytogenes, ones based on surface plasmon resonance (SPR) and fiber optic biosensors (FOBs) where direct or indirect detections can be made by detecting the interaction of the biomarker element with the optical field without marking or labeling, have come to the fore. SPR and FOBs can be detected directly in the range of 10 2-10 6 cfu/ml and ≤10 1-10 3 cfu/ml, respectively.

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“…There is increased academic and industrial interest in the development of optical fiber sensing devices with direct implementation into the high socio-economical impact value chains of food quality monitoring, including taste monitoring, detection of adulteration, genetic modification and micro-organism growth [1][2][3]. The small size of optical fibers, their capability of providing intrusive sensing operation [4][5][6], and their straightforward interrogation in spectral or amplitude mode [7], has prompted further investigation into their use in functional sensing schemes covering the above horizontal and vertical applications.…”

Section: Introductionmentioning

confidence: 99%

A Fiber Optic Fabry–Perot Cavity Sensor for the Probing of Oily Samples

Melissinaki

Farsari

Pissadakis

2017

Fibers

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Abstract:A micro-optical Fabry-Perot cavity fabricated by non-linear laser lithography on the endface of a standard telecom fiber is tested here as a microsensor for identifying oily liquids. The device operates within the 1550 nm spectral region, while the spectra recorded in reflection mode correlate to the refractive index of the oily liquids used, as well as, to the diffusion dynamics in the time domain of the oily samples inside the porous photo-polymerized sensing head. The operation of the microresonator sensing probe is explained by using a three-layer Fabry-Perot model and basic diffusion physics to estimate diffusivities for three series of refractive index matching oils with different chemical compositions that had been used in those experiments. The distinct spectro-temporal response of this sensing probe to the different oil samples is demonstrated and discussed.

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Fiber optic and light scattering sensors: Complimentary approaches to rapid detection of Salmonella enterica in food samples

Cited by 35 publications

References 49 publications

Porous Silicon-Based Biosensors: Towards Real-Time Optical Detection of Target Bacteria in the Food Industry

Porous Silicon-Based Biosensors: Towards Real-Time Optical Detection of Target Bacteria in the Food Industry

The Determination of Listeria monocytogenes in Foods with Optical Biosensors

A Fiber Optic Fabry–Perot Cavity Sensor for the Probing of Oily Samples

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