Recent sensing technologies for pathogen detection in milk: A review

Mortari, Alessia; Lorenzelli, Leandro

doi:10.1016/j.bios.2014.03.063

Cited by 84 publications

(40 citation statements)

References 96 publications

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“…The applicability of the proposed method was also assessed using more complex milk matrix, which is well known for its inhibitory influence on DNA extraction and PCR amplification (Mortari and Lorenzelli 2014). After multi-step sample pre-treatment, the proposed method can achieve the detection of 10 3 cells in 25 mL of milk, which means the detection limit is low to ca.…”

Section: Real Sample Analysismentioning

confidence: 99%

A microfluidic droplet digital PCR for simultaneous detection of pathogenic Escherichia coli O157 and Listeria monocytogenes

Bian

et al. 2015

Biosensors and Bioelectronics

155

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Section: Real Sample Analysismentioning

confidence: 99%

A microfluidic droplet digital PCR for simultaneous detection of pathogenic Escherichia coli O157 and Listeria monocytogenes

Bian

et al. 2015

Biosensors and Bioelectronics

155

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“…In animal production, precision livestock farming is considered to have significant potential to improve animal health, production and welfare. While sensor technology is already used, for example, in dairy cattle feeding, mastitis, fertility, locomotion and metabolism, the integration and analysis of the data for decision making still needs further development (Rutten et al, 2013;Mortari and Lorenzelli, 2014). It is very likely that more widespread utilisation and better adaptation of these digital technologies will provide an opportunity for more effective traceability of livestock and their products and animal health surveillance.…”

Section: Data Revolution: From the Internet Via Big Data To The Intermentioning

confidence: 99%

Spatial and temporal epidemiological analysis in the Big Data era

Pfeiffer

Stevens

2015

Preventive Veterinary Medicine

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7Concurrent with global economic development in the last 50 years, the opportunities for the 8 spread of existing diseases, and emergence of new infectious pathogens, have increased 9 substantially. The activities associated with the enormously intensified global connectivity 10 have resulted in large amounts of data being generated, which in turn provides opportunities 11 for generating knowledge that will allow more effective management of animal and human

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“…Probes are immobilized on a surface then hybridized with the target if present. One of the major challenges in nucleic acid based sensors is the precise technique to detect the hybridization event to the extent that a single base mismatch can be detected to minimize false positives (Mortari & Lorenzelli, 2014).…”

Section: Genosensorsmentioning

confidence: 99%

Developments in nanoparticles for use in biosensors to assess food safety and quality

Warriner

Reddy

Namvar

et al. 2014

Trends in Food Science & Technology

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Highlights•Background to the evolution of biosensor based on nanoparticles.•Application of nanoparticles in biosensor devices.•Overview of biosensor formats applied in food testing.•Examples of integrated biosensor systems for food sampling.•Prospects and challenges in nanosensors in pathogen testing.The following will provide an overview on how advances in nanoparticle technology have contributed towards developing biosensors to screen for safety and quality markers associated with foods. The novel properties of nanoparticles will be described and how such characteristics have been exploited in sensor design will be provided. All the biosensor formats were initially developed for the health care sector to meet the demand for point-of-care diagnostics. As a consequence, research has been directed towards miniaturization thereby reducing the sample volume to nanolitres. However, the needs of the food sector are very different which may ultimately limit commercial application of nanoparticle based nanosensors. IntroductionThrough evolution we have developed senses to enable us to differentiate good foods from bad. The art of cheese making, brewing and viticulture has relied on the producer using their senses to assess quality. Establishing if a food was safe was more problematic and typically relied on tasters to ensure dishes provided to their masters were sound. Clearly, analytical testing is a more reliable and objective means of assessing the quality and safety of foods. Laboratory testing provided a basis for developing protocols and limits that could be applied to foods to define quality or safety. Yet, the expense and delay in acquiring results remain critical limitations. Consequently, there is an on-going demand for biosensors that can be used outside the laboratory environment to assess the safety and quality of foods on-site.In many instances the needs of the food industry mirrored that of the health sector where rapid diagnostics would enhance treatments and prognosis. The health sector provides a more lucrative market for diagnostic companies so it is not unexpected to find that the majority of research to date has been towards developing biosensors to meet the market demands. Consequently, those biosensors encountered in the food sector are derived from those devices initially fabricated to meet the needs of the health care sector. Within this context, the following review provides a brief history on how the field of biosensors developed and the contribution made by advances in nanoparticle technology. The efforts in transferring biosensor technologies to the food sector will be provided with a focus on safety, and to a degree, quality assessment. The review does not attempt to provide an exhaustive list of advances given the numerous quality reviews are already published in this area (Arugula and Simonian,

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Recent sensing technologies for pathogen detection in milk: A review

Cited by 84 publications

References 96 publications

A microfluidic droplet digital PCR for simultaneous detection of pathogenic Escherichia coli O157 and Listeria monocytogenes

A microfluidic droplet digital PCR for simultaneous detection of pathogenic Escherichia coli O157 and Listeria monocytogenes

Spatial and temporal epidemiological analysis in the Big Data era

Developments in nanoparticles for use in biosensors to assess food safety and quality

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