Point-of-Care Detection Devices for Food Safety Monitoring: Proactive Disease Prevention

Wu, Mengfei; Hsu, Min‐Yen; Chen, Shih‐Jen; Hwang, De‐Kuang; Yen, Tzung‐Hai; Cheng, Chao‐Min

doi:10.1016/j.tibtech.2016.12.005

Cited by 94 publications

(56 citation statements)

References 56 publications

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“…In remote areas, where resources are scarce, sending specimens to an analysis laboratory can be difficult. Smartphone-based analytical platform, instead, could bypass these logistic issues via on-site testing or remote confirmation of detection [3]. …”

Section: Introductionmentioning

confidence: 99%

Smartphone-Based Food Diagnostic Technologies: A Review

Rateni

Dario

Cavallo

2017

Sensors

231

136

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A new generation of mobile sensing approaches offers significant advantages over traditional platforms in terms of test speed, control, low cost, ease-of-operation, and data management, and requires minimal equipment and user involvement. The marriage of novel sensing technologies with cellphones enables the development of powerful lab-on-smartphone platforms for many important applications including medical diagnosis, environmental monitoring, and food safety analysis. This paper reviews the recent advancements and developments in the field of smartphone-based food diagnostic technologies, with an emphasis on custom modules to enhance smartphone sensing capabilities. These devices typically comprise multiple components such as detectors, sample processors, disposable chips, batteries and software, which are integrated with a commercial smartphone. One of the most important aspects of developing these systems is the integration of these components onto a compact and lightweight platform that requires minimal power. To date, researchers have demonstrated several promising approaches employing various sensing techniques and device configurations. We aim to provide a systematic classification according to the detection strategy, providing a critical discussion of strengths and weaknesses. We have also extended the analysis to the food scanning devices that are increasingly populating the Internet of Things (IoT) market, demonstrating how this field is indeed promising, as the research outputs are quickly capitalized on new start-up companies.

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Section: Introductionmentioning

confidence: 99%

Smartphone-Based Food Diagnostic Technologies: A Review

Rateni

Dario

Cavallo

2017

Sensors

231

136

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“…This is especially important in the area of food. Food is vital to people’s lives and food safety has always been valued by all sectors of society [1,2]. Regulators have realized that tackling modern technologies to build a credit evaluation system between traders is vital to promote food security during the transactions.…”

Section: Discussionmentioning

confidence: 99%

“…Over the past few years, many food scandal cases have been disclosed in the media such as the China milk scandal that emerged in 2008 and the UK horse meat scandal in 2013 [1]. Recently, the “gutter oil” scandal [2] has raised food safety fears once again in China. More and more food safety problems have arisen and caused illnesses that have gained national and government attention.…”

Section: Introductionmentioning

confidence: 99%

Credit Evaluation System Based on Blockchain for Multiple Stakeholders in the Food Supply Chain

Mao

Wang

Hao

et al. 2018

IJERPH

185

128

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The food supply chain is a complex system that involves a multitude of “stakeholders” such as farmers, production factories, distributors, retailers and consumers. “Information asymmetry” between stakeholders is one of the major factors that lead to food fraud. Some current researches have shown that applying blockchain can help ensure food safety. However, they tend to study the traceability of food but not its supervision. This paper provides a blockchain-based credit evaluation system to strengthen the effectiveness of supervision and management in the food supply chain. The system gathers credit evaluation text from traders by smart contracts on the blockchain. Then the gathered text is analyzed directly by a deep learning network named Long Short Term Memory (LSTM). Finally traders’ credit results are used as a reference for the supervision and management of regulators. By applying blockchain, traders can be held accountable for their actions in the process of transaction and credit evaluation. Regulators can gather more reliable, authentic and sufficient information about traders. The results of experiments show that adopting LSTM results in better performance than traditional machine learning methods such as Support Vector Machine (SVM) and Navie Bayes (NB) to analyze the credit evaluation text. The system provides a friendly interface for the convenience of users.

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“…Most importantly, proper monitoring and pathogen detection systems, and their application and development to match modern technology, will ensure food quality and safety 28 . Effective food safety monitoring can be used to monitor and control food quality at a large scale, at multiple locations, and across production points from manufacture to food consumption.…”

Section: Food Safety and Its Assessmentmentioning

confidence: 99%

Recent Advances in Biosensor Development for Foodborne Virus Detection

Neethirajan¹,

Ahmed²,

Chand³

et al. 2017

Nanotheranostics

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Outbreaks of foodborne diseases related to fresh produce have been increasing in North America and Europe. Viral foodborne pathogens are poorly understood, suffering from insufficient awareness and surveillance due to the limits on knowledge, availability, and costs of related technologies and devices. Current foodborne viruses are emphasized and newly emerging foodborne viruses are beginning to attract interest. To face current challenges regarding foodborne pathogens, a point-of-care (POC) concept has been introduced to food testing technology and device. POC device development involves technologies such as microfluidics, nanomaterials, biosensors and other advanced techniques. These advanced technologies, together with the challenges in developing foodborne virus detection assays and devices, are described and analysed in this critical review. Advanced technologies provide a path forward for foodborne virus detection, but more research and development will be needed to provide the level of manufacturing capacity required.

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Point-of-Care Detection Devices for Food Safety Monitoring: Proactive Disease Prevention

Cited by 94 publications

References 56 publications

Smartphone-Based Food Diagnostic Technologies: A Review

Smartphone-Based Food Diagnostic Technologies: A Review

Credit Evaluation System Based on Blockchain for Multiple Stakeholders in the Food Supply Chain

Recent Advances in Biosensor Development for Foodborne Virus Detection

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