Development and perspectives of rapid detection technology in food and environment

Jia, Xuexia; Li, Shuang; Han, Dianpeng; Chen, Rui-Peng; Yao, Zi-Yi; Ning, Baoan; Gao, Zhixian; Fan, Zhen‐Chuan

doi:10.1080/10408398.2021.1878101

Cited by 20 publications

(9 citation statements)

References 208 publications

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“…In fact, illegal adulterations, the use of unauthorized additives, the use of lax standards or substandard food ingredients, and the production of fake foodstuffs can all lead to food safety issues (Dong et al., 2014). Food adulteration, such as adulteration of fox or mouse meat in beef and mutton meat and pomegranate juice with the addition of cheaper fruit juices, and so on (Figure 1), is a worldwide problem, which is difficult to be detected (Alikord et al., 2021; He et al., 2021; Jia et al., 2021; Sudhakar et al., 2021). It is of great need to develop and establish rapid and accurate detection techniques for food adulteration (He et al., 2021).…”

Section: Food Safety Issues and Related Detection Methodsmentioning

confidence: 99%

CRISPR‐Cas‐based detection for food safety problems: Current status, challenges, and opportunities

Man

Liu

2022

Comp Rev Food Sci Food Safe

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Food safety is one of the biggest public issues occurring around the world. Microbiological, chemical, and physical hazards can lead to food safety issues, which may occur at all stages of the supply chain. In order to tackle food safety issues and safeguard consumer health, rapid, accurate, specific, and field-deployable detection methods meeting diverse requirements are one of the imperative measures for food safety assurance. CRISPR-Cas system, a newly emerging technology, has been successfully repurposed in biosensing and has demonstrated huge potential to establish conceptually novel detection methods with high sensitivity and specificity. This review focuses on CRISPR-Cas-based detection and its current status and huge potential specifically for food safety inspection. We firstly illustrate the pending problems in food safety and summarize the popular detection methods. We then describe the potential applications of CRISPR-Casbased detection in food safety inspection. Finally, the challenges and futuristic

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Section: Food Safety Issues and Related Detection Methodsmentioning

confidence: 99%

CRISPR‐Cas‐based detection for food safety problems: Current status, challenges, and opportunities

Man

Liu

2022

Comp Rev Food Sci Food Safe

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“…Surface-Enhanced Raman Spectroscopy (SERS) is used as the main way to enhance the weak inelastic Raman scattering by two means: electromagnetic and chemical enhancement. The optical properties of metallic nanoparticles that integrate elements such as gold and silver generate electromagnetic fields with a size comparable to the wavelength of the light being used generating a phenomenon known as localized surface plasmon resonance (LSPR) (Jia et al, 2021). The generated electromagnetic field amplifies the Raman signal of the molecule that is in proximity to the nanoparticle.…”

Section: Spectroscopic Methods For Polyfluoroalkyl and Perfluoroalkyl...mentioning

confidence: 99%

Detection and Tertiary Treatment Technologies of Poly-and Perfluoroalkyl Substances in Wastewater Treatment Plants

Araújo

Rodríguez-Hernández

González-González

et al. 2022

Front. Environ. Sci.

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PFAS are a very diverse group of anthropogenic chemicals used in various consumer and industrial products. The properties that characterize are their low degradability as well as their resistance to water, oil and heat. This results in their high persistence in the environment and bioaccumulation in different organisms, causing many adverse effects on the environment as well as in human health. Some of their effects remain unknown to this day. As there are thousands of registered PFAS, it is difficult to apply traditional technologies for an efficient removal and detection for all. This has made it difficult for wastewater treatment plants to remove or degrade PFAS before discharging the effluents into the environment. Also, monitoring these contaminants depends mostly on chromatography-based methods, which require expensive equipment and consumables, making it difficult to detect PFAS in the environment. The detection of PFAS in the environment, and the development of technologies to be implemented in tertiary treatment of wastewater treatment plants are topics of high concern. This study focuses on analyzing and discussing the mechanisms of occurrence, migration, transformation, and fate of PFAS in the environment, as well the main adverse effects in the environment and human health. The following work reviews the recent advances in the development of PFAS detection technologies (biosensors, electrochemical sensors, microfluidic devices), and removal/degradation methods (electrochemical degradation, enzymatic transformation, advanced oxidation, photocatalytic degradation). Understanding the risks to public health and identifying the routes of production, transportation, exposure to PFAS is extremely important to implement regulations for the detection and removal of PFAS in wastewater and the environment.

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“…Microbial contamination poses a significant threat to water–soil systems, food safety, and human health (Jia et al., 2022). In particular, food ingredients are susceptible to contamination by mycotoxins after harvest, resulting in decreased food quality and even the risk of human disease.…”

Section: Recent Advances In Spectral Data Fusion In Food Analysismentioning

confidence: 99%

Spectral data fusion in nondestructive detection of food products: Strategies, recent applications, and future perspectives

Guo,

Wang,

Lin

et al. 2024

Comp Rev Food Sci Food Safe

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In recent years, the food industry has shown a growing interest in the development of rapid and nondestructive analytical methods. However, the utilization of a solitary nondestructive detection technique offers only a constrained extent of physical or chemical insights regarding the sample under examination. To overcome this limitation, the amalgamation of spectroscopy with data fusion strategies has emerged as a promising approach. This comprehensive review delves into the fundamental principles and merits of low‐level, mid‐level, and high‐level data fusion strategies within the domain of food analysis. Various data fusion techniques encompassing spectra‐to‐spectra, spectra‐to‐machine vision, spectra‐to‐electronic nose, and spectra‐to‐nuclear magnetic resonance are summarized. Moreover, this review also provides an overview of the latest applications of spectral data fusion techniques (SDFTs) for classification, adulteration, quality evaluation, and contaminant detection within the purview of food safety analysis. It also addresses current challenges and future prospects associated with SDFTs in real‐world applications. Despite the extant technical intricacy, the ongoing evolution of online data fusion platforms and the emergence of smartphone‐based multi‐sensor fusion detection technology augur well for the pragmatic realization of SDFTs, endowing them with formidable capabilities for both qualitative and quantitative analysis in the realm of food analysis.

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Development and perspectives of rapid detection technology in food and environment

Cited by 20 publications

References 208 publications

CRISPR‐Cas‐based detection for food safety problems: Current status, challenges, and opportunities

CRISPR‐Cas‐based detection for food safety problems: Current status, challenges, and opportunities

Detection and Tertiary Treatment Technologies of Poly-and Perfluoroalkyl Substances in Wastewater Treatment Plants

Spectral data fusion in nondestructive detection of food products: Strategies, recent applications, and future perspectives

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