Multiplex optical bioassays for food safety analysis: Toward on‐site detection

Guan, Tian; Xu, Zhen-Lin; Jin, Wang; Liu, Yingju; Shen, Xing; Li, Xiangmei; Sun, Yuanming; Lei, Hongtao

doi:10.1111/1541-4337.12914

Cited by 29 publications

(10 citation statements)

References 149 publications

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“…The primary use of microarrays was in the field of transcriptomics [ 88 , 89 ]; nowadays, there is an availability of huge collections of annotated whole-genome sequencing (WGS) data, which facilitated the use of microarrays in other fields of biological sciences, including proteomics and diagnosis [ 90 ]. Besides the DNA microarray, nowadays, other microarrays (such as the antibody microarray and the small molecule microarray) have also been developed [ 91 , 92 ]. The DNA microarray also offer benefits in terms of differentiation in the same species [ 93 ].…”

Section: Emerging Pathogen-detection Techniquesmentioning

confidence: 99%

Current Scenario of Pathogen Detection Techniques in Agro-Food Sector

Nehra

Kumar

et al. 2022

Biosensors

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Over the past-decade, agricultural products (such as vegetables and fruits) have been reported as the major vehicles for foodborne diseases, which are limiting food resources. The spread of infectious diseases due to foodborne pathogens poses a global threat to human health and the economy. The accurate and timely detection of infectious disease and of causative pathogens is crucial in the prevention and treatment of disease. Negligence in the detection of pathogenic substances can be catastrophic and lead to a pandemic. Despite the revolution in health diagnostics, much attention has been paid to the agro-food sector regarding the detection of food contaminants (such as pathogens). The conventional analytical techniques for pathogen detection are reliable and still in operation. However, laborious procedures and time-consuming detection via these approaches emphasize the need for simple, easy-to-use, and affordable detection techniques. The rapid detection of pathogens from food is essential to avoid the morbidity and mortality originating from the suboptimal nature of empiric pathogen treatment. This review critically discusses both the conventional and emerging bio-molecular approaches for pathogen detection in agro-food.

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Section: Emerging Pathogen-detection Techniquesmentioning

confidence: 99%

Current Scenario of Pathogen Detection Techniques in Agro-Food Sector

Nehra

Kumar

et al. 2022

Biosensors

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“…The resolution of smartphoneembedded CMOS image sensor (CIS) cameras now exceeds 20 million pixels, and the pixel pitch has been reduced to about 1 μm. Recently, smartphone optical sensors using this high pixel density have been extensively used for bioimaging medical diagnosis in microfluidics [2][3][4][5][6][7][8][9][10][11]. For example, an optical fiber surface plasmon resonance (SPR) sensor system was reported by Bremer et al They used the flash and camera on the back of a smartphone to excite and interrogate the SPR sensor system [12].…”

Section: The Distinctive Superiorities Of Smartphone-based Imaging Bi...mentioning

confidence: 99%

Well-Designed Smartphone-Based Imaging Biosensor

Ding¹

2022

HSET

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With the development of hardware and software for smartphones, more and more well-designed smartphone-based imaging biosensors have been created and broadly applied in point-of-care testing (POCT). Imaging biosensors can get clear images through the high pixel density of smartphones’ camera systems. And smartphones also provide a chance for imaging processing thanks to smartphones' central processing units (CPUs) and graphics processing units (GPUs). Different approaches have extensively explored smartphone-based imaging biosensors. The commonly used imaging methods are generally implemented by the bright field with the light source or by fluorescence with a fluorescence microscope. Smartphones have enabled the widespread application of imaging-based methods in clinical chemistry, environmental monitoring, flow cytometry, food analysis, drug screening, and medical diagnostics. In detail, this article discusses various imaging biosensors and specific applications of smartphone-based imaging biosensors for bright-field imaging and fluorescence bioimaging. Meanwhile, the opportunities and challenges of smartphone-based imaging biosensors are also analyzed here.

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“…On-site detection technologies are currently in demand for drug supervision, food inspection, and environmental monitoring. − Surface-enhanced Raman scattering (SERS) is one potential tool for on-site testing, thanks to its ability to tremendously enhance the unique Raman scattering signals of various molecules. Here, the enhancement in Raman spectral signals is typically based on the confined electric field (E-field) arising from localized nanoscale interactions between the light and plasmonic materials, also known as localized surface plasma resonance (LSPR). , This enhancement is approximately equal to the fourth power of the augmented E-field intensity .…”

Section: Introductionmentioning

confidence: 99%

Aluminum Plasmonic Nanoclusters for Paper-Based Surface-Enhanced Raman Spectroscopy

Chang

et al. 2022

Anal. Chem.

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Although surface-enhanced Raman spectroscopy (SERS) can rapidly identify molecular fingerprints and has great potential for analysis, the need for delicate plasmonic substrates and complex laboratory instruments seriously limits its applicability for on-site detection. This paper describes the development of an inexpensive aluminum nanoparticle (AlNP)-decorated paper that functions as a facile SERS-based detection platform (Al-PSERS). Polydopamine-protected AlNPs were chemically synthesized and then simply drop-cast onto a hydrophobic cellulose paper, forming a monolayer AlNP cluster array. Because of the abundance of hot spots arising from the plasmonic clusters, the inherent quasi-three-dimensional structure of the cellulose fibers, and the concentration effect of the hydrophobic surface, the Al-PSERS provided significant enhancements to the signal of various analytes, measured using a portable 785 nm Raman spectrometer. Near-field optical simulations and experimental spectroscopic results revealed that the local electric fields and corresponding SERS signal intensities of the AlNP array exhibited clear particle-length and cluster-size dependencies. Therefore, the Al-PSERS could be optimized to provide high sensitivity (enhancement factor: 2 × 103) and excellent reproducibility (variation: 8.72%). Moreover, the optimal Al-PSERS was capable of detecting colorants and environmental pollutants; for example, the detection limits of allura red and benzo[a]pyrene reached as low as 3.5 and 0.15 ppm, respectively. Furthermore, the Al-PSERS could rapidly identify illegal (rhodamine B) and edible (allura red, erythrosine) colorants from a mixture of multiple colorants or from adulterated candies. Because it facilitates rapid detection, is of low cost, and has minimal technical requirements, Al-PSERS should be applicable to on-site detection in, for example, food inspection and environmental monitoring.

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Multiplex optical bioassays for food safety analysis: Toward on‐site detection

Cited by 29 publications

References 149 publications

Current Scenario of Pathogen Detection Techniques in Agro-Food Sector

Current Scenario of Pathogen Detection Techniques in Agro-Food Sector

Well-Designed Smartphone-Based Imaging Biosensor

Aluminum Plasmonic Nanoclusters for Paper-Based Surface-Enhanced Raman Spectroscopy

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