A quantitative foam immunoassay for detection of Escherichia coli O157:H7 based on bimetallic nanocatalyst‑gold platinum

Liu, Lu; Liu, Jing; Huang, Hui; Li, Yongxin; Zhao, Guangying; Dou, Wenchao

doi:10.1016/j.microc.2019.05.016

Cited by 20 publications

(4 citation statements)

References 29 publications

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“…The growing advances in consumer electronics and portable communication systems, particularly smartphones, have led to a significant growth in smartphone subscribers worldwide, particularly in the developing countries, and faster and cheaper approaches of data acquisition. Previous mobile health technologies for target virus/protein detection have lacked broad technical applicability, including adaptability to different smartphone models, because of their dependency on smartphonespecific hardware optical attachments (21)(22)(23)(24)(25)(26)(27)(28)(29)(30). We overcome this challenge by integrating our unique target labeling and signal on May 10, 2021 http://advances.sciencemag.org/ Downloaded from amplification using catalytic properties of nanoparticles to generate bubbles on-chip with an on-phone CNN-based signal detection algorithm, which allowed us to develop a smartphone attachment-free optical sensor for virus detection.…”

Section: Discussionmentioning

confidence: 99%

“…1, C and D). Although using metal nanoparticles for target labeling and detection has been previously reported, unlike all other previous work in mobile health technologies for protein/virus detection, our system is simple in sample processing, sensitive, and adaptable to different smartphone models, mainly because our CNN-nanoparticle-enabled smartphone (NES) system does not need any hardware optical smartphone attachment for signal detection (21)(22)(23)(24)(25)(26)(27)(28)(29)(30). We first studied the nanoprobe preparation, virus capture, and bubble formation using Zika virus (ZIKV) as a clinical model for target virus detection.…”

Section: Introductionmentioning

confidence: 99%

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Virus detection using nanoparticles and deep neural network–enabled smartphone system

et al. 2020

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Emerging and reemerging infections present an ever-increasing challenge to global health. Here, we report a nanoparticle-enabled smartphone (NES) system for rapid and sensitive virus detection. The virus is captured on a microchip and labeled with specifically designed platinum nanoprobes to induce gas bubble formation in the presence of hydrogen peroxide. The formed bubbles are controlled to make distinct visual patterns, allowing simple and sensitive virus detection using a convolutional neural network (CNN)–enabled smartphone system and without using any optical hardware smartphone attachment. We evaluated the developed CNN-NES for testing viruses such as hepatitis B virus (HBV), HCV, and Zika virus (ZIKV). The CNN-NES was tested with 134 ZIKV- and HBV-spiked and ZIKV- and HCV-infected patient plasma/serum samples. The sensitivity of the system in qualitatively detecting viral-infected samples with a clinically relevant virus concentration threshold of 250 copies/ml was 98.97% with a confidence interval of 94.39 to 99.97%.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Virus detection using nanoparticles and deep neural network–enabled smartphone system

et al. 2020

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“…Unlike peroxidase and oxidase-mimicking nanozymes, catalase-mimicking nanozymes catalyze reactions without forming colored products. Instead, the detection of oxygen formation is performed using a handheld pressure meter [ 176 , 177 ], by measuring the height of foam in detergent filled tube [ 178 , 179 ], by monitoring disposable syringe pistol displacement [ 180 ], or by monitoring 3D pressure-based foam resistance [ 181 ].…”

Section: Post-assay Chemical Enhancement Approachesmentioning

confidence: 99%

Post-Assay Chemical Enhancement for Highly Sensitive Lateral Flow Immunoassays: A Critical Review

Panferov,

Zherdev,

Dzantiev

2023

Biosensors

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Lateral flow immunoassay (LFIA) has found a broad application for testing in point-of-care (POC) settings. LFIA is performed using test strips—fully integrated multimembrane assemblies containing all reagents for assay performance. Migration of liquid sample along the test strip initiates the formation of labeled immunocomplexes, which are detected visually or instrumentally. The tradeoff of LFIA’s rapidity and user-friendliness is its relatively low sensitivity (high limit of detection), which restricts its applicability for detecting low-abundant targets. An increase in LFIA’s sensitivity has attracted many efforts and is often considered one of the primary directions in developing immunochemical POC assays. Post-assay enhancements based on chemical reactions facilitate high sensitivity. In this critical review, we explain the performance of post-assay chemical enhancements, discuss their advantages, limitations, compared limit of detection (LOD) improvements, and required time for the enhancement procedures. We raise concerns about the performance of enhanced LFIA and discuss the bottlenecks in the existing experiments. Finally, we suggest the experimental workflow for step-by-step development and validation of enhanced LFIA. This review summarizes the state-of-art of LFIA with chemical enhancement, offers ways to overcome existing limitations, and discusses future outlooks for highly sensitive testing in POC conditions.

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“…In order to obtain high sensitivity, nanozymes can be applied to a signal probe to amplify the signal. Inspired by the “elephant toothpaste” experiment, Liu and co-workers developed a novel and low-cost portable foam immunoassay method [ 74 ]. The peroxidase-like nanozymes’ gold and platinum nanoparticles (Au@Pt NP) catalyzed the foam generation reaction to produce a sensitive height readout.…”

Section: Immunoassay Based On Nanozymesmentioning

confidence: 99%

Recent Advances in the Immunoassays Based on Nanozymes

et al. 2022

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As a rapid and simple method for the detection of multiple targets, immunoassay has attracted extensive attention due to the merits of high specificity and sensitivity. Notably, enzyme-linked immunosorbent assay (ELISA) is a widely used immunoassay, which can provide high detection sensitivity since the enzyme labels can promote the generation of catalytically amplified readouts. However, the natural enzyme labels usually suffer from low stability, high cost, and difficult storage. Inspired by the advantages of superior and tunable catalytic activities, easy preparation, low cost, and high stability, nanozymes have arisen to replace the natural enzymes in immunoassay; they also possess equivalent sensitivity and selectivity, as well as robustness. Up to now, various kinds of nanozymes, including mimic peroxidase, oxidase, and phosphatase, have been incorporated to construct immunosensors. Herein, the development of immunoassays based on nanozymes with various types of detection signals are highlighted and discussed in detail. Furthermore, the challenges and perspectives of the design of novel nanozymes for widespread applications are discussed.

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A quantitative foam immunoassay for detection of Escherichia coli O157:H7 based on bimetallic nanocatalyst‑gold platinum

Cited by 20 publications

References 29 publications

Virus detection using nanoparticles and deep neural network–enabled smartphone system

Virus detection using nanoparticles and deep neural network–enabled smartphone system

Post-Assay Chemical Enhancement for Highly Sensitive Lateral Flow Immunoassays: A Critical Review

Recent Advances in the Immunoassays Based on Nanozymes

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