Recent progress in the optical detection of pathogenic bacteria based on noble metal nanoparticles

Yang, Shou-Zhi; Liu, Qi-Ao; Liu, Yanling; Weng, Guo-jun; Zhu, Jian; Li, Jianjun

doi:10.1007/s00604-021-04885-z

Cited by 37 publications

(14 citation statements)

References 159 publications

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“…[7] Nanomaterialbased approaches for microorganism identifi cation mainly include labelbased and labelfree strategies. [8,9] The labelbased approach employs probes such as aptamers or antibodies to selectively target the microorganisms. In contrast, the labelfree approach detects microorganisms using microbial fingerprints without any label, because each microorganism has an intrinsic fingerprint of biomolecules such as polysac charides, amino acids, nucleic acids, lipids, carbohydrates, and proteins.…”

Section: Introductionmentioning

confidence: 99%

A New Strategy for Microbial Taxonomic Identification through Micro‐Biosynthetic Gold Nanoparticles and Machine Learning

et al. 2022

Advanced Materials

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Scheme 1. Schematic illustration of microbial taxonomic identification through biosynthetic AuNPs and machine learning. 1) Microorganism-mediated biosynthesis of AuNPs in solution. 2) Characterizations of biosynthetic AuNPs including diameter, SPR spectrum, surface potential, and transmission electron microscopy (TEM). 3) Features of the biosynthetic AuNPs as a data set of input for machine-learning-based analysis. 4) Data processing and analysis including PCA, LDA, and RF. 5) Output of the data analysis for visualization, including scatter charts, histograms, and line charts. 6) Taxonomic identification and the clustering tree through machine-learning-based analysis of biosynthetic AuNPs.

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Section: Introductionmentioning

confidence: 99%

A New Strategy for Microbial Taxonomic Identification through Micro‐Biosynthetic Gold Nanoparticles and Machine Learning

et al. 2022

Advanced Materials

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“…In addition, nanoparticles have been preferred for labeling in detection techniques and have enabled multiplex analysis to be carried out. Nanoparticles are also promising in the design of sensor devices, such as SERS substrates, which are ultimate tools for sensitive pathogen detection [ 30 , 31 , 32 ].…”

Section: Introductionmentioning

confidence: 99%

Escherichia coli Enumeration in a Capillary-Driven Microfluidic Chip with SERS

et al. 2022

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Pathogen detection is still a challenging issue for public health, especially in food products. A selective preconcentration step is also necessary if the target pathogen concentration is very low or if the sample volume is limited in the analysis. Plate counting (24–48 h) methods should be replaced by novel biosensor systems as an alternative reliable pathogen detection technique. The usage of a capillary-driven microfluidic chip is an alternative method for pathogen detection, with the combination of surface-enhanced Raman scattering (SERS) measurements. Here, we constructed microchambers with capillary microchannels to provide nanoparticle–pathogen transportation from one chamber to the other. Escherichia coli (E. coli) was selected as a model pathogen and specific antibody-modified magnetic nanoparticles (MNPs) as a capture probe in a complex milk matrix. MNPs that captured E. coli were transferred in a capillary-driven microfluidic chip consisting of four chambers, and 4-aminothiophenol (4-ATP)-labelled gold nanorods (Au NRs) were used as the Raman probe in the capillary-driven microfluidic chip. The MNPs provided immunomagnetic (IMS) separation and preconcentration of analytes from the sample matrix and then, 4-ATP-labelled Au NRs provided an SERS response by forming sandwich immunoassay structures in the last chamber of the capillary-driven microfluidic chip. The developed SERS-based method could detect 101–107 cfu/mL of E. coli with the total analysis time of less than 60 min. Selectivity of the developed method was also tested by using Salmonella Enteritidis (S. Enteritidis) and Staphylococcus aureus (S. aureus) as analytes, and very weak signals were observed.

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“…Surface plasmons have attracted much attention due to their ability to alter photon interactions at nanoscale and their various applications, such as optical waveguides, nonlinear optics, as well as surface-enhanced spectroscopy, etc. [2,3,4] Compared with structures with certain symmetry, symmetry-breaking systems provide us with great plasmonic tunability, thanks to its non-uniform electromagnetic fields, and the induced multiple plasmonic modes [5]. To date, symmetry-breaking structures have been shown to have useful optical properties and a wide range of applications [6,7].…”

Section: Introductionmentioning

confidence: 99%

Plasmonic characteristics of rhodium dual broken nanorings in UV-visible regime

Zhang

Xiong

Dong

et al. 2022

Preprint

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This work reports on the plasmonic properties of a symmetry-breaking system consisting of rhodium dual broken nanorings, in the ultraviolet-visible regime. In the structure, two rhodium broken rings are located with a separation on the scale of nanometers. As the separation, the light polarization, and the relative orientation of the broken angles are respectively varied, the plasmonic scattering efficiency of the system is investigated, using the finite difference time domain method. Multiple plasmonic resonances are revealed, and the associated asymmetry-induced Fano-like lineshapes are fitted to a model that employs multiple Fano lineshape functions. The resonance wavelengths, the spectral widths, and the characteristic q values are determined from the best fit parameters, and the plasmonic characteristics of the system are quantitatively probed. The results in this work may be beneficial in designs of plasmonic devices that operates at ultraviolet-visible wavelengths.

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Recent progress in the optical detection of pathogenic bacteria based on noble metal nanoparticles

Cited by 37 publications

References 159 publications

A New Strategy for Microbial Taxonomic Identification through Micro‐Biosynthetic Gold Nanoparticles and Machine Learning

A New Strategy for Microbial Taxonomic Identification through Micro‐Biosynthetic Gold Nanoparticles and Machine Learning

Escherichia coli Enumeration in a Capillary-Driven Microfluidic Chip with SERS

Plasmonic characteristics of rhodium dual broken nanorings in UV-visible regime

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