Plasmonic single nanoparticle for resonance light scattering imaging analysis and applications

Pan, Zi Yu; Huang, Cheng; Zhan, Lei; Zhou, Jun

doi:10.1016/j.trac.2023.117090

Cited by 14 publications

(6 citation statements)

References 143 publications

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“…Model calculations show that defect-induced damping can effectively reduce the light scattering of PNPs and significantly improve their PCE, especially for PNPs with sufficiently large sizes (Au and Ag greater than ~100 nm), and they have found that defect-induced damping significantly improves their light absorption and photothermal performances [ 26 ]. Certainly, the shapes of the silver nanoparticles have a significant effect on the photothermal conversion efficiencies, such as quasi-spherical silver nanoparticles, silver nanorods, silver nanocubes, Ag–Rh core-framework nanocubes, and silver prismatic nanocubes [ 27 ]. Among all the shapes of silver materials, silver nanoprisms have great potential in photothermal therapy (PTT) due to their strong surface plasmon resonance bands in the near-infrared region [ 28 ].…”

Section: Mechanistic Study Of Noble Metal Nanoparticles For Photother...mentioning

confidence: 99%

Noble Metal Nanoparticle-Based Photothermal Therapy: Development and Application in Effective Cancer Therapy

Yu,

Xia,

Yang

et al. 2024

IJMS

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Photothermal therapy (PTT) is a promising cancer therapy modality with significant advantages such as precise targeting, convenient drug delivery, better efficacy, and minimal adverse effects. Photothermal therapy effectively absorbs the photothermal transducers in the near-infrared region (NIR), which induces the photothermal effect to work. Although PTT has a better role in tumor therapy, it also suffers from low photothermal conversion efficiency, biosafety, and incomplete tumor elimination. Therefore, the use of nanomaterials themselves as photosensitizers, the targeted modification of nanomaterials to improve targeting efficiency, or the combined use of nanomaterials with other therapies can improve the therapeutic effects and reduce side effects. Notably, noble metal nanomaterials have attracted much attention in PTT because they have strong surface plasmon resonance and an effective absorbance light at specific near-infrared wavelengths. Therefore, they can be used as excellent photosensitizers to mediate photothermal conversion and improve its efficiency. This paper provides a comprehensive review of the key role played by noble metal nanomaterials in tumor photothermal therapy. It also describes the major challenges encountered during the implementation of photothermal therapy.

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Section: Mechanistic Study Of Noble Metal Nanoparticles For Photother...mentioning

confidence: 99%

Noble Metal Nanoparticle-Based Photothermal Therapy: Development and Application in Effective Cancer Therapy

Yu,

Xia,

Yang

et al. 2024

IJMS

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“…Furthermore, the complexity of these models often leads to overfitting. In this work, the image of the pH test strips primarily reflects color information. , Using a deep learning model for this task can easily result in the extraction of overly complex and redundant features, potentially leading to overfitting. Moreover, the limited quantity of image data available makes it challenging to effectively adjust the numerous parameters in deep learning models.…”

Section: Introductionmentioning

confidence: 99%

Efficient and Accurate pH Determination with pH Test Strips Based on Machine Learning

Xiong,

Ma,

Liu

et al. 2024

Anal. Chem.

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The determination of pH values is crucial in various fields, such as analytical chemistry, medical diagnostics, and biochemical research. pH test strips, renowned for their convenience and cost-effectiveness, are commonly utilized for pH qualitative estimation. Recently, quantitative methods for determining pH values using pH test strips have been developed. However, these methods can be prone to errors due to environmental factors, such as lighting conditions, which affect the imaging quality of the pH test strips. To address these challenges, we developed an innovative approach that combines machine learning techniques with pH test strips for the quantitative determination of pH values. Our method involves extracting artificial features from the pH test strip images and combining them across multiple dimensions for comprehensive analysis. To ensure optimal feature selection, we developed a feature selection strategy based on SHAP importance. This strategy helps in identifying the most relevant features that contribute to accurate pH prediction. Furthermore, we integrated multiple machine learning algorithms, employing a robust stacking fusion strategy to establish a highly reliable pH value prediction model. Our proposed method automates the determination of pH values through pH test strips, effectively overcoming the limitations associated with environmental lighting interference. Experimental results demonstrate that this method is convenient, effective, and highly reliable for the determination of pH values.

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“…At the plasmon resonant frequency, the particle shows an optical extinction maximum, which is dominated by the scattering cross-section according to Mie theory if their sizes and shapes meet specific conditions . In the presence of specific analytes, PNPs could undergo aggregation or disaggregation processes associated with sensitive LSPR peak changes, consequently enabling them to be exploited as nanosensors, and are widely used for biointerfacial science, especially for biomacromolecules interacting at solid–liquid interfaces. − LSPR spectral variations are usually measured by UV–vis spectroscopy . However, this method cannot tackle quantification well if the LSPR peak shifts out of the UV–vis spectroscopy range.…”

Section: Introductionmentioning

confidence: 99%

Determination of the Localized Surface Plasmon Resonance Alteration of AgNPs via Multiwavelength Evanescent Scattering Microscopy for Pb(II) Detection

Rao,

Cao,

Geng

et al. 2024

ACS Appl. Mater. Interfaces

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We developed multiwavelength evanescent scattering microscopy (MWESM), which can acquire plasmonic nanoparticle images at the particle level using the evanescent field as the incident source and distinguish different LSPR (localized surface plasmon resonance) spectral peaks among four wavelengths. Our microscope could be easily and simply built by modifying a commercial total internal reflection fluorescence microscope (TIRFM) with the substitution of a beamsplitter and the addition of a semicircular stop. The ultrathin depth of illumination and rejection of the reflected incident source together contribute to the high sensitivity and contrast of single nanoparticle imaging. We first validated the capability of our imaging system in distinguishing plasmonic nanoparticles bearing different LSPR spectral peaks, and the results were consistent with the scattering spectra results of hyperspectral imaging. Moreover, we demonstrated high imaging quality from the aspects of the signal/noise ratio and point spread function of the singleparticle images. Meaningfully, the system can be utilized in rapidly determining the concentration of toxic lead ions in environmental and biological samples with good linearity and sensitivity, based on single-particle evanescent scattering imaging through the detection of the alteration of the LSPR of silver nanoparticles. This system holds the potential to advance the field of nanoparticle imaging and foster the application of nanomaterials as sensors.

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Plasmonic single nanoparticle for resonance light scattering imaging analysis and applications

Cited by 14 publications

References 143 publications

Noble Metal Nanoparticle-Based Photothermal Therapy: Development and Application in Effective Cancer Therapy

Noble Metal Nanoparticle-Based Photothermal Therapy: Development and Application in Effective Cancer Therapy

Efficient and Accurate pH Determination with pH Test Strips Based on Machine Learning

Determination of the Localized Surface Plasmon Resonance Alteration of AgNPs via Multiwavelength Evanescent Scattering Microscopy for Pb(II) Detection

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