Novel Optical Fiber Dynamic Light Scattering Measurement System for Nanometer Particle Size

Chen, Zhemin; Hu, Pengbing; Meng, Qingqiang; Dong, Xinyong

doi:10.1155/2013/250121

Cited by 7 publications

(7 citation statements)

References 9 publications

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“…In particular, when using one single detector, it enables time-shared multiplexing either between different optical lines aligned to observe different q -values and/or between polarized versus depolarized modes (standard DLS vs DDLS), whose combination enables better characterization . This also waives the necessity of a motorized precision goniometer and the utilization of multiple parallel detection/correlation units, which are required for multiangle DLS apparatus (MALS or MDLS). , A lower price–performance ratio is evidently desirable when anticipating an eventual priority of miniaturization and integration of depolarized light scattering into, for example, microfluidic lab-on-a-chip platforms dedicated to automation and parallelization for high-throughput. − …”

Section: Discussionmentioning

confidence: 99%

Speckle-Visibility Spectroscopy of Depolarized Dynamic Light Scattering

et al. 2017

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We show that the statistical analysis of photon counts in depolarized dynamic light scattering experiments allows for the accurate characterization of the rotational Brownian dynamics of particles. Unlike photon correlation spectroscopy, the technique is accurate even at low temporal resolution and enables discontinuous data acquisition, which offers several advantages. To demonstrate the usefulness of the method, we present a case study in which we analyze aqueous suspensions of tunicate cellulose nanocrystals and silica particles, and discuss aspects that are specific to particle sizing.

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Section: Discussionmentioning

confidence: 99%

Speckle-Visibility Spectroscopy of Depolarized Dynamic Light Scattering

et al. 2017

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“…On the practical side, there is a limitation in the manufacturing of the monodisperse PSLs. The target size of the particle diameter has the uncertainty in the range of 1 − 2 nm [32].…”

Section: Pre-processing and Searchmentioning

confidence: 99%

Machine learning techniques applied for the detection of nanoparticles on surfaces using coherent Fourier scatterometry

Kolenov

Pereira²

2020

Opt. Express

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We present an efficient machine learning framework for detection and classification of nanoparticles on surfaces that are detected in the far-field with coherent Fourier scatterometry (CFS). We study silicon wafers contaminated with spherical polystyrene (PSL) nanoparticles (with diameters down to λ/8). Starting from the raw data, the proposed framework does the pre-processing and particle search. Further, the unsupervised clustering algorithms, such as K-means and DBSCAN, are customized to be used to define the groups of signals that are attributed to a single scatterer. Finally, the particle count versus particle size histogram is generated. The challenging cases of the high density of scatterers, noise and drift in the dataset are treated. We take advantage of the prior information on the size of the scatterers to minimize the false-detections and as a consequence, provide higher discrimination ability and more accurate particle counting. Numerical and real experiments are conducted to demonstrate the performance of the proposed search and cluster-assessment techniques. Our results illustrate that the proposed algorithm can detect surface contaminants correctly and effectively.

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“…At present, most conventional particle size measurement instruments are based on the measurement of angular variation of scattered light intensity, which requires placing detectors in multiple scattering directions or rotating detectors to scan angles 5,6 . These configurations make the device bulky and not suitable for in-situ measurement in narrow space.…”

Section: Introductionmentioning

confidence: 99%

Fiber-optic particle sizer based on multi-spectral scattering

Wang

2023

14th International Photonics and Optoelectronics Meetings (POEM 2022)

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In-situ and real-time particle size measurements are necessary in many industrial fields, such as real-time monitoring of particle manufacturing process and intermediate process analysis of chemical reactions. Currently, most of the traditional laser particle size analyzers are bulky, not suitable for in-situ measurement in narrow space. Fiber-optic particle size analyzers based on white-light scattering usually have a slow detection rate and cannot meet the needs of real-time measurement. In this report, a fiber-optic particle sizer based on multi-spectral scattering for in-situ rapid measurement of particle size distribution is proposed. The particle size distribution is measured by a variety of light sources with different spectra based on the Mie scattering theory. We theoretically analyzed the feasibility of this technology and demonstrated in polystyrene microsphere suspensions. The results show that the fiber-optic particle sizer can achieve a measurement accuracy of 0.5μm in the measurement range of 3-15μm, with the measurement speed of 1kHz.

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Novel Optical Fiber Dynamic Light Scattering Measurement System for Nanometer Particle Size

Cited by 7 publications

References 9 publications

Speckle-Visibility Spectroscopy of Depolarized Dynamic Light Scattering

Speckle-Visibility Spectroscopy of Depolarized Dynamic Light Scattering

Machine learning techniques applied for the detection of nanoparticles on surfaces using coherent Fourier scatterometry

Fiber-optic particle sizer based on multi-spectral scattering

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