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    Automatic monitoring and quantitative characterization of sedimentation dynamics for non-homogenous systems based on image profile analysis

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    Publication date
    2015-09
    Author
    Lu, X.
    Liao, Z.
    Li, X.
    Wang, M.
    Wu, L.
    Li, H.
    York, Peter
    Xu, X.
    Yin, X.
    Zhang, J.
    Keyword
    Non-homogeneous system
    ; Derivative mutation algorithm
    ; Automatic monitoring
    ; Image processing
    ; Sedimentation dynamics
    ; Suspensions
    ; Level measuring system
    ; Beer-Lambert law
    ; Activated-sludge
    ; Settling velocity
    ; Physical stability
    ; Treatment plants
    ; Emulsions
    ; Suspensions
    ; Size
    ; Nanoparticles
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    Peer-Reviewed
    Yes
    
    Metadata
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    Abstract
    Sedimentation of non-homogeneous systems is the typical phenomenon indicating the physical instability as a key measure to the quality control of the preparation products. Currently, the determination methods for the sedimentation of non-homogeneous preparations are based on manual measurement or semi-quantitative observation, lacking of either automation or quantitative dynamic analysis. The purpose of this research was to realize automatic and quantitative monitoring of the sedimentation dynamics for non-homogenous systems as suspension, emulsions at laboratory level. Non-contact measurement method has been established to determine the sedimentation behaviors in a standard quartz tube for sedimentation, with internal diameter and height 23 mm and 215 mm, respectively, with controlled temperature and light intensity. As high performance camera has been equipped, the sedimentation images with high spatial and temporal resolution could be acquired, which can continuously capture sedimentation images with the resolution of 2048 x 2048 pixel at a maximum rate of 60 slides/s. All the pictures were processed to extract the luminance matrix top-down along the fixed vertical midline of each picture, which implied sedimentation characteristics of the system at the moment the picture was taken. Combining all the luminance matrixes along vertical middle lines of the pictures, a time-luminance matrix profile was obtained. Digital image processing techniques were used to eliminate interference and establish a three-dimensional surface model of the sedimentation dynamics. Then, the derivative mutation algorithm has been developed for the intelligent identification of sedimentation interface with threshold optimization so as to quantitatively analyze the sedimentation dynamics with visualization. The sedimentation curve and sedimentation dynamic equation of the non-homogeneous system were finally outputted by numerical fitting. The methodology was validated for great significance in determinations of small volume samples, parallel control multiple batches, and long period of time automatic measurement. (C) 2015 Elsevier B.V. All rights reserved.
    URI
    http://hdl.handle.net/10454/9374
    Version
    No full-text available in the repository
    Citation
    Lu XL, Liao ZH, Li X et al (2015) Automatic monitoring and quantitative characterization of sedimentation dynamics for non-homogenous systems based on image profile analysis. Powder Technology. 281: 49-56.
    Link to publisher’s version
    http://dx.doi.org/10.1016/j.powtec.2015.04.080
    Type
    Article
    Collections
    Engineering and Informatics Publications

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