Chemical imaging: An innovative tool for particulate matter characterization and sorting

被引:1
作者
Bonifazi, Giuseppe [1 ]
Serranti, Silvia [1 ]
机构
[1] Sapienza Univ Roma, Dipartimento Ingn Chim Mat Ambiente, Vie Eudosssiana 18, I-00184 Rome, Italy
关键词
Characterization; chemical Imaging; particulate solids; quality control; QUALITY-CONTROL; CLASSIFICATION; WASTE; SPECTROSCOPY; SYSTEM; LIBS;
D O I
10.1080/02726351.2015.1115453
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
A fast, reliable, and low-cost characterization of particulate products as fed to a process, and/or resulting from different processing actions, represents one of the most challenging targets in the particulate solids handling sector. An adequate response of the industry to the market can only be given through the utilization of equipment and procedures ensuring pure, high-quality production, and efficient work and cost. All these goals can be reached by adopting not only more efficient equipment and layouts, but also by introducing new processing logics able of realizing full control of the flow stream characteristics of the handled material. Today, thanks to strong technological development, different techniques are available according to different sampling strategies and analytical principles to detect specific physicochemical attributes of particles. These represent the key factor in performing full process monitoring and/or applying specific control/tuning actions to the process itself. In this paper the principles and possibilities offered by the adoption of specialized devices allowing the development of online acquisition/processing strategies, based on chemical (or hyperspectral) imaging and finalized to perform particulate solid stream characterization, inspection, and quality control actions, are investigated and discussed.
引用
收藏
页码:470 / 482
页数:13
相关论文
共 50 条
  • [21] Particle size, morphology and characterization of indoor and outdoor airborne particulate matter for toxic metals in Karachi
    Ali, N.
    Adil, I
    Magsi, A.
    Asif, E.
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY, 2020, 17 (09) : 3969 - 3982
  • [22] Particle size, morphology and characterization of indoor and outdoor airborne particulate matter for toxic metals in Karachi
    N. Ali
    I. Adil
    A. Magsi
    E. Asif
    International Journal of Environmental Science and Technology, 2020, 17 : 3969 - 3982
  • [23] Investigating the long-range transport of particulate matter in East Asia: Introducing a new Lagrangian diagnostic tool
    Pouyaei, Arman
    Choi, Yunsoo
    Jung, Jia
    Mousavinezhad, Seyedali
    Momeni, Mahmoudreza
    Song, Chul Han
    ATMOSPHERIC ENVIRONMENT, 2022, 278
  • [24] FT-IR Analysis and Hyperspectral Imaging Applied to Postconsumer Plastics Packaging Characterization and Sorting
    Bonifazi, Giuseppe
    Di Maio, Francesco
    Potenza, Fabio
    Serranti, Silvia
    IEEE SENSORS JOURNAL, 2016, 16 (10) : 3428 - 3434
  • [25] Near infrared hyperspectral imaging for the prediction of gaseous and particulate matter emissions from pine wood pellets
    Gillespie, Gary D.
    Gowen, Aoife A.
    Finnan, John M.
    Carroll, John P.
    Farrelly, Damien J.
    McDonnell, Kevin P.
    BIOSYSTEMS ENGINEERING, 2019, 179 : 94 - 105
  • [26] Correlated Materials Characterization via Multimodal Chemical and Functional Imaging
    Belianinov, Alex
    Ievlev, Anton V.
    Lorenz, Matthias
    Borodinov, Nikolay
    Doughty, Benjamin
    Kalinin, Sergei V.
    Fernandez, Facundo M.
    Ovchinnikova, Olga S.
    ACS NANO, 2018, 12 (12) : 11798 - 11818
  • [27] Fluorescence Lifetime Imaging Microscopy (FLIM) as a Tool to Understand Chemical Reactions and Catalysis
    Lopez, Pia A.
    Blum, Suzanne A.
    ACS CATALYSIS, 2024, 14 (22): : 17132 - 17147
  • [28] Enumeration and molecular characterization of circulating tumor cells as an innovative tool for companion diagnostics in breast cancer
    Harigopal, Malini
    Kowalski, Diane
    Vosoughi, Aram
    EXPERT REVIEW OF MOLECULAR DIAGNOSTICS, 2020, 20 (08) : 815 - 828
  • [29] Microbiological and chemical characterization of water kefir: An innovative source of potential probiotics for bee nutrition
    Rodriguez, Maria A.
    Fernandez, Leticia A.
    Diaz, Marina L.
    Perez, Monica
    Corona, Miguel
    Reynaldi, Francisco J.
    REVISTA ARGENTINA DE MICROBIOLOGIA, 2023, 55 (02): : 176 - 180
  • [30] Particulate matter characterization by gray level co-occurrence matrix based support vector machines
    Manivannan, K.
    Aggarwal, P.
    Devabhaktuni, V.
    Kumar, A.
    Nims, D.
    Bhattacharya, P.
    JOURNAL OF HAZARDOUS MATERIALS, 2012, 223 : 94 - 103