Model-based design for water-soluble crystals with anti-caking function by the feedback between caking prediction and crystallization control

被引:4
作者
Li, Jiahui [1 ,2 ]
Guo, Shengzheng [1 ,2 ]
Liu, Yanbo [1 ,2 ]
Yan, Hui [1 ,2 ]
Li, Mingxuan [1 ,2 ]
Tong, Li [4 ]
Gao, Ye [4 ]
Chen, Mingyang [1 ,2 ,4 ]
Wu, Songgu [1 ,2 ]
Gong, Junbo [1 ,2 ,3 ,4 ]
机构
[1] Tianjin Univ, Sch Chem Engn & Technol, State Key Lab Chem Engn, Tianjin 300072, Peoples R China
[2] Haihe Lab Sustainable Chem Transformat, Tianjin 300192, Peoples R China
[3] Chem & Chem Engn Guangdong Lab, Shantou 515031, Peoples R China
[4] Tianjin Univ, Inst Shaoxing, Zhejiang 312300, Peoples R China
基金
美国国家科学基金会;
关键词
Anti; -caking; Water-soluble crystals; Caking tendency prediction; Crystallization control; Mean particle size; BATCH COOLING CRYSTALLIZATION; SIZE DISTRIBUTION; PARTICLE-SIZE; PRODUCT CRYSTAL; SODIUM-CHLORIDE; NUCLEATION; HUMIDITY; LACTOSE; GROWTH; STRENGTH;
D O I
10.1016/j.ces.2023.118568
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Water-soluble crystals with anti-caking function have become high-end products, whereas they are pre-pared by trial and error due to the lack of quantitative correlation between particle size and caking ten-dency, as well as the absence of the models for global consideration between caking and crystallization. This work presents a coupled Caking-Size-Crystallization (CSC) model, which connects the front-end crystallization process and the post-end caking process to achieve the closed-loop design of the anti -caking function for the first time. The CSC model can directly generate the optimal cooling trajectory to crystallize the product free of caking. The introduction of the caking constant term, the mean particle size and the Mullin-Nyvlt's theory improve the design efficiency by an order of magnitude with the pre-cision guaranteed. This model-based approach presents an opportunity to find optimal crystallization operating profiles with diverse crystal seed loading strategies that meet both product function and man-ufacturability demands.(c) 2023 Elsevier Ltd. All rights reserved.
引用
收藏
页数:14
相关论文
共 39 条
  • [1] Optimal seed recipe design for crystal size distribution control for batch cooling crystallisation processes
    Aamir, E.
    Nagy, Z. K.
    Rielly, C. D.
    [J]. CHEMICAL ENGINEERING SCIENCE, 2010, 65 (11) : 3602 - 3614
  • [2] Secondary Crystal Nucleation: Nuclei Breeding Factory Uncovered
    Anwar, Jamshed
    Khan, Shahzeb
    Lindfors, Lennart
    [J]. ANGEWANDTE CHEMIE-INTERNATIONAL EDITION, 2015, 54 (49) : 14681 - 14684
  • [3] Low-cost synthesis and utilization in mini-tubular electrodes of nano PbO2
    Bervas, M.
    Perrin, M.
    Genies, S.
    Mattera, F.
    [J]. JOURNAL OF POWER SOURCES, 2007, 173 (01) : 570 - 577
  • [4] Structure and activity of the anticaking agent iron(III) meso-tartrate
    Bode, Arno A. C.
    Granneman, Sanne J. C.
    Feiters, Martin C.
    Verwer, Paul
    Jiang, Shanfeng
    Meijer, Jan A. M.
    van Enckevort, Willem J. P.
    Vlieg, Elias
    [J]. DALTON TRANSACTIONS, 2016, 45 (15) : 6650 - 6659
  • [5] Influence of anticaking agents on the caking of sodium chloride at the powder and two-crystal scale
    Bode, Arno A. C.
    Verschuren, Melvin
    Jansen, Martin
    Jiang, Shanfeng
    Meijer, Jan A. M.
    van Enckevort, Willem J. P.
    Vlieg, Elias
    [J]. POWDER TECHNOLOGY, 2015, 277 : 262 - 267
  • [6] Measurement and quantification of caking in excipients and food products with emphasis on the non-homogeneous interaction with ambient moisture
    Brockbank, Katrina
    Armstrong, Brian
    Clayton, Jamie
    [J]. PARTICUOLOGY, 2021, 56 : 75 - 83
  • [7] Capillary forces: Influence of roughness and heterogeneity
    Butt, Hans-Juergen
    [J]. LANGMUIR, 2008, 24 (09) : 4715 - 4721
  • [8] How does particle size influence caking in lactose powder?
    Carpin, M.
    Bertelsen, H.
    Dalberg, A.
    Bech, J. K.
    Risbo, J.
    Schuck, P.
    Jeantet, R.
    [J]. JOURNAL OF FOOD ENGINEERING, 2017, 209 : 61 - 67
  • [9] Caking of lactose: A critical review
    Carpin, M.
    Bertelsen, H.
    Bech, J. K.
    Jeantet, R.
    Risbo, J.
    Schuck, P.
    [J]. TRENDS IN FOOD SCIENCE & TECHNOLOGY, 2016, 53 : 1 - 12
  • [10] The time and location dependent prediction of crystal caking by a modified crystal bridge growth model and DEM simulation considering particle size and shape
    Chen, Mingyang
    Yu, Changyou
    Yao, Menghui
    Liu, Xinyu
    Xu, Shijie
    Tang, Weiwei
    Dong, Weibing
    Gong, Junbo
    [J]. CHEMICAL ENGINEERING SCIENCE, 2020, 214