Soft sensor for real-time estimation of tablet potency in continuous direct compression manufacturing operation

被引:9
|
作者
Kamyar, Reza [1 ]
Pla, David Lauri [1 ]
Husain, Anas [2 ]
Cogoni, Giuseppe [3 ]
Wang, Zilong [1 ]
机构
[1] Pfizer Inc, Pfizer Global Supply, Peapack, NJ 07931 USA
[2] Pfizer Inc, Pfizer Global Supply, Freiburg, Germany
[3] Pfizer Inc, Worldwide Res & Dev, Groton, CT 06340 USA
关键词
Soft sensor; Continuous direct compression; Real-time potency estimation; Process control strategy; PHARMACEUTICAL TABLETS; GRANULATION PROCESS; MULTISCALE; FLOWSHEET; DESIGN; MODEL; PURIFICATION; BATCH; FLOW;
D O I
10.1016/j.ijpharm.2021.120624
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
One of the critical quality attributes of the solid oral dosage forms produced in continuous direct compression operations is the tablet potency. A novel soft sensor comprising of a combination of first principle-based and empirical models has been developed to enable real-time monitoring of blend and tablet potency, and concentrations of other excipients at various stream levels along the direct compression line. The soft sensor model has only three adjustable parameters, primarily associated with the equipment design and operation, so the model is product agnostic which is key to enable flexible manufacturing. The estimation accuracy of the soft sensor is demonstrated through a series of real time experiments which include steady state and dynamic transitions of potency during the runs, compared with offline analytically tested tablet cores. The results indicate that the proposed soft sensor can be utilized as a robust tool for real-time monitoring of potency, suggesting an extension of its utilization to higher levels of control. Two potential applications of the soft sensor are: 1. An element of a control strategy for product diversion; 2. A predictive model for advanced process control strategy to minimize the variability in tablet composition.
引用
收藏
页数:13
相关论文
共 50 条
  • [21] Noninvasive Microwave Sensor for Real-Time Continuous Dehydration Monitoring
    Baghelani, Masoud
    Abbasi, Zahra
    Daneshmand, Mojgan
    Light, Peter E.
    IEEE SENSORS JOURNAL, 2024, 24 (07) : 9959 - 9969
  • [22] A Wireless Wearable Sensor Patch for the Real-Time Estimation of Continuous Beat-to-Beat Blood Pressure
    Qiu, Chunkai
    Wu, Taiyang
    Redoute, Jean-Michel
    Yuce, Mehmet Rasit
    2019 41ST ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2019, : 6842 - 6845
  • [23] Model-based real-time optimization in continuous pharmaceutical manufacturing
    Damiri, Hazem
    Steinberger, Martin
    Kuchler, Lisa
    Azimi, Atabak
    Martinuzzi, Stefano
    Sagmeister, Peter
    Williams, Jason D.
    Koch, Stefan
    Tranninger, Markus
    Rehrl, Jakob
    Celikovic, Selma
    Sacher, Stephan
    Kappe, C. Oliver
    Horn, Martin
    COMPUTERS & CHEMICAL ENGINEERING, 2025, 192
  • [24] Real-Time Estimation of Perception Sensor Misalignment in Autonomous Vehicles
    Meyer R.
    SAE International Journal of Advances and Current Practices in Mobility, 2023, 6 (01):
  • [25] Robust and real-time rotation estimation of compound omnidirectional sensor
    Thanh, Trung Ngo
    Nagahara, Hajime
    Sagawa, Ryusuke
    Mukaigawa, Yasuhiro
    Yachida, Masahiko
    Yagi, Yasushi
    PROCEEDINGS OF THE 2007 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS 1-10, 2007, : 4226 - +
  • [26] Virtual sensor for real-time estimation of the vehicle sideslip angle
    Singh, Kanwar Bharat
    SENSOR REVIEW, 2020, 40 (02) : 255 - 272
  • [27] Significance of sensor location in real-time traffic state estimation
    Ahmed, Afzal
    Watling, David
    Ngoduy, Dong
    FOURTH INTERNATIONAL SYMPOSIUM ON INFRASTRUCTURE ENGINEERING IN DEVELOPING COUNTRIES, (IEDC 2013), 2014, 77 : 114 - 122
  • [28] Real-Time Velocity Estimation Algorithm for a Multivariable Motion Sensor
    Mazzoli, Federico
    Alghisi, Davide
    Ferrari, Vittorio
    2022 IEEE 27TH INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION (ETFA), 2022,
  • [29] Sensor based real-Time information for monitoring and control of a manufacturing process
    Mishra, Debasish
    Gupta, Abhinav
    Raj, Pranav
    Kumar, Aman
    Anwer, Saad
    Pal, Surjya K.
    Chakravarty, Debashish
    Pal, Srikanta
    Engineering Research Express, 2021, 3 (02):
  • [30] Real-Time Nonlinear State Estimation in Polymerization Reactors for Smart Manufacturing
    Salas, Santiago D.
    Chebeir, Jorge
    Tronci, Stefania
    Baratti, Roberto
    Romagnoli, Jose A.
    28TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, 2018, 43 : 1207 - 1212