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Calibration transfer in pharmaceutical process engineering

Calibration transfer in pharmaceutical process engineering
制药过程工程中的校准传输
批准号:
RGPIN-2019-06566
负责人:
Gosselin, Ryan
金额:
$3.35万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2020
资助国家:
加拿大
项目状态:
已结题
起止时间:
2020-01-01 至 2021-12-31

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中文摘要
翻译
我的研究项目侧重于开发监测和优化工业过程的方法。具体来说,我的工作是过程分析技术(PAT),例如近红外探头(NIR),以提供产品的实时信息。这些探针对于适当的监测、理解和控制至关重要。为此,他们需要多元数学模型将原始数据转换为感兴趣的变量(例如,将近红外光谱转换为成分)。然而,PAT的实现受到大规模校准模型的时间和成本的限制。在小型系统上校准模型并将其应用于工业系统要简单得多,成本也低得多。然而,这种转移并不容易完成。即使采集条件(如照明强度)和材料特性(如样品密度)的微小差异也可能足以防止直接模型转移(CT:校准转移)。因此,多功能CT的发展对工业规模和建模至关重要。
英文摘要
My research program focuses on the development of methods to monitor and optimize industrial processes. Specifically, I work on Process Analytical Technologies (PAT), such as near infrared probes (NIR), to provide real-time information on the products. These probes are critical to proper monitoring, understanding and control. To do so, they require multivariate mathematical models to convert the raw data into a variable of interest (e.g. a NIR spectrum into composition). However, PAT implementation is limited by the time and cost to calibrate the models at large scales. It is much simpler and cost efficient to calibrate models on small systems and apply them to industrial ones. However, this transfer is not easily done. Even minor differences in acquisition conditions (e.g. lighting intensity) and material properties (e.g. sample density) may be enough to prevent direct model transfer (CT: calibration transfer). The development of versatile CT is therefore critical to industrial scale up and modeling. I propose to develop better methods for CT from small scale applications to larger ones. This is critical to the improvement of manufacturing to improve process understanding, safety and efficiency. It is also critical to the development of new production methods, such as the replacing batch processes by continuous ones. I specialize in process engineering and on-line monitoring through the use of multivariate data analysis. My short-term objectives seek to develop PAT to monitor pharmaceutical processes. My project contains 2 inter-related themes: - Theme 1 centers on calibration transfer for tablet press units used to produce pharmaceutical tablets. The novelty lies in the use of the spatial information present in the flowing in the press powder (such as segregation) to improve calibration transfer - Theme 2 centers on calibration transfer for fluid bed coating units used for taste masking in the pharmaceutical products. The novelty lies in the use of the temporal information of the batch process (its dynamics) to improve calibration transfer While tailored to a pharmaceutical context, this project pertains to any manufacturing sector. Beyond this, improved process monitoring methods, especially those available at low cost, are liable to impact any industrial production. This project seeks to put students in a position to grasp advanced concepts of quality control, process monitoring and applied statistics. These key notions are critical to the well-being of our industries and the next generation of engineers must be trained to master them.
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Calibration transfer in pharmaceutical process engineering
  • 批准号:
    RGPIN-2019-06566
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.35万
  • 财政年份:
    2022
  • 负责人:
    Gosselin, Ryan
  • 依托单位:
Calibration transfer in pharmaceutical process engineering
  • 批准号:
    RGPIN-2019-06566
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.35万
  • 财政年份:
    2021
  • 负责人:
    Gosselin, Ryan
  • 依托单位:
Calibration transfer in pharmaceutical process engineering
  • 批准号:
    RGPIN-2019-06566
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.35万
  • 财政年份:
    2019
  • 负责人:
    Gosselin, Ryan
  • 依托单位:
Développpement de technologies d'analyse de procédés en contexte industriel
  • 批准号:
    402368-2011
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.19万
  • 财政年份:
    2017
  • 负责人:
    Gosselin, Ryan
  • 依托单位:
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