Considering Advanced Process Control for Solid-Dosage Manufacturing

March 21, 2018
Jennifer Markarian

Jennifer Markarian is manufacturing editor of Pharmaceutical Technology.

Equipment and Processing Report

Equipment and Processing Report, Equipment and Processing Report-03-21-2018, Volume 11, Issue 3

Process analytical technology and advanced process control strategies can be applied to either batch or continuous manufacturing of solid-dosage drugs.

Forward-thinking oral solid-dosage (OSD) drug manufacturers are working toward advanced process control (APC), which uses in-line measurements of process and end-product parameters as feedback to enable closed-loop control of either batch or continuous manufacturing processes. This control improves end-product quality and process reliability, robustness, and productivity. APC is in contrast to traditional control strategies, which do not have direct control of product properties but instead aim to keep process inputs at a setpoint (1). In APC, process variables are adjusted to keep the product within specification and reduce variability, taking into account any uncontrolled fluctuations in the input variables (e.g., from raw materials or equipment). Model-predictive control (MPC) is an APC technique that uses a model to predict how disturbances to input variables will affect the output.

PAT and modeling

Process analytical technology (PAT) is a crucial piece of the control system. Analytical data can come from instruments such as near infrared spectroscopy (NIR) as well as from soft sensors, which correlate properties based on measured process variables, such as feedrates or temperature (2). There is an ongoing debate over whether soft sensors or spectroscopic data are more reliable for determining product quality, and in many cases, both are being used in parallel. The current best practice, discussed in presentations at the International Foundation for Process Analytical Chemistry’s (IFPAC’s) 2018 annual meeting in February, is to use redundant measurements and assume that product quality is in specification only when measurements agree.

Although both spectroscopy and soft sensors use models to correlate measurements to product properties, spectroscopic PAT models are more complex and require more maintenance (i.e., to check that the model continues to be accurate over time). NIR models, for example, are built for specific throughput ranges and specific raw materials, and a significant change might make a model invalid (2). One of the challenges for the industry, noted experts at IFPAC, is to validate and maintain models throughout the product lifecycle.

Continuous process control

APC is important for OSD continuous manufacturing because the unit operations are integrated, and a change in one will directly affect the others. Residence-time distribution (RTD) and flow-sheet models are tools for understanding how the material moves through the integrated system. They can be used to help determine when a disturbance in an input will be felt in the next operation, so that the process can be brought back into control and out-of-specification product can be diverted.

These tools are being used for continuous manufacturing processes, noted presenters at IFPAC. Additional tools are also being developed. For example, researchers at the Center for Structured Organic Particulate Systems at Rutgers University have developed a software prototype for tracing materials and keeping track of which lots of raw materials are used in different product lots (3).

The control of raw material feedstreams (e.g., excipient, API, lubricant) is more important for a continuous process than for a batch process. Modern, loss-in-weight (i.e., gravimetric) feeders, however, which have been used for many years in other process industries as well as in pharmaceutical manufacturing, can accurately dose at even parts-per-million levels and can be integrated into APC. Although feeder data have been shown as reliable, whether a drug product could be released solely on feeder data for blend content uniformity is still an issue being researched and debated by industry and regulators.

Batch process control

APC can benefit batch processes too (1). Innopharma Labs, for example, recently launched a PAT and software control system for batch manufacturing of OSD drugs. The Smart FB suite of technologies is being tested at the company’s R&D facility in Dublin. Although continuous manufacturing may represent the future, it makes sense to retrofit existing batch processes using smart, automated control systems now, says Ian Jones, CEO Innopharma Labs (4).

More information at INTERPHEX 2018

These topics will be discussed further in an INTERPHEX Keynote Series: Oral Solid-Dosage Manufacturing on Tuesday, April 17, 2018. Ian Jones, CEO Innopharma Labs, will present “Employing Internet of Things and PAT for Solid Dosage Forms Manufacturing” at 10:30 am. At 11 am, Dennis Powers, director of Sales Engineering, G-CON Manufacturing, will give an update on the PCMM (Portable, Continuous, Miniature, and Modular) OSD Manufacturing Facility Platform. And at 11:30, a panel of experts will participate in a roundtable discussion of best practices for implementation of continuous manufacturing for OSD, which will include topics such as configuring feeding equipment, optimizing startup and changeover, handling cleaning and maintenance, and other equipment and system implementation issues. All sessions, held on the show floor’s Innovation Stage, are free to INTERPHEX exhibit attendees.

References

1.     J. Huang and D. Lauri Pla, “GMP Implementation of Advanced Process Control in Tablet Manufacturing,” (Mar. 16, 2017) www.americanpharmaceuticalreview.com/Featured-Articles/335415-GMP-Implementation-of-Advanced-Process-Control-in-Tablet-Manufacturing/, accessed Mar.12, 2018.

2.     J. Markarian, “Using Spectroscopic and Virtual Sensor PAT in Continuous Solid-Dosage Manufacturing,” (Feb. 14, 2017) www.pharmtech.com/using-spectroscopic-and-virtual-sensor-pat-continuous-solid-dosage-manufacturing, accessed Mar.12, 2018.

3.     M. Billups and R. Singh, Pharm. Tech. 42 (2) 32-35, 59 (2018).

4.     A. Shanley, Pharm. Tech. Solid Dosage Drug Development and Manufacturing Supplement s25–s28 (March 2018).