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Dive into the research topics where Xiaolin (Charlie) Tang is active.

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Featured researches published by Xiaolin (Charlie) Tang.


Pharmaceutical Research | 2004

Design of freeze-drying processes for pharmaceuticals: practical advice.

Xiaolin (Charlie) Tang; Michael J. Pikal

Design of freeze-drying processes is often approached with a “trial and error” experimental plan or, worse yet, the protocol used in the first laboratory run is adopted without further attempts at optimization. Consequently, commercial freeze-drying processes are often neither robust nor efficient. It is our thesis that design of an “optimized” freeze-drying process is not particularly difficult for most products, as long as some simple rules based on well-accepted scientific principles are followed. It is the purpose of this review to discuss the scientific foundations of the freeze-drying process design and then to consolidate these principles into a set of guidelines for rational process design and optimization. General advice is given concerning common stability issues with proteins, but unusual and difficult stability issues are beyond the scope of this review. Control of ice nucleation and crystallization during the freezing step is discussed, and the impact of freezing on the rest of the process and final product quality is reviewed. Representative freezing protocols are presented. The significance of the collapse temperature and the thermal transition, denoted Tg`, are discussed, and procedures for the selection of the “target product temperature” for primary drying are presented. Furthermore, guidelines are given for selection of the optimal shelf temperature and chamber pressure settings required to achieve the target product temperature without thermal and/or mass transfer overload of the freeze dryer. Finally, guidelines and “rules” for optimization of secondary drying and representative secondary drying protocols are presented.


Pharmaceutical Research | 2005

Freeze-Drying Process Design by Manometric Temperature Measurement: Design of a Smart Freeze-Dryer

Xiaolin (Charlie) Tang; Steven L. Nail; Michael J. Pikal

No HeadingPurpose.To develop a procedure based on manometric temperature measurement (MTM) and an “expert system” for good practices in freeze drying that will allow development of an optimized freeze-drying process during a single laboratory freeze-drying experiment.Methods.Freeze drying was performed with a FTS Dura-Stop/Dura-Top freeze dryer with the manometric temperature measurement software installed. Five percent solutions of glycine, sucrose, or mannitol with 2 ml to 4 ml fill in 5 ml vials were used, with all vials loaded on one shelf. Details of freezing, optimization of chamber pressure, target product temperature, and some aspects of secondary drying are determined by the expert system algorithms. MTM measurements were used to select the optimum shelf temperature, to determine drying end points, and to evaluate residual moisture content in real-time. MTM measurements were made at 1 hour or half-hour intervals during primary drying and secondary drying, with a data collection frequency of 4 points per second. The improved MTM equations were fit to pressure-time data generated by the MTM procedure using Microcal Origin software to obtain product temperature and dry layer resistance. Using heat and mass transfer theory, the MTM results were used to evaluate mass and heat transfer rates and to estimate the shelf temperature required to maintain the target product temperature.Results.MTM product dry layer resistance is accurate until about two-thirds of total primary drying time is over, and the MTM product temperature is normally accurate almost to the end of primary drying provided that effective thermal shielding is used in the freeze-drying process. The primary drying times can be accurately estimated from mass transfer rates calculated very early in the run, and we find the target product temperature can be achieved and maintained with only a few adjustments of shelf temperature. The freeze-dryer overload conditions can be estimated by calculation of heat/mass flow at the target product temperature. It was found that the MTM results serve as an excellent indicator of the end point of primary drying. Further, we find that the rate of water desorption during secondary drying may be accurately measured by a variation of the basic MTM procedure. Thus, both the end point of secondary drying and real-time residual moisture may be obtained during secondary drying.Conclusions.Manometric temperature measurement and the expert system for good practices in freeze drying does allow development of an optimized freeze-drying process during a single laboratory freeze-drying experiment.


Aaps Pharmscitech | 2006

Evaluation of manometric temperature measurement, a process analytical technology tool for freeze-drying: Part I, product temperature measurement

Xiaolin (Charlie) Tang; Steven L. Nail; Michael J. Pikal

This study examines the factors that may cause systematic errors in the manometric temperature measurement (MTM) procedure used to evaluate product temperature during primary drying. MTM was conducted during primary drying using different vial loads, and the MTM product temperatures were compared with temperatures directly measured by thermocouples. To clarify the impact of freeze-drying load on MTM product temperatures, simulation of the MTM vapor pressure rise was performed, and the results were compared with the experimental results. The effect of product temperature heterogeneity in MTM product temperature determination was investigated by comparing the MTM product temperatures with directly measured thermocouple product temperatures in systems differing in temperature heterogeneity. Both the simulated and experimental results showed that at least 50 vials (5 mL) were needed to give sufficiently rapid pressure rise during the MTM data collection period (25 seconds) in the freeze dryer, to allow accurate determination of the product temperature. The product temperature is location dependent, with higher temperature for vials on the edge of the array and lower temperature for the vials in the center of the array. The product temperature heterogeneity is also dependent upon the freeze-drying conditions. In product temperature heterogeneous systems, MTM measures a temperature close to the coldest product temperature, even, if only a small fraction of the samples have the coldest product temperature. The MTM method is valid even at very low product temperature (−45°C).


Journal of Pharmaceutical Sciences | 2005

Mechanism of protein stabilization by sugars during freeze‐drying and storage: Native structure preservation, specific interaction, and/or immobilization in a glassy matrix?

Liuquan (Lucy) Chang; Deanna Shepherd; Joanna Sun; David Ouellette; Kathleen L. Grant; Xiaolin (Charlie) Tang; Michael J. Pikal


Journal of Physical Chemistry B | 1999

Characterization of the Time Scales of Molecular Motion in Pharmaceutically Important Glasses

Sheri L. Shamblin; Xiaolin (Charlie) Tang; Liuquan (Lucy) Chang; Bruno C. Hancock; Michael J. Pikal


Journal of Pharmaceutical Sciences | 2005

Effect of sorbitol and residual moisture on the stability of lyophilized antibodies: Implications for the mechanism of protein stabilization in the solid state

Liuquan (Lucy) Chang; Deanna Shepherd; Joanna Sun; Xiaolin (Charlie) Tang; Michael J. Pikal


Pharmaceutical Research | 2005

The Effect of Stabilizers and Denaturants on the Cold Denaturation Temperatures of Proteins and Implications for Freeze-Drying

Xiaolin (Charlie) Tang; Michael J. Pikal


Pharmaceutical Research | 2005

Measurement of the Kinetics of Protein Unfolding in Viscous Systems and Implications for Protein Stability in Freeze-Drying

Xiaolin (Charlie) Tang; Michael J. Pikal


Journal of Pharmaceutical Sciences | 2004

Evaluation of glassy-state dynamics from the width of the glass transition: results from theoretical simulation of differential scanning calorimetry and comparisons with experiment.

Michael J. Pikal; Liuquan (Lucy) Chang; Xiaolin (Charlie) Tang


Archive | 2003

Automated process control using manometric temperature measurement

Michael J. Pikal; Xiaolin (Charlie) Tang; Steven L. Nail

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