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1.
J Pharm Sci ; 106(12): 3583-3590, 2017 12.
Article in English | MEDLINE | ID: mdl-28867201

ABSTRACT

The objective of this research was to study the atypical secondary drying dynamics observed during the freeze-drying of a formulation consisting of mannitol, disaccharide, and sodium chloride, where "bursts" of water vapor release were observed during secondary drying as detected by comparative pressure measurement. "Thief" samples were removed at the end of primary drying and during secondary drying as the shelf temperature was increased in a stepwise fashion. These samples were examined by X-ray powder diffraction and thermal analysis. From the X-ray powder diffraction data, we determined that mannitol crystallized predominantly as its hemihydrate. The physical state of mannitol changed from the hemihydrate form to anhydrous forms during secondary drying. Investigation of the effect of excipients on mannitol crystallization demonstrated that sodium chloride (at 225 mM, 1.3% w/v) had the greatest influence on hemihydrate crystallization, followed by trehalose and sucrose. However, only negligible hemihydrate formation was observed when mannitol was freeze-dried either by itself or in the presence of 150 mM sodium chloride and no hemihydrate in the presence of 75 mM sodium chloride. In general, a combination of a disaccharide and sodium chloride promoted the hemihydrate formation to a greater extent than the individual components. Comparative pressure measurement was demonstrated to be an effective tool to monitor mannitol hemihydrate dehydration during secondary drying.


Subject(s)
Mannitol/chemistry , Proteins/chemistry , Chemistry, Pharmaceutical/methods , Crystallization/methods , Desiccation/methods , Disaccharides/chemistry , Excipients/chemistry , Freeze Drying/methods , Powders/chemistry , Sodium Chloride/chemistry , Sucrose/chemistry , Temperature , Trehalose/chemistry , X-Ray Diffraction/methods
2.
Eur J Pharm Biopharm ; 85(2): 236-9, 2013 Oct.
Article in English | MEDLINE | ID: mdl-23899644

ABSTRACT

A scientific rationale is proposed for the establishment of acceptance criteria for leak rates in pharmaceutical freeze dryers. A method was developed to determine the quantity of air that could leak into any lyophilizer from the outside while still maintaining Class 100/Grade A microbial conditions. A lyophilizing product is assumed most vulnerable to microbial contamination during secondary drying, when mass transfer of water vapor from product to condenser is minimal. Using the void volume of the dryer, calculated from change in internal pressure when a known volume of air is introduced, and the potential maximum bioburden of the leaked air (based on measured values), calculations can determine the allowable leaked volume of air, the flow rate required to admit that volume in a given time frame, and the pressure rise that would result from the leak over a given testing period. For the dryers in this study, using worst-case air quality conditions, it was determined that a leak resulting in a pressure rise of 0.027 mbar over a 30 min period would allow the dryers to remain in secondary drying conditions for 62 h before the established action level of one colony forming unit for each cubic meter of air space would be reached.


Subject(s)
Freeze Drying/methods , Technology, Pharmaceutical/methods , Air , Drug Dosage Calculations , Environmental Monitoring/methods , Pressure , Temperature , Vacuum , Water/chemistry
3.
Pharm Dev Technol ; 16(6): 549-76, 2011.
Article in English | MEDLINE | ID: mdl-21932931

ABSTRACT

A case study has been developed to illustrate one way of incorporating a Quality by Design approach into formulation and process development for a small molecule, freeze-dried parenteral product. Sodium ethacrynate was chosen as the model compound. Principal degradation products of sodium ethacrynate result from hydrolysis of the unsaturated ketone in aqueous solution, and dimer formation from a Diels-Alder condensation in the freeze-dried solid state. When the drug crystallizes in a frozen solution, the eutectic melting temperature is above -5°C. Crystallization in the frozen system is affected by pH in the range of pH 6-8 and buffer concentration in the range of 5-50 mM, where higher pH and lower buffer concentration favor crystallization. Physical state of the drug is critical to solid state stability, given the relative instability of amorphous drug. Stability was shown to vary considerably over the ranges of pH and buffer concentration examined, and vial-to-vial variability in degree of crystallinity is a potential concern. The formulation design space was constructed in terms of pH and drug concentration, and assuming a constant 5 mM concentration of buffer. The process design space is constructed to take into account limitations on the process imposed by the product and by equipment capability.


Subject(s)
Drug Design , Ethacrynic Acid/chemistry , Buffers , Chemistry, Pharmaceutical , Crystallization , Drug Stability , Freeze Drying , Hydrogen-Ion Concentration , Hydrolysis , Transition Temperature
4.
Pharm Dev Technol ; 16(4): 343-57, 2011 Aug.
Article in English | MEDLINE | ID: mdl-20387998

ABSTRACT

The pore diffusion model is used to express the dry layer mass transfer resistance, [Formula: see text], as a function of the ratio r(e)/?, where r(e) is the effective pore radius and ? is the tortuosity factor of the dry layer. Using this model, the effective pore radius of the dry layer can be estimated from the sublimation rate and product temperature profiles measured during primary drying. Freeze-drying cycle runs were performed using the LyoStar II dryer (FTS Systems), with real-time sublimation rate profiles during freeze drying continuously measured by tunable diode laser absorption spectroscopy (TDLAS). The formulations chosen for demonstration of the proposed approach include 5% mannitol, 5% sucrose, 5% lactose, 3% mannitol plus 2% sucrose, and a parenteral nutrition formulation denoted VitaM12. The three different methods used for determination of the product resistance are: (1) Using both the sublimation rate and product temperature profiles, (2) using the sublimation rate profile alone, and (3) using the product temperate profile alone. Unlike the second and third methods, the computation procedure of first method does not need solution of the complex heat and mass transfer equations.


Subject(s)
Freeze Drying/methods , Models, Chemical , Technology, Pharmaceutical/methods , Algorithms , Diffusion , Excipients/chemistry , Lactose/chemistry , Lasers, Semiconductor , Mannitol/chemistry , Spectrum Analysis , Sublimation, Chemical , Sucrose/chemistry , Temperature , Time Factors , Vitamins/chemistry , Water/chemistry
5.
Pharm Dev Technol ; 12(5): 485-94, 2007.
Article in English | MEDLINE | ID: mdl-17963149

ABSTRACT

The spatial distribution of local shelf heat transfer coefficients, Ks, was determined by mapping the transient temperature response of the shelf surface along the serpentine internal channels of the shelf while the temperature of the heat transfer fluid was ramped from -40 degrees to 40 degrees C. The solution of a first-order non-steady-state differential equation resulted in a predicted shelf surface temperature as a function of the shelf fluid temperature at any point along the flow path. During the study, the shelf surfaces were maintained under a thermally insulated condition so that the heat transfers by gas conduction and radiation were negligible. To minimize heat conduction by gas, the chamber was evacuated to a low pressure, such as 100 mTorr. To minimize heat transfers between shelves, shelves were moved close together, with a gap of approximately 3 mm between any two shelves, because the shelf surface temperatures at corresponding vertical locations of two shelves are virtually equal. In addition, this also provides a shielding from radiation heat transfer from shelf to walls. Local heat transfer coefficients at the probed locations h(x) ( approximately Ks) were calculated by fitting the experimental shelf temperature response to the theoretical value. While the resulting values of K(s) are in general agreement with previously reported values, the values of Ks close to the inlet are significantly higher than those of other locations of the shelf channel. This observation is most likely attributed to the variation of the flow pattern of heat transfer fluid within the channels.


Subject(s)
Models, Theoretical , Technology, Pharmaceutical/methods , Air Pressure , Algorithms , Freeze Drying/methods , Hot Temperature , Ice , Pharmaceutical Preparations/chemistry , Polyethylenes/chemistry , Rheology , Temperature , Thermal Conductivity , Viscosity , Water/chemistry
6.
Int J Pharm ; 313(1-2): 99-113, 2006 Apr 26.
Article in English | MEDLINE | ID: mdl-16513303

ABSTRACT

Mass transfer resistance of the dry layer during the primary drying phase of a lyophilizaton cycle is probably the most important factor affecting maximum product temperature and drying time. Product resistance parameters should be determined for each formulation because of their dependence of formulation composition and concentration. The purpose of this study was to determine the dry layer mass transfer resistance, using a simple and rapid method, for various pharmaceutical formulations during primary drying in a laboratory dryer, using monitored product temperature profiles. The mathematical tools used for the determination were a primary drying simulation program in conjunction with Powell's optimization algorithm. For each formulation studied, primary drying was performed using a shelf temperature of -15 or -20 degrees C and the chamber pressure controlled at 100 mTorr (0.1 Torr). The product temperature profiles (T(b)) during primary drying were recorded and became the input data for the parameter estimation. The normalized product resistance, R(pN), as a function of the dry layer thickness, l, can be described by: R(pN) = R(0) + A(1)l/(1 + A(2)l), where the constants R(0), A(1) and A(2) are product resistance parameters of water vapor through the dry layer. Even when the parameter A(1) was negative, indicating that product temperature atypically decreased over time, the dry layer product resistance parameters of the various pharmaceutical formulations could be rapidly and successfully determined using the proposed approach. The product resistance equation obtained in this work for 5% marmitol, expressed as R(pN) = 0.0002025 + 20.23l, is similar to that obtained by Pikal [Pikal, M.J., 1985. Use of laboratory data in freeze drying process design: heat and product resistance parameters and the compute simulation of freeze drying. J. Parent. Sci. Technol. 39, 115-138.] using the microbalance method, expressed as R(pN) = 1.40 + 16.0l. The product resistance values obtained for the 3% lactose-LDH formulation are also very close to those obtained by (Milton, N., Pikal, M.J., Roy, M.L., Nail, S.L., 1997. Evaluation of manometric temperature measurement as a method of monitoring product temperature during lyophilization. PDA J. Pharm. Sci. Technol. 51, 7-16.) for 5% lactose using the MTM (manometric temperature measurement) method. With the obtained values of the parameters R(0), A(1), and A(2), simulations can be performed to determine the maximum product temperature and the drying time during primary drying. As such, optimum cycle parameters can be determined to avoid collapse of the product. The proposed approach requires only accurately measured product temperature profiles, easily obtained in a laboratory dryer.


Subject(s)
Excipients/chemistry , Technology, Pharmaceutical , Temperature , Algorithms , Chemistry, Pharmaceutical , Computer Simulation , Freeze Drying , Mannitol/chemistry , Models, Chemical , Sucrose/chemistry , Technology, Pharmaceutical/methods , Time Factors , Water/chemistry
7.
Int J Pharm ; 302(1-2): 56-67, 2005 Sep 30.
Article in English | MEDLINE | ID: mdl-16099610

ABSTRACT

The purpose of this study was to develop the correlation of cycle parameters between a laboratory and a production freeze-dryer. With the established correlation, key cycle parameters obtained using a laboratory dryer may be converted to those for a production dryer with minimal experimental efforts. In order to develop the correlation, it was important to consider the contributions from the following freeze-drying components: (1) the dryer, (2) the vial, and (3) the formulation. The critical parameters for the dryer are the shelf heat transfer coefficient and shelf surface radiation emissivity. The critical parameters for the vial are the vial bottom heat transfer coefficients (the contact parameter Kcs and separation distance lv), and vial top heat transfer coefficient. The critical parameter of the formulation is the dry layer mass transfer coefficient. The above heat and mass transfer coefficients were determined by freeze-drying experiments in conjunction with mathematical modeling. With the obtained heat and mass transfer coefficients, the maximum product temperature, Tbmax, during primary drying was simulated using a primary drying subroutine as a function of the shelf temperature and chamber pressure. The required shelf temperature and chamber pressure, in order to perform a successful cycle run without product collapse, were then simulated based on the resulting values of Tbmax. The established correlation approach was demonstrated by the primary drying of the model formulation 5% mannitol solution. The cycle runs were performed using a LyoStar dryer as the laboratory dryer and a BOC Edwards dryer as the production dryer. The determined normalized dried layer mass transfer resistance for 5% mannitol is expressed as RpN=0.7313+17.19l, where l is the receding dry layer thickness. After demonstrating the correlation approach using the model formulation 5% mannitol, a practical comparison study was performed for the actual product, the lactate dehydrogenase (LDH) formulation. The determined normalized dried layer mass transfer resistance for the LDH formulation is expressed as RpN=4.344+10.85l. The operational templates Tbmax and primary drying time were also generated by simulation. The cycle run for the LDH formulation using the Edwards production dryer verified that the cycle developed in a laboratory freeze-dryer was transferable at the production scale.


Subject(s)
Freeze Drying/methods , Technology, Pharmaceutical/methods , Algorithms , Drug Packaging/methods , Drug Packaging/standards , Freeze Drying/standards , L-Lactate Dehydrogenase/analysis , Mannitol/analysis , Technology, Pharmaceutical/instrumentation , Temperature , Volatilization
8.
Pharm Dev Technol ; 10(2): 151-73, 2005.
Article in English | MEDLINE | ID: mdl-15926665

ABSTRACT

Freeze-drying science and technology continues to evolve and increase in importance because of the emergence of biotechnology drugs that are too unstable to be commercially available as ready-to-use solutions. As more new drug compounds need to be developed as freeze-dried products, this mini-review article provides practical guidance and commentary on the latest literature articles on formulation and process development of freeze-dried products. This article contains a table that provides the quantitative formulations of all commercial freeze-dried protein pharmaceutical products through 2004.


Subject(s)
Chemistry, Pharmaceutical , Freeze Drying/methods , Chemical Phenomena , Chemistry, Physical , Drug Stability , Excipients , Solvents
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