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Dive into the research topics where Changning Guo is active.

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Featured researches published by Changning Guo.


European Journal of Pharmaceutical Sciences | 2008

Assessment of the influence factors on in vitro testing of nasal sprays using Box-Behnken experimental design

Changning Guo; Keith J. Stine; John F. Kauffman; William H. Doub

The purpose of the research was to investigate the influences of actuation parameters and formulation physical properties on nasal spray delivery performance using design of experiment (DOE) methodology. A 3-level, 4-factor Box-Behnken design with a total of 27 experimental runs was used in this study. Nine simulated aqueous formulations with different viscosities and surface tensions were prepared using carboxymethylcellulose sodium (CMC, gelling agent) and Tween80 (surfactant) each at three concentration levels. Four factors, actuation stroke length, actuation velocity, concentration of gelling agent, and concentration of surfactant were investigated for their influences on measured responses of shot weight, spray pattern, plume geometry and droplet size distribution (DSD). The models based on data from the DOE were then optimized by eliminating insignificant terms. Pfeiffer nasal spray pump units filled with the simulated formulations were used in the study. Nasal pump actuation stroke length exerts a strong, independent influence on shot weight, and also slightly affects spray pattern and plume geometry. Actuation velocity and concentration of gelling agent have significant effects on spray pattern, plume geometry and DSD, in a complicated manner through interaction terms. Concentration of surfactant has little, if any, influence on nasal spray characteristics. Results were fitted to quadratic models describing the inherent relationships between the four factors evaluated and nasal spray performance. The DOE study helped us to identify the source of variability in nasal spray product performance, and obtained better understanding in how to control the variability. Moreover, the quadratic models developed from the DOE study quantitatively describe the inherent relationships between the factors and nasal spray performance characteristics. With the assistance of the response surfaces developed from the DOE model, the time and labor in designing a nasal spray product to achieve desired product performance characteristics can be reduced.


International Journal of Pharmaceutics | 2012

Evaluation of metered dose inhaler spray velocities using Phase Doppler Anemometry (PDA)

Xiaofei Liu; William H. Doub; Changning Guo

Droplet velocity is an important parameter which can significantly influence inhalation drug delivery performance. Together with the droplet size, this parameter determines the efficiency of the deposition of MDI products at different sites within the lungs. In this study, phase Doppler anemometry (PDA) was used to investigate the instantaneous droplet velocity emitted from MDIs as well as the corresponding droplet size distribution. The nine commercial MDI products surveyed showed significantly different droplet velocities, indicating that droplet velocity could be used as a discriminating parameter for in vitro testing of MDI products. The droplet velocity for all tested MDI products decreased when the testing distance was increased from 3 cm to 6 cm from the front of mouthpiece, with CFC formulations showing a larger decrease than HFA formulations. The mean droplet diameters of the nine MDIs were also significantly different from one-another. Droplet size measurements made using PDA (a number-based technique) could not be directly compared to results obtained using laser light scattering measurements (a volume-based technique). This work demonstrates that PDA can provide unique information useful for characterizing MDI aerosol plumes and evaluating MDI drug delivery efficiency. PDA could also aid the evaluation of in vitro equivalence in support of formulation or manufacturing changes and in evaluation of abbreviated new drug applications (ANDAs) for MDIs.


International Journal of Pharmaceutics | 2010

Evaluation of droplet velocity and size from nasal spray devices using phase Doppler anemometry (PDA)

Xiaofei Liu; William H. Doub; Changning Guo

To determine aerosol deposition during the inhalation drug delivery, it is important to understand the combination of velocity and droplet size together. In this study, phase Doppler anemometry (PDA) was used to simultaneously characterize the aerosol velocity and droplet size distribution (DSD) of three nasal spray pumps filled with water. Thirteen sampling positions were located in the horizontal cross-sectional area of the nasal spray plumes at a distance of 3cm from the pump orifice. The results showed droplet velocities near the center of the spray plume were higher and more consistent than those near the edge. The pumps examined showed significant differences in their aerosol velocity at the center of the spray plume, which suggest that this metric might be used as a discriminating parameter for in vitro testing of nasal sprays. Droplet size measurements performed using PDA were compared with results from laser light scattering measurements. The ability of PDA to provide simultaneous measurements of aerosol velocity and size makes it a powerful tool for the detailed investigation of nasal spray plume characteristics.


Journal of Pharmaceutical Sciences | 2009

Evaluation of Impaction Force of Nasal Sprays and Metered-Dose Inhalers Using the Texture Analyser☆

Changning Guo; Wei Ye; John F. Kauffman; William H. Doub

The impaction force from an inhalation product is an important characteristics by which to characterize the spray plume. It is one of the plume characteristics that can be perceived by a patient, and is expected to be good measures of local delivery equivalence for inhalation drugs. A Stable Micro Systems TA-XT.plus Texture Analyser equipped with 750 g load cell was used to measure the impaction force of several nasal sprays and metered-dose inhalers (MDIs). A survey of several commercial nasal spray and MDI products shows that impaction forces of these products varies from 1.5 to 6.5 g force and are significantly different from each other. A 3-level, 4-factor Box-Behnken design was applied to the study of impaction force of nasal sprays using placebo solutions. The influences of four factors: actuation stroke length, actuation velocity, concentration of gelling agent, and concentration of surfactant, were investigated. Of those factors examined here, actuation velocity exerts the greatest effect on impaction force. Impaction force is a discriminative parameter for in vitro testing of nasal spray and MDI products. Since impaction force is more directly related to patient sensation and aerosol deposition in the nasal mucus than other, more traditional parameters, it may provide a better way to evaluate in vitro equivalence in support of abbreviated new drug applications (ANDAs) for orally inhaled and nasal drug products.


Journal of Pharmaceutical Sciences | 2010

Propagation of uncertainty in nasal spray in vitro performance models using Monte Carlo simulation: Part II. Error propagation during product performance modeling

Changning Guo; William H. Doub; John F. Kauffman

Monte Carlo simulations were applied to investigate the propagation of uncertainty in both input variables and response measurements on model prediction for nasal spray product performance design of experiment (DOE) models in the first part of this study, with an initial assumption that the models perfectly represent the relationship between input variables and the measured responses. In this article, we discard the initial assumption, and extended the Monte Carlo simulation study to examine the influence of both input variable variation and product performance measurement variation on the uncertainty in DOE model coefficients. The Monte Carlo simulations presented in this article illustrate the importance of careful error propagation during product performance modeling. Our results show that the error estimates based on Monte Carlo simulation result in smaller model coefficient standard deviations than those from regression methods. This suggests that the estimated standard deviations from regression may overestimate the uncertainties in the model coefficients. Monte Carlo simulations provide a simple software solution to understand the propagation of uncertainty in complex DOE models so that design space can be specified with statistically meaningful confidence levels.


Aaps Pharmscitech | 2013

Evaluation of an abbreviated impactor for fine particle fraction (FPF) determination of metered dose inhalers (MDI).

Changning Guo; Diem Ngo; Shafiq S. Ahadi; William H. Doub

Abbreviated impactors have been developed recently to allow more rapid evaluation of inhalation products as alternates to the eight-stage Andersen Cascade Impactor (ACI) which has been widely used in the pharmaceutical industry for assessing aerodynamic particle size distribution. In this paper, a two-stage abbreviated impactor, Westech Fine Particle Dose Impactor (WFPD), was used to characterize the aerodynamic particle size of metered dose inhaler (MDI) products, and the results were compared with those obtained using the standard eight-stage ACI. Seven commercial MDI products, with different propellants (chlorofluorocarbon/hydrofluoroalkane) and formulation types (suspension/solution, dry/normal/wet), were tested in this study by both WFPD and ACI. Substantially equivalent measures of fine particle fraction were obtained for most of the tested MDI products, but larger coarse particle fraction and extra-fine particle fraction values were measured from WFPD relative to those measured using the ACI. Use of the WFPD also produced more wall loss than the ACI. Therefore, it is recommended that the system suitability be evaluated on a product-by-product basis to establish substantial equivalency before implementing an abbreviated impactor measurement methodology for routine use in inhaler product characterization.


Journal of Pharmaceutical Sciences | 2017

In Vitro Evaluation of Nasogastric Tube Delivery Performance of Esomeprazole Magnesium Delayed-Release Capsules

Alicia Hoover; Dajun Sun; Hong Wen; Wenlei Jiang; Minglei Cui; Xiaojian Jiang; David A. Keire; Changning Guo

Enteral feeding tubes are used to deliver food or drugs to patients who cannot swallow. To deliver delayed-release drugs that are formulated as enteric coated granules to these patients via feeding tubes requires that they be suspended in water before administration. Importantly, the suspension of enteric granules in water of varying pH can cause damage to the enteric coating and affect the bioavailability of the drug. Here, analytical methods for testing acid resistance stability and particle size distribution (PSD) of esomeprazole granules were used to monitor the integrity of the granule enteric coating after water pretreatment and delivery through an oral syringe and nasogastric (NG) tube. Granules from esomeprazole magnesium delayed-release capsules were transferred to an oral syringe, suspended in water, and delivered on the bench through an NG tube. Subsequently, acid resistance stability (i.e., the amount of drug released after 2-h acid dissolution) was determined via high-performance liquid chromatography, and the PSD were measured with a laser diffraction system. All the granules demonstrated acid resistance stability when the granules were delivered immediately (0 min incubation) through the oral syringe and NG tube. In contrast, some granules demonstrated significant drug release during acid exposure after a 15-min incubation period which mimics a possible delay in delivery of the drug from the syringe by the caregiver. A bimodal PSD was observed with these granules, which was attributed to debris from damaged enteric coating and particle agglomeration. The methods developed in this study could be used to distinguish batches with suboptimal product quality for delivery using NG tubes and to confirm the substitutability of generic drug products for this alternative route of administration.


Journal of Pharmaceutical Sciences | 2014

Developing an In Vitro Understanding of Patient Experience with Hydrofluoroalkane-Metered Dose Inhalers

William H. Doub; Vibhakar Shah; Susan Limb; Changning Guo; Xiaofei Liu; Diem Ngo

As a result of the Montreal Protocol on Substances that Deplete the Ozone Layer, manufacturers of metered dose inhalers began reformulating their products to use hydrofluoroalkanes (HFAs) as propellants in place of chlorofluorocarbons (CFCs). Although the new products are considered safe and efficacious by the US Food and Drug Administration (FDA), a large number of complaints have been registered via the FDAs Adverse Events Reporting System (FAERS)-more than 7000 as of May 2013. To develop a better understanding of the measurable parameters that may, in part, determine in vitro performance and thus patient compliance, we compared several CFC- and HFA-based products with respect to their aerodynamic performance in response to changes in actuator cleaning interval and interactuation delay interval. Comparison metrics examined in this study were: total drug delivered ex-actuator, fine particle dose (<5 μm), mass median aerodynamic diameter, plume width, plume temperature, plume impaction force, and actuator orifice diameter. Overall, no single metric or test condition distinguishes HFA products from CFC products, but, for individual products tested, there were a combination of metrics that differentiated one from another.


Journal of Pharmaceutical Sciences | 2010

Research ArticlesPropagation of uncertainty in nasal spray in vitro performance models using Monte Carlo simulation: Part I. model prediction using Monte Carlo Simulation*

Changning Guo; William H. Doub; John F. Kauffman

Design of experiment (DOE) methodology can provide a complete evaluation of the influences of nasal spray activation and formulation properties on delivery performance which makes it a powerful tool for product design purposes. Product performance models are computed from complex expressions containing multiple factor terms and response terms. Uncertainty in the regression model can be propagated using Monte Carlo simulation. In this study, four input factors, actuation stroke length, actuation velocity, concentration of gelling agent, and concentration of surfactant were investigated for their influences on measured responses of spray pattern, plume width, droplet size distribution (DSD), and impaction force. Quadratic models were calculated and optimized using a Box-Behnken experimental design to describe the relationship between factors and responses. Assuming that the models perfectly represent the relationship between input variables and the measured responses, the propagation of uncertainty in both input variables and response measurements on model prediction was performed using Monte Carlo simulations. The Monte Carlo simulations presented in this article illustrate the propagation of uncertainty in model predictions. The most influential input variable variances on the product performance variance were identified, which could help prioritize input variables in terms of importance during continuous improvement of nasal spray product design. This work extends recent Monte Carlo simulations of process models to the realm of product development models.


Journal of Pharmaceutical Sciences | 2010

Propagation of uncertainty in nasal spray in vitro performance models using Monte Carlo simulation: Part I. model prediction using Monte Carlo Simulation*

Changning Guo; William H. Doub; John F. Kauffman

Design of experiment (DOE) methodology can provide a complete evaluation of the influences of nasal spray activation and formulation properties on delivery performance which makes it a powerful tool for product design purposes. Product performance models are computed from complex expressions containing multiple factor terms and response terms. Uncertainty in the regression model can be propagated using Monte Carlo simulation. In this study, four input factors, actuation stroke length, actuation velocity, concentration of gelling agent, and concentration of surfactant were investigated for their influences on measured responses of spray pattern, plume width, droplet size distribution (DSD), and impaction force. Quadratic models were calculated and optimized using a Box-Behnken experimental design to describe the relationship between factors and responses. Assuming that the models perfectly represent the relationship between input variables and the measured responses, the propagation of uncertainty in both input variables and response measurements on model prediction was performed using Monte Carlo simulations. The Monte Carlo simulations presented in this article illustrate the propagation of uncertainty in model predictions. The most influential input variable variances on the product performance variance were identified, which could help prioritize input variables in terms of importance during continuous improvement of nasal spray product design. This work extends recent Monte Carlo simulations of process models to the realm of product development models.

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William H. Doub

Food and Drug Administration

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John F. Kauffman

Center for Drug Evaluation and Research

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Xiaofei Liu

Food and Drug Administration

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Diem Ngo

Food and Drug Administration

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Alicia Hoover

Food and Drug Administration

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Dajun Sun

Food and Drug Administration

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David A. Keire

Food and Drug Administration

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Hong Wen

Food and Drug Administration

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John A. Spencer

Food and Drug Administration

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