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Thakur A, Rose F, Ansari SR, Koch P, Martini V, Ovesen SL, Quistorff B, Maritim S, Hyder F, Andersen P, Christensen D, Mori Y, Foged C. Design of Gadoteridol-Loaded Cationic Liposomal Adjuvant CAF01 for MRI of Lung Deposition of Intrapulmonary Administered Particles. Mol Pharm 2019; 16:4725-4737. [PMID: 31539263 DOI: 10.1021/acs.molpharmaceut.9b00908] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Designing effective and safe tuberculosis (TB) subunit vaccines for inhalation requires identification of appropriate antigens and adjuvants and definition of the specific areas to target in the lungs. Magnetic resonance imaging (MRI) enables high spatial resolution, but real-time anatomical and functional MRI of lungs is challenging. Here, we describe the design of a novel gadoteridol-loaded cationic adjuvant formulation 01 (CAF01) for MRI-guided vaccine delivery of the clinically tested TB subunit vaccine candidate H56/CAF01. Gadoteridol-loaded CAF01 liposomes were engineered by using a quality-by-design approach to (i) increase the mechanistic understanding of formulation factors governing the loading of gadoteridol and (ii) maximize the loading of gadoteridol in CAF01, which was confirmed by cryotransmission electron microscopy. The encapsulation efficiency and loading of gadoteridol were highly dependent on the buffer pH due to strong attractive electrostatic interactions between gadoteridol and the cationic lipid component. Optimal gadoteridol loading of CAF01 liposomes showed good in vivo stability and safety upon intrapulmonary administration into mice while generating 1.5-fold MRI signal enhancement associated with approximately 30% T1 relaxation change. This formulation principle and imaging approach can potentially be used for other mucosal nanoparticle-based formulations, species, and lung pathologies, which can readily be translated for clinical use.
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Affiliation(s)
- Aneesh Thakur
- Department of Pharmacy, Faculty of Health and Medical Sciences , University of Copenhagen , Universitetsparken 2 , DK-2100 Copenhagen Ø, Denmark
| | - Fabrice Rose
- Department of Pharmacy, Faculty of Health and Medical Sciences , University of Copenhagen , Universitetsparken 2 , DK-2100 Copenhagen Ø, Denmark
| | - Shaquib Rahman Ansari
- Department of Pharmacy, Faculty of Health and Medical Sciences , University of Copenhagen , Universitetsparken 2 , DK-2100 Copenhagen Ø, Denmark
| | - Palle Koch
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences , University of Copenhagen , Blegdamsvej 3 , DK-2200 Copenhagen N, Denmark.,Panum NMR Core Facility , University of Copenhagen , Blegdamsvej 3B , 2200 Copenhagen N, Denmark
| | - Veronica Martini
- Department of Pharmacy, Faculty of Health and Medical Sciences , University of Copenhagen , Universitetsparken 2 , DK-2100 Copenhagen Ø, Denmark
| | - Sofie Lillelund Ovesen
- Department of Pharmacy, Faculty of Health and Medical Sciences , University of Copenhagen , Universitetsparken 2 , DK-2100 Copenhagen Ø, Denmark
| | - Bjørn Quistorff
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences , University of Copenhagen , Blegdamsvej 3 , DK-2200 Copenhagen N, Denmark
| | - Samuel Maritim
- Department of Biomedical Engineering and Magnetic Resonance Research Center , Yale University , 300 Cedar Street , New Haven , Connecticut 06520 , United States
| | - Fahmeed Hyder
- Department of Biomedical Engineering and Magnetic Resonance Research Center , Yale University , 300 Cedar Street , New Haven , Connecticut 06520 , United States
| | - Peter Andersen
- Department of Infectious Disease Immunology , Statens Serum Institut , Artillerivej 5 , 2300 Copenhagen S, Denmark
| | - Dennis Christensen
- Department of Infectious Disease Immunology , Statens Serum Institut , Artillerivej 5 , 2300 Copenhagen S, Denmark
| | - Yuki Mori
- Panum NMR Core Facility , University of Copenhagen , Blegdamsvej 3B , 2200 Copenhagen N, Denmark.,Center for Translational Neuromedicine, Faculty of Health and Medical Sciences , University of Copenhagen , Blegdamsvej 3B , DK-2200 Copenhagen N, Denmark
| | - Camilla Foged
- Department of Pharmacy, Faculty of Health and Medical Sciences , University of Copenhagen , Universitetsparken 2 , DK-2100 Copenhagen Ø, Denmark
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Schlindwein W, Bezerra M, Almeida J, Berghaus A, Owen M, Muirhead G. In-Line UV-Vis Spectroscopy as a Fast-Working Process Analytical Technology (PAT) during Early Phase Product Development Using Hot Melt Extrusion (HME). Pharmaceutics 2018; 10:E166. [PMID: 30249025 PMCID: PMC6321000 DOI: 10.3390/pharmaceutics10040166] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2018] [Revised: 09/04/2018] [Accepted: 09/11/2018] [Indexed: 11/28/2022] Open
Abstract
This paper displays the potential of an in-line PAT system for early phase product development during pharmaceutical continuous manufacturing following a Quality by Design (QbD) framework. Hot melt extrusion (HME) is used as continuous manufacturing process and UV⁻Vis spectroscopy as an in-line monitoring system. A sequential design of experiments (DoE) (screening, optimisation and verification) was used to gain process understanding for the manufacture of piroxicam (PRX)/Kollidon® VA64 amorphous solid dispersions. The influence of die temperature, screw speed, solid feed rate and PRX concentration on the critical quality attributes (CQAs) absorbance and lightness of color (L*) of the extrudates was investigated using multivariate tools. Statistical analysis results show interaction effects between concentration and temperature on absorbance and L* values. Solid feed rate has a significant effect on absorbance only and screw speed showed least impact on both responses for the screening design. The optimum HME process conditions were confirmed by 4 independent studies to be 20% w/w of PRX, temperature 140 °C, screw speed 200 rpm and feed rate 6 g/min. The in-line UV-Vis system was used to assess the solubility of PRX in Kollidon® VA64 by measuring absorbance and L* values from 230 to 700 nm. Oversaturation was observed for PRX concentrations higher than 20% w/w. Oversaturation can be readily identified as it causes scattering in the visible range. This is observed by a shift of the baseline in the visible part of the spectrum. Extrudate samples were analyzed for degradation using off-line High-Performance Liquid Chromatography (HPLC) standard methods. Results from off-line experiments using differential scanning calorimetry (DSC), and X-ray diffraction (XRD) are also presented.
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Affiliation(s)
| | - Mariana Bezerra
- Leicester School of Pharmacy, De Montfort University, Leicester LE1 9BH, UK.
| | - Juan Almeida
- Leicester School of Pharmacy, De Montfort University, Leicester LE1 9BH, UK.
| | | | - Martin Owen
- Insight by Design Ltd., Stevenage SG9 9ST, UK.
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Vejarano R, Siche R, Tesfaye W. Evaluation of biological contaminants in foods by hyperspectral imaging: A review. INTERNATIONAL JOURNAL OF FOOD PROPERTIES 2017. [DOI: 10.1080/10942912.2017.1338729] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Affiliation(s)
- Ricardo Vejarano
- Facultad de Ciencias Agropecuarias, Universidad Nacional de Trujillo (UNT), Ciudad Universitaria, Trujillo, Peru
- Facultad de Ingeniería, Universidad Privada del Norte (UPN), Trujillo, Peru
| | - Raúl Siche
- Facultad de Ciencias Agropecuarias, Universidad Nacional de Trujillo (UNT), Ciudad Universitaria, Trujillo, Peru
| | - Wendu Tesfaye
- Departamento de Química y Tecnología de Alimentos, Universidad Politécnica de Madrid (UPM), Madrid, Spain
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Wang W, Heitschmidt GW, Windham WR, Feldner P, Ni X, Chu X. Feasibility of Detecting Aflatoxin B1on Inoculated Maize Kernels Surface using Vis/NIR Hyperspectral Imaging. J Food Sci 2014; 80:M116-22. [DOI: 10.1111/1750-3841.12728] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2013] [Accepted: 10/29/2014] [Indexed: 11/28/2022]
Affiliation(s)
- Wei Wang
- College of Engineering, China Agricultural Univ; No. 17 Tsinghua East Rd. Beijing 100083 China
| | - Gerald W. Heitschmidt
- Quality & Safety Assessment Research Unit; Richard B. Russell Research Center; USDA-ARS, 950 College Station Rd. Athens GA 30605 U.S.A
| | - William R. Windham
- Quality & Safety Assessment Research Unit; Richard B. Russell Research Center; USDA-ARS, 950 College Station Rd. Athens GA 30605 U.S.A
| | - Peggy Feldner
- Quality & Safety Assessment Research Unit; Richard B. Russell Research Center; USDA-ARS, 950 College Station Rd. Athens GA 30605 U.S.A
| | - Xinzhi Ni
- Crop Genetics and Breeding Research Unit-USDA-ARS; 2747 Davis Road Tifton GA 31793 U.S.A
| | - Xuan Chu
- College of Engineering, China Agricultural Univ; No. 17 Tsinghua East Rd. Beijing 100083 China
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Quantification of ascorbic acid and sodium ascorbate in powder blends for tableting and in vitamin C chewable tablets by NIR-chemometry. ACTA PHARMACEUTICA 2013; 63:373-84. [PMID: 24152897 DOI: 10.2478/acph-2013-0029] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
The paper proposes a near infrared method able to directly and simultaneously quantify ascorbic acid and sodium ascorbate in powder blends for tableting and in vitamin C chewable tablets without any sample preparation. In the first step, calibration models for the quantification of ascorbic acid and sodium ascorbate in powder blends for tableting and subsequently in chewable vitamin C tablets (corresponding to 80-120 % active substance) were developed according to an experimental design with 2 variables and 5 levels. Then, using the best calibration models, the methods were fully validated in terms of recovery, precision and accuracy for both powder blends and vitamin C chewable tablets. The validated concentration range was 15.14-18.51 % for ascorbic acid and 12.06-14.49 % for sodium ascorbate in powder blends and 91.85-111.03 mg per tablet for ascorbic acid and 71.01-84.50 mg per tablet for sodium ascorbate in tablets. Validation results showed good precision and accuracy.
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Porfire A, Rus L, Vonica AL, Tomuta I. High-throughput NIR-chemometric methods for determination of drug content and pharmaceutical properties of indapamide powder blends for tabletting. J Pharm Biomed Anal 2012; 70:301-9. [DOI: 10.1016/j.jpba.2012.07.026] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2012] [Revised: 07/18/2012] [Accepted: 07/22/2012] [Indexed: 10/28/2022]
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Porfire A, Tomuta I, Tefas L, Leucuta SE, Achim M. Simultaneous quantification of l-α-phosphatidylcoline and cholesterol in liposomes using near infrared spectrometry and chemometry. J Pharm Biomed Anal 2012; 63:87-94. [DOI: 10.1016/j.jpba.2012.01.017] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2011] [Revised: 01/11/2012] [Accepted: 01/12/2012] [Indexed: 11/28/2022]
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De Bleye C, Chavez PF, Mantanus J, Marini R, Hubert P, Rozet E, Ziemons E. Critical review of near-infrared spectroscopic methods validations in pharmaceutical applications. J Pharm Biomed Anal 2012; 69:125-32. [PMID: 22464561 DOI: 10.1016/j.jpba.2012.02.003] [Citation(s) in RCA: 67] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2012] [Accepted: 02/03/2012] [Indexed: 11/29/2022]
Abstract
Based on the large number of publications reported over the past five years, near-infrared spectroscopy (NIRS) is more and more considered an attractive and promising analytical tool regarding Process Analytical Technology and Green Chemistry. From the reviewed literature, few of these publications present a thoroughly validated NIRS method even if some guidelines have been published by different groups and regulatory authorities. However, as any analytical method, the validation of NIRS method is a mandatory step at the end of the development in order to give enough guarantees that each of the future results during routine use will be close enough to the true value. Besides the introduction of PAT concepts in the revised document of the European Pharmacopoeia (2.2.40) dealing with near-infrared spectroscopy recently published in Pharmeuropa, it agrees very well with this mandatory step. Indeed, the latter suggests to use similar analytical performance characteristics than those required for any analytical procedure based on acceptance criteria consistent with the intended use of the method. In this context, this review gives a comprehensive and critical overview of the methodologies applied to assess the validity of quantitative NIRS methods used in pharmaceutical applications.
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Affiliation(s)
- C De Bleye
- Laboratory of Analytical Chemistry, CIRM, University of Liège, 1 Avenue de l'Hôpital, 4000 Liège, Belgium.
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Maltesen MJ, Bjerregaard S, Hovgaard L, Havelund S, van de Weert M, Grohganz H. Multivariate analysis of phenol in freeze-dried and spray-dried insulin formulations by NIR and FTIR. AAPS PharmSciTech 2011; 12:627-36. [PMID: 21560023 DOI: 10.1208/s12249-011-9618-x] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2010] [Accepted: 04/14/2011] [Indexed: 11/30/2022] Open
Abstract
Dehydration is a commonly used method to stabilise protein formulations. Upon dehydration, there is a significant risk the composition of the formulation will change especially if the protein formulation contains volatile compounds. Phenol is often used as excipient in insulin formulations, stabilising the insulin hexamer by changing the secondary structure. We have previously shown that it is possible to maintain this structural change after drying. The aim of this study was to evaluate the residual phenol content in spray-dried and freeze-dried insulin formulations by Fourier transform infrared (FTIR) spectroscopy and near infrared (NIR) spectroscopy using multivariate data analysis. A principal component analysis (PCA) and partial least squares (PLS) projections were used to analyse spectral data. After drying, there was a difference between the two drying methods in the phenol/insulin ratio and the water content of the dried samples. The spray-dried samples contained more water and less phenol compared with the freeze-dried samples. For the FTIR spectra, the best model used one PLS component to describe the phenol/insulin ratio in the powders, and was based on the second derivative pre-treated spectra in the 850-650 cm(-1) region. The best PLS model based on the NIR spectra utilised three PLS components to describe the phenol/insulin ratio and was based on the standard normal variate transformed spectra in the 6,200-5,800 cm(-1) region. The root mean square error of cross validation was 0.69% and 0.60% (w/w) for the models based on the FTIR and NIR spectra, respectively. In general, both methods were suitable for phenol quantification in dried phenol/insulin samples.
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