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Iyer J, Brunsteiner M, Modhave D, Paudel A. Role of Crystal Disorder and Mechanoactivation in Solid-State Stability of Pharmaceuticals. J Pharm Sci 2023; 112:1539-1565. [PMID: 36842482 DOI: 10.1016/j.xphs.2023.02.019] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 02/20/2023] [Accepted: 02/20/2023] [Indexed: 02/28/2023]
Abstract
Common energy-intensive processes applied in oral solid dosage development, such as milling, sieving, blending, compaction, etc. generate particles with surface and bulk crystal disorder. An intriguing aspect of the generated crystal disorder is its evolution and repercussion on the physical- and chemical stabilities of drugs. In this review, we firstly examine the existing literature on crystal disorder and its implications on solid-state stability of pharmaceuticals. Secondly, we discuss the key aspects related to the generation and evolution of crystal disorder, dynamics of the disordered/amorphous phase, analytical techniques to measure/quantify them, and approaches to model the disordering propensity from first principles. The main objective of this compilation is to provide special impetus to predict or model the chemical degradation(s) resulting from processing-induced manifestation in bulk solid manufacturing. Finally, a generic workflow is proposed that can be useful to investigate the relevance of crystal disorder on the degradation of pharmaceuticals during stability studies. The present review will cater to the requirements for developing physically- and chemically stable drugs, thereby enabling early and rational decision-making during candidate screening and in assessing degradation risks associated with formulations and processing.
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Affiliation(s)
- Jayant Iyer
- Research Center Pharmaceutical Engineering GmbH (RCPE), Graz, Austria
| | | | - Dattatray Modhave
- Research Center Pharmaceutical Engineering GmbH (RCPE), Graz, Austria
| | - Amrit Paudel
- Research Center Pharmaceutical Engineering GmbH (RCPE), Graz, Austria; Graz University of Technology, Institute of Process and Particle Engineering, Graz Austria.
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2
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Greenfield ML. Representing polymer molecular structure using molecular simulations for the study of liquid sorption and diffusion. Curr Opin Chem Eng 2020. [DOI: 10.1016/j.coche.2020.02.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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3
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Nguyen PM, Guiga W, Vitrac O. Molecular thermodynamics for food science and engineering. Food Res Int 2017; 88:91-104. [PMID: 28847407 DOI: 10.1016/j.foodres.2016.03.014] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2015] [Revised: 03/01/2016] [Accepted: 03/06/2016] [Indexed: 10/22/2022]
Abstract
We argue that thanks to molecular modeling approaches, many thermodynamic properties required in Food Science and Food Engineering will be calculable within a few hours from first principles in a near future. These new possibilities will enable to bridge via multiscale modeling composition, process and storage effects to reach global optimization, innovative concepts for food or its packaging. An outlook of techniques and a series of examples are given in this perspective. We emphasize solute chemical potentials in polymers, liquids and their mixtures as they cannot be understood and estimated without theory. The presented atomistic and coarse-grained methods offer a natural framework to their conceptualization in polynary systems, entangled or crosslinked homo- or heteropolymers.
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Affiliation(s)
- Phuong-Mai Nguyen
- UMR 1145 GENIAL "Food Processing and Engineering", INRA, AgroParisTech, Université Paris-Saclay, 91300 Massy, France
| | - Wafa Guiga
- UMR 1145 GENIAL "Food Processing and Engineering", INRA, AgroParisTech, Université Paris-Saclay, 91300 Massy, France; CNAM, UMR 1145 GENIAL "Food Processing and Engineering", F-75003 Paris, France
| | - Olivier Vitrac
- UMR 1145 GENIAL "Food Processing and Engineering", INRA, AgroParisTech, Université Paris-Saclay, 91300 Massy, France.
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4
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Fang X, Vitrac O. Predicting diffusion coefficients of chemicals in and through packaging materials. Crit Rev Food Sci Nutr 2017; 57:275-312. [PMID: 25831407 DOI: 10.1080/10408398.2013.849654] [Citation(s) in RCA: 47] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Most of the physicochemical properties in polymers such as activity and partition coefficients, diffusion coefficients, and their activation with temperature are accessible to direct calculations from first principles. Such predictions are particularly relevant for food packaging as they can be used (1) to demonstrate the compliance or safety of numerous polymer materials and of their constitutive substances (e.g. additives, residues…), when they are used: as containers, coatings, sealants, gaskets, printing inks, etc. (2) or to predict the indirect contamination of food by pollutants (e.g. from recycled polymers, storage ambiance…) (3) or to assess the plasticization of materials in contact by food constituents (e.g. fat matter, aroma…). This review article summarizes the classical and last mechanistic descriptions of diffusion in polymers and discusses the reliability of semi-empirical approaches used for compliance testing both in EU and US. It is concluded that simulation of diffusion in or through polymers is not limited to worst-case assumptions but could also be applied to real cases for risk assessment, designing packaging with low leaching risk or to synthesize plastic additives with low diffusion rates.
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Affiliation(s)
- Xiaoyi Fang
- a AgroParisTech, UMR 1145 Ingénierie Procédés Aliments , Massy , France.,b INRA, UMR 1145 Ingénierie Procédés Aliments , Massy , France
| | - Olivier Vitrac
- a AgroParisTech, UMR 1145 Ingénierie Procédés Aliments , Massy , France.,b INRA, UMR 1145 Ingénierie Procédés Aliments , Massy , France
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Nguyen PM, Guiga W, Dkhissi A, Vitrac O. Off-Lattice Flory–Huggins Approximations for the Tailored Calculation of Activity Coefficients of Organic Solutes in Random and Block Copolymers. Ind Eng Chem Res 2017. [DOI: 10.1021/acs.iecr.6b03683] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
| | - Wafa Guiga
- CNAM, UMR1145
Ingénierie
Procédés Aliments, F-75003 Paris, France
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6
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Sun Q, Lü Y, Liu L, Liu K, Miao R, Fang Y. Experimental Studies on A New Fluorescent Ensemble of Calix[4]pyrrole and Its Sensing Performance in the Film State. ACS APPLIED MATERIALS & INTERFACES 2016; 8:29128-29135. [PMID: 27704766 DOI: 10.1021/acsami.6b08642] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
The supramolecular approach plays a pivotal role in the construction of smart and functional materials due to the reversible nature of noncovalent interactions. In the present work, two compounds, cholesterol-functionalized calix[4]pyrrole (CCP) and perylene bisimide diacid (PDA), were synthesized. Little fluorescence is observed in the ethanol solution of the mixture of CCP and PDA, while the solution turns fluorescent upon introduction of ammonia, which is attributed to the formation of a supramolecular ensemble, PDA/(CCP)2/NH3. The fluorescence emission of the as-formed ensemble is sensitive to the presence of phenol, an electron-rich analyte. Interestingly, the sensing can also be observed in the film state, and the relevant detection limit (DL) is lower than 1 ppb. Moreover, the sensing could also be performed in a visualized manner. Upon the basis of the findings, a sensor device with instant response and good reversibility was developed. Further studies revealed that the as-developed fluorescent ensemble is also sensitive to the presence of TNT, an electron-poor compound. The DL for this sensing is ∼80 nM. To our knowledge, this is the first report that a fluorescent sensor could be used for phenol sensing in the vapor state, and for sensing of both electron-rich and electron-poor analytes in solution state. It is believed that the present study presents a distinctive example that demonstrates how smart sensing is realized via combination of the host-guest chemistry of calix[4]pyrrole and the aggregation and disaggregation property of PBI derivatives.
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Affiliation(s)
- Qingqing Sun
- Key Laboratory of Applied Surface and Colloid Chemistry, Ministry of Education, School of Chemistry and Chemical Engineering, Shaanxi Normal University , Xi'an 710119, P. R. China
| | - Yanchao Lü
- Key Laboratory of Applied Surface and Colloid Chemistry, Ministry of Education, School of Chemistry and Chemical Engineering, Shaanxi Normal University , Xi'an 710119, P. R. China
| | - Lingling Liu
- Key Laboratory of Applied Surface and Colloid Chemistry, Ministry of Education, School of Chemistry and Chemical Engineering, Shaanxi Normal University , Xi'an 710119, P. R. China
| | - Kaiqiang Liu
- Key Laboratory of Applied Surface and Colloid Chemistry, Ministry of Education, School of Chemistry and Chemical Engineering, Shaanxi Normal University , Xi'an 710119, P. R. China
| | - Rong Miao
- Key Laboratory of Applied Surface and Colloid Chemistry, Ministry of Education, School of Chemistry and Chemical Engineering, Shaanxi Normal University , Xi'an 710119, P. R. China
| | - Yu Fang
- Key Laboratory of Applied Surface and Colloid Chemistry, Ministry of Education, School of Chemistry and Chemical Engineering, Shaanxi Normal University , Xi'an 710119, P. R. China
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Liu L, Chen X, Liu K, He M, Wang G, Chang X, Fang Y. Formation of An Ionic PTCA-β-CDNH2 Complex and Its Application for Phenol Sensing in Aqueous Phase. ACS APPLIED MATERIALS & INTERFACES 2015; 7:21364-21372. [PMID: 26348064 DOI: 10.1021/acsami.5b06011] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
On the basis of proton transfer in aqueous phase, we prepared a water-soluble and highly fluorescent ionic complex of 3,4,9,10-perylene tetracarboxylic acid (PTCA) and 6-deoxy-6-amino-β-CD (β-CDNH2) and studied its fluorescence behavior. It was found that the fluorescence emission of the complex is sensitive and selective to the presence of trace amount of toxic phenolic compounds, in particular phenol, which is crucial for water quality control. The detection limit (DL) of the method to the analyte is ~0.03 μM, a lowest value reported in literatures for similar techniques. Interestingly, the detection at an unprecedented subnanogram (DL, ~0.12 ng/cm(2)) level can also be conducted in a visualized manner, which may provide a simple and low-cost protocol for on-site and real-time detection of the analyte. Moreover, the complex is humidity sensitive in dry state, and its color changes from bright yellow to bright green when exposed to wet vapor. Unlike other PTCA bisimide derivatives, preparation of the ionic complex of PTCA/β-CDNH2 is simple and avoids complicated synthetic burden. Furthermore, introduction of methanol into the aqueous solution of the complex resulted in aggregation as indicated by solution color change and proved by transmission electron microscopy and dynamic light scattering studies, which explains why the compound in dry state is sensitive to the presence of water and water vapor. X-ray diffraction, UV-vis, and fluorescence studies uncovered the H-packing nature of the structure of the aggregate.
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Affiliation(s)
- Lingling Liu
- Key Laboratory of Applied Surface and Colloid Chemistry (Ministry of Education), School of Chemistry and Chemical Engineering, Shaanxi Normal University , Xi'an 710119, People's Republic of China
| | - Xiangli Chen
- Key Laboratory of Applied Surface and Colloid Chemistry (Ministry of Education), School of Chemistry and Chemical Engineering, Shaanxi Normal University , Xi'an 710119, People's Republic of China
| | - Kaiqiang Liu
- Key Laboratory of Applied Surface and Colloid Chemistry (Ministry of Education), School of Chemistry and Chemical Engineering, Shaanxi Normal University , Xi'an 710119, People's Republic of China
| | - Meixia He
- Key Laboratory of Applied Surface and Colloid Chemistry (Ministry of Education), School of Chemistry and Chemical Engineering, Shaanxi Normal University , Xi'an 710119, People's Republic of China
| | - Gang Wang
- Key Laboratory of Applied Surface and Colloid Chemistry (Ministry of Education), School of Chemistry and Chemical Engineering, Shaanxi Normal University , Xi'an 710119, People's Republic of China
| | - Xingmao Chang
- Key Laboratory of Applied Surface and Colloid Chemistry (Ministry of Education), School of Chemistry and Chemical Engineering, Shaanxi Normal University , Xi'an 710119, People's Republic of China
| | - Yu Fang
- Key Laboratory of Applied Surface and Colloid Chemistry (Ministry of Education), School of Chemistry and Chemical Engineering, Shaanxi Normal University , Xi'an 710119, People's Republic of China
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Feenstra P, Brunsteiner M, Khinast J. Investigation of Migrant–Polymer Interaction in Pharmaceutical Packaging Material Using the Linear Interaction Energy Algorithm. J Pharm Sci 2014; 103:3197-204. [DOI: 10.1002/jps.24115] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2014] [Revised: 07/05/2014] [Accepted: 07/10/2014] [Indexed: 12/29/2022]
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9
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Brini E, Herbers CR, Deichmann G, van der Vegt NFA. Thermodynamic transferability of coarse-grained potentials for polymer–additive systems. Phys Chem Chem Phys 2012; 14:11896-903. [DOI: 10.1039/c2cp40735c] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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10
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Sulatha MS, Natarajan U. Effect of chemical substituents on the structure of glassy diphenyl polycarbonates. J Phys Chem B 2011; 115:1579-89. [PMID: 21275412 DOI: 10.1021/jp105954z] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Polycarbonates offer a wide variety of physical property behavior that is difficult to predict due to complexities at the molecular scale. Here, the physical structure of amorphous glassy polycarbonates having aliphatic and cycloaliphatic chemical groups is explored through atomistic simulations. The influence of chemical structure on solubility parameter, torsion distributions, radial distribution function, scattering structure factor, orientation distributions of phenylene rings and carbonate groups, and free volume distributions, leading to interchain packing effects, are shown. The effect of the cyclohexyl ring at the isopropylidene carbon as compared to the effect of the methyl groups positioned on the phenylene rings results in a larger reduction in the solubility parameter (δ). The interchain distance estimated for polycarbonates in this work is in the range of 5-5.8 Å. The o-methyl groups on the phenylene rings, as compared to a cyclohexyl ring, lead to higher interchain distances. The highest interchain distance is observed with a trimethylcyclohexylidene group at the isopropylidene carbon. Atomistic simulations reveal two different types of packing arrangement of nearest-neighbor chains in the glassy state, one type of which agrees with the NMR experimental data. The fundamental insights provided here can be utilized for design of chemical structures for tailored macroscopic properties.
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Affiliation(s)
- M S Sulatha
- Macromolecular Modeling and Simulation Laboratory, Polymer Chemistry Division, National Chemical Laboratory (NCL), Pune 411 008, India
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11
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Coarse-Grained Modeling for Macromolecular Chemistry. MULTISCALE MOLECULAR METHODS IN APPLIED CHEMISTRY 2011; 307:295-321. [DOI: 10.1007/128_2010_122] [Citation(s) in RCA: 47] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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12
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13
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Eslami H, Müller-Plathe F. Water permeability of poly(ethylene terephthalate): A grand canonical ensemble molecular dynamics simulation study. J Chem Phys 2009; 131:234904. [DOI: 10.1063/1.3274805] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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