Performance assessment of linear iterative optimization technology (IOT) for Raman chemical mapping of pharmaceutical tablets

Gupta, Shashwat; Román-Ospino, Andrés D.; Baranwal, Yukteshwar; Hausner, Douglas B.; Ramachandran, Rohit; Muzzio, Fernando J.

doi:10.1016/j.jpba.2021.114305

Cited by 9 publications

(3 citation statements)

References 32 publications

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“…This bilinear model could produce several solutions, known as rotational ambiguity, which is the primary source of uncertainty. Thus, selecting the appropriate constraints is essential to obtain optimal solutions [ 30 , 41 , 42 ]. Once the optimization process has been finished, the MCR–ALS results are the set of concentration profiles, spectra and quality parameters (explained variance) related to the model [ 30 ].…”

Section: Discussionmentioning

confidence: 99%

“…For this, food detection technologies play a fundamental role [ 25 ]; therefore, it is urgent to develop rapid methods of nondestructive analysis to control the quality and safety of food and thus control its circulation in the market [ 47 ]. Chemical Raman imaging (CRI), in combination with chemometrics, can provide spectral information and spatial distributions of specific chemicals, analyzing them non-destructively [ 42 , 47 , 48 , 49 , 50 ]. However, in the food field, only a few investigations on the application of CRI have been reported [ 50 ].…”

Section: Discussionmentioning

confidence: 99%

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Evaluation of the Miscibility of Novel Cocoa Butter Equivalents by Raman Mapping and Multivariate Curve Resolution–Alternating Least Squares

Castro–Alayo

Torrejón-Valqui

Cayo-Colca

et al. 2021

Foods

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Cocoa butter (CB) is an ingredient traditionally used in the manufacturing of chocolates, but its availability is decreasing due to its scarcity and high cost. For this reason, other vegetable oils, known as cocoa butter equivalents (CBE), are used to replace CB partially or wholly. In the present work, two Peruvian vegetable oils, coconut oil (CNO) and sacha inchi oil (SIO), are proposed as novel CBEs. Confocal Raman microscopy (CRM) was used for the chemical differentiation and polymorphism of these oils with CB based on their Raman spectra. To analyze their miscibility, two types of blends were prepared: CB with CNO, and CB with SIO. Both were prepared at 5 different concentrations (5%, 15%, 25%, 35%, and 45%). Raman mapping was used to obtain the chemical maps of the blends and analyze their miscibility through distribution maps, histograms and relative standard deviation (RSD). These values were obtained with multivariate curve resolution–alternating least squares. The results show that both vegetable oils are miscible with CB at high concentrations: 45% for CNO and 35% for SIO. At low concentrations, their miscibility decreases. This shows that it is possible to consider these vegetable oils as novel CBEs in the manufacturing of chocolates.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Evaluation of the Miscibility of Novel Cocoa Butter Equivalents by Raman Mapping and Multivariate Curve Resolution–Alternating Least Squares

Castro–Alayo

Torrejón-Valqui

Cayo-Colca

et al. 2021

Foods

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“…Along with the rapid development of numerical simulation technology, a variety of numerical methods based on theoretical calculation, such as an iterative optimization method [8], finite element method [9], interpolation method [10] and neural network method [11] have been widely used in sterilization process research. However, realization of all these intelligent algorithms needs the support of large base of experimental data, which is to validate the drying and sterilization results of vails taken for experiments rather than to guarantee that every vial has been dried and sterilized as required.…”

Section: Critical Reviewmentioning

confidence: 99%

Modelling and Simulation of Nonlinear Dynamic Flow Field and Temperature Field of Depyrogenation Tunnel

Wang,

Zhu,

Huang

et al. 2024

FU Mech Eng

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Nonlinear dynamics plays a crucial role particularly in equipment validation of preparation production, validation results of which will significantly influence the results and period of drug registration in drug production processes. In this research, the flow field and temperature field simulation, calculation and analysis are creatively carried out in terms of depyrogenation tunnel, a very popular preparation drying-sterilization equipment in pharmaceutical processes with strong dynamic characteristics. After construction of 3D model of this equipment using Catia and mesh generation applying ANSYS, the computational fluid dynamic (CFD) method and verification of irrelevance method are carried out regarding 6.05 million of meshes to identify the flow velocity model and heat transfer model inside the equipment, to further provide methodology for pharmaceutical process validation and to further optimize the design of control methods. After calculation and simulation, the low-velocity vortices of different sizes inside the hood and the drying chamber are identified, which could cause vials to fall down; meanwhile, vials that are farther away from the outlet receives less heat exchange effect, which would shrink the effective sterilization area, indicating an inadequate validation methodology in pharmaceutical processes.

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SEM/EDX and Raman chemical imaging of pharmaceutical tablets: A comparison of tablet surface preparation and analysis methods

Gupta

Omar

Muzzio

2022

International Journal of Pharmaceutics

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Performance assessment of linear iterative optimization technology (IOT) for Raman chemical mapping of pharmaceutical tablets

Cited by 9 publications

References 32 publications

Evaluation of the Miscibility of Novel Cocoa Butter Equivalents by Raman Mapping and Multivariate Curve Resolution–Alternating Least Squares

Evaluation of the Miscibility of Novel Cocoa Butter Equivalents by Raman Mapping and Multivariate Curve Resolution–Alternating Least Squares

Modelling and Simulation of Nonlinear Dynamic Flow Field and Temperature Field of Depyrogenation Tunnel

SEM/EDX and Raman chemical imaging of pharmaceutical tablets: A comparison of tablet surface preparation and analysis methods

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