version 9.7.0 (r2019b) (MathWorks Inc)
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MathWorks Inc
version 9.7.0 (r2019b)
Version 9.7.0 (R2019b), supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/r2019b+version+9%2E7%2E0/pm39090988-375-10-1
Average 90 stars, based on 1 article reviews
Version 9.7.0 (R2019b), supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/r2019b+version+9%2E7%2E0/pm39090988-375-10-1
Average 90 stars, based on 1 article reviews
version 9.7.0 (r2019b) - by Bioz Stars,
2026-09
90/100 stars
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other:Article Title: Multi-layer Raman chemical mapping to investigate the effect of API particle size and blending shear rate on API domain sizes in pharmaceutical tablets. Article Snippet: While macromixing (gross uniformity) has received a lot of attention in pharmaceutical powder blending, micromixing (particularly, particle-level aggregation) has been significantly less studied.. This study investigated the impact of active pharmaceutical ingredient (API) particle size (D50: 11, 28, and 70 μm) and blending shear rate (low and high) that was caused by tumbling blending (specifically, a V-blender) on micro-mixing.. The effect on micro-mixing (API domain sizes) was assessed in direct compression tablets using high-resolution Raman chemical mapping. Article Title: Performance assessment of linear iterative optimization technology (IOT) for Raman chemical mapping of pharmaceutical tablets. Article Snippet: Raman chemical mapping is an inherently slow analysis tool.. Accurate and robust multivariate analysis algorithms, which require least amount of time and effort in method development are desirable.. Calibration-free regression and resolution approaches such as classical least squares (CLS) and multivariate curve resolution using alternating least squares (MCR-ALS), respectively, help in reducing the resources required for method development. Article Title: SEM/EDX and Raman chemical imaging of pharmaceutical tablets: A comparison of tablet surface preparation and analysis methods. Article Snippet: A better understanding of a pharmaceutical tablet’s microstructure has the potential to unlock the black box between material attributes, process parameters and the critical quality attributes.. Microstructure determination requires measuring the spatial-, particle size-distributions (absolute and relative) of the ingredients, and the void space, which is the overt goal of chemical Imaging (CI).. Reliable quantitative results can be obtained by imaging multiple layers per tablet, with each layer having a minimal surface roughness. |