Selection of Silica Type and Amount for Flowability Enhancements via Dry Coating: Contact Mechanics Based Predictive Approach
Selection of Silica Type and Amount for Flowability Enhancements via Dry Coating: Contact Mechanics Based Predictive Approach
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选择二氧化硅类型和用量以通过干涂增强流动性：基于接触力学的预测方法
DOI：
10.1007/s11095-023-03561-6
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发表时间：
2023
影响因子：
3.7
通讯作者：
Davé, Rajesh N.
中科院分区：
文献类型：
--
作者：
Kunnath, Kuriakose T.;Tripathi, Siddharth;Kim, Sangah S.;Chen, Liang;Zheng, Kai;Davé, Rajesh N.
目的使用具有不同尺寸、表面粗糙度、形态和长宽比的 19 种药物粉末，研究干法涂覆二氧化硅的量和类型对粉末流动性增强的影响，并通过使用机械多粗糙颗粒接触模型估计的键数来评估流动可预测性。方法对所有粉末的颗粒尺寸、形状、密度、表面能和面积、基于 SEM 的形态和 FFC 进行评估。每种粉末均以 25%、50% 和 100% 表面积覆盖率 (SAC) 干涂疏水性 (R972P) 或亲水性 (A200) 纳米二氧化硅。通过粒径和键数评估流动可预测性。结果对于任一类型二氧化硅，在 50% SAC 下，所有粉末都观察到接近最大流动增强（一个或多个流动类别），相当于疏水性 R972P 或亲水性 A200 的 1 wt% 或更少，而 R972P 通常表现稍好。 SAC 的二氧化硅含量更好地帮助了解相对性能。观察了 FFC 和键数之间的幂律关系。结论在 50% SAC 下实现了显着的流动增强，验证了以前的模型。大多数未涂覆的高粘性粉末通过两种流动类别得到改进，实现了轻松流动。仅通过粒径无法预测未涂覆粉末和干涂覆粉末的流动性。使用机械多粗糙颗粒接触模型计算的键数，考虑了颗粒尺寸、表面能、粗糙度以及二氧化硅的数量和类型，预测结果明显更好。广泛接受的 200 nm 表面粗糙度对于大多数药物粉末来说无效。
PurposeTo investigate the effect of dry coating the amount and type of silica on powder flowability enhancement using a comprehensive set of 19 pharmaceutical powders having different sizes, surface roughness, morphology, and aspect ratios, as well as assess flow predictability via Bond number estimated using a mechanistic multi-asperity particle contact model.MethodParticle size, shape, density, surface energy and area, SEM-based morphology, and FFC were assessed for all powders. Hydrophobic (R972P) or hydrophilic (A200) nano-silica were dry coated for each powder at 25%, 50%, and 100% surface area coverage (SAC). Flow predictability was assessed via particle size and Bond number.ResultsNearly maximal flow enhancement, one or more flow category, was observed for all powders at 50% SAC of either type of silica, equivalent to 1 wt% or less for both the hydrophobic R972P or hydrophilic A200, while R972P generally performed slightly better. Silica amount as SAC better helped understand the relative performance. The power-law relation between FFC and Bond number was observed.ConclusionSignificant flow enhancements were achieved at 50% SAC, validating previous models. Most uncoatedvery cohesivepowders improved by two flow categories, attainingeasy flow. Flowability could not be predicted for both the uncoated and dry coated powders via particle size alone. Prediction was significantly better using Bond number computed via the mechanistic multi-asperity particle contact model accounting for the particle size, surface energy, roughness, and the amount and type of silica. The widely accepted 200 nm surface roughness was not valid for most pharmaceutical powders.
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影响因子：
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作者：
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通讯作者：
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影响因子：
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DOI：
10.1016/j.ejpb.2013.05.002
发表时间：
2013-11-01
影响因子：
4.9
作者：
Vercruysse, J.;Delaet, U.;Vervaet, C.
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DOI：
10.1016/j.ejps.2016.02.006
发表时间：
2016
期刊：
European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences
影响因子：
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