Rafaela Costa Carmona, Rachel Duong, John F. Gamble, Lauren N. Grant, Helen Hughes, Simon Shun Wang Leung, Michael Tobyn, Linda Zheng
{"title":"测定粒径和表面积对药粉最小点火能的影响","authors":"Rafaela Costa Carmona, Rachel Duong, John F. Gamble, Lauren N. Grant, Helen Hughes, Simon Shun Wang Leung, Michael Tobyn, Linda Zheng","doi":"10.1021/acs.oprd.5c00052","DOIUrl":null,"url":null,"abstract":"Dust explosions constitute a significant risk in many industries. To identify materials for which mitigation strategies are required, information about the relative risk for each material is required. Such information will include characteristics such as the minimum ignition energy (MIE), but material availability represents a significant challenge for the pharmaceutical industry at early stages of development. These challenges contrast with the relatively high material requirements for risk characterization. To this end, there is significant interest in the application of models to predict MIE. The aims of this study were 2-fold. The first stage was to assess the predictive strength of a published MIE prediction model for a range of pharmaceutical powders. The second stage of the study was to investigate the role of particle size for a series of samples of ‘constant chemistry’ and varying size. The results demonstrate that the model provided ‘safe’ results for half the materials tested while the accuracy of the model was unsatisfactory. The results showed that the risk was often overestimated; thereby, the work required for safety mitigation would not add value to the process, or underestimated, raising the risk of inadequate safety mitigation. When the chemistry of the materials was maintained constant, significant differences in the relationship of particle size and surface area with the measured MIE were demonstrated. Overall, the work suggests that the relative influence of chemistry and particle properties on MIE shows notable differences between materials, thereby affecting the ability of the assessed model to accurately predict MIE.","PeriodicalId":55,"journal":{"name":"Organic Process Research & Development","volume":"53 1","pages":""},"PeriodicalIF":3.1000,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Determining the Influence of Particle Size and Surface Area on the Measured Minimum Ignition Energy of Pharmaceutical Powders\",\"authors\":\"Rafaela Costa Carmona, Rachel Duong, John F. Gamble, Lauren N. Grant, Helen Hughes, Simon Shun Wang Leung, Michael Tobyn, Linda Zheng\",\"doi\":\"10.1021/acs.oprd.5c00052\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Dust explosions constitute a significant risk in many industries. To identify materials for which mitigation strategies are required, information about the relative risk for each material is required. Such information will include characteristics such as the minimum ignition energy (MIE), but material availability represents a significant challenge for the pharmaceutical industry at early stages of development. These challenges contrast with the relatively high material requirements for risk characterization. To this end, there is significant interest in the application of models to predict MIE. The aims of this study were 2-fold. The first stage was to assess the predictive strength of a published MIE prediction model for a range of pharmaceutical powders. The second stage of the study was to investigate the role of particle size for a series of samples of ‘constant chemistry’ and varying size. The results demonstrate that the model provided ‘safe’ results for half the materials tested while the accuracy of the model was unsatisfactory. The results showed that the risk was often overestimated; thereby, the work required for safety mitigation would not add value to the process, or underestimated, raising the risk of inadequate safety mitigation. When the chemistry of the materials was maintained constant, significant differences in the relationship of particle size and surface area with the measured MIE were demonstrated. Overall, the work suggests that the relative influence of chemistry and particle properties on MIE shows notable differences between materials, thereby affecting the ability of the assessed model to accurately predict MIE.\",\"PeriodicalId\":55,\"journal\":{\"name\":\"Organic Process Research & Development\",\"volume\":\"53 1\",\"pages\":\"\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2025-05-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Organic Process Research & Development\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://doi.org/10.1021/acs.oprd.5c00052\",\"RegionNum\":3,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CHEMISTRY, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Organic Process Research & Development","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1021/acs.oprd.5c00052","RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, APPLIED","Score":null,"Total":0}
Determining the Influence of Particle Size and Surface Area on the Measured Minimum Ignition Energy of Pharmaceutical Powders
Dust explosions constitute a significant risk in many industries. To identify materials for which mitigation strategies are required, information about the relative risk for each material is required. Such information will include characteristics such as the minimum ignition energy (MIE), but material availability represents a significant challenge for the pharmaceutical industry at early stages of development. These challenges contrast with the relatively high material requirements for risk characterization. To this end, there is significant interest in the application of models to predict MIE. The aims of this study were 2-fold. The first stage was to assess the predictive strength of a published MIE prediction model for a range of pharmaceutical powders. The second stage of the study was to investigate the role of particle size for a series of samples of ‘constant chemistry’ and varying size. The results demonstrate that the model provided ‘safe’ results for half the materials tested while the accuracy of the model was unsatisfactory. The results showed that the risk was often overestimated; thereby, the work required for safety mitigation would not add value to the process, or underestimated, raising the risk of inadequate safety mitigation. When the chemistry of the materials was maintained constant, significant differences in the relationship of particle size and surface area with the measured MIE were demonstrated. Overall, the work suggests that the relative influence of chemistry and particle properties on MIE shows notable differences between materials, thereby affecting the ability of the assessed model to accurately predict MIE.
期刊介绍:
The journal Organic Process Research & Development serves as a communication tool between industrial chemists and chemists working in universities and research institutes. As such, it reports original work from the broad field of industrial process chemistry but also presents academic results that are relevant, or potentially relevant, to industrial applications. Process chemistry is the science that enables the safe, environmentally benign and ultimately economical manufacturing of organic compounds that are required in larger amounts to help address the needs of society. Consequently, the Journal encompasses every aspect of organic chemistry, including all aspects of catalysis, synthetic methodology development and synthetic strategy exploration, but also includes aspects from analytical and solid-state chemistry and chemical engineering, such as work-up tools,process safety, or flow-chemistry. The goal of development and optimization of chemical reactions and processes is their transfer to a larger scale; original work describing such studies and the actual implementation on scale is highly relevant to the journal. However, studies on new developments from either industry, research institutes or academia that have not yet been demonstrated on scale, but where an industrial utility can be expected and where the study has addressed important prerequisites for a scale-up and has given confidence into the reliability and practicality of the chemistry, also serve the mission of OPR&D as a communication tool between the different contributors to the field.