R. Burtea, T. Upton, G.M. Jensen, S. Kim, K. Jalkanen
{"title":"利用傅立叶变换近红外光谱测定冻干药品样品中的残余水分:数据处理方法比较","authors":"R. Burtea, T. Upton, G.M. Jensen, S. Kim, K. Jalkanen","doi":"10.2174/0118779468275339231206062433","DOIUrl":null,"url":null,"abstract":"\n\nRemdesivir for injection is a Gilead Sciences manufactured drug\nproduct approved by the FDA to treat COVID-19. One of the critical attributes of this drug\nproduct, which is lyophilized, is its water moisture content. The current method used to determine\nthe water content of remdesivir is the Karl Fischer titration method. The Karl\nFischer method is considered the gold standard for determining the residual water moisture\ncontent of lyophilized drug products in the pharmaceutical industry. However, it is timeconsuming,\ncan at times be sensitive to difficult-to-control techniques, and most importantly\nis destructive. The purpose of this study was to create a non-destructive residual water\nmoisture determination method using FT-NIR.\n\n\n\nThree FT-NIR methods were proposed as a non-destructive alternative to Karl\nFischer method: partial least squares regression, Beer’s law and area under the curve, and\nBeer’s law and peak height. Results were statistically validated using RMSEC, RMSEP,\nand R2, and the percent differences of predicted and accepted residual moisture values\nwere compared with external validation vials.\n\n\n\nResults showed that the partial least squares regression method produced a 0.999\ncorrelation coefficient and a 95% performance index score, highlighting the accuracy between\nthe actual Karl Fischer moisture values and the predicted FT-NIR moisture values.\nThe Beer’s law methods produced acceptable correlation coefficients of 0.996 and 0.982\nfor the peak area and height, respectively, but comparisons between the actual and predicted\nvalues were not as closely matched as the partial least squares method.\n\n\n\nOur results support the use of a non-destructive partial least squares FT-NIRbased\nmoisture contest method, which is a useful alternative to the destructive Karl Fischer\nmethod for determining residual water moisture of lyophilized drug products. Only an FTNIR\ninstrument and chemometric statistical software along with the appropriately\ntrained/educated analysts, and routine Karl Fischer instrumentation to measure/determine\nmoisture content values of either water spiked or lyo-thieved and normal lyophilized samples\nare required.\n","PeriodicalId":89671,"journal":{"name":"Current physical chemistry","volume":"30 12","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Residual Moisture Determination in Lyophilized Drug Product\\nSamples Using FT-NIR: A Comparison of Data Processing\\nMethods\",\"authors\":\"R. Burtea, T. Upton, G.M. Jensen, S. Kim, K. Jalkanen\",\"doi\":\"10.2174/0118779468275339231206062433\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n\\nRemdesivir for injection is a Gilead Sciences manufactured drug\\nproduct approved by the FDA to treat COVID-19. One of the critical attributes of this drug\\nproduct, which is lyophilized, is its water moisture content. The current method used to determine\\nthe water content of remdesivir is the Karl Fischer titration method. The Karl\\nFischer method is considered the gold standard for determining the residual water moisture\\ncontent of lyophilized drug products in the pharmaceutical industry. However, it is timeconsuming,\\ncan at times be sensitive to difficult-to-control techniques, and most importantly\\nis destructive. The purpose of this study was to create a non-destructive residual water\\nmoisture determination method using FT-NIR.\\n\\n\\n\\nThree FT-NIR methods were proposed as a non-destructive alternative to Karl\\nFischer method: partial least squares regression, Beer’s law and area under the curve, and\\nBeer’s law and peak height. Results were statistically validated using RMSEC, RMSEP,\\nand R2, and the percent differences of predicted and accepted residual moisture values\\nwere compared with external validation vials.\\n\\n\\n\\nResults showed that the partial least squares regression method produced a 0.999\\ncorrelation coefficient and a 95% performance index score, highlighting the accuracy between\\nthe actual Karl Fischer moisture values and the predicted FT-NIR moisture values.\\nThe Beer’s law methods produced acceptable correlation coefficients of 0.996 and 0.982\\nfor the peak area and height, respectively, but comparisons between the actual and predicted\\nvalues were not as closely matched as the partial least squares method.\\n\\n\\n\\nOur results support the use of a non-destructive partial least squares FT-NIRbased\\nmoisture contest method, which is a useful alternative to the destructive Karl Fischer\\nmethod for determining residual water moisture of lyophilized drug products. Only an FTNIR\\ninstrument and chemometric statistical software along with the appropriately\\ntrained/educated analysts, and routine Karl Fischer instrumentation to measure/determine\\nmoisture content values of either water spiked or lyo-thieved and normal lyophilized samples\\nare required.\\n\",\"PeriodicalId\":89671,\"journal\":{\"name\":\"Current physical chemistry\",\"volume\":\"30 12\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Current physical chemistry\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2174/0118779468275339231206062433\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current physical chemistry","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/0118779468275339231206062433","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Residual Moisture Determination in Lyophilized Drug Product
Samples Using FT-NIR: A Comparison of Data Processing
Methods
Remdesivir for injection is a Gilead Sciences manufactured drug
product approved by the FDA to treat COVID-19. One of the critical attributes of this drug
product, which is lyophilized, is its water moisture content. The current method used to determine
the water content of remdesivir is the Karl Fischer titration method. The Karl
Fischer method is considered the gold standard for determining the residual water moisture
content of lyophilized drug products in the pharmaceutical industry. However, it is timeconsuming,
can at times be sensitive to difficult-to-control techniques, and most importantly
is destructive. The purpose of this study was to create a non-destructive residual water
moisture determination method using FT-NIR.
Three FT-NIR methods were proposed as a non-destructive alternative to Karl
Fischer method: partial least squares regression, Beer’s law and area under the curve, and
Beer’s law and peak height. Results were statistically validated using RMSEC, RMSEP,
and R2, and the percent differences of predicted and accepted residual moisture values
were compared with external validation vials.
Results showed that the partial least squares regression method produced a 0.999
correlation coefficient and a 95% performance index score, highlighting the accuracy between
the actual Karl Fischer moisture values and the predicted FT-NIR moisture values.
The Beer’s law methods produced acceptable correlation coefficients of 0.996 and 0.982
for the peak area and height, respectively, but comparisons between the actual and predicted
values were not as closely matched as the partial least squares method.
Our results support the use of a non-destructive partial least squares FT-NIRbased
moisture contest method, which is a useful alternative to the destructive Karl Fischer
method for determining residual water moisture of lyophilized drug products. Only an FTNIR
instrument and chemometric statistical software along with the appropriately
trained/educated analysts, and routine Karl Fischer instrumentation to measure/determine
moisture content values of either water spiked or lyo-thieved and normal lyophilized samples
are required.