Sasha D. Hafner , Sergi Astals , Christof Holliger , Konrad Koch , Lisa Nielsen , Lina Refsahl , Sören Weinrich
{"title":"评估生化甲烷电位测试的动力学结果的价值:来自大型实验室间研究的可重复性","authors":"Sasha D. Hafner , Sergi Astals , Christof Holliger , Konrad Koch , Lisa Nielsen , Lina Refsahl , Sören Weinrich","doi":"10.1016/j.clce.2022.100065","DOIUrl":null,"url":null,"abstract":"<div><p>Kinetic information extracted from biochemical methane potential (BMP) tests is often reported but its value is unclear. Inter-laboratory reproducibility provides a useful indication of its value. Here we extracted estimates of the first-order rate constant <span><math><mi>k</mi></math></span> from 1259 methane production curves collected in a large inter-laboratory study on BMP in order to quantify reproducibility. Reproducibility in <span><math><mi>k</mi></math></span> was poor; relative standard deviation was 50–140%. Substrate comparisons (<span><math><mi>k</mi></math></span> for one substrate compared to another) also had low reproducibility, regardless of low <span><math><mi>p</mi></math></span> values from inferential statistical tests. The use of a shared inoculum did not improve reproducibility in <span><math><mi>k</mi></math></span>. We conclude that <span><math><mi>k</mi></math></span> estimates from BMP tests only partially reflect intrinsic substrate properties. Therefore, interpretation and application of batch kinetic results should be done cautiously.</p></div>","PeriodicalId":100251,"journal":{"name":"Cleaner Chemical Engineering","volume":"4 ","pages":"Article 100065"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772782322000638/pdfft?md5=9c0ab10e29bb4c16b631fb47c93a53a7&pid=1-s2.0-S2772782322000638-main.pdf","citationCount":"2","resultStr":"{\"title\":\"Assessing the value of kinetic results from biochemical methane potential tests: Reproducibility from a large inter-laboratory study\",\"authors\":\"Sasha D. Hafner , Sergi Astals , Christof Holliger , Konrad Koch , Lisa Nielsen , Lina Refsahl , Sören Weinrich\",\"doi\":\"10.1016/j.clce.2022.100065\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Kinetic information extracted from biochemical methane potential (BMP) tests is often reported but its value is unclear. Inter-laboratory reproducibility provides a useful indication of its value. Here we extracted estimates of the first-order rate constant <span><math><mi>k</mi></math></span> from 1259 methane production curves collected in a large inter-laboratory study on BMP in order to quantify reproducibility. Reproducibility in <span><math><mi>k</mi></math></span> was poor; relative standard deviation was 50–140%. Substrate comparisons (<span><math><mi>k</mi></math></span> for one substrate compared to another) also had low reproducibility, regardless of low <span><math><mi>p</mi></math></span> values from inferential statistical tests. The use of a shared inoculum did not improve reproducibility in <span><math><mi>k</mi></math></span>. We conclude that <span><math><mi>k</mi></math></span> estimates from BMP tests only partially reflect intrinsic substrate properties. Therefore, interpretation and application of batch kinetic results should be done cautiously.</p></div>\",\"PeriodicalId\":100251,\"journal\":{\"name\":\"Cleaner Chemical Engineering\",\"volume\":\"4 \",\"pages\":\"Article 100065\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2772782322000638/pdfft?md5=9c0ab10e29bb4c16b631fb47c93a53a7&pid=1-s2.0-S2772782322000638-main.pdf\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cleaner Chemical Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2772782322000638\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cleaner Chemical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2772782322000638","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Assessing the value of kinetic results from biochemical methane potential tests: Reproducibility from a large inter-laboratory study
Kinetic information extracted from biochemical methane potential (BMP) tests is often reported but its value is unclear. Inter-laboratory reproducibility provides a useful indication of its value. Here we extracted estimates of the first-order rate constant from 1259 methane production curves collected in a large inter-laboratory study on BMP in order to quantify reproducibility. Reproducibility in was poor; relative standard deviation was 50–140%. Substrate comparisons ( for one substrate compared to another) also had low reproducibility, regardless of low values from inferential statistical tests. The use of a shared inoculum did not improve reproducibility in . We conclude that estimates from BMP tests only partially reflect intrinsic substrate properties. Therefore, interpretation and application of batch kinetic results should be done cautiously.