Xiaoyu Xu, Yuxing Zhang, Haiyang Su, Yuning Wang, Kun Qian
{"title":"基于Zr-Fc MOF纳米片的代谢物检测质谱平台","authors":"Xiaoyu Xu, Yuxing Zhang, Haiyang Su, Yuning Wang, Kun Qian","doi":"10.1109/3M-NANO56083.2022.9941509","DOIUrl":null,"url":null,"abstract":"Novel Zr-Fc metal-organic framework (MOF) nanosheets based laser desorption/ionization mass spectrometry (LDI MS) platform has been developed for metabolites detection. The ultrathin Zr-Fc MOF nanosheets was synthesized using the bottom-up method. Furthermore, by optimizing the conditions, Zr-Fc MOF nanosheets exhibited excellent performance as an LDI MS matrix without background interference. The Zr-Fc MOF nanosheets based LDI MS platform has been successfully applied to detect various amino acids with high signal intensity (~ 105), which presents potential values in clinical metabolic analysis for disease diagnosis and evaluation.","PeriodicalId":370631,"journal":{"name":"2022 IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale (3M-NANO)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Zr-Fc MOF Nanosheets Based Mass Spectrometry Platform for Metabolites Detection\",\"authors\":\"Xiaoyu Xu, Yuxing Zhang, Haiyang Su, Yuning Wang, Kun Qian\",\"doi\":\"10.1109/3M-NANO56083.2022.9941509\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Novel Zr-Fc metal-organic framework (MOF) nanosheets based laser desorption/ionization mass spectrometry (LDI MS) platform has been developed for metabolites detection. The ultrathin Zr-Fc MOF nanosheets was synthesized using the bottom-up method. Furthermore, by optimizing the conditions, Zr-Fc MOF nanosheets exhibited excellent performance as an LDI MS matrix without background interference. The Zr-Fc MOF nanosheets based LDI MS platform has been successfully applied to detect various amino acids with high signal intensity (~ 105), which presents potential values in clinical metabolic analysis for disease diagnosis and evaluation.\",\"PeriodicalId\":370631,\"journal\":{\"name\":\"2022 IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale (3M-NANO)\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-08-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale (3M-NANO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/3M-NANO56083.2022.9941509\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale (3M-NANO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/3M-NANO56083.2022.9941509","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Zr-Fc MOF Nanosheets Based Mass Spectrometry Platform for Metabolites Detection
Novel Zr-Fc metal-organic framework (MOF) nanosheets based laser desorption/ionization mass spectrometry (LDI MS) platform has been developed for metabolites detection. The ultrathin Zr-Fc MOF nanosheets was synthesized using the bottom-up method. Furthermore, by optimizing the conditions, Zr-Fc MOF nanosheets exhibited excellent performance as an LDI MS matrix without background interference. The Zr-Fc MOF nanosheets based LDI MS platform has been successfully applied to detect various amino acids with high signal intensity (~ 105), which presents potential values in clinical metabolic analysis for disease diagnosis and evaluation.