Vítor Luiz Caleffo Piva Bigão , Bruno Ruiz Brandão da Costa , Jonas Joaquim Mangabeira da Silva , Bruno Spinosa De Martinis , Delia Rita Tapia-Blácido
{"title":"在法医分析中使用统计实验设计 (DoE):有针对性的审查","authors":"Vítor Luiz Caleffo Piva Bigão , Bruno Ruiz Brandão da Costa , Jonas Joaquim Mangabeira da Silva , Bruno Spinosa De Martinis , Delia Rita Tapia-Blácido","doi":"10.1016/j.forc.2024.100554","DOIUrl":null,"url":null,"abstract":"<div><p>Forensic Analysis is strongly linked to Analytical Chemistry. Developing and optimizing methodologies to extract target substances from and to investigate the presence of analytes in bodily fluids is paramount, albeit a challenging task. In this scenario, the use of Statistical Design of Experiments (DoE) and Response Surface Methodology (RSM) tools in Forensic Analysis has increased over the last years. Therefore, understanding how these tools are being employed to identify, to determine, and to quantify toxicants in biological specimens has become relevant. This review shows two important findings from the forty reviewed papers: almost all the studies used DoE/RSM in the sample preparation step, but the chromatographic and detection phases of the analytical scheme were little explored. Additionally, the papers focused mainly on optimizing the analytical peak signals of the target compounds, suggesting that detectability was the major concern when multivariate techniques were applied to develop the method. We hope this review will encourage future researchers in this area to use more design and optimization tools in a global analytical method development scheme, so that fewer but efficient assays can be conducted, contributing to shortened analysis time and fewer experimentation requirements such as smaller amounts of sample and reagents.</p></div>","PeriodicalId":324,"journal":{"name":"Forensic Chemistry","volume":"37 ","pages":"Article 100554"},"PeriodicalIF":2.6000,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2468170924000067/pdfft?md5=041e6e5b285931525ce6e56790b73fd9&pid=1-s2.0-S2468170924000067-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Use of statistical design of experiments (DoE) in Forensic Analysis: A tailored review\",\"authors\":\"Vítor Luiz Caleffo Piva Bigão , Bruno Ruiz Brandão da Costa , Jonas Joaquim Mangabeira da Silva , Bruno Spinosa De Martinis , Delia Rita Tapia-Blácido\",\"doi\":\"10.1016/j.forc.2024.100554\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Forensic Analysis is strongly linked to Analytical Chemistry. Developing and optimizing methodologies to extract target substances from and to investigate the presence of analytes in bodily fluids is paramount, albeit a challenging task. In this scenario, the use of Statistical Design of Experiments (DoE) and Response Surface Methodology (RSM) tools in Forensic Analysis has increased over the last years. Therefore, understanding how these tools are being employed to identify, to determine, and to quantify toxicants in biological specimens has become relevant. This review shows two important findings from the forty reviewed papers: almost all the studies used DoE/RSM in the sample preparation step, but the chromatographic and detection phases of the analytical scheme were little explored. Additionally, the papers focused mainly on optimizing the analytical peak signals of the target compounds, suggesting that detectability was the major concern when multivariate techniques were applied to develop the method. We hope this review will encourage future researchers in this area to use more design and optimization tools in a global analytical method development scheme, so that fewer but efficient assays can be conducted, contributing to shortened analysis time and fewer experimentation requirements such as smaller amounts of sample and reagents.</p></div>\",\"PeriodicalId\":324,\"journal\":{\"name\":\"Forensic Chemistry\",\"volume\":\"37 \",\"pages\":\"Article 100554\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2024-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2468170924000067/pdfft?md5=041e6e5b285931525ce6e56790b73fd9&pid=1-s2.0-S2468170924000067-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Forensic Chemistry\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2468170924000067\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CHEMISTRY, ANALYTICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Forensic Chemistry","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2468170924000067","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
Use of statistical design of experiments (DoE) in Forensic Analysis: A tailored review
Forensic Analysis is strongly linked to Analytical Chemistry. Developing and optimizing methodologies to extract target substances from and to investigate the presence of analytes in bodily fluids is paramount, albeit a challenging task. In this scenario, the use of Statistical Design of Experiments (DoE) and Response Surface Methodology (RSM) tools in Forensic Analysis has increased over the last years. Therefore, understanding how these tools are being employed to identify, to determine, and to quantify toxicants in biological specimens has become relevant. This review shows two important findings from the forty reviewed papers: almost all the studies used DoE/RSM in the sample preparation step, but the chromatographic and detection phases of the analytical scheme were little explored. Additionally, the papers focused mainly on optimizing the analytical peak signals of the target compounds, suggesting that detectability was the major concern when multivariate techniques were applied to develop the method. We hope this review will encourage future researchers in this area to use more design and optimization tools in a global analytical method development scheme, so that fewer but efficient assays can be conducted, contributing to shortened analysis time and fewer experimentation requirements such as smaller amounts of sample and reagents.
期刊介绍:
Forensic Chemistry publishes high quality manuscripts focusing on the theory, research and application of any chemical science to forensic analysis. The scope of the journal includes fundamental advancements that result in a better understanding of the evidentiary significance derived from the physical and chemical analysis of materials. The scope of Forensic Chemistry will also include the application and or development of any molecular and atomic spectrochemical technique, electrochemical techniques, sensors, surface characterization techniques, mass spectrometry, nuclear magnetic resonance, chemometrics and statistics, and separation sciences (e.g. chromatography) that provide insight into the forensic analysis of materials. Evidential topics of interest to the journal include, but are not limited to, fingerprint analysis, drug analysis, ignitable liquid residue analysis, explosives detection and analysis, the characterization and comparison of trace evidence (glass, fibers, paints and polymers, tapes, soils and other materials), ink and paper analysis, gunshot residue analysis, synthetic pathways for drugs, toxicology and the analysis and chemistry associated with the components of fingermarks. The journal is particularly interested in receiving manuscripts that report advances in the forensic interpretation of chemical evidence. Technology Readiness Level: When submitting an article to Forensic Chemistry, all authors will be asked to self-assign a Technology Readiness Level (TRL) to their article. The purpose of the TRL system is to help readers understand the level of maturity of an idea or method, to help track the evolution of readiness of a given technique or method, and to help filter published articles by the expected ease of implementation in an operation setting within a crime lab.