Margaret Hoare, Ruiyue Tan, Isabella Militi, Kevin A Welle, Kyle Swovick, Jennifer R Hryhorenko, Sina Ghaemmaghami
Methionine oxidation is involved in multiple biological processes including protein misfolding and enzyme regulation. However, it is often challenging to measure levels of methionine oxidation by mass spectrometry, in part due to the prevalence of artifactual oxidation that occurs during the sample preparation and ionization steps of typical proteomic workflows. Isotopically labeled hydrogen peroxide (H218O2) can be used to block unoxidized methionines and enables accurate measurement of in vivo levels of methionine oxidation. However, H218O2 is an expensive reagent that can be difficult to obtain from commercial sources. Here, we report a method for synthesizing H218O2 in-house. Glucose oxidase catalyzes the oxidation of β-d-glucose and produces hydrogen peroxide in the process. We took advantage of this reaction to enzymatically synthesize H218O2 from 18O2 and assessed its concentration, purity, and utility in measuring methionine oxidation levels by mass spectrometry.
{"title":"Enzymatic Synthesis of Isotopically Labeled Hydrogen Peroxide for Mass Spectrometry-Based Applications.","authors":"Margaret Hoare, Ruiyue Tan, Isabella Militi, Kevin A Welle, Kyle Swovick, Jennifer R Hryhorenko, Sina Ghaemmaghami","doi":"10.1021/jasms.4c00326","DOIUrl":"https://doi.org/10.1021/jasms.4c00326","url":null,"abstract":"<p><p>Methionine oxidation is involved in multiple biological processes including protein misfolding and enzyme regulation. However, it is often challenging to measure levels of methionine oxidation by mass spectrometry, in part due to the prevalence of artifactual oxidation that occurs during the sample preparation and ionization steps of typical proteomic workflows. Isotopically labeled hydrogen peroxide (H<sub>2</sub><sup>18</sup>O<sub>2</sub>) can be used to block unoxidized methionines and enables accurate measurement of <i>in vivo</i> levels of methionine oxidation. However, H<sub>2</sub><sup>18</sup>O<sub>2</sub> is an expensive reagent that can be difficult to obtain from commercial sources. Here, we report a method for synthesizing H<sub>2</sub><sup>18</sup>O<sub>2</sub> in-house. Glucose oxidase catalyzes the oxidation of β-d-glucose and produces hydrogen peroxide in the process. We took advantage of this reaction to enzymatically synthesize H<sub>2</sub><sup>18</sup>O<sub>2</sub> from <sup>18</sup>O<sub>2</sub> and assessed its concentration, purity, and utility in measuring methionine oxidation levels by mass spectrometry.</p>","PeriodicalId":672,"journal":{"name":"Journal of the American Society for Mass Spectrometry","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142370692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Faces of Mass Spectrometry/Mike Morris.","authors":"Anne Brenner, J D Brookbank","doi":"10.1021/jasms.4c00386","DOIUrl":"https://doi.org/10.1021/jasms.4c00386","url":null,"abstract":"","PeriodicalId":672,"journal":{"name":"Journal of the American Society for Mass Spectrometry","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142370693","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-02Epub Date: 2024-08-26DOI: 10.1021/jasms.4c00009
Romain Magny, Bertrand Lefrère, Emmanuel Roulland, Nicolas Auzeil, Soha Farah, Camille Richeval, Alexandr Gish, Dominique Vodovar, Laurence Labat, Pascal Houzé
The comprehensive detection of new psychoactive substances, including synthetic cannabinoids along with their associated metabolites in biological samples, remains an analytical challenge. To detect these chemicals, untargeted approaches using appropriate bioinformatic tools such as molecular networks are useful, albeit it necessitates as a prerequisite the identification of a node of interest within the cluster. To illustrate it, we reported in this study the identification of synthetic cannabinoids and some of their metabolites in seized e-liquid, urine, and hair collected from an 18-year-old poisoned patient hospitalized for neuropsychiatric disorders. A comprehensive analysis of the seized e-liquid was performed using gas chromatography coupled with electron ionization mass spectrometry, 1H NMR, and liquid chromatography coupled with high resolution tandem mass spectrometry combined with data processing based on molecular network strategy. It allowed researchers to detect in the e-liquid known synthetic cannabinoids including MDMB-4en-PINACA, EDMB-4en-PINACA, MMB-4en-PINACA, and MDMB-5F-PICA. Compounds corresponding to transesterification of MDMB-4en-PINACA with pentenol, glycerol, and propylene glycol were also identified. Regarding the urine sample of the patient, metabolites of MDMB-4en-PINACA were detected, including MDMB-4en-PINACA butanoic acid, dihydroxylated MDMB-4en-PINACA butanoic acid, and glucurono-conjugated MDMB-4en-PINACA butanoic acid. Hair analysis of the patient allowed the detection of MDMB-4en-PINACA and MDMB-5F-PICA in the two investigated hair segments. This untargeted analysis of seized materials and biological samples demonstrates the utility of the molecular network strategy in identifying closely related compounds and metabolites of synthetic cannabinoids. It also emphasizes the need for developing strategies to anchor molecular networks, especially for new psychoactive substances.
{"title":"Feature-Based Molecular Network for New Psychoactive Substance Identification: The Case of Synthetic Cannabinoids in a Seized e-Liquid and Biological Samples.","authors":"Romain Magny, Bertrand Lefrère, Emmanuel Roulland, Nicolas Auzeil, Soha Farah, Camille Richeval, Alexandr Gish, Dominique Vodovar, Laurence Labat, Pascal Houzé","doi":"10.1021/jasms.4c00009","DOIUrl":"10.1021/jasms.4c00009","url":null,"abstract":"<p><p>The comprehensive detection of new psychoactive substances, including synthetic cannabinoids along with their associated metabolites in biological samples, remains an analytical challenge. To detect these chemicals, untargeted approaches using appropriate bioinformatic tools such as molecular networks are useful, albeit it necessitates as a prerequisite the identification of a node of interest within the cluster. To illustrate it, we reported in this study the identification of synthetic cannabinoids and some of their metabolites in seized e-liquid, urine, and hair collected from an 18-year-old poisoned patient hospitalized for neuropsychiatric disorders. A comprehensive analysis of the seized e-liquid was performed using gas chromatography coupled with electron ionization mass spectrometry, <sup>1</sup>H NMR, and liquid chromatography coupled with high resolution tandem mass spectrometry combined with data processing based on molecular network strategy. It allowed researchers to detect in the e-liquid known synthetic cannabinoids including MDMB-4en-PINACA, EDMB-4en-PINACA, MMB-4en-PINACA, and MDMB-5F-PICA. Compounds corresponding to transesterification of MDMB-4en-PINACA with pentenol, glycerol, and propylene glycol were also identified. Regarding the urine sample of the patient, metabolites of MDMB-4en-PINACA were detected, including MDMB-4en-PINACA butanoic acid, dihydroxylated MDMB-4en-PINACA butanoic acid, and glucurono-conjugated MDMB-4en-PINACA butanoic acid. Hair analysis of the patient allowed the detection of MDMB-4en-PINACA and MDMB-5F-PICA in the two investigated hair segments. This untargeted analysis of seized materials and biological samples demonstrates the utility of the molecular network strategy in identifying closely related compounds and metabolites of synthetic cannabinoids. It also emphasizes the need for developing strategies to anchor molecular networks, especially for new psychoactive substances.</p>","PeriodicalId":672,"journal":{"name":"Journal of the American Society for Mass Spectrometry","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142071707","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-02Epub Date: 2024-09-03DOI: 10.1021/jasms.4c00229
Rory P Downham, Christopher H Vane, Benedict Gannon, Lydia A Olaka, Mark P Barrow
Nairobi River sediments from locations adjacent to the Kawangware and Kiambio slums were analyzed via Fourier transform ion cyclotron resonance mass spectrometry with atmospheric pressure photoionization (APPI-FT-ICR-MS). The data from these ultrahigh resolution, untargeted measurements provided new insights into the impacts of local anthropogenic activity, which included likely benzo- and dibenzothiophene pollution with a suspected petrogenic origin, and prominent surfactant-like compositions. Other features in the data included highly abundant tetra-oxygenated compounds, and oxygenated nitrogen compounds with sphingolipid interpretations. Most notably, several hydrocarbon and oxygenated compound classes in the sediment data featured intensity patterns consistent with steroid molecular formulas, including those associated with sewage contamination investigatory work. In support of this interpretation, standards of cholesterol, β-sitosterol, stigmasterol, coprostanol, cholestanol, and 5α-sitostanol were analyzed via APPI, to explore steroid ionization behavior. Generally, these analytes produced radical molecular ions ([M]•+), and water-loss pseudo molecular ion species ([M-H2O]•+ and [M+H-H2O]+), among various other less intense contributions. The absence of pseudo molecular protonated species ([M+H]+) was notable for these compounds, because these are often assumed to form with APPI. The standard measurements demonstrated how steroids can create the observed intensity patterns in FT-ICR-MS data, and hence these patterns have the potential to indicate sewage contamination in the analysis of other complex environmental samples. The steroid interpretation for the Kawangware and Kiambio data was further verified by subjecting the steroid standard radical molecular ions to collision-induced dissociation and comparing the detected fragments to those for the corresponding isolated ions from a Kawangware sediment sample.
{"title":"Sewage and Organic Pollution Compounds in Nairobi River Urban Sediments Characterized by Fourier Transform Ion Cyclotron Resonance Mass Spectrometry (FT-ICR-MS).","authors":"Rory P Downham, Christopher H Vane, Benedict Gannon, Lydia A Olaka, Mark P Barrow","doi":"10.1021/jasms.4c00229","DOIUrl":"10.1021/jasms.4c00229","url":null,"abstract":"<p><p>Nairobi River sediments from locations adjacent to the Kawangware and Kiambio slums were analyzed via Fourier transform ion cyclotron resonance mass spectrometry with atmospheric pressure photoionization (APPI-FT-ICR-MS). The data from these ultrahigh resolution, untargeted measurements provided new insights into the impacts of local anthropogenic activity, which included likely benzo- and dibenzothiophene pollution with a suspected petrogenic origin, and prominent surfactant-like compositions. Other features in the data included highly abundant tetra-oxygenated compounds, and oxygenated nitrogen compounds with sphingolipid interpretations. Most notably, several hydrocarbon and oxygenated compound classes in the sediment data featured intensity patterns consistent with steroid molecular formulas, including those associated with sewage contamination investigatory work. In support of this interpretation, standards of cholesterol, β-sitosterol, stigmasterol, coprostanol, cholestanol, and 5α-sitostanol were analyzed via APPI, to explore steroid ionization behavior. Generally, these analytes produced radical molecular ions ([M]<sup>•+</sup>), and water-loss pseudo molecular ion species ([M-H<sub>2</sub>O]<sup>•+</sup> and [M+H-H<sub>2</sub>O]<sup>+</sup>), among various other less intense contributions. The absence of pseudo molecular protonated species ([M+H]<sup>+</sup>) was notable for these compounds, because these are often assumed to form with APPI. The standard measurements demonstrated how steroids can create the observed intensity patterns in FT-ICR-MS data, and hence these patterns have the potential to indicate sewage contamination in the analysis of other complex environmental samples. The steroid interpretation for the Kawangware and Kiambio data was further verified by subjecting the steroid standard radical molecular ions to collision-induced dissociation and comparing the detected fragments to those for the corresponding isolated ions from a Kawangware sediment sample.</p>","PeriodicalId":672,"journal":{"name":"Journal of the American Society for Mass Spectrometry","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142124389","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-02Epub Date: 2024-09-02DOI: 10.1021/jasms.4c00178
Emerson Hernly, Hang Hu, Julia Laskin
Mass spectrometry imaging (MSI) provides information about the spatial localization of molecules in complex samples with high sensitivity and molecular selectivity. Although point-wise data acquisition, in which mass spectra are acquired at predefined points in a grid pattern, is common in MSI, several MSI techniques use line-wise data acquisition. In line-wise mode, the imaged surface is continuously sampled along consecutive parallel lines and MSI data are acquired as a collection of line scans across the sample. Furthermore, aside from the standard imaging mode in which full mass spectra are acquired, other acquisition modes have been developed to enhance molecular specificity, enable separation of isobaric and isomeric species, and improve sensitivity to facilitate the imaging of low abundance species. These methods, including MS/MS-MSI in both MS2 and MS3 modes, multiple-reaction monitoring (MRM)-MSI, and ion mobility spectrometry (IMS)-MSI have all demonstrated their capabilities, but their broader implementation is limited by the existing MSI analysis software. Here, we present MSIGen, an open-source Python package for the visualization of MSI experiments performed in line-wise acquisition mode containing MS1, MS2, MRM, and IMS data, which is available at https://github.com/LabLaskin/MSIGen. The package supports multiple vendor-specific and open-source data formats and contains tools for targeted extraction of ion images, normalization, and exportation as images, arrays, or publication-style images. MSIGen offers multiple interfaces, allowing for accessibility and easy integration with other workflows. Considering its support for a wide variety of MSI imaging modes and vendor formats, MSIGen is a valuable tool for the visualization and analysis of MSI data.
{"title":"MSIGen: An Open-Source Python Package for Processing and Visualizing Mass Spectrometry Imaging Data.","authors":"Emerson Hernly, Hang Hu, Julia Laskin","doi":"10.1021/jasms.4c00178","DOIUrl":"10.1021/jasms.4c00178","url":null,"abstract":"<p><p>Mass spectrometry imaging (MSI) provides information about the spatial localization of molecules in complex samples with high sensitivity and molecular selectivity. Although point-wise data acquisition, in which mass spectra are acquired at predefined points in a grid pattern, is common in MSI, several MSI techniques use line-wise data acquisition. In line-wise mode, the imaged surface is continuously sampled along consecutive parallel lines and MSI data are acquired as a collection of line scans across the sample. Furthermore, aside from the standard imaging mode in which full mass spectra are acquired, other acquisition modes have been developed to enhance molecular specificity, enable separation of isobaric and isomeric species, and improve sensitivity to facilitate the imaging of low abundance species. These methods, including MS/MS-MSI in both MS<sup>2</sup> and MS<sup>3</sup> modes, multiple-reaction monitoring (MRM)-MSI, and ion mobility spectrometry (IMS)-MSI have all demonstrated their capabilities, but their broader implementation is limited by the existing MSI analysis software. Here, we present MSIGen, an open-source Python package for the visualization of MSI experiments performed in line-wise acquisition mode containing MS<sup>1</sup>, MS<sup>2</sup>, MRM, and IMS data, which is available at https://github.com/LabLaskin/MSIGen. The package supports multiple vendor-specific and open-source data formats and contains tools for targeted extraction of ion images, normalization, and exportation as images, arrays, or publication-style images. MSIGen offers multiple interfaces, allowing for accessibility and easy integration with other workflows. Considering its support for a wide variety of MSI imaging modes and vendor formats, MSIGen is a valuable tool for the visualization and analysis of MSI data.</p>","PeriodicalId":672,"journal":{"name":"Journal of the American Society for Mass Spectrometry","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142103240","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-02Epub Date: 2024-06-25DOI: 10.1021/jasms.4c00117
Nicole C Auvil, Mark E Bier
A small ionization needle with an ultrasharp, ultrafine tip is introduced. It is lab-fabricated from tungsten wire and serves as a corona discharge emitter in nanoelectrode atmospheric pressure chemical ionization mass spectrometry (nAPCI-MS). Tip radii ranged from 8 to 44 nm, up to 44× smaller than the sharpest previously reported corona needle. Because of this, nAPCI was able to operate at +1.0 kV with no auxiliary counter electrode. Alternatively, at +1.2 kV, nAPCI could be enclosed in a small plastic assembly for headspace analysis with a sampling tube attachment as long as 15 m. No added heat or gas flow was necessary. The efficacy of nAPCI-MS was demonstrated through needle durability studies and direct analysis of vapors from real-world samples. Provisional identifications include ibuprofen from a pharmaceutical tablet, albuterol aerosol sprayed from a medical inhaler, cocaine from paper currency, caffeine from a fingertip, and bisphenol E from a paper receipt.
{"title":"Nanoelectrode Atmospheric Pressure Chemical Ionization Mass Spectrometry.","authors":"Nicole C Auvil, Mark E Bier","doi":"10.1021/jasms.4c00117","DOIUrl":"10.1021/jasms.4c00117","url":null,"abstract":"<p><p>A small ionization needle with an ultrasharp, ultrafine tip is introduced. It is lab-fabricated from tungsten wire and serves as a corona discharge emitter in nanoelectrode atmospheric pressure chemical ionization mass spectrometry (nAPCI-MS). Tip radii ranged from 8 to 44 nm, up to 44× smaller than the sharpest previously reported corona needle. Because of this, nAPCI was able to operate at +1.0 kV with no auxiliary counter electrode. Alternatively, at +1.2 kV, nAPCI could be enclosed in a small plastic assembly for headspace analysis with a sampling tube attachment as long as 15 m. No added heat or gas flow was necessary. The efficacy of nAPCI-MS was demonstrated through needle durability studies and direct analysis of vapors from real-world samples. Provisional identifications include ibuprofen from a pharmaceutical tablet, albuterol aerosol sprayed from a medical inhaler, cocaine from paper currency, caffeine from a fingertip, and bisphenol E from a paper receipt.</p>","PeriodicalId":672,"journal":{"name":"Journal of the American Society for Mass Spectrometry","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141449283","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-02Epub Date: 2024-08-30DOI: 10.1021/jasms.4c00185
Alyssa A Nitz, Ansima R Mongane, Luke Squires, Samuel H Payne
{"title":"Attracting Computational Researchers to Proteomics.","authors":"Alyssa A Nitz, Ansima R Mongane, Luke Squires, Samuel H Payne","doi":"10.1021/jasms.4c00185","DOIUrl":"10.1021/jasms.4c00185","url":null,"abstract":"","PeriodicalId":672,"journal":{"name":"Journal of the American Society for Mass Spectrometry","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142103237","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-02Epub Date: 2024-09-02DOI: 10.1021/jasms.4c00277
Simone Mathias, Marius Amerio-Cox, Toni Jackson, David Douce, Bryan McCullough, Ashley Sage, Peter Luke, Carol Crean, Patrick Sears
The utilization of ambient ionization (AI) techniques for mass spectrometry (MS) has significantly grown due to their ability to facilitate rapid and direct sample analysis with minimal sample preparation. This study investigates the performance of various AI techniques, including atmospheric solids analysis probe (ASAP), thermal desorption corona discharge (TDCD), direct analysis in real time (DART), and paper spray coupled to a Waters QDa mass spectrometer. The focus is on evaluating the linearity, repeatability, and limit of detection (LOD) of these techniques across a range of analytes, including amino acids, drugs, and explosives. The results show that each AI technique exhibits distinct advantages and limitations. ASAP and DART cover high concentration ranges, which may make them suitable for semiquantitative analysis. TDCD demonstrates exceptional linearity and repeatability for most analytes, while paper spray offers surprising LODs despite its complex setup (between 80 and 400 pg for most analytes). The comparison with electrospray ionization (ESI) as a standard method shows that ambient ionization techniques can achieve competitive LODs for various compounds such as PETN (80 pg ESI vs 100 pg ASAP), TNT (9 pg ESI vs 4 pg ASAP), and RDX (4 pg ESI vs 10 pg ASAP). This study underscores the importance of selecting the appropriate ambient ionization technique based on the specific analytical requirements. This comprehensive evaluation contributes valuable insights into the selection and optimization of AI techniques for diverse analytical applications.
由于环境电离(AI)技术只需最少的样品制备就能快速直接地进行样品分析,因此其在质谱分析(MS)中的应用有了显著的增长。本研究调查了各种 AI 技术的性能,包括大气固体分析探针 (ASAP)、热解吸电晕放电 (TDCD)、实时直接分析 (DART) 以及与沃特斯 QDa 质谱仪耦合的纸喷雾。重点是评估这些技术在一系列分析物(包括氨基酸、药物和爆炸物)中的线性度、可重复性和检测限(LOD)。结果表明,每种人工智能技术都具有明显的优势和局限性。ASAP 和 DART 可覆盖高浓度范围,因此适合进行半定量分析。对于大多数分析物,TDCD 显示出卓越的线性和可重复性,而纸喷雾尽管设置复杂(对于大多数分析物在 80 到 400 pg 之间),却能提供令人惊讶的 LOD。与作为标准方法的电喷雾离子化(ESI)的比较表明,环境离子化技术可以对各种化合物(如 PETN(80 pg ESI 与 100 pg ASAP)、TNT(9 pg ESI 与 4 pg ASAP)和 RDX(4 pg ESI 与 10 pg ASAP))实现有竞争力的 LOD。这项研究强调了根据具体分析要求选择合适的环境电离技术的重要性。这项综合评估为选择和优化用于各种分析应用的 AI 技术提供了宝贵的见解。
{"title":"Performance Comparison of Ambient Ionization Techniques Using a Single Quadrupole Mass Spectrometer for the Analysis of Amino Acids, Drugs, and Explosives.","authors":"Simone Mathias, Marius Amerio-Cox, Toni Jackson, David Douce, Bryan McCullough, Ashley Sage, Peter Luke, Carol Crean, Patrick Sears","doi":"10.1021/jasms.4c00277","DOIUrl":"10.1021/jasms.4c00277","url":null,"abstract":"<p><p>The utilization of ambient ionization (AI) techniques for mass spectrometry (MS) has significantly grown due to their ability to facilitate rapid and direct sample analysis with minimal sample preparation. This study investigates the performance of various AI techniques, including atmospheric solids analysis probe (ASAP), thermal desorption corona discharge (TDCD), direct analysis in real time (DART), and paper spray coupled to a Waters QDa mass spectrometer. The focus is on evaluating the linearity, repeatability, and limit of detection (LOD) of these techniques across a range of analytes, including amino acids, drugs, and explosives. The results show that each AI technique exhibits distinct advantages and limitations. ASAP and DART cover high concentration ranges, which may make them suitable for semiquantitative analysis. TDCD demonstrates exceptional linearity and repeatability for most analytes, while paper spray offers surprising LODs despite its complex setup (between 80 and 400 pg for most analytes). The comparison with electrospray ionization (ESI) as a standard method shows that ambient ionization techniques can achieve competitive LODs for various compounds such as PETN (80 pg ESI vs 100 pg ASAP), TNT (9 pg ESI vs 4 pg ASAP), and RDX (4 pg ESI vs 10 pg ASAP). This study underscores the importance of selecting the appropriate ambient ionization technique based on the specific analytical requirements. This comprehensive evaluation contributes valuable insights into the selection and optimization of AI techniques for diverse analytical applications.</p>","PeriodicalId":672,"journal":{"name":"Journal of the American Society for Mass Spectrometry","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142103241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-02Epub Date: 2024-08-29DOI: 10.1021/jasms.4c00285
Zachary J Kirsch, Jonathan Ashby, Richard W Vachet
Nucleic acids are important biomolecules that facilitate numerous cellular functions and have in recent years become promising candidates for treating disease. Consequently, there is a need for methods to characterize protein interactions with these molecules. Here, we demonstrate that diethylpyrocarbonate (DEPC) covalent labeling-mass spectrometry (CL-MS) can provide structural information for protein-nucleic acid binding by characterizing the binding sites of two DNA aptamers specific to thrombin. Reductions in thrombin labeling are observed at the pair's binding interfaces. Furthermore, we find that binding of the aptamers causes changes in labeling at residues in the thrombin active site and known exosites for each aptamer, showcasing the sensitivity of DEPC CL-MS to significant allosteric changes.
{"title":"Investigating Protein-Nucleic Acid Binding Interactions with Diethylpyrocarbonate Covalent Labeling-Mass Spectrometry.","authors":"Zachary J Kirsch, Jonathan Ashby, Richard W Vachet","doi":"10.1021/jasms.4c00285","DOIUrl":"10.1021/jasms.4c00285","url":null,"abstract":"<p><p>Nucleic acids are important biomolecules that facilitate numerous cellular functions and have in recent years become promising candidates for treating disease. Consequently, there is a need for methods to characterize protein interactions with these molecules. Here, we demonstrate that diethylpyrocarbonate (DEPC) covalent labeling-mass spectrometry (CL-MS) can provide structural information for protein-nucleic acid binding by characterizing the binding sites of two DNA aptamers specific to thrombin. Reductions in thrombin labeling are observed at the pair's binding interfaces. Furthermore, we find that binding of the aptamers causes changes in labeling at residues in the thrombin active site and known exosites for each aptamer, showcasing the sensitivity of DEPC CL-MS to significant allosteric changes.</p>","PeriodicalId":672,"journal":{"name":"Journal of the American Society for Mass Spectrometry","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142103239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-02Epub Date: 2024-08-30DOI: 10.1021/jasms.4c00281
Mingming Wang, Brian O'Day, Brian Michaels, Jurjus Jurayj, Bao Zhong Cai, Tao Wei
Sequencing of phosphorodiamidate morpholino oligomers (PMOs) by hydrophilic interaction chromatography (HILIC) coupled to tandem mass spectrometry (MS/MS) is reported. The MS/MS analysis was performed using a quadrupole/time-of-flight (Q-ToF) mass analyzer and collision induced dissociation (CID) in negative ion mode. To improve MS sensitivity in negative ion mode, HILIC conditions, including the separation column, mobile phases, and MS parameters, were optimized. Using the developed HILIC-CID-MS/MS method, 100% sequence coverage was achieved for PMOs ranging from 18-mer to 25-mer. Additionally, the method was successfully applied to identifying positional isomers of n - 1 deletion impurities present in PMO drug substances.
{"title":"Sequencing of Phosphorodiamidate Morpholino Oligomers by Hydrophilic Interaction Chromatography Coupled to Tandem Mass Spectrometry.","authors":"Mingming Wang, Brian O'Day, Brian Michaels, Jurjus Jurayj, Bao Zhong Cai, Tao Wei","doi":"10.1021/jasms.4c00281","DOIUrl":"10.1021/jasms.4c00281","url":null,"abstract":"<p><p>Sequencing of phosphorodiamidate morpholino oligomers (PMOs) by hydrophilic interaction chromatography (HILIC) coupled to tandem mass spectrometry (MS/MS) is reported. The MS/MS analysis was performed using a quadrupole/time-of-flight (Q-ToF) mass analyzer and collision induced dissociation (CID) in negative ion mode. To improve MS sensitivity in negative ion mode, HILIC conditions, including the separation column, mobile phases, and MS parameters, were optimized. Using the developed HILIC-CID-MS/MS method, 100% sequence coverage was achieved for PMOs ranging from 18-mer to 25-mer. Additionally, the method was successfully applied to identifying positional isomers of <i>n</i> - 1 deletion impurities present in PMO drug substances.</p>","PeriodicalId":672,"journal":{"name":"Journal of the American Society for Mass Spectrometry","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142103242","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}