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Zhai Y, Fu X, Xu W. Miniature mass spectrometers and their potential for clinical point-of-care analysis. MASS SPECTROMETRY REVIEWS 2024; 43:1172-1191. [PMID: 37610153 DOI: 10.1002/mas.21867] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/27/2023] [Revised: 08/04/2023] [Accepted: 08/11/2023] [Indexed: 08/24/2023]
Abstract
Mass spectrometry (MS) has become a powerful technique for clinical applications with high sensitivity and specificity. Different from conventional MS diagnosis in laboratory, point-of-care (POC) analyses in clinics require mass spectrometers and analytical procedures to be friendly for novice users and applicable for on-site clinical diagnosis. The recent decades have seen the progress in the development of miniature mass spectrometers, providing a promising solution for clinical POC applications. In this review, we report recent advances of miniature mass spectrometers and their exploration in clinical applications, mainly including the rapid analysis of illegal drugs, on-site monitoring of therapeutic drugs, and detection of biomarkers. With improved analytical performance, miniature mass spectrometers are also expected to apply to more and more clinical applications. Some promising POC analyses that can be performed by miniature mass spectrometers in the future are discussed. Lastly, we also provide our perspectives on the challenges in technical development of miniature mass spectrometers for clinical POC analysis.
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Affiliation(s)
- Yanbing Zhai
- School of Medical Technology, Beijing Institute of Technology, Beijing, China
| | - Xinyan Fu
- School of Medical Technology, Beijing Institute of Technology, Beijing, China
| | - Wei Xu
- School of Medical Technology, Beijing Institute of Technology, Beijing, China
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2
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Pereira I, Sboto JNS, Robinson JL, Gill CG. Paper spray mass spectrometry combined with machine learning as a rapid diagnostic for chronic kidney disease. Analyst 2024; 149:2600-2608. [PMID: 38529879 DOI: 10.1039/d4an00099d] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/27/2024]
Abstract
A new analytical method for chronic kidney disease (CKD) detection utilizing paper spray mass spectrometry (PS-MS) combined with machine learning is presented. The analytical protocol is rapid and simple, based on metabolic profile alterations in urine. Anonymized raw urine samples were deposited (10 μL each) onto pointed PS-MS sample strips. Without waiting for the sample to dry, 75 μL of acetonitrile and high voltage were applied to the strips, using high resolution mass spectrometry measurement (15 s per sample) with polarity switching to detect a wide range of metabolites. Random forest machine learning was used to classify the resulting data. The diagnostic performance for the potential diagnosis of CKD was evaluated for accuracy, sensitivity, and specificity, achieving results >96% for the training data and >91% for validation and test data sets. Metabolites selected by the classification model as up- or down-regulated in healthy or CKD samples were tentatively identified and in agreement with previously reported literature. The potential utilization of this approach to discriminate albuminuria categories (normo, micro, and macroalbuminuria) was also demonstrated. This study indicates that PS-MS combined with machine learning has the potential to be used as a rapid and simple diagnostic tool for CKD.
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Affiliation(s)
- Igor Pereira
- Applied Environmental Research Laboratories (AERL), Chemistry Department, Vancouver Island University, 900 Fifth Street, Nanaimo, BC, V9R 5S5, Canada.
| | - Jindar N S Sboto
- Applied Environmental Research Laboratories (AERL), Chemistry Department, Vancouver Island University, 900 Fifth Street, Nanaimo, BC, V9R 5S5, Canada.
| | | | - Chris G Gill
- Applied Environmental Research Laboratories (AERL), Chemistry Department, Vancouver Island University, 900 Fifth Street, Nanaimo, BC, V9R 5S5, Canada.
- Chemistry Department, University of Victoria, Victoria, BC, V8P 5C2, Canada
- Chemistry Department, Simon Fraser University, Burnaby, BC, V5A 1S6, Canada
- Department of Occupational and Environmental Health Sciences, University of Washington, Seattle, WA, 98195-1618, USA
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3
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Pagani AP, Camargo G, Ibañez GA, Olivieri AC, Pomerantsev AL, Rodionova OY. Data-Driven Version of Multiway Soft Independent Modeling of Class Analogy (N-Way DD-SIMCA): Theory and Application. Anal Chem 2024; 96:4845-4853. [PMID: 38471059 DOI: 10.1021/acs.analchem.3c05096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/14/2024]
Abstract
One-class classification (OCC) is discussed in the framework of the measurement and processing of multiway data. Data-driven soft independent modeling of class analogy (DD-SIMCA) is applied in the following formats: (1) multiblock and (2) Tucker 3 N-way SIMCA, which are shown to be useful tools for solving classification tasks. A new decision rule for N-way DD-SIMCA is adopted based on the conventional two-way DD-SIMCA model. Multiblock SIMCA is shown to be useful for variable selection, and Tucker 3 SIMCA to select the optimal model complexity when applying multiway data decomposition and to assess the role of individual samples in the classification model. Both approaches, together with the two-way DD-SIMCA version applied to the unfolded data, are compared regarding the analysis of an experimental data set including genuine and adulterated blueberry extract samples. The latter were employed to produce matrix spectral-time data matrices per sample within a flow injection system, taking advantage of the spectral changes in the sample constituents as a function of the pH of the carrier phase. The need to employ the Tucker 3 model instead of a trilinear decomposition is supported by a discussion on the lack of the trilinearity property of the studied data.
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Affiliation(s)
- Ariana P Pagani
- Departamento de Química Analítica, Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Suipacha 531, 2000 Rosario, Argentina
- Instituto de Química Rosario (CONICET-UNR), 27 de Febrero 210 Bis, 2000 Rosario, Argentina
| | - Gonzalo Camargo
- Departamento de Química Analítica, Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Suipacha 531, 2000 Rosario, Argentina
- Instituto de Química Rosario (CONICET-UNR), 27 de Febrero 210 Bis, 2000 Rosario, Argentina
| | - Gabriela A Ibañez
- Departamento de Química Analítica, Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Suipacha 531, 2000 Rosario, Argentina
- Instituto de Química Rosario (CONICET-UNR), 27 de Febrero 210 Bis, 2000 Rosario, Argentina
| | - Alejandro C Olivieri
- Departamento de Química Analítica, Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Suipacha 531, 2000 Rosario, Argentina
- Instituto de Química Rosario (CONICET-UNR), 27 de Febrero 210 Bis, 2000 Rosario, Argentina
| | - Alexey L Pomerantsev
- Federal Research Center for Chemical Physics RAS, Kosygin St. 4, 119991 Moscow, Russia
| | - Oxana Ye Rodionova
- Federal Research Center for Chemical Physics RAS, Kosygin St. 4, 119991 Moscow, Russia
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Rankin‐Turner S, Sears P, Heaney LM. Applications of ambient ionization mass spectrometry in 2022: An annual review. ANALYTICAL SCIENCE ADVANCES 2023; 4:133-153. [PMID: 38716065 PMCID: PMC10989672 DOI: 10.1002/ansa.202300004] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Revised: 04/16/2023] [Accepted: 04/17/2023] [Indexed: 06/28/2024]
Abstract
The development of ambient ionization mass spectrometry (AIMS) has transformed analytical science, providing the means of performing rapid analysis of samples in their native state, both in and out of the laboratory. The capacity to eliminate sample preparation and pre-MS separation techniques, leading to true real-time analysis, has led to AIMS naturally gaining a broad interest across the scientific community. Since the introduction of the first AIMS techniques in the mid-2000s, the field has exploded with dozens of novel ion sources, an array of intriguing applications, and an evident growing interest across diverse areas of study. As the field continues to surge forward each year, ambient ionization techniques are increasingly becoming commonplace in laboratories around the world. This annual review provides an overview of AIMS techniques and applications throughout 2022, with a specific focus on some of the major fields of research, including forensic science, disease diagnostics, pharmaceuticals and food sciences. New techniques and methods are introduced, demonstrating the unwavering drive of the analytical community to further advance this exciting field and push the boundaries of what analytical chemistry can achieve.
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Affiliation(s)
- Stephanie Rankin‐Turner
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public HealthJohns Hopkins UniversityBaltimoreMarylandUSA
| | - Patrick Sears
- School of Chemistry and Chemical EngineeringUniversity of SurreyGuildfordUK
| | - Liam M Heaney
- School of Sport, Exercise and Health SciencesLoughborough UniversityLoughboroughUK
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Pereira I, Monaghan J, Abruzzi LR, Gill CG. PAMAM-Functionalized Paper as a New Substrate for the Paper Spray Mass Spectrometry Measurement of Proteins. Anal Chem 2023; 95:7134-7141. [PMID: 37115227 DOI: 10.1021/acs.analchem.2c05316] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/29/2023]
Abstract
Paper surface functionalization with polyamidoamine (PAMAM) dendrimers has been developed for increased sensitivity analysis of proteins by paper spray mass spectrometry (PS-MS). PAMAM is a branched polymeric compound with an ethylenediamine core linked to repeating PAMAM units that generates an outer surface rich in primary amines. These positively charged amine groups can interact electrostatically with negatively charged residues (e.g., aspartate, glutamate) on the protein surface. PAMAM inner amide moieties can also promote hydrogen bonding with protein surface oxygens, making PAMAM a useful material for protein extraction. PAMAM-functionalized PS-MS paper strips were used to extract proteins from biofluids, dipped in acetonitrile to remove unbound constituents, dried, and then measured with PS-MS. The use of this strategy was optimized and compared with unmodified paper strips. PAMAM-functionalized paper substrates provided sixfold greater sensitivity for albumin, 11-fold for hemoglobin, sevenfold for insulin, and twofold for lysozyme. The analytical performance of the functionalized paper substrate was evaluated through the analysis of albumin in urine, achieving linearity with R2 > 0.99, LOD of 1.1 μg mL-1, LOQ of 3.8 μg mL-1, precision better than 10%, and relative recovery 70-83%. The method was applied to quantify urinary albumin from nine anonymous patient samples (concentrations ranged from 6.5 to 77.4 μg mL-1), illustrating its potential for the diagnosis of microalbuminuria. These data demonstrate the utility of paper modification with the PAMAM dendrimer for sensitive PS-MS analysis of proteins, opening a path for further applications in clinical diagnosis through the analysis of disease-related proteins.
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Affiliation(s)
- Igor Pereira
- Applied Environmental Research Laboratories (AERL), Chemistry Department, Vancouver Island University, Nanaimo, British Columbia V9R 5S5, Canada
| | - Joseph Monaghan
- Applied Environmental Research Laboratories (AERL), Chemistry Department, Vancouver Island University, Nanaimo, British Columbia V9R 5S5, Canada
- Chemistry Department, University of Victoria, Victoria, British Columbia V8P 5C2, Canada
| | - Lucas R Abruzzi
- Applied Environmental Research Laboratories (AERL), Chemistry Department, Vancouver Island University, Nanaimo, British Columbia V9R 5S5, Canada
- Chemistry Department, University of Victoria, Victoria, British Columbia V8P 5C2, Canada
| | - Chris G Gill
- Applied Environmental Research Laboratories (AERL), Chemistry Department, Vancouver Island University, Nanaimo, British Columbia V9R 5S5, Canada
- Chemistry Department, University of Victoria, Victoria, British Columbia V8P 5C2, Canada
- Chemistry Department, Simon Fraser University, Burnaby, British Columbia V5A 1S6, Canada
- Department of Occupational and Environmental Health Sciences, University of Washington, Seattle, Washington 98195-1618, United States
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Expanding the DD-SIMCA concept: A case study of precision medicine. Anal Chim Acta 2023; 1250:340958. [PMID: 36898816 DOI: 10.1016/j.aca.2023.340958] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 01/29/2023] [Accepted: 02/08/2023] [Indexed: 02/12/2023]
Abstract
It is proposed to use DD-SIMCA method, and, particularly, Full Distancse (FD) as an analytical signal that characterizes each sample in the frame of a classification task. The approach is demonstrated using medical data. FD values help to assess the proximity of each patient to the target class of the control (healthy) subjects. Furthermore, the FD values are used as a response in the PLS model, which predicts the distance of the subject (object) to the target class after a certain treatment and, therefore, the probability of recovery for each person. This enables the application of the personalized medicine. The proposed approach can be used not only in medicine, but also in other fields, e.g., restoration work to preserve and restore cultural heritage sites.
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Lin Q, Sun J, Wang Y, Ye M, Cheng H. Rapid determination of aldehydes in food by high-throughput reactive paper spray ionization mass spectrometry. J Food Compost Anal 2022. [DOI: 10.1016/j.jfca.2022.104814] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
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Frey BS, Heiss DR, Badu-Tawiah AK. Embossed Paper Platform for Whole Blood Collection, Room Temperature Storage, and Direct Analysis by Pinhole Paper Spray Mass Spectrometry. Anal Chem 2022; 94:4417-4425. [PMID: 35226803 DOI: 10.1021/acs.analchem.1c05340] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
Dry-state microsampling techniques are convenient and advantageous for sample collection in resource-limited settings, including healthcare systems designed for the underserved population. In this work, a microsampling platform based on an embossed hydrophobic paper substrate is introduced together with three-dimensional (3D) printed cartridges that offer opportunities for rapid (<30 min) drying of the collected samples while also preserving sample integrity when the embossed paper chip is shipped at room temperature. More importantly, a new pinhole paper spray ionization method was developed that facilitates direct mass spectrometry (MS) analysis of the dried blood samples without prior sample preparation. We compared the direct pinhole paper spray MS method with a liquid chromatographic (LC) MS approach that relied upon electrospray ionization (ESI) after analytes present in the blood sample were extracted through liquid-liquid extraction. Limits of detection as low as 0.12 and 0.49 ng/mL were calculated for cocaine and its metabolite benzoylecgonine, respectively, when using the direct pinhole paper spray MS method. Analytical merits such as precision and accuracy, recovery, carryover effects, and analyte stability were all quantified for this new paper spray method and compared to the traditional LC-ESI-MS. Although LC-ESI-MS was observed to be 10× more sensitive, the linear dynamic range for both methods was determined to be the same, in the range of 1-500 ng/mL for both cocaine and benzoylecgonine analytes. When fully developed, the current microsampling strategy could offer an easy-to-use kit that can enable a more effective MS analysis of 20 μL dried blood samples delivered by mail. Both sensitivity (10×) and sample stability are found to be more superior for blood prepared in the embossed hydrophobic paper compared to samples prepared in the planar hydrophilic paper.
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Affiliation(s)
- Benjamin S Frey
- Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio 43210, United States
| | - Derik R Heiss
- Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio 43210, United States
| | - Abraham K Badu-Tawiah
- Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio 43210, United States
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