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Amino Acid Profiling from Fingerprints Using Amide Stationary-Phase UPLC-MS

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Book cover Amino Acid Analysis

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2030))

Abstract

UPLC-MS is a commonly used technique to first separate complex samples and subsequently quantify molecules of interest. Herein we describe the use of UPLC-MS using an amide stationary phase to quantify non-derivatized amino acids extracted from fingerprints. As detector either a triple-quadrupole MS/MS or a TOF-MS detector was used. This method allows for a simple and fast sample preparation, which facilitates the analysis of large amounts of samples.

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References

  1. Delgado-Povedano MM, Calderon-Santiago M, Priego-Capote F, de Castro MDL (2016) Development of a method for enhancing metabolomics coverage of human sweat by gas chromatography-mass spectrometry in high resolution mode. Anal Chim Acta 905:115–125. https://doi.org/10.1016/j.aca.2015.11.048

    Article  CAS  PubMed  Google Scholar 

  2. Croxton RS, Baron MG, Butler D, Kent T, Sears VG (2010) Variation in amino acid and lipid composition of latent fingerprints. Forensic Sci Int 199(1–3):93–102. https://doi.org/10.1016/j.forsciint.2010.03.019

    Article  CAS  PubMed  Google Scholar 

  3. Croxton RS, Baron MG, Butler D, Kent T, Sears VG (2006) Development of a GC-MS method for the simultaneous analysis of latent fingerprint components. J Forensic Sci 51(6):1329–1333

    Article  CAS  Google Scholar 

  4. Ohtani S, Matsushima Y, Kobayashi Y, Kishi K (1998) Evaluation of aspartic acid racemization ratios in the human femur for age estimation. J Forensic Sci 43(5):949–953

    Article  CAS  Google Scholar 

  5. Huynh C, Brunelle E, Halámková L, Agudelo J, Halámek J (2015) Forensic identification of gender from fingerprints. Anal Chem 87(22):11531–11536

    Article  CAS  Google Scholar 

  6. Atherton T, Croxton R, Baron M, Gonzalez-Rodriguez J, Gamiz-Gracia L, Garcia-Campana AM (2012) Analysis of amino acids in latent fingerprint residue by capillary electrophoresis-mass spectrometry. J Sep Sci 35(21):2994–2999. https://doi.org/10.1002/jssc.201200398

    Article  CAS  PubMed  Google Scholar 

  7. de Puit M, Ismail M, Xu XM (2014) LCMS analysis of fingerprints, the amino acid profile of 20 donors. J Forensic Sci 59(2):364–370. https://doi.org/10.1111/1556-4029.12327

    Article  CAS  PubMed  Google Scholar 

  8. IFRG (2014) Guidelines for the assessment of fingermark detection techniques. J Forensic Identif 64(2):174–200

    Google Scholar 

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Acknowledgments

W. v. H. acknowledges a NWO research grant (no. 2014-01- 124PRO).

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Correspondence to Marcel de Puit .

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van Helmond, W., de Puit, M. (2019). Amino Acid Profiling from Fingerprints Using Amide Stationary-Phase UPLC-MS. In: Alterman, M. (eds) Amino Acid Analysis. Methods in Molecular Biology, vol 2030. Humana, New York, NY. https://doi.org/10.1007/978-1-4939-9639-1_33

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  • DOI: https://doi.org/10.1007/978-1-4939-9639-1_33

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  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-4939-9638-4

  • Online ISBN: 978-1-4939-9639-1

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