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Capillary electrophoretic profiling of in‐bone tryptic digests of proteins as a potential tool for the detection of inflammatory states in oral surgery

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61388963%3A_____%2F20%3A00532117" target="_blank" >RIV/61388963:_____/20:00532117 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11110/20:10417285 RIV/60461373:22340/20:43921485

  • Result on the web

    <a href="https://doi.org/10.1002/jssc.202000718" target="_blank" >https://doi.org/10.1002/jssc.202000718</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1002/jssc.202000718" target="_blank" >10.1002/jssc.202000718</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Capillary electrophoretic profiling of in‐bone tryptic digests of proteins as a potential tool for the detection of inflammatory states in oral surgery

  • Original language description

    The commonly used histological assessment of pathological states of alveolar bone tissues in oral surgery needs laborious and time‐consuming processing by an experienced histologist. Therefore, a simpler and faster methodology is required in this field. Following this demand, this paper reports a straightforward approach using the tryptic cleavage of proteins directly in bone without its demineralization, followed by the capillary electrophoresis‐ultraviolet detection profiling of the yielded protein digest. Cleavage‐derived peptides were separated by capillary electrophoresis in acidic background electrolytes, pH 2.01–2.54. The best resolution of peptide fragments with the highest peak capacity was achieved in the background electrolyte composed of 55 mM H3PO4, 14 mM tris(hydroxymethyl)aminomethan, pH 2.01. The differences in the obtained capillary electrophoresis‐ultraviolet detection profiles with characteristic patterns for particular bone samples were subsequently discriminated by linear discriminant analysis over principal components. This approach was first verified on porcine bone tissues as model samples, jawbone and calf bone tissues could be discriminated with an accuracy of 100%. Subsequently, the method was capable of differentiating unequivocally between human healthy and inflammatory alveolar bone tissues obtained from oral surgery. This procedure seems to be promising as complement or even an alternative to the traditional histological discrimination between healthy and inflammatory bone tissues in oral surgery.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10406 - Analytical chemistry

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Journal of Separation Science

  • ISSN

    1615-9306

  • e-ISSN

  • Volume of the periodical

    43

  • Issue of the periodical within the volume

    20

  • Country of publishing house

    DE - GERMANY

  • Number of pages

    11

  • Pages from-to

    3949-3959

  • UT code for WoS article

    000562972900001

  • EID of the result in the Scopus database

    2-s2.0-85089782415