1 Ocak 2020 Dergi makalesi Açık Erişim

Kepenek, Eda Seyma; Severcan, Mete; Gozen, Ayse Gul; Severcan, Feride

DataCite XML

<?xml version='1.0' encoding='utf-8'?>
<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd">
  <identifier identifierType="URL">https://aperta.ulakbim.gov.tr/record/8021</identifier>
  <creators>
    <creator>
      <creatorName>Kepenek, Eda Seyma</creatorName>
      <givenName>Eda Seyma</givenName>
      <familyName>Kepenek</familyName>
      <affiliation>Middle East Tech Univ, Dept Biol Sci, TR-06800 Ankara, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Severcan, Mete</creatorName>
      <givenName>Mete</givenName>
      <familyName>Severcan</familyName>
      <affiliation>Altinbas Univ, Sch Engn &amp; Nat Sci, Dept Elect &amp; Elect Engn, Istanbul, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Gozen, Ayse Gul</creatorName>
      <givenName>Ayse Gul</givenName>
      <familyName>Gozen</familyName>
      <affiliation>Middle East Tech Univ, Dept Biol Sci, TR-06800 Ankara, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Severcan, Feride</creatorName>
      <givenName>Feride</givenName>
      <familyName>Severcan</familyName>
    </creator>
  </creators>
  <titles>
    <title>Discrimination Of Heavy Metal Acclimated Environmental Strains By Chemometric Analysis Of Ftir Spectra</title>
  </titles>
  <publisher>Aperta</publisher>
  <publicationYear>2020</publicationYear>
  <dates>
    <date dateType="Issued">2020-01-01</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Journal article</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://aperta.ulakbim.gov.tr/record/8021</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1016/j.ecoenv.2020.110953</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="http://www.opendefinition.org/licenses/cc-by">Creative Commons Attribution</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">Heavy metal acclimated bacteria are profoundly the preferred choice for bioremediation studies. Bacteria get acclimated to toxic concentrations of heavy metals by induction of specific enzymes and genetic selection favoring new metabolic abilities leading to activation of one or several of resistance mechanisms creating bacterial populations with differences in resistance profile and/or level. Therefore, to use in bioremediation processes, it is important to discriminate acclimated bacterial populations and choose a more resistant strain. In this study, we discriminated heavy metal acclimated bacteria by using Attenuated Total Reflectance Fourier Transform Infrared (ATR-FTIR) spectroscopy and multivariate analysis methods namely Hierarchical Cluster Analysis (HCA), Principal Component Analysis (PCA) and Soft Independent Modeling of Class Analogy (SIMCA). Two acclimation methods, acute and gradual, were used which cause differences in molecular changes resulting in bacterial populations with different molecular and resistance profiles. Brevundimonas sp., Gordonia sp., and Microbacterium oxydans were exposed to the toxic concentrations of Cd (30 mu g/ml) or Pb (90 mu g/ml) by using broth medium as a growth media. Our results revealed that PCA and HCA clearly discriminated the acute-acclimated, gradual acclimated, and control bacteria from each other in protein, carbohydrate, and whole spectral regions. Furthermore, we classified acclimated (acute and gradual) and control bacteria more accurately by using SIMCA with 99.9% confidence. This study demonstrated that heavy metal acclimated and control group bacteria can be discriminated by using chemometric analysis of FTIR spectra in a powerful, cost-effective, and handy way. In addition to the determination of the most appropriate acclimation procedure, this approach can be used in the detection of the most resistant bacterial strains to be used in bioremediation studies.</description>
  </descriptions>
</resource>