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@ARTICLE{Silva:156909,
      author       = {F. L. F. Silva and G. O. Nascimento and G. S. Lopes and W.
                      O. Matos and R. L. Cunha and M. R. Malta and G. R. Liska and
                      R. Owen$^*$ and M. T. S. Trevisan},
      title        = {{T}he concentration of polyphenolic compounds and trace
                      elements in the {C}offea arabica leaves: {P}otential
                      chemometric pattern recognition of coffee leaf rust
                      resistance.},
      journal      = {Food research international},
      volume       = {134},
      issn         = {0963-9969},
      address      = {New York, NY [u.a.]},
      publisher    = {Elsevier},
      reportid     = {DKFZ-2020-01216},
      pages        = {109221 -},
      year         = {2020},
      abstract     = {Coffee (Coffea arabica L.) is an important commodity,
                      involving about 500 million people from the cultivation of
                      the coffee trees to final consumption of infusions of the
                      ground roasted coffee beans. In contrast to a considerable
                      amount of research performed on green coffee beans, there
                      are relatively few studies regarding the chemical
                      constituents of coffee leaves. Hemileia vastatrix is a
                      parasite, specific to coffee plants and causes coffee leaf
                      rust, which is a very destructive disease. Some coffee
                      plants have natural resistance which is mainly linked to a
                      gene and specific host resistance response. An increase in
                      flavonoid production may be related to fungal disease
                      resistance, with the levels and flavonoid types being an
                      early physiological response to rust infection. Trace
                      inorganic elements can be related to many roles in the
                      defense response of higher plants and can be used as a
                      biomarker for some diseases. To address this, coffee leaves
                      from 16 different cultivars of Coffea arabica were harvested
                      from Minas Gerais, Brazil (susceptible and resistant to
                      rust) and their polyphenolic compounds were extracted using
                      the QuEChERS technique and quantitated by HPLC-ESI-MS. The
                      same leaves were decomposed using an acid mixture in a block
                      digester and the content of Al, Cu, Mg, Mn, Ni, Sn and Zn
                      was quantitated by ICP-OES. Principal component analysis
                      (PCA) was applied and we could establish a relation between
                      polyphenolic and trace element concentration in the leaves
                      with resistance to rust infection. On this basis in this
                      preliminary study we were able to separate the resistant
                      from the susceptible cultivars. The main compounds
                      responsible for this differentiation were the content of
                      chlorogenic acid and magnesium in the leaves. The content of
                      polyphenolic compounds was lower in susceptible cultivars
                      and a diametric effect was observed between Mn and Mg
                      concentrations. This study shows potential for the
                      discrimination of resistant and susceptible coffee trees
                      based on the analyses of both trace element and polyphenolic
                      concentration.},
      cin          = {C120},
      ddc          = {660},
      cid          = {I:(DE-He78)C120-20160331},
      pnm          = {313 - Cancer risk factors and prevention (POF3-313)},
      pid          = {G:(DE-HGF)POF3-313},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:32517933},
      doi          = {10.1016/j.foodres.2020.109221},
      url          = {https://inrepo02.dkfz.de/record/156909},
}