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A Colorimetric Method for Measuring Iron Content in Plants.
Gitz, Jonas C; Sadot, Noy; Zaccai, Michele; Zarivach, Raz.
Afiliação
  • Gitz JC; Department of Life Sciences, Ben-Gurion University of the Negev; National Institute for Biotechnology in the Negev (NIBN); jonasgitz@protonmail.com.
  • Sadot N; Department of Life Sciences, Ben-Gurion University of the Negev.
  • Zaccai M; Department of Life Sciences, Ben-Gurion University of the Negev.
  • Zarivach R; Department of Life Sciences, Ben-Gurion University of the Negev; National Institute for Biotechnology in the Negev (NIBN).
J Vis Exp ; (139)2018 09 07.
Article em En | MEDLINE | ID: mdl-30247485
ABSTRACT
Iron, one of the most important micronutrients in living organisms, is involved in basic processes, such as respiration and photosynthesis. Iron content is rather low in all organisms, amounting in plants to about 0.009% of dry weight. To date, one of the most accurate methods for measuring iron concentration in plant tissues is flame absorption atomic spectroscopy. However, this approach is time-consuming and expensive and requires specific equipment not commonly found in plant laboratories. Therefore, a simpler, yet accurate method that can be routinely used is needed. The colorimetric Prussian Blue method is regularly used for qualitative iron staining in animal and plant histological sections. In this study, we adapted the Prussian Blue method for quantitative measurements of iron in tobacco leaves. We validated the accuracy of this method using both atomic spectroscopy and Prussian Blue staining to measure iron content in the same samples and found a linear regression (R2 = 0.988) between the two procedures. We conclude that the Prussian Blue method for quantitative iron measurement in plant tissues is precise, simple, and inexpensive. However, the linear regression presented here may not be appropriate for other plant species, due to potential interactions between the sample and the reagent. Establishment of a regression curve is thus needed for different plant species.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Plantas / Colorimetria / Ferro Tipo de estudo: Qualitative_research Idioma: En Revista: J Vis Exp Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Plantas / Colorimetria / Ferro Tipo de estudo: Qualitative_research Idioma: En Revista: J Vis Exp Ano de publicação: 2018 Tipo de documento: Article