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Analytical Methods for Iron and Zinc Quantification in Plant Samples
Communications in Soil Science and Plant Analysis ( IF 1.3 ) Pub Date : 2021-01-14 , DOI: 10.1080/00103624.2021.1872608
Dinakaran Elango 1, 2 , Anand Kanatti 1 , Wanyan Wang 2 , Akoijam Ranjita Devi 3 , Mahendran Ramachandran 3 , Akhila Jabeen 3
Affiliation  

ABSTRACT

Enriching the micronutrient content of staple crops via biofortification provides a sustainable solution to iron (Fe) and zinc (Zn) deficiency in food. Analytical techniques such as colorimetry, atomic absorption spectrophotometry (AAS), inductively coupled plasma optical emission spectroscopy (ICP-OES), and advanced nondestructive estimation methods like X-ray fluorescence spectroscopy (XRF) are being used widely for micronutrient analysis in plant samples. Compared to other available techniques, XRF is an efficient and economical tool for screening a large number of genotypes or breeding materials in biofortification programs. XRF probably replaces ICP-OES, AAS, and colorimetric methods in the large-scale screening steps for selecting a greater number of lines and helps in the quick identification of the desired genome. The aim of this review is to provide an overview of routinely used analytical techniques, and their working principles and applications in quantifying Fe and Zn contents in plant samples.



中文翻译:

植物样品中铁和锌定量的分析方法

摘要

通过生物强化来丰富主食作物的微量营养素含量,为解决食品中铁(Fe)和锌(Zn)缺乏提供了可持续的解决方案。比色法,原子吸收分光光度法(AAS),电感耦合等离子体发射光谱(ICP-OES)等分析技术以及X射线荧光光谱(XRF)等先进的非破坏性估算方法已广泛用于植物样品中的微量营养素分析。与其他可用技术相比,XRF是一种在生物强化计划中筛选大量基因型或育种材料的有效且经济的工具。XRF可能会在大规模筛选步骤中取代ICP-OES,AAS和比色法,以选择更多的品系,并有助于快速鉴定所需的基因组。

更新日期:2021-01-14
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