Literature DB >> 26065783

Determination of the strontium isotope ratio by ICP-MS ginseng as a tracer of regional origin.

Sung-Min Choi1, Hae-Suk Lee1, Gae-Ho Lee2, Jae-Kil Han3.   

Abstract

This study presents the inductively coupled plasma mass spectrometry (ICP-MS) as a method for tracing the regional origin of ginseng. The results of the analysis of 15 Korean ginsengs from three different regions and of 15 Chinese ginsengs from three different regions reveal that the Sr isotope ratios (87)Sr/(86)Sr of the ginsengs differed according to their origin. For pretreatment, the ginseng samples were dried, and were dissolved through microwave digestion, then were each made to amount to 6ml with 11.9M HCl. Rb was then separated from Sr to enable an interference-free measurement through cation exchange chromatography. Six millilitres of the ginseng sample were injected in the column, and 60ml of 11.9M HCl was passed through the column at a 1mlmin(-1) flow rate to separate Rb from Sr. After Rb was eluted completely, 60ml of 5.0M HCl was passed at a 1mlmin(-1) flow rate to collect Sr. In the Sr collection step, the first 10ml portion of 30ml eluate was discarded, and the next 10ml portion was taken and was diluted with de-ionized water at a ratio of 1:3, for analysis purposes. The results of the analysis of 30 ginseng samples revealed that the Chinese ginsengs have an (87)Sr/(86)Sr ratio range of 0.672-0.701, and the Korean ginsengs 0.705-0.714. The Korean ginsengs, therefore, have a higher (87)Sr/(86)Sr ratio range than the Chinese ginsengs. Of the Korean ginsengs, (87)Sr/(86)Sr ratio range of ginsengs from Punggi, Geumsan and Hongcheon are about 0.706-0.709, 0.705-0.706, and 0.710-0.714, respectively.
Copyright © 2007 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Ginseng; ICP-MS; Isotope ratio; Sr

Year:  2007        PMID: 26065783     DOI: 10.1016/j.foodchem.2007.11.079

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  2 in total

1.  Machine learning based on structural and FTIR spectroscopic datasets for seed autoclassification.

Authors:  Hanqiu Wang; Aybek Rehmetulla; Shanshan Guo; Xin Kong; Zhiwei Lü; Yu Guan; Cong Xu; Kaiser Sulaiman; Gongxiang Wei; Huiqiang Liu
Journal:  RSC Adv       Date:  2022-04-12       Impact factor: 3.361

2.  Sr isotope discrimination of multi species aquaculture productions at a worldwide scale and contribution of the water reservoir in Sr plant input.

Authors:  Emmanuel Delattre; Isabelle Techer; Benjamin Reneaud; Véronique Thireau; Patrick Verdoux; Philippe Prohin
Journal:  Heliyon       Date:  2019-12-26
  2 in total

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