52
Views
2
CrossRef citations to date
0
Altmetric
Papers

Analysis of constituents of metal elements and amino acids in new cultivar Citrusreticulata Blanco cv. Ougan fruit from China

, &
Pages 116-127 | Published online: 21 Sep 2009
 

Abstract

The aim of this research is to establish a new kind of simple and rapid method to determine amino acids and metal elements in Citrus reticulata Blanco cv. Ougan fruit. The high-performance liquid chromatography pre-column derivation method was used to test the contents of amino acids found in the cv. fruit. The results showed that there were 17 kinds of amino acids in the fruits of two different mature periods. They could be separated easily within 30 min. The correlation coefficients between the peak area of amino acid and the content of the amino acid were above 0.99. The sample-added recovery rate of amino acids was between 96.0% and 102.4%. Meanwhile, the microwave-aided dissolving procedure was adopted for dissolving of the cv. fruit to determine the 15 metal elements in the cv. fruit under the best conditions of flame atomic absorption spectrophotometry. The results showed that there were high contents of trace elements and amino acids in the fruit of two different ripening periods. The correlation coefficients between the peak areas of amino acids and the concentration of the elements are satisfactory. These results may provide us with the scientific evidence for further studies and the exploitation of C. reticulata Blanco cv. Ougan.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 910.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.