Method validation of 16 types of structural amino acids using an automated amino acid analyzer

You Shin Shim, Won Jin Yoon, Jaeho Ha, Dongwon Seo, Kwang Won Lee, Woo Young Lee, Kwang Il Kwon, Tae Seok Kang, Jin Ha Lee, Hyun Jeong Kim, Hae Jung Kwak, Sam Pin Lee, So Jung Kim, Won Kap Yun, Junsoo Lee, Jin Bong Hwang

Research output: Contribution to journalArticlepeer-review

25 Citations (Scopus)


An analytical method for the simultaneous determination of 16 types of structural amino acids in infant formula using an automated amino acid analyzer was validated through tests of precision, accuracy and linearity. The automated analysis of the amino acids was performed on an ion-exchange packed column with a visible detector. The certificated reference material (CRM) 1546 from NIST was used as the test sample to determine the precision and accuracy of the analytical method. The regression analyses revealed good correlations [correlation coefficient (r 2)] that were greater than 0.99. The recovery values of the amino acids were ranged from 87.18 to 118.08%. The limits of detection and limits of quantification were less than 0.059 mg/100 g and less than 0.198 mg/100 g, respectively. The intra- and inter-day precisions were less than 14.62% in the CRM sample.

Original languageEnglish
Pages (from-to)1567-1571
Number of pages5
JournalFood Science and Biotechnology
Issue number6
Publication statusPublished - 2013 Dec

Bibliographical note

Funding Information:
Acknowledgments This research was supported by a grant (11602KFDA209) from Korea Food and Drug Administration in 2011.


  • amino acids
  • analytical method
  • automated amino acid analyzer
  • post column reaction
  • validation

ASJC Scopus subject areas

  • Biotechnology
  • Food Science
  • Applied Microbiology and Biotechnology


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