Corrigendum to “UPLC analysis of free amino acids in wines: Profiling of on-lees aged wines” [J. Chromatogr. B 879 (2011) 1361–1366]

Fiechter, Gregor; Pavelescu, D.; Mayer, Hans

doi:10.1016/j.jchromb.2012.09.008

Cited by 4 publications

(4 citation statements)

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“…On the other hand, comparing with some recently reported UPLC [23], even UPLC-MS/MS [1,2] methods, our newly developed RRLC method facilitated rapid and satisfactory separations of 23 amino acids within 10 min only. Analysis time was significantly reduced.…”

Section: Efficient Separation Of Amino Acids By Rrlcmentioning

confidence: 76%

Rapid resolution liquid chromatography (RRLC) analysis of amino acids using pre-column derivatization

Zhang

Zhao

Cheng

et al. 2012

Journal of Chromatography B

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Section: Efficient Separation Of Amino Acids By Rrlcmentioning

confidence: 76%

Rapid resolution liquid chromatography (RRLC) analysis of amino acids using pre-column derivatization

Zhang

Zhao

Cheng

et al. 2012

Journal of Chromatography B

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“…There are numerous methods for AAs analysis by HPLC that can be generally divided into approaches with chemical derivatization and methods of underivatized analysis. However, the methods with chemical derivatization suffer from extensive sample preparations as well as long analytical run time . With the development of highly selective and sensitive MS technology, LC–MS/MS has become an acceptable method for the direct analysis of AAs .…”

Section: Introductionmentioning

confidence: 99%

Hydrophilic interaction liquid chromatography coupled with tandem mass spectrometry method for the simultaneous determination of l -valine, l -l eucine, l -isoleucine, l -phenylalanine, and l -tyrosine in human serum

et al. 2015

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l-Valine, l-leucine, l-isoleucine, l-phenylalanine, and l-tyrosine are important proposed biomarkers for the early detection and diagnosis of type 2 diabetes. A simple and selective hydrophilic interaction chromatography with tandem mass spectrometry method was developed for the simultaneous determination of these amino acids in human serum, using stable isotope-labeled amino acids as internal standards. Chromatographic separation was carried out on a Syncronis HILIC column (150 mm × 2.1 mm, 5 μm) with the column temperature of 35°C and a mobile phase consisted of acetonitrile/120 mM ammonium acetate (89:11, v/v), and the run time was 11.0 min. The mass spectrometric analysis was performed using a QTRAP 5500 mass spectrometer coupled with an electrospray ionization source in positive ion mode. As these five amino acids are endogenous compounds in serum, we used the corresponding stable isotope-labeled amino acids to evaluate the matrix effect and recovery in serum. The matrix effect was 98.7-107.3%, and the recovery was 92.7-102.3%. Calibration curves spiked unlabeled amino acids in water were linear over the range of 0.200-100 μg/mL. The accuracy, inter-, and intraday precision were below 10.2%. Analytes were stable during the study. This assay method has been validated and applied to the early diagnosis research of type 2 diabetes.

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“…Fluorescence derivatization reagents, such as o-phthalaldehyde, 14,15 6-aminoquinolyl-N-hydroxysuccinimidyl carbamate (AQC), [16][17][18] fluorescein isothiocyanate, 19,20 dansyl chloride, 21,22 and 4-fluoro-7-nitrobenzofurazan, 23,24 are commercially available for the metabolomic analysis of amino acids. For a comprehensive analysis of amino acids, high sensitivity of the detection system and good chemical stability of derivatives are required.…”

Section: Introductionmentioning

confidence: 99%

Assessment of the Efficacy of Anticancer Drugs by Amino Acid Metabolomics Using Fluorescence Derivatization-HPLC

et al. 2014

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Metabolomic studies conducted for evaluating cancer pathogenesis and progression by monitoring the amino acids metabolic balance hold great promise for assessing current and future anticancer treatments. We performed a comprehensive quantification of 21 amino acids concentrations in cultured human colorectal adenocarcinoma cells treated with the anticancer drugs 5-fluorouracil, irinotecan, and cisplatin. A precolumn fluorescence derivatization-HPLC method involving 6-aminoquinolyl-N-hydroxysuccinimidyl carbamate was used. Amino acid concentration data were analyzed by principal-component analysis and partial least-squares multivariate statistical methods to represent samples on two-dimensional graphs. The hierarchical cluster analysis and linear discriminant analysis were used to classify the samples on the score plots. Unlike the cluster analysis approach, the linear discrimination analysis classification successfully distinguished anticancer drug-treated samples from the untreated controls. Moreover, three candidate amino acids (serine, aspartic acid, and methionine) were identified from the loading plots as potential biomarkers. Our proposed method might be able to evaluate the effectiveness of anticancer therapy even in small laboratories or medical institutions.

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Corrigendum to “UPLC analysis of free amino acids in wines: Profiling of on-lees aged wines” [J. Chromatogr. B 879 (2011) 1361–1366]

Cited by 4 publications

References 0 publications

Rapid resolution liquid chromatography (RRLC) analysis of amino acids using pre-column derivatization

Rapid resolution liquid chromatography (RRLC) analysis of amino acids using pre-column derivatization

Hydrophilic interaction liquid chromatography coupled with tandem mass spectrometry method for the simultaneous determination of l -valine, l -l eucine, l -isoleucine, l -phenylalanine, and l -tyrosine in human serum

Assessment of the Efficacy of Anticancer Drugs by Amino Acid Metabolomics Using Fluorescence Derivatization-HPLC

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