期刊
JOURNAL OF SEPARATION SCIENCE
卷 38, 期 12, 页码 2053-2058出版社
WILEY-V C H VERLAG GMBH
DOI: 10.1002/jssc.201500090
关键词
Amino acids; Chemometrics; Non-negative immune algorithm; Tobacco leaves
资金
- National Natural Science Foundation of China [21175074, 21475068]
A method was developed for quantifying 17 amino acids in tobacco leaves by using an A300 amino acid analyzer and chemometric resolution. In the method, amino acids were eluted by the buffer solution on an ion-exchange column. After reacting with ninhydrin, the derivatives of amino acids were detected by ultraviolet detection. Most amino acids are separated by the elution program. However, five peaks of the derivatives are still overlapping. A non-negative immune algorithm was employed to extract the profiles of the derivatives from the overlapping signals, and then peak areas were adopted for quantitative analysis of the amino acids. The method was validated by the determination of amino acids in tobacco leaves. The relative standard deviations (n = 5) are all less than 2.54% and the recoveries of the spiked samples are in a range of 94.62-108.21%. The feasibility of the method was proved by analyzing the 17 amino acids in 30 tobacco leaf samples.
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