التفاصيل البيبلوغرافية
| العنوان: |
Rapid and interference-free analysis of nine B-group vitamins in energy drinks using trilinear component modeling of liquid chromatography-mass spectrometry data. |
| المؤلفون: |
Hu, Yong1, Wu, Hai-Long1 hlwu@hnu.edu.cn, Yin, Xiao-Li1, Gu, Hui-Wen1, Xiao, Rong1, Xie, Li-Xia1, Liu, Zhi1, Fang, Huan1, Wang, Li1, Yu, Ru-Qin1 |
| المصدر: |
Talanta. Apr2018, Vol. 180, p108-119. 12p. |
| مصطلحات موضوعية: |
*ENERGY drinks, *LIQUID chromatography-mass spectrometry, *CARBOHYDRATES, *ELECTROLYTES, *MICRONUTRIENTS, *CHEMOMETRICS |
| مستخلص: |
The aim of the present work was to develop a rapid and interference-free method based on liquid chromatography-mass spectrometry (LC-MS) for the simultaneous determination of nine B-group vitamins in various energy drinks. A smart and green strategy that modeled the three-way data array of LC-MS with second-order calibration methods based on alternating trilinear decomposition (ATLD) and alternating penalty trilinear decomposition (APTLD) algorithms was developed. By virtue of "mathematical separation" and "second-order advantage", the proposed strategy successfully solved the co-eluted peaks and unknown interferents in LC-MS analysis with the elution time less than 4.5 min and simple sample preparation. Satisfactory quantitative results were obtained by the ATLD-LC-MS and APTLD-LC-MS methods for the spiked recovery assays, with the average spiked recoveries ranging from 87.2–113.9% to 92.0–111.7%, respectively. These results acquired from the proposed methods were confirmed by the LC-MS/MS method, which shows a quite good consistency with each other. All these results demonstrated that the developed chemometrics-assisted LC-MS strategy had advantages of being rapid, green, accurate and low-cost, and it could be an attractive alternative for the determination of multiple vitamins in complex food matrices, which required no laborious sample preparation, tedious condition optimization or more sophisticated instrumentations. [ABSTRACT FROM AUTHOR] |
| قاعدة البيانات: |
Academic Search Index |
