Determination of 4 psychoactive substances in tea using ultra high performance liquid chromatography combined with the quadrupole time-of-flight mass spectrometry

被引:1
作者
Li, Jian [1 ,3 ]
Ma, Junmei [2 ,4 ]
Zhang, Yan [2 ,4 ]
Zheng, Lei [1 ]
机构
[1] Hefei Univ Technol, Sch Food & Biol Engn, Hefei 230009, Peoples R China
[2] Hebei Med Univ, Coll Forens Med, Hebei Key Lab Forens Med, Shijiazhuang 050017, Peoples R China
[3] Beijing Union Univ, Coll Appl Arts & Sci, Beijing 100191, Peoples R China
[4] Hebei Food Inspect & Res Inst, Hebei Food Safety Key Lab, Shijiazhuang 050227, Peoples R China
关键词
GREEN TEA; CAFFEINE; EXTRACTION; CATECHINS; IDENTIFICATION; THEOPHYLLINE; OPTIMIZATION; THEOBROMINE; MS/MS;
D O I
10.1039/d0ay01535k
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
In this study, a method for the qualification and quantification of 4 psychoactive substances in tea using ultra high performance liquid chromatography coupled with the quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF/MS) has been developed. Tea samples were extracted by a 50% (v/v) methanol-water solution, and then separated by an ACQUITY UPLC BEH Shield RP18 column using a binary solvent system by gradient elution. The analytes were determined by Q-TOF/MS in TOFMS and information-dependent acquisition (IDA)-MS/MS mode. The results showed that the mass accuracy error of the 4 psychoactive substances were lower than 5.0 x 10(-6), and a good linear relationship was observed in the range of 0.5-500 mu g L(-1)and correlation coefficient was higher than 0.9990. The LOD was in the range of 0.005-0.020 mg kg(-1)and the LOQ was in the range of 0.010-0.040 mg kg(-1). The recovery of the method was in range of 80.14-93.25% with spike levels of 0.010-0.400 mg kg(-1), and relative standard deviations were lower than 10%. The method was simple, specific and reliable. It has been successfully used for the detection of 4 psychoactive substances in tea samples.
引用
收藏
页码:4878 / 4884
页数:7
相关论文
共 33 条
  • [21] On-line in-tube solid phase microextraction coupled to capillary liquid chromatography-diode array detection for the analysis of caffeine and its metabolites in small amounts of biological samples
    Ponce-Rodriguez, H. D.
    Garcia-Robles, A. A.
    Saenz-Gonzalez, P.
    Verdu-Andres, J.
    Campins-Falco, P.
    [J]. JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS, 2020, 178
  • [22] Rapid tea catechins and caffeine determination by HPLC using microwave-assisted extraction and silica monolithic column
    Rahim, A. A.
    Nofrizal, S.
    Saad, Bahruddin
    [J]. FOOD CHEMISTRY, 2014, 147 : 262 - 268
  • [23] Optimization of sequential supercritical fluid extraction (SFE) of caffeine and catechins from green tea
    Sokmen, Munevver
    Demir, Ezgi
    Alomar, Suliman Yousuf
    [J]. JOURNAL OF SUPERCRITICAL FLUIDS, 2018, 133 : 171 - 176
  • [24] Isolation of gallic acid, caffeine and flavonols from black tea by on-line coupling of pressurized liquid extraction with an adsorbent for the production of functional bakery products
    Souza, Mariana C.
    Santos, Mariana P.
    Sumere, Beatriz R.
    Silva, Laise C.
    Cunha, Diogo T.
    Martinez, Julian
    Barbero, Gerardo F.
    Rostagno, Mauricio A.
    [J]. LWT-FOOD SCIENCE AND TECHNOLOGY, 2020, 117
  • [25] Stander M., 2018, J FOOD COMPOS ANAL, P39
  • [26] Quality assessment of instant green tea using portable NIR spectrometer
    Sun, Yemei
    Wang, Yujie
    Huang, Jing
    Ren, Guangxin
    Ning, Jingming
    Deng, Weiwei
    Li, Luqing
    Zhang, Zhengzhu
    [J]. SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2020, 240
  • [27] Determination of nicotine in tea (Camellia sinensis) by LC-ESI-MS/MS using a modified QuEChERS method
    Thraene, Claudia
    Isemer, Claas
    Engelhardt, Ulrich H.
    [J]. EUROPEAN FOOD RESEARCH AND TECHNOLOGY, 2015, 241 (02) : 227 - 232
  • [28] Enhanced cross-category models for predicting the total polyphenols, caffeine and free amino acids contents in Chinese tea using NIR spectroscopy
    Wang, Jiahua
    Wang, Yifang
    Cheng, Jingjing
    Wang, Jun
    Sun, Xudong
    Sun, Shuang
    Zhang, Zhenya
    [J]. LWT-FOOD SCIENCE AND TECHNOLOGY, 2018, 96 : 90 - 97
  • [29] Wang L., 2019, J YUNNAN POLICE OFFI, V1, P19
  • [30] Wang L., 2019, QUAL ASSUR SAF CROP, V10, P7779