|
|
|
|
|
|
| Application of XRF and ICP-MS in Elements Content Determinations of Tieguanyin of Anxi and Hua’an County, Fujian Province |
| GUO Xiao-hua1, ZHAO Peng1, WU Ya-qing1, TANG Xue-ping3, GENG Di2*, WENG Lian-jin2* |
1. Instrumental Analysis Center, Huaqiao University, Xiamen 361021, China
2. College of Chemical Engineering, Huaqiao University, Xiamen 361021, China
3. Xiamen Academy of Environmental Sciences, Xiamen 361021, China
|
|
|
|
|
Abstract Anxi is the origin of Tieguanyin, with hundreds of millions of gross output values yearly. However, the price of Tieguanyin with different quality is uneven, and the counterfeit and shoddy phenomenon exists in the market. Anxi County and Hua’an County in Fujian Province are the main tea producing areas of Tieguanyin. Although these two counties have a relatively high market share in tea-production and are geographically adjacent, the quality and flavor of tea are different, causing troubles for the tea market. Detecting the types and contents of microelements in Tieguanyin is of great significance in tracing its origin. In the study, standard less semi-quantitative X-ray fluorescence spectrometry (XRF) analysis and microwave digestion-inductively coupled plasma mass spectrometry (ICP-MS) is used to quantitative analyze the element contents of 30 Tieguanyin samples from Anxi (Gande, Xiping, Xianghua) and Hua’an (Liangcun, Huafeng, Xiandu) counties. The element types detected by XRF are K, Ca, S, P, Mg, Al, Si, Cl, Fe, Mn, Rb, Zn, Na, Sr,and there are certain differences in element content. For comparison, we use the ICP-MS method to detect the metallic elements found by XRF. According to the results of the XRF method, tea samples were diluted quickly and accurately for ICP-MS to meet the requirements of trace detection. When detecting Ca, Mg, Al, Fe, Mn and Zn metal elements, the correlation coefficient R2 of the XRF and ICP-MS methods is between 0.824 8 and 0.892 8, and the slope of the trend line is between 0.806 0 and 0.944 9, which shows good comparability. It shows that the XRF and ICP-MS methods are suitable for detecting these six elements. XRF and ICP-MS determined one Tieguanyin sample, the relative standard deviations were less than 6.0% and 3.0%, respectively. Compared with the ICP-MS method, the XRF method is simpler and less time-consuming in the pretreatment. Therefore, when low-cost, fast and easy detection of the content of Ca, Mg, Al, Fe, Mn and Zn in tea samples is required, the XRF detection method is preferred. K, Ca, Mg, Al, Fe, Mn, Rb, Zn, Na and Sr metal elements detected by ICP-MS were used for stepwise discriminant analysis, and the Fisher discriminant model was established to realize the recognition of Tieguanyin tea samples in Anxi County and Hua’an County. The discriminant rate of origin test, cross-validation and test samples established by the model was 96.7%, 96.7% and 100%, respectively. ICP-MS combined with stepwise discriminant analysis is feasible for Tieguanyin tea samples in Anxi County and Hua’an County.
|
|
Received: 2021-08-17
Accepted: 2021-11-25
|
|
|
|
Corresponding Authors:
GENG Di, WENG Lian-jin
E-mail: gengdi@hqu.edu.cn；ljweng6907@163.com
|
|
[1] Sun J W, Hu G R, Liu K K, et al. Environmental Geochemistry and Health, 2019, 41(3): 1291.
[2] Fang S M, Ning J M, Huang W J, et al. Journal of the Science of Food and Agriculture, 2019, 99(9): 4344.
[3] Meng W J, Xu X N, Cheng K K, et al. Food Analytical Methods, 2017, 10(11): 3508.
[4] Zhou P, Li Z Y, Ouyang L Q, et al. Analytical Methods, 2019, 11(3): 346.
[5] Ma G C, Zhang J Y, Zhang L, et al. Journal of Food Composition and Analysis, 2019, 82: 103246.
[6] Rajapaksha D, Waduge V, Padilla-Alvarez R, et al. X-Ray Spectrometry, 2017, 46(4): 220.
[7] MA Chong-xian, LIU Jie, LIU Wei(马冲先, 刘 洁, 刘 巍). Chinese Journal of Analysis Laboratory(分析试验室), 2019, 38(6): 732.
[8] FANG Ping, ZOU Wen, SHI Xian-xiao, et al(方 萍, 邹 雯, 史先肖, 等). Chinese Journal of Pharmaceutical Analysis(药物分析杂志), 2017, 37(7): 1280.
[9] YANG Chun, YAN Hong-fei, LÜ Xiao-yuan, et al(杨 纯, 颜鸿飞, 吕小园, 等). Food Science(食品科学), 2020, 41(16): 286.
[10] LIU Chang, YUAN Zhi-qian, XUE Li-dong, et al(刘 畅，苑芷茜，薛荔栋, 等). Environmental Science & Technology(环境科学与技术), 2018, 41(4): 66.
[11] CHEN Yu-e, SUN Yang-yang, ZHONG Hui-yi, et al(陈玉娥, 孙杨杨, 钟慧怡, 等). Chinese Journal of Pharmaceutical Analysis(药物分析杂志), 2020, 40(3): 562.
|
| [1] |
ZHANG Fei1, 5，HUA Xia2*，YUAN Jia-ying3，YOU Fan1，YE Ren-cai4，DING Li4, ZHAO Jian-mei4. Determination of Thallium in Blood of Occupational Exposed Population by Inductively Coupled Plasma Mass Spectrometry With High Matrix Introduction[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(09): 2870-2874. |
| [2] |
CHENG Can1, HEI Da-qian2*, JIA Wen-bao1, SHAN Qing1, LING Yong-sheng1, ZHAO Dong1. Study on Metallic Samples Determination Based on Prompt Gamma
Neutron Activation Analysis Technique[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1928-1933. |
| [3] |
LI Xue-ping1, 2, 3, ZENG Qiang1, 2, 3*. Development and Progress of Spectral Analysis in Coal Structure Research[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(02): 350-357. |
| [4] |
ZHANG Fei1，HUA Xia2，YOU Fan1，WANG Bin3，MAO Li3*. Determination of Thallium and Its Compounds in Workplace Air by Ultrasonic Extraction-Inductively Coupled Plasma Mass Spectrometry Using No Gas Mode[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(07): 2279-2283. |
| [5] |
ZHAO Ting1,2,3, CHI Hai-tao1,2,3*, LIU Yi-ren1,2,3, GAO Xia1,2,3, HUANG Zhao1,2,3, ZHANG Mei1,2,3, LI Qin-mei1,2,3. Determination of Elements in Health Food by X-Ray Fluorescence Microanalysis Combined With Inductively Coupled Plasma Mass Spectrometry[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(03): 750-754. |
| [6] |
LIU Juan1, LIU Yu-zhu2, CHU Chen-xi3, BU Ling-bing1*, ZHANG Yang4. In Situ Online Detection of Lignite and Soot by Laser-Induced Breakdown Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(03): 954-960. |
| [7] |
TONG Li-hong1, ZHU Ling2, ZHAO Nan3, LÜ Yi-zhong1*, LIU Xia-yan1, JIANG Shan1, LI Ying-xin1. Spectroscopic Characteristics of Soil Humus Components Under Different Proportions of Organic and Inorganic Fertilizers[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(02): 523-528. |
| [8] |
ZHOU An-li1, JIANG Jin-hua1, SUN Chun-xiao2, XU Xin-zhong2, LÜ Xin-ming1,2*. Identification of Different Origins of Hetian Jade Based on Statistical Methods of Multi-Element Content[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(10): 3174-3178. |
| [9] |
DING Peng-fei1, LIU Yu-zhu1, 2*, ZHANG Qi-hang1 , YAN Yi-hui1, YIN Wen-yi1, CHEN Yu1. In Situ Online Detection of Straw Burning Smoke via Laser-Induced Breakdown Spectroscopy Technique[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(10): 3292-3297. |
| [10] |
YUAN Xiao-xue, ZHOU Ding-you, LI Jie*, XU Xian-shun, YONG Li, HU Bin, LIU Tao*. Progress in the Analysis of Elements in PM2.5 by ICP-MS[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(08): 2373-2381. |
| [11] |
LI Ming1, 2, LI Yan-bing3, ZHANG Qiao-chu2, SHI Yu-tao2, CUI Fei-peng2, ZHAO Ying1, 2. Research on Spark Spectrum Signal Processing Based on Ensemble Empirical Mode Decomposition[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(06): 1923-1928. |
| [12] |
ZHONG Qi-xiu1, 2, 3, ZHAO Tian-zhuo1, 2, 3*, LI Xin1, 2, 3, LIAN Fu-qiang1, 3, XIAO Hong1, 3, NIE Shu-zhen1, 3, SUN Si-ning3, 4, FAN Zhong-wei1, 2, 3. Standardized Cross-Validation and Its Optimization for Multi-Element LIBS Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(02): 622-627. |
| [13] |
HOU Jia-jia1, ZHANG Lei1, 2*, ZHAO Yang1, YIN Wang-bao1, 2*, DONG Lei1, 2, MA Wei-guang1, 2, XIAO Lian-tuan1, 2, JIA Suo-tang1, 2. Investigation on Resonance and Non-Resonance Doublet Based Self-Absorption-Free LIBS Technique[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(01): 261-265. |
| [14] |
LIANG Piao-piao1, WANG Yi-run1, WANG Ru-ming1, FAN Li-yun1, CHEN Tian-tian1, BAI Ya-hong1, YU Qian-ru1, ZHOU Shan-shan1, LIU Ying1,2*. Level and Risk Assessment of Arsenic in Muti-Media near Mining Area in Yunnan by Using Inductively Coupled Plasma Mass Spectrometry[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39(03): 990-996. |
| [15] |
LIANG Piao-piao1, XING Yun-xin1, WEI Chun-li1, LI Yuan-yuan1, LIU Yi-ming1, HU Yu1, LIU Ying1,2*. Distribution and Assessment of Heavy Metals in the Overlying Water-Sediment-Plant-Fish System in the Wuliangsuhai Lake by Using Inductively Coupled Plasma Mass Spectrometry[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39(02): 652-658. |
|
|
|
|
