Microwave digestion and inductively coupled plasma mass spectrometry (ICP-MS) were used to determine 44 trace elements in 180 Lycium barbarum L. samples from Ningxia and Qinghai provinces. Nine elements (Sb, La, Tb, Lu, Al, Sc, V, Cr and Se) with significant differences were selected for PCA by element content screening. The results showed that the first two main components could explain 64.2% of the variable, meanwhile the L. barbarum L. samples could be basically distinguished from Ningxia and Qinghai. Based on nine elements with significant differences, the discriminant models of L. barbarum L. from Ningxia and Qinghai were established by partial least squares discriminant analysis (PLS-DA) and back propagation artificial neural network (BP-ANN). In the PLS-DA model, when 100% L. barbarum L. samples were used, the sensitivity and specificity of the model were 100% and 97.5%, respectively. When 75% L. barbarum L. samples were used, the sensitivity and specificity of the model were 98.6% and 98.4%, respectively, and the accuracy of the model was 100% for predicting the remaining 25% L. barbarum L. samples. In the BP-ANN model, when 100% and 75% L. barbarum L. samples were used, the specificity and sensitivity of the model were both 100%. The accuracy of the model was 100% for predicting the remaining 25% L. barbarum L. samples. The sensitivity and specificity of BP-ANN model were better than PLS-DA model. The results showed that the determination of multiple elements in L. barbarum L. by ICP-MS combined with chemometrics could quickly identify L. barbarum L. from Ningxia and Qinghai.
LIAN Siyu
,
XIE Yujie
,
ZHANG Zijuan
,
FAN Chunlin
,
WANG Minglin
,
CHEN Hui
. Rapid discrimination of Lycium barbarum L. from Ningxia and Qinghaibased on multi-element analysis combined with chemometrics[J]. Food and Fermentation Industries, 2020
, 46(13)
: 250
-254
.
DOI: 10.13995/j.cnki.11-1802/ts.023771
[1] 刘莹玉.枸杞化学成分与生理作用的研究现状[J].农村经济与科技,2017,28(8):39;344.
[2] WANG Y, LIANG X, GUO S, et al. Evaluation of nutrients and related environmental factors for wolfberry (Lycium barbarum) fruits grown in the different areas of China[J]. Biochemical Systematics and Ecology, 2019, 86: 103 916.
[3] 魏雪松,王海洋,孙智轩,等.宁夏枸杞化学成分及其药理活性研究进展[J].中成药,2018,40(11):2 513-2 520.
[4] TANG W M, CHAN E, KWOK C Y, et al. A review of the anticancer and immunomodulatory effects of Lycium barbarum fruit[J]. Inflammopharmacology,2012,20(6): 307-314.
[5] GEORGIEV K D, SLAVOV I J, ILIEV I A. Synergistic growth inhibitory effects of Lycium barbarum (Goji berry) extract with doxorubicin against human breast cancer cells[J]. J Pharm Pharmacol Res, 2019, 3: 51-58.
[6] JIN M, HUANG Q, ZHAO K, et al. Biological activities and potential health benefit effects of polysaccharides isolated from Lycium barbarum L[J]. International Journal of Biological Macromolecules, 2013, 54: 16-23.
[7] CHUNG I M, KIM J K, LEE K J, et al. Geographic authentication of Asian rice (Oryza sativa L.) using multi-elemental and stable isotopic data combined with multivariate analysis[J]. Food chemistry, 2018, 240: 840-849.
[8] RASHMI D, SHREE P, SINGH D K. Stable isotope ratio analysis in determining the geographical traceability of Indian wheat[J]. Food Control, 2017, 79: 169-176.
[9] COZZOLINO D. Advances in food traceability techniques and technologies[M]. Woodhead Publishing: Elsevier Ltd, 2016.
[10] OTTAVIAN M, FACCO P, FASOLATO L, et al. Use of near-infrared spectroscopy for fast fraud detection in seafood: application to the authentication of wild European sea bass (Dicentrarchus labrax)[J]. Journal of Agricultural and Food Chemistry, 2012, 60(2): 639-648.
[11] 孙淑敏. 羊肉产地指纹图谱溯源技术研究[D].杨凌:西北农林科技大学,2012.
[12] 史岩,赵田田,陈海华,等.基于近红外光谱技术的鸡肉产地溯源[J].中国食品学报,2014,14(12):198-204.
[13] KIM J S, HWANG I M, LEE G H, et al. Geographical origin authentication of pork using multi-element and multivariate data analyses[J]. Meat Science,2017,123: 13-20.
[14] 黄丽英,范栋杰,张月星,等.元素含量及稳定同位素比值用于网销带鱼产地溯源[J].分析化学,2019,47(3):439-446.
[15] BRONZI B, BRILLI C, BEONE G M, et al. Geographical identification of Chianti red wine based on ICP-MS element composition[J].Food Chemistry,2020,315: 126 248.
[16] 张高强. 基于元素含量稻米产地溯源技术研究[D].南京:南京财经大学,2017.
[17] 陈秋生,张强,刘烨潼,等.矿质元素指纹技术在植源性特色农产品产地溯源中的应用研究进展[J].天津农业科学,2014,20(6):4-8.
[18] GAIAD J E, HIDALGO M J, VILLAFAÑE R N, et al. Tracing the geographical origin of Argentinean lemon juices based on trace element profiles using advanced chemometric techniques[J]. Microchemical Journal, 2016, 129: 243-248.
[19] ZHANG S, WEI Y, WEI S, et al. Authentication of Zhongning wolfberry with geographical indication by mineral profile[J].International Journal of Food Science & Technology,2017,52(2): 457-463.
[20] 曹丽萍,马秀花,肖明,等.青海地区枸杞子的综合开发与利用研究进展[J].食品工业科技,2019,40(23):349-353.
[21] LATORRE C H, CRECENTE R M P, MARTÍN S G, et al. A fast chemometric procedure based on NIR data for authentication of honey with protected geographical indication[J]. Food Chemistry, 2013, 141(4): 3 559-3 565.
