基于多种矿物元素的精河枸杞与中宁枸杞产地鉴别

doi:10.6048/j.issn.1001-4330.2022.03.017

新疆农业科学 ›› 2022, Vol. 59 ›› Issue (3): 674-682.DOI: 10.6048/j.issn.1001-4330.2022.03.017

• 植物保护·农产品分析检测 • 上一篇下一篇

基于多种矿物元素的精河枸杞与中宁枸杞产地鉴别

张瑞¹^,²(), 苟春林³, 王智², 乔坤云², 袁玉伟⁴, 聂晶⁴, 琚艳君², 赵多勇²()

1.新疆农业大学食品科学与药学学院,乌鲁木齐 830052
2.新疆农业科学院农业质量标准与检测技术研究所/农业农村部农产品质量安全风险评估实验室(乌鲁木齐)/新疆农产品质量安全重点实验室,乌鲁木齐 830091
3.宁夏农产品质量标准与检测技术研究所,银川 750002
4.浙江省农业科学院农产品质量标准研究所,杭州 310021

收稿日期:2021-08-15 出版日期:2022-03-20 发布日期:2022-03-28
通信作者: 赵多勇
作者简介:张瑞(1997-),女,吉林松原人,硕士研究生,研究方向为食品加工与安全,(E-mail) 1761262569@qq.com
基金资助:
新疆农业科学院农业科技创新平台能力提升建设专项(xnypt006);浙江省植物有害生物防控重点实验室开放基金项目(2010DS700124-KF1903);自治区天山雪松计划(2018XS15);自治区天山英才工程([2017]711)

Geographical Origin Discrimination of Jinghe Wolfberry and Zhongning Wolfberry Based on Multi Mineral Elements Analysis

ZHANG Rui¹^,²(), GOU Chunlin³, WANG Zhi², QIAO Kunyun², YUAN Yuwei⁴, NIE Jing⁴, JU Yanjun², ZHAO Duoyong²()

1. College of Food Science and Pharmacy, Xinjiang Agricultural University, Urumqi 830052, China
2 Institute of Quality Standards & Testing Technology for Agro-Products, Xinjiang Academy of Agricultural Sciences / Laboratory of Quality and Safety Risk Assessment for Agro-Products (Urumqi), MOARA/ Xinjiang Key Laboratory of Agro-Products Quality and Safety, Urumqi 830091, China
3 Institute of Quality Standard and Testing Technology For Agro-Products of Ningxia,Yinchuan 750002, China
4. Institute of Quality and Standard for Agro-Products, Zhejiang Academy of Agricultural Sciences,Hangzhou 310021, China

Received:2021-08-15 Online:2022-03-20 Published:2022-03-28
Correspondence author: ZHAO Duoyong
Supported by:
Construction Capacity of Agricultural Science and Technology Innovation Platform Sponsored by Xinjiang Academy of Agricultural Sciences(xnypt006);Zhejiang Province Plant Pest Control Key Laboratory Open Fund Project(2010DS700124-KF1903);Xinjiang Cedar Program Project(2018XS15);Tianshan Excellence Talent Project of Xinjiang([2017]711)

摘要/Abstract

摘要：

【目的】比较新疆精河枸杞与宁夏中宁枸杞矿物元素含量差异,分析基于多元素分析技术鉴别枸杞产地的可行性,研究精河枸杞和中宁枸杞矿物元素指纹特征差异。【方法】采用电感耦合等离子质谱(ICP-MS)测定来自新疆精河县与宁夏中宁县2个产地的102份枸杞样品中52种矿物元素的含量,结合方差分析和正交偏最小二乘法-判别分析(OPLS-DA)等多元统计分析方法进行产地鉴别。【结果】精河枸杞和中宁枸杞中有26种矿物元素存在显著性差异(P<0.05),其中精河枸杞Mg、Al、P、K、V、Cu、Zn、As、Se、Mo、Ag、Cd、Gd、Er、Pb和U等16种元素含量显著高于中宁枸杞,而中宁枸杞Na、Ca、Ni、Rb、Sr、Hf、Ir、Au、Tl和Th等10种元素含量显著高于精河枸杞。逐步判别分析筛选出U、Mo、K、Rb、Au、Ir、Hf、Cu、Tl、Zn、Ca、Th、Mg和Cd等14种元素为差异显著元素变量,基于上述14种差异元素建立的多元素产地判别模型,对精河枸杞和中宁枸杞产地判别的准确率分别为100%和98.08%。【结论】精河枸杞和中宁枸杞具有各自独特的矿物元素指纹特征,利用多种矿物元素可有效鉴别新疆精河枸杞和宁夏中宁枸杞。

关键词: 枸杞; 产地鉴别; 矿物元素; 指纹; OPLS-DA

Abstract:

【Objective】 This study aims to compare the differences of mineral elements content between Jinghe wolfberry and Zhongning wolfberry, and to explore the feasibility of identifying the geographical origin of wolfberry based on multiple mineral elements analysis technology, so as to clarify the differences of mineral element fingerprint characteristics between them. 【Methods】 The content of 52 mineral elements in 102 wolfberry samples from Jinghe County, Xinjiang and Zhongning County, Ningxia were determined by inductively coupled plasma mass spectrometry (ICP-MS), and the multiple statistical analysis methods including analysis of variance and orthogonal partial least squares method-discriminant analysis (OPLS-DA) were used for the geographical origin identification. 【Results】 There were significant differences in 26 mineral elements between Jinghe and Zhongning wolfberry (P<0.05). Among the 26 elements, the contents of 16 elements including Mg, Al, P, K, V, Cu, Zn, As, Se, Mo, Ag, Cd, Gd, Er, Pb, and U in Jinghe wolfberry were significantly higher than those in Zhongning, while the contents of 10 elements including Na, Ca, Ni, Rb, Sr, Hf, Ir, Au, Tl and Th in Zhongning were significantly higher than those in Jinghe. Through stepwise discriminant analysis, 14 elements including U, Mo, K, Rb, Au, Ir, Hf, Cu, Tl, Zn, Ca, Th, Mg and Cd were identified as significant element variables. 【Conclusion】 The multi-element discrimination model can be established based on the above 14 elements and the accuracy rates of the geographical origin discrimination of Jinghe and Zhongning wolfberry were 100% and 98.08%, respectively. Jinghe and Zhongning wolfberry have their own unique mineral element fingerprint characteristics, and the use of multiple mineral elements can effectively identify Xinjiang Jinghe wolfberry and Ningxia Zhongning wolfberry.

Key words: Chinese wolfberry; geographical origin identification; mineral element; fingerprint; OPLS-DA

中图分类号:

张瑞, 苟春林, 王智, 乔坤云, 袁玉伟, 聂晶, 琚艳君, 赵多勇. 基于多种矿物元素的精河枸杞与中宁枸杞产地鉴别[J]. 新疆农业科学, 2022, 59(3): 674-682.

ZHANG Rui, GOU Chunlin, WANG Zhi, QIAO Kunyun, YUAN Yuwei, NIE Jing, JU Yanjun, ZHAO Duoyong. Geographical Origin Discrimination of Jinghe Wolfberry and Zhongning Wolfberry Based on Multi Mineral Elements Analysis[J]. Xinjiang Agricultural Sciences, 2022, 59(3): 674-682.

图/表 8

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仪器名称 Name of instrument	型号 Model	生产厂家 Manufacturers
电感耦合等离子体质谱 ICP-MS	7700X	美国Agilent科技公司
微波消解仪 Microwave Digester	Mars240/50	美国CEM公司
超纯水仪 Ultra-pure water meter	Cascada III.I20	美国Pall公司
酸纯化仪 Acid Purification Instrument	DST-1000	美国Savillex公司
破壁机 Wall breaker	HR3868	荷兰Philips电子公司
电子天平 Electronic balance	XSE204	瑞士Mettler公司

仪器名称 Name of instrument	型号 Model	生产厂家 Manufacturers
电感耦合等离子体质谱 ICP-MS	7700X	美国Agilent科技公司
微波消解仪 Microwave Digester	Mars240/50	美国CEM公司
超纯水仪 Ultra-pure water meter	Cascada III.I20	美国Pall公司
酸纯化仪 Acid Purification Instrument	DST-1000	美国Savillex公司
破壁机 Wall breaker	HR3868	荷兰Philips电子公司
电子天平 Electronic balance	XSE204	瑞士Mettler公司

步骤 Steps		温度 Temperature (℃)	爬升时间 Climbing time (min)	保持时间 Maintain time (min)	功率 Power (W)
升温 Heat up	1	120	8	2	1 600
升温 Heat up	2	160	5	5	1 600
降温 Cooling	3	180	5	15	1 600
降温 Cooling	4	-	20	-	-

步骤 Steps		温度 Temperature (℃)	爬升时间 Climbing time (min)	保持时间 Maintain time (min)	功率 Power (W)
升温 Heat up	1	120	8	2	1 600
升温 Heat up	2	160	5	5	1 600
降温 Cooling	3	180	5	15	1 600
降温 Cooling	4	-	20	-	-

名称 Name	参数 Parameter	名称 Name	参数 Parameter
RF功率 RF power	1 350 W	雾化室温度 Temperature of atomizing chamber	2℃
采样深度 Sampling depth	7.5 mm	冷却气流速 Cooling gas velocity	15 L/min
辅助气流速 Auxiliary gas velocity	1.0 L/min	载气速度 Gas carrier velocity	1.14 L/min
氧化物指标 Oxide indicators	CeO+/Ce+<1.5%	双电荷指标 Double charge indicator	Ce₂+/Ce+<3%

基于多种矿物元素的精河枸杞与中宁枸杞产地鉴别

Geographical Origin Discrimination of Jinghe Wolfberry and Zhongning Wolfberry Based on Multi Mineral Elements Analysis

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参考文献 29

相关文章 15

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Metrics

序号 Num	元素 Elements	新疆精河县 Jinghe County, Xinjiang (n=50)	宁夏中宁县 Zhongning County, Ningxia (n=52)
序号 Num	元素 Elements	$\bar{X}±S$	X$\bar{X}±S$
1	B	2.04±0.45	1.99±0.30
2	Na^**	601.31±205.24	842.18±450.94
3	Mg^**	216.32±24.89	189.50±37.30
4	Al^**	3 338.44±1 074.98	2 713.58±817.92
5	P^**	561.45±73.54	504.86±91.12
6	K^**	4 188.94±358.23	3 358.26±438.15
7	Ca^**	180.83±44.81	225.77±56.05
8	V^**	8.70±3.20	6.94±2.41
9	Cr	67.51±84.59	51.94±25.51
10	Mn	1 870.07±240.73	1 750.91±431.99
11	Fe	13.01±4.04	12.36±4.89
12	Co	11.17±4.16	10.06±3.23
13	Ni^**	178.87±63.69	213.76±71.26
14	Cu^**	2 126.10±616.73	1 385.47±662.86
15	Zn^**	4 261.70±2 402.81	2 985.83±883.39
16	As^**	5.72±1.91	4.75±1.49
17	Se^*	18.48±20.08	11.66±4.86
18	Rb^**	222.22±112.29	493.28±353.98
序号 Num	元素 Elements	新疆精河县 Jinghe County, Xinjiang (n=50)	宁夏中宁县 Zhongning County, Ningxia (n=52)
序号 Num	元素 Elements	$\bar{X}±S$	$\bar{X}±S$
19	Sr^*	1 221.06±474.20	1 719.74±1 019.57
20	Mo^**	77.01±18.71	35.23±11.06
21	Pd	0.82±0.31	0.83±0.32
22	Ag^*	16.66±8.15	14.90±7.59
23	Cd^**	14.77±6.51	11.00±9.06
24	Sb	1.07±0.70	1.06±0.72
25	Cs	1.2±0.47	1.58±1.15
26	Ba	199.58±74.93	216.85±80.20
27	La	4.96±1.91	4.75±1.87
28	Ce	5.75±3.21	5.09±2.68
29	Pr	1±0.45	0.87±0.34
30	Nd	3.88±1.77	3.45±1.29
31	Sm	0.73±0.37	0.66±0.28
32	Eu	0.13±0.08	0.11±0.06
33	Gd^*	0.65±0.31	0.52±0.22
34	Dy	0.48±0.20	0.44±0.19
35	Ho	0.07±0.04	0.06±0.04
36	Er^**	0.19±0.11	0.13±0.09
37	Tm	0.03±0.02	0.03±0.02
38	Yb	0.25±0.10	0.22±0.08
39	Hf^**	1.26±0.44	1.96±0.70
40	Ir^**	0.11±0.07	0.20±0.10
41	Pt	0.08±0.05	0.08±0.05
42	Au^**	1.36±0.25	1.75±0.35
43	Tl^**	0.26±0.20	0.40±0.18
44	Pb^**	36.80±18.38	29.16±15.01
45	Th^**	3.01±7.88	5.91±12.13
46	U^**	1.76±0.42	0.71±0.22

地点 Location	样本量 Sample size	识别率 Recognition(%)	新疆精河县 Jinghe County, Xinjiang	宁夏中宁县 Zhongning County, Ningxia
新疆精河县 Jinghe County, Xinjiang	50	100%	50	0
宁夏中宁县 Zhongning County, Ningxia	52	98.08%	1	51

[1]	张雁飞, 苏比娜·肖克来提, 杨磊, 郝庆, 靳娟, 樊丁宇. 26个鲜食枣品种SSR指纹图谱构建与遗传多样性分析[J]. 新疆农业科学, 2023, 60(7): 1671-1678.
[2]	王如月, 罗莎莎, 王茹, 虎海防, 孙雅丽. 利用GC-IMS分析3个核桃品种叶片挥发性物质指纹差异[J]. 新疆农业科学, 2023, 60(11): 2764-2778.
[3]	吕亮雨, 樊光辉, 付全, 苏彩风, 李发毅. 生物有机肥对枸杞生长及土壤性状的影响[J]. 新疆农业科学, 2023, 60(11): 2779-2789.
[4]	毛红艳, 于明, 祖力皮牙·买买提. 微波消解-ICP-AES法测定新疆玉米矿物元素含量及主成分分析[J]. 新疆农业科学, 2022, 59(5): 1270-1276.
[5]	包慧芳, 王宁, 侯敏, 陈竞, 王小武, 侯新强, 杨蓉, 崔卫东, 杨文琦, 龙宣杞, 詹发强. 生物有机肥对枸杞产量、品质及土壤性状的影响[J]. 新疆农业科学, 2020, 57(3): 545-522.
[6]	王勇, 孙锋, 苏来曼·艾则孜, 李玉玲, 伍国红, 骆强伟, 郭平峰. 19个自育葡萄品种(系)指纹图谱构建[J]. 新疆农业科学, 2020, 57(12): 2238-2249.
[7]	王静静, 房芳, 周晓明, 伍新宇, 苏敏. 基于矿物元素含量的葡萄干产地溯源[J]. 新疆农业科学, 2020, 57(1): 69-77.
[8]	布卡·欧尔娜, 张文, 曾庆涛, 马丽娟, 逯涛, 蔡晓莉, 赵富强. 新疆主栽骨干棉花品种指纹图谱构建及纯度鉴定[J]. 新疆农业科学, 2019, 56(2): 207-215.
[9]	胡江兰, 朱金芳, 帕尔哈提·多力坤. 建立矮膜苞芹HPLC指纹图谱[J]. 新疆农业科学, 2019, 56(2): 308-316.
[10]	骆建敏,胡容博. 新疆精河枸杞中10种常量与微量元素含量及形态分析[J]. 新疆农业科学, 2018, 55(4): 703-711.
[11]	张彦红, 魏彦宏, 郑国保, 王新勇, 刘国宏, 张源沛, 李苗. 不同施肥量对枸杞生长、产量及外观品质的影响[J]. 新疆农业科学, 2018, 55(12): 2203-2211.
[12]	郑国保, 张彦红, 张源沛, 李苗, 魏彦宏. 不同灌水量对干旱区枸杞水分利用效率及产量和品质的影响[J]. 新疆农业科学, 2018, 55(12): 2212-2219.
[13]	齐延巧;孙静芳;赵世荣;李勇;王建友;王琴;廖康. 枸杞幼苗对NaCl和Na2CO3胁迫的生理响应[J]. , 2017, 54(4): 605-617.
[14]	顾美英, 唐光木, 冯雷, 孙宁川, 马海刚, 廖娜, 徐万里. 南疆野生黑果枸杞果实抗氧化成分与土壤理化性质、微生物特征的相关性[J]. 新疆农业科学, 2017, 54(10): 1930-1940.
[15]	韩宏伟;王建友;李勇;邱杰;刘凤兰;毛金梅;王琴. “精杞1号”枸杞夏秋鲜果营养成分与土壤肥力因子间关系研究[J]. , 2016, 53(4): 626-634.