改良QuEChERS方法结合气相色谱测定红甜菜中20种农药残留

doi:10.11924/j.issn.1000-6850.casb2021-0684

中国农学通报 ›› 2021, Vol. 37 ›› Issue (35): 110-117.doi: 10.11924/j.issn.1000-6850.casb2021-0684

所属专题：植物保护

• 食品·营养·检测·安全 • 上一篇下一篇

改良QuEChERS方法结合气相色谱测定红甜菜中20种农药残留

刘琳¹(), 马腾飞¹, 贾孙悦², 周芹¹^,³^,⁴(), 王皙玮¹^,³^,⁴()

¹黑龙江大学现代农业与生态环境学院,哈尔滨 150080
²黑龙江大学化学化工与材料学院,哈尔滨 150080
³农业农村部甜菜品质监督检验测试中心,哈尔滨150080
⁴农业农村部糖料产品质量安全风险评估实验室,哈尔滨 150080

收稿日期:2021-07-09 修回日期:2021-09-30 出版日期:2021-12-15 发布日期:2022-01-07
通讯作者: 周芹,王皙玮
作者简介:刘琳,女,1997年出生,河南信阳人,硕士研究生,主要从事农产品质量检验方面的工作。通信地址：150080 哈尔滨市南岗区学府路74号黑龙江大学农学楼223,E-mail： liulin_1217@163.com。
基金资助:
现代农业产业技术体系建设专项资金“质量安全与营养品质评价”(CARS-170503);黑龙江省高校基本科研业务经费(KJCX201919)

Determination of 20 Pesticide Residues in Red Beet by Modified QuEChERS Method Combined with Gas Chromatography

Liu Lin¹(), Ma Tengfei¹, Jia Sunyue², Zhou Qin¹^,³^,⁴(), Wang Xiwei¹^,³^,⁴()

¹Modern Agriculture and the Ecological Environment Academy of Heilongjiang University, Harbin 150080
²School of Chemistry and Materials Science, Heilongjiang University, Harbin 150080
³Beet Quality Supervision, Inspection and Test Center Ministry of Agriculture and Rural Affairs, Harbin 150080
⁴Laboratory of Quality & Safety Risk Assessment for Sugar Crops Products, Ministry of Agriculture and Rural Affairs, Harbin 150080;

Received:2021-07-09 Revised:2021-09-30 Online:2021-12-15 Published:2022-01-07
Contact: Zhou Qin,Wang Xiwei

摘要/Abstract

摘要：

建立了改良的QuEChERS法结合气相色谱-电子捕获检测器用于红甜菜中20种农药残留的联合测定方法。样品中农药残留以乙腈作为提取溶剂,多壁碳纳米管分散固相萃取去除杂质,过滤后经RTX-1色谱柱分离,GC-ECD检测,外标法定量。探讨了气相色谱的程序升温条件,考察了不同提取溶剂及不同的净化方法对检测结果的影响。结果表明：在优化的色谱条件下,20种农药在0.01~0.50 mg/L（莠去津为0.03~0.50 mg/L）范围内线性关系良好,相关系数(R²)均大于0.99,并且得到很好的分离;乙腈与样品的比例为1:2,多壁碳纳米管用量为10 mg的前处理条件下,红甜菜样品在3个浓度的平均回收率为62.0%~116.5%之间,相对标准偏差为1.9%~10.9%,检出限为0.12 µg/L~0.063 mg/L,定量限为0.4 µg/L~0.21 mg/L。该方法操作简单、快速、准确,适用于红甜菜中有机氯及拟除虫菊酯类多农药残留的检测。

关键词: QuEChERS, 气相色谱, 多壁碳纳米管, 红甜菜, 农药残留

Abstract:

A method was developed to determine 20 pesticide residues in red beet by modified QuEChERS method combined with gas chromatography-electron capture detector. The pesticide residues in the samples were extracted by acetonitrile and cleaned up by dispersive solid-phase extraction using MWCNTs, after filtration, they were separated on RTX-1 chromatographic column, determined by gas chromatography, and quantified by the external standard method. The temperature-programmed conditions of gas chromatography were tested, and the effects of different extraction solvents and purification methods on the detection results were investigated. The results showed that under the optimized conditions, good linear relations were obtained in the range of 0.01-0.50 mg/L (Atrazine was in the range of 0.03-0.50 mg/L), the correlation coefficients (R²) were all higher than 0.99, and 20 pesticides were well separated. The pre-treatment condition was as follow: acetonitrile: sample was 2:1, and the amount of MWCNTs was 10 mg. The average recoveries of red beet were 62.0%-116.5% at three spiked concentration levels with relative standard deviations (RSDs) of 1.9%-10.9%, the limits of detection were 0.12 μg/L - 0.063 mg/L, and the limits of quantitation were 0.4 μg/L - 0.21 mg/L. This method is simple, rapid, accurate, and could be used for the determination of organochlorine and pyrethroid residues in red beet.

Key words: QuEChERS, gas chromatography, multi-walled carbon nanotubes, red beet, pesticide residue

中图分类号:

刘琳, 马腾飞, 贾孙悦, 周芹, 王皙玮. 改良QuEChERS方法结合气相色谱测定红甜菜中20种农药残留[J]. 中国农学通报, 2021, 37(35): 110-117.

Liu Lin, Ma Tengfei, Jia Sunyue, Zhou Qin, Wang Xiwei. Determination of 20 Pesticide Residues in Red Beet by Modified QuEChERS Method Combined with Gas Chromatography[J]. Chinese Agricultural Science Bulletin, 2021, 37(35): 110-117.

图/表 7

参考文献 36

[1]	吴则东, 张文彬, 吴玉梅. 红甜菜的特殊功效及应用[J]. 中国糖料, 2015, 37(2):68-70.
[2]	Kumar, Sonia, Brooks, et al. Use of Red Beet (Beta vulgaris L.) for Antimicrobial Applications-a Critical Review[J]. Food and bioprocess technology, 2018, 11(1):17-42. doi: 10.1007/s11947-017-1942-z URL
[3]	刘文卓, 雷菁清, 甘生智, 等. 红甜菜根中甜菜红色素开发利用研究进展[J]. 食品工业, 2021, 42(4):346-350.
[4]	Li C, Zhu H, Li C, et al. The present situation of pesticide residues in China and their removal and transformation during food processing[J]. Food Chemistry, 2021, 354(2):129552. doi: 10.1016/j.foodchem.2021.129552 URL
[5]	潘灿平. 2018年联合国粮农组织和世界卫生组织农药残留联席会议在德国柏林召开[J]. 农药学学报, 2018, 20(5):642.
[6]	王喆, 周芹, 李慧敏. 多壁碳纳米管分散固相萃取气相色谱-质谱法测定红甜菜中10种农药残留[J]. 中国糖料, 2019, 41(3):28-34.
[7]	容秀湾, 李慧玲, 杨帆. 气相色谱法在食品农药残留检测中的应用[J]. 现代食品, 2019(5):117-119.
[8]	王宏梅, 王建博. 气相色谱原理及其在农残检测中的应用[J]. 农家参谋, 2020,No. 661(14):82-82.
[9]	丁怡, 李荣玉, 刘世江, 等. 高效液相色谱法测定茶叶中的5种农药残留[J]. 中国农学通报, 2020, 36(29):132-138.
[10]	Mohammed S, Lamoree M, Ansa-Asare O D, et al. Review of the analysis of insecticide residues and their levels in different matrices in Ghana[J]. Ecotoxicology and environmental safety, 2019, 171:361-372. doi: S0147-6513(18)31337-X pmid: 30616153
[11]	邓晶晶, 苟琰, 耿昭, 等. 气相色谱-串联质谱法检测川产丹参中70种农药残留[J]. 农药学学报, 2020, 22(5):847-856.
[12]	Han C, Hu B, Liu B, et al. Determination of Four Amide Fungicides in Grape Wine by Gas Chromatography Coupled with Tandem Mass Spectrometry[J]. Food Analytical Methods, 2020:1-9.
[13]	张月. 超高效液相色谱-串联质谱法测定水稻中噁唑酰草胺残留量[J]. 中国农学通报, 2020, 36(9):127-131.
[14]	Xu X, Xu X Y, Han M, et al. Development of a modified QuEChERS method based on magnetic multi walled carbon nanotubes for the simultaneous determination of veterinary drugs, pesticides and mycotoxins in eggs by UPLC-MS/MS[J]. Food chemistry, 2019, 276:419-426. doi: S0308-8146(18)31817-X pmid: 30409614
[15]	Gawel M, Kiljanek T, Niewiadowska A, et al. Determination of neonicotinoids and 199 other pesticide residues in honey by liquid and gas chromatography coupled with tandem mass spectrometry[J]. Food Chemistry, 2019, 282(JUN.1):36-47. doi: 10.1016/j.foodchem.2019.01.003 URL
[16]	Nash J F, Bopp R J, Carmichael R H, et al. Determination of fluoxetine and norfluoxetine in plasma by gas chromatography with electron-capture detection[J]. Clinical Chemistry, 2019(10):10.
[17]	Edgell K W, Erb E J, Wesselman R J, et al. Gas Chromatographic/Electron Capture Detection Method for Determination of Chlorinated Acids in Water: Collaborative Study[J]. Journal of AOAC International, 2020(5):5.
[18]	Zuo H G, Yang H, Zhu J X, et al. Synjournal of Molecularly Imprinted Polymer on Surface of TiO2 Nanowires and Assessment of Malathion and its Metabolite in Environmental Water[J]. Journal of Analytical Chemistry, 2019, 74(10):1039-1055. doi: 10.1134/S1061934819100058 URL
[19]	杨松, 邹楠, 高云, 等. 固相萃取-超高效液相色谱-串联质谱法检测环境水体中18种农药残留[J]. 色谱, 2020, 38(7):826-832.
[20]	Canl A G, B Sürücü, Ulusoy H B, et al. Analytical Methodology for Trace Determination of Propoxur and Fenitrothion Pesticide Residues by Decanoic Acid Modified Magnetic Nanoparticles[J]. Molecules, 2019, 24(24).
[21]	Zhang M, Ma G, Zhang L, et al. Chitosan-reduced graphene oxide composites with 3D structures as effective reverse dispersed solid phase extraction adsorbents for pesticides analysis[J]. Analyst, 2019, 144.
[22]	Valverde M G, Bueno M, MDM Gómez-Ramos, et al. Validation of a quick and easy extraction method for the determination of emerging contaminants and pesticide residues in agricultural soils[J]. MethodsX, 2021, 8:101-290.
[23]	Ram C, Ron C, Myer L, et al. Determination of Crude Fat in Meat by Supercritical Fluid Extraction: Direct Method[J]. Journal of AOAC International, 2019(2):2.
[24]	Ye F, Zhong Q, Liang Y, et al. Determination of lipid mediators in breast cancer cells using lyophilizationsupercritical fluid extraction online coupled with supercritical fluid chromatographyquadrupole tandem mass spectrometry[J]. Journal of Separation Science, 2020, 43(9-10).
[25]	郭境颖, 胡彧娴, 赖添财, 等. QuEChERS结合HPLC-MS/MS测定柑橘中5种杀螨剂残留[J]. 中国农学通报, 2018, 34(24):64-70.
[26]	张萍, 彭立军, 张惠贤, 等. 改进的QuEChERS方法结合气相色谱串联质谱检测韭菜中的多种农药残留[J]. 分析试验室, 2018, 037(5):553-559.
[27]	Pei B, Wang W, Dunne N, et al. Applications of Carbon Nanotubes in Bone Tissue Regeneration and Engineering: Superiority, Concerns, Current Advancements, and Prospects[J]. Nanomaterials, 2019, 9(10):1501. doi: 10.3390/nano9101501 URL
[28]	Farajzadeh M A, Yadeghari A, Khoshmaram L. Combination of dispersive solid phase extraction and dispersive liquid-liquid microextraction for extraction of some aryloxy pesticides prior to their determination by gas chromatography[J]. Microchemical Journal, 2017, 131:182-191. doi: 10.1016/j.microc.2016.12.013 URL
[29]	Bati A, Yu L P, Batmunkh M, et al. Recent Advances in Applications of Sorted Single‐Walled Carbon Nanotubes[J]. Advanced Functional Materials, 2019, 29(30):1902273.1-1902273.33.
[30]	Zhao H, Ma H, Li X, et al. Nanocomposite of halloysite nanotubes/multi-walled carbon nanotubes for methyl parathion electrochemical sensor application[J]. Applied Clay Science, 2020, 200:105-907.
[31]	盛淑美, 章冶, 李栋梁, 等. 多壁碳纳米管对CH4-CO2-TBAB水合物的促进作用[J]. 天然气化工:C1化学与化工, 2019, 44(1):51-56.
[32]	陈兴连, 邵金良, 方海仙, 等. 气相色谱法同时快速测定茶饮料及其制品中17种有机氯、拟除虫菊酯农药残留[J]. 食品安全质量检测学报, 2018, 9(6):1275-1283.
[33]	Celeiro M, Vazquez L, Sergazina M, et al. Turning cork by-products into smart and green materials for solid-phase extraction - gas chromatography tandem mass spectrometry analysis of fungicides in water[J]. Journal of Chromatography A, 2020, 1628(1):461437.
[34]	Bernardi G, Kemmerich M, Adaime M B, et al. Miniaturized QuEChERS method for determination of 97 pesticide residues in wine by ultra-high performance liquid chromatography coupled to tandem mass spectrometry[J]. Analytical methods, 2020, 12(21).
[35]	崔鹏, 马晶, 孙谦. GC-MS/MS结合改进的QuEChERS方法测定茶叶中多农药残留[J]. 环境化学, 2018, 037(005):1175-1178.
[36]	品安全国家标准食品中农药最大残留限量: GB 2763—2019[S]. 北京: 中国标准出版社, 2018.

序号	农药名称	保留时间/ min	线性回归方程	相关系数 (R²)	线性范围/ (mg/L)	检出限(LOD)/ (mg/L)	定量限(LOQ)/ (mg/L)
1	α-六六六	5.950	Y=5403880X+843.20	0.9994	0.01-0.50	0.0068	0.023
2	β-六六六	6.301	Y=2351319X+13673.71	0.9991	0.01-0.50	0.0254	0.085
3	莠去津	6.516	Y=77612.16X+4602.97	0.9974	0.03-0.50	0.0630	0.210
4	γ-六六六	6.745	Y=4267368X+2130.29	0.9994	0.01-0.50	0.0201	0.067
5	δ-六六六	6.899	Y=4335205X-19409.3	0.9995	0.01-0.50	0.0187	0.062
6	百菌清	7.311	Y=3352703X+16.89	0.9993	0.01-0.50	0.0219	0.073
7	七氯	9.200	Y=3122723X+20282.27	0.9991	0.01-0.50	0.0250	0.083
8	艾氏剂	10.301	Y=4244097X+1214.20	0.9994	0.01-0.50	0.0198	0.066
9	pp'-滴滴伊	13.329	Y=4572184X-5123.11	0.9995	0.01-0.50	0.0190	0.063
10	异狄氏剂	13.870	Y=3526679X+143758.6	0.9950	0.01-0.50	0.0001	0.000
11	pp'-滴滴滴	14.451	Y=2084406X+34237.52	0.9969	0.01-0.50	0.0047	0.016
12	op'-滴滴涕	14.716	Y=5183422X+29151.38	0.9995	0.01-0.50	0.0006	0.002
13	pp'-滴滴涕	15.733	Y=3169636X+223.16	0.9995	0.01-0.50	0.0189	0.063
14	甲氰菊酯	17.659	Y=1003682X+26046.62	0.9951	0.01-0.50	0.0100	0.033
15	氯氟氰菊酯	19.232	Y=3424542X-73067.19	0.9964	0.01-0.50	0.0087	0.029
16	顺式二氯苯醚菊酯	20.492	Y=690182.7X+6660.86	0.9996	0.01-0.50	0.0025	0.008
17	二氯苯醚菊酯	20.750	Y=622104.3X+5767.925	0.9995	0.01-0.50	0.0039	0.013
18	氟氯氰菊酯	22.015	Y=617136.6X-327.47	0.9998	0.01-0.50	0.0122	0.041
19	氰戊菊酯	25.140	Y=1669978X-7717.494	0.9999	0.01-0.50	0.0019	0.006
20	溴氰菊酯	27.998	Y=1766025X+24795.23	0.9959	0.01-0.50	0.0167	0.056

序号	农药名称	保留时间/ min	线性回归方程	相关系数 (R²)	线性范围/ (mg/L)	检出限(LOD)/ (mg/L)	定量限(LOQ)/ (mg/L)
1	α-六六六	5.950	Y=5403880X+843.20	0.9994	0.01-0.50	0.0068	0.023
2	β-六六六	6.301	Y=2351319X+13673.71	0.9991	0.01-0.50	0.0254	0.085
3	莠去津	6.516	Y=77612.16X+4602.97	0.9974	0.03-0.50	0.0630	0.210
4	γ-六六六	6.745	Y=4267368X+2130.29	0.9994	0.01-0.50	0.0201	0.067
5	δ-六六六	6.899	Y=4335205X-19409.3	0.9995	0.01-0.50	0.0187	0.062
6	百菌清	7.311	Y=3352703X+16.89	0.9993	0.01-0.50	0.0219	0.073
7	七氯	9.200	Y=3122723X+20282.27	0.9991	0.01-0.50	0.0250	0.083
8	艾氏剂	10.301	Y=4244097X+1214.20	0.9994	0.01-0.50	0.0198	0.066
9	pp'-滴滴伊	13.329	Y=4572184X-5123.11	0.9995	0.01-0.50	0.0190	0.063
10	异狄氏剂	13.870	Y=3526679X+143758.6	0.9950	0.01-0.50	0.0001	0.000
11	pp'-滴滴滴	14.451	Y=2084406X+34237.52	0.9969	0.01-0.50	0.0047	0.016
12	op'-滴滴涕	14.716	Y=5183422X+29151.38	0.9995	0.01-0.50	0.0006	0.002
13	pp'-滴滴涕	15.733	Y=3169636X+223.16	0.9995	0.01-0.50	0.0189	0.063
14	甲氰菊酯	17.659	Y=1003682X+26046.62	0.9951	0.01-0.50	0.0100	0.033
15	氯氟氰菊酯	19.232	Y=3424542X-73067.19	0.9964	0.01-0.50	0.0087	0.029
16	顺式二氯苯醚菊酯	20.492	Y=690182.7X+6660.86	0.9996	0.01-0.50	0.0025	0.008
17	二氯苯醚菊酯	20.750	Y=622104.3X+5767.925	0.9995	0.01-0.50	0.0039	0.013
18	氟氯氰菊酯	22.015	Y=617136.6X-327.47	0.9998	0.01-0.50	0.0122	0.041
19	氰戊菊酯	25.140	Y=1669978X-7717.494	0.9999	0.01-0.50	0.0019	0.006
20	溴氰菊酯	27.998	Y=1766025X+24795.23	0.9959	0.01-0.50	0.0167	0.056

序号	农药名称	加标浓度/ (mg/kg)	平均回收率/%	RSD/%	序号	农药名称	加标浓度/ (mg/kg)	平均回收率/%	RSD/%
1	α-六六六	0.04	62.5	4.6	11	pp'-滴滴滴	0.05	114.1	3.6
		0.08	62.8	2.7			0.1	116.2	3.5
		0.16	70.0	6.4			0.2	113.8	3.4
2	β-六六六	0.05	80.0	8.8	12	op'-滴滴涕	0.05	116.2	2.8
		0.1	107.4	3.3			0.1	114.5	2.3
		0.2	111.7	3.4			0.2	110.5	2.5
3	莠去津	0.1	82.8	8.3	13	pp'-滴滴涕	0.05	97.5	9.5
		0.2	86.2	2.5			0.1	108.3	5.9
		0.4	73.4	8.3			0.2	105.8	3.9
4	γ-六六六	0.04	114.9	3.5	14	甲氰菊酯	0.08	116.5	2.8
		0.08	109.2	4.2			0.16	112.0	4.2
		0.16	111.2	3.6			0.32	112.8	6.4
5	δ-六六六	0.05	116.0	2.6	15	氯氟氰菊酯	0.05	62.0	6.4
		0.1	109.5	3.0			0.1	72.3	10.9
		0.2	111.0	2.7			0.2	68.5	8.6
6	百菌清	0.05	81.4	7.1	16	顺式二氯苯醚菊酯	0.08	113.5	3.8
		0.1	114.2	3.9			0.16	111.4	2.4
		0.2	80.6	8.1			0.32	112.0	3.3
7	七氯	0.05	107.4	8.9	17	二氯苯醚菊酯	0.08	106.7	9.3
		0.1	95.3	9.5			0.16	108.9	8.5
		0.2	107.7	6.1			0.32	108.2	4.0
8	艾氏剂	0.05	107.5	9.8	18	氟氯氰菊酯	0.08	87.5	5.0
		0.1	111.2	4.0			0.16	76.5	9.5
		0.2	103.3	8.4			0.32	110.7	7.2
9	pp'-滴滴伊	0.05	113.6	2.0	19	氰戊菊酯	0.08	84.2	8.9
		0.1	112.0	2.6			0.16	84.4	4.8
		0.2	107.8	4.3			0.32	101.2	9.5
10	异狄氏剂	0.05	71.7	9.8	20	溴氰菊酯	0.08	62.2	7.0
		0.1	92.2	10.3			0.16	62.7	2.6
		0.2	110.1	5.9			0.32	62.7	1.9

序号	农药名称	加标浓度/ (mg/kg)	平均回收率/%	RSD/%	序号	农药名称	加标浓度/ (mg/kg)	平均回收率/%	RSD/%
1	α-六六六	0.04	62.5	4.6	11	pp'-滴滴滴	0.05	114.1	3.6
		0.08	62.8	2.7			0.1	116.2	3.5
		0.16	70.0	6.4			0.2	113.8	3.4
2	β-六六六	0.05	80.0	8.8	12	op'-滴滴涕	0.05	116.2	2.8
		0.1	107.4	3.3			0.1	114.5	2.3
		0.2	111.7	3.4			0.2	110.5	2.5
3	莠去津	0.1	82.8	8.3	13	pp'-滴滴涕	0.05	97.5	9.5
		0.2	86.2	2.5			0.1	108.3	5.9
		0.4	73.4	8.3			0.2	105.8	3.9
4	γ-六六六	0.04	114.9	3.5	14	甲氰菊酯	0.08	116.5	2.8
		0.08	109.2	4.2			0.16	112.0	4.2
		0.16	111.2	3.6			0.32	112.8	6.4
5	δ-六六六	0.05	116.0	2.6	15	氯氟氰菊酯	0.05	62.0	6.4
		0.1	109.5	3.0			0.1	72.3	10.9
		0.2	111.0	2.7			0.2	68.5	8.6
6	百菌清	0.05	81.4	7.1	16	顺式二氯苯醚菊酯	0.08	113.5	3.8
		0.1	114.2	3.9			0.16	111.4	2.4
		0.2	80.6	8.1			0.32	112.0	3.3
7	七氯	0.05	107.4	8.9	17	二氯苯醚菊酯	0.08	106.7	9.3
		0.1	95.3	9.5			0.16	108.9	8.5
		0.2	107.7	6.1			0.32	108.2	4.0
8	艾氏剂	0.05	107.5	9.8	18	氟氯氰菊酯	0.08	87.5	5.0
		0.1	111.2	4.0			0.16	76.5	9.5
		0.2	103.3	8.4			0.32	110.7	7.2
9	pp'-滴滴伊	0.05	113.6	2.0	19	氰戊菊酯	0.08	84.2	8.9
		0.1	112.0	2.6			0.16	84.4	4.8
		0.2	107.8	4.3			0.32	101.2	9.5
10	异狄氏剂	0.05	71.7	9.8	20	溴氰菊酯	0.08	62.2	7.0
		0.1	92.2	10.3			0.16	62.7	2.6
		0.2	110.1	5.9			0.32	62.7	1.9

改良QuEChERS方法结合气相色谱测定红甜菜中20种农药残留

Determination of 20 Pesticide Residues in Red Beet by Modified QuEChERS Method Combined with Gas Chromatography

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