苹果中克百威残留快检测定及方法评估

doi:10.6048/j.issn.1001-4330.2023.03.019

新疆农业科学 ›› 2023, Vol. 60 ›› Issue (3): 683-688.DOI: 10.6048/j.issn.1001-4330.2023.03.019

• 植物保护·设施农业·农产品加工工程·微生物 • 上一篇下一篇

苹果中克百威残留快检测定及方法评估

田锋¹^,²(), 包东东², 徐智明², 杨婧², 李娟², 刘晓红², 谭慧林²(), 张志东¹^,²()

1.新疆农业科学院微生物应用研究所/新疆特殊环境微生物实验室,乌鲁木齐 830091
2.阿克苏地区食品安全检测中心,新疆阿克苏 843000

收稿日期:2022-08-20 出版日期:2023-03-20 发布日期:2023-04-18
通信作者: 谭慧林(1977-),女,新疆乌鲁木齐人,正高级工程师,研究方向为食品安全检验,(E-mail)45118707@qq.com;
张志东(1977-),男,新疆乌鲁木齐人,研究员,博士,硕士生导师,研究方向为特殊环境微生物及食品微生物学,(E-mail)zhangzheedong@qq.com
作者简介:田锋(1990-),男,新疆阿克苏人,工程师,研究方向为食品安全检验,(E-mail)121745510@qq.com
基金资助:
国家重点研发计划(2018YFC1603400);阿克苏地区2020年度托峰人才项目;兵团科技攻关项目(2018AB042);新疆农业科学院自主培育项目团队建设专项(nkyzztd-001)

Evaluation of Rapid Detection Method for Carbofuran Residues in Apples

TIAN Feng¹^,²(), BAO Dongdong², XU Zhiming², YANG Jing², LI Juan², LIU Xiaohong², TAN Huilin²(), ZHANG Zhidong¹^,²()

1. Xinjiang Key Laboratory of Special Environmental Microbiology/ Institute of Applied Microbiology, Xinjiang Academy of Agricultural Sciences, Urumqi 830091, China
2. Food Safety Testing Center of Aksu Prefecture, Aksu Xinjiang 843000, China

Received:2022-08-20 Online:2023-03-20 Published:2023-04-18
Correspondence author: TAN Huilin(1977-),female,Native place:Urumqi, Xinjiang. Research Professor professial,research field: food safety inspection,(E-mail)45118707@qq.com;
ZHANG Zhidong (1977-),male,Native place:Yongcheng,Henan.Research Professor,research field: Exploration and utilization of microbial resources from special environments in Xinjiang,(E-mail)zhangzheedong@qq.com
Supported by:
National Key R & D Program Project(2018YFC1603400);Talent Project of Aksu Prefecture 2020;XPCC Project of Tackling Hard-Nut Problems in Science and Technology(2018AB042);Team Building Special Fund for Independent Cultivation Program of Xinjiang Academy of Agricultural Sciences(nkyzztd-001)

摘要/Abstract

摘要：

【目的】提高苹果中克百威残留快速检测方法的灵敏度与准确度,确保苹果产品中克百威农药残留抽查的高效和准确性。【方法】以新疆阿克苏当地6个点位市售苹果为检测样品,采用行业标准NY/T 761-2008第3部分的液相色谱法为参比方法,分别选择3家快检试剂盒,根据《食品快速检测方法评价技术规范》对其快检适应性进行评估。【结果】利用参比方法和快检试剂盒均未从苹果样品中检出克百威残留。3家快检试剂盒可在0.01 mg/kg以上呈阳性显色反应,低于GB/T 2763-2019《食品安全国家标准食品中农药最大残留限量》中的限量要求;试剂盒灵敏度均为100%、特异性均为50%、假阴性率均为0、假阳性率均为50%、相对准确度均为90%。【结论】所测试剂盒适用于苹果中克百威残留量的快速筛查。

关键词: 苹果; 克百威; 快检试剂盒; 评估

Abstract:

【Objective】 To evaluate the adaptability of different rapid detection kits in detecting carbofuran residues in apples, improve the sensitivity and accuracy of the methods and ensure the efficiency and accuracy of selective check in apple products.【Methods】 In this study, apples from six local markets in Aksu were taken as test samples, and the liquid chromatography of industry standard NY/T 761-2008 Part 3 was used as reference method.Three rapid detection kits were selected respectively, and their adaptability for rapid detection was evaluated according to Technical Specifications for Evaluation of Rapid Detection Methods of Food.【Results】 None of carbofuran residues in all samples was detected by the reference method and rapid detection kits.Results in different spiked levels showed that positive color could be observed above 0.01 mg/kg, which was lower than the maximum residue limits for pesticides in food listed in GB/T 2763-2019.All rapid detection kits displayed that the sensitivity was 100%, and specificity for carbofuran residues in apples was 50%.Compared with instructions, false negative rate was 0, false positive rates were 50% and relative accuracy was 90%.【Conclusion】 The rapid detection kits can be used in fast testing and screening of carbofuran residues in apples.

Key words: carbofuran; apples; rapid detection kit; evaluate

中图分类号:

S661.1

田锋, 包东东, 徐智明, 杨婧, 李娟, 刘晓红, 谭慧林, 张志东. 苹果中克百威残留快检测定及方法评估[J]. 新疆农业科学, 2023, 60(3): 683-688.

TIAN Feng, BAO Dongdong, XU Zhiming, YANG Jing, LI Juan, LIU Xiaohong, TAN Huilin, ZHANG Zhidong. Evaluation of Rapid Detection Method for Carbofuran Residues in Apples[J]. Xinjiang Agricultural Sciences, 2023, 60(3): 683-688.

图/表 3

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样品情况^a Sample^a	检测结果^b Result^b		总数 Total
样品情况^a Sample^a	阳性 Positive	阴性 Negative	总数 Total
阳性Positive	N11	N12	N1.=N11+N12
阴性Negative	N21	N22	N2.=N21+N22
总数Tatol	N.1=N11+N21	N.2=N12+N22	N=N1.+N2.或N.1+N.2
显著性差异(x²)Significant difference (x²)	x²=( N12-N21 -1)²/(N12+N21),自由度(df)=1
灵敏度(p+,%)sensitivity (p+,%)	p+=N11/N1.
特异性(p-,%)Specificity (p-,%)	p-=N22/N2.
假阴性率(pf-,%)False negative rate (pf-,%)	pf-=N12/N1.=100-灵敏度
假阳性率(pf+,%)False positive rate (pf+,%)	pf+=N21/N2.=100-特异性
相对准确度,%^cRelative accuracy %^c	(N11+N22)/(N1.+N2.)

样品情况^a Sample^a	检测结果^b Result^b		总数 Total
样品情况^a Sample^a	阳性 Positive	阴性 Negative	总数 Total
阳性Positive	N11	N12	N1.=N11+N12
阴性Negative	N21	N22	N2.=N21+N22
总数Tatol	N.1=N11+N21	N.2=N12+N22	N=N1.+N2.或N.1+N.2
显著性差异(x²)Significant difference (x²)	x²=( N12-N21 -1)²/(N12+N21),自由度(df)=1
灵敏度(p+,%)sensitivity (p+,%)	p+=N11/N1.
特异性(p-,%)Specificity (p-,%)	p-=N22/N2.
假阴性率(pf-,%)False negative rate (pf-,%)	pf-=N12/N1.=100-灵敏度
假阳性率(pf+,%)False positive rate (pf+,%)	pf+=N21/N2.=100-特异性
相对准确度,%^cRelative accuracy %^c	(N11+N22)/(N1.+N2.)

克百威加标浓度 Concentration of carbofuran spiked level (mg/kg)	检测值1 Test value (mg/kg)	检测值2 Test value (mg/kg)	检测值3 Test value (mg/kg)	回收率 Rate of recovery (%)
0.1	0.087	0.084	0.082	82~87
0.2	0.183	0.186	0.180	90~93
0.4	0.379	0.389	0.384	94~97
0.8	0.769	0.805	0.772	96~101
1.0	0.960	0.945	0.981	94~98

克百威加标浓度 Concentration of carbofuran spiked level (mg/kg)	检测值1 Test value (mg/kg)	检测值2 Test value (mg/kg)	检测值3 Test value (mg/kg)	回收率 Rate of recovery (%)
0.1	0.087	0.084	0.082	82~87
0.2	0.183	0.186	0.180	90~93
0.4	0.379	0.389	0.384	94~97
0.8	0.769	0.805	0.772	96~101
1.0	0.960	0.945	0.981	94~98

苹果中克百威残留快检测定及方法评估

Evaluation of Rapid Detection Method for Carbofuran Residues in Apples

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参考文献 27

相关文章 15

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Metrics

项目 Sample		试剂盒1 No.1 Kit			试剂盒2 No.2 Kit			试剂盒3 No.3 Kit
项目 Sample		阴性 Postive		阳性 Negative	阴性 Postive		阳性 Negative	阴性 Postive		阳性 Negative
克百威加标浓度 Concentration of carbofuran spiked level (mg/kg)	0	50		0	50		0	50		0
	0.01	0		50	0		50	0		50
	0.02	0		50	0		50	0		50
	0.05	0		50	0		50	0		50
	0.1	0		50	0		50	0		50
	0.2	0		50	0		50	0		50
	0.5	0		50	0		50	0		50
	1.0	0		50	0		50	0		50
	2.0	0		50	0		50	0		50
	5.0	0		50	0		50	0		50
灵敏度Sensitivity(%)			100			100			100
特异性Specificity(%)			50			50			50
假阳性率False positive rate(%)			50			50			50
假阴性率False negative rate(%)			0			0			0
相对准确度Relative accuracy(%)			90			90			90
显著性差异Significant difference			52.02			52.02			52.02

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