吡唑醚菌酯在柑橘汁加工过程中的残留动态

DONG Chao,ZHAO Qiyang,LI Jing,ZUO Wei,LI Zhixia,JIAO Bining

Chinese Journal of Pesticide Science（2021）

Cited 2|Views4

Abstract

为明确柑橘汁加工过程中吡唑醚菌酯的残留动态,于2019年在湖南省洪江市和重庆市江津区两地以普通甜橙为研究对象,采用40％吡唑 ? 咪鲜胺水乳剂按5倍最高推荐剂量(有效成分166.7 mg/kg)施药3次,按照橙汁典型商业化加工工艺过程进行加工,采用QuEChERS前处理方法结合高效液相色谱-串联质谱(HPLC-MS/MS)检测吡唑醚菌酯的残留量.方法确证结果表明:在0.0025～0.5 mg/L(皮精油基质为0.005～1 mg/L)范围内,吡唑醚菌酯的基质匹配标准曲线线性关系良好(相关系数大于0.9905).在0.01、0.1和2 mg/kg(皮精油基质为0.2、2和20 mg/kg)3个添加水平下,吡唑醚菌酯在柑橘加工产品及清洗液中的平均回收率为63％～110％,相对标准偏差(RSD)为1.3％～9.6％.柑橘汁加工试验结果表明:榨汁过程[加工因子(PF)的最佳评估值为<0.02]是降低吡唑醚菌酯残留的高效途径,吡唑醚菌酯易在皮渣(PF为1.2)及皮精油(PF为15.6)中富集.研究结果可为吡唑醚菌酯的膳食风险评估提供参考.

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Pretraining has recently greatly promoted the development of natural language processing (NLP)
We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
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