Background Plant hormones profoundly influence cotton growth,development,and responses to various stresses.Therefore,there is a pressing need for an efficient assay to quantify these hormones in cotton.In this groundb...Background Plant hormones profoundly influence cotton growth,development,and responses to various stresses.Therefore,there is a pressing need for an efficient assay to quantify these hormones in cotton.In this groundbreaking study,we have established QuEChERS-HPLC‒MS/MS method,for the simultaneous detection of multiple plant hormones in cotton leaves,allowing the analysis and quantification of five key plant hormones.Results Sample extraction and purification employed 0.1%acetic acid in methanol and C18 for optimal recovery of plant hormones.The method applied to cotton demonstrated excellent linearity across a concentration range of 0.05–1 mg・L−1,with linear regression coefficients exceeding 0.99.The limits of quantification(LOQs)were 20μg・kg−1 for GA3 and 5μg・kg−1 for the other four plant hormones.Recovery rates for the five plant hormones matrix spiked at levels of 5,10,100,and 1000μg・kg−1 were in the range of 79.07%to 98.97%,with intraday relative standard deviations(RSDs)ranging from 2.11%to 8.47%.The method was successfully employed to analyze and quantify the five analytes in cotton leaves treated with plant growth regulators.Conclusion The study demonstrates that the method is well-suited for the determination of five plant hormones in cotton.It exhibits excellent selectivity and sensitivity in detecting field samples,thus serving as a robust tool for indepth research into cotton physiology.展开更多
样品经正己烷第一次萃取后,氮吹至干,再由乙腈-水第二次萃取,乙腈层经改进的QuEChERS方法净化,以0.1%(V/V)甲酸水溶液-乙腈为流动相梯度洗脱,C18色谱柱分离,HPLC-MS/MS多反应监测(MRM)模式测定,基质匹配外标法定量。结果表明,在9种基质...样品经正己烷第一次萃取后,氮吹至干,再由乙腈-水第二次萃取,乙腈层经改进的QuEChERS方法净化,以0.1%(V/V)甲酸水溶液-乙腈为流动相梯度洗脱,C18色谱柱分离,HPLC-MS/MS多反应监测(MRM)模式测定,基质匹配外标法定量。结果表明,在9种基质(葡萄、梨、甘蔗、黄瓜、芹菜、土豆、大豆、玉米、大米)中,噁唑酰草胺在1.0~50.0ng/mL范围内的线性关系均较好(r>0.999),定量限在0.5μg/kg~1.0μg/kg;在1.0、5.0、10.0μg/kg3个添加水平下,平均回收率为63.9%~113.7%,相对标准偏差(relative standard deviation,RSD)为1.0%~22.2%(n=6)。该方法快速、灵敏、简便、准确,可用于多种植源性食品中噁唑酰草胺农药残留的定性和定量检测。展开更多
基金National Key R&D Program of China(2022YFD1400300)Agricultural Science and Technology Innovation Program of Chinese Academy of Agricultural SciencesChina Agriculture Research System.
文摘Background Plant hormones profoundly influence cotton growth,development,and responses to various stresses.Therefore,there is a pressing need for an efficient assay to quantify these hormones in cotton.In this groundbreaking study,we have established QuEChERS-HPLC‒MS/MS method,for the simultaneous detection of multiple plant hormones in cotton leaves,allowing the analysis and quantification of five key plant hormones.Results Sample extraction and purification employed 0.1%acetic acid in methanol and C18 for optimal recovery of plant hormones.The method applied to cotton demonstrated excellent linearity across a concentration range of 0.05–1 mg・L−1,with linear regression coefficients exceeding 0.99.The limits of quantification(LOQs)were 20μg・kg−1 for GA3 and 5μg・kg−1 for the other four plant hormones.Recovery rates for the five plant hormones matrix spiked at levels of 5,10,100,and 1000μg・kg−1 were in the range of 79.07%to 98.97%,with intraday relative standard deviations(RSDs)ranging from 2.11%to 8.47%.The method was successfully employed to analyze and quantify the five analytes in cotton leaves treated with plant growth regulators.Conclusion The study demonstrates that the method is well-suited for the determination of five plant hormones in cotton.It exhibits excellent selectivity and sensitivity in detecting field samples,thus serving as a robust tool for indepth research into cotton physiology.
文摘样品经正己烷第一次萃取后,氮吹至干,再由乙腈-水第二次萃取,乙腈层经改进的QuEChERS方法净化,以0.1%(V/V)甲酸水溶液-乙腈为流动相梯度洗脱,C18色谱柱分离,HPLC-MS/MS多反应监测(MRM)模式测定,基质匹配外标法定量。结果表明,在9种基质(葡萄、梨、甘蔗、黄瓜、芹菜、土豆、大豆、玉米、大米)中,噁唑酰草胺在1.0~50.0ng/mL范围内的线性关系均较好(r>0.999),定量限在0.5μg/kg~1.0μg/kg;在1.0、5.0、10.0μg/kg3个添加水平下,平均回收率为63.9%~113.7%,相对标准偏差(relative standard deviation,RSD)为1.0%~22.2%(n=6)。该方法快速、灵敏、简便、准确,可用于多种植源性食品中噁唑酰草胺农药残留的定性和定量检测。
