基于氧化石墨烯气凝胶固相萃取柱检测有机磷农药

Gold nanoparticle functionalized nanopipette sensors for electrochemical paraquat detection

A sensitive nanopipette sensor is established through a unique design of host-guest recognition, which could be further enhanced by the introduction of gold nanoparticles (Au NPs). Generally, the nanopipette is conjugated with caboxylatopillar[5]arenes (CP[5]) or carboxylated leaning pillar[6]arene (CLP[6]) to generate recognition sites. After the addition of pesticide molecules, they would be captured by CP[5] (or CLP[6]), resulting in a significant electronegativity change on the nanopipette's inner surface, which could be determined by the ionic current change. The CP[5]-modified nanopipette exhibited reliable selectivity for paraquat, while the CLP[6]-modified nanopipette showed an ability of detection for both paraquat and diquat. The addition of Au NPs improved the selectivity and sensitivity of the CP[5]-Au NP-modified nanopipette for paraquat sensing. After optimization by lowering the size of the Au NPs, CP[5]-Au NPs (3 nm)-modified nanopipettes achieved lower detection limits of 0.034 nM for paraquat. Furthermore, in real sample analysis, this sensor demonstrates exceptional sensitivity and selectivity. This study provides a new strategy to develop nanopipette sensors for practical small molecule detection. The gold nanoparticles enhanced quartz nanopipette sensor based on host-guest interaction was firstly established, which could achieve an excellent limit of detection of 3.4 × 10^-11 mol/L for paraquat.

Modified QuEChERS method based on multi-walled carbon nanotubes coupled with gas chromatography-tandem mass spectrometry for the detection of 10 pyrethroid pesticide residues in tea

利用多壁碳纳米管(MWCNTs)QuEChERS法提取茶叶中拟除虫菊酯类残留农药,采用气相色谱-串联质谱(GC-MS/MS)分析测定,建立了一种灵敏度高、可靠性强的茶叶中农药残留检测方法。比较了单壁碳纳米管(SWCNTs)、MWCNTS、氨基化多壁碳纳米管和石墨烯4种碳纳米材料和其不同用量下的净化效果;采用正交试验设计对前处理最佳实验条件进行筛选,并对实验影响因素进行方差分析。结果表明:提取溶剂、碳纳米材料种类对10种拟除虫菊酯类农药回收率的影响具有极显著统计学差异(p<0.001),提取时间对回收率的影响有统计学差异(p<0.05),碳纳米材料用量对回收率影响不显著(p>0.05);最佳样品前处理条件为以乙腈为提取溶剂,超声提取35 min,净化剂为60 mg MWCNTs、200 mg PSA和200 mg C18。方法学考察表明,10种拟除虫菊酯类农药在0.01~2 mg/L范围内线性良好;检出限(LOD)为0.001~0.01 mg/kg,定量限(LOQ)为0.005~0.04 mg/kg;绿茶样品空白基质加标试验中,10种农药的回收率为91.4%~109.7%,相对标准偏差为0.12%~9.80%(n=6)。对花茶、绿茶、红茶3种茶叶基质进行基质效应(ME)评价,结果发现净化剂中加入MWCNTs在绿茶和红茶基质中能有效降低ME。利用该方法检测了市售120份茶叶中拟除虫菊酯类农药的残留,多个样品中检出目标物,但均未超标。该方法检测灵敏度高,可靠性好,具有良好的回收率和稳定性,能满足茶叶中农药残留快速定量分析的要求。