A self-penetrating and chemically stable zinc (ii)-organic framework as multi-responsive chemo-sensor to detect pesticide and antibiotics in water

Guided by the self-penetrating features can improve the stability of metal organic frameworks (MOFs), an unprecedented 3D self-penetrated framework, {[Zn (tptc)_0.5(bimb)]·H₂O}_n ( NUC-6 , here NUC corresponding to North University of China), with 3D (4,4)-c {8⁶} net, was designed. Benefit from the high chemical stability and excellent luminescent property, NUC-6 can be act as an efficient multi-response chemo-sensor in detecting dichloronitroaniline pesticide and nitrofuran antibiotics in water with the detection limits are 116 ppb for DCN pesticide, 16 ppb for NFT antibiotic, and 12 ppb for NTZ antibiotic. Besides, the mechanisms of luminescence quenching were revealed from the viewpoint of internal filter effect (IFE) and photo-induced electron transfer (PET), implied by the optical spectroscopy and quantum chemical calculation. This work provides a promising strategy to design stable MOFs by improving the self-penetrating features and to expand their practical applications in the detection of organic pollutants in aqueous medium.     

Spreading of Oil Droplets Containing Surfactants and Pesticides on Water Surface Based on the Marangoni Effect

Oil droplets containing surfactants and pesticides are expected to spread on a water surface, under the Marangoni effect, depending on the surfactant. Pesticides are transported into water through this phenomenon. A high-speed video camera was used to measure the movement of Marangoni ridges. Gas chromatography with an electron capture detector was used to analyze the concentration of the pesticide in water at different times. Oil droplets containing the surfactant and pesticide spread quickly on the water surface by Marangoni flow, forming an oil film and promoting emulsification of the oil–water interface, which enabled even transport of the pesticide into water, where it was then absorbed by weeds. Surfactants can decrease the surface tension of the water subphase after deposition, thereby enhancing the Marangoni effect in pesticide-containing oil droplets. The time and labor required for applying pesticides in rice fields can be greatly reduced by using the Marangoni effect to transport pesticides to the target.     

基于QuEChERS净化-气相色谱法同时测定蔬菜中6种有机磷类农药残留

建立了QuEChERS（Quick，Easy，Cheap，Effective，Rugged and Safe）法-气相色谱法测定蔬菜中6种有机磷农药残留量的检测方法.样品用1%乙酸乙腈提取，经N-丙基乙二胺（PSA）和无水硫酸镁分散固相萃取净化，气相色谱火焰光度检测器测定.考察了QuEChERS法在两种不同体系（氯化钠盐析和乙酸盐缓冲体系）的提取净化效果.试验结果表明，在乙酸盐缓冲体系中，有机磷农药残留更加稳定，回收率更高.6种有机磷农药残留在0.2~10.0 mg/L之间线性关系良好，相关系数（R²）均大于0.999，检出限在0.003 5~0.015 mg/L之间.低、中、高3个添加水平的回收率在78.5%~106.3%之间，相对标准偏差在1.4%~6.3%之间.方法简单、快捷，准确可靠，适合大批量样品农残检测.     

Method validation,residue analysis and dietary risk assessment of trifloxystrobin and trifloxystrobin acid in milk,eggs and pork

Trifloxystrobin (TFS) is a widely used strobilurin fungicide and its residues accumulating in animal-derived food could result in potential harm to consumers. By optimization of extraction solvents and cleanup sorbents, a residue analysis method for TFS and its metabolite trifloxystrobin acid (TFSA) was established in milk, eggs and pork based on QuEChERS sample preparation and LC–MS/MS. The calibration curves exhibited good linearity with determination coefficients (R²) >0.9930 over the range of 0.5–250 ng/ml for both TFS and TFSA. The recoveries of the two analytes were 81–100% with RSD 3–10% and 76–96% with RSD 2–13%, respectively. The limit of quantification (LOQ) was 1 ng/g for both analytes. The milk, egg and pork samples, 30 each, were collected from the 30 main producing regions in China, and residues of TFS and TFSA were analyzed. The concentrations of both analytes were lower than the corresponding LOQs and maximum residue limits. Long-term dietary risk assessment showed that the hazard quotients were 0.001–0.003%, indicating an absence of unacceptable risks in milk, eggs and pork to the health of common consumers in China.     

凝胶渗透色谱-气相色谱-离子阱质谱法测定桔梗原药和当归提取物中101种农药残留

建立了凝胶渗透色谱（GPC）-气相色谱-离子阱质谱同时检测桔梗原药和当归提取物中101种农药残留的分析方法。方法采用乙腈超声辅助提取桔梗原药和当归提取物,浓缩提取液至近干后用乙酸乙酯-环己烷（1∶1, v/v）复溶,采用凝胶渗透色谱法（选取40 cm长、内径20 mm的凝胶渗透色谱柱）对样品进行净化,弃去前段含脂类、色素等杂质的流出液,收集17~30 min洗脱液并旋转蒸发浓缩至近干,甲苯1 mL定容上机。选用DB-5MS毛细管色谱柱分离待测物,通过离子阱质谱实现对101种农药残留的高效检测。方法通过优化前处理条件和离子阱二级质谱参数,有效降低了复杂中药基质对待测化合物的干扰,最大限度提高了样品中农药的定量准确性和回收率,101种农药3水平添加的平均回收率为58.3%~108.9%,每个添加水平10次独立重复测定的相对标准偏差为0.4%~16.5%,检出限（LOD）范围为0.2~40.0 μg/kg,可满足当前韩国、日本、欧洲规定的最大残留限量（maximum residue limits, MRLs）要求。方法具有操作简单快速、灵敏度高、重复性好等特点,凝胶渗透色谱技术的应用克服了固相萃取小柱净化容量不足的弊端,离子阱技术的应用可以进一步排除共流出基体杂质的干扰,提高定量和定性的准确性,检测效果优于常用的气相色谱-质谱法,是对中药中同时分析多种农药残留检测方法的有益补充。     

免疫分析技术在农药残留分析中的研究进展及在中药中的应用展望

中药材的农药残留问题一直是人们关注的重点,免疫分析技术作为一项特异性强、灵敏度高的快速分析检测技术,在实现中药材农药残留快速筛查方面发挥着重要作用。该文结合近年免疫分析相关研究进展,对不同的免疫分析技术在中药农药残留分析方面的应用、技术优势以及局限性进行总结分析,并对免疫分析技术的发展前景进行了展望,对免疫分析技术在农残分析领域的发展以及保障中药材的安全方面具有指导意义。     

基于QuEChERS净化/气相色谱法测定蔬菜及水果中16种有机氯农药残留

该文建立了蔬菜及水果中16种有机氯农药残留的QuEChERS净化/气相色谱快速检测方法。样品经1%冰乙酸乙腈处理,QuEChERS净化,气相色谱分离后,以色谱峰保留时间定性,外标法定量。结果表明:16种有机氯农药在2.0~100μg/L质量浓度范围内的线性关系良好,相关系数均大于0.99,检出限为0.16~2.90μg/L,在4种基质(油菜、黄瓜、橙子、苹果)中的加标回收率为70.1%~119%,相对标准偏差(RSD)为0.23%~5.2%。与其它前处理方法相比,该方法简便、快速、准确、高效,可用于蔬菜及水果样品中有机氯残留的高通量快速筛查。     

作为表面增强拉曼光谱基底的高度均匀Au纳米棒的构筑及对福美双的检测

采用种子生长法制备Au纳米棒(GNRs),随后进行组装和煅烧得到单层致密堆积的GNRs薄膜。在煅烧过程中,组装所需有机物在煅烧过程中分解,从而使得GNRs表面具有较高的清洁度。研究中发现,煅烧前后金纳米棒表面的间隙进一步提高,增强了其SERS(表面增强拉曼光谱)活性。为了研究其SERS活性,选择了2种探针分子以研究其灵敏度和均匀性,发现其具有较高的灵敏度和高的信号稳定性。随后将所制备的SERS基底成功用于检测超低浓度的农药分子。     

超高效液相色谱-四极杆-飞行时间质谱同时筛查腐败血液中24种农药

利用超高效液相色谱-四极杆-飞行时间质谱(UPLC-Q-TOF-MS)技术建立了腐败血液中24种常见投毒农药的快速筛查方法。采用Qu ECh ERS方法进行样品前处理。腐败血液经乙腈-水(4∶1)提取,同时加入无水硫酸镁脱水,超声后过0.22μm滤膜后直接测定。目标药物经ACQUITY UPLCTMHSS C18柱分离,以乙腈和0.1%甲酸-甲酸铵水溶液为流动相进行梯度洗脱,采用正离子全信息串联质谱扫描模式(MSE)进行筛查。结果表明,腐败血液中24种农药的检出限(LOD,S/N=3)为0.43~10.0 ng/m L;3个加标水平下的平均回收率为61%~98%,相对标准偏差(RSD)为1.5%~16.9%。该方法快速简便、灵敏度较高,可用于腐败血液中24种常见投毒农药的快速筛查。     

植物酯酶应用于有机磷农药残留分析技术的研究进展

有机磷农药残留在食品中,进入人体危害人类健康.因此,快速而灵敏的检测技术是预防农药残留危害的前提条件.而酶抑制技术正是一项快速检验技术.本文作者介绍了农药残留分析的现状,详细分析了植物酯酶应用于农药残留分析技术的研究进展.