粉煤灰基氧氟沙星分子印迹聚合物的制备及其应用

以工业废料粉煤灰微球为基质,氧氟沙星 (OFL) 为模板分子,采用表面印迹法制备印迹材料MIP。通过紫外光谱法结合理论分析选择实验条件,并对该印迹材料结构、吸附行为进行研究。结果表明,该印迹材料对氧氟沙星具有良好的特异识别性和优良的亲和性。与以硅胶为载体制备的印迹聚合物相比,该材料吸附容量更高和印迹效果更好。将其作为固相萃取填料对鸡产品进行分离富集,与C18柱相比,分离富集效果更好。结合UPLC,对实际样品中氧氟沙星进行分析,回收率为82.0%-96.7%,相对标准偏差低于5.5%,可用于鸡产品中氧氟沙星分离分析。     

Selective recovery of rosmarinic and carnosic acids from rosemary leaves under ultrasound- and microwave-assisted extraction procedures

Ultrasound-assisted extraction (UAE) and microwave-assisted extraction (MAE) are currently amongst the foremost green techniques for accelerating extraction processes. Several methods for the efficient recovery of the phenolic compounds from rosemary leaves have so far been proposed, but little data are available on the use of UAE and MAE. The aim of this work is to investigate the efficiency and selectivity of these techniques in recovering fractions of specific phenolic compounds from dried rosemary leaves using solvents that are suitable for food applications. UAE has been carried out by means of a probe system equipped with a titanium horn working at 19.5 kHz (140 W). MAE has been performed in a closed multimode reactor under N₂ (20 bar) at 100 °C. All obtained extracts were dissolved in a defined solvent volume and the solutions were directly analyzed using a combination of the HPLC-DAD-MS and TOF techniques. MAE and UAE in ethanol and acetone dramatically increased phenol yield (more than three times) as compared to more traditional solid–liquid extraction processes. In terms of selectivity, remarkably high rosmarinic acid content (6.8% of the dried extract) was obtained in ethanol under ultrasound (US). Even more impressive is the selectivity of UAE in n-hexane which gave the highest carnosic acid content, up to 13% of the dried extract. In conclusion, non-conventional energy sources and, in particular, high-intensity US have proven themselves to be rapid, efficient, and selective techniques for rosemary leaf extraction and provide fractions with high rosmarinic and carnosic acid contents.     

Investigation of Uranium(VI) Extraction Mechanisms from Phosphoric and Sulfuric Media by 31P-NMR

Uranium extraction using DEHCNPB (butyl-1-[N,N-bis(2-ethylhexyl)carbamoyl]nonyl phosphonic acid, a bifunctional cationic extractant) has been studied to better understand mechanism differences depending on the original acidic solution (phosphoric or sulfuric). Solvent extraction batch experiments were carried out and the organic phases were probed using ³¹P-NMR. This technique enabled to demonstrate that phosphoric acid is poorly extracted by DEHCNPB ([H₃PO₄]_org < 2mM), using direct quantification in the organic phase by ³¹P-NMR spectra integration. Moreover, in the presence of uranium in the initial phosphoric acid solution, uranyl extraction by DEHCNPB competes with H₃PO₄ extraction.Average stoichiometries of U(VI)-DEHCNPB complexes in organic phases were also determined using slope analysis on uranium distribution data. Uranium seems to be extracted from a phosphoric medium by two extractant molecules, whereas more than three DEHCNPB on average would be necessary to extract uranium from a sulfuric medium. Thus, uranium is extracted according to different mechanisms depending on the nature of the initial solution.     

固相萃取-超高效液相色谱-同位素稀释串联质谱法测定蜂蜜中的甲硝唑和氯霉素

建立了同时测定蜂蜜中甲硝唑和氯霉素残留量的固相萃取-超高效液相色谱-同位素稀释串联质谱方法。蜂蜜样品中的甲硝唑和氯霉素经乙酸乙酯提取后,采用InertSep RP-1固相萃取柱对目标物进行富集和净化。经超高效液相色谱分离后,在三重四极杆质谱的多反应监测模式(MRM)下,甲硝唑通过正离子模式(ESI+)采集,氯霉素通过负离子模式(ESI-)采集,采用同位素稀释的内标法定量。本方法在浓度1~100ng/mL范围内具有良好的线性关系,相关系数R20.999。在添加水平为0.5、2.5、25μg/kg时,回收率在71.4%~123.4%之间,相对标准偏差为5.0%~12.3%。本方法采用一种前处理方式,可以同时测定蜂蜜中的甲硝唑与氯霉素残留,缩短了分析时间,提高了检测效率。     

固相萃取-超高效液相色谱/串联质谱法检测人体血清中邻苯二甲酸二(2-乙基已基)酯代谢物

建立了固相萃取-超高效液相色谱/串联质谱法检测人体血清中邻苯二甲酸二(2-乙基已基)酯(DEHP)代谢物.血清样品中加入乙酸钠溶液及内标13C4邻苯二甲酸单乙基已基酯(13C4MEHP)后,在37℃条件下用β-葡萄糖醛苷酶酶解提取12h,提取液经MAX固相萃取小柱净化并浓缩到纯水中.以甲醇5 mmol/L乙酸铵溶液为流动相,经Waters UPLC(R)HSS T3色谱柱分离后,在电喷雾离子源负离子模式下,以多反应监测(MRM)方式进行扫描,内标法定量.DEHP代谢物在1.0～100.0 μg/L范围内线性关系良好,检出限均为0.1 μg/kg,回收率89.6％～103.2％.该方法灵敏度高,准确度好,可作为监测人群内暴露的重要技术支撑.     

PDMS-Au复合基底上多环芳烃分子的表面增强拉曼光谱

利用聚二甲基硅氧烷(PDMS)对有机物的富集功能,通过在金纳米粒子单层膜(Au MLF)表面旋涂薄层PDMS膜制备PDMS-Au MLF复合表面增强拉曼光谱(SERS)基底.研究了SERS增强性能与旋涂液浓度及稀释溶剂间的关系,考察了复合基底增强活性的均匀性.研究发现,采用叔丁醇为稀释溶剂,浓度为2%(质量分数)的旋涂液时所得复合基底表面多环芳烃(PAHs)的SERS信号强度最高,且此基底SERS信号强度偏差小于10%.分别以PDMS-Au MLF复合材料和Au MLF作为基底,对比研究了对萘、蒽、菲和芘4种多环芳烃的SERS检测能力.结果表明,PDMS-Au MLF复合基底对以上4种有机物的检出限分别为10~(-6),10~(-7),10~(-8)及10~(-7)mol/L,相比于单一Au MLF基底,其检测限至少降低了1个数量级,这主要源自于PDMS对PAHs的富集作用,且此类复合基底可用于多种多环芳烃混合物的特征识别.     

纳米固相微萃取应用于干红辣椒、水果饮料及红酒中罗丹明B的定量分析

制备了一种新型的聚苯乙烯纳米纤维, 将其作为固相萃取吸附剂装填制成固相萃取柱, 与高效液相色谱联用建立了干辣椒、 水果饮料及红酒中罗丹明B的定量分析方法. 高效液相色谱以3 g/L磷酸缓冲液-甲醇混合溶液(体积比3∶7, pH=7.0)为流动相. 通过对提取条件的优化, 得到该方法对干辣椒中罗丹明B的检出限为0.1 ng/g, 最低定量限为0.6 ng/g; 对水果饮料和红酒中罗丹明B的检出限均为0.2 ng/mL, 最低定量限均为0.5 ng/mL. 此方法对干辣椒中罗丹明B的提取回收率为98.2%~110.3%; 对水果饮料中罗丹明B的提取回收率为94.6%~102.2%; 对红酒中罗丹明B的提取回收率为90.4%~104.6%. 该方法的线性范围为1~100 ng/mL(ng/g), 相对标准偏差为2.3%~9.0%. 该方法灵敏度高、 选择性好, 可用于干辣椒、 水果饮料及红酒中罗丹明B的定量分析.     

盐析辅助液液萃取交联聚维酮净化-靶向单一离子监测/高分辨质谱法测定蜂蜜中新烟碱类农药残留

基于盐析辅助液液萃取(LLE)交联聚维酮(PVPP)净化技术,建立了蜂蜜中7种新烟碱类农药的靶向单一离子监测(TSIM)/高分辨质谱检测方法。样品用乙腈基于盐析辅助LLE-PVPP提取净化,采用BEH C18色谱柱为分析柱,甲醇-水体系(两相均含0.1%甲酸和5 mmol/L甲酸铵)作为流动相,梯度洗脱,采用高分辨质谱TSIM模式检测目标化合物,内标法定量。结果表明,盐析辅助LLE-PVPP净化技术可实现提取净化一步式样品制备,TSIM扫描模式则显示了更宽的线性动态范围和更高的灵敏度与准确度。7种新烟碱类农药在0.01~100μg/L或0.02~100μg/L范围内具有良好的线性关系(r20.999);方法检出限为0.03~0.07μg/kg,定量下限为0.1~0.2μg/kg。在0.2、2、20μg/kg 3种加标水平下,7种新烟碱类农药在蜂蜜中的平均回收率为84.8%~112.7%,日内精密度(RSDr)为0.9%~5.7%,日间精密度(RSDR)为3.7%~9.7%。该方法前处理简单快速、成本较低,灵敏度高、重现性好,可广泛应用于蜂蜜中新烟碱类农药残留的快速检测。     

萃取温度对无灰煤结构及煤基活性炭电化学性能的影响

以内蒙古褐煤为原料,N-甲基吡咯烷酮为萃取剂,在不同温度下萃取制备无灰煤,进而利用KOH活化法制备活性炭,探究萃取温度对活性炭电化学性能的影响。结果表明,无灰煤萃取温度对煤基活性炭电化学性能有显著影响。对无灰煤及原料褐煤的灰分含量,表面官能团含量和对应活性炭的比表面积、孔结构及其电化学性能进行对比发现,330℃下萃取制备出的无灰煤在碱煤质量比3∶1,活化温度650℃,活化时间2h的活化过程中具备最适宜的反应性,对应活性炭比表面积高达1 252 m~2·g~(-1),表面官能团含量适中,在3 mol·L~(-1)KOH电解液中50 mA·g~(-1)电流密度下比电容高达322 F·g~(-1),2 A·g~(-1)的电流密度下比电容保持率仍可接近90%。     

固相萃取–液相色谱法测定方便面中苯并芘

建立固相萃取、高效液相色谱测定方便面中苯并芘的方法。采用正己烷作为萃取溶剂,经苯并芘检测专用固相萃取柱ProElut BaP净化提取,用高效液相色谱仪对方便面中苯并芘的含量进行测定。在0.5～10.0μg/kg范围内苯并芘的质量浓度与色谱峰面积呈良好的线性关系,相关系数为0.999 2,方法的检出限为0.3μg/kg。调味包和面饼中苯并芘的加标回收率分别为86.3%～95.7%和88.8%～96.6%,测定结果的相对标准偏差分别为3.2%～3.5%和2.7%～3.2%(n=6)。该方法适合方便面中苯并芘含量的日常检测。