分光光度法测定生物柴油中的磷含量

本文通过对生物柴油样品进行皂化-灰化,建立了一种测定生物柴油中磷含量的分光光度分析方法。助剂KOH和K2SO4与生物柴油反应生成皂,皂灰化后得到易溶的磷酸钾盐,经钼蓝比色法测得生物柴油中的磷含量。该方法将生物柴油的催化灰化过程转化为皂的灰化过程,克服了生物柴油灰化过程的飞溅、燃烧,缩短了灰化时间,简化了后续操作。结果表明:本方法测定生物柴油中的磷含量与国家标准方法相当,相对标准偏差为3.01%,回收率在96.04%~105.61%之间,检测限为0.37mg/kg,定量限为1.22mg/kg。本方法准确度和精密度较高,可满足生物柴油中磷含量日常检测的需要。     

旋转盘电极原子发射光谱测定渣油中微量元素

采用旋转盘电极原子发射光谱测定船用渣油中铝、硅、钒、镍、铁、钠、钙、锌等元素含量。考察了粘度、颗粒对检测结果的影响,并用标油和3种不同渣油样品对试验方法进行了验证,结果表明:各元素检出限在0.12~2.86 mg/kg之间;回收率在96.1%~106.6%之间;相对标准偏差1.1%~4.5%。该方法检测结果与传统灰化-熔融法(IP501)结果一致,可应用于船用渣油的质量控制。     

石墨炉原子吸收光谱法测定压水反应堆硼酸介质中钙

以甘露醇为基体改进剂,建立石墨炉原子吸收光谱法测定压水反应堆硼酸介质中钙含量的方法。考察基体改进剂用量、灰化温度、原子化温度、基体干扰以及共存离子干扰对测定结果的影响,确定最佳测定条件:以硼含量为1000 mg/kg的硼酸为背景基体,加入适量甘露醇,样品作酸化处理,灰化温度为1700℃,原子化温度为2450℃。钙含量在8~32 μg/kg范围内与光谱强度成良好的线性关系,相关系数为0.9996,方法检出限为1.79 μg/kg。对于硼基体含量为0~2500 mg/kg的样品,测定结果的相对标准偏差为0.5%~7.5%(n=6),相对误差不大于13.2%,加标回收率为93.9%~113.3%。该方法检测速度快,结果准确,能满足实际生产要求。     

钙、镁、铁、铝离子对土壤中总氟化物检测干扰的消除

建立钙、镁、铁、铝离子对离子选择电极法检测土壤总氟化物干扰的消除方法。通过对含不同浓度水平钙、镁、铁、铝离子的土壤样品中总氟化物进行测试,明确了在总离子强度调节缓冲溶液共存下钙、镁、铁、铝离子对土壤提取液中总氟化物检测结果存在负干扰。通过测试10种土壤样品总氟化物提取液中干扰最强的背景铝含量,对其中土壤提取液中铝离子质量浓度大于10.0 mg/L的3种土壤样品进行加标回收试验,结果表明了土壤总氟化物含量为327～926 mg/kg范围内,当样品提取液中的铝离子含量为50～100 mg/L时,通过减少提取液取样体积为5.00 mL并增加柠檬酸三钠总离子强度缓冲溶液体积至15.0 mL的方法可将加标回收率由56.4%～78.3%优化至94.7%～104.0%;当加入Ca~(2+),Mg~(2+),Fe~(3+)质量浓度为200～300 mg/L,加标回收率由63.1%～77.6%优化为92.4%～105.0%。用优化后的方法测定土壤总氟化物含量为246～2 240 mg/kg的5种标准样品,测试结果与标准值一致。该方法能有效地消除土壤样品总氟化物测定中含钙、镁、铁离子质量浓度为200～300 mg/L,铝离子质量浓度为50～100 mg/L而产生的干扰,具有良好的适用性。     

分散固相萃取净化气相色谱串联质谱法测定茶叶、西葫芦和芒果中噻螨酮和噻嗪酮残留量

建立了分散周相萃取净化、气相色谱串联质谱法(GC-MS/MS)测定茶叶、芒果和可葫芦中噻螨酮和噻嗪酮残留分析方法,并对噻螨酮、噻嗪酮的质谱裂解规律和基质效应进行了分析。噻嗪酮和噻螨酮分别在0.040～40 mg/L和0.025～2.5 mg/L浓度范围内呈线性关系,相关系数0.9910,检出限分别为0.005和0.010 mg/L;不同样品中噻螨酮和噻嗪酮平均回收率为83.6%～116.9%之间,相对标准偏差为2.0%～15.7%,方法定量限为茶叶中0.010 mg/kg,西葫芦、芒果中为0.002 mg/kg采用此方法抽检我国不同地区市场上的120份芒果、西葫芦样品,均未检出噻螨酮噻嗪酮残留;检测20份噻嗪酮田间残留试验茶叶样,均未检出噻嗪酮残留(低于3.9 mg/kg)。     

柱前衍生-高效液相色谱-荧光检测法测定罐头食品中的尿素

建立了罐头食品中尿素残留检测的柱前衍生-高效液相色谱-荧光检测方法.取5.0 g样品,经20 mL 1%(v/v)乙酸溶液提取、定容,离心后取上清液过滤,吸取0.5 mL提取液用呫吨醇进行衍生,采用高效液相色谱-荧光检测器进行测定.尿素在0.1~500 mg/L内线性良好,相关系数大于0.9995.实验表明,在5种罐头食品中各添加0.001~30 g/kg尿素,其平均回收率为80.2%~109.7%,相对标准偏差(n=6)为2.05%~6.53%,检出限为0.5 mg/kg,定量限为1.0 mg/kg.利用本研究建立的方法对168个实际样品进行测定,在3个肉类罐头样品中检出尿素,含量分别为10.6、62.1和2.6 mg/kg.方法稳定、可靠、操作简单,适用于罐头食品中尿素的检测.     

在线凝胶渗透色谱-气相色谱/质谱法检测茶叶中的153种农药残留

建立了在线凝胶渗透色谱-气相色谱/质谱(GPC-GC/MS)分析茶叶中153种农药残留的方法。样品用乙腈超声提取,提取液经石墨化炭黑固相萃取柱净化后,经GPC-GC/MS在线净化、分离和检测。方法的加标回收率为73.32%～117.05%,相对标准偏差为0.76%～13.18%。方法的检出限和定量限范围分别为0.0003～0.006 mg/kg和0.001～0.02 mg/kg。该方法样品前处理简单、分析时间短,灵敏度和精密度均符合农药多残留检测技术的要求,适用于茶叶中多种农药残留的检测。     

超高效液相色谱-高分辨质谱法测定蜂蜜中的3种马桑内酯

建立了采用超高效液相色谱-高分辨质谱测定蜂蜜中3种马桑内酯残留的方法。样品采用0.2 mol/L磷酸盐缓冲溶液(pH=7.5)提取,经Waters HLB小柱净化,以Phenomenex C18色谱柱进行色谱分离,通过高分辨质谱t-MS²负离子扫描模式进行定性和定量分析。结果表明3种目标化合物的检出限(LOD)均为0.05 mg/kg,定量限(LOQ)均为0.1 mg/kg。空白蜂蜜样品在0.1~0.5 mg/kg范围内的3个加标水平的平均回收率为86.3%~95.6%,相对标准偏差为3.0%~8.4%。应用该方法对从新西兰进口的麦卢卡蜂蜜进行检测,检出一份样品含羟基马桑毒素0.3 mg/kg。该方法适用于蜂蜜中马桑内酯残留的检测。     

固相萃取/高效液相色谱-串联质谱法测定黄瓜及土壤中的春雷霉素残留

建立了测定黄瓜和土壤中春雷霉素残留的固相萃取/高效液相色谱-串联质谱(SPE/HPLC-MS/MS)方法。黄瓜和土壤样品分别经1%甲酸的甲醇、0.5%甲酸水提取后,采用MCX固相萃取柱净化,以Waters Xbridge BEH Amide色谱柱分离,0.2%甲酸水-乙腈溶液进行梯度洗脱,电喷雾正离子(ESI+)模式电离,多反应监测(MRM)模式检测,基质匹配标准曲线外标法定量。该方法灵敏、准确、简单快速、重复性好,在2~250μg/L浓度范围内,不同基质中春雷霉素的线性相关系数均大于0.999,检出限为0.002 mg/kg,定量下限为0.008 mg/kg;在0.008、0.040、0.200、0.400 mg/kg 4个加标水平下,春雷霉素在黄瓜和土壤样品中的平均回收率为77.5%~97.0%,相对标准偏差为2.6%~10.7%,能够满足黄瓜及土壤中春雷霉素残留的检测需求。应用该法对田间样品进行检测,结果表明,春雷霉素在黄瓜中的残留量不超过0.053 mg/kg,小于我国规定的黄瓜中最大残留限量(0.2 mg/kg);土壤中春雷霉素的残留量不超过0.013 mg/kg。     

全自动固相萃取技术同时测定动物产品中9种磺胺药物残留

针对目前动物产品中兽药残留检测样品前处理繁琐的问题,应用全自动固相萃取技术对动物产品中9种磺胺类药物残留检测的样品前处理方法进行了系统的研究,对提取溶剂、固相萃取柱、淋洗液、洗脱溶剂及仪器分析条件进行了优化选择,建立了新型磺胺药物残留检测的全自动固相萃取净化方法.经不同检测单位验证,该方法的加标回收率为78.4%～107.8%,精密度为3.9%～11.0%检出限为0.010～0.020mg/kg,满足出口检测要求.     

微波灰化-电感耦合等离子体原子发射光谱法测定原油中的金属元素

采用微波灰化技术消化原油样品,并使用电感耦合等离子体原子发射光谱法(ICP-AES)测定其中Na、Mg、Ca、Fe、V、Ni和Cu的含量。探讨了原油样品中金属元素测定的称样量和微波灰化程序,并优化了仪器工作参数和实验条件。样品经微波灰化处理后,用盐酸溶解残渣,方法对Na、Mg、Ca、Fe、V、Ni和Cu元素的检出限分别为0.07、0.01、0.01、0.01、0.02、0.04和0.03mg/kg,回收率在84.5%～96.6%之间,相对标准偏差在2.1%～6.9%范围。方法简便、可靠,可用于原油中Na、Mg、Ca、Fe、V、Ni和Cu 7种金属元素的检测。     

取样量对润滑油中微量水分检测结果的影响

研究取样量对润滑油中微量水分测定结果的影响。基于卡尔·费休滴定法,在选定的测量条件下,用发生电极为有隔膜的自动库仑水分仪对基础油、有机热载体油、压缩机油、膨胀机油等新油和发动机油、汽轮机油、涡轮机油、压缩机油、齿轮油、液压油、导热油、船用油、电器绝缘油、风动工具油、金属加工油等在用油在0.1~2.0 g内各取9组不同质量的样品进行测定,得到了润滑油中微量水分准确测定所需的取样量。实验结果表明,新油取样量大于1.0 g,在用油取样量在1.0~1.5 g范围内,可以准确测定润滑油中微量水分含量。测定结果的相对标准偏差为0.83%~3.51%(n=10),样品加标回收率为95.0%~103.0%。在选择的取样量下,该方法具有良好的精密度、准确度,可连续测定多个样品,满足测定需求。     

气相色谱-串联质谱法测定船用燃料油中的9种含氮化合物

采用气相色谱-串联质谱(GC-MS/MS)法建立了船用燃料油中9种含氮化合物的测定方法。样品以SPE小柱净化去除饱和烃后,通过二氯甲烷-乙醇(5∶1)溶液洗脱。用DB-5MS(30 m×0.25 mm×0.25μm)色谱柱分离,采用多反应监测(MRM)模式,外标法定量。结果表明,9种含氮化合物的色谱分离效果良好,在浓度1~1 000 mg/kg范围内与峰面积均呈线性关系。方法的定量下限(S/N=10)为0.18~0.43 mg/kg,平均加标回收率为85.3%~121.6%,相对标准偏差(RSD,n=6)均不大于6.8%。结果表明该方法快速可靠、准确简便,适用于船用燃料油中9种含氮化合物的检测。     

Determination of metals in foods by atomic absorption spectrometry after dry ashing: NMKL Collaborative Study

A method for determination of lead, cadmium, zinc, copper, and iron in foods by atomic absorption spectrometry (AAS) after dry ashing at 450 degrees C was collaboratively studied in 16 laboratories. The study was preceded by a practice round of familiarization samples and another round in which solutions were distributed and the metals were determined directly by AAS. The study included 5 different foods (liver paste, apple sauce, minced fish, wheat bran, and milk powder) and 2 simulated diets. A single analysis was carried out with each sample. Suitable sample combinations were used as split-level combinations for determination of the repeatability standard deviation. The reproducibility relative standard deviation for each of the elements ranged from 20 to 50% for lead concentrations of 0.040-0.25 mg/kg, from 12 to 352% for cadmium concentrations of 0.001-0.51 mg/kg, from 4 to 8% for zinc concentrations of 0.7-38 mg/kg, from 7 to 45% for copper concentrations of 0.51-45 mg/kg, and from 11 to 14% for iron concentrations of 4-216 mg/kg.     

Analytical Method Validation and Determination of Iron and Phosphorus in Vegetable Oil by Inductively Coupled Plasma–Mass Spectrometry with Microwave Assisted Digestion

Inductively coupled plasma–mass spectrometric determination of iron and phosphorus in three vegetable oils (soybean, coconut, and sunflower) was validated for the intermediate precision, trueness, linearity, and quantitation limit. The overall precision (n?=?5) for the analytes, which were above the method’s practical limit of quantification, were less than 2% relative standard deviation and the same as the laboratory control, NIST-SRM-1849a. Trueness was demonstrated with spike recoveries of the analytes in all vegetable oils at limit of quantification-level spiking. Although good linearity (regression coefficient greater than 0.9990) obtained, the recovery of phosphorus (156–189%) was high, possibly due to oil matrix enhancement, compared to the recovery of iron (91–106%). For soybean oil, sunflower oil, coconut oil, and medium chain triglycerides, the concentrations (mg/kg) of iron were in the range of 0.10–1.47, 0.09–1.51, 0.20–0.35, and 0.09–0.13, respectively. Similarly, phosphorus concentrations (mg/kg) were in the range of 0.77–124.56, 0.49–125.57, 0.52–9.72, and 0.85–11.90, respectively. The study achieved considerably low instrument-based practical limits of quantification for iron (0.005?mg/kg) and phosphorus (0.05?mg/kg), which are fivefold lower than the AOAC Official Method 2015.06. The high instrument sensitivity and selectivity of the method allow the determination of trace levels of iron and phosphorus in vegetable oils with good precision and trueness.     

电感耦合等离子体质谱法测定食用植物油中铅、总砷含量不确定度评定

采用电感耦合等离子体质谱法(ICP-MS)测定食用植物油中铅(Pb)、总砷(As)含量,对测定结果的不确定度进行评定。利用ICP-MS,采用标准加入法测定食用植物油中Pb,As含量,分析测定过程中不确定度来源,包括样品称量、定容、前处理、溶液中Pb和As浓度、重复性测量等引入的不确定度,计算合成不确定度。结果表明,Pb含量为(0.0228±0.013) mg/kg,k=2;As含量为(0.00785±0.0045) mg/kg,k=2。该方法的不确定度主要来源于样品溶液中的Pb,As浓度,评定得到的不确定度可为正确评价测定结果提供科学依据。     

Simultaneous determination of six synthetic phenolic antioxidants in edible oils using dispersive liquid–liquid microextraction followed by high‐performance liquid chromatography with diode array detection

A simple, rapid, organic‐solvent‐ and sample‐saving pretreatment technique, called dispersive liquid–liquid microextraction, was developed for the determination of six synthetic phenolic antioxidants from edible oils before high‐performance liquid chromatography with diode array detection. The entire procedure was composed of a two‐step microextraction and a centrifugal process and could be finished in about 5 min, only consuming only 25 mg of sample and 1 mL of the organic solvent for each extraction. The influences of several important parameters on the microextraction efficiency were thoroughly investigated. Recovery assays for oil samples were spiked at three concentration levels, 50, 100 and 200 mg/kg, and provided recoveries in the 86.3–102.5% range with a relative standard deviation below 3.5%. The intra‐day and inter‐day precisions for the analysis were less than 3.8%. The proposed method was successfully applied for the determination of synthetic phenolic antioxidants in different oil samples, and satisfactory results were obtained. Thus, the developed method represents a viable alternative for the quality control of synthetic phenolic antioxidant concentrations in edible oils.     

微波消解–石墨炉原子吸收光谱法测定84消毒剂中的痕量铅

建立了84消毒剂中痕量铅的微波消解–石墨炉原子吸收光谱测定方法。84消毒液以硝酸为消解试剂,用微波消解法进行消解。用2%磷酸二氢铵为基体改进剂,在优化后的仪器工作条件下测定。铅的质量浓度在0~80.0ng/mL范围内与吸光度呈良好的线性关系,线性相关系数r=0.999 3,方法检出限为0.005 4 mg/kg,平均回收率为94.66%,测定结果的相对标准偏差为1.87%(n=6)。该方法灵敏度与准确度高,可用于84消毒剂中痕量铅的检测。     

Preparation of conducting electrodes from biological samples for multi-element trace analysis by spark-source mass spectrometry or emission spectrometry

Four decomposition procedures frequently used for biological material (dry ashing, open wet digestion, wet digestion in a teflon bomb and low-temperature ashing) are optimized for the conversion of biological samples to conducting electrodes suitable for multi-element trace determinations by spark-source mass spectrometry or emission spectrometry. The optimized procedures are evaluated with respect to contamination, retention and preconcentration of the trace elements, homogeneity of the electrodes and precision of the final results. Both dry-ashing methods are prone to losses by volatilization; simple dry ashing suffers from contamination problems during electrode preparation. Wet digestion gives better precision; digestion with nitric/sulfuric acids in an open flask is the method of choice for most elements being simpler and giving lower blanks than the bomb method.     

非完全消化-火焰原子吸收光谱法测定杜仲叶中的微量元素

用非完全消化法处理杜仲叶,在低温下用浓硝酸消解样品,加入乳化剂Triton X-100(OP)溶解消化过程中所产生的油脂,获得均匀的样品乳浊液,取适量的乳浊液制成试液,用火焰原子吸收光谱法快速测定了样品中的微量元素,并对检出限、加标回收率进行了测定。结果表明,相对标准偏差小于2.1%,测定结果与灰化法一致,且相对误差小于±1.8%。用非完全消化法结合火焰原子吸收光谱法对杜仲叶进行预处理取代灰化法是可行的,且方法简便、准确。