浅谈黄曲霉毒素测定仪的检定

介绍黄曲霉毒素测定仪的检定设备、检定环境条件、检定项目及检定方法。     

总磷测定仪校准方法

建立总磷测定仪的校准方法。介绍了总磷测定仪的工作原理。总磷测定仪的校准包括温度示值误差和温场均匀性、消解时间示值误差、仪器示值误差、测量重复性、示值稳定性5个项目。利用实验数据确定了总磷测定仪的技术指标:温度示值误差不超过±2℃,温场均匀性不大于3℃,消解时间示值误差为不超过±2%,仪器示值误差为不超过±10%,仪器重复性为不大于5%,示值稳定性为不超过±8%FS。该方法可用于总磷测定仪的校准,保证测量数据的准确可靠。     

直接进样汞镉测定仪校准方法

建立直接进样汞镉测定仪的校准方法.参考直接进样汞镉测定仪的工作原理、出厂指标及相关检测标准,对直接进样汞镉测定仪的计量性能进行探讨,直接进样汞镉测定仪的主要校准项目包括线性相关系数、检出限和测量重复性,参考指标为线性相关系数不小于0.995,汞元素的检出限不大于0.02 ng,镉元素的检出限不大于0.1 ng,测量重复...     

高效液相色谱法测定花生中黄曲霉毒素

本文报导了用高效液相色谱－荧光检测法测定了花生中黄曲霉毒素的方法，并做了回收验证。实验证明本法具有灵敏度高，分离能力强，测试结果准确可靠，色谱条件，ＲＰ１８柱，甲醇四氢呋喃水溶液作流动相，流速１ｍＬ／ｍｉｎ。     

高效液相色谱串联质谱法检测腰果中黄曲霉毒素

建立了腰果中4种黄曲霉毒素的高效液相色谱-串联质谱检测方法(HPLC-MS/MS)。样品用甲醇-水(8:2, v/v)溶液提取后用弗罗里硅土柱净化,5 mL丙酮-水-甲酸溶液(96:3.5:0.5, v/v/v)洗脱,氮吹至干,1 mL甲醇定容;在资生堂MG C18色谱柱(100 mm×3.0 mm, 3 μm)上梯度洗脱分离,然后采用电喷雾离子化三重四极杆串联质谱测定。实验结果表明,4种黄曲霉毒素在各自的线性范围内峰面积与其质量浓度线性关系良好,相关系数(r2)大于0.997;检出限(信噪比为3)为0.009～0.04 μg/kg,定量限(信噪比为10)为0.03～0.12 μg/kg;平均回收率为63.0%～78.5%,相对标准偏差为2.8%～9.1%,均符合痕量分析的要求。评价了基质效应,信号抑制/增强值为88.8%～99.4%,说明净化后的基质效应较小。该方法简单快速、准确可靠,可用于腰果中黄曲霉毒素的检测。     

石油产品酸值测定仪校准方法

通过分析石油产品酸值测定仪工作原理,参考相应的国家技术规范,建立石油产品酸值测定仪的校准方法。使用酸值(以KOH计)为(0.11±0.03) mg/g的酸值标准物质对以颜色指示剂法为原理的石油产品酸值测定仪进行校准,设定校准项目:示值误差为–0.01 mg/g;重复性为0.02 mg/g。对石油产品酸值测定仪示值误差测量结果的不确定度进行评定,扩展不确定度为0.04 mg/g(k=2)。该校准方法计量特性满足校准要求,可用于评价石油产品酸值测定仪的性能。     

液相色谱-串联质谱法测定动物肝脏中黄曲霉毒素

建立了动物肝脏中黄曲霉毒素G2、G1、B2、B1的高效液相色谱-串联质谱检测方法。样品经体积比为84∶16的乙腈-水溶液提取,离心后通过真菌毒素多功能净化柱,净化液氮气吹干,用流动相定容,采用C18柱分离,10mmol/L的甲酸铵溶液和甲醇作为流动相,以50∶50比例等度洗脱,在多重反应监测(MRM)正离子模式下进行分析。各组分在9min内完全分离,方法线性关系良好,黄曲霉毒素G2、G1、B2、B1的检出限分别为0.030、0.026、0.016、0.027μg/kg,三个加标水平下平均回收率在81%～98%之间,相对标准偏差小于2%。该方法简便快速,准确可靠,可用于动物肝脏中黄曲霉毒素的测定。     

黄曲霉毒素检测方法研究

介绍了目前国内外对黄曲霉毒素的一些检测方法,包括薄层色谱法、高效液相色谱法、溴化荧光分光光度法、免疫分析法、微柱法,并对这些方法的优缺点进行了比较。对黄曲霉毒素的测定提出了一种较快速、简单的方法。     

基于光学法的化学需氧量实时测定仪校准方法

针对一种基于光学法的化学需氧量实时测定仪,提出了一种校准方法.其校准项目与技术指标包括示值误差不大于10％,重复性不大于3％,示值稳定性不超过10％.对仪器示值误差测量结果不确定度进行评定,得到相对扩展不确定Urel=2％(k=2).采用有证标准物质或配制成系列浓度的化学需氧量标准溶液进行校准,将化学需氧量实时测定仪的...     

石油产品微量残炭测定仪的校准

通过分析石油产品微量残炭测定仪的工作原理,参考相应的国家技术规范,建立石油产品微量残炭测定仪的校准方法,提出了示值误差、重复性等校准项目。采用残炭值为2.03%的油品残炭标准物质对石油产品微量残炭测定仪进行校准,其示值误差为0.04%,重复性为0.03%,对石油产品微量残炭测定仪示值误差测量结果的不确定度进行了评定,其扩展不确定度为0.15%(k=2)。该校准方法切实可行,可用于石油产品微量残炭测定仪的校准。     

在线式红外分光测油仪的校准

建立在线式红外分光测油仪的校准方法。在线式红外分光测油仪的校准主要包括绝缘电阻、示值误差、重复性、漂移和最小检出浓度等项目。通过分析实验数据,测量范围不大于10 mg/L时,示值误差不超过±0.8 mg/L;测量范围大于10 mg/L时,示值相对误差不超过±8%;重复性不大于2%;零点漂移不超过±0.5 mg/L,示值漂移不超过±5%;最小检出浓度不大于0.5 mg/L,仪器的计量性能正常。据此对影响仪器性能的各个参数进行全面评价,确认各项指标控制在合理范围内。该校准方法切实可行,可用于在线式红外分光测油仪的校准。     

Sorbents for liquid chromatography based on the footprint principle

Summary The possibility of synthesizing normal-phase chromatographic sorbents with selectivity and specificity for an organic compound was investigated using two approaches. The generation of footprints, imprinted adsorption sites reflecting the shape of an added template molecule, was attempted by imprinting aluminum ion-doped silica gel and by modifying silica gel with diazomethane. In both cases phenanthrene was used as template molecule. Surprisingly, the diazomethane-modified silica gels showed a stronger retention for all polycyclic aromatic compounds than unmodified silica up to a carbon load of ca. 1.5%. The different gels synthesized according to the first principle showed somewhat different selectivity towards various polycyclic aromatic compounds. In neither case was a specificity toward phenanthrene observable.     

Validation according to European Commission Decision 2002/657/EC of a confirmatory method for aflatoxin M1 in milk based on immunoaffinity columns and high performance liquid chromatography with fluorescence detection

A high performance liquid chromatographic method with fluorimetric detection for the determination of aflatoxin M₁ (AFM₁) in milk has been optimized and validated according to Commission Decision 2002/657/EC by using the conventional validation approach. The procedure for determining selectivity, recovery, precision, decision limit (CC_α), detection capability (CC_β) and ruggedness of the method has been reported. The results of the validation process demonstrate the agreement of the method with the provisions of Commission Regulation 401/2006/EC. The mean recovery calculated at three levels of fortification (0.5, 1.0, and 1.5-fold the MRL) was 91% and the maximum relative standard deviation value for the within-laboratory reproducibility was 15%. Limit of detection (LOD) and limit of quantitation (LOQ) values were 0.006 μg kg⁻¹ and 0.015 μg kg⁻¹ while the CC_α and CC_β values were 0.058 μg kg⁻¹ and 0.065 μg kg⁻¹, respectively. The relative expanded measurement uncertainty of the method was 7%. The method was not affected by slight variations of some critical factors (ruggedness minor changes) as pre-treatment and clean-up of milk samples, thermal treatment and different storage conditions, as well as by major changes valued in terms of milk produced by different species (buffalo, goat and sheep). The method allowed accurate confirmation analyses of milk samples, resulted positive by the screening method. In fact, the Z-score values attained in a proficiency test round were well below the reference value of 1, proving the excellent laboratory performances.     

Using second-order calibration method based on trilinear decomposition algorithms coupled with high performance liquid chromatography with diode array detector for determination of quinolones in honey samples

A novel strategy that combines the second-order calibration method based on the trilinear decomposition algorithms with high performance liquid chromatography with diode array detector (HPLC-DAD) was developed to mathematically separate the overlapped peaks and to quantify quinolones in honey samples. The HPLC-DAD data were obtained within a short time in isocratic mode. The developed method could be applied to determine 12 quinolones at the same time even in the presence of uncalibrated interfering components in complex background. To access the performance of the proposed strategy for the determination of quinolones in honey samples, the figures of merit were employed. The limits of quantitation for all analytes were within the range 1.2-56.7 μg kg⁻¹. The work presented in this paper illustrated the suitability and interesting potential of combining second-order calibration method with second-order analytical instrument for multi-residue analysis in honey samples.     

Metrological Assurance of Biodevices: The New Method of Calibration of Biochemical Analyzers

Abstract

Medical diagnostics and therapy use an extensive amount of electronics, optoelectronics, and laser devices. For their reliable functioning, calibration is unavoidable. Biochemical analyzers, which work on principles of absorptional spectrophotometry, became most widely present in medical biochemical laboratories. Construction of these devices is such, that in most cases, it does not allow calibration by usual methods, using neutral density (ND) filters as standards. For this reason, it was necessary to create a solution that could be used as a mean of comparison or even as a standard solution for methods of calibration of biochemical analyzers. In this article, the metrological characterization of solutions that are developed is presented, and the measuring uncertainty (ISO 1993) of methods used for calibration is estimated.

The method that is developed provides metrological traceability to the primary spectrophotometric standard. With this method, metrological assurance in the field of the spectrophotometry in medical laboratories is completed.     

高效液相色谱-串联质谱法检测花生中的黄曲霉毒素B_1

应用高效液相色谱-电喷雾串联四极杆质谱联用系统(HPLC-MS/MS),在多反应离子检测方式(MRM)下,对花生中的黄曲霉毒素B1进行检测.对花生中黄曲霉毒素B1的提取、净化、液相分离及串联质谱等相关检测参数进行了优化研究.用V(甲醇):V(水)=6:4提取,OASIS HLB SPE小柱净化,定容过滤.采用V(甲醇):V(水)(含体积分数0.1%甲酸)=7:3为流动相,前级离子313.0,二级离子241.1、269.1,ESI正离子方式检测,在3.3 min出峰.结果表明,在ESI正离子模式下,黄曲霉毒素B1在其线性定量范围0.1～50μg/kg内,相关系数达到0.9999,检出限为0.03μg/kg,最低定量限为0.1μg/kg.低、中、高浓度添加回收率范围为93%～105%.     

高效液相色谱-串联质谱法测定山茶油中黄曲霉毒素B1

建立了山茶油中黄曲霉毒素B1含量的高效液相色谱-串联质谱分析方法。通过对前处理方法的优化,选择了甲醇和水作为山茶油中黄曲霉毒素B1的提取溶剂,经免疫亲和柱富集浓缩后,采用高效液相色谱-串联质谱进行分析,经C18色谱柱分离,在电喷雾离子化正离子模式(ESI+)及多反应监测模式(MRM)下进行测定,基质匹配标准溶液外标法定量。在优化条件下,该方法线性范围为0.4～6.4μg/L,相关系数r2>0.998,最低检出限为0.026μg/kg,在添加水平为0.008,0.016和0.032μg时,方法回收率在85.9%～93.8%之间;相对标准偏差为1.8%～5.0%。方法可满足山茶油中黄曲霉毒素B1的检测要求。     

基于遗传算法优化的约束背景双线性分解算法用于改进高效液相色谱灰色分析体系的校正结果

该文采用约束背景双线性分解算法(CBBL)对以高效液相色谱(HPLC)方法分离分析的灰色分析体系进行了多元校正研究。针对采用包括CBBL在内的矩阵校正方法处理HPLC灰色分析体系的固有缺陷,即在相关组分的色谱保留时间重现性较低的情形下多元校正的结果不理想,对CBBL方法进行了改进,即将待测组分的浓度与组分的色谱保留时间同时作为优化的参量引入CBBL,并采用遗传算法(GA)优化CBBL,对于模拟的组分保留时间飘移严重的HPLC灰色分析体系及保留时间重现性不佳的多种酚类化合物组成的实际HPLC灰色分析体系进行了多元校正分析,成功克服了经典CBBL的固有缺陷,取得了较理想的多元校正结果。另外,该研究所建议的方法的校正结果也显著优于传统的残差双线性分解法(RBL)以及秩消失因子分析法(RAFA)。