Optimization of enzymatic production of biodiesel from castor oil in organic solvent medium

We studied the production of fatty acid ethyl esters from castor oil using n-hexane as solvent and two commercial lipases, Novozym 435 and Lipozyme IM, as catalysts. For this purpose, a Taguchi experimental design was adopted considering the following variables: temperature (35–65°C), water (0–10 wt/wt%), and enzyme (5–20 wt/wt%) concentrations and oil-to-ethanol molar ratio (1∶3 to 1∶10). An empirical model was then built so as to assess the main and cross-variable effects on the reaction conversion and also to maximize biodiesel production for each enzyme. For the system containing Novozym 435 as tatalyst the maximum conversion obtained was 81.4% at 65°C, enzyme concentration of 20 wt/wt%, water concentration of 0 wt/wt%, and oil-to-ethanol molar ratio of 1∶10. When the catalyst was Lipozyme IM, a conversion as high as 98% was obtained at 65°C, enzyme concentration of 20 wt/wt%, water concentration of 0 wt/wt%, and oil-to-ethanol molar ratio of 1∶3.     

武威市腌菜中亚硝基化合物的测定及其胃癌高发原因的分析

针对武威市胃癌高发的现状，应用高效毛细管电泳法(HPCE)和气相色谱法分别测定了当地居民冬季的蔬菜代用品-腌菜中的硝酸盐、亚硝酸盐以及二甲基亚硝胺、二乙基亚硝按．测定结果如下：当地各种腌菜全部检出硝酸盐、亚硝酸盐．其中40份腌菜中的硝酸盐的最高含量为6．1785g/kg，检出率为100％；亚硝酸盐的最高含量为0．1445g/kg，检出率为65％-75％；20份腌菜中的二甲基亚硝胺(NDMA)的最高含量为47．78μg/kg，检出率为60％-70％；二乙基亚硝胺(NDEA)的最高含量为36．32μg/kg，检出率为45％-65％、而且经常食用腌莱人群的胃液中的硝酸盐和亚硝酸盐含量均明显高于不常食用者、试验数据显示，腌菜中亚硝基化合物含量较高，武威市胃癌高发的原因可能与进食腌菜有关。     

正化学源-气相色谱-质谱法测定食用植物油中有机锡化合物残留

建立了正化学源-气相色谱-质谱技术测定食用植物油中有机锡化合物残留的方法。食用油样品经环己烷-乙酸乙酯（1：1，v/v）溶解后，经凝胶渗透色谱（GPC）净化，目标馏分用四乙基硼酸钠进行衍生。采用基质校正曲线外标法定量，在20~2000 μg/L范围内，7种有机锡化合物均呈现良好的线性关系，相关系数大于0.99，定量限为0.3~1.2 μg/kg。对芝麻油样品进行加标回收试验，在0.05、0.10、0.20 mg/kg 3个添加水平下，7种有机锡化合物的平均回收率为66.2%~103.2%，相对标准偏差均小于11.5%。该方法精密度好，灵敏度高，可用于食用植物油中有机锡化合物残留量的测定。     

水果蔬菜中多种杀菌剂的基质固相分散液相色谱测定方法研究

采用基质固相分散(MSPD)代替液液分配和固相萃取,从蔬菜水果中提取、净化10种常用杀菌剂农药残留,用C18硅胶交联剂作为固相吸附剂,乙酸乙酯作为洗脱液,用HPLC/PDA和LC-MS进行分析检测。10种杀菌剂在0.5~5 mg/kg含量的添加回收率在65%~110%之间,相对标准偏差小于10%,使用HPLC、PDA和LC-MS的检出限分别在0.02~0.2 mg/kg和0.002~0.01 mg/kg之间。该方法节省溶剂,提取和净化一步完成,适用于新鲜水果和蔬菜中10种杀菌剂的残留分析。     

Results of a European inter-laboratory comparison study on the determination of EU priority polycyclic aromatic hydrocarbons (PAHs) in edible vegetable oils

A collaborative study on the analysis for 15 + 1 EU priority PAHs in edible oils was organised to investigate the state-of-the-art of respective analytical methods. Three spiked vegetable oils, one contaminated native sunflower oil, and one standard solution were investigated in this study. The results of 52 laboratories using either high-performance liquid chromatography with fluorescence detection or gas chromatography with mass-selective detectors were evaluated by application of robust statistics. About 95% of the laboratories were able to quantify benzo[a]pyrene together with five other PAHs included in the commonly known list of 16 US-EPA PAHs. About 80% of the participants also quantified seven additional PAHs in most samples, two of which were benzo[b]fluoranthene and benzo[k]fluoranthene, which were also known from the EPA list. Only about 50% of the participants quantified cyclopenta[cd]pyrene, benzo[j]fluoranthene, and benzo[c]fluorene. The robust relative standard deviations of the submitted results without discrimination between the methods applied ranged between 100% for 5-methylchrysene in spiked olive oil and 11% for the same analyte in spiked sunflower oil. The results clearly showed that for these analytes the methods of analysis are not yet well established in European laboratories, and more collaborative trials are needed to promote further development and to improve the performances of the respective methods.     

溶剂提取原子荧光光谱法测定药用植物油中砷

通过样品消解、工作条件等优化，利用氢化物原子荧光光谱法测定药用植物油中砷的含量。方法回收率为97．6％，相对标准偏差为3．5％。方法操作简单，结果稳定可靠。     

流动注射-导数火焰原子吸收光谱测定植物油中的镍、锰、铬和铅

提出了流动注射－导数火焰原子吸收光谱测定植物油中微量镍、锰、铬和铅的新方法，流动注射进样技术克服了常规火焰原子吸收法耗样量大和基体干扰严重的缺点，导数技术应用于火焰原子吸收可提高方法的灵敏度和信号的选择性，流动注射与导数技术相结合应用于火焰原子吸收成功地测定了常规火焰原子吸收法和流动注射－火焰原子吸收法难以测定的植物油中微量镍、锰、铬和铅。镍、锰、铬和铅的特征浓度（μg/mL)，分别为0.0054、0.0034、0.0067、0.025，相对标准偏差在0.3%-2.8%的范围内。     

Authentication of vegetable oils on the basis of their physico-chemical properties with the aid of chemometrics

In food production, reliable analytical methods for confirmation of purity or degree of spoilage are required by growers, food quality assessors, processors, and consumers. Seven parameters of physico-chemical properties, such as acid number, colority, density, refractive index, moisture and volatility, saponification value and peroxide value, were measured for quality and adulterated soybean, as well as quality and rancid rapeseed oils. Chemometrics methods were then applied for qualitative and quantitative discrimination and prediction of the oils by methods such exploratory principal component analysis (PCA), partial least squares (PLS), radial basis function-artificial neural networks (RBF-ANN), and multi-criteria decision making methods (MCDM), PROMETHEE and GAIA.In general, the soybean and rapeseed oils were discriminated by PCA, and the two spoilt oils behaved differently with the rancid rapeseed samples exhibiting more object scatter on the PC-scores plot, than the adulterated soybean oil. For the PLS and RBF-ANN prediction methods, suitable training models were devised, which were able to predict satisfactorily the category of the four different oil samples in the verification set. Rank ordering with the use of MCDM models indicated that the oil types can be discriminated on the PROMETHEE II scale. For the first time, it was demonstrated how ranking of oil objects with the use of PROMETHEE and GAIA could be utilized as a versatile indicator of quality performance of products on the basis of a standard selected by the stakeholder. In principle, this approach provides a very flexible method for assessment of product quality directly from the measured data.     

抑制型离子色谱法测定蔬菜中的NO_2~-和NO_3~-

用抑制型离子色谱法定量测定了NO2-和NO3-.两种阴离子在最佳色谱条件下,8 m in内达到基线分离.对于NO2-,检出限为0.002 mg/L,相对标准偏差为2.58%,线性范围0.2 mg/L~20 mg/L,相关系数0.999 6.对于NO3-,检出限为0.011 mg/L,相对标准偏差为2.01%,线性范围0.3 mg/L~30 mg/L,相关系数0.999 2.该法用于蔬菜中NO2-和NO3-的测定,结果良好.     

Melamine detection by mid- and near-infrared (MIR/NIR) spectroscopy: a quick and sensitive method for dairy products analysis including liquid milk, infant formula, and milk powder

Melamine (2,4,6-triamino-1,3,5-triazine) is a nitrogen-rich chemical implicated in the pet and human food recalls and in the global food safety scares involving milk products. Due to the serious health concerns associated with melamine consumption and the extensive scope of affected products, rapid and sensitive methods to detect melamine's presence are essential. We propose the use of spectroscopy data-produced by near-infrared (near-IR/NIR) and mid-infrared (mid-IR/MIR) spectroscopies, in particular—for melamine detection in complex dairy matrixes. None of the up-to-date reported IR-based methods for melamine detection has unambiguously shown its wide applicability to different dairy products as well as limit of detection (LOD) below 1 ppm on independent sample set. It was found that infrared spectroscopy is an effective tool to detect melamine in dairy products, such as infant formula, milk powder, or liquid milk. ALOD below 1 ppm (0.76 ± 0.11 ppm) can be reached if a correct spectrum preprocessing (pretreatment) technique and a correct multivariate (MDA) algorithm—partial least squares regression (PLS), polynomial PLS (Poly-PLS), artificial neural network (ANN), support vector regression (SVR), or least squares support vector machine (LS-SVM)—are used for spectrum analysis. The relationship between MIR/NIR spectrum of milk products and melamine content is nonlinear. Thus, nonlinear regression methods are needed to correctly predict the triazine-derivative content of milk products. It can be concluded that mid- and near-infrared spectroscopy can be regarded as a quick, sensitive, robust, and low-cost method for liquid milk, infant formula, and milk powder analysis.