同时测定食用植物油中抗氧剂叔丁基对羟基茴香醚和2，6－二叔丁基对甲酚的方法

报道了用高效液用色谱法同时测定食用植物油中的抗氧剂叔丁基对羟基茴香醚（ＢＨＡ）和２，６－二叔丁基对甲酚（ＢＨＴ）的实验方法。采用ＺｏｒｂａｘＯＤＳＣ_（１８）色谱住，甲醇：水（９０：１０，Ｖ／Ｖ）作流动相，检测波长为２４５ｎｍ，流速为１ｍＬ／ｍｉｎ。检测下限分别为１５ｎｇ（ＢＨＡ），９０ｎｇ（ＢＨＴ），回收率分别是９６．８％±９．８％（ＢＨＡ），９９．０％±３．２％（ＢＨＴ）。方法快速、准确，灵敏度高。     

紫外分光光度法测定蔬菜鲜样中的硝酸盐

建立了紫外分光光度法测定蔬菜鲜样中硝酸盐含量的方法，经t检验证明，该方法的测定结果与酚二磺酸法无显著性差异，RSD小于4．5％，方法操作简便，适用于蔬菜中硝酸盐含量的测定。     

GC/MS法快速测定食用植物油中脂肪酸含量

脂肪酸以甘油三酯的形式存在于植物油中,我们先用KOH-甲醇方法将它转化为甲酯,用正交设计法探索出最佳的酯交换条件,整个过程5分钟可完成。然后用GC/MS/MSD进行定性定量分析。测定了8种食用植物油中六种脂肪酸的含量。     

YDHC-10催化剂用于不饱和植物油脂肪酸氢化工艺条件的研究

采用自制的催化剂YDHC-10对氢化工艺条件进行了研究。找出了植物油脂肪酸氢化时,氢化压力2MPa、氢化温度180-200℃、氢化时间60min以及催化剂浓度对植物油脂肪酸氢化的影响．     

meso-四-(邻氯对磺酸苯基)卟啉分光光度法测定蔬菜中锌的研究

在溴化十六烷基三甲铵存在下,Zn2 与meso-四-(邻氯对磺酸苯基)卟啉生成配合物。其最大吸收波长为435 nm,表观摩尔吸光系数为1.25×105L.mol-1.cm-1,Zn2 含量在0~0.36μg/mL范围内符合比尔定律。方法用于蔬菜中锌的测定,获得了满意的结果。     

不同环境蔬菜中铅污染的研究

用原子吸收分光光度计石墨炉法分析了公路附近的蔬菜中铅的含量。结果表明,蔬菜中铅的含量还与其距离公路的远近有关,蔬菜与空气接触程度也有关;不同种类蔬菜中的铅污染有差异。     

洛阳市郊区叶菜中重金属含量抽样分析及评价

为了研究洛阳市郊区蔬菜中重金属污染状况,采用火焰原子吸收法对郊区李楼乡和孙旗屯乡抽取的叶菜样品中重金属Cu、Zn、Pb、Cd含量进行了测定。结果表明,8个蔬菜样品中Cu含量在0.393 9～0.970 7 mg/kg之间,Zn含量在1.395 0～10.080 0 mg/kg之间,均未超过国家蔬菜卫生限量标准;Pb含量在0.100 0～0.248 6 mg/kg之间,其中有3个样品Pb含量超出国家蔬菜卫生限量标准;Cd含量有5个样品未检出,其余3个样品也不超国标。经用单因子和综合因子污染指数评价,洛阳市郊区叶菜类蔬菜重金属污染大部分已处于警戒级到轻度污染,因此,应加强蔬菜中重金属污染的预防与治理工作。     

Kinetic Spectrophotometric Determination of Oxalic Acid Based on the Catalytic Oxidation of Bromophenol Blue by Dichromate

 A sensitive catalytic method is developed for the spectrophotometric determination of oxalic acid. It is based on the catalytic action of oxalic acid on a new indicator reaction – the oxidation of Bromophenol Blue by dichromate in dilute sulfuric acid medium. The reaction rate is monitored spectrophotometrically by measuring the absorbance at 600 nm after quenching the reaction with sodium hydroxide. A calibration graph from 0.1 to 8.0 μg mL⁻¹ of oxalic acid and a detection limit of 0.04 μg mL⁻¹ was obtained. The applicability of this method was demonstrated by the determination of oxalic acid in water extracts from vegetables such as spinach, mushrooms and fresh kidney beans. Received October 18, 1999. Revision June 14, 2000.     

Application of fuzzy optimization to a supply chain network design: A case study of an edible vegetable oils manufacturer

This study applies fuzzy sets to integrate the supply chain network of an edible vegetable oils manufacturer. The proposed fuzzy multi-objective linear programming model attempts to simultaneously minimize the total transportation costs. The first part of the total transportation costs is between suppliers and silos; and rest one is between manufacturer and warehouses. The approach incorporates all operating realities and actual flow patterns at production/distribution network with reference to demands of warehouses, capacities of tin and pet packaging lines. The model has been formulated as a multi objective linear programming model where data are modeled by triangular fuzzy numbers. Finally, the developed fuzzy model is applied for the case study, compiled the results and discussed.     

Characterization of Polyurethanes from Vegetable Oils by TG/DTG,DMA and FT-IR

Summary: Given the demand for renewable resources by industries and the promising potential of vegetable oils for this purpose, the current study aims to evaluate the properties of polyurethanes (PUs) obtained from linseed (Linum usitatissimun L.) oil (PULO) and passion fruit (Passiflora edulis Sims f. flavicarpa Degener) oil (PUPFO), by thermogravimetry (TG), derivative thermogravimetry (DTG), dynamic mechanical analysis (DMA) and Fourier transform infrared (FT-IR). The results showed that PULO is more thermally stable than PUPFO, suggesting that the first presents more urethane linkages. The DMA analysis showed that both prepared PUs have uneven porosity, causing the loss of the elastic plateau. It was found as well that PUPFO exhibits a higher value of glass transition temperature (T_g), signifying that it seems to be more crosslinked than PULO. The analysis by FT-IR showed that the curing reaction of PUs was successful.