Fatty acid composition and tocopherol profiles of safflower (Carthamus tinctorius L.) seed oils

The oil contents of safflower seeds ranged from 23.08% to 36.51%. The major fatty acid of safflower oil is linoleic acid, which accounted for 55.1–77.0% in oils, with a mean value of 70.66%. Three types of tocopherols were found in safflower oil in various amount α-tocopherol, β-tocopherol and γ-tocopherol, ranged from 46.05 to 70.93 mg/100 g, 0.85 to 2.16 mg/100 g and trace amount to 0.45 mg/100 g oils, respectively. This research shows that both fatty acid and tocopherol contents differ significantly among the safflowers.     

火焰原子吸收光谱法测定红花中的Cu、Fe、Zn

采用火焰原子吸收光谱法和表面增敏的方法测定了红花中Cu、Fe、Zn的含量。实验表明,使用表面活性剂十二烷基硫酸钠(SDS),可使Zn的吸光度增感34.91%,使Cu增感37.39%,Fe增感232.10%。该法的检测限分别为Zn1.85×10-3μg/mL;Fe1.50×10-2μg/mL;Cu3.50×10-2μg/mL,加标回收率在99.37%~104.23%之间。该法灵敏度高,结果准确,可用于红花等中草药中Cu、Fe、Zn的同时测定。     

无溶剂及微乳液体系中脂肪酶催化红花油水解的动力学

 在无溶剂及二(2-乙基己基)丁二酸酯磺酸钠(AOT)/异辛烷/磷酸盐缓冲液微乳液体系中,研究了黑曲霉脂肪酶催化红花油水解反应的动力学. 结果表明,无溶剂及微乳液体系中反应的活化能分别为32.205和7.391 kJ/mol. 酶在无溶剂体系中的热稳定性高于微乳液中. 无溶剂及微乳液体系中的表观米氏常数分别为0.135和0.101 mol/L. 在两种体系中,乙醇对水解反应的抑制作用均为竞争性可逆抑制,且均在底物浓度大于0.819 mol/L时出现底物抑制现象. 结合胶团催化理论和酯键水解机理对两种体系中酶水解性能的差异进行了解释.     

Analysis and evaluation of nucleosides,nucleobases, and amino acids in safflower from different regions based on ultra high performance liquid chromatography coupled with triple‐quadrupole linear ion‐trap tandem mass spectrometry

Safflower has both medicinal and edible values but research on its nutrient composition is still lacking. This study was established for the quantitative determination of 28 nucleosides, nucleobases, and amino acids based on the ultra‐performance liquid chromatography coupled with triple‐quadrupole linear ion‐trap tandem mass spectrometry. Analysis of 30 batches of safflower from different producing areas indicated that the contents of l ‐proline, l ‐asparagine, l (+)‐arginine, l ‐serine, l ‐histidine, uracil, guanosine, and uridine was high in safflower. Principle component analysis and cluster analysis found that samples from different regions could be distinguished well, and samples from the same area could be clustered into one class, different geographical environments may cause the differences of nucleosides, nucleobases, and amino acids in safflower. The analysis of principal component analysis, cluster analysis, and counter propagation artificial neural network show similar results. Then the content of nucleosides, nucleobases, and essential amino acids were compared, and found that the content in safflower from Gansu was higher than those from other regions, and there was a little difference between the samples from Xinjiang, Sichuan, and Yunnan. This research revealed the composition of nucleosides, nucleobases, and amino acids in safflower, and provided a theoretical basis for utilization of safflower.     

温度对红花抗氧化活性的影响

红花(Carthamus tinctorius L．)在100℃时。加热不同的时间2，6。15，21，30h。测定其红外漫反射光谱。图谱表明。加热可能使红花中某些化学成分的结构发生了变化。进一步比较加热前后红花水提物及乙醇提取物对超氧自由基。DPPH自由基的清除作用。结果进一步表明，加热使红花某些活性成分的结构发生了变化。而使其抗氧化活性受到较大影响。     

无溶剂体系中脂肪酶催化红花油水解反应

无溶剂体系中脂肪酶催化红花油水解反应;水解;红花油;无溶剂体系;脂肪酶     

红花中红花黄色素含量的反相高效液相色谱测定

本文分离纯化了红花（Carthamus tinctorius L）中Safflower yellow A，Safflomin A，Safflower yellow B，Safflomin C四种红花黄色素，并用所纯化的红花黄色素做标准品，用反相高效液相色谱法，梯度洗脱，同时测定了不同产地红花中四种红花黄色素的含量。该方的法准确度高，重现性好。     

基于粒子群算法的最小二乘支持向量机在红花提取液近红外定量分析中的应用

提出一种基于粒子群算法的最小二乘支持向量机(PSO-LS-SVM)方法,用于建立红花提取过程关键质控指标的定量分析模型.近红外光谱数据经波段选择、预处理和主成分分析(降维)后,利用粒子群优化(PSO)算法对最小二乘支持向量机算法中的参数进行优化,然后使用最优参数建立固含量和羟基红花黄色素A(HSYA)浓度的定量校正模型.将校正结果与偏最小二乘法回归(PLSR)和BP神经网络(BP-ANN)比较,并将所建的3个模型用于红花提取过程未知样本的预测.结果表明,BP-ANN校正结果优于PSO-LS-SVM和PLSR,但是对验证集和未知样品集的预测能力较差,而PSO-LS-SVM和PLSR模型的校正、验证结果相近,相关系数均大于0.987,RMSEC和RMSEP值相近且小于0.074,RPD值均大于6.26,RSEP均小于5.70％.对于未知样品集,pSO-LS-SVM模型的RPD值大于8.06,RMSEP和RSEP值分别小于0.07％和5.84％,较BP-ANN和PLSR模型更低.本研究所建立的PSO-LS-SVM模型表现出较好的模型稳定性和预测精度,具有一定的实践意义和应用价值,可推广用于红花提取过程的近红外光谱定量分析.     

红花黄色素提取工艺的研究

以药典规定的水溶性黄色素吸收度为检测指标,考察了红花黄色素的最佳水提提取工艺。研究结果表明,影响红花黄色素提取量的条件由大到小顺序为:提取次数,水用量,提取时间,其中以提取次数影响最大。最佳提取工艺为:采用16倍水,每次提取时间1 h,3次后提取基本完全。     

Identification of Curcuma and Safflower Dyes by Voltammetry of Microparticles Using Paraffin-Impregnated Graphite Electrodes

Electrochemical identification of natural insoluble curcuma and safflower dyes in microsamples usable for microchemical examination of works of art and archaeological artifacts via solid state voltammetry is described. Upon attachment to paraffin-impregnated graphite electrodes in contact with aqueous acetate and phosphate buffers, curcuma and safflower yield well-defined square wave voltammetric responses with well-defined oxidation peaks in the potential region of +0.65–+0.25 V vs. AgCl/Ag allowing for unambiguous identification of such dyes in microsamples.