超声萃取-高效液相色谱法同时测定人造革中7种苯并三唑类紫外线吸收剂含量

建立了超声萃取-高效液相色谱法(HPLC)同时测定人造革中7种苯并三唑类紫外线吸收剂UV-P、UV-326、UV-327、UV-329、UV-350、UV-320和UV-328含量的方法。该方法以甲醇为萃取溶剂,超声萃取人造革中的苯并三唑类紫外线吸收剂,萃取液经处理后直接进行HPLC分析,外标法定量。在信噪比(S/N)=3的条件下,UV-P、UV-326、UV-327、UV-329、UV-350的检出限均为0.05mg/kg,UV-320、UV-328的检出限均为0.10 mg/kg。在3个不同加标浓度水平下,各组分的平均加标回收率为88.19%~98.32%,相对标准偏差(RSD)为0.61%~3.74%。该方法简便快捷、灵敏度高,可用于人造革中苯并三唑类紫外线吸收剂的测定。采用该方法对市售人造革样品进行测定,结果在6个样品中检出了不同浓度水平的UV-P和UV-329。     

A hydrated amorphous iron oxide nanoparticle as active water oxidation catalyst

Developing efficient water oxidation catalysts (WOCs) with earth-abundant elements still remains a challenging task for artificial photosynthesis. Iron-based WOC is a promising candidate because it is economically cheap, little toxic and environmentally friendly. In this study, we found that the catalytic water oxidation activity on amorphous iron-based oxide/hydroxide (FeO_x) can be decreased by an order of magnitude after the dehydration process at room temperature. Thermogravimetric analysis, XRD and Raman results indicated that the dehydration process of FeO_x at room temperature causes the almost completely loss of water molecule with no bulk structural changes. Based on this finding, we prepared hydrated ultrasmall (ca. 2.2 nm) FeO_x nanoparticles of amorphous feature, which turns out to be extremely active as WOC with turnover frequency (TOF) up to 9.3 s^?1 in the photocatalytic Ru(bpy)₃²⁺-Na₂S₂O₈ system. Our findings suggest that future design of active iron-based oxides as WOCs requires the consideration of their hydration status.     

去甲氯胺酮半抗原及其全抗原的合成与鉴定

在低温条件下,去甲氯胺酮与琥珀醛酸反应,合成了半抗原羧基-去甲氯胺酮,电喷雾质谱鉴定结果表明,目标半抗原合成成功;通过碳二亚胺法将半抗原与载体蛋白偶联制备人工抗原,红外光谱法鉴定结果表明,人工抗原合成成功,基质辅助激光解析电离飞行时间质谱鉴定表明去甲氯胺酮半抗原与牛血清白蛋白的偶联比为11:1。经动物免疫,获得高效价特异性多克隆抗体,抗血清效价可达5.12×104。     

Synthesis of oligo(p-phenylene)-linked dyads containing free base, zinc(II) or thallium(III) porphyrins for studies in artificial photosynthesis

A series of (p-phenylene)_n-linked meso-mesityl-substituted porphyrin dyads (n=2-4) was prepared via Suzuki coupling of zinc(II) and free base porphyrin building blocks. The resulting zinc(II)/free base porphyrin dyads were demetalated. The series of free base porphyrin dimers (n=1-4), four other porphyrin dimers (with p-phenylene, diphenylethyne or diphenylbutadiyne linkers; and aryl or tridec-7-yl meso substituents), and several benchmark monomers were converted to the thallium(III)chloride complexes under mild conditions. The collection of eight Tl(III)Cl/Tl(III)Cl dimers is designed for studies of ground-state hole-transfer processes and comparison with the excited-state energy- and hole-transfer processes of the corresponding Zn(II)/free base dyads. Altogether, 18 new porphyrin arrays and benchmark monomers have been prepared.     

人造玫瑰花花瓣的微结构分布与水滴黏附性质的关系

本文采用模板印刷法制备得到了“人造玫瑰花花瓣”,即具有玫瑰花花瓣结构的PDMS薄膜,通过对该薄膜逐级拉伸改变微观结构的分布;采用环境扫描电镜（ESEM）观察了不同拉伸程度下薄膜表面微观结构的变化,采用高敏感性微电力学天平测试了样品表面微观结构变化过程中水滴的粘附力,分析了微观结构分布与水滴粘附性质的关系;采用接触角测量仪表征不同拉伸条件下薄膜的浸润性.实验结果表明随着PDMS薄膜被逐次拉伸,单位面积内玫瑰花花瓣乳突的数目减少,纳米褶皱面积不断增加,而纳米级褶皱结构尺寸随着拉伸基本上不发生变化,直到样品破坏;与微观结构变化相对应的,该表面对水滴的粘附力先增大后减小,直到该表面彻底破坏.由此可见,微米结构及纳米结构的分布是影响玫瑰花花瓣对水滴粘附的主要因素.     

NIR and UV-vis spectroscopy, artificial nose and tongue: Comparison of four fingerprinting techniques for the characterisation of Italian red wines

Four rapid and low-cost vanguard analytical systems (NIR and UV-vis spectroscopy, a headspace-mass based artificial nose and a voltammetric artificial tongue), together with chemometric pattern recognition techniques, were applied and compared in addressing a food authentication problem: the distinction between wine samples from the same Italian oenological region, according to the grape variety.Specifically, 59 certified samples belonging to the Barbera d’Alba and Dolcetto d’Alba appellations and collected from the same vintage (2007) were analysed.The instrumental responses, after proper data pre-processing, were used as fingerprints of the characteristics of the samples: the results from principal component analysis and linear discriminant analysis were discussed, comparing the capability of the four analytical strategies in addressing the problem studied.     

一种基于可见-近红外光谱快速鉴别茶叶品种的新方法

提出了一种用可见-近红外光谱技术快速无损鉴别茶叶品种的新方法。应用可见-近红外光谱仪测定5个品种茶叶的光谱曲线,用主成分分析法对不同品种茶叶进行聚类分析并获得茶叶的可见-近红外光谱数据的主成分,再结合人工神经网络技术建立模型进行品种鉴别。主成分分析表明,以主成分1和2对所有建模样本的得分值做出的得分图,对不同种类茶叶具有较好的聚类作用,可以定性分析茶叶种类。把主成分分析得到的前6个主成分作为神经网络的输入,茶叶品种值作为神经网络的输出,通过5个茶叶品种共125个样本的训练和学习,建立了茶叶品种鉴别的3层BP人工神经网络模型,对未知的25个样本进行鉴别,品种识别准确率达到100%。说明本文提出的方法具有很好的分类和鉴别作用,为茶叶的品种快速鉴别提供了一种新方法。     

人工神经网络对VOCs的自动识别

利用人工神经网络(ANN)对严重混叠的傅里叶变换红外光谱图进行了定性和定量解析。通过大量模拟数据训练神经网络后,引用了新的评价标准——逼近度来选择最优网络模型。利用此优化网络对两类光谱图进行了解析,考察了网络的泛化能力。结果表明：该网络不仅能够对两组分同时存在时的样本进行准确解析,而且对于未知单组分光谱图,也能够进行准确鉴别和定量分析。可见, 该研究为人工神经网络在单组分和多组分未知物的定性和定量分析方面提供了一种新思路。     

虫草氨基酸的人工神经网络-近红外光谱快速测定方法

提出了用近红外漫反射光谱技术快速检测发酵冬虫夏草中氨基酸含量的新方法。采用比色法测定虫草菌粉中氨基酸含量。用BP神经网络建立了近红外光谱数据与氨基酸、精氨酸和总氨酸含量间的定量关联模型。通过比较不同的光谱预处理方法及光谱范围, 得到最优模型,即在7 501.7～6 097.8,5 453.7～4 246.5 cm-1区域内,近红外光谱的一阶微分光谱与其氨基酸含量之间建立模型。甘氨酸、精氨酸和总氨基酸的预测标准偏差分别为0.08,0.07和0.36,均优于主成分回归(PCR)和偏最小二乘回归(PLS)等线性模型的处理结果。结果表明,该方法是一种有效实用的非线性校正方法。为近红外光谱快速测定中药组分含量提供了一条新途径。     

应用可见/近红外光谱技术快速检测果珍中二氧化钛的含量

为了实现快速检测果珍中的二氧化钛含量,提出了应用近红外光谱技术结合化学计量学的快速检测方法。研究采用了320份果珍样本进行光谱特性的检测,其中200个样本用来建模,120个样本进行预测。首先比较了标准正态变量校正(SNV)、变量标准化(Normalize)、多元散射校正(MSC)等6种不同的数据预处理方法对偏最小二乘法(PLS)建模预测效果的影响。然后将PLS模型与应用主成分(PC)建立的主成分-神经网络校正(PC-ANN)模型进行比较。结果表明,MSC预处理的效果最好,PLS模型的最佳主成分数为7,预测值与标准值的相关系数R2达0.900 8,预测标准误差RMSEP为0.05。PC-ANN模型预测值与标准值的R2为0.868 4,RMSEP为0.04。说明PLS模型比PC-ANN模型的预测效果好。同时本研究也说明能够应用可见/近红外技术对二氧化钛进行快速定量测定。