作者机构：
[马强; 李水芳; 文瑞芝] College of Science, Central South University of Forestry & Technology, Changsha, 410004, China;[付红军; 王琼] College of Food Science and Engineering, Central South University of Forestry & Technology, Changsha, 410004, China
期刊：
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY,2018年66(28):7542-7549 ISSN：0021-8561
通讯作者：
Chen, Bo;van Beek, Teris A.
作者机构：
[Yang, Zihui; Jiang, Le; Wen, Ruizhi; Chen, Bo; Ma, Ming] Hunan Normal Univ, Minist Educ, Key Lab Phytochem R&D Hunan Prov, Changsha 410081, Hunan, Peoples R China.;[Yang, Zihui; Jiang, Le; Wen, Ruizhi; Chen, Bo; Ma, Ming] Hunan Normal Univ, Minist Educ, Key Lab Chem Biol & Tradit Chinese Med Res, Changsha 410081, Hunan, Peoples R China.;[Wen, Ruizhi] Cent South Univ Forestry & Technol, Sch Sci, Changsha 410004, Hunan, Peoples R China.;[Zeng, Dong] Hunan Prov Ctr Dis Control & Prevent, Changsha 410005, Hunan, Peoples R China.;[van Beek, Teris A.] Wageningen Univ, Lab Organ Chem, Stippeneng 4, NL-6708 WE Wageningen, Netherlands.
通讯机构：
[Chen, Bo] H;[van Beek, Teris A.] W;Hunan Normal Univ, Minist Educ, Key Lab Phytochem R&D Hunan Prov, Changsha 410081, Hunan, Peoples R China.;Hunan Normal Univ, Minist Educ, Key Lab Chem Biol & Tradit Chinese Med Res, Changsha 410081, Hunan, Peoples R China.;Wageningen Univ, Lab Organ Chem, Stippeneng 4, NL-6708 WE Wageningen, Netherlands.
关键词：
Aromatic compounds;Carbonate minerals;Desorption;Fish ponds;Mass spectrometry;Oils and fats;Phase separation;Calibration curves;Direct analysis in real time;Experimental conditions;High resolution;High resolution mass spectrometry;High temperature;Internal standards;Sample solution;Dyes;coloring agent;rhodamine;rhodamine B;vegetable oil;analysis;condiment;evaluation study;food contamination;high performance liquid chromatography;limit of detection;pond;procedures;spice;tandem mass spectrometry;water pollutant;Chromatography, High Pressure Liquid;Coloring Agents;Condiments;Food Contamination;Limit of Detection;Plant Oils;Ponds;Rhodamines;Spices;Tandem Mass Spectrometry;Water Pollutants, Chemical
作者机构：
[Muqian Yu; Le Jiang; Lili Feng; Wenjie Deng; Bo Chen] Key Laboratory of Chemical Biology & Traditional Chinese Medicine Research, Ministry of Education, Hunan Normal University, Changsha, China;School of Sciences, Central South University of Forestry & Technology, Changsha, China;[Ruizhi Wen] Key Laboratory of Chemical Biology & Traditional Chinese Medicine Research, Ministry of Education, Hunan Normal University, Changsha, China<&wdkj&>School of Sciences, Central South University of Forestry & Technology, Changsha, China
关键词：
1H;NMR;NACL;Phase;Separation;Acetonitrile-Water;MIXTURES;Hydrogen;BOND;NaCl;Phase Separation;Acetonitrile-Water Mixtures;Hydrogen Bond
摘要：
The microscopic properties of NaCl-induced phase separation of acetonitrile (ACN)-water mixtures have been studied by proton nuclear magnetic resonance (1H NMR). Acetonitrile-rich phase increases with increasing NaCl concentration (cNaCl) at xACN ≈ 0.25. 1H chemical shift of water for acetonitrile-rich phase rapidly decreases with decreasing NaCl mole concentration and that for water-rich phase quickly increases with increasing cNaCl. However, 1H chemical shift of acetonitrile has nothing to do with the molar concentration of NaCl, and it keeps relatively stable for all solutions (±0.002). These results reveal that Na+ and Cl- are rapidly hydrated by water, not by acetonitrile. The change of 1H chemical shift of water has shown that the number of hydrogen bond increases or hydrogen bond strengths with increasing NaCl molarity in mixtures. But hydrogen bond is broken or weaken with the temperature rising. 1H chemical shifts of pure water and the water in acetonitrile-rich phase have been investigated at 293 K, 298 K and 303 K. The hydration number of Na+ (6.05) in water-rich phase is determined by an empirical equation involving 1H chemical shift, temperature and NaCl molarity, which is in good agreement with the literatures.
作者机构：
[文瑞芝; 黄自知; 马强; 王琼; 胡云楚] College of Science, Central South University of Forestry & Technology, Changsha, 410004, China;[Zeng D.] Hunan Center of Disease Control and Prevention, Changsha, 410005, China
通讯机构：
College of Science, Central South University of Forestry & Technology, Changsha, China
关键词：
AAS;Black soybean (glycine max (l.) merr.);ICP-MS;Trace elements
摘要：
<jats:p>The black soybean (Glycine max (L.) Merr.) native to China contains rich protein, fat and vitamins. A total of 24 trace elements in black bean from Zhejiang, Heilongjiang, Hebei, Inner Mongolia, Henan, Hainan and Fujian provinces of China were determined by ICP-MS and AAS. Black beans were found to contain beneficial trace elements such as K, Mg, Ca, Zn, Fe and Mn for human health,. The heavy metal concentration in black beans are much low, which proves that black bean is a safe food. The qualities of black beans from the north provinces are higher than south provinces. DOI: http://dx.doi.org/10.3329/bjb.v44i1.22740 Bangladesh J. Bot. 44(1): 151-154, 2015 (March)</jats:p>
作者：
Li Shui-fang*;Wen Rui-zhi;Yin Yong;Zhou Zi;Shan Yang
期刊：
光谱学与光谱分析,2013年33(10):2637-2641 ISSN：1000-0593
通讯作者：
Li Shui-fang
作者机构：
[Li Shui-fang; Wen Rui-zhi] Cent South Univ Forestry & Technol, Coll Sci, Changsha 410004, Hunan, Peoples R China.;[Zhou Zi; Yin Yong] Hunan Mingyuan Honey Prod Co Ltd, Changsha 410025, Hunan, Peoples R China.;[Shan Yang] Hunan Ctr Food Detect & Anal, Changsha 410025, Hunan, Peoples R China.
通讯机构：
[Li Shui-fang] C;Cent South Univ Forestry & Technol, Coll Sci, Changsha 410004, Hunan, Peoples R China.
关键词：
近红外光谱;蜂蜜;掺假;甜菜糖浆;判别分析;定量分析
摘要：
为进一步检验近红外光谱技术（NIRS）快速检测蜂蜜掺假的能力, 利用近红外光谱结合化学计量学方法对蜂蜜中掺入甜菜糖浆进行了定性和定量检测。 偏最小二乘-判别分析法（PLS-DA）对真假蜂蜜预测集的判别总正确率为90.2%; 不同判别方法对掺假量等级预测集的判别总正确率都低于33.3%; PLS回归只对同一蜂蜜样本掺假的定量分析结果满意: 预测集真实值与预测值的相关系数（r）为0.982 9, 预测均方差（RMSEP）为1.394 2, 而对不同植物来源和同一植物来源的不同样本的掺假量的定量分析结果不满意。 研究表明, 蜂蜜中掺入甜菜糖浆后, NIRS可实现真假蜂蜜的快速鉴别, 而不能实现掺假量等级的鉴别及掺假量的定量分析。 In order to further investigate the utility of near-infrared spectroscopys (NIRS) in rapidly detecting honey adulteration, near-infrared spectroscopy in combination with chemometric methods was investigated for qualitative and quantitative detection of beet syrup adulteration of honey. Total prediction accuracy of testing set was 90.2% by partial least squares-discriminant analysis (PLS-DA) for authentic and adulterated honey samples. Total prediction accuracy of testing sets was all below 33.3% by different discriminant methods for classes of adulteration level. The quantitative analysis of adulteration level by PLS regression gave satisfying results if adulterated honey samples were got from the same one authentic honey sample: correlation coefficient (r）of actual values versus predicted values was 0.9829 and root mean square error of prediction (RMSEP) was 1.394 2 in testing set, otherwise it gave dissatisfying results for the adulterated samples from different botanical origins or the different samples of the same botanical origins. The results showed that NIRS could be applied for rapid detection of authentic and adulterated honey samples, but not for detection of classes of adulteration level and quantification of adulteration level with beet syrup.
摘要：
Commercially available coal-based activated carbon was treated with different concentration of nitric acid. The resultant samples were used to adsorb lead from aqueous solution. N2 adsorption, Boehm titration, point of zero charge (pHPZC) and X-ray photoelectron spectroscopy (XPS) were used to characterize the samples. Acidic pH is favorable for Pb(Ⅱ) adsorption. The acidic groups increase significantly with the increment of the concentration of nitric acid during the treatment. The carboxylic groups of surface carbon play an important role in the adsorption process.
