含硼杂原子Na-B-ZSM-5分子筛对甲醇脱氢制甲醛反应的催化性能

以白炭黑为硅源、硼酸为硼源、NaOH为碱源、四丙基溴化铵(TPABr)和1,6-己二胺(HMDA)混合模板剂,采用水热合成法制备含硼杂原子Na-B-ZSM-5分子筛,用XRD、SEM、FT-IR、UV-vis、11B MAS NMR、NH3-TPD等方法对其进行表征。在连续流动常压固定床反应器上评价Na-B-ZSM-5分子筛对甲醇脱氢制甲醛反应的催化性能,考察n(Si)/n(B)、n(Na2O)/n(SiO2)、晶化温度和晶化时间等制备参数以及反应温度和质量空速等工艺参数对催化性能的影响。结果表明,硼进入了分子筛的骨架结构中,存在与B酸中心有关的骨架四配位硼和与L酸中心有关的骨架三配位硼,Na-B-ZSM-5分子筛含有较多的弱酸位和少量的中强酸位。催化剂的最佳制备参数为n(Si)/n(B)比值为7.5、n(Na2O)/n(SiO2)比值为0.14、晶化温度170℃、晶化时间48 h。Na-B-ZSM-5(7.5)分子筛在反应温度550℃、质量空速1.85 h-1的反应条件下对甲醇的转化率为62.97%,甲醛的选择性为68.86%。     

由不同镍盐前体制备高分散Ni/SBA-15催化剂：活化氛围的影响

以硝酸镍和乙酸镍为镍前体,用浸渍法分别在空气和氢气氛围活化制得系列Ni/SBA-15催化剂,通过XRD、H₂-TPD、N₂物理吸附和在线质谱等物理化学手段对催化剂进行了表征,并结合微型高压反应釜萘加氢反应,评价了催化剂的加氢性能。结果表明,氢气氛围活化对硝酸镍为镍前体所制Ni/SBA-15催化剂的镍分散度和活性有显著促进作用,而空气氛围活化对乙酸镍为镍前体所制催化剂有明显促进作用。根据催化剂前体在不同氛围活化时的热分解产物,提出了活化氛围对不同镍前体制得Ni/SBA-15催化剂所产生的作用机理。     

大同烟煤增压富氧燃烧过程中硫、氯和氟的析出特性

利用高压热重结合傅里叶红外研究了大同烟煤在增压富氧燃烧过程中硫、氯和氟的释放行为,主要考察压力对其析出特性的影响。实验结果表明,压力的改变对煤中硫、氯和氟的迁移转化均有显著影响。随着压力的升高,黄铁矿硫向COS等中间产物的转化率逐渐增加,导致SO2的收率逐步上升,但在3 MPa时,燃煤SO2收率却有所降低。此外,压力升高后反应气氛中CO分压的增加促进了COS的生成,导致其收率逐渐上升。因为煤中有机氯析出和转化与挥发分的释放密切相关,所以高压下挥发分释放量的增加使得煤中有更多的有机氯析出并转化为HCl,而且压力升高后,挥发分燃烧速率和温度的升高促进了无机氟化物分解,HF生成量相应增加。此外,高压下水解反应的强化也提高了HF的收率。     

神府煤与稻杆共热溶研究

研究了神府煤与稻杆在1-甲基萘溶剂中不同温度下的共热溶行为。相对神府煤,稻杆单独热溶时具有更高的热溶率,表明其具有较好的热溶活性。但稻杆的热溶过程中产生大量的挥发性气体,导致其热溶率和热溶物产率之间的较大差异。神府煤单独热溶时,其热溶率与热溶物产率之间的差异相对较小。神府煤与稻杆的共热溶表明,两者之间存在协同效应,并且该协同效应受温度的影响显著。在热溶温度为320~340 ℃时,对热溶物产率而言具有正的协同效应,也即其热溶物产率的实验值大于通过神府煤与稻杆单独热溶时热溶物产率经质量加权平均计算得到的理论值。在研究的热溶温度范围内,共热溶的热溶率实验值均低于质量加权平均的理论计算值。相对于理论计算值,在320 ℃时热溶物产率的实验值增加达到最大,为7.9%。此外,通过对热溶物的性质表征,还进一步探讨了共热溶过程中的协同作用机理。     

TG-MS与Py-GC相结合法研究惰性气氛下含硫模型化合物热解过程中硫的脱除及释放行为研究

采用热重-质谱法(TG-MS)和热解-气相色谱法(Py-MS)相结合的方法对模型化合物(十四硫醇、二丁基硫醚、苯硫醚、二甲基噻吩、苯并噻吩和二苯并噻吩等)在惰性气氛下硫的脱除及释放行为进行研究。惰性气氛下硫的脱除顺序为:十四硫醇>二丁基硫醚>二甲基噻吩>苯并噻吩>苯硫醚>二苯并噻吩,苯硫醚除外,该顺序与含硫官能团的热分解顺序一致。在热解过程中,所有模型化合物在质谱和气相色谱仪上均被检测到SO₂;除苯硫醚和二苯并噻吩外,其他模型化合物中均检测到了COS;而只在十四硫醇、二丁基硫醚和二甲基噻吩中检测到了H₂S。且热解气中SO₂含量要显著高于H₂S和COS。这是由于活性炭作载体时,惰性气氛下内部氢的含量显著小于内部氧的含量,所以大多数的含硫自由基易与内部氧结合以SO₂的形式逸出。对于苯硫醚、苯并噻吩和二苯并噻吩中没有检测到H₂S,是由于内部氢的不足,使得含硫自由基不能与内部氢结合,所以没有检测到H₂S逸出。     

室温下铜催化制备含羰基或酯基的喹唑啉-4(3H)-亚基类衍生物

在室温的条件下,建立了一种简单实用的铜催化制备含酮羰基或酯基的喹唑啉-4(3H)-亚基类衍生物的新方法.实验证明以2-溴苯甲酰乙酸甲酯类似物及脒盐酸盐为原料,碘化亚铜为催化剂,磷酸钾为碱,无添加配体的情况下,可成功制备一系列喹唑啉类衍生物.其结构均经1H NMR、13C NMR及HRMS确证.     

Determination of fatty acids in soil samples by gas chromatography with mass spectrometry coupled with headspace solid‐phase microextraction using a homemade sol–gel fiber†

Through the use of a homemade sol–gel‐derived fiber, a headspace solid‐phase microextraction technique coupled to gas chromatography with mass spectrometry was developed for the determination of fatty acids with long, even‐numbered carbon chains (C₁₂–C₂₄) in soil samples. The experimental parameters such as reaction time, temperature, and ionic strength that might affect derivatization, extraction, and desorption were investigated. Under the optimized conditions, the linearity of the method ranged from 0.1 to 100 mg/L with a correlation coefficient >0.997. The limit of detection values based on a signal‐to‐noise ratio of 3:1 were determined with the concentration from 0.39 to 39.4 μg/L. The recoveries of the method for the soil samples were from 91.15 to 108.1%. This developed method using a homemade fiber showed a higher sensitivity than that using a commercial polydimethylsiloxane fiber and was also for the analysis of real soil samples from the Paomaling geological park of China.     

Highly efficient N-glycoproteomic sample preparation by combining C18 and graphitized carbon adsorbents

Conventional N-glycoproteome analysis usually applies C₁₈ reversed-phase (RP) adsorbent for sample purification, which will lead to unavoidable sample loss due to the high hydrophilicity of N-glycopeptides. In this study, a porous graphitized carbon (PGC) absorbent was combined with a C₁₈ adsorbent for N-glycopeptide purification in comprehensive N-glycoproteome analysis based on the hydrophobic and polar interactions between carbon and N-glycans. It was observed that the small hydrophilic N-glycopeptides that cannot retain onto C₁₈ adsorbent can be captured by the graphitized carbon, while the large hydrophobic N-glycopeptides that cannot retain onto the graphitized carbon can be feasibly captured by the C₁₈ adsorbent. Comparing with sample purification by using C₁₈ adsorbent only, 28.5 % more N-glycopeptides were identified by combining both C₁₈ and PGC adsorbents. The C₁₈-PGC strategy was further applied for both sample purification and pre-fractionation of a complex protein sample from HeLa cell. After hydrophilic interaction chromatography enrichment, 1,484 unique N-glycopeptides with 1,759 unique N-glycosylation sites were finally identified.

Tissue imaging and serum lipidomic profiling for screening potential biomarkers of thyroid tumors by matrix-assisted laser desorption/ionization-Fourier transform ion cyclotron resonance mass spectrometry

Changes in serum lipidome and in tissue lipidome are associated with cancer. In this study, tissue mass spectrometry imaging (MSI) and serum lipid profiling by matrix-assisted laser desorption/ionization-Fourier transform ion cyclotron resonance mass spectrometry (MALDI-FTICR MS) were performed to investigate significantly changed lipids in both tumor (malignant thyroid cancer (MTC) and benign thyroid tumor (BTT)) tissues and sera. Y-scatterplots of variable importance in the projection (VIP) values vs. fold change values indicate that change trends in the levels of ten lipids (i.e., phosphatidylcholine (PC)(34:1), PC(36:1), PC(38:6), phosphatidic acid (PA) (36:2), PA(36:3), PA(38:3), PA(38:4), PA(38:5), PA(40:5), and sphingomyelin (SM)(34:1)) in both tissues and sera from MTC patients, BTT patients, and normal individuals are significantly associated with these three types of pathophysiological status. In order to examine their diagnostic ability, 289 serum samples from 124 MTC patients, 43 BTT patients, and 122 normal controls were randomly divided into the training set and validation set. A biomarker of PC(34:1) exhibited excellent diagnostic ability to differentiate both MTC and BTT patients from normal individuals, with an area under the receiver operating characteristic (ROC) curve value of 0.984, a sensitivity of 96.4 %, and a specificity of 92.7 %. A panel which included PA(36:3) and SM(34:1) could distinguish between MTC and BTT, with an area under receiver operating characteristic curve (AUC) of 0.961, a sensitivity of 87.8 %, and a specificity of 92.9 %. It is worth noting that a panel consisting of PC(34:1), PA(36:3), and SM(34:1) could differentiate MTC patients from both BTT patients and normal individuals, with an AUC of 0.841, a sensitivity of 86.6 %, and a specificity of 75.5 %.

Optimization of sampling frequency for routine river water quality monitoring

Sampling frequency is an important factor to be considered during the design of a water monitoring network,and the cost-effective selection of possible ways and means for the optimization of sampling frequency is still needed.This paper introduces water pollution index deviation ratio comparison(WPI DRC),a procedure for the optimization of sampling frequency for a routine river water quality monitoring system.Sampling frequency optimized using WPI DRC at monitoring station X5 in the mainstream of Xiangjiang River is compared with that established using the traditional Statistical Algorithm method.The result of comparison indicates that WPI DRC is more feasible than the traditional one.And then,the sampling frequencies for other 16 monitoring stations also have been optimized,and the results show the sampling frequencies of all the stations except that X4 are reduced,and there is no unacceptable difference between water quality evaluation results at 17 stations before and after the optimization.Therefore,it is concluded that WPI DRC is an effective optimization process with operable results,which can be used to fulfill the requirement of practical monitoring work.