潮棕壤不同利用方式pH和Olsen-P的垂直变化特征

对潮棕壤4种土地利用方式经过14年后土壤pH和Olsen-P在0～150cm土体10个土层中的垂直分布情况进行的比较研究表明,不同利用方式下土壤pH和Olsen-P含量的剖面分布差异显著,说明不同利用方式对土壤pH和Olsen-P有较大影响。林地和撂荒地0～5cm土层pH分别为>7.0和6.5～7.0,玉米地0～20cm各土层土壤pH基本为6.0以下;20cm以下各土层中的pH,水稻田土壤呈微碱性,玉米地和撂荒地接近中性,林地呈微酸性。土体中Olsen-P平均含量为撂荒地>林地>水稻田>玉米地。水稻田和玉米地0～20cm的3个土层Olsen-P含量明显高于20～80cm的4个土层,表明耕地土壤由于施P肥而导致的P素表聚性;林地和撂荒地0～5cm土层的Olsen-P含量大大高于5～80cm的6个土层,这可能与林地和撂荒地的P素生物归还及基本不受人为扰动有关。4种土地利用方式下土壤各层次Olsen-P含量垂直分布的散点折线图呈现出较为相似的特征。80cm以下的3个土层Olsen-P含量接近或超过表层土壤,主要是受母质层相对较高的全P含量影响所致,也可能与地下水作用有关,不过具体原因还有待于进一步研究。

Retention modeling and simultaneous optimization of pH value and gradient steepness in RP-HPLC using feed-forward neural networks

A novel approach is proposed for the simultaneous optimization of mobile phase pH and gradient steepness in RP-HPLC using artificial neural networks. By presetting the initial and final concentration of the organic solvent, a limited number of experiments with different gradient time and pH value of mobile phase are arranged in the two-dimensional space of mobile phase parameters. The retention behavior of each solute is modeled using an individual artificial neural network. An "early stopping" strategy is adopted to ensure the predicting capability of neural networks. The trained neural networks can be used to predict the retention time of solutes under arbitrary mobile phase conditions in the optimization region. Finally, the optimal separation conditions can be found according to a global resolution function. The effectiveness of this method is validated by optimization of separation conditions for amino acids derivatised by a new fluorescent reagent.

多藻浅水体中pH值和溶解氧协同周期性变化初探

在多藻浅水体中 ,每日 9:0 0～ 15 :0 0的pH值和溶解氧都呈上升趋势 ,两者呈协同周期性变化。经相关性回归分析 ,pH值的变化规律与溶解氧呈非常显著正相关 ,多藻浅水区pH值和溶解氧的回归关系相关系数r =0 912 9>r0 0 1(70 ) (r0 0 1(70 )=0 3 0 2 )。这可能与水体中氧化还原电位和水生植物光合作用伴随的代谢活动有关。这种相关性和协同周期性变化具有一定的生态学意义 ,并会对水体净化产生影响。

Retention modeling and optimization of pH value and solvent composition in HPLC using back-propagation neural networks and uniform design

A novel method for the optimization of pH value and composition of mobile phase in HPLC using artificial neural networks and uniform design is proposed. As the first step. seven initial experiments were arranged and run according to uniform design. Then the retention behavior of the solutes is modeled using back-propagation neural networks. A trial method is used to ensure the predicting capability of neural networks. Finally, the optimal separation conditions can be found according to a global resolution function. The effectiveness of this method is validated by optimization of separation conditions for both basic and acidic samples.

Capillary electrochromatography for separation of peptides driven with electrophoretic mobility on monolithic column

A mode of capillary electrochromatography for separation of ionic compounds driven by electrophoretic mobility on a neutrally hydrophobic monolithic column was developed. The monolithic column was prepared from the in situ copolymerization of lauryl methacrylate and ethylene dimethacrylate to form a C-12 hydrophobic stationary phase. It was found that EOF in this hydrophobic monolithic column was very poor, even the pH value of mobile phase at 8.0. The peptides at acidic buffer were separated on the basis of their differences in electrophoretic mobility and hydrophobic interaction with the stationary phase; therefore, different separation selectivity can be obtained in CEC from that in capillary zone electrophoresis (CZE). Separation of peptides has been realized with high column efficiency (up to 150 000 plates/meter) and good reproducibility (migration time with RSD < 0.5%), and all of the peptides, including some basic peptides, showed good peak symmetry. Effects of the mobile phase compositions on the retention of peptides at low pH have been investigated in a hydrophobic capillary monolithic column. The significant difference in selectivity of peptides in CZE and CEC has been observed. Some peptide isomers that cannot be separated by CZE have been successfully separated on the capillary monolithic column in this mode with the same buffer used.

辽宁植烟土壤pH值状况及其与烟叶主要品质指标的相关分析

以辽宁省7个植烟县为对象,采集了154个土壤和中部烟叶样品,在测定土壤pH值的基础上,测定烟叶中的烟碱含量、还原糖含量、总糖含量以及氮钾含量。通过数理统计的方法分析了土壤pH值与烟叶内在质量指标之间的关系,结果表明:辽宁烟区植烟土壤的pH值大多比较适合烟叶生长,但是仍有12%的植烟土壤pH值过高或过低,需要进行改良。土壤pH值与烟叶总氮含量、烟碱含量、钾含量两两之间均呈显著或极显著的曲线相关关系,即当土壤pH值从4.0变化到6.5时土壤pH值与烟碱含量之间为负效应关系,当土壤pH值从6.5变化到9.0时土壤pH值与烟碱含量之间为正效应关系,土壤pH值与总氮含量、钾含量、总糖含量之间为负效应关系。

融合株SPSC发酵生产酒精的工艺研究Ⅰ.絮凝速率、发酵过程的最适温度和pH值

酿酒酵母属(S. cereviae)变异株和粟酒裂殖酵母属(S. pombe)变异株进行属间原生质体融合得到融合株SPSC,该融合株比S. cereviae具有强的自身絮凝能力。以葡萄糖浓度150g/L的底物在30～44℃的温度范围内进行摇瓶厌氧发酵,获得最佳温度范围为34～38℃,最高发酵温度为40℃。在有效容积2.35L悬浮床反应器中,在pH值3.0～5.0范围内进行连续发酵,获得最适发酵pH为3.5～4.5。

树木根际pH环境与氧化还原状况

以3年生红松、核桃楸、水曲柳、椴树苗木为试材，运用琼脂─指示剂法对长白山地区有代表性的4种苗木的根际pH环境与氧化还原状况进行了研究，试验结果表明：红松和核桃楸根际的pH值在5.2和6.0之间，呈酸性；水曲柳和椴树根际呈碱性（pH值大于7.5）。红松根系分泌质子的部位，主要表现在根尖以上4.5～8.0cm的范围内，这是反映根系吸收养分的部位，也是根系生命活动最旺盛的区域，4种苗木根际均为氧化型（态）。

温度、pH及干旱胁迫对沙地樟子松外生菌根菌生长影响

通过对采集于沙地樟子松人工林内的3种外生菌根真菌(牛肝菌Boletussp.、乳菇Lactariussp.、高环柄菇Macrolepiota procera)进行纯培养,在不同温度、pH值和PEG模拟干旱胁迫条件下,观测了外生菌根菌的生长发育状况。结果表明,3种外生菌根菌生物量在不同pH范围(3~7)内存在着显著差异(P<0.05);在低于5℃和高于37℃时,3种外生菌根菌均不能生长,其最适生长温度分别为:牛肝菌,25℃高环柄菇,25~28℃,乳菇,25~30℃;在低浓度PEG胁迫处理条件下(10%,-0.20MPa),3种外生菌根菌的生长均有所增加,当PEG胁迫达到30%(-1.53 MPa)时,3种外生菌根菌的生长均受到抑制。与上述结果比较,沙地樟子松人工林地土壤的实际pH值在外生菌根菌的最适生长范围内;林地最高气温值远远超过3种外生菌根菌的最适生长值的时间在每年的生长季都会出现;在极端干旱年份(如1996年),林地土壤的实际含水量在生长季节(5~9月)远远低于抑制外生菌根菌生长的土壤含水量,可能影响到外生菌根菌的生存。因此,可以推断,沙地樟子松人工林地的外生菌根菌的生长与发育,在干旱胁迫及高温作用下受到很大程度的影响,如果仅从微生物角度分析,外生菌根菌在干旱和高温条件下不能生长或已经死亡是导致沙地樟子松人工林衰退的一个原因。

Surface modelling of soil pH

In addition to classical methods, namely kriging, Inverse Distance Weighting (IDW) and splines, which have been frequently used for interpolating the spatial patterns of soil properties, a relatively more accurate surface modelling technique is being developed in recent years, namely high accuracy surface modelling (HASM). It has been used in the numerical tests, DEM construction and the interpolation of climate and ecosystem changes. In this paper, HASM was applied to interpolate soil pH for assessing its feasibility of soil property interpolation in a red soil region of Jiangxi Province, China. Soil pH was measured on 150 samples of topsoil (0-20 cm) for the interpolation and comparing the performance of HASM, kriging. IDW and splines. The mean errors (MEs) of interpolations indicate little bias of interpolation for soil pH by the four techniques. HASM has less mean absolute error (MAE) and root mean square error (RMSE) than kriging, IDW and splines. HASM is still the most accurate one when we use the mean rank and the standard deviation of the ranks to avoid the outlier effects in assessing the prediction performance of the four methods. Therefore, HASM can be considered as an alternative and accurate method for interpolating soil properties. Further researches of HASM are needed to combine HASM with ancillary variables to improve the interpolation performance and develop a user-friendly algorithm that can be implemented in a GIS package. (C) 2009 Elsevier B.V. All rights reserved.

Effects of pH on the Interactions and Conformation of Bovine Serum Albumin: Comparison between Chemical Force Microscopy and Small-Angle Neutron Scattering

The conformation of bovine serum albumin (BSA), as well as its interactions with negatively charged mica surfaces in saline solutions of different pH values, have been studied by small-angle neutron scattering (SANS) and chemical force microscopy (CFM), respectively. A new approach to extract the contribution of elementary interactions from the statistically averaged force-extension curves through self-consistent fitting was proposed and used to understand the effects of pH on the interactions and conformation of BSA in saline solutions. When pH increases, the SANS results reveal that the sizes of BSA molecules increase slightly, while the statistical analysis of the CFM results shows that the averaged pull-off force for the elongation monotonously decreases. The decrease of pull-off force with the increase of pH results from the decrease in the strength of hydrogen bonding and the number of interaction pairs, as well as the slight increase of the strength of van der Waals interaction. When pH approaches the isoelectric point (pI) of BSA, results from both SANS and CFM suggest a loss of long-range interactions in BSA molecules. Our results also suggest that the force-extension curve is mainly contributed by the van der Waals interaction. The combination of SANS and CFM provides new insight to understand the interactions and conformation of BSA molecules

Gold Nanoparticle-based Colorimetric Sensor for pH Sensing

We present a newly designed colormetric sensor sensitive to pH value based on a gold nanocomposite composed of gold nanoparticles and pH-sensitive polymer{dodecylthioether end functionalized poly[2-(diethlamino) ethyl methacrylate], poly(DEAEMA)-DDT}. We have shown that this design can produce stable GNP precipitate under weakly basic condition(pH=7.5) and this precipitate can be dispersed in acidic solution(pH=4.0), due to the 2-(diethylamino) ethyl methacrylate protonated by H+.

温度和pH双敏性PVME/CMCS水凝胶辐射交联制备及其性能

以聚甲基乙烯基醚(PVME)和羧甲基壳聚糖(CMCS)为原料,采用电子束辐照交联方法制备聚甲基乙烯基醚/羧甲基壳聚糖(PVME/CMCS)水凝胶,研究了温度、pH值、CMCS含量等对PVME/CMCS水凝胶溶胀度的影响,同时以5-氟尿嘧啶(5-Fu)作模型药物,初步探讨了凝胶药物释放性能