预热超声对菠萝蜜种子分离蛋白起泡性及结构的影响

采用预热超声技术改善菠萝蜜种子分离蛋白（Jackfruit Seed Isolate Protein, JSPI）起泡性,探究起泡性与结构的关系。对预热温度,超声功率,超声时间进行了优化,得到最佳条件:预热温度60℃,超声功率600 W,时间20 min。结果得出,与JSPI相比,60℃+600 W处理的JSPI起泡性增加了58.44%（P<0.05）,高于600 W（45.25%）和60℃（29.64%）。相比JSPI,泡沫稳定性没有提高（P>0.05）。SDS-PAGE凝胶电泳结果表明,600 W超声处理没有改变JSPI的分子量,60°C处理使JSPI的部分可溶性蛋白分子聚集,出现了新的蛋白条带。相关性结果表明,起泡性与JSPI的β-折叠和无规则卷曲含量成正相关。与JSPI相比,600 W,60℃,60℃+600 W处理后的荧光强度增强、表面疏水性（H0）提高,说明JSPI结构变松散,内部疏水基团暴露出来,疏水性增加,导致起泡性增加。电位结果表明,与JSPI相比,600 W处理的电位从-22.03增强至-24.53 mV（P<0.05）。60℃,60℃+600 W处理电位减弱,导致溶液体系不稳定。粒径结果表明,与JSPI相比,600 W处理粒径减小,60℃处理粒径增加。蛋白粒径减小、或占较低比例存在的粒径较大的蛋白群体均可以提高JSPI的起泡性。     

Direct visualization of structural defects in 2D semiconductors

Direct visualization of the structural defects in two-dimensional (2D) semiconductors at a large scale plays a significant role in understanding their electrical/optical/magnetic properties, but is challenging. Although traditional atomic resolution imaging techniques, such as transmission electron microscopy and scanning tunneling microscopy, can directly image the structural defects, they provide only local-scale information and require complex setups. Here, we develop a simple, non-invasive wet etching method to directly visualize the structural defects in 2D semiconductors at a large scale, including both point defects and grain boundaries. Utilizing this method, we extract successfully the defects density in several different types of monolayer molybdenum disulfide samples, providing key insights into the device functions. Furthermore, the etching method we developed is anisotropic and tunable, opening up opportunities to obtain exotic edge states on demand.     

Coupling characteristics of laterally coupled gratings with slots

Laterally-coupled ridge-waveguide distributed feedback lasers fabricated without epitaxial regrowth steps have the advantages of process simplification and low cost. We present a laterally coupled grating with slots. The slots etched between the ridge and grating area are designed to suppress the lateral diffusion of carriers and to reduce the influence of the aspect-ratio-dependent-etching effect on the grating morphology in the etching process. Moreover, the grating height in this structure can be decreased to lower the aspect ratio significantly, which is advantageous over the conventional laterally coupled ridge waveguide gratings. The effects of five main structural parameters on the coupling characteristics of gratings are studied by MODE Solutions. It is found that varying the lateral width of the grating can be used as an effective way to tune the coupling strength; narrow slots (100 nm and 300 nm) and wide ridge (2 μm-4 μm) promote the stability of grating coupling coefficient and device performance. It is important to note that the grating bottom should be fabricated precisely. The comparative study of carrier distribution and mode field distribution shows that the introduction of narrow slots can strengthen the competitive advantage and stability of the fundamental mode.     

环境规制强度影响能源效率的门槛效应研究——基于PSTR模型

利用非径向-SBM和CCR模型测算了我国30个省市(暂不包括西藏和港澳台地区)2007-2016年间的环境规制强度以及能源效率,构建面板平滑转移回归模型(PSTR),分析了环境规制强度对我国能源效率的连续非线性变化的影响.研究结果显示,全国环境规制强度对我国能源效率存在非线性效应,二者之间呈倒“U”型关系.环境规制强度小于门槛值0.6376时,环境规制对能源效率产生创新补偿效应,当环境规制强度高于门槛值0.6376时,环境规制对能源效率产生遵循成本效应.而我国东西部地区的环境规制强度与地区能源效率间却存在着与之相反的“U”型效应.     

Simultaneous measurement of SO2 and NO2 concentration using an optical fiber-based LP-DOAS system

SO2 and NO2 are the most important pollution in atmosphere.An optimized long path(LP)differential optical absorption spectroscopy(DOAS)system of high light intensity at an ultraviolet(UV)wavelength is proposed and used to measure the concentration of SO2 and NO2 simultaneously.In contrast to the traditional DOAS,the system adopted a Y-type optical fiber structure instead of a combination of mirrors in the telescope.The UV light intensity test shows that the light intensity of UV can arrive to above 80% of the max measuring range when the light path reaches 135 m,and the integral time of the spectrograph is only 15 ms.The system is proved to be efficacious through laboratory calibration.The maximum error of SO2 calibration is 4.19%,and is 5.22% for NO2.The error of the SO2 and NO2 mixture calibration is within 10%.Field measurement is implemented in a wastewater treatment plant in winter.The measurement light path is 738 m.The concentration of SO2 varies from 6μg/m^3(2.26 ppb)to 20μg/m^3(7.52 ppb),and the concentration of NO2varies from 100μg/m^3(53.2 ppb)to 200μg/m^3(106.4 ppb)approximately.The results are in accordance with the data from a monitoring station nearby in magnitude order and variation tendency mostly.     

基于Ni-SnO2纳米颗粒的GS-PUF设计

气敏传感器具有气体识别、探测和监测等功能, 广泛应用于工业生产等领域, 但在泄漏预警时缺乏迅速识别和定位等功能. 本文基于传感器制备工艺偏差分析, 通过对传感器气敏机制的研究, 提出一种基于Ni-SnO2纳米颗粒的气敏传感器物理不可克隆函数(Gas Sensor-Physical Unclonable Function, GS-PUF)设计方案. 该方案利用掺杂Ni元素的方法, 结合静电喷雾沉积技术制备Ni-SnO2气敏传感器, 以获取更加稳定可靠的物理特征值, 然后采集气敏传感器对不同浓度下气体的响应数据, 最后利用随机阻值多位平衡算法比较不同组气敏传感器响应电信号值, 实现PUF数据输出. 制备每组样本可产生128位二进制数据的多组PUF样本, 进行对比实验. 结果表明, 所设计的GS-PUF具有气体泄漏源头识别定位的功能, 且随机性提升至99%, 唯一性达49.80%.     

基于LSTM的浮选钼精矿品位软测量模型

战略性稀有金属钼矿品位低,组分复杂、嵌布粒度细等特点,其有价金属分离回收难。浮选作为微细粒钼矿分离回收的主要选矿方法之一,其浮选钼精矿品位一直是选厂的关键性产品指标。国内大多数选厂采取轮班制采样,人工化验得到精矿品位结果,但此方式严重滞后于浮选工艺,难以满足对生产过程进行实时监测和操作指导。LSTM是一种特殊的循环神经网络,引入门机制有效的传递或选择性遗忘长时间序列中的信息,解决RNN中的长期依赖、梯度消失和爆炸问题。本文分析整理东坡选厂中各平台源数据,结合选厂浮选工艺及机理,筛选出多个影响浮选钼精矿品位的变量作为模型输入;将输入变量进行异常值判定,缺失值填充和数据降噪等数据预处理,建立高质量浮选钼精矿品位数据库;软测量模型采用PyCharm软件编码,使用BatchNorm批量规范化处理样本数据,加入Dropout正则化防止过拟合,建立基于LSTM的浮选钼精矿品位软测量模型,通过前向传播算法更新神经网络结构参数,并于Linear模型和CNN模型的预测性能指标结果比较。结果表明：基于LSTM的浮选钼精矿品位软测量模型预测准确度高,样本数据误差波动平稳,浮动范围小,模型泛化能力强,模型平均绝对百分比误差MAPE为1.13%,均方根误差RMSE为0.7049%,决定系数R2为0.8763,实现了浮选钼精矿品位的在线预测。     

高可见光催化降解污染物和产氢活性的Z型N-掺杂K4Nb6O17/g-C3N4异质结

随着人口增长和全球工业化进程加快,人们饱受环境污染和能源短缺问题的困扰.半导体光催化技术作为一种高效、可持续、环境友好、有潜力的新技术,在环境净化和能源开发方面有着广阔的应用前景.到目前为止,人们已开发出多种半导体光催化剂,并广泛应用于污染物降解、氢气制备和二氧化碳还原等领域.其中,化合物K4Nb6O17具有典型的层状结构、合适的电子能带结构、结构易改性以及良好的电荷传输性能等特点,在光催化领域得到了广泛研究.然而,单纯K4Nb6O17仍存在光响应范围窄、光生载流子复合率高等问题,限制了K4Nb6O17的进一步应用.因此,需要对K4Nb6O17进行改性,拓宽其光吸收范围,提高其光生载流子分离效率,从而提高其光催化活性.本研究通过简单焙烧法制备Z型N-掺杂K4Nb6O17/g-C3N4(KCN)异质结光催化剂,其中石墨相氮化碳(g-C3N4)在复合材料中质量比约为50%.层状K4Nb6O17层板的电子结构通过N掺杂进行调控,拓宽其光响应范围,使其具有可见光响应;同时,形成的g-C3N4位于N-掺杂K4Nb6O17的外层以及内层空间,在这两种组分之间形成异质结,有利于提高光生载流子的分离效率.荧光光谱、时间分辨荧光光谱和光电化学测试表明,N掺杂和异质结的形成有利于增强光生电子-空穴对的传输和分离效率.通过在可见光照射下降解罗丹明B(RhB)和产氢来评估材料的光催化性能.相比g-C3N4(8.24μmol/h)和Me-K4Nb6O17(~1.30μmol/h),KCN复合材料光催化产氢效率(~16.91μmol/h)得到了极大提高,并显示出极好的光催化产氢稳定性能.对于光催化降解RhB体系,KCN复合材料也显示出较好的光催化活性和稳定性,并能很好地将RhB矿化.鉴于KCN复合材料具有较小的比表面积(9.9 m^2/g)且无孔结构,认为比表面积对光催化活性影响较小.因此,与单组分相比,KCN复合材料光催化产氢和RhB降解活性都得到了极大提高,活性的增强主要归功于N掺杂和异质结形成的协同效应,其中N掺杂可以拓宽光捕获能力,异质结形成可提高电荷载流子的分离效率.电子自旋共振(ESR)谱表明,在KCN降解RhB体系中,超氧自由基(·O2^?)、羟基自由基(·OH)和空穴(h^+)作为主要活性物质都参与了反应.结合实验结果可以推测KCN复合材料满足了Z型光催化体系,该体系具有高效的光生载流子分离效率和较高的氧化还原能力.     

双功能化磁性纳米修复剂对多重金属的快速、高效钝化行为

采用“一锅法”制备了四氧化三铁/半胱氨酸（Fe₃O₄/Cys）磁性纳米微球,随后对Fe₃O₄/Cys进行亚氨基二乙酸（IDA）修饰得到Fe₃O₄/Cys/IDA磁性双功能化纳米微球。研究发现Fe₃O₄/Cys中的L-Cys是通过—SH基团接枝到Fe₃O₄表面的,随后IDA分子中的羧基与Fe₃O₄/Cys中的—NH₂形成酰胺键,最终形成多支链多羧基的Fe₃O₄/Cys/IDA磁性纳米修复剂。基于修复剂表面短支链-长支链交替的多羧基结构,实现了羧基基团的高密度接枝。同时,Fe₃O₄/Cys/IDA磁性纳米微球对Pb²⁺、Cd²⁺、Cu²⁺、Co²⁺、Ni²⁺、Zn²⁺为专性吸附,而对Hg²⁺属于非专性吸附,且吸附重金属后得到的钝化产物均表现了良好的稳定性。另外,Fe₃O₄/Cys/IDA对重金属离子的吸附符合Langmuir模型,属于单层均相吸附,其吸附过程符合准二级动力学模型,最大吸附量为49.05 mg·g^-1。