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1.
《Ceramics International》2022,48(9):12209-12216
We report the structural, magnetic, electrical and broadband microwave absorption in La0.7Na0.3MnO3 sample synthesized by microwave (MW) irradiation (Na0.3LMO_MW) and compare them to the sample synthesized by solid-state (SS) reaction method (Na0.3LMO_SS). Single phase Na0.3LMO_MW was synthesized at 800 °C in 30 min, whereas, Na0.3LMO_SS sample was obtained by sintering at 1200 °C for 48 h. Although both these samples show ferromagnetic transition at TC ~324.8 K, the MW-synthesized sample shows distinct physical properties: broad ferromagnetic transition, smaller saturation magnetization, a large difference between the magnetic ordering and metal-insulator transition temperatures, a large high-field magnetoresistance, a table top-like magnetocaloric effect, and a large low-field microwave absorption compared to the solid state synthesized sample. These differences are suggested to arise from magnetic heterogeneity induced by smaller grain size and surface spin disorder in the MW synthesized La0.7Na0.3MnO3. 相似文献
2.
黏土束缚水是储层测井评价的重要内容之一。采用扩散双电层理论推导出黏土束缚水孔隙度(ϕcw)与阳离子交换量之间的理论公式,通过岩心阳离子交换实验测定ϕcw。依据核磁共振—阳离子交换联测实验,对比分析了传统3ms黏土束缚水T2截止值测定ϕcw的误差,明确了黏土束缚水T2截止值与核磁共振不同截止值计算的ϕcw之间的变化规律,建立了变黏土束缚水T2截止值计算模型,从而实现核磁共振测井精细计算ϕcw的方法并给出具体计算步骤。应用效果表明,相比传统3ms核磁共振测井计算的ϕcw,所提新方法计算结果更合理,与岩心分析结论更匹配,是黏土束缚水评价的一种有效手段。 相似文献
3.
白酒检测技术在生产中的应用研究进展 总被引:2,自引:0,他引:2
白酒检测是对白酒进行深层次研究的必备手段,对控制白酒质量、指导生产、维持白酒市场稳定等有着积极作用。该文总结了色谱技术、光谱技术、核磁共振技术以及仿生传感器技术在白酒检测中应用现状及研究成果,分别阐述了不同检测技术在品牌、产地、酒龄鉴别、品质监控,真伪鉴别以及风味物质测定,等级划分等方面的应用情况,并对不同检测技术的建模方法在实际应用中存在的优势与不足进行对比分析。针对目前白酒检测过程中的难点与不足,对白酒检测技术在白酒生产、质量控制、市场维护中的应用发展进行展望,可为白酒的数字化发展以及从业人员的研究工作提供参考。 相似文献
4.
《International Journal of Hydrogen Energy》2022,47(53):22482-22494
Hydrogen is among a few promising energy carriers of the future mainly due to its zero-emission combustion nature. It also plays an important role in the transition from fossil fuel to renewable. Hydrogen technology is relatively immature and serious knowledge gaps do exist in its production, transport, storage, and utilization. Although the economical generation of hydrogen to the scale required for such transition is still the biggest technical and environmental challenge, unlocking the large-scale but safe storage is similarly important. It is difficult to store hydrogen in solid and liquid states and storing it in the gaseous phase requires a huge volume which is just available in subsurface porous media. Sandstone is the most abundant and favourable medium for such storage as carbonate rock might not be suitable due to potential geochemical reactions.It is well established in the literature that interaction of the host rock-fluid and injected gas plays a crucial role in fluid flow, residual trapping, withdrawal, and more generally storing capacity. Such data for the hydrogen system is extremely rare and are generally limited to contact angle measurements, while being not representative of the reality of rock-brine-hydrogen interaction(s). Therefore, we have conducted, for the first time, a series of core flooding experiments using Nuclear Magnetic Resonance (NMR) to monitor hydrogen (H2) and Nitrogen (N2) gas saturations during the drainage and imbibition stages under pressure and temperature that represent shallow reservoirs. To avoid any geochemical reaction during the test, we selected a clean sandstone core plug of 99.8% quartz (Fontainebleau with a gas porosity of 9.7% and a permeability of 190 mD).Results show significantly low initial and residual H2 saturations in comparison with N2, regardless of whether the injection flow rate or capillary number were the same or not. For instance, when the same injection flow rate was used, H2 saturation during primary drainage was 4% and it was <2% after imbibition. On other hand, N2 saturation during the primary drainage was 26% and it was 17% after imbibition. However, when the same capillary number of H2 was utilised for the N2 experiment, the N2 saturation values were ~15% for initial gas saturation and 8% for residual gas saturation. Our results promisingly support the idea of hydrogen underground storage; however, we should emphasise that more sandstone rocks of different clay mineralogy should be investigated before reaching a conclusive outcome. 相似文献
5.
Yinjuan Cao Shunzhong He Qunli Yu Ling Han Wei Zhang Xiaohong Zou 《International Journal of Food Science & Technology》2022,57(5):3001-3011
This study investigated the effect of 5 freeze–thaw cycles (freezing at −18°C for 12 h and then thawing at 4°C for approximately 12 h) on the meat quality, proximate composition, water distribution and microstructure of bovine rumen smooth muscle (BSM). As the number of freeze–thaw cycles increased, BSM pH, shear force, water content and protein content decreased by 3.06%, 35.50%, 14.49% and 21.11%, respectively, whereas BSM thawing loss, cooking loss, pressing loss, total aerobic count (TAC), ash content and fat content increased by 108.12%, 47.75%, 78.33%, 90.99%, 105% and 35.20%, respectively. The freeze–thaw cycles resulted in greater protein and lipid oxidation, as evidenced by a 36.46% reduction in the sulfhydryl content and a 209.06% and 338.46% increase in the carbonyl and malondialdehyde contents, respectively. Ice crystal formation disrupted the structural integrity of the muscle tissue. Low-field nuclear magnetic resonance results showed that the freeze–thaw cycles prolonged the relaxation times (T2b, T21 and T22), indicating that immobile water shifted to free water, and consequently, free water mobility increased. After 3 freeze–thaw cycles, the decline in shear force slowed, the increase in thawing loss became accelerated, and the TAC approached the domain value (6 log colony-forming units/g). Therefore, the number of freeze–thaw cycles of smooth muscle during transport, storage and distribution should be controlled to 3 or fewer. The current results provide a theoretical basis and data support for the further utilisation and culinary processing of smooth muscle. 相似文献
6.
《Journal of dairy science》2022,105(3):2119-2131
High-pressure-jet (HPJ) processing of various dairy systems has been shown to disrupt fat droplets and casein micelles and cause a strong association between fat and casein proteins. The present work seeks to better describe this association between fat and casein using a model milk formulated from confectionary coating fat (3.6% wt/wt), micellar casein (3.4% wt/wt), and water (93% wt/wt), which was then pasteurized, homogenized, and then either HPJ-treated (400 MPa) or not (non-HPJ-treated, control). Upon ultracentrifugation, fat in the non-HPJ-treated model milk creamed due to its low density. In the HPJ-treated model milk, fat precipitated with protein into a thick bottom layer upon ultracentrifugation, reflecting a strong association between protein and fat. Differential scanning calorimetry (DSC) and time-domain nuclear magnetic resonance of the non-HPJ-treated model milk revealed fat in 2 physical states: (1) fat that is physically similar to the bulk fat and (2) fat that was in smaller droplets (i.e., homogenized) and crystallized at a lower temperature than the bulk fat. In contrast, DSC of HPJ-treated model milks supported the presence of fat in 3 states: (1) fat that is physically similar to the bulk fat, (2) fat in small droplets that required substantial supercooling beyond the non-HPJ-treated model milk to crystallize, and (3) fat in such small domains that it crystallizes in a less stable polymorphic form than the non-HPJ-treated model milk (or does not crystallize at all). The state of fat within the HPJ-treated model milk changed minimally with acidification, indicating that the association is not dependent on the charge on the casein. Cryogenic transmission electron microscopy (Cryo-TEM) of the non-HPJ-treated model milk revealed uniform casein micelles, which likely adsorbed to the surface of fat globules post-homogenization. In contrast, Cryo-TEM of the HPJ-treated model milk revealed a porous protein aggregate that likely had dispersed fat throughout. Together, these results suggest that HPJ treatment causes fat to be entrapped by casein proteins in very small domains. 相似文献
7.
Tanzila Saba Amjad Rehman Mirza Naveed Shahzad Rabia Latif Saeed Ali Bahaj Jaber Alyami 《Microscopy research and technique》2022,85(6):2083-2094
Early detection of post-traumatic stress disorder (PTSD) is essential for proper treatment of the patients to recover from this disorder. The aligned purpose of this study was to investigate the performance deviations in regions of interest (ROI) of PTSD than the healthy brain regions, to assess interregional functional connectivity and applications of machine learning techniques to identify PTSD and healthy control using resting-state functional magnetic resonance imaging (rs-fMRI). The rs-fMRI data of 10 ROI was extracted from 14 approved PTSD subjects and 14 healthy controls. The rs-fMRI data of the selected ROI were used in ANOVA to measure performance level and Pearson's correlation to investigate the interregional functional connectivity in PTSD brains. In machine learning approaches, the logistic regression, K-nearest neighbor (KNN), support vector machine (SVM) with linear, radial basis function, and polynomial kernels were used to classify the PTSD and control subjects. The performance level in brain regions of PTSD deviated as compared to the regions in the healthy brain. In addition, significant positive or negative functional connectivity was observed among ROI in PTSD brains. The rs-fMRI data have been distributed in training, validation, and testing group for maturity, implementation of machine learning techniques. The KNN and SVM with radial basis function kernel were outperformed for classification among other methods with high accuracies (96.6%, 94.8%, 98.5%) and (93.7%, 95.2%, 99.2%) to train, validate, and test datasets, respectively. The study's findings may provide a guideline to observe performance and functional connectivity of the brain regions in PTSD and to discriminate PTSD subject using only the suggested algorithms. 相似文献
8.
9.
自新疆玛湖发现特大型砾岩油藏以来,砾岩油气藏的勘探与开发越来越受到重视。但砾岩油气藏具有很强的非均质性,导致储层识别和评价都非常困难。本次研究以HM工区上乌尔禾组为例,将砾岩储层分为五类,用球管模型对核磁回波进行优化反演,得到优化T2谱,并采用12个谱形态参数刻画优化T2谱。12个谱形态参数和谱特征值分别构成谱形态预测向量和联合预测向量,并用支持向量机(SVM)分别对该两个向量进行训练,建立储层物性分类参数的预测模型。将预测模型处理的结果与储层物性参数、油气产量进行对比、分析,发现储层物性分类参数与储层物性具有很好的相关性,与储层测试产量具有很好的一致性。对比结果表明,基于球管模型优化反演的T2谱形态参数及特征值,可很好地刻画砾岩油气藏的物性特征。该研究成果有助于提高砾岩油气藏的分类评价质量和可靠性,并为高效开采砾岩油气藏提供测井技术支撑。 相似文献
10.
采用有限元方法在考虑放大器影响的情况下(简称整体法)对6082-T6铝合金母材及其接头的超声疲劳试样进行了尺寸设计,并与采用传统解析法设计的超声疲劳试样尺寸进行了对比. 结果表明,采用整体法得到的试样的共振频率与试验频率更接近,且几乎不受预紧力和外加载荷影响,但应力位移系数与传统解析法有较大差别. 同时采用两种方法对6082-T6铝合金搅拌摩擦焊接头在应力比R = ?1和R = 0.1下的超声疲劳试验数据进行对比分析,发现当R = ?1时采用整体法得到的疲劳强度偏高,而当R = 0.1时两种方法几乎无差别. 相似文献