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1.
TiO2 quantum dots-sensitized Cu2S (Cu2S/TiO2) nanocomposites with varying concentration of TiO2 QDs are synthesized via a facile two-stage hydrothermal-wet impregnation method. X-ray diffraction analysis confirms the formation of Cu2S and TiO2with chalcocite and anatase phases, respectively. The observed shoulder-like absorption peaks indicate the UV–visible light-driven properties of the composite. Morphological analysis reveals that the fabricated Cu2S/TiO2 composite consists of Cu2S with a nano rod-like shape (average length and width of ~856 and ~213 nm, respectively) and nanosheets-like structures (average length and width of ~283 and ~289 nm, respectively), whereas the TiO2 is formed as quantum dots with a size range of 8.2 ± 0.4 nm. Chemical state analysis shows the presence of Cu+, S2?, Ni2+, and O2? in the nanocomposite. The H2 evolution rate over the optimized photocatalyst is found to be ~45.6 mmol h?1g?1cat under simulated solar irradiation, which is around 5 and 2.4-fold higher than that of the pristine TiO2 and Cu2S, respectively. Continuous H2 production for 30 h is achieved during time-on-stream experiments, demonstrating the excellent stability and durability of the Cu2S/TiO2 photocatalyst for large-scale applications.  相似文献   
2.
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   
3.
《Ceramics International》2022,48(11):14987-14992
The ceramic compound CaMoO4 is synthesized via a solid-state reaction technique. Rietveld refinement studies were done on the powder X-ray diffraction data of CaMoO4 and revealed that the compound is crystallized in the tetragonal Scheelite structure with I41/a space group. The differential scanning calorimetry (DSC) studies on CaMoO4 divulged an anomaly around 440 °C. This anomaly is further probed using the temperature-dependent Raman and dielectric spectroscopic measurements and are corroborating with the results obtained from DSC. A detailed investigation on the temperature-dependent Raman spectroscopic data revealed that the A1g mode of CaMoO4 showed a soft phonon behavior up to the phase transition temperature. It is observed that the A1g mode displayed phonon hardening behavior with further increasing the temperature. The anomaly is attributed to an isostructural phase transition (IPT), a rarely observed phenomenon in the compounds with Scheelite structure. The IPT in CaMoO4 is elucidated with a phonon softening mechanism.  相似文献   
4.
王娜  粟雯  张谛  江游  方向  岳磊 《质谱学报》2022,43(5):635-642
离子光谱结合了质谱的高灵敏度和光谱的分子结构特异性的优势,可对蛋白质、多肽、糖类、寡核苷酸等复杂体系进行结构表征和鉴定。但当存在同分异构体时,离子光谱难以从叠加的谱图中得到单个异构体的光谱信息。离子淌度质谱技术可通过区分待测离子质荷比和分子空间尺寸差异来实现异构体的分离。离子淌度可以对异构体分离后分别引入到后续的光谱和质谱分析中,减少了由异构体引起的光谱叠加问题,光谱可以进一步验证离子淌度的分离效果,因此质谱、光谱、离子淌度谱的有机结合在得到异构体精确光谱的同时,也为离子淌度质谱分析带来了新的维度和深度。本文概述了近20年来基于各类离子淌度质谱技术的光谱仪器发展和应用情况,总结目前存在的问题,并展望多维度结构质谱的新需求。  相似文献   
5.
张欣欣  李跑  余梅  蒋立文  刘霞  单杨 《食品科学》2022,43(1):260-268
柑橘是世界第一大水果,中国是柑橘生产和销售大国。现阶段我国柑橘产业存在各环节分离、加工技术粗糙、采后品质分级落后等问题,导致我国柑橘在国际市场上缺乏竞争力。对柑橘产品进行检测与分级是提高竞争力的有效手段,然而传统的柑橘品质检测手段如肉眼识别法、图像识别法、化学滴定法等存在费时费力、精度不高等缺陷,且化学滴定法等对样品具有破坏性,因此,开发快速、无损的柑橘品质检测新方法成为现阶段研究的热点和难点。近年来,基于近红外光谱技术的无损检测手段已在环境、医药、食品领域中得到了广泛应用。但是柑橘近红外光谱无损检测依旧存在机理不明、精度不够等问题,因此国内外科研工作者对其进行了大量研究。本文对国内外柑橘近红外光谱无损检测研究进行了归纳和总结,重点从近红外光谱技术检测柑橘类水果的可行性、光谱仪种类及参数的选择、化学计量学方法的优化等方面阐述了近红外光谱技术在柑橘类水果无损检测中的应用,并对其存在的问题提出了相关建议,以期为柑橘类水果无损检测提供一定的参考依据。  相似文献   
6.
To prevent the adulteration of agricultural resources and provide a solution to enhance the green coffee bean supply chain, authentication using the near-infrared spectroscopy (NIRS) technique was investigated. Partial least square with discrimination analysis (PLS-DA) models combined with various preprocessing methods were built from NIR spectra of 153 Vietnamese green coffee samples. The model combined with the standard normal variate and the first order of derivative yielded excellent performance in predicting coffee species with the error cross-validation of 0.0261. PLS-DA model of mean centre and first-order derivative spectra also yielded good performance in verifying geographical indication of green coffee with the error of 0.0656. By contrast, the predicting abilities of post-harvest methods were poor. The overall results showed a high potential of the NIRS in online authentication practices.  相似文献   
7.
《Journal of dairy science》2022,105(12):9496-9508
Cheese whey addition to milk is a type of fraud with high prevalence and severe economic effects, resulting in low yield for dairy products, nutritional reduction of milk and milk-derived products, and even some safety concerns. Nevertheless, methods to detect fraudulent addition of cheese whey to milk are expensive and time consuming, and are thus ineffective as screening methods. The Fourier-transform infrared (FTIR) spectroscopy technique is a promising alternative to identify this type of fraud because a large number of data are generated, and useful information might be extracted to be used by machine learning models. The objective of this work was to evaluate the use of FTIR with machine learning methods, such as classification tree and multilayer perceptron neural networks to detect the addition of cheese whey to milk. A total of 520 samples of raw milk were added with cheese whey in concentrations of 1, 2, 5, 10, 15, 20, 25, and 30%; and 65 samples were used as control. The samples were stored at 7, 20, and 30°C for 0, 24, 48, 72, and 168 h, and analyzed using FTIR equipment. Complementary results of 520 samples of authentic raw milk were used. Selected components (fat, protein, casein, lactose, total solids, and solids nonfat) and freezing point (°C) were predicted using FTIR and then used as input features for the machine learning algorithms. Performance metrics included accuracy as high as 96.2% for CART (classification and regression trees) and 97.8% for multilayer perceptron neural networks, with precision, sensitivity, and specificity above 95% for both methods. The use of milk composition and freezing point predicted using FTIR, associated with machine learning techniques, was highly efficient to differentiate authentic milk from samples added with cheese whey. The results indicate that this is a potential method to be used as a high-performance screening process to detected milk adulterated with cheese whey in milk quality laboratories.  相似文献   
8.
9.
采用盐雾腐蚀试验方法,研究了模拟海洋大气环境下XCS-lode钢与30CrNi3Mo钢的腐蚀性能,通过极化曲线及电化学阻抗谱(EIS)试验研究了两种钢在腐蚀行为上的差异。结果表明:XCS-lode钢相比30CrNi3Mo钢具有更高的自腐蚀电位, XCS-lode钢腐蚀产物膜的阻抗明显大于30CrNi3Mo钢,XCS-lode钢的耐海洋大气腐蚀性能优于30CrNi3Mo钢。  相似文献   
10.
利用X射线光电子能谱(XPS)及深度剖析技术,定量研究了SnO和SnO2在不同氩离子束能下化学损伤。0.5、1、2 keV的离子束能溅射后,SnO2无明显化学损伤;而SnO则出现不同程度的还原,分别产生了7.0%、15.3%、20.6%的Sn单质。实验还表明,同离子束能不同电流下,Sn2+还原程度相差无几。因而利用XPS及深度剖析技术对Sn焊料进行表面分析时,须选用尽可能低的束能以减少化学损伤。定性讨论了Sn价带,4d和3d电子层的图谱特征,并确定了用Sn 3d5图谱进行Sn价态的定量分析。利用获得的Sn0、Sn2+、Sn4+图谱参数,以模拟波峰焊的锡铜焊料为例,定量分析了Sn价态随深度的变化,结果表明,氧化层最表面主要为SnO2并逐步过渡到SnO。  相似文献   
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