Institution
China Jiliang University
Education•Hangzhou, China•
About: China Jiliang University is a education organization based out in Hangzhou, China. It is known for research contribution in the topics: Fiber optic sensor & Optical fiber. The organization has 9291 authors who have published 8932 publications receiving 95279 citations. The organization is also known as: China Institute of Metrology.
Papers published on a yearly basis
Papers
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TL;DR: In this paper, Z-scheme CdTe/TiO2 heterostructure photocatalysts were prepared by a hydrothermal method and the photocatalyst performance of as-prepared samples was evaluated by degradation of tetracycline hydrochloride (TC-H) under visible-light irradiation.
126 citations
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TL;DR: The integrated data on lignin, monolignol precursors, and associated enzymes and genes, provide a consistent model of fruit lignification.
Abstract: The ripening fruit of two loquat (Eriobotrya japonica Lindl.) cultivars with different levels of lignin accumulation provide an intriguing example of lignification in flesh tissue. Increase in firmness as a result of lignification in ripening red-fleshed Luoyangqing (LYQ) fruit was confirmed, whereas white-fleshed Baisha (BS) fruit softened without lignification. Six cDNAs associated with the lignification pathway, i.e. EjPAL1, EjPAL2 (phenylalanine ammonia lyase, PAL, EC 4.3.1.5), Ej4CL (4-coumarate: coenzyme A ligase, 4CL, EC 6.2.1.12), EjCAD1, EjCAD2 (cinnamyl alcohol dehydrogenase, CAD, EC 1.1.1.195) and EjPOD (peroxidase, POD), were cloned from flesh tissue of LYQ fruit. Expression profiles of the six corresponding genes differed greatly in different tissues, and during fruit development and ripening in both LYQ and BS cultivars. Associated activities of PAL, 4CL, CAD, and POD enzymes were also measured. CAD and POD enzyme activities and the expression of EjCAD1 and EjPOD genes were most closely associated temporally with lignification of loquat flesh tissue. Levels of EjCAD1 transcripts were particularly aligned with changes in lignification during ripening as modified either by ethylene treatment or low temperature conditioning. The two PAL genes showed different expression patterns during fruit development, with EjPAL1 strongly expressed in mature fruit and EjPAL2 only expressed in early stages of development. In addition, EjCAD1 expression was stimulated by low temperature and may contribute to low temperature injury in the fruit. Our integrated data on lignin, monolignol precursors, and associated enzymes and genes, provide a consistent model of fruit lignification.
125 citations
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TL;DR: Inspired by the structural tunability of Y3Al5O12 (YAG), a broadband NIR emission with a large full width at half maximum (FWHM) of 160 nm and a high internal quantum efficiency (IQE) of ∼75.9% was realized in Y3−xCaxAl5−xSixO12:0.6% Cr (x = 1) as mentioned in this paper.
Abstract: The rapid development of portable spectrometers has evoked a large demand for minimized light sources; meanwhile, NIR phosphor-converted light-emitting diodes (NIR pc-LEDs) are an optimal choice due to their compactness and low cost. The phosphors used in NIR spectroscopy (NIRS) are required to have broadband emission and high quantum efficiency (QE) for a wider detection range and efficient photo-to-electricity conversion. Inspired by the structural tunability of Y3Al5O12 (YAG), we proposed to achieve broadband emission by crystal field engineering, i.e., indirectly regulating the crystal field strength of Cr3+via the co-substitution of Y3+–Al3+ by Ca2+–Si4+ in YAG. The crystal field strength experienced on Cr3+ decreased as the octahedron was distorted and enlarged by the co-substitution. A broadband NIR emission with a large full width at half maximum (FWHM) of 160 nm and a high internal quantum efficiency (IQE) of ∼75.9% was realized in Y3−xCaxAl5−xSixO12:0.6% Cr (x = 1). The suitability of the investigated NIR phosphor was demonstrated by fabricating an NIR pc-LED prototype, and the detection resolution was improved by 30% compared to that of a traditional white pc-LED. These results indicate the great potential of the Y2CaAl4SiO12:Cr phosphors for use in highly precise and sensitive NIR pc-LEDs.
124 citations
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TL;DR: The state-of-the-art density functional theory calculations suggest that the 2D JTMD monolayers are promising for nanoelectronic, optoelectronics, and photocatalytic applications.
Abstract: Atomically thin Janus transition metal dichalcogenides (JTMDs) with an asymmetric structure have emerged as a new class of intriguing two-dimensional (2D) semiconductor materials. Using state-of-the-art density functional theory (DFT) calculations, we systematically investigate the structural, electronic, and optical properties of JTMD monolayers and heterostructures. Our calculated results indicate that the JTMD monolayers suffer from a bending strain but present high thermodynamic stability. All of them are semiconductors with a band-gap range from 1.37 to 1.96 eV. They possess pronounced optical absorption in the visible-light region and cover a large range of carrier mobilities from 28 to 606 cm2 V−1 s−1, indicating strong anisotropic characteristics. Significantly, some monolayer JTMDs (e.g., WSSe and WSeTe) exhibit superior mobilities than conventional TMD monolayers, such as MoS2. Moreover, the absolute band-edge positions of the JTMD monolayers are higher than the water redox potential, and most JTMD heterostructures have a type-II band alignment that contributes to the separation of carriers. Our work suggests that the 2D JTMD monolayers are promising for nanoelectronic, optoelectronic, and photocatalytic applications.
124 citations
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TL;DR: In this paper, for the first time, a Pt cocatalyst-modified BiFeO 3 (BFO) particles were successfully prepared through a hydrothermal-synthesis process followed by an impregnation process and a thermal reduction.
123 citations
Authors
Showing all 9388 results
Name | H-index | Papers | Citations |
---|---|---|---|
Jianjun Liu | 112 | 1040 | 71032 |
Jinghong Li | 112 | 465 | 48474 |
Yong Sik Ok | 102 | 854 | 41532 |
Tao Li | 102 | 2483 | 60947 |
Jianbin Xu | 78 | 680 | 25491 |
Peng Xu | 75 | 1151 | 25005 |
Wei Jin | 71 | 929 | 21569 |
Changyu Shen | 70 | 905 | 23455 |
Jing Li | 68 | 982 | 18991 |
Hao Zhang | 67 | 792 | 29169 |
Bo Li | 63 | 1072 | 19969 |
Zhixiang Chen | 62 | 116 | 18630 |
Wei Liu | 61 | 664 | 16536 |
Tingli Ma | 61 | 326 | 14181 |
Lixian Sun | 59 | 642 | 13690 |