基于Scopus的植物表型组学研究进展分析

Bibliometric analyses are capable of demonstrating the history and the tendency of scientific and technological development. This article aims to use big scientific data to explore the present status of plant phenomics, based on which sound recommendations could be provided for the development of this emerging research domain. [Methods] Based on academic outputs such as research publications, citations, collaborations, research areas, academic organizations, and authors retrieved from the Scopus database between 2013 and September 2018, statistical analysis tools such as SciVal and CiteSpace 5.0 were applied to quantitatively visualize the development and tendency of plant phenotyping, plant phenomics, and related research areas. [Results] This Scopus-based research has retrieved 20 953 articles that are related to plant phenotyping, plant phenomics, and related applications in plant research, with a total citation of 217 105 and 2.0% of them are TOP1% highly cited papers. According to total citations, the TOP10 countries are the United States, China, Germany, the United Kingdom, France, Japan, Australia, Spain, Canada, and the Netherlands. The TOP10 research organizations based on total citations are Chinese Academy of Sciences (CAS), Institut National de la Recherche Agronomique (INRA), the US Department of Agriculture, Centre National de la Recherche Scientifique (CNRS), Chinese Academy of Agricultural Sciences, Cornell University, Spanish National Research Council, University of California at Davis, Universite Paris-Sacly, and Wageningen University & Research. The scholar with the most academic outputs is Alisdair Robert Fernie at the Koch Planck Institute of Molecular Plant Physiology, Germany. He has published 58 papers using plant cellular phenotypes and was cited 1 246 times. At present, plant phenomics research has focused on a number of plant species, including Arabidopsis, rice, wheat, corn, tomato and soybean. [Conclusion] As an emerging research domain, plant phenomics requires interdisciplinary efforts to integrate agriculture, cultivation, breeding, and other plant biological research with computing sciences. In particular, high-throughput image analysis and related data analysis has become an important research theme at the present stage, with the topical saliency index reaches 98.8%, a very high relevance score

Synthesis of Fluorescent Carbon Dots by Gastrointestinal Fluid Treatment of Mongolia Har Gabur

Har Gabur is the carbide obtained from pig manure by burning. The fluorescent carbon dots (CDs) of Har Gabur were successfully synthesized through simulating the digestion process of human gastrointestinal tract. Transmission Electron Microscope (TEM) analysis showed that the average size of the prepared Har Gabur CDs was 4 nm, with good solubility in water and strong fluorescence under UV irradiation. The X-ray and Raman results showed that the Har Gabur CDs were mainly composed of oxygen “O” and carbon “C” elements, in the forms of “C=O” and “C-O.” The bond energy results showed that the nitrogen “N” atom presented as “C-N” form, which indicated that Har Gabur CDs also contain “N.” In photobleaching assay, Har Gabur CDs showed excellent light stability compared with ordinary organic dye, fluorescein, and Rhodamine B. The fluorescence intensity of Har Gabur CDs was fairly stable within a wide pH range of 3–10. When L-lysine and L-cysteine were applied for the passivation stage, the relative quantum yields were improved by 1.53 and 3.68 times, respectively. Finally, the fluorescence properties of Har Gabur CDs were tested in cells and zebrafish, illustrating that Har Gabur CD has potential in the application of biological labeling and imaging