1,477 research outputs found

    Identification and quantification of anthocyanins in transgenic purple tomato

    Get PDF
    Citation: Su, X., Xu, J., Rhodes, D., Shen, Y., Song, W., Katz, B., … Wang, W. (2016). Identification and quantification of anthocyanins in transgenic purple tomato. Food Chemistry, 202, 184–188. https://doi.org/10.1016/j.foodchem.2016.01.128Anthocyanins are natural pigments derived from the phenylpropanoid pathway. Most tomatoes produce little anthocyanins, but the transgenic purple tomato biosynthesizes a high level of anthocyanins due to expression of two transcription factors (Del and Ros1). This study was to identify and quantify anthocyanins in this transgenic tomato line. Seven anthocyanins, including two new anthocyanins [malvidin-3-(p-coumaroyl)-rutinoside-5-glucoside and malvidin-3-(feruloyl)-rutinoside-5-glucoside], were identified by LC-MS/MS. Petunidin-3-(trans-coumaroyl)-rutinoside-5-glucoside and delphinidin-3-(trans-coumaroyl)-rutinoside-5-glucoside were the most abundant anthocyanins, making up 86% of the total anthocyanins. Compared to undetectable anthocyanins in the wild type, the contents of anthocyanins in the whole fruit, peel, and flesh of the Del/Ros1-transgenic tomato were 5.2 ± 0.5, 5.1 ± 0.5, and 5.8 ± 0.3 g/kg dry matter, respectively. Anthocyanins were undetectable in the seeds of both wide-type and transgenic tomato lines. Such novel and high levels of anthocyanins obtained in this transgenic tomato may provide unique functional products with potential health benefits

    Meta_data.zip

    No full text
    Data from Weixing Liu, Lin Jiang, Sen Yang, Zhou Wang, Rui Tian, Ziyang Peng, Yongliang Chen, Xingxu Zhang, Jialiang Kuang, Ning Ling, Shaopeng Wang; Lingli Liu. Critical transition of soil bacterial diversity and composition triggered by nitrogen enrichment</b

    Robust mixture regression model fitting by Laplace distribution

    Get PDF
    A robust estimation procedure for mixture linear regression models is proposed by assuming that the error terms follow a Laplace distribution. Using the fact that the Laplace distribution can be written as a scale mixture of a normal and a latent distribution, this procedure is implemented by an EM algorithm which incorporates two types of missing information from the mixture class membership and the latent variable. Finite sample performance of the proposed algorithm is evaluated by simulations. The proposed method is compared with other procedures, and a sensitivity study is also conducted based on a real data set

    Supplemental Material—Improving actuation strain and breakdown strength of natural rubber dielectric elastomers incorporated with AlN with silane grafting

    No full text
    Supplemental Material for Improving actuation strain and breakdown strength of natural rubber dielectric elastomers incorporated with AlN with silane grafting by Mengnan Ruan, Bo Li, Dandan Guo, Weixing Nie, Shenao Wang, and Zhifeng Liu in the Journal of Elastomers & Plastics.</p

    Prevalence of Anemia, Underweight and Stunting in 342 Districts of India

    No full text
    This document presents the prevalence of anemia, underweight and stunting among children, adolescent and women for 342 Districts (17 States and 5 Union Territories) of India from the fourth (2015-16) and fifth (2019-20) National Family Health Survey (NFHS) and percentage point changes between the two surveys

    Temperature Drop Transportation Scheme Optimization of Oil Gathering and Transportation System in Weixing Oilfield

    No full text
    Wax crystallization characteristics, properties of viscosity-temperature and cold rheological properties of crude oil systems with different water cut are studied to analyze the feasibility and advantages of developing temperature drop gathering and transportation in Weixing Oilfield. On the basis of the characteristics of single pipe loop gathering and transportation technological process, an optimization mathematical model for oil gathering and transporting system operation is established, which objective function is the minimum energy consumption of the system. And to solve the model, the hierarchic optimization strategy is adopted. Optimization results of No.1 department and No.2 department showed that the water blending temperature is reduced more than 8°C and the water blending amount is decreased 20%. According to the optimization scheme, the saving on gas and electricity are 7.12×105m3 and 8.92×105kW•h each year.</jats:p

    PrCo5 nanoflakes prepared by surfactant-assisted ball milling at low temperature

    No full text
    Rare-earth permanent magnetic nanoflakes and nanoparticles have drawn great attention due to their potential applications in fabricating permanent magnets with high performance. In this work, the anisotropic PrCo5 nanoflakes were fabricated via surfactant-assisted ball milling at low temperature and room temperature, and the morphology, microstructure, and magnetic properties were investigated systematically. It is found that, compared with the sample milled at room temperature, the PrCo5 nanoflakes prepared at low temperature have a better crystallinity, stronger [001] out-of-plane texture, more regular shape with smaller thickness, and excellent magnetic properties, especially a higher degree of grain alignment and larger remanence ratio (M-r/M-s). (C) 2015 Author(s)

    Computer vision for rock aggregates

    No full text
    Measurement of size, shape and texture of aggregates (rockparticles) is often used in geological mapping, rockclassification, quarry and mine production. The size ofaggregates varies from micro-meters to meters, and the types ofaggregates may be classified as natural (i.e. sandstone, graveland 'natural blocks') and artificial (i.e. rock fragmentation).Methods of measurements may be based on manual, mechanical andcomputer vision (image analysis) approaches, of which thelatter has been applied for the last fifteen years. Theadvantages of computer vision method compared to the othermethods are: (1) high speed measurements with a potential highaccuracy; (2) the more tolerable limitation of aggregate size;(3) possible on-line systems for industrial application; and(4) measurements of objects which are manually inaccessible (i.e. blocks on a cliff ). in theresearch area of computervision, objects delineation (segmentation) has been achallenging subject since 1970's, especially for aggregateimages with random noise and overlapping of particles. Size,shape and texture of aggregates are also difficult to determinein applied geology, mining, mineral processing, quarryproduction, building industry, railway and high-wayconstructions.This thesis gives a summary of research achievements in thearea of computer vision for rock aggregates, and includes ninearticles for describing two computer vision systems (on-linesystems) for monitoring rock aggregates on a moving conveyorbelt and in a gravitational flow, respectively.The summary of the Ph.D. thesis, in addition to the contentsin the nine papers, presents also a literature review, and theseveral applications by using the computer vision systemsdeveloped by the author. The research achievements are based onthree sources of the published articles and reports. They are:(a) nine articles collected in this thesis, the major part inthe summary; (b) a Licentiate thesis by the author in 1994;some published articles and reports by the author or otherresearchers for evaluating and testing the systems or theoriesdeveloped or proposed by the author. The collected papers inthe thesis mainly deal with: (1) image acquisition foraggregates in motion (paper A); (2) an approach for estimationof average size of densely packed particles based on textureanalysis (papers (B); (3) automatic selection of aggregateimages for segmentation (Paper C); (4) an adaptive thresholdingalgorithm for image binarization (paper D); (5) an algorithmfor splitting touching particles in a binary image (paper E);(6) size and shape measurements, and comparison between sievingand image analyses (papers F-G); and (7) field study of on-linesystems for aggregates on a conveyor belt and in agravitational flow (papers H-I).Key words:image acquisition; image segmentation;splitting touching particles; aggregate particles; size, shapeand texture; gravitational flow; conveyor belt; rockpile; imagedistortion; gray value; edge density; split-and-merge.</p
    corecore