27 research outputs found

    Percentage of Meili grape berries in different density classes.

    No full text
    Percentage of Meili grape berries in different density classes.</p

    Significant individual phenolic compounds in the wine produced from Meili grapes based on density classes (mg L<sup>-1</sup>).

    No full text
    <p>Significant individual phenolic compounds in the wine produced from Meili grapes based on density classes (mg L<sup>-1</sup>).</p

    Physical and technological maturity parameters of Meili grapes at harvest based on berry density classes.

    No full text
    <p>Physical and technological maturity parameters of Meili grapes at harvest based on berry density classes.</p

    Significant individual phenolic compounds in the skin of Meili grapes based on density classes (μg g<sup>-1</sup> skin).

    No full text
    <p>Significant individual phenolic compounds in the skin of Meili grapes based on density classes (μg g<sup>-1</sup> skin).</p

    Phenolic content of Meili grapes and wine at different density levels.

    No full text
    <p>(A) Skin, (B) Seed, (C) Wine. D3 = 1076 kg m<sup>-3</sup>, D4 = 1082 kg m<sup>-3</sup>, D5 = 1089 kg m<sup>-3</sup>. TPC: total phenolic content expressed as gallic acid equivalent (GAE); TFOC: total flavonoid content expressed as rutin equivalent (RE); TFAC: total flavanol content expressed as (+)-catechin equivalents (CE); TMAC: total monomeric anthocyanin content expressed as cyanidin 3-glucoside equivalent (C3GE). Different letters within the same column indicate significant differences among the different density levels (LSD test; <i>P</i>≤0.05).</p

    Antioxidant capacity of Meili grapes and wines at different density levels.

    No full text
    Antioxidant capacity of Meili grapes and wines at different density levels.</p

    Controlled Preparation of Zn–Co–S Nanosheet Arrays for High-Performance All-Solid-State Supercapacitors

    No full text
    To develop new-generation all-solid-state hybrid supercapacitors (HSCs), bimetal sulfides are important electrode materials because of their superior electrochemical activity. A controlled self-sacrifice template strategy was explored to prepare a Zn–Co–S nanosheet array (NSA) as an electrode material. This controlled procedure contains three steps including the facile formation of a NSA on Ni foam (NF), the conversion of bimetal oxide by annealing in air, and the translation of bimetal sulfide through a S2– anion-exchange reaction. A specific capacitance of 1904 F g–1 (952 C g–1) at 1 A g–1 is demonstrated by the Zn–Co–S NSA/NF. In addition, we incorporated the Zn–Co–S NSA/NF into a HSC and verified its excellent energy density and stability over 5000 cycles. This research provides a feasible strategy to rationally prepare bimetal sulfides for energy storage devices

    Table_1_Comparative Transcriptome Analysis Reveals New lncRNAs Responding to Salt Stress in Sweet Sorghum.docx

    No full text
    Long non-coding RNAs (lncRNAs) can enhance plant stress resistance by regulating the expression of functional genes. Sweet sorghum is a salt-tolerant energy crop. However, little is known about how lncRNAs in sweet sorghum respond to salt stress. In this study, we identified 126 and 133 differentially expressed lncRNAs in the salt-tolerant M-81E and the salt-sensitive Roma strains, respectively. Salt stress induced three new lncRNAs in M-81E and inhibited two new lncRNAs in Roma. These lncRNAs included lncRNA13472, lncRNA11310, lncRNA2846, lncRNA26929, and lncRNA14798, which potentially function as competitive endogenous RNAs (ceRNAs) that influence plant responses to salt stress by regulating the expression of target genes related to ion transport, protein modification, transcriptional regulation, and material synthesis and transport. Additionally, M-81E had a more complex ceRNA network than Roma. This study provides new information regarding lncRNAs and the complex regulatory network underlying salt-stress responses in sweet sorghum.</p
    corecore