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5. Hydrogen‐Bonded Organic Framework to Upgrade Cycling Stability and Rate Capability of Li‐CO2 Batteries.

Author

Cheng, Zhibin, Fang, Yanlong, Yang, Yisi, Zhang, Hao, Fan, Zhiwen, Zhang, Jindan, Xiang, Shengchang, Chen, Banglin, and Zhang, Zhangjing

Subjects
*CYANO group, *STORAGE batteries, *CARBON dioxide, *ELECTROCATALYSTS
Abstract

Elaborately designed multifunctional electrocatalysts capable of promoting Li+ and CO2 transport are essential for upgrading the cycling stability and rate capability of Li‐CO2 batteries. Hydrogen‐bonded organic frameworks (HOFs) with open channels and easily functionalized surfaces hold great potential for applications in efficient cathodes of Li‐CO2 batteries. Herein, a robust HOFS (HOF‐FJU‐1) is introduced for the first time as a co‐catalyst in the cathode material of Li‐CO2 batteries. HOF‐FJU‐1 with cyano groups located periodically in the pore can induce homogeneous deposition of discharge products and accommodate volumetric expansion of discharge products during cycling. Besides, HOF‐FJU‐1 enables effective interaction between Ru0 nanoparticles and cyano groups, thus forming efficient and uniform catalytic sites for CRR/CER. Moreover, HOF‐FJU‐1 with regularly arranged open channels are beneficial for CO2 and Li+ transport, enabling rapid redox kinetic conversion of CO2. Therefore, the HOF‐based Li‐CO2 batteries are capable of stable operation at 400 mA g−1 for 1800 h and maintain a low overpotential of 1.96 V even at high current densities up to 5 A g−1. This work provides valuable guidance for developing multifunctional HOF‐based catalysts to upgrade the longevity and rate capability of Li‐CO2 batteries. [ABSTRACT FROM AUTHOR]

Published
2023
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7. Identification of QTNs Controlling 100-Seed Weight in Soybean Using Multilocus Genome-Wide Association Studies

Author

Qi, Zhongying, primary, Song, Jie, additional, Zhang, Kaixin, additional, Liu, Shulin, additional, Tian, Xiaocui, additional, Wang, Yue, additional, Fang, Yanlong, additional, Li, Xiyu, additional, Wang, Jiajing, additional, Yang, Chang, additional, Jiang, Sitong, additional, Sun, Xu, additional, Tian, Zhixi, additional, Li, Wenxia, additional, and Ning, Hailong, additional

Published
2020
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8. Quantitative Trait Locus Analysis of Protein and Oil Content in Response to Planting Density in Soybean (Glycine max [L.] Merri.) Seeds Based on SNP Linkage Mapping

Author

Tian, Xiaocui, primary, Zhang, Kaixin, additional, Liu, Shulin, additional, Sun, Xu, additional, Li, Xiyu, additional, Song, Jie, additional, Qi, Zhongying, additional, Wang, Yue, additional, Fang, Yanlong, additional, Wang, Jiajing, additional, Jiang, Sitong, additional, Yang, Chang, additional, Tian, Zhixi, additional, Li, Wen-Xia, additional, and Ning, Hailong, additional

Published
2020
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10. Linkage Analysis and Multi-Locus Genome-Wide Association Studies Identify QTNs Controlling Soybean Plant Height

Author

Fang, Yanlong, primary, Liu, Shulin, additional, Dong, Quanzhong, additional, Zhang, Kaixin, additional, Tian, Zhixi, additional, Li, Xiyu, additional, Li, Wenbin, additional, Qi, Zhongying, additional, Wang, Yue, additional, Tian, Xiaocui, additional, Song, Jie, additional, Wang, Jiajing, additional, Yang, Chang, additional, Jiang, Sitong, additional, Li, Wen-Xia, additional, and Ning, Hailong, additional

Published
2020
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11. Mapping QTL underlying plant height at three development stages and its response to density in soybean [Glycine max (L.) Merri.]

Author

Dong, Quanzhong, primary, Zhang, Kaixin, additional, Sun, Xu, additional, Tian, Xiaocui, additional, Qi, Zhongying, additional, Fang, Yanlong, additional, Li, Xiyu, additional, Wang, Yue, additional, Song, Jie, additional, Wang, Jiajing, additional, Yang, Chang, additional, Jiang, Sitong, additional, Li, Wen-Xia, additional, and Ning, Hailong, additional

Published
2020
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14. Mapping QTL affecting the vertical distribution and seed set of soybean [Glycine max (L.) Merr.] pods

Author

Liu, Shiping, primary, Xue, Hong, additional, Zhang, Kaixin, additional, Wang, Ping, additional, Su, Daiqun, additional, Li, Wenbin, additional, Xu, Shichao, additional, Zhang, Jianan, additional, Qi, Zhongying, additional, Fang, Yanlong, additional, Li, Xiyu, additional, Wang, Yue, additional, Tian, Xiaocui, additional, Song, Jie, additional, Wang, Jiajing, additional, Yang, Chang, additional, Jiang, Sitong, additional, Li, Wen-Xia, additional, and Ning, Hailong, additional

Published
2019
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15. Identification of QTNs Controlling Seed Protein Content in Soybean Using Multi-Locus Genome-Wide Association Studies

Author

Zhang, Kaixin, primary, Liu, Shulin, additional, Li, Wenbin, additional, Liu, Shiping, additional, Li, Xiyu, additional, Fang, Yanlong, additional, Zhang, Jun, additional, Wang, Yue, additional, Xu, Shichao, additional, Zhang, Jianan, additional, Song, Jie, additional, Qi, Zhongying, additional, Tian, Xiaocui, additional, Tian, Zhixi, additional, Li, Wen-Xia, additional, and Ning, Hailong, additional

Published
2018
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16. Mapping QTL underlying plant height at three development stages and its response to density in soybean [Glycine max(L.) Merri.]

Author

Dong, Quanzhong, Zhang, Kaixin, Sun, Xu, Tian, Xiaocui, Qi, Zhongying, Fang, Yanlong, Li, Xiyu, Wang, Yue, Song, Jie, Wang, Jiajing, Yang, Chang, Jiang, Sitong, Li, Wen-Xia, and Ning, Hailong

Abstract

AbstractTo keep plant height (PH) stable in various densities, mapping QTL underlying te response of PH to density is of importance for soybean breeding. In this study, two soybean RIL populations were planted under two densities in two environments and PH at the pod-bearing stage (PBS), seed-filling stage (SFS) and maturity stage (MS) were measured to identify QTL controlling PH and its response to density increment. Expression of QTL controlling PH varied due to the change of seeding density, and the response to density (RD) of PH at SFS and MS surpassed that at PBS in both populations. Total 25 PH QTL and 8 RD QTL were identified which functioned on PH at three developmental stages. Of 25 PH QTL, 14, 8 and 8 were detected at PBS, SFS and MS, respectively. Three QTL could be expressed at two stages, and thirteen, seven and six QTL played roles separately at PDS, SFS and MS, respectively. Four QTL were expressed in the two seeding densities, and twelve and ten QTL showed effects specifically at low and high seeding density, respectively. Among eight RD QTL, five, two and one acted on PH at PBS, SFS and MS, and five and three QTL functioned in two environments, respectively. The information found in the present research lays the foundation for molecular design breeding on improving PH with stability in multiple densities in soybean.

Published
2020
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17. Mapping QTL affecting the vertical distribution and seed set of soybean [Glycinemax (L.) Merr.] pods

Author

Liu, Shiping, Xue, Hong, Zhang, Kaixin, Wang, Ping, Su, Daiqun, Li, Wenbin, Xu, Shichao, Zhang, Jianan, Qi, Zhongying, Fang, Yanlong, Li, Xiyu, Wang, Yue, Tian, Xiaocui, Song, Jie, Wang, Jiajing, Yang, Chang, Jiang, Sitong, Li, Wen-Xia, and Ning, Hailong

Abstract

Number of pods per plant and number of seeds per pod are quantitative, multigenic traits and important components of yield in soybean [Glycinemax (L.) Merr.]. Pods are distributed unevenly in the upper, middle, and lower segments of the plant and this distribution is affected by sowing date (SD). A population of four-way recombinant inbred lines (FW-RIL), containing 160 F2:8individuals, was generated from the cross (Kenfeng 14 × Kenfeng 15) × (Heinong 48 × Kenfeng 19). A linkage map consisting of 275 simple sequence repeat (SSR) markers was used to map quantitative trait loci (QTL) associated with the production of one, two, three, and four seeds per pod in the upper, middle, and lower segments of plants at two SDs, totaling 12 measurements per SD. A wide range of variation in the twelve characteristics was observed among the four parental lines and the FW-RIL population at the two SDs. The effect of SD2 (May 17, 2016) on pod number was stronger than that of SD1 (May 7, 2016) because the heritability of each trait in the SD1 experiment was generally greater than that of SD2. The study identified 76 QTL controlling pod number, with the phenotypic variation explained by each QTL ranging from 1.86% to 13.71%. The numbers of QTL controlling one, two, three, and four seeds per pod were 28, 23, 23, and 23, respectively. There were 30, 28, and 28 QTL controlling the pod number in the upper, middle, and lower segments of the plant, respectively. Forty-five QTL were identified at SD1 and 38 QTL were identified at SD2. Seventeen QTL were associated with pod-number traits. The QTL qPN-A1–3was associated with the number of pods containing one seed in the middle segment of the plant at both SDs. Sixty-three QTL were published QTL (common areas existed when integrating on a map GmComposite2003 of Wm82 based on left and right markers). and 13 QTL related to pod number were newly discovered. These results provide a reference for breeders to improve soybean yield by combining advantageous alleles for these QTL. Future studies may reveal candidate genes for these QTL and identify causal alleles for marker-assisted selection.

Published
2019
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18. Hydrogen-Bonded Organic Framework to Upgrade Cycling Stability and Rate Capability of Li-CO 2 Batteries.

Author

Cheng Z, Fang Y, Yang Y, Zhang H, Fan Z, Zhang J, Xiang S, Chen B, and Zhang Z

Abstract

Elaborately designed multifunctional electrocatalysts capable of promoting Li + and CO 2 transport are essential for upgrading the cycling stability and rate capability of Li-CO 2 batteries. Hydrogen-bonded organic frameworks (HOFs) with open channels and easily functionalized surfaces hold great potential for applications in efficient cathodes of Li-CO 2 batteries. Herein, a robust HOF S (HOF-FJU-1) is introduced for the first time as a co-catalyst in the cathode material of Li-CO 2 batteries. HOF-FJU-1 with cyano groups located periodically in the pore can induce homogeneous deposition of discharge products and accommodate volumetric expansion of discharge products during cycling. Besides, HOF-FJU-1 enables effective interaction between Ru 0 nanoparticles and cyano groups, thus forming efficient and uniform catalytic sites for CRR/CER. Moreover, HOF-FJU-1 with regularly arranged open channels are beneficial for CO 2 and Li + transport, enabling rapid redox kinetic conversion of CO 2 . Therefore, the HOF-based Li-CO 2 batteries are capable of stable operation at 400 mA g -1 for 1800 h and maintain a low overpotential of 1.96 V even at high current densities up to 5 A g -1 . This work provides valuable guidance for developing multifunctional HOF-based catalysts to upgrade the longevity and rate capability of Li-CO 2 batteries., (© 2023 Wiley-VCH GmbH.)

Published
2023
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19. Mo 2 N-ZrO 2 Heterostructure Engineering in Freestanding Carbon Nanofibers for Upgrading Cycling Stability and Energy Efficiency of Li-CO 2 Batteries.

Author

Cheng Z, Wu Z, Chen J, Fang Y, Lin S, Zhang J, Xiang S, Zhou Y, and Zhang Z

Abstract

Li-CO 2 batteries have attracted considerable attention for their advantages of CO 2 fixation and high energy density. However, the sluggish dynamics of CO 2 reduction/evolution reactions restrict the practical application of Li-CO 2 batteries. Herein, a dual-functional Mo 2 N-ZrO 2 heterostructure engineering in conductive freestanding carbon nanofibers (Mo 2 N-ZrO 2 @NCNF) is reported. The integration of Mo 2 N-ZrO 2 heterostructure in porous carbons provides the opportunity to simultaneously accelerate electron transport, boost CO 2 conversion, and stabilize intermediate discharge product Li 2 C 2 O 4 . Benefiting from the synchronous advantages, the Mo 2 N-ZrO 2 @NCNF catalyst endows the Li-CO 2 batteries with excellent cycle stability, good rate capability, and high energy efficiency even under high current densities. The designed cathodes exhibit an ultrahigh energy efficiency of 89.8% and a low charging voltage below 3.3 V with a potential gap of 0.32 V. Remarkably, stable operation over 400 cycles can be achieved even at high current densities of 50 µA cm -2 . This work provides valuable guidance for developing multifunctional heterostructured catalysts to upgrade longevity and energy efficiency of Li-CO 2 batteries., (© 2023 Wiley-VCH GmbH.)

Published
2023
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