Selective production of arenes via direct lignin upgrading over a niobium-based catalyst.
Selective production of arenes via direct lignin upgrading over a niobium-based catalyst.
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通过铌基催化剂直接木质素升级选择性生产芳烃
DOI:
10.1038/ncomms16104
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发表时间:
2017-07-24
影响因子:
16.6
通讯作者:
Wang Y
中科院分区:
文献类型:
--
作者:
Shao Y;Xia Q;Dong L;Liu X;Han X;Parker SF;Cheng Y;Daemen LL;Ramirez-Cuesta AJ;Yang S;Wang Y
Lignin is the only large-volume renewable source of aromatic chemicals. Efficient depolymerization and deoxygenation of lignin while retaining the aromatic functionality are attractive but extremely challenging. Here we report the selective production of arenes via direct hydrodeoxygenation of organosolv lignin over a porous Ru/Nb2O5 catalyst that enabled the complete removal of the oxygen content from lignin. The conversion of birch lignin to monomer C7–C9 hydrocarbons is nearly quantitative based on its monomer content, with a total mass yield of 35.5 wt% and an exceptional arene selectivity of 71 wt%. Inelastic neutron scattering and DFT calculations confirm that the Nb2O5 support is catalytically unique compared with other traditional oxide supports, and the disassociation energy of Caromatic–OH bonds in phenolics is significantly reduced upon adsorption on Nb2O5, resulting in its distinct selectivity to arenes. This one-pot process provides a promising approach for improved lignin valorization with general applicability. Lignin is cheap and abundant, and potentially a major source of aromatic compounds. Here the authors show selective production of arenes via hydrodeoxygenation of lignin over Ru/Nb2O5, and mechanistically show the strong influence of the Nb2O5 support on phenolic bond dissociation energies.
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DOI:
10.1002/anie.201510351
发表时间:
2016-07-11
期刊:
Angewandte Chemie (International ed. in English)
影响因子:
--
作者:
Rinaldi R;Jastrzebski R;Clough MT;Ralph J;Kennema M;Bruijnincx PC;Weckhuysen BM
通讯作者:
Weckhuysen BM
影响因子:
8.4
作者:
Shao, Yi;Xia, Qineng;Wang, Yanqin
通讯作者:
Wang, Yanqin
影响因子:
15
作者:
Harris, EE;D'Ianni, J;Adkins, H
通讯作者:
Adkins, H
影响因子:
16.6
作者:
Ren, Yunlai;Yan, Mengjie;Yao, Kaisheng
通讯作者:
Yao, Kaisheng
影响因子:
15
作者:
Molinari, Valerio;Giordano, Cristina;Esposito, Davide
通讯作者:
Esposito, Davide