Please cite this article in press as: Wu et al., Selectivity Control in Photocatalytic Valorization of Biomass-Derived Platform Compounds by Surface
ll
Article
Selectivity Control in Photocatalytic Valorization
of Biomass-Derived Platform Compounds
by Surface Engineering of Titanium Oxide
Xuejiao Wu,1,2 Jieqiong Li,1,2 Shunji Xie,1,2 Pengbo Duan,1 Haikun Zhang,1 Jun Feng,1
Qinghong Zhang,1, Jun Cheng, and Ye Wang
*
*
SUMMARY
The Bigger Picture
Photocatalysis has emerged as a
useful approach to the sustainable
production of value-added
Photocatalysis has offered a promising opportunity for selective
transformation of biomass to high-value chemicals or fuels under
mild conditions. Whereas titanium oxide has been widely used for
photocatalytic pollutant degradation, H2 evolution, and CO2 reduc-
tion, few studies have been devoted to TiO2-based photocatalytic
valorization of biomass or biomass-derived platform compounds.
Here, we report on surface-controlled photocatalysis of TiO2 for
selective valorization of furfurals and vanillin that are lignocellu-
lose-derived key platform compounds. The reaction can be switched
from hydrogenation of aldehyde group to C–C coupling by manipu-
lating exposed facets; furanic and aromatic alcohols or coupling
products, which are fine chemicals or jet-fuel precursors, could be
produced with high selectivity. Our studies elucidate that the
facet-dependent density of oxygen vacancies governs the charge
distribution and adsorption strength of surface species and thus
controls product selectivity. The present work offers an example
of selectivity control by engineering TiO2 surfaces for valorization
of biomass-derived feedstocks.
products from biomass, in which
selectivity is the key issue because
a number of transformations are
possible when multifunctional
biochemicals are the reactants. As
one of the most popular
photocatalysts, TiO2 has mainly
been applied to reactions like
pollutant degradation that
concern more about activity than
selectivity. The knowledge about
selectivity-controlling principles
for TiO2 is limited. Here, we report
the first illustration of TiO2-based
photocatalysis that succeeds in
modulating product selectivity in
bioplatform transformations. Fine
chemicals or jet-fuel precursors
have been produced in high yields
by controlling the density of
oxygen vacancies on TiO2, which
governs surface adsorption and
reaction and thus determines the
product selectivity. This work
offers useful insights into the
design of selective photocatalysts
for biomass valorization by surface
engineering.
INTRODUCTION
As one of the most popular photocatalysts, titanium dioxide (TiO2) has triggered
broad interest for decades and is still the focus of current intensive studies.1 Besides
strategies such as doping, sensitization, and heterojunction construction to facilitate
the light absorption and charge-carrier separation, much recent attention has been
paid to TiO2 surface engineering, because the interfacial charge-transfer process,
the substrate adsorption, activation, and reactions are dominated by surface prop-
erties.2–4 For examples, anatase TiO2 with high-energy {001} facet mainly exposed
was successfully fabricated,5 and the high-energy surface was found to favor the ac-
tivity in a number of photocatalytic reactions.3,6 However, so far only limited studies
have been devoted to surface-dependent selectivity control in TiO2 photocatalysis.7
This is partially because TiO2 has mainly been studied for pollutant degradation, H2
evolution, and CO2 reduction,1–4,6–8 and most of the studies in these fields have
been concerned more about activity than selectivity.
Recently, photocatalysis has shown great potential in the valorization of biomass or
biomass-derived platform compounds (bioplatforms).9,10 Thermocatalysis for
biomass transformations usually requires harsh reaction conditions such as elevated
temperatures and high pressures, which inevitably lead to undesirable side reactions
and low selectivity of target products. In contrast, photocatalysis can be performed
Chem 6, 1–16, November 5, 2020 ª 2020 Elsevier Inc.
1