Recent advances in heterogeneous catalysts for biocrude hydrodeoxygenation

Penghui Yan *ab, Eric M. Kennedy b, Hesamoddin Rabiee c, Yilun Weng d, Hong Peng a, Beibei Ma a, Zhonghua Zhu a and Michael Stockenhuber *b
aSchool of Chemical Engineering, University of, Queensland, St Lucia, QLD 4072, Australia. E-mail: Penghui.Yan@uq.edu.au
bChemical Engineering, School of Engineering, University of Newcastle, Callaghan, NSW 2308, Australia. E-mail: michael.stockenhuber@newcastle.edu.au
cDepartment of Chemistry, Biochemistry and Pharmaceutical Sciences, University Bern, Freiestrasse 3, CH-3012 Bern, Switzerland
dSchool of Agriculture and Food Sustainability, University of Queensland, St Lucia, QLD 4072, Australia

Received 9th October 2024 , Accepted 9th January 2025

First published on 10th January 2025


Abstract

Hydrodeoxygenation (HDO) of biocrude into chemicals and transportation fuels represents a promising avenue for the sustainable utilization of biomass-derived biocrude oil, obtained through pyrolysis or liquefaction. Catalysts play a pivotal role in this process, providing active metal sites for hydrogenation and hydrogenolysis, alongside acid sites for ring-opening, cracking, and C–O bond cleavage. Despite its potential, previous studies have often reported low HDO rates, leading to rapid catalyst deactivation and the formation of undesirable byproducts. Thus, the careful selection of catalysts that achieve an optimal balance between metal and acid functionality is critical. This review systematically examines the properties of biocrude produced by various techniques and the catalysts used in HDO of biocrude and its model compounds. Particular attention is given to the roles of sulfided metals, noble metals, non-noble metals as catalysts as well as various supports in HDO reactions. The influence of catalyst characteristics, including metal particle size, acid type and strength, and support structure, on HDO activity and product distribution is thoroughly analyzed. Additionally, factors contributing to catalyst deactivation are discussed. Finally, the review addresses current technical challenges and offers future perspectives on the development of catalysts with improved HDO activity and stability.


image file: d4gc05059b-p1.tif

Penghui Yan

Penghui Yan obtained his MSc from University of Chinese Academy of Sciences in 2013 and PhD degree in Chemical Engineering from the University of Newcastle in 2020. He worked at Shaanxi Yanchang Petroleum Group in 2013–2014, contributing to the pilot projects involving fast pyrolysis of coal and biomass. Currently, he is a research fellow at the University of Queensland. In the past 10 years, he has been engaged in the field of heterogeneous catalysis, with a specific focus on renewable energy. His research interests encompass natural zeolite utilisation, CO2 hydrogenation, biomass catalytic pyrolysis, and biofuel upgrading.

image file: d4gc05059b-p2.tif

Eric M. Kennedy

Eric Kennedy obtained his BSc (Pure and Applied Chemistry) with 1st Class Honours (1985) and PhD in Physical Chemistry (1989) from the University of NSW. He was a Research Fellow at Macquarie University before moving to the USA as a Research Fellow at Texas A&M and Yale. He joined the Department of Chemical Engineering at The University of Newcastle in 1994 and became a professor in 2006. His research focuses on process safety, environmental protection, and energy-related projects, including CO2 storage via mineral carbonation, non-destructive treatment of fluorinated gases, biomass conversion, plasma-based methane utilisation, and polyfluoroalklysubstances (PFAS) decomposition.

image file: d4gc05059b-p3.tif

Michael Stockenhuber

Michael Stockenhuber did his PhD at the Institute of Physical Chemistry TU Vienna which he was awarded with distinction in 1994 (Dr Techn.) He is now full Professor of Chemical Engineering at the University of Newcastle, Australia. Prof Stockenhuber is president of the Australian Catalysis Society and was awarded the Catalysis Development Excellence Award by APACS in 2023. His main research interest is heterogeneous catalysis with a special emphasis on structure-function relationships and process scaleup in particular for environmental catalysis applications. He is an expert in the use of spectroscopy using synchrotron radiation, XPS, IR and in situ techniques.



Green foundation

1. This review comprehensively examines the latest advancements in designing and developing heterogeneous catalysts for hydrodeoxygenation (HDO) of biocrude oil. Key topics include the role of bifunctional catalysts, novel supports, and strategies to enhance catalyst activity and stability while addressing environmental and economic concerns.

2. HDO of biocrude oil is vital for converting renewable biomass into sustainable, oxygen-free fuels and chemicals, reducing reliance on fossil fuels. This review connects laboratory-scale innovations to industrial applications, offering practical solutions to global energy and environmental challenges.

3. Advancing green chemistry in this field requires the development of cost-effective, earth-abundant catalysts and the integration of renewable hydrogen sources. Research should also focus on scalable processes operating under mild conditions to improve energy efficiency and sustainability. Insights provided here will guide future catalyst design and process optimization.


1. Introduction

Fossil fuels, including coal, natural gas, and petroleum, remain the cornerstone of global energy consumption, accounting for 81.5% of the world's energy use in 2023.1 However, the increasing reliance on these non-renewable resources poses significant challenges, including the depletion of fossil fuel reserves and environmental concerns, particularly the emission of CO2 during combustion.2 To address these issues, substantial efforts have been dedicated to the development of alternative, renewable energy sources capable of playing a critical role in future energy systems.

Biomass has emerged as a promising candidate for renewable liquid energy carriers due to its widespread availability and potential for carbon neutrality. Pyrolysis3–8 and liquefaction9,10 are the primary methods for converting biomass into organic liquid products known as biocrude oil. However, biocrude oil mostly is not a suitable fuel in its raw form, as it possesses undesirable properties such as high oxygen content, corrosiveness, high viscosity, and low heating value.11 Consequently, an upgrading process is necessary to remove oxygen and transform biocrude oil into hydrocarbons or green chemicals suitable for further use.

Hydrodeoxygenation (HDO) has emerged as a promising technology for upgrading biocrude oil, enabling the production of valuable chemicals, gasoline, diesel, and aviation fuel under relatively mild conditions (150–400 °C, atmospheric pressure to 5 MPa).12 During HDO, various reactions including hydrogenation, decarboxylation, decyclization, dehydration, hydrogenolysis, demethoxylation, transalkylation, ring-opening, and hydrocracking occur, leading to the removal of oxygen atoms such as CO2, CO, and H2O. Simultaneously, condensed aromatics undergo hydrogenation, ring-opening, and cracking, yielding lighter liquid hydrocarbons.

Bifunctional catalysts are critical in the HDO process, optimizing the yield of target products under suitable conditions. As summarized in Fig. 1, both noble metals (e.g., Ru,13,14 Pt,15 Pd,16 Rh17) and non-noble metals (e.g., Ni,18,19 Fe,20 Mo,21 Cu22) have been extensively studied for biocrude oil upgrading. Supports such as carbon,23 SiO2,24,25 metal oxides (e.g., Al2O3,26 MgO,27 Nb2O5,28,29 and mixed Nb2O5-ZrO230), synthetic zeolites (e.g., ZSM-5,31–33 Y,34 BEA,35,36 MOR,37 MCM-41,38–40 SBA-1541), and natural zeolites42,43 are widely used to provide large surface areas for active metal species and offer acidic sites that promote reactions like cracking, deoxygenation, ring-opening, and isomerization.


image file: d4gc05059b-f1.tif
Fig. 1 Overview of metals and supports used in the hydrodeoxygenation (HDO) of biocrude and its model compounds, focusing on the production of benzene, toluene and xylene (BTX) and cycloalkanes.

Numerous studies have explored the upgrading of biocrude oil, with particular attention to bifunctional catalysts,44–46 nickel metal,47 operating parameters,48 and reaction mechanisms.49 However, to our knowledge, the specific relationships between biocrude oil model compounds and catalyst properties (such as pore size and metal particle size) have not been thoroughly examined. This review aims to fill this gap by providing a comprehensive analysis of catalysts used for biocrude oil and its model compounds. We also explore in detail the effects of zeolite structure, acidity and metal particle size on catalyst HDO activity and product distribution. Additionally, we address key challenges, limitations, and current gaps in catalyst development for biocrude upgrading, offering insights for the advancement of more efficient catalysts applicable in both scientific research and industrial settings.

2. Biocrude properties and its upgrading approaches

Various types of biomass feedstocks, including sugars, vegetables oils and lignocellulosic biomass, are available for the production of biofuels.50 Bioethanol and biodiesel, which are produced from edible feedstock (sugar and vegetable oil) and known as first-generation biofuels, have seen an increase in production in some countries, attributing to the direct blending with conventional fossil fuels.51 The development of first-generation biofuel is restricted due to the competition with food supply and the limited feedstock source. An increasing number of studies have thus focused on second-generation biocrude oil, which are derived from pyrolysis or liquefaction of lignocellulosic biomass.52,53 A comparison of first-generation biofuel and second-generation biocrude is shown in Fig. 2.
image file: d4gc05059b-f2.tif
Fig. 2 A comparison of first-generation biofuel and second-generation biocrude.

Biocrude is a dark brown, oxygenated organic liquid produced through the depolymerization and fragmentation of the three primary biomass components: hemicellulose, cellulose, and lignin. This process occurs at high temperatures and/or via hydrothermal liquefaction under high pressure.11 Biocrude contains over 300 oxygenated compounds categorized by their predominant functional groups, including phenols, acids, esters, linear ketones, cyclic ketones, furans, cyclic hydrocarbons, and aromatics.54–56 The structures of the main compounds in biocrude are illustrated in Fig. 3. Among these, phenolic compounds are particularly abundant, accounting for up to 50 wt%. However, these phenolic species tend to polymerize, leading to low product stability, which in turn increases transportation and downstream processing costs. The phenolic components (e.g., phenol, guaiacol, cresols, and catechol) are primarily derived from the decomposition of lignin.


image file: d4gc05059b-f3.tif
Fig. 3 Major components of biocrude oil derived from pyrolysis or liquefaction of (1) hemicellulose, cellulose, and (2) lignin components of lignocellulosic biomass, the R can be H or methyl. This figure is drawn on the basis of information from ref. 71 and 72.

Although biocrude oil can be produced through relatively simple and efficient methods, its properties differ markedly from those of petroleum-derived oil, limiting its direct use as a transportation fuel in engines, combustion boilers, and similar equipment.67 The most significant difference between petroleum and biocrude is the latter's high oxygen content.54,68–70 Biocrude typically contains 20–40% oxygen, which imparts several undesirable properties, including high viscosity, high acidity, low heating value, corrosiveness, and low stability.66 Despite these challenges, biocrude also offers several advantageous characteristics, such as high lubricity, low sulfur content, biodegradability compared to fossil fuels.

Additionally, biocrude oil contains a substantial amount of water (15–35 wt%), which originates from the moisture present in the biomass feedstock and is further produced during dehydration reactions. The oxygen content in biocrude varies depending on the feedstock source and processing conditions, as summarized in Table 1. Given the complexity of biocrude oil, various model compounds (e.g., guaiacol,73 anisole,74 phenols,75 cresol,76 furfural,77 benzofuran,78 vanillin,79 acetic acid80) are used to elucidate reaction mechanisms and assess catalyst activity, selectivity, and stability.

Table 1 Composition of biocrude obtained from varying feedstocks
Feedstock C (%) H (%) O (%) N (%) Conversion technique Ref.
Euphorbia rigida 75.5 11.1 10.6 2.8 Pyrolysis 57
Sunflower pressed bagasse 74.5 9.9 10.3 5.3 Pyrolysis 57
Hazelnut shells 64.9 6.5 27.9 0.7 Pyrolysis 57
Cashew nutshell 76.4 10.5 12.9 <0.2 Pyrolysis 58
Rapeseed cake 73.7 10.7 10.5 4.6 Pyrolysis 59
Olive husks 66.5 8.1 21.9 3.2 Pyrolysis 60
Soybean 67.9 7.8 13.5 10.8 Pyrolysis 61
Apricot pulp 61.5 7.8 29.0 1.7 Pyrolysis 62
Peach pulp 59.6 7.9 32.0 0.6 Pyrolysis 63
Algae 76.1 9.7 8.3 5.3 Liquefaction 64
Corn stover 76.9 8.9 11.7 1.9 Pyrolysis 65
Forest residues 53.7 7.1 39.1 0.1 Pyrolysis 66
Forest residues 72.0 6.8 20.7 0.5 Catalytic pyrolysis 66


The high oxygen content in biocrude oil is a significant limitation for its use as a transportation fuel due to the resulting poor thermal and chemical stability, high viscosity, and corrosiveness.81 Various studies have focused on upgrading the biocrude oil to improve its quality, with a primary emphasis on reducing its oxygen content.44,82–84

Several methods are available for upgrading biocrude, including hydrodeoxygenation,85–89 catalytic cracking,64,90,91 thermal cracking,91 esterification,2,92 and molecular distillation.65,93 Among these, HDO is the most effective method for upgrading pyrolysis biocrude oils into high-value oil and chemicals, as it uses heterogeneous catalysts and hydrogen gas to remove oxygen atoms and convert aromatic rings into alkanes under relatively mild conditions (150–400 °C). This process minimizes coke formation and reduces the risk of catalyst deactivation. In contrast, catalytic cracking, which is more prone to high coke formation, is primarily used for first-generation biofuel that contain fewer aromatic and condensed-aromatic compounds. During HDO, C–O bonds are cleaved via hydrogenolysis, with oxygen removed as water, CO, CO2, and methanol. Additionally, ring-opening, hydrocracking and aromatic ring saturation through hydrogenation can occur.94,95 The typical reactions involved in the hydrodeoxygenation process are illustrated in Fig. 4.


image file: d4gc05059b-f4.tif
Fig. 4 Typical reactions in hydrodeoxygenation process.

3. Hydrodeoxygenation catalysts

Since HDO reactions involve deoxygenation, hydrogenation and cracking, bifunctional catalysts are commonly employed, which exhibited enhanced HDO activity compared to the monofunctional catalysts. Hellinger96 compared a bifunctional catalyst (Pt/HMFI-90) with a monofunctional catalyst (Pt/SiO2) for the HDO of guaiacol in flow reactor. A high amount of 2-methoxycyclohexanol was produced over Pt/SiO2 catalyst, indicating strong hydrogenation but weak deoxygenation activity, likely due to the absence of acid sites. In contrast, Pt/H-MFI demonstrated high deoxygenation activity, with cyclohexane as the main product. Similarly, bifunctional (Pt/H-BEA) and monofunctional (HBEA, Pt/SiO2) catalysts were tested for the HDO of anisole.97 The acidic sites provided by HBEA catalyzed the transalkylation from anisole to the phenolic ring, resulting in phenol, cresols, and xylenols as the primary products. The metal sites facilitate demethylation, hydrodeoxygenation, and hydrogenation in sequence, yielding phenol, benzene, and cyclohexane. The bifunctional Pt/H-BEA catalyst promoted both hydrodeoxygenation and transalkylation more effectively than the monofunctional catalysts, producing a high yield of benzene, toluene, and xylenes. Unsupported molybdenum nitride catalysts were also studied for the HDO of guaiacol in a batch reactor.98 The É£-Mo2N catalyst demonstrated high activity and selectivity for phenol, suggesting a direct demethoxylation pathway, while other Mo catalysts (β-Mo2N0.78, MoO2, and Mo) showed a reduced HDO activity.

The bifunctional catalysts, which typically include materials like Al2O3, TiO2, ZrO2, zeolites, and carbon supported by sulfided metals, reduced non-noble metals, or noble metals, feature metal sites for hydrogenation/dehydrogenation and acid sites for C–O bond cleavage and ring-opening. The reaction pathways and product distributions in HDO reactions vary depending on the catalyst used and the reaction conditions. Generally, noble metal-based catalysts exhibit high hydrogenation activity, leading to the initial saturation of aromatic rings during the HDO of model compounds, followed by deoxygenation reactions. This results in the production of saturated hydrocarbons as the main products. Conversely, sulfided metal catalysts, which have lower hydrogenation activity, typically initiate the reaction with deoxygenation, resulting in aromatic compounds as the primary products.99,100

3.1. Sulfided metals

Sulfided CoMo and NiMo catalysts supported on Al2O3 have been extensively used in oil refineries for the hydrotreatment of crude oil, aiding in the removal of oxygen, nitrogen and sulfur through hydrogenation, hydrodeoxygenation, hydrodesulfurization, hydrodenitrogenation, and hydrocracking reactions,101,102 These sulfided catalysts, including sulfided CoMo/ZrO2,103 have also been employed in the HDO of biocrude oil and its model compounds. Studies by Hurff104 observed that catechol and phenol were the primary products from the HDO of guaiacol over the sulfided CoMo/Al2O3 catalyst.

Bui105 investigated the effect of cobalt on the HDO of guaiacol over Mo-based catalysts, finding that the direct deoxygenation (DDO) pathway was significantly enhanced with a CoMoS catalyst compared to a non-promoted MoS2 catalyst. A similar promoting effect was observed in the HDO of 2-ethylphenol,106 where cobalt facilitated hydrogenation and direct hydrogenolysis of 2-ethylphenol, while nickel predominantly promoted the hydrogenation of the aromatic ring. Commercially available sulfided CoMo/Al2O3 catalysts have been extensively studied for the HDO of model compounds.21 These studies revealed that HDO, demethylation, and hydrogenation occurred simultaneously within the proposed reaction network, though complete HDO of guaiacol was challenging, as phenol and cresols were the main products. Liu107 reported on a MoS2 monolayer catalyst doped with isolated Co atoms for the HDO of 2-methylphenol, achieving 98.4% toluene selectivity at 97.6% conversion at 180 °C in a batch reactor. The enhanced HDO activity was attributed to the increased number of Co–S–Mo interfacial sites.

Additionally, it has been suggested that oxygen elimination reactions in the HDO of guaiacol over CoMo/Al2O3 and NiMo/Al2O3 catalysts are inhibited by the presence of water and ammonia.108–111 Sulfur detachment from the surface of these sulfided catalysts during HDO reactions leads to catalyst deactivation. The addition of sulfiding agents to maintain catalyst activity presents significant environmental concerns.104,112,113 Moreover, H2S, as a sulfiding agent, has been observed to suppress direct hydrogenolysis and hydrogenation reactions due to the competitive adsorption of phenol and H2S.112,113

Hong114 utilized sulfided Ni/W/TiO2 (anatase) catalysts for the guaiacol HDO, highlighting that the sulfidation degree of the tungstate layer, its molecular structure, and the number and intrinsic activity of sulfur sites were critical factors in determining the HDO activity of these catalysts. Furthermore, nickel was found to have a more pronounced promoting effect than cobalt in the HDO of guaiacol, due to enhanced sulfidation of the tungstate layer facilitated by Ni. A 16% yield of cyclohexane was observed over the sulfided 2 wt% Ni–12 wt% W/TiO2 catalyst.

The influence of phosphorus content on guaiacol conversion over sulfided Mo/γ-Al2O3 catalysts was studied at 300 °C and 5 MPa H2 in a batch reactor.115 Results showed that guaiacol conversion initially increased with rising phosphorus content but decreased once the phosphorus content exceeded 1.0 wt%. This promoting effect was attributed to the formation of two-dimensional MoS2 induced by PO43− coverage when the phosphorus content was below 1 wt%. In contrast, higher phosphorus loadings (>1.0 wt%) led to reduced guaiacol conversion due to the loss of active sites and the formation of three-dimensional MoS2.

The challenges discussed above are further amplified in the HDO of biocrude oil. The large-scale use of these sulfided catalysts in refineries poses significant challenges, driving research efforts toward developing non-sulfided catalysts for upgrading biocrude oil.

3.2. Non-noble metals

Due to the various drawbacks associated with sulfided catalysts, the development of reduced catalysts based on metals such as Ni, Fe, Mo, W, Co, and Cu has gained significant interest in recent decades.116Table 2 provides a summary of several non-noble metal catalysts used in HDO reactions.
Table 2 Summary of biocrude compound upgrading using non-noble catalysts
Catalyst Feed Conversion (%) Main products P (MPa) T (°C) Reactor type Ref.
Co/Al2O3 Phenol 100 38% cyclohexane 3 300 Batch 123
Co/K-Al2O3 Guaiacol 99.9 96.7% cyclohexanol 1 220 Batch 117
Co/CeO2 Guaiacol 97.1 91.7% cyclohexanol 2 220 Flow 120
Co/TiO2 Eugenol 100 99.9% propylcyclohexanol 1 200 Batch 119
Co/ZSM-5 Phenol 6 58% cyclohexanone, 19% cyclohexene, 23% cyclohexane 5 250 Batch 134
Cu/PSNT Phenol 100 97.8% cyclohexane 5 230 Batch 22
Cu/ZnO-Al2O3 5-HMF 100 90.1% 2,5-dimethylfuran 1.2 180 Batch 126
Cu/ZSM-5 Phenol 3 38% cyclohexene, 30% cyclohexane 5 250 Batch 134
Co@Cu/3CoAlOx 5-HMF 100 98.5% 2,5-dimethylfura 1.5 180 Batch 127
Fe/BEA Guaiacol 1.2 Anisole, toluene, cresol 4 230 Flow 135
Fe-CeO2 Guaiacol 52 63% phenol 0.1 400 Flow 136
Fe/CNT Guaiacol 17.2 40.4% phenol 3 300 Flow 137
Fe-SiO2 Guaiacol 74 38% BTX 0.9 300 Flow 138
Fe/SiO2 m-Cresol 8.8 60.2% toluene, 39.8% transalkylation products atm. 300 Flow 20
Ni Phenol 12 82% cyclohexanol, 18% cyclohexanone 5 250 Batch 134
Ni/Al2O3 Anisole 66.1 72.5% benzene, 14.9% cyclohexane 1 300 Flow 125
Ni/Al2O3 Guaiacol 75.1 41.1% cyclohexanol, 39.1% 2-methoxycyclohexanol 4 200 Batch 139
Ni/CNT Guaiacol 73.0 53.0% cyclohexane 3 300 Flow 137
Ni/SiO2 Phenol 100 90% cyclohexanol, 4% cyclohexane 10 275 Batch 129
Ni/SiO2 Phenol Benzene atm. 300 Flow 140
Ni/SiO2 m-Cresol 16.2 33.3% 3-methylcyclohexanone, 14.2% toluene atm. 300 Flow 20
Ni/ZrO2 Phenol 100 97% cyclohexanol 3 150 Batch 141
Ni/β-Mo2C Guaiacol 100 94.1% cyclohexane 4 260 Batch 142
Ni/MgAlOx Guaiacol 87.9 74.4% cyclohexanol 4 200 Batch 139
Ni/BEA-DP Microalgae oil 100 100% liquid alkanes 4 260 Batch 87
Ni/BEA Guaiacol 8.8 28.4% cyclohexane 4 230 Flow 36
Ni/HZSM-5 Phenol 79.0 81% cyclohexane 5 200 Batch 143
Ni/ZSM-5 Phenol 97.0 88% cyclohexane 5 250 Batch 134
Ni/Al2O3-HZSM-5 Phenol 98.0 98% cyclohexane 5 200 Batch 143
NiCu/Al2O3 Anisole 73.8 43.5% benzene, 32.8% cyclohexane 1 300 Flow 125
NiCu/ZSM-5 Phenol 48.0 76% cyclohexane 5 250 Batch 134
NiCo/ZSM-5 Phenol 100 91% cyclohexane 5 250 Batch 134
NiFe/SiO2 m-Cresol 13.7 52.6% toluene, 45.3% transalkylation products atm. 300 Flow 20
NiFe/BEA Guaiacol 14.0 35.0% cyclohexane 4 230 Flow 36
NiFe/CNT Guaiacol 96.8 83.4% cyclohexane 3 300 Flow 137
NiFe/MgAlOx Guaiacol 99.0 82.7% cyclohexanol 4 200 Batch 139
NiMo/ZrO2 Guaiacol 99.9 75% phenol 2 325 Batch 100
NiMo/BEA Guaiacol 11.9 28.5% cyclohexane 4 230 Flow 36
Ni/WO3-ZrO2 Phenol 100 98% cyclohexane 3 150 Batch 141
NiW/BEA Guaiacol 4.9 22.4% cyclohexane 4 230 Flow 36
ReCo/Al2O3 Phenol 100 60% cyclohexane 3 300 Batch 123


Co-based catalysts have also been employed in HDO reactions.117,118 The Co/TiO2 catalyst promoted demethoxylation and aromatic ring hydrogenation, yielding 100% selectivity for propylcyclohexanol from the HDO of eugenol at 1 MPa and 200 °C.119 CeO2 supported Co catalysts have also been used for the HDO of guaiacol, with cyclohexanol observed as the main product at 2 MPa and 160–220 °C.120 Cyclohexane was not detected over CeO2 and TiO2-supported Co catalysts, likely due to the low concentration of Brønsted acid sites (BASs), which play a key role in the deoxygenation of hydroxyl groups.

Co catalysts modified with promoters like Mo show enhanced performance.121,122 The MoOx-decorated Co structures exhibit excellent catalytic activity for the hydrodeoxygenation (HDO) of biomass-derived platform molecules. This improvement is attributed to the adsorption of C[double bond, length as m-dash]O bonds promoted by Coδ+ species. Additionally, the MoOx overlayer reduces byproduct formation by shielding the Co0 sites (Fig. 5A and B). Ghampson123 studied phenol HDO using metal oxides (Al2O3, SiO2-Al2O3, ZrO2, TiO2) supported Co–Re catalysts in a batch reactor. The addition of Re to Co catalysts had a beneficial effect on HDO activity, attributed to improved reducibility and the addition of hydrogenation sites, with the beneficial effect being most pronounced over the TiO2 support.


image file: d4gc05059b-f5.tif
Fig. 5 (A) Reaction pathways for hydrodeoxygenation of LA. (B) Schematic representation for the preparation of Co–MoOx catalysts.121 (C) Copper phyllosilicate nanotube catalysts for chemosynthesis of cyclohexane via hydrodeoxygenation of phenol.22 (D) HDO of guaiacol over BEA supported Ni, Ni–Mo, Ni–Fe and Ni–W catalysts.36 (E) HDO of cresol over Ni–Mo/SiO2 catalyst.128

Zhang124 studied the influence of Cu on Ni catalysts supported by ZrO2-SiO2 in the HDO of guaiacol to hydrocarbons. The addition of Cu significantly improved the acidic properties and enhanced the reduction of NiO, resulting in a Ni-Cu/ZrO2-SiO2 catalyst that exhibited high selectivity toward methyl-substituted compounds such as methylcyclohexane and toluene. Ardiyanti125 investigated the influence of the Ni/Cu ratio on the HDO of biocrude oil and its model compound (anisole) over Al2O3-supported NiCu bimetallic catalysts. The Al2O3-supported Ni/Cu catalyst, with a Ni/Cu weight ratio of 8, showed high hydrogenation activity for both biocrude oil and anisole, and it also displayed the lowest levels of leaching and coking among the prepared catalysts. While most studies used Cu as a promoter, some studies have also explored its role as the primary active site in HDO reactions.126,127 For example, Wang22 utilized copper phyllosilicate nanotubes for the HDO of phenol to produce cyclohexane in a batch reactor (as shown in Fig. 5C). The process achieved a cyclohexane yield of 97.8% with complete conversion. The Cu+ species facilitate the adsorption of phenol and cyclohexanol, while the Cu0 species facilitate the hydrogenation process.

Metallic Ni is the most widely used metal in HDO reactions due to its low cost, strong hydrogenation activity, and wide availability.19,35,39,42,86,89,129 Ni-based catalysts exhibit superior HDO activity for phenolic compounds (e.g., anisole, phenols, guaiacols) and biocrude oil, promoting the formation of saturated hydrocarbons (e.g., cycloalkanes) at higher pressures130,131 and the production of aromatics monomers at lower pressure.132,133

The influence of promoters (Mo, W, and Ta) on Ni catalysts supported by Al2O3, ZrO2, TiO2, and SiO2 in the HDO of guaiacol was investigated.100 The ZrO2-supported Ni–Mo catalyst exhibited higher activity and selectivity for desired products among the prepared catalysts. NiO was fully reduced to metallic Ni, while the MoO3 was partially reduced to Mo4+ species, which were regarded as Lewis acid sites. We further explored the impact of promoters (Mo, W, Fe) on Ni/BEA catalysts for guaiacol HDO using both experimental methods and DFT calculations.36 As depicted in Fig. 5D, Mo improved the dispersion of Ni species, thereby enhancing the cycloalkane formation rate (14.1 × 10−4 mol min−1 g−1) compared to Ni/BEA (9.6 × 10−4 mol min−1 g−1), while the addition of W reduced the hydrogenation activity of Ni/BEA, resulting in a lower HDO rate (4.4 × 10−4 mol min−1 g−1). Yang128 used a Ni–Mo/SiO2 catalyst for m-cresol HDO, which showed high toluene selectivity at reaction temperatures of 250–350 °C and 1 atm of H2. The enhanced effect was attributed to the decoration of the Ni surface by reduced MoOx species (as displayed in Fig. 5E).

Monometallic Fe catalysts have also been used for guaiacol HDO, though they show low activity for aromatic ring hydrogenation. For instance, a 38% BTX yield at 74% guaiacol conversion was achieved over Fe/SiO2,138 and a 62% phenol selectivity at 52% guaiacol conversion was observed over Fe/CeO2,136 indicating lower HDO activity for Fe based catalysts. The oxygen functional groups could be readily adsorbed on Fe species due to its oxophilicity.144 The strong hydrogenolysis activity of the Fe species, however, makes them excellent promoters for HDO reactions. Nie20 compared the activity of SiO2 supported bimetallic Ni–Fe and monometallic Ni catalysts using the HDO of m-cresol as a model reaction. The monometallic Ni catalyst exhibited higher 2-methylcyclohexanol selectivity compared to the bimetallic Ni–Fe catalyst, where toluene became the main product. These results align with our studies, where we observed that adding Fe species improved the HDO activity of Ni/BEA catalysts due to the strong hydrogenolysis activity of Fe species.135 Moreover, when the catalyst was initially impregnated with Fe, the metal-support interaction was relatively weak, promoting the formation of Ni–Fe species. The Ni–(Fe/BEA) catalyst exhibited a significantly higher turnover frequency (TOF) of 11.2 min−1 in guaiacol HDO compared to the Fe–(Ni/BEA) catalyst (7.0 min−1). It is also determined that the Ni/Fe mass ratio of 3.3 exhibited the highest cyclohexane formation rate in guaiacol HDO.

3.3. Noble metals

Noble metal catalysts, known for their high aromatic hydrogenation activity, are promising alternatives for HDO reactions. Catalysts based on Pt,145,146 Pd,15,147,148 Ru14,149 and Rh150 supported on catalytic frameworks such as metal oxides, silica, zeolites, and activated carbon have been extensively investigated in recent HDO studies. A summary of the literature on HDO reactions using noble metal-based catalysts is presented in Table 3.
Table 3 Summary of biocrude compound upgrading using noble metal catalysts
Catalyst Feed Conversion (%) Main products T (°C) P (MPa) Reactor Ref.
Au/TiO2 Guaiacol 57.8 71% phenol, 8% cresol 280 4 Flow 153
Au-Rh/TiO2 Guaiacol 94.0 61% cyclohexane 280 4 Flow 153
Ir/ZSM-5 Phenol 60.0 96% cyclohexane 200 3 Batch 154
Pd/C, HZSM-5 Phenol/methanol 99.0 80% cyclohexyl methyl ether 200 4 Batch 23
Pd/C, Phenol, H3PO4, H2O 100 85% cyclohexane 200 5 Batch 155
Pd/C Phenol–H2O 100 98% cyclohexanol 200 5 Batch 155
Pt/C Phenol H3PO4, H2O 100 86% cyclohexane 200 5 Batch 155
Pt/Al2O3 m-Cresol 30.0 11% methylcyclohexane, 65% toluene, 20% 2-methylcyclohexanol 260 4.5 Flow 26
Pt–Co/Al2O3 m-Cresol 30.0 52.4% methylcyclohexane, 44.7% toluene 260 4.5 Flow 26
Pt–Ni/Al2O3 m-Cresol 30.0 43.2% methylcyclohexane, 51% toluene 260 4.5 Flow 26
Pt/ZSM-5 Phenol 60.0 60% cyclohexane, 32% cyclohexanol 200 3 Batch 154
Pt/TiO2 Guaiacol 70.0 44% cyclohexane 285 4 Flow 156
Pt–Ir/ZSM-5 Phenol 60.0 95% cyclohexane 200 3 Batch 154
Rh/C Phenol H3PO4, H2O 100 92% cyclohexane 200 5 Batch 155
Pt-Mo/TiO2 Guaiacol 93.0 69% cyclohexane 285 4 Flow 156
Ru/C Phenol H3PO4, H2O 100 88% cyclohexane 200 5 Batch 155
Ru/TiO2 Phenol 4.0 61% cyclohexanone, 20% cyclohexanol 300 4.5 Batch 149
Ru/TiO2 (uncalcined) Phenol 12.0 85% benzene 300 4.5 Batch 149
Ru/H-BEA Guaiacol 98.8 97.9% cyclohexane 140 4 Batch 14
Ru/H-ZSM-5 Guaiacol 98.9 48.6% cyclohexane, 51.4% 2-methoxycyclohexanol 140 4 Batch 14
Ru/MCM-41 Phenol 6.0 58% cyclohexanone 300 4.5 Batch 149
Ru@ITQ Guaiacol 60.0 83% 2-methoxycyclohexanol 160 3 Batch 157
Ru@HMCM-22 Guaiacol 99.0 34% cyclohexane, 40% 2-methoxycyclohexanol 160 3 Batch 157
Rh/ZrO2 Guaiacol, tetradecane cyclohexane 400 5 Batch 150


Ru-based catalysts are particularly common HDO reactions.149,151 For instance, the HDO of biocrude derived from the fast pyrolysis of lignocellulosic biomass was investigated using a carbon supported Ru catalyst in a batch reactor at 350 °C and 20 MPa H2.152 Under these conditions, various reactions including decarboxylation, polymerization, HDO, methanation, demethylation, decarbonylation, and pyrolytic lignin depolymerization occurred. Product analysis revealed that the oxygen content decreased from 34 wt% to 13 wt%, with a corresponding increase in heating value from 24.2 to 35.5 MJ kg−1. The optimal yield of desired deoxygenated products was achieved when the catalyst loading was equal to or less than 5.0 wt% Ru.

Lin150 compared the catalytic activities of Rh-based, CoMoS, and NiMoS catalysts in the HDO of guaiacol using a batch reactor. The noble-metal catalyst exhibited a significantly different product distribution compared to the sulfided catalysts, with a notable increase in cyclohexane yield. In contrast, anisole and phenol were the main products over sulfided CoMo and NiMo catalysts at 350 °C. Additionally, the Rh-based catalyst demonstrated superior reactivity, producing a lower amount of coke compared to the sulfided catalysts.

The combination of noble and non-noble metals for HDO reactions has also been studied. He156 investigated the promoting effect of Mo and Mg on the HDO of guaiacol over a TiO2-supported Pt catalyst in a fixed-bed reactor. The incorporation of Mg or Mo improved the dispersion of Pt particles while reducing the surface acidity of the Pt/TiO2 catalyst. Although both Mo and Mg additions increased guaiacol conversion, an improved cyclohexane yield was only observed with the Pt–Mo/TiO2 catalyst. It is suggested that Mo species favor hydrogenolysis and suppress dehydration to cyclohexene by decreasing the concentration of acid sites and increasing the amount of active hydrogen species. Hong158 studied the effect of the Pd/W mass ratio on the HDO of guaiacol over Pd/WOx/γ-Al2O3 catalysts at 300 °C in a batch reactor. The highest HDO activity was achieved with 2 wt% Pd and 32 wt% tungsten loadings, resulting in an 88% yield of cyclohexane. It is proposed that guaiacol was hydrodeoxygenated via a bifunctional mechanism: (1) full hydrogenation of the aromatic ring over Pd sites and (2) deoxygenation of methoxy and hydroxyl groups by Pd-acid sites.

In addition to combining noble and non-noble metals, noble bimetals have also been used in HDO reactions, demonstrating enhanced activity.154 TiO2-supported Au, Rh, and Au–Rh catalysts were studied in the HDO of guaiacol in a fixed-bed reactor.153 Au/TiO2 exhibited stable activity and high selectivity toward phenol. The main product shifted from phenol to cyclohexane with the bimetallic Au–Rh catalyst, which may be attributed to a cooperative effect between the metals. Partial substitution of Pt with Ir (Pt-50-Ir50/ZSM-5) also results in an improved HDO rate (0.066 molPhenol molMetal−1 s−1) and higher selectivity toward oxygen-free products compared to the Ir/ZSM-5 (0.028 molPhenol molMetal−1 s−1) and Pt/ZSM-5 (0.054 molPhenol molMetal−1 s−1).154 This enhancement is attributed to the surface enrichment of Ir species, which are more effective in dehydration reactions than Pt species.

In summary, noble metals such as Ru and Pd, along with metallic Ni-based catalysts, demonstrated strong hydrodeoxygenation activity due to their high selectivity towards hydrogenation products. Fe and Mo also proved to be effective promoters, with Fe particularly enhancing hydrogenolysis activity and promoting efficient adsorption of oxygen-containing functional groups. Given the complex composition of biocrude oil, using cost-effective catalysts with high metal loading, especially those with Ni, is essential. This approach not only facilitates the upgrading of phenolics, guaiacols, and heavy polyaromatics from biocrude oil but also helps to mitigate catalyst deactivation by enhanced hydrogen spillover.

4. Impact of catalyst metal particle size on hydrodeoxygenation: single atoms vs. nanoparticles

HDO is considered a structure-sensitive reaction, where the structure and particle size of metal species not only affect the catalytic activity but also alter the product distribution.24,25 The size of metal particles plays a crucial role in determining the efficiency of the HDO reaction. The small Ni nanoparticles (2 nm) with highly coordinatively unsaturated Ni sites enhance C–O cleavage by facilitating the adsorption and stabilization of OH in the transition state. This leads to a higher yield of toluene in the hydrodeoxygenation (HDO) of cresol24 (Fig. 6a).
image file: d4gc05059b-f6.tif
Fig. 6 (a) Relationship between particle size and product distribution,24 (b)turnover frequency for hydrogenation (TOFHyd) and deoxygenation (TOFDeox) over Ni/SiO2 catalysts as a function of metal dispersion, and the fraction of sites as a function of dispersion.25 (c) HDO of anisole over Ni/BEA-DP with Ni clusters to produce aromatics and Ni/BEA-ORPH with small Ni nanoparticles to form cyclohexane.35 (d) relationship of mean Ni particle size (dNi) and normalized cycloalkanes formation rate (TOF) in toluene hydrogenation; TOFNi: cycloalkane formation rate based on the mole of surface Ni (metal loading × dispersion), unit: min−1, TOF-high T desorbed H2: cycloalkanes formation rate based on the peak area of high-temperature desorbed H2, unit: mol min−1 × 10−4 per a.u.162 (e) Investigation of anisole HDO by in situ FTIR and TPST-MS.160 (f) Single atoms for HDO of 2-HMF.163

Mortensen25 studied the effect of nickel particle size on the HDO of phenol over a Ni/SiO2 catalyst in a batch reactor (Fig. 6b). The Ni/SiO2 catalyst with larger metal particles (22 nm) displayed hydrogenation activity 85 times higher than that of the catalyst with smaller particles (5 nm). However, the bulk Ni catalyst's deoxygenation activity was 20 times lower than that of the catalyst with 5 nm particles. Similarly, Song87 investigated the impact of Ni particle size on the HDO of microalgae oil using Ni/BEA catalysts prepared by different methods. The smallest Ni particles (2.5 nm), prepared by the deposition-precipitation method, showed the highest initial rate (4.6 goil gcat−1 h−1) compared to larger Ni particles (24.7 nm) prepared by the impregnation method, which had a much lower rate (0.6 goil gcat−1 h−1).

Teles159 studied the HDO of cresol over different Ni particle sizes and concluded that Ni particles of 1 nm favor direct deoxygenation to produce toluene, while bulk Ni nanoparticles promote hydrogenation and hydrogenolysis, forming methylcyclohexanone and phenol. These findings align with our previous studies,35,160,161 which showed that small nickel particles promote deoxygenation, while larger particles favor hydrogenation (Fig. 6c and e). In our work on the HDO of anisole, small Ni clusters and nanoparticles enhanced hydrogenolysis activity to form BTX (benzene, toluene, and xylene), while larger Ni particles facilitated hydrogenation to saturated products (e.g., cyclohexane and 2-methoxycyclohexanol).

Ni nanoparticles sized 3–4 nm exhibited higher hydrogenation activity in toluene hydrogenation compared to Ni nanoclusters smaller than 2 nm and Ni nanoparticles larger than 4 nm (as shown in Fig. 6d).162 This is attributed to their balanced surface metal concentration, relatively weak interaction with the support, and increased concentration of high-temperature surface hydrogen species. In another study,42 we observed that smaller Ni particles (4.5–6.4 nm) had a lower cyclohexane formation rate in the HDO of anisole compared to larger Ni particles (9.0–13.5 nm) supported on natural zeolites. Although single Ni atoms supported on β-Mo2C have been reported to achieve 100% conversion of guaiacols with over 90% yield of cyclohexane,142 it is important to note that this reaction occurs in a batch process with an exceptionally long residence time.107 As a result, the intrinsic reaction rate for the single Ni or Co atoms cannot be accurately determined.

While we concluded that Ni nanoparticles exhibited higher HDO and hydrogenation rates, the scenario may differ with noble metals. Ru/ZSM-5 and Ru/BEA catalysts prepared by ion exchange and incipient wetness impregnation methods were used for HDO of guaiacol.164 The ion exchange catalysts with atomically dispersed Ru exhibited higher intrinsic HDO rates (2.03–2.67 × 10−5 molcyclohexane min−1 g−1) compared to impregnated Ru/ZSM-5 (0.10–0.18 × 10−5 molcyclohexane min−1 g−1). The sub-nanometric Ru metal clusters (<1.5 nm) confined within MWW zeolite thin layers showed significantly enhanced HDO activity for guaiacol compared to larger Ru particles.157 Moreover, the close proximity of single noble metal atoms to acid sites allows for synergistic interactions between the metal and acid, further contributing to the enhanced HDO activity163 (as depicted in Fig. 6f).

In summary, the choice of particle size depends on the type of metal and the desired target products. As displayed in Fig. 7, single atoms and clusters of noble metals exhibit higher hydrogenation and HDO rates compared to nanoparticles, owing to the enhanced metal surface area and weaker metal–support interactions. In contrast, single atoms and clusters of non-noble metals (e.g., Ni) display lower hydrogenation activity and HDO rates due to strong metal–support interactions, which promote enhanced electron transfer from the metal to the support. However, these non-noble metal single atoms and clusters show strong hydrogenolysis activity, resulting in the formation of aromatics without ring saturation.


image file: d4gc05059b-f7.tif
Fig. 7 Schematic illustrating the particle sizes of (a) noble metals and (b) non-noble metals in the HDO reaction.

5. Supports

5.1. Carbon, SiO2 and metal oxides

Activated carbon, metal oxides, and zeolites are commonly used as supports.14,18,97,165 These materials not only provide a large surface area but also offer a high concentration of acid sites, which are crucial for catalytic activity. Additionally, they enhance the diffusion of reactants to the active sites, a feature particularly important in the HDO of biocrude, where large and complex molecules must access the active sites within the pores. The choice of support not only affects metal dispersion and HDO activity but also influences product distribution and catalyst stability. A summary of studies on HDO reactions using different supports is provided in Table 4.
Table 4 Summary of biocrude compound upgrading using different supports
Support Metal P (MPa) T (°C) Feed Conversion (100%) Products Reactor Ref.
a SAR = silica-to-alumina ratio.
Al2O3 CoMoS 5.5 250 Guaiacol 33 36% phenol, 46% catechol Batch 168
Al2O3 Co 3 300 Phenol 100 38% cyclohexane Batch 123
A2O3 Ru 4 250 Guaiacol 100 74.8% 2-methoxycyclohexanol Batch 95
K-Al2O3 CoMoS 5.5 250 Guaiacol 30 70% phenol, 16.6% catechol, 13% benzene Batch 168
Carbon Ni1Mo3N 1 260 Anisole, phenol, guaiacol 99.9 95.8% cyclohexane Batch 167
Carbon nanotube Ru 5 220 Eugenol 100 94% propylcyclohexane Batch 171
CeO2 Ru 5 220 Eugenol 100 61% 4-propylcyclohexanol, 26% 2-methoxy-4-propyl-cyclohexanol Batch 171
CeO2 Pd 0.1 300 Guaiacol 9.6 32.5% phenol, 8.8% cyclohexone Flow 172
Nb2O5 Pd 0.1 300 Guaiacol 25.0 15.7% benzene, 27.1% phenol Flow 172
L3-Nb2O3 Ru 0.5 250 4-Methylphenol 72.3 68.1% toluene Batch 173
SiO2 Ru 4 250 Guaiacol 97.2 68.2% 2-methoxycyclohexanol Batch 95
SiO2 Pt 10 250 Guaiacol/1-octanol 52 78.8% 2-methoxy-cyclohexanol Flow 96
SiO2 Pd 0.1 300 Guaiacol 14.3 41.8% phenol Flow 172
SiO2-ZrO2 Ni5Cu 5 300 Guaiacol 100 80.8% cyclohexane Batch 124
SiO2-Al2O3 Co 3 300 Phenol 100 60% cyclohexane Batch 123
TiO2 Co 3 300 Phenol 10.5 67% cyclohexane Batch 123
TiO2 CoMoS 4 300 Guaiacol 100 60% phenol Flow 169
TiO2 Pd 0.1 300 Guaiacol 15.5 13.4% benzene, 26.8% phenol Flow 172
ZrO2 CoMoS 4 300 Guaiacol 100 58% phenol Flow 105
ZrO2 Co 3 300 Phenol 98.5 80% cyclohexane Batch 123
ZrO2 Ru 5 220 Eugenol 100 45.7% propylcyclohexane, 40% 2-methoxy-4-propyl-cyclohexanol Batch 171
ZrO2 Pd 0.1 300 Guaiacol 11.1 15.0% benzene, 22.7% phenol Flow 172
BEA Ni 4 230 Guaiacol 11.1 48.6% cyclohexane Flow 39
BEA (SARa = 12.5) Ru 4 230 Guaiacol 100 64.4% cyclohexane, 7.6% 2-methoxycyclohexanol Batch 95
BEA (SAR = 25) Ru 4 230 Guaiacol 100 43.2% cyclohexane, 26.4% 2-methoxycyclohexanol Batch 95
BEA (SAR = 175) Ru 4 230 Guaiacol 92.9 26.6% cyclohexane, 45.7% 2-methoxycyclohexanol Batch 95
HBEA Pt 4 250 Guaiacol 97 45.2% cyclohexane Batch 174
Meso-BEA Pt 4 250 Guaiacol 98 26.1% cyclohexane, 9.0% tetramethylphenol Batch 174
HY Ni 4 230 Guaiacol 7.0 17.1% cyclohexane Flow 39
HY (SAR = 2.6) Pt 4 250 Guaiacol 82 58.2% cyclohexane Batch 175
HY (SAR = 40) Pt 4 250 Guaiacol 70 62.6% cyclohexane Batch 175
HY (SAR = 100) pt 4 250 Guaiacol 22 81.8% cyclohexane Batch 175
MOR Ni 4 230 Guaiacol 8.4 32.1% cyclohexane Flow 39
MCM-41 Ni 4 230 Guaiacol 10.6 41.5% cyclohexane Flow 39
MFI Pt 10 250 Guaiacol/1-octanol 93 52% cyclohexane, octane Flow 96
ZSM-5 Ni 4 230 Guaiacol 5.3 20.7% cyclohexane Flow 39


While activated carbon lacks intrinsic acid sites, it has been widely employed as support for both noble and non-noble catalysts. Ruiz166 investigated the effect of activated carbon on the HDO of guaiacol over a MoS2 catalyst. The porosity of activated carbon had a negligible impact on product selectivity; however, the surface chemistry of the support significantly influenced the dispersion of sulfide Mo species. Specifically, acidic oxygen surface functionalities hindered the dispersion of MoO42− and Mo7O246− species. Jiang167 used a Ni1Mo3N/C catalyst for the HDO of phenol and guaiacol at 260 °C, achieving a 95.8% selectivity for cyclohexane. The synergistic catalysis of Ni2Mo3N and β-Mo2C promoted efficient hydrogen activation and C–O bond hydrogenolysis.

Metal oxides are also frequently used as support in HDO catalysts. For instance, Al2O3, modified by K, was used to support NiMoS and CoMoS catalysts in the HDO of guaiacol.168 The addition of K to γ-Al2O3 increased the formation of partially or completely deoxygenated compounds (e.g., benzene, phenol), an effect attributed to reduced acidity. However, a decrease in HDO reaction rate was observed with K-modified Al2O3, likely due to the formation of Co and Ni aluminate spinel and a reduction in the number of active sulfided metal sites.

ZrO2 is considered an excellent support for HDO catalysts due to its higher catalytic activity in activating oxygen-containing compounds and its lower carbon deposition compared to Al2O3.73,169 When ZrO2, TiO2 and the traditional γ-Al2O3 were used as supports for CoMoS and NiMoS catalysts in the HDO of guaiacol.169 The results showed that ZrO2 significantly promoted the conversion of guaiacol into deoxygenated hydrocarbons. Additionally, SiO2-ZrO2 composite oxides exhibited higher and stronger acidity than ZrO2 alone, facilitating the formation of methyl-substituted compounds during guaiacol HDO.124 Ghampson123 studied the HDO of phenol using various metal oxide supports. The catalytic activity varied with the metal species and acid properties at the metal-support interface, with activity decreasing in the order: Co/Al2O3 > Co/SiO2-Al2O3 > Co/ZrO2 > Co/TiO2. Strong metal-support interactions led to the coverage of active metal species by a thin TiOx layer on Co/TiO2, resulting in the lowest HDO activity. It is proposed that the support could control the reaction pathway: (i) Co/Al2O3 and Co/SiO2-Al2O3 followed the sequential ring hydrogenation–dehydration–hydrogenation route typical of metal/acidic support catalysts; (ii) Co/ZrO2 favored phenol tautomerization followed by hydrogenation/dehydration; and (iii) Co/TiO2 predominantly followed the direct deoxygenation–hydrogenation pathway. The total acidity of the Co-support interface influenced activity, while product selectivity was a function of the nature of acid sites, as determined by cyclohexanol dehydration. Ni catalysts supported on Nb2O5 have also been utilized in HDO reactions.170 Specifically, the Ni0.9Nb0.1 catalyst exhibited a tenfold increase in cyclohexane selectivity compared to the pure Ni catalyst during the HDO of anisole. This significant improvement is attributed to the enhanced dispersion of Ni on the Nb2O5 support.28

In summary, the roles of carbon and metal oxides in HDO are highly complex. The choice of support material significantly influences HDO activity through varying metal–support interactions. Moreover, different metal species demonstrate diverse synergistic effects with these supports during HDO reactions. Typically, using carbon and metal oxides as supports leads to a slightly reduced HDO rate, resulting in higher yields of partially deoxygenated compounds such as phenol, catechol, and various alcohols, as illustrated in Table 4. This decrease in HDO rate is likely due to strong metal-support interactions, which diminish hydrogenation activity and reduce the availability of Brønsted acid sites. Therefore, greater emphasis should be placed on exploring zeolite supports to enhance HDO performance.

5.2. Influence of zeolite topology on HDO

Zeolite-based catalysts have gained attention due to their large surface area and porosity, which play a crucial role in product selectivity. Lee174 studied the influence of support pore size on the HDO of guaiacol in a batch reactor. Although Pt/ZSM-5 possessed a high concentration of acid sites, it showed lower guaiacol conversion compared to a mesoporous Pt/HBEA catalyst, likely due to the smaller pore diameter restricting guaiacol molecule access. In contrast, the Pt/Si-MCM-48 catalyst, which lacks acid sites, displayed weak HDO activity despite its large pore size.

Our group has studied BEA and ZSM-5 supported Ru catalysts for the HDO of biocrude oil.95 While Ru/BEA and Ru/ZSM-5 catalysts with lower Si/Al ratios both exhibited good HDO activity for guaiacol, only Ru/BEA demonstrated high selectivity toward cycloalkanes when processing complex biocrude oil. This enhanced performance is attributed to the greater mesoporosity and higher concentration of Brønsted acid sites in BEA zeolite, which provide accessible active sites for bulky aromatic molecules. The hierarchical pore system in BEA facilitates the diffusion, hydrogenation, deoxygenation, and ring-opening of large components in biocrude oil, leading to more efficient conversion. Enhanced HDO activity in phenolic monomers and lignin oils was also observed with BEA-supported Pd catalysts compared to Pd/ZSM-5.176

The structures of various zeolites (Y, ZSM-5, BEA, MOR, MCM-41) and their shape selectivity in the HDO of biocrude oil and its model compounds have been extensively studied.39 Ni/beta and Ni/Y catalysts, which feature 12 × 12-ring channels, exhibit higher hydrogenation activity for phenanthrene compared to Ni/ZSM-5 and Ni/MOR catalysts, which have smaller 10 × 10-ring and 12 × 8-ring channels. Notably, only Ni/Y, with the largest pore-limiting diameter (7.4 Å), is effective in hydrogenating pyrene (6.7 Å). Although all catalysts demonstrated good HDO activity for guaiacol, Ni/ZSM-5 showed a lower cyclohexane formation rate at reduced residence times, attributed to its smaller pore diameter (5.0 Å), which restricts guaiacol diffusion (∼4.9 Å). Despite having the largest pore size, Ni/AlMCM-41 exhibited a lower cyclohexane formation rate (16.3 × 10−4 molcyclohexane gcat−1 min−1) compared to Ni/beta (18.9 × 10−4 molcyclohexane gcat−1 min−1), likely due to its low metal dispersion. Mao177 studied the role of zeolite structures in the disproportionation and transalkylation of phenol and dimethylphenol, finding that ZSM-5 exhibited the lowest activity due to microporous limitations. In contrast, MCM-22 (MWW-type) achieved the highest 2,6-DMP conversion and cresol production due to its strong Brønsted acidity and mesoporous volume. FAU-type zeolite HY, with its wider 3D channels (7.4 × 7.4 Å) and the largest sphere diameter (11.2 Å), was the most selective, achieving up to 60% cresol selectivity by minimizing spatial constraints for bimolecular reactions.

Hierarchical USY,74 ZSM-5,178–180 BEA,181 when used as supports for Ni catalysts in HDO reactions, have shown improved reaction rates. This improvement is attributed to the enhanced mesoporosity, increased accessibility, optimized acid strength, and the formation of bulky external Ni particles.

As summarized in Fig. 8, the zeolite structure significantly influences not only the diffusion of feedstock, intermediates, and products, but also the distribution of metals. ZSM-5 and MOR, with their microporous structures, restrict the diffusion of larger molecules of biocrude oil (e.g., retene), resulting in a lower HDO reaction rate. Conversely, while MCM-41 and SBA-15 facilitate the diffusion of larger molecules in biocrude oil, they also promote the formation of bulk metal particles, which limits the HDO rate. In contrast, BEA, with its combination of micropores and mesopores, not only enhances metal dispersion but also facilitates the diffusion of biocrude molecules. Therefore, BEA is a more suitable support for HDO catalysts.


image file: d4gc05059b-f8.tif
Fig. 8 Shape selectivity of zeolites supported metals catalysts in HDO of anisole, guaiacol, phenanthrene.

5.3. Unveiling the role of acidity in hydrodeoxygenation

The acid concentration and type (Brønsted and Lewis acid sites) provided by zeolites,175 Al2O3,182 WOx/ZrO2,183 TiO2,184 Nb2O5,185 H3PO4155 and other metal oxides play a significant role in deoxygenation, ring-opening, cracking, coupling reactions, and transalkylation.186 Ru/CHPW, with its excellent synergistic effect between active metal and acid sites, offers high efficiency in the HDO of guaiacol, achieving over 98% yield of cycloalkanes in the HDO of phenol, anisole, cresols, and guaiacols187 (as shown in Fig. 9a and b).
image file: d4gc05059b-f9.tif
Fig. 9 The synergistic effect of active metal-acid sites and the guaiacol HDO reaction pathway (a) Ru/C-Al2O3 (b) Ru/C-HPW.187 (c) Tuning acid-metal synergy in m-cresol hydrodeoxygenation over Pt/Aluminosilicate catalysts.189 (d) Proposed reaction pathways for HDO of guaiacol over Ni/AlPO4 catalyst.190 (e) Pore structure properties of MFI coupled with abundant LAS (TS-1) as well as Ru NPs on the orifice of pores of TS-1 promotes the hydrogenolysis of lignin to aromatics, while BAS on Ru/MFI promotes the hydrogenation rates of aromatics.192 (f) Reaction pathway for HDO of guaiacol over ion-exchanged Ni/Beta-12.5 catalyst and acid-containing supports.130

In our previous study,130 Ni/BEA catalysts with varying acid site concentrations exhibited a similar normalized rate (TOF-B = cyclohexane formation rate based on Brønsted acid sites) in the HDO of guaiacol, indicating that Brønsted acid sites are key to the reaction. High concentrations of BASs facilitate the HDO reactions. This was further demonstrated by a similar TOF-B value observed over Ru/ZSM-5 and Ru/BEA catalysts,164 suggesting that BASs play a crucial role in the deoxygenation of 2-methoxycyclohexanol to cyclohexane. Ru catalysts supported on BEA, ZSM-5, Al2O3, and SiO2 were used for the HDO of guaiacol in batch reactor at 250 °C.95 Ru/ZSM-5 and Ru/BEA, with strong BASs, predominantly produced cyclohexane, while Ru/Al2O3 and Ru/SiO2 primarily yielded 2-methoxycyclohexanol (68.2–74.8%) and cyclohexanol (15.9–24.1%), suggesting that BASs favor deoxygenation reactions. Lewis acid sites (LASs) on Al2O3 played a limited role in deoxygenating hydroxyl bonds, consistent with findings by He.157 Ru@MCM-22 exhibited a majority of cyclohexane, whereas Ru@ITQ-1, which lacks acid sites, mainly produced 2-methoxycyclohexanol and cyclohexanol. Moreover, the role of BASs was investigated in the HDO of acetophenone over Pd/ZSM-5 catalysts.188 The dehydration of alcohol, which was the rate-limiting step in the reaction, was efficiently accelerated by the BASs. Moreover, the BASs are also provided by catalysts such as Pt/amorphous silica-alumina189 (Fig. 9c) and Ni/AlPO4190 (Fig. 9d), which facilitate the dehydration of alcohols.

Similar results were observed with Pt/HBeta, which enhanced the formation of toluene and xylene during the HDO of guaiacol.186 While LASs play a limited role in deoxygenation of alcohols, they act as electron acceptors, facilitating the adsorption of oxygen-containing intermediates and, in turn, enhancing the HDO of dibenzofuran.191 In addition, LAS on Ru/TS-1 led to a linear increase of guaiacol hydrogenolysis rate to benzene, which was attributed to the enhanced absorbance capability of guaiacol and phenol on the LAS192 (as show in Fig. 9e). Ni/BEA, HBEA, and Al2O3 all exhibited high yields of 1,2-dimethoxybenzene and catechol in the HDO of guaiacol (as shown in Fig. 9f), suggesting that both BASs and LASs promote transalkylation reactions.130

WOx/TiO2-supported Pt catalysts have also been employed in the HDO of polyols.193 The strong interaction between secondary WOx species facilitates the formation of Brønsted acid sites (H–O–WOx), which promote the acid-catalyzed dehydration of secondary hydroxyl groups.

Acid strength also plays a key role in HDO reactions. Levia115 suggested that catalysts with strong acid sites favor demethylation reactions, while those with weaker acid sites promote direct demethoxylation. Strong acid sites promote the condensation of 2,5-hexanedione in HDO of 2,5-dimethylfuran, leading to reduced yield of p-xylene.194 The addition of H3PO4 to guaiacol and H2O over Pd/C results in cyclohexane as the main product (85%), whereas without H3PO4 the primary product is cyclohexanol (98%). This suggests that the acid sites provided by H3PO4 facilitate the dehydration reaction.155 Nb2O5, known for its abundant water-tolerant Lewis acid sites (LASs), was used as a support for HDO catalysts.185 Ni/Nb2O5 was used for the HDO of vanillin, achieving 79.2% selectivity for 2-methoxy-4-methylphenol at a conversion rate of 96.1%.195 The Nb2O5 support effectively lowered the dissociation energy of the aromatic C–OH bonds.

In summary, guaiacol, phenols, and anisole are first hydrogenated on metal sites with strong hydrogenation activity, such as Ni nanoparticles and noble metals, to produce saturated alcohols (e.g., cyclohexanol, 2-methoxycyclohexanol) and ethers (e.g., methoxycyclohexane). These intermediates are then dehydrated and demethoxylation to olefins via BASs, as illustrated in Fig. 9 and 10. The resulting olefins undergo further hydrogenation on metal sites with dissociated hydrogen species to form cycloalkanes. LASs from the supports or unreduced Ni species facilitate transalkylation, leading to the formation of alkylphenols (as shown in Fig. 9f). While LASs aid in the deoxygenation of ethers like methoxycyclohexane, they are ineffective for dehydrating alcohols such as cyclohexanol, which are key intermediates in HDO reactions. Additionally, acid sites promote coupling reactions during biocrude upgrading, enhancing the production of cycloalkanes suitable for jet fuel. Moreover, BASs play a crucial role in the ring-opening and cracking of heavy compounds in biocrude oil. Therefore, optimizing HDO performance requires a balanced combination of BASs and LASs to effectively manage each step of the reaction process.


image file: d4gc05059b-f10.tif
Fig. 10 (a) Proposed reaction pathways for HDO reactions over Ni-based catalysts.42 (b) Role of BASs and LASs in HDO reactions.

6. Key factors contributing to catalyst deactivation

Catalyst deactivation is one of the primary challenges in HDO reactions, often attributed to the formation of condensed-ring products,196,197 sintering,148 coking,198 water,199 and the loss of sulfide from sulfided catalysts54 (as shown in Fig. 11).
image file: d4gc05059b-f11.tif
Fig. 11 Factors contributing to catalyst deactivation in the HDO process.

Among the causes of deactivation, carbon deposition is considered the most significant.200,201 Carbon forms via polycondensation and polymerization reactions at acid sites, leading to pore blockage and a reduction in the number of active sites. The rate of catalyst deactivation depends on reaction conditions, catalyst characteristics, and the functional groups of the model compounds. Gonzalez-Borja202 studied the deactivation behavior of a Pt–Sn catalyst in the HDO of anisole and guaiacol. The catalyst exhibited a higher deactivation rate with guaiacol than with anisole, and the Pt–Sn bimetallic catalyst displayed greater activity and stability compared to monometallic Sn or Pt catalysts. Metal leaching is another factor leading to catalysts deactivation.203 Zhao143 used Ni catalysts supported on ZSM-5 and HZSM-5-Al2O3 for the HDO of phenol, finding a significantly lower Ni leaching rate over Ni/HZSM-5-Al2O3, likely due to a strong metal-Al2O3 interaction. Additionally, the dehydration of Brønsted acid sites (as Al-OH-Si) to coordinately unsaturated Al atoms forming LASs during recycling may be irreversible. The water produced during HDO can lead to catalyst deactivation by altering the support or metal phases,110 such as by modifying the active sulfide phase through the formation of nickel aluminate or by transforming Al2O3 into boehmite (AlO(OH)).165

Recent studies have shown that certain metals can mitigate catalyst deactivation. Zhou204 compared the deactivation rates of noble metals (Rh, Pt) and sulfided NiMo catalysts in the HDO of microalgae oil, concluding that coke accumulation decreased in the order of sulfided NiMo > Pt > Rh. Additionally, coke formation on sulfided NiMo catalysts increased with time on stream, while no such time dependence was observed for Rh and Pt. Gao197 examined the deactivation mechanisms of carbon-supported noble metal catalysts for the HDO of guaiacol, finding that Rh/C, Pd/C, and Ru/C catalysts experienced rapid deactivation during 300 minutes of time on stream, whereas Pt/C showed negligible activity loss. Zhao143 investigated used catalysts for phenol hydrodeoxygenation, attributing the gradual decrease in catalytic activity to the agglomeration of Ni particles.

The nature of the support also plays a crucial role in catalyst deactivation. Souza148 explored the role of various supports (SiO2, Al2O3, TiO2, ZrO2, CeO2 and CeZrO2) in deactivation process during the HDO of phenol. Pd catalysts supported on Al2O3, SiO2, ZeO2 and TiO2 showed rapid deactivation over time, while Pd/CeO2 and Pd/CeZrO2 exhibited only a slight decrease in activity. It is suggested that intermediates formed during the reaction remained on the Lewis acid sites, inhibiting further adsorption of reactants. However, during the Hellinger studies,96 the SiO2 supported Pt catalyst showed a high stability compared to Pt/HMFI-90 catalyst during the HDO of guaiacol. Moreover, it is reported that the Lewis acidic Nb2O5 favored coke formation via lignin species condensation.170 We also investigated catalyst deactivation in HDO reactions, finding that phenolic-hydroxyl groups from phenols and guaiacols contribute to catalyst deactivation by facilitating the formation of condensed-ring compounds. This was evidenced by decreased cycloalkane yields and subsequent pore blockage in the catalyst.196 Among the catalysts tested, Ni/ZSM-5 exhibited the fastest deactivation, followed by Ni/BEA, while Ni/AlMCM-41 showed the slowest deactivation. The lower deactivation rate of Ni/AlMCM-41 can be attributed to its mesoporous structure, which enhances the diffusion of condensed-ring products (e.g., 2-cyclohexylphenol and 1,2,3,4-tetrahydro-1-ethyl-6-hydroxy-7-methoxy-naphthalene).

Overall, noble metals and bulk Ni catalysts with strong hydrogenation activity demonstrate better resistance to coking compared to non-noble metal catalysts, while less acidic oxides generate less coke than Al2O3. Additionally, zeolites with enhanced mesopores improve catalyst stability by facilitating the entry and diffusion of bulky feedstock, intermediates, and products.

7. Concluding remarks and perspectives

Significant research has been conducted to develop renewable energy systems that could replace traditional fossil fuels. Lignocellulosic biomass, considered the most abundant and readily available biomass, holds great potential for biocrude production via hydrothermal liquefaction or fast pyrolysis. Biocrude oil, derived from the pyrolysis or liquefaction of biomass, cannot be directly used as a transportation fuel due to its high oxygen content. Therefore, an upgrading process is necessary to remove oxygen and convert poly-aromatic compounds into saturated hydrocarbons, making them comparable to petroleum fuels. Hydrodeoxygenation, which removes oxygen through deoxygenation and saturates double bonds or aromatic rings via hydrogenation, is the most common method for upgrading biocrude oil. Bifunctional catalysts play a critical role in HDO reactions, requiring high deoxygenation activity, water tolerance, and resistance to coke formation. The current HDO catalysts face several key challenges: (1) limited understanding of the role of metal species (sulfided metals, noble metals, reduced non-noble metals) in HDO reactions; (2) limited exploration of catalyst deactivation mechanisms and regeneration strategies; (3) conflicting conclusions regarding the impact of metal particle size on HDO activity; (4) insufficient studies on the influence of zeolite structure on HDO of biocrude with varying dimensions; and (5) a lack of comprehensive understanding of the role of acid type, concentration, and strength in HDO reactions.

This article provides an in-depth review of commonly used sulfided, noble metal, and non-noble metal catalysts for HDO reactions. Among these, non-noble Ni-based catalysts, particularly those with Fe promoters supported on zeolites, emerge as promising candidates due to the strong hydrogenation capability of Ni species, the high hydrogenolysis activity of Fe species, and their superior deoxygenation performance. We also present a detailed analysis of the role of metal particle size in HDO reactions (Fig. 12). Single noble metal atoms exhibit enhanced reaction rates compared to noble metal clusters, attributed to their high atomic efficiency; however, they are prone to deactivation via metal sintering with limited metal loading. Non-noble metal single atoms and clusters demonstrate lower HDO and hydrogenation rates than nanoparticles due to strong metal–support interactions, which create electron-deficient Ni species. Nonetheless, these Ni single atoms and clusters show significant hydrogenolysis and transalkylation activities, particularly selective for the formation of aromatics.


image file: d4gc05059b-f12.tif
Fig. 12 Potential suitable catalysts for HDO reactions.

Furthermore, this review addresses the influence of acid types and concentrations on HDO reactions. High concentrations of acid sites favor deoxygenation, leading to higher hydrocarbon yields, whereas reduced acid sites result in greater yields of alcohols and ethers. While Lewis acid sites (LAS) promote hydrogenolysis and transalkylation, their role in the HDO of saturated alcohols and ethers is limited. In contrast, Brønsted acid sites (BAS) play a crucial role in hydrodehydration and hydrodemethoxylation reactions.

We also examine factors contributing to catalyst deactivation. Microporous catalysts often exhibit higher deactivation rates compared to mesoporous ones due to pore blockages by larger feedstock compounds, intermediates, and condensed-ring compounds. Bulk Ni can mitigate deactivation, presumably through spillover hydrogen, which reduces coke formation.

Finally, we offer challenges and recommendations for future research on biocrude upgrading, which are outlined below.

• Bifunctional catalysts: most current research focuses on developing bifunctional catalysts, which have shown significant improvements in catalytic activity and product selectivity for model compounds, typically studied in batch reactors. More studies should include the HDO of model compounds in continuous flow reactors.

• Biocrude oils as feedstock: investigating biocrude oils derived from lignocellulosic biomass, which are expected to be more viscous and heavier than commonly used model compounds (e.g., phenols, guaiacols), is crucial. These oils must be hydrotreated using improved catalysts and stringent reaction conditions.

• Catalyst pore size: the shape selectivity of zeolites in catalytic pyrolysis and cracking has been studied, but the influence of catalyst pore size on biocrude oil with different weight distributions is rarely investigated. It is necessary to elucidate the effect of pore size on the HDO of biocrude oil.

• Develop natural zeolite-based catalyst: modified natural zeolites, with their medium acidity and large pore sizes, offer an ideal environment for the formation of nanoparticle catalysts, making them well-suited for processing real biocrude oil. Further research should be dedicated to exploring and optimizing natural zeolite-based catalysts to enhance their effectiveness and applicability in industrial biocrude upgrading.

• Catalyst deactivation mechanisms: a deeper understanding of the factors influencing catalyst deactivation during HDO is essential. It is insufficient to attribute deactivation solely to carbon deposition. The fundamental mechanisms should be clarified by modifying factors such as functional groups, temperature, WHSV, and active site concentration. Designing optimal catalysts with high stability will depend on better understanding these deactivation mechanisms.

Data availability

No new primary data were generated or analyzed in this review. The data supporting the results and analysis presented in this article are derived from previously published works, which have been duly cited in the reference section.

Conflicts of interest

There are no conflicts to declare.

Acknowledgements

Funding from the Australian Research Council and Licella Holdings is gratefully acknowledged.

References

  1. L. Taylor, Fossil fuel use reaches global record despite clean energy growth, 2024 Search PubMed.
  2. H. Wang, J. Male and Y. Wang, ACS Catal., 2013, 3, 1047–1070 CrossRef CAS.
  3. P. Yan, I. N. Azreena, H. Peng, H. Rabiee, M. Ahmed, Y. Weng, Z. Zhu, E. M. Kennedy and M. Stockenhuber, Chem. Eng. J., 2023, 476, 146630 CrossRef CAS.
  4. T. S. Nguyen, S. He, G. Raman and K. Seshan, Chem. Eng. J., 2016, 299, 415–419 CrossRef CAS.
  5. T. S. Nguyen, M. Zabeti, L. Lefferts, G. Brem and K. Seshan, Bioresour. Technol., 2013, 142, 353–360 CrossRef CAS PubMed.
  6. A. A. Imran, E. A. Bramer, K. Seshan and G. Brem, Fuel Process. Technol., 2014, 127, 72–79 CrossRef CAS.
  7. R. R. D. J. N. Subagyono, Y. Qi, W. R. Jackson and A. L. Chaffee, J. Anal. Appl. Pyrolysis, 2016, 120, 154–164 CrossRef CAS.
  8. C. Deng, S. B. Liaw, X. Gao and H. Wu, Fuel, 2020, 265, 116991 CrossRef CAS.
  9. M. Lui, B. Chan, A. Yuan, A. Masters, A. Montoya and T. Maschmeyer, ChemSusChem, 2017, 10, 2140–2144 CrossRef CAS PubMed.
  10. Y. Mathieu, L. Sauvanaud, L. Humphreys, W. Rowlands, T. Maschmeyer and A. Corma, ChemCatChem, 2017, 9, 1574–1578 CrossRef CAS.
  11. Y. Long, Y. Yu, Y. W. Chua and H. Wu, Fuel, 2017, 193, 460–466 CrossRef CAS.
  12. V. S. Prabhudesai, L. Gurrala and R. Vinu, Energy Fuels, 2022, 36, 1155–1188 CrossRef CAS.
  13. Z. Yang, W. Chen, J. Zhang, Z. Yang, N. Zhang, C. Zhong and B. H. Chen, J. Catal., 2018, 363, 52–62 CrossRef CAS.
  14. G. Yao, G. J. Wu, W. L. Dai, N. J. Guan and L. D. Li, Fuel, 2015, 150, 175–183 CrossRef CAS.
  15. C. Chen, G. Chen, F. Yang, H. Wang, J. Han, Q. Ge and X. Zhu, Chem. Eng. Sci., 2015, 135, 145–154 CrossRef CAS.
  16. Q. Lai, C. Zhang and J. H. Holles, Appl. Catal., A, 2016, 528, 1–13 CrossRef CAS.
  17. Y. He, T. Bie, J. Lehtonen, R. Liu and J. Cai, Fuel, 2019, 239, 1015–1027 CrossRef CAS.
  18. A. B. Dongil, I. T. Ghampson, R. Garcla, J. L. G. Fierro and N. Escalona, RSC Adv., 2016, 6, 2611–2623 RSC.
  19. A. G. Sergeev and J. F. Hartwig, Science, 2011, 332, 439–443 CrossRef CAS.
  20. L. Nie, P. M. de Souza, F. B. Noronha, W. An, T. Sooknoi and D. E. Resasco, J. Mol. Catal. A: Chem., 2014, 388–389, 47–55 CrossRef CAS.
  21. A. L. Jongerius, R. Jastrzebski, P. C. Bruijnincx and B. M. Weckhuysen, J. Catal., 2012, 285, 315–323 CrossRef CAS.
  22. H. Wang, W. Zhao, M. U. Rehman, W. Liu, Y. Xu, H. Huang, S. Wang, Y. Zhao, D. Mei and X. Ma, ACS Catal., 2022, 12, 4724–4736 CrossRef CAS.
  23. J. He, C. Zhao and J. A. Lercher, J. Catal., 2014, 309, 362–375 CrossRef CAS.
  24. F. Yang, D. Liu, Y. Zhao, H. Wang, J. Han, Q. Ge and X. Zhu, ACS Catal., 2018, 8, 1672–1682 CrossRef CAS.
  25. P. M. Mortensen, J. D. Grunwaldt, P. A. Jensen and A. D. Jensen, Catal. Today, 2016, 259, 277–284 CrossRef CAS.
  26. P. T. M. Do, A. J. Foster, J. Chen and R. F. Lobo, Green Chem., 2012, 14, 1388–1397 RSC.
  27. Y. Nakagawa, M. Ishikawa, M. Tamura and K. Tomishige, Green Chem., 2014, 16, 2197–2203 RSC.
  28. J. Xu, P. Zhu, I. H. E. Azab, B. B. Xu, Z. Guo, A. Y. Elnaggar, G. A. M. Mersal, X. Liu, Y. Zhi, Z. Lin, H. Algadi and S. Shan, Chin. J. Chem. Eng., 2022, 49, 187–197 CrossRef CAS.
  29. H. Ali, T. Vandevyvere, J. Lauwaert, S. K. Kansal, M. K. Sabbe, S. Saravanamurugan and J. W. Thybaut, Catal. Sci. Technol., 2023, 13, 1140–1153 RSC.
  30. H. Ali, T. Vandevyvere, J. Lauwaert, S. K. Kansal, S. Saravanamurugan and J. W. Thybaut, Catal. Commun., 2022, 164, 106436 CrossRef CAS.
  31. S. Li, L. Guo, X. He, C. Qiao and Y. Tian, Renewable Energy, 2022, 194, 89–99 CrossRef CAS.
  32. L. Guo, Y. Tian, X. He, C. Qiao and G. Liu, Fuel, 2022, 322, 124082 CrossRef CAS.
  33. Z. Yu, Y. Wang, G. Zhang, Z. Sun, Y. Liu, C. Shi, W. Wang and A. Wang, J. Catal., 2022, 410, 294–306 CrossRef CAS.
  34. J. He, Z. Wu, Q. Gu, Y. Liu, S. Chu, S. Chen, Y. Zhang, B. Yang, T. Chen, A. Wang, B. M. Weckhuysen, T. Zhang and W. Luo, Angew. Chem., 2021, 133, 23906–23914 CrossRef.
  35. P. Yan, X. Tian, E. M. Kennedy and M. Stockenhuber, Catal. Sci. Technol., 2022, 12, 2184–2196 RSC.
  36. P. Yan, X. Tian, E. M. Kennedy, O. P. Tkachenko and M. Stockenhuber, ACS Sustainable Chem. Eng., 2021, 9, 15673–15682 CrossRef CAS.
  37. L. Hu, X. Wei, Y. Kang, X. Guo, M. Xu and Z. Zong, J. Energy Inst., 2021, 96, 269–279 CrossRef CAS.
  38. H. Taghvaei, A. Moaddeli and A. Khalafi-Nezhad, Fuel, 2021, 293, 120493 CrossRef CAS.
  39. P. Yan, G. Bryant, M. M. J. Li, J. Mensah, E. Kennedy and M. Stockenhuber, Microporous Mesoporous Mater., 2020, 309, 110561–110574 CrossRef CAS.
  40. L. G. G. Pereira, Q. Yuan, H. J. Heeres, S. B. Lima and C. A. M. Pires, J. Anal. Appl. Pyrolysis, 2024, 181, 106593 CrossRef CAS.
  41. R. Deplazes, C. A. Teles, C. Ciotonea, P. Simon, E. E. Rassi, J. Dhainaut, M. Marinova, N. Canilho, F. Richard and S. Royer, ChemSusChem, 2024, e202400685 Search PubMed.
  42. P. Yan, E. Kennedy and M. Stockenhuber, Green Chem., 2021, 23, 4673–4684 RSC.
  43. R. Putra, W. W. Lestari, F. R. Wibowo and B. H. Susanto, Bull. Chem. React. Eng. Catal., 2018, 13, 245–255 CrossRef CAS.
  44. A. M. Robinson, J. E. Hensley and J. W. Medlin, ACS Catal., 2016, 6, 5026–5043 CrossRef CAS.
  45. W. Luo, W. Cao, P. C. A. Bruijnincx, L. Lin, A. Wang and T. Zhang, Green Chem., 2019, 21, 3744–3768 RSC.
  46. X. Wang, M. Arai, Q. Wu, C. Zhang and F. Zhao, Green Chem., 2020, 22, 8140 RSC.
  47. M. M. Ambursa, J. C. Juan, Y. Yahaya, Y. H. Taufiq-Yap, Y. Lin and H. V. Lee, Renewable Sustainable Energy Rev., 2021, 138, 110667 CrossRef CAS.
  48. B. Hao, D. Xu, G. Jiang, T. A. Sabri, Z. Jiang and Y. Guo, Green Chem., 2021, 23, 1562–1583 RSC.
  49. M. Zhang, Y. Hu, H. Wang, H. Li, X. Han, Y. Zeng and C. C. Xu, Mol. Catal., 2021, 504, 111438 CrossRef CAS.
  50. C. Y. Lin and C. Lu, Renewable Sustainable Energy Rev., 2021, 136, 110445 CrossRef CAS.
  51. S. Foteinis, E. Chatzisymeon, A. Litinas and T. Tsoutsos, Renewable Energy, 2020, 153, 588–600 CrossRef CAS.
  52. P. Yan, E. Kennedy, H. Zhang and M. Stockenhuber, Fuel, 2023, 332, 125946 CrossRef CAS.
  53. A. Saravanan, P. Senthil Kumar, S. Jeevanantham, S. Karishma and D. V. N. Vo, Bioresour. Technol., 2022, 344, 126203 CrossRef CAS PubMed.
  54. P. M. Moetensen, J. D. Grunwaldt, P. A. Jensen, K. G. Knudsen and A. D. Jensen, Appl. Catal., A, 2011, 407, 1–19 CrossRef.
  55. R. H. Venderbosch and W. Prins, Biofuels, Bioprod. Biorefin., 2010, 4, 178–208 CrossRef CAS.
  56. D. Mohan, C. U. Pittman and P. H. Steele, Energy Fuels, 2006, 20, 848–889 CrossRef CAS.
  57. A. E. Putun, A. Ozcan, H. F. Gercel and E. Putun, Fuel, 2001, 80, 1371–1378 CrossRef CAS.
  58. P. Das and A. Ganesh, Biomass Bioenergy, 2003, 25, 113–117 CrossRef CAS.
  59. D. Ozcimen and F. Karaosmanoglu, Renewable Energy, 2004, 29, 779–787 CrossRef.
  60. A. Demirbas, A. Caglar, F. Akdeniz and D. Gullu, Energy Source, 2000, 22, 631–639 CrossRef CAS.
  61. S. Sensoz and I. Kaynar, Ind. Crops Prod., 2006, 23, 99–105 Search PubMed.
  62. N. Ozbay, E. Apaydin-Varol and A. E. Putun, Fuel Process. Technol., 2006, 87, 1013–1019 CrossRef.
  63. N. Ozbay, E. Apaydin-Varol, B. B. Uzun and A. E. Putun, Energy, 2008, 33, 1233–1240 CrossRef CAS.
  64. Z. Li and P. E. Savage, Algal Res., 2013, 2, 154–163 CrossRef.
  65. J. A. Capunitan and S. C. Capareda, Fuel, 2013, 112, 60–73 CrossRef CAS.
  66. F. Chiresha, F. X. Collard and J. F. Gorgens, J. Cleaner. Prod., 2020, 260, 12098 Search PubMed.
  67. S. Czernik and A. V. Bridgwater, Energy Fuels, 2004, 18, 590–598 CrossRef CAS.
  68. J. H. Marsman, J. Wildschut, F. Mahfud and H. J. Heeres, J. Chromatogr. A, 2007, 1150, 21–27 CrossRef CAS.
  69. Q. Zhang, J. Chang, T. Wang and Y. Xu, Energy Convers. Manage., 2007, 48, 87–92 Search PubMed.
  70. C. Liu, H. Wang, A. M. Karim, J. Sun and Y. Wang, Chem. Soc. Rev., 2014, 43, 7594–7623 RSC.
  71. K. Wilson, A. F. Lee and J. P. Dacquin, Catalysis for Aternative Energy Generation, 2012 Search PubMed.
  72. J. A. Ramirez, R. J. Brown and T. J. Rainey, Energies, 2015, 8, 6765–6794 CrossRef CAS.
  73. A. Gutierrez, R. K. Kaila, M. L. Honkela, R. Slioor and A. O. I. Krause, Catal. Today, 2009, 147, 239–246 CrossRef CAS.
  74. D. P. Gamliel, B. P. Baillie, E. Augustine, J. Hall, G. M. Bollas and J. A. Valla, Microporous Mesoporous Mater., 2018, 261, 18–28 CrossRef CAS.
  75. H. Shafaghat, P. S. Rezaei and W. M. A. W. Daud, J. Ind. Eng. Chem., 2016, 35, 268–276 Search PubMed.
  76. F. Yang, M. R. Komarneni, N. J. Libretto, L. Li, W. Zhou, J. T. Miller, Q. Ge, X. Zhu and D. E. Resasco, ACS Catal., 2021, 11, 2935–2948 CrossRef CAS.
  77. W. S. Lee, Z. Wang, W. Zheng, D. G. Vlachos and A. Bhan, Catal. Sci. Technol., 2014, 4, 2340–2352 RSC.
  78. W. J. Movick, G. N. Yum, I. T. Ghampson and S. T. Oyama, J. Catal., 2021, 404, 786–801 Search PubMed.
  79. S. Arora, N. Gupta and V. Singh, Green Chem., 2020, 22, 2018–2027 Search PubMed.
  80. M. Zhang, J. Du and Y. Chen, Catal. Sci. Technol., 2023, 13, 1345–1357 RSC.
  81. Y. Yang, A. Gilbert and C. Xu, Appl. Catal., A, 2009, 360, 242–249 Search PubMed.
  82. R. R. Barton, M. Carrier, C. Segura, J. L. G. Fierro, S. Park, H. H. Lamb, N. Escalona and S. W. Peretti, Appl. Catal., A, 2018, 562, 294–309 CrossRef CAS.
  83. B. Peng, Y. Yao, C. Zhao and J. A. Lercher, Angew. Chem., Int. Ed, 2012, 51, 2072–2075 CrossRef CAS.
  84. C. Zhao, Y. Kou, A. A. Lemonidou, X. Li and J. A. Lercher, Angew. Chem., Int. Ed, 2009, 48, 3987–3990 Search PubMed.
  85. D. C. Elliott, Energy Fuels, 2007, 21, 1792–1815 Search PubMed.
  86. C. Zhao and J. A. Lercher, Angew. Chem., 2012, 124, 6037–6042 CrossRef.
  87. W. Song, C. Zhao and J. A. Lercher, Chem. – Eur. J., 2013, 19, 9833–9842 CrossRef CAS PubMed.
  88. X. Zhang, W. Tang, Q. Zhang, T. Wang and L. Ma, Appl. Energy, 2018, 227, 73–79 CrossRef CAS.
  89. S. Liu, Q. Zhu, Q. Guan, L. He and W. Li, Bioresour. Technol., 2015, 183, 93–100 CrossRef CAS PubMed.
  90. R. French and S. Czernik, Fuel Process. Technol., 2010, 91, 25–32 CrossRef CAS.
  91. K. V. Padmaja, N. Atheya, A. K. Bhatnagar and K. K. Singh, Fuel, 2009, 88, 780–785 CrossRef CAS.
  92. E. Y. Park and M. Mori, J. Mol. Catal. B: Enzym., 2005, 37, 95–100 CrossRef CAS.
  93. S. Wang, Y. Gu, Q. Liu, Y. Yao, Z. Guo, Z. Luo and K. Cen, Fuel Process. Technol., 2009, 90, 738–745 CrossRef CAS.
  94. E. Furimsky, Appl. Catal., A, 2000, 199, 147–190 Search PubMed.
  95. P. Yan, J. Mensah, M. Drewery, E. Kennedy, T. Maschmeyer and M. Stockenhuber, Appl. Catal., B, 2021, 281, 119470–119482 Search PubMed.
  96. M. Hellinger, S. Baier, P. M. Mortensen, W. Kleist, A. D. Jensen and J. D. Grunnwaldt, Catalysts, 2015, 5, 1152–1166 Search PubMed.
  97. X. Zhu, L. L. Lobban, R. G. Mallinson and D. E. Resasco, J. Catal., 2011, 281, 21–29 Search PubMed.
  98. I. T. Ghampson, C. Sepulveda, R. Garcia, B. G. Frederick, M. C. Wheeler and N. Escalona, Appl. Catal., A, 2012, 413–414, 78–84 CrossRef CAS.
  99. H. Y. Zhao, D. Li, P. Bui and S. T. Oyama, Appl. Catal., A, 2011, 391, 305–310 CrossRef CAS.
  100. D. Raikwar, M. Munagala, S. Majumdar and D. Shee, Catal. Today, 2019, 325, 117–130 CrossRef CAS.
  101. D. Mey, S. Brunet, C. Canaff, F. Mauge, C. Bouchy and F. Diehl, J. Catal., 2004, 227, 436–447 Search PubMed.
  102. J. A. R. van Veen, H. A. Colijn, P. A. J. M. Hendriks and A. J. van Welsenes, Fuel Process. Technol., 1993, 35, 137–157 CrossRef CAS.
  103. W. Song, W. Lai, Y. Lian, X. Jiang and W. Yang, Fuel, 2020, 116705 CrossRef CAS.
  104. S. J. Huff and M. T. Klein, Ind. Eng. Chem. Fundam., 1983, 22, 426–430 CrossRef.
  105. V. N. Bui, D. Laurenti, P. Afanasiev and C. Geantet, Appl. Catal., B, 2011, 101, 239–245 CrossRef CAS.
  106. Y. Romero, F. Richard and S. Brunet, Appl. Catal., B, 2010, 98, 213–223 CrossRef CAS.
  107. G. Liu, A. W. Robertson, M. M. J. Li, W. C. H. Kuo, M. T. Darby, M. H. Muhieddine, Y. C. Lin, K. Suenaga, M. Stamatakis, J. H. Warner and S. C. E. Tsang, Nat. Chem., 2017, 9, 810–816 CrossRef CAS.
  108. E. Laurent and B. Delmon, Appl. Catal., A, 1994, 100, 77–96 CrossRef.
  109. E. Laurent and B. Delmon, Ind. Eng. Chem. Res., 1993, 32, 2516–2524 CrossRef CAS.
  110. E. Laurent and B. Delmon, J. Catal., 1994, 146, 281–291 Search PubMed.
  111. E. Laurent and B. Delmon, Appl. Catal., A, 1994, 109, 97–115 Search PubMed.
  112. O. I. Senol, E. M. Ryymin, T. R. Viljava and A. O. I. Krause, J. Mol. Catal. A: Chem., 2007, 277, 107–112 CrossRef CAS.
  113. T. R. Viljava, R. S. Komulainen and A. O. I. Krause, Catal. Today, 2000, 60, 83–92 Search PubMed.
  114. Y. K. Hong, D. W. Lee, H. J. Eom and K. Y. Lee, J. Mol. Catal. A: Chem., 2014, 392, 241–246 CrossRef CAS.
  115. K. Leiva, C. Sepulveda, R. Garcia, J. L. G. Fierro, G. Aguila, P. Baeza, M. Villarroel and N. Escalona, Appl. Catal., A, 2013, 467, 568–574 CrossRef CAS.
  116. A. Bjelic, M. Grilc and B. Likozar, Chem. Eng. J., 2020, 394, 124914 CrossRef CAS.
  117. Z. Tian, X. Chen, T. Liu, J. Wang, C. Wang, R. Shu, J. Liu and Y. Chen, Renewable Energy, 2023, 218, 119304 CrossRef CAS.
  118. Z. He, C. Jiang, Z. Wang, K. Wang, Y. Sun, M. Yao, Z. Li and Z. Liu, Sustainable Energy Fuels, 2020, 4, 4558–4569 Search PubMed.
  119. X. Liu, W. Jia, G. Xu, Y. Zhang and Y. Fu, ACS Sustainable Chem. Eng., 2017, 5, 8594–8601 Search PubMed.
  120. C. Wen, M. Lu, M. Zhao, J. Zhu, M. Li, J. Shang, Y. Shan and C. Song, Energy Fuels, 2022, 36, 14986–14993 CrossRef CAS.
  121. L. Wang, Y. Yang, P. Yin, Z. Ren, W. Liu, Z. Tian, Y. Zhang, E. Xu, J. Yin and M. Wei, ACS Appl. Mater. Interfaces, 2021, 13, 31799–31807 CrossRef CAS PubMed.
  122. J. Cao, A. Li, Y. Zhang, L. Mu, X. Huang, Y. Li, T. Yang, C. Zhang and C. Zhou, Mol. Catal., 2021, 505, 111507 CrossRef CAS.
  123. I. T. Ghampson, C. Sepulveda, A. B. Dongil, G. Pecchi, R. Garcia, J. L. G. Fierro and N. Escalona, Catal. Sci. Technol., 2016, 6, 7289–7306 RSC.
  124. X. Zhang, W. Tang, L. Ma, Q. Zhang, Y. Yu and Q. Liu, Catal. Commun., 2013, 33, 15–19 Search PubMed.
  125. A. R. Ardiyanti, S. A. Khromova, R. H. Venderbosch, V. A. Yakovlev and H. J. Heeres, Appl. Catal., B, 2012, 117–118, 105–117 CrossRef CAS.
  126. Q. Zhang, Z. Yu, J. Feng, P. Fornasiero, Y. He and D. Li, ACS Sustainable Chem. Eng., 2020, 8, 15288–15298 Search PubMed.
  127. Q. Wang, J. Feng, L. Zheng, B. Wang, R. Bi, Y. He, H. Liu and D. Li, ACS Catal., 2020, 10, 1353–1365 Search PubMed.
  128. F. Yang, N. J. Libretto, M. R. Komarneni, W. Zhou, J. T. Miller, X. Zhu and D. E. Resasco, ACS Catal., 2019, 9, 7791–7800 CrossRef CAS.
  129. P. M. Moetensen, J. D. Grunwaldt, P. A. Jensen and A. D. Jensen, Catal. Today, 2016, 259, 277–284 Search PubMed.
  130. P. Yan, M. M. J. Li, A. A. Adesina, G. Zhao, A. Setiawan, E. M. Kennedy and M. Stockenhuber, Catal. Sci. Technol., 2020, 10, 810–825 RSC.
  131. P. Yan, J. Mensah, A. Adesina, E. Kennedy and M. Stockenhuber, Appl. Catal., B, 2020, 267, 118690–118700 Search PubMed.
  132. H. Wang, M. Feng and B. Yang, Green Chem., 2017, 19, 1668–1673 Search PubMed.
  133. S. Dutta, B. Shumeiko, J. Aubrecht, K. Karaskova, D. Fridrichova, K. Pacultova, T. Hlincik and D. Kubicka, J. Catal., 2024, 435, 115553 Search PubMed.
  134. T. M. Huynh, U. Armbruster, M. M. Pohl, M. Schneider, J. Radnik, D. L. Hoang, B. M. Q. Phan, D. A. Nguyen and A. Martin, ChemCatChem, 2014, 6, 1940–1951 CrossRef CAS.
  135. P. Yan, E. Kennedy and M. Stockenhuber, J. Catal., 2021, 404, 1–11 Search PubMed.
  136. C. Li, Y. Nakagawa, M. Tamura, A. Nakayama and K. Tomishige, ACS Catal., 2020, 10, 14624–14639 CrossRef CAS.
  137. H. Fang, J. Zheng, X. Luo, J. Du, A. Roldan, S. Leoni and Y. Yuan, Appl. Catal., A, 2017, 529, 20–31 Search PubMed.
  138. R. N. Olcese, M. Bettahar, D. Petitjean, B. Malaman, F. Giovanella and A. Dufour, Appl. Catal., B, 2012, 115–116, 63–73 Search PubMed.
  139. L. Huang, F. Tang, P. Liu, W. Xiong, S. Jia, F. Hao, Y. Lv and H. Luo, Fuel, 2022, 327, 125115 Search PubMed.
  140. E. J. Shin and M. A. Keane, Ind. Eng. Chem. Res., 2000, 39, 883–892 CrossRef CAS.
  141. C. Zerva, S. A. Karakoulia, K. G. Kalogiannis, A. Margellou, E. F. Iliopoulou, A. A. Lappas, N. Papayannakos and K. S. Triantafyllidis, Catal. Today, 2021, 366, 57–67 Search PubMed.
  142. H. Guo, J. Zhao, Y. Chen, X. Lu, Y. Yang, C. Ding, L. Wu, L. Tian, J. Long, G. Yang, T. Tang, N. Tsubaki and X. Gu, ACS Catal., 2024, 14, 703–717 CrossRef CAS.
  143. C. Zhao, S. Kasakov, J. He and J. A. Lercher, J. Catal., 2012, 296, 12–23 Search PubMed.
  144. A. J. R. Hensley, Y. Wong and J. S. McEwen, ACS Catal., 2015, 3, 523–536 Search PubMed.
  145. T. Nimmanwudipong, R. C. Runnebaum, D. E. Block and B. C. Gates, Energy Fuels, 2011, 25, 3417–3427 Search PubMed.
  146. F. P. Bouxin, X. Zhang, I. N. King, A. F. Lee, M. J. H. Simmons, K. Wilson and S. D. Jackson, Appl. Catal., A, 2017, 539, 29–37 CrossRef CAS.
  147. D. Prochazkova, P. Zamostny, M. Bejblova, L. Cerveny and J. Cejka, Appl. Catal., A, 2007, 332, 56–64 CrossRef CAS.
  148. P. M. D. Souza, R. C. Rabelo-Neto, L. E. P. Borges, G. Jacob, B. H. Davis, D. E. Resasco and F. B. Noronha, ACS Catal., 2017, 7, 2058–2073 CrossRef.
  149. C. Newman, X. Zhou, B. Goundie, I. T. Ghampson, R. A. Pollock, Z. Ross, M. C. Wheeler, R. W. Meulenberg, R. N. Austin and B. G. Frederick, Appl. Catal., A, 2014, 477, 64–74 CrossRef CAS.
  150. Y. Lin, C. Li, H. Wan, H. Lee and C. Liu, Energy Fuels, 2011, 25, 890–896 Search PubMed.
  151. J. Wildschut, M. Iqbal, F. H. Mahfud, I. M. Cabrera, R. H. Venderbosch and H. J. Heeres, Energy Environ. Sci., 2010, 3, 962–970 RSC.
  152. M. Benes, R. Bilbao, J. M. Santos, J. A. Melo, A. Wisniewski and I. Fonts, Energy Fuels, 2019, 33, 4272–4286 Search PubMed.
  153. T. S. Nguyen, D. Laurenti, P. Afanasiev, Z. Konuspayeva and L. Picclolo, J. Catal., 2016, 344, 136–140 Search PubMed.
  154. B. Pwaelec, C. V. Loricera, C. Geantet, N. Mota, J. L. G. Fierro and R. M. Navarro, Mol. Catal., 2020, 482, 110669 CrossRef.
  155. C. Zhao, J. He, A. A. Lemonidou, X. Li and J. A. Lercher, J. Catal., 2011, 280, 8–16 CrossRef CAS.
  156. Z. He, M. Hu and X. Wang, Catal. Today, 2018, 302, 136–145 CrossRef CAS.
  157. P. He, Q. Yi, H. Geng, Y. Shao, M. Liu, Z. Wu, W. Luo, Y. Liu and V. Valtchev, ACS Catal., 2022, 12, 14717–14726 CrossRef CAS.
  158. Y. K. Hong, D. W. Lee, H. J. Eom and K. Y. Lee, Appl. Catal., B, 2014, 150–151, 438–445 Search PubMed.
  159. C. A. Teles, C. Ciotonea, A. L. Valant, C. Canaff, J. Dhainaut, J. M. Clacens, F. B. Noronha, F. Richard and S. Royer, Appl. Catal., B, 2023, 338, 123030 CrossRef.
  160. P. Yan, X. Tian, E. M. Kennedy and M. Stockenhuber, J. Catal., 2023, 427, 115102 CrossRef CAS.
  161. P. Yan, H. Peng, X. Wu, H. Rabiee, Y. Weng, M. Konarova, J. Vogrin, A. Rozhkovskaya and Z. Zhu, J. Catal., 2024, 432, 115439 Search PubMed.
  162. P. Yan, S. Xi, H. Peng, D. R. G. Mitchell, L. Harvey, M. Drewery, E. M. Kennedy, Z. Zhu, G. Sankar and M. Stockenhuber, J. Am. Chem. Soc., 2023, 145, 9718–9728 CrossRef CAS.
  163. L. Wang, Y. Yang, Y. Shi, W. Liu, Z. Tian, X. Zhang, L. Zheng, S. Hong and M. Wei, Chem. Catal., 2023, 3, 100483 Search PubMed.
  164. P. Yan, E. Kennedy and M. Stockenhuber, J. Catal., 2021, 396, 157–165 CrossRef CAS.
  165. W. Helmut, Fuel, 1982, 61, 1021–1026 CrossRef.
  166. P. E. Ruiz, B. G. Frederick, W. J. De Sisto, R. N. Austin, L. R. Radovic, K. Leiva, R. Garcia, N. Escalona and M. C. Wheeler, Catal. Commun., 2012, 27, 44–48 CrossRef CAS.
  167. S. Jiang, R. Shu, A. Wang, Z. Deng, Y. Xiao, J. Li, Q. Meng and Q. Zhang, Green Chem., 2024, 26, 9330–9345 Search PubMed.
  168. I. D. Mora-Vergara, L. H. Moscoso, E. M. Gaigneaux, S. A. Giraldo and V. G. Baldovino-Medrano, Catal. Today, 2018, 302, 125–135 CrossRef CAS.
  169. V. N. Bui, D. Laurenti, P. Delichere and C. Geantet, Appl. Catal., B, 2011, 101, 246–255 CrossRef CAS.
  170. G. F. Leal, S. Lima, I. Graca, H. Carrer, D. H. Barrett, E. Teixeira-Neto, A. A. S. Curvelo, C. B. Rodella and R. Rinaldi, iScience, 2019, 15, 467–488 CrossRef CAS PubMed.
  171. M. Chen, Y. Huang, H. Pang, X. Liu and Y. Fu, Green Chem., 2015, 17, 1710–1717 RSC.
  172. C. A. Teles, P. M. de Souza, R. C. Rabelo-Neto, A. T. G. Jacobs, C. V. Weikert, Z. M. Magriotis, V. O. O. Goncalves, D. E. Resasco and F. B. Noronha, Mol. Catal., 2022, 523, 111491 Search PubMed.
  173. Y. Xin, L. Dong, Y. Guo, X. Liu, Y. Hu and Y. Wang, J. Catal., 2019, 375, 202–212 CrossRef CAS.
  174. E. H. Lee, R. Park, H. Kim, S. H. Park, S. C. Jung and J. Jeon, J. Ind. Eng. Chem., 2016, 37, 18–21 Search PubMed.
  175. H. J. Lee and H. Kim, et al. , Sci. Rep., 2016, 6, 28765 Search PubMed.
  176. L. Lu, X. Y. Wei, M. Xu, Y. Kang, X. Guo, F. Zhang, Z. Zong and H. Bai, J. Environ. Chem. Eng., 2021, 9, 106599 CrossRef.
  177. J. Mao, N. Liu, X. Meng and L. Shi, Adv. Sustainable Syst., 2024, 2400276 CrossRef CAS.
  178. W. Li, H. Wang, X. Wu, L. E. Betancourt, C. Tu, M. Liao, X. Cui, F. Li, J. Zheng and R. Li, Fuel, 2020, 274, 117859 CrossRef CAS.
  179. H. Wang, S. Wang, L. Guo, C. Qiao and Y. Tian, Chem. Eng. J., 2023, 455, 140647 CrossRef CAS.
  180. Y. Tian, L. Guo, C. Qiao, Z. Sun, Y. Yamauchi and S. Liu, Appl. Catal., B, 2023, 336, 122945 CrossRef CAS.
  181. S. Gutierrez-Rubio, M. Shamzhy, J. Cejka, D. P. Srrano, I. Moreno and J. M. Coronado, Appl. Catal. B: Env., 2021, 285, 119826 CrossRef CAS.
  182. Y. Xu, W. Wang, B. Liu, Y. Pan, B. Dong, Y. Li, Y. Li, H. Guo, Y. Chai and C. Liu, J. Catal., 2022, 407, 19–28 CrossRef CAS.
  183. B. Priya, A. Kumar and S. K. Singh, Sustainable Energy Fuels, 2024, 8, 4376–4384 RSC.
  184. P. Sudarsanam, H. Li and T. V. Sagar, ACS Catal., 2020, 10, 9555–9584 CrossRef CAS.
  185. S. Li, M. Dong, J. Yang, X. Cheng, X. Shen, S. Liu, Z. Wang, X. Gong, H. Liu and B. Han, Nat. Commun., 2021, 12, 584 CrossRef CAS.
  186. L. Nie, B. Peng and X. Zhu, ChemCatChem, 2018, 10, 1064–1074 CrossRef CAS.
  187. Z. Yang, B. Luo, R. Shu, Z. Zhong, Z. Tian, C. Wang and Y. Chen, Fuel, 2022, 319, 123617 CrossRef CAS.
  188. X. Tang, W. Ding and H. Li, Fuel, 2021, 290, 119883 CrossRef CAS.
  189. J. A. Hunns, L. J. Durndell, X. Zhang, M. Konarova, A. F. Lee and K. Wilson, ACS Catal., 2024, 14, 7052–7061 CrossRef CAS.
  190. Y. Lin, R. Shu, T. Yin, Z. Tian, C. Wang and Y. Xu, Mol. Catal., 2024, 567, 114444 Search PubMed.
  191. T. Chen, L. Guo, H. Peng, Y. Li, X. Wang, H. Bai, Z. Du and W. Li, Fuel Process. Technol., 2022, 236, 107440 CrossRef CAS.
  192. Y. Xin, Z. Zheng, Z. Luo, C. Jiang, S. Gao, Z. Wang and C. Zhao, Green Energy Environ., 2022, 7, 1014–1023 CrossRef CAS.
  193. K. J. Stephens, A. M. Allgeier, A. L. Bell, T. R. Carlson, Y. Cheng, J. T. Douglas, L. A. Howe, C. A. Menning, S. A. Neuenswander, S. K. Sengupta, P. S. Thapa and J. C. Ritter, ACS Catal., 2020, 10, 12996–13007 CrossRef.
  194. X. Feng, Z. Cui, Y. Bao, H. Chu, X. Wu, C. Shen and T. Tan, J. Catal., 2021, 401, 214–223 CrossRef CAS.
  195. Z. Zhang, H. Xu and H. Li, Fuel, 2022, 324, 124400 CrossRef CAS.
  196. P. Yan, M. Drewery, J. Mensah, J. C. Makie, E. Kennedy and M. Stockenhuber, Top. Catal., 2020, 63, 778–792 CrossRef CAS.
  197. D. Gao, C. Schweitzer, H. T. Hwang and A. Varma, Ind. Eng. Chem. Res., 2014, 53, 18658–18667 CrossRef CAS.
  198. T. Nimmanwudipong, R. C. Runnebaum, K. Tay, D. E. Block and B. C. Gates, Catal. Lett., 2011, 141, 1072–1078 CrossRef CAS.
  199. J. Engelhardt, P. Lyu, P. Nachtigall, F. Schuth and A. M. Garcia, ChemCatChem, 2017, 9, 1985–1991 CrossRef CAS.
  200. J. Wildschut, I. Melian-Cabrera and H. J. Heeres, Appl. Catal., B, 2010, 99, 298–306 CrossRef CAS.
  201. M. V. Bykova, D. Y. Ermakov, S. A. Khromova, A. A. Smirnov, M. Y. Lebedev and V. A. Yakovlev, Catal. Today, 2014, 220–222, 21–31 CrossRef CAS.
  202. M. A. Gonzalez-Borja and D. E. Resasco, Energy Fuels, 2011, 25, 4155–4162 CrossRef CAS.
  203. H. O. Otor, J. B. Steiner, C. G. Sancho and A. C. Alba-Rubio, ACS Catal., 2020, 10, 7630–7656 CrossRef CAS.
  204. L. Zhou and A. Lawal, Catal. Sci. Technol., 2016, 6, 1442–1454 RSC.

This journal is © The Royal Society of Chemistry 2025
Click here to see how this site uses Cookies. View our privacy policy here.