Catalytic Deoxygenation of Lipids for Bio-Jet Fuel: Advances in Catalyst Design and Reaction Pathways
Abstract
:1. Introduction
2. Construction of Efficient Multifunctional Catalysts
2.1. Design of Active Sites
2.1.1. Noble Metal Catalysts
2.1.2. Non-Noble Metal Catalysts
2.1.3. Non-Noble Metal Compound Catalysts
2.2. Morphology and Texture Properties
2.3. Metal Support Interaction
2.4. Synergetic Effects Between Metal and Acid Sites
2.5. Synergetic Effects Between Metal and Oxygen Vacancy
2.6. Catalyst Stability
3. Reaction Regulation of Lipid Conversion to Alternative Jet Fuels
3.1. Cleavage of Ester Bond
3.2. Deoxygenation
3.3. Cracking, Isomerization, and Aromatization
3.4. Side Reactions
3.5. The Influence of Reactants
4. Summary and Outlook
- It is necessary to accurately design the active center of the catalyst to improve performance. The rational design of the electronic properties and modulation of the coordination environment at active centers significantly enhances their intrinsic catalytic activity. Synergistic catalysis between active sites is pivotal for achieving efficient transformations, where structural engineering can be strategically employed to tailor reaction pathways. The distance between the two active centers (metal acid and metal oxygen vacancies) may be important parameters, but there are few pieces of research regarding that, which might be caused by the lack of effective and feasible in situ characterization methods.
- The stability and regeneration of catalysts require attention. Some strategies have been used to enhance the catalyst life, such as utilizing strong metal support interactions to improve metal dispersion and avoid catalyst sintering. Modification technologies for optimizing surface properties, especially for the catalysts of hydrothermal reactions, can maintain the hydrothermal stability of the catalyst while keeping the accessibility of the active site. Carbon deposition (coke) is usually the dominated reasons for catalyst deactivation during the bio-refining of lipids to produce bio-jet fuel. Accordingly, promoters such as both metal or non-metal species can be introduced to realize the in situ conversion and removal of carbon deposition, or integrated regeneration technology to oxidatively remove coke and then reduce the catalyst. It is necessary to study the recovery ability of regeneration technology on the physical and chemical properties of the catalyst.
- With the help of advanced in situ characterization methods and theoretical calculations, the structure–activity relationship of catalysts is constructed. The production of alternative jet fuels from bio fats involves complex reaction mechanism, while the persuasion of only indirectly inferring from the macroscopic properties of the catalyst and the distribution of products needs to be improved. For example, in situ FT-IR could be used to explore the functional group changes after the adsorption of reactants on specific structural sites on the catalyst surface, so as to speculate the adsorption surface reaction desorption behavior of raw materials. Furthermore, the combination of various in situ characterization techniques will contribute to monitoring the reaction process in real time, capture key intermediates, and finally clarify the reaction mechanism. A thorough understanding of the mechanism of the deoxidation, cracking, isomerization, and aromatization reactions involved in the process of oil conversion can provide theoretical guidance for the design of catalysts and the control of reaction conditions.
- The catalytic deoxygenation reaction under mild reaction conditions is always the goal of researchers. Other types of reaction have gradually attracted more attention from researchers. For example, photocatalytic conversion technology is favored due to its mild reaction conditions and low energy consumption. In particular, it is very attractive because it is expected to use natural sunlight as the final energy. Research on various reaction types in the process of bio lipid deoxygenation will further contribute to achieving the goal of net zero emissions. On the other hand, coupling thermal catalysis with both enzyme or photocatalysis is possibly promising, which would upset the thermal dynamic equilibrium to achieve high yields of targeted biofuels.
- The production of bio jet fuel from lipids is considered as a complex reaction system. Real bio-oils (animal and vegetable oils, microalgae oils, waste cooking oils, etc.) contain complex raw materials. There are significant differences between various lipid sources, which requires catalysts to have strong adaptability to different raw materials. During the reaction process, multiple intermediates coexist and involve various reaction types (deoxygenation, cracking, isomerization, and aromatization) and different reaction mechanisms. These together form a complex reaction network for the catalytic conversion of lipids. The deoxygenation of model compounds often resulted in one or two components of alkanes as products, while we hope to obtain hydrocarbon mixtures that meet strict fuel standards through the simple conversion of complex biomass. It is necessary to conduct in-depth research on the interactions between different substances and reactions in the complex reaction network of lipid deoxygenation reactions in order to develop more suitable catalytic systems.
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
Abbreviations
SAF | Sustainable Aviation Fuel |
HEFA | Hydroprocessed Esters and-Fatty Acids |
F-T | Fischer–Tropsch |
FT-SKA | Fischer–Tropsch containing aromatics |
SIP | Direct sugars to hydrocarbons producing Synthetic Iso-Paraffins |
ATJ | Alcohol-to-Jet |
CHJ | Catalytic Hydrothermolysis Jet Fuel |
HH-SPK | Hydroprocessed Hydrocarbons |
DO | Deoxygenation |
HIS | Hydroisomerization |
HC | Hydrocracking |
HDO | Hydrodeoxygenation |
DCO | Decarbonylation |
DCX | Decarboxylation |
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Year | Review Title | Ref. |
---|---|---|
2020 | Recent advancement in deoxygenation of fatty acids via homogeneous catalysis for biofuel production | [13] |
2021 | Catalytic hydrothermal deoxygenation of lipids and fatty acids to diesel-like hydrocarbons: a review | [14] |
2021 | Hydroconversion of fatty acids and vegetable oils for production of jet fuels | [15] |
2022 | Hydrocracking, hydrogenation, and hydro-deoxygenation of fatty acids, esters, and glycerides: Mechanisms, kinetics, and transport phenomena | [16] |
2022 | Production of jet biofuels by catalytic hydroprocessing of esters and fatty acids: A review | [17] |
2022 | Biosynthesis of alkanes/alkenes from fatty acids or derivatives (triacylglycerols or fatty aldehydes) | [18] |
2022 | Advances in catalytic decarboxylation of bioderived fatty acids to diesel-range alkanes | [19] |
2022 | Recent advances in the catalytic deoxygenation of plant oils and prototypical fatty acid models compounds: Catalysis, process, and kinetics | [20] |
2023 | Hydroprocessing of lipids: An effective production process for sustainable aviation fuel | [21] |
2023 | Deoxygenation of vegetable oils and fatty acids: How can we steer the reaction selectivity towards diesel range hydrocarbons? | [22] |
2024 | Emerging catalysis in solvent-free hydrodeoxygenation of waste lipids under mild conditions: A review | [23] |
2024 | Dilemma and strategies for production of diesel-like hydrocarbons by deoxygenation of biomass-derived fatty acids | [24] |
2025 | A mini review on catalytic hydrodeoxygenation for biofuels production: catalyst, mechanism, and process | [25] |
Catalysts | Feed | Reaction Conditions | Activity Performance | Ref. |
---|---|---|---|---|
Pt/C | Palmitic acid | Batch reactor, T = 370 °C, | 76% conversion, 90% C15 selectivity | [26] |
P = 0.1 MPa N2, t = 1 h | ||||
Rea/Cat (wt/wt) = 5/3 | ||||
Pt/C | Stearic acid | Batch reactor, T = 350 °C, | 100% conversion, 90% alkanes selectivity | [27] |
P = 0.1 MPa N2, t = 3 h, | ||||
Rea/Cat (wt/wt) = 20 | ||||
Pt/ZIF-67/zeolite 5A | Palmitic acid | Batch reactor, | 95% conversion, 91.7% C15 selectivity | [28] |
T = 300 °C, P = 2 MPa CO2, t = 5 h, | ||||
Rea/Cat (wt/wt) = 1 | ||||
Pt/ZIF-67/zeolite 5A | Lauric acid | Batch reactor, | 95% conversion, 93.5% C11 selectivity | [28] |
T = 320 °C, P = 2 MPa CO2, t = 2 h, | ||||
Rea/Cat (wt/wt) = 1 | ||||
Pd/C | Palmitic acid | Batch reactor, | 85 wt% Hydrocarbons yield | [29] |
T = 270 °C, P = 2 MPa H2, t = 10 h, | ||||
Rea/Cat (wt/wt) = 5 | ||||
Pd@Al3-mSiO2 | Methyl palmitate | Batch reactor, | 95.6% conversion, 99% alkanes selectivity | [30] |
T = 260 °C, P = 3 MPa H2, t = 5 h, | ||||
Rea/Cat (wt/wt) = 10/3 | ||||
Ru@TpPON | Stearic acid | Batch reactor, | 100% conversion, 96.0% alkanes selectivity | [31] |
T = 180 °C, P = 3 MPa H2, t = 8 h, | ||||
Rea/Cat (wt/wt) = 5 | ||||
Pt/TiO2 | Stearic acid | LED photoreactor, | 96% conversion, 92% C17 yield | [32] |
365 nm, 18 W, | ||||
T = 30 °C, P = 0.1 MPa H2, t = 2 h, | ||||
Rea/Cat (wt/wt) = 1.5 | ||||
1.5Au-0.8Pd/TiO2 | Hexanoic acid | Xe lamp photoreactor, 300 W, | 94.7% conversion, 100% pentane selectivity | [33] |
T = 20 °C, P = 0.5 MPa H2, t = 4 h, | ||||
Rea/Cat (wt/wt) = 1.5 |
Catalysts | Feed | Reaction Conditions | Activity Performance | Ref. |
---|---|---|---|---|
Ni-FSM-16 | Oleic acid | Round-bottom glass flask | 85.7% conversion, 87% hydrocarbons selectivity | [35] |
T = 350 °C, t = 0.5 h, | ||||
Rea/Cat (wt/wt) = 10 | ||||
Ni/ZSM-5.SAPO-11 | Palmitic oil | Batch reactor, | 51% jet fuel yield | [36] |
T = 350 °C, P = 2.7 MPa H2, t = 2 h, | ||||
Rea 10 mL, Cat 2 g | ||||
Ni/TS-1 | Palmitic acid | Batch reactor, | 100% conversion, 91.6% C15 selectivity | [37] |
T = 260 °C, P = 4 MPa H2, t = 10 h, | ||||
Rea/Cat (wt/wt) = 5 | ||||
Ni-Al0.33Ox | Stearic acid | Batch reactor, T = 250 °C, t = 8 h, | 99% conversion, 93.2% C18 selectivity | [38] |
Rea/Cat (wt/wt) = 2.5 | ||||
isopropanol as hydrogen source | ||||
Ni/HUSY-4 | Stearic acid | Batch reactor, | 100% conversion, 96% C18 selectivity | [39] |
T = 260 °C, P = 4 MPa H2, t = 1 h, | ||||
Rea/Cat (wt/wt) = 10 | ||||
Ni-ZrO2 | Methyl laurate | Batch reactor, | 100% alkanes yield, 87.6% C11 selectivity | [40] |
T = 280 °C, P = 2 MPa H2, t = 8 h, | ||||
Rea/Cat (wt/wt) = 2 | ||||
Ni/CeO2-NR | Palmitic acid | Batch reactor, | 99.5% conversion, 84.0% C15 selectivity | [41] |
T = 270 °C, P = 2 MPa H2, t = 10 h, | ||||
Rea/Cat (wt/wt) = 5 | ||||
Ni/B2O3-ZrO2 | Methyl palmitate | Batch reactor, | 100% conversion, 84.4% biofuel yield 65% C15 selectivity | [42] |
T = 375 °C, P = 4 MPa H2, | ||||
Rea/Cat (wt/wt) = 10 | ||||
Ni/BZ-Al50 | Palmitic oil | Trickle bed, | 75% conversion, 52% n-C16-15 selectivity | [43] |
T = 375 °C, P = 3 MPa H2, t = 6 h, | ||||
LHSV = 1.2 h−1, H2/oil = 400 (v/v) | ||||
15Co/ZrO2 | Ethyl palmitate | Batch reactor, | 100% conversion, 82% alkanes selectivity | [44] |
T = 240 °C, P = 2 MPa H2, t = 8 h, | ||||
Rea/Cat (wt/wt) = 2 | ||||
Co@SiO2 | Palmitic acid | Batch reactor, | 100% conversion, 100% alkanes selectivity | [45] |
T = 300 °C, P = 2 MPa H2, t = 4 h, | ||||
Rea/Cat (wt/wt) = 3 | ||||
Ni1Mo1/ZrO2 | Methyl palmitate | Trickle bed, | 99.4% conversion, 95.0% alkanes selectivity | [46] |
T = 270 °C, P = 3 MPa H2, | ||||
H2/oil = 400 (v/v), | ||||
contact time = 71.3 min | ||||
Co5Ni5/HAP | Methyl stearate | Batch reactor, | 99.4% conversion, 98.2% C17 selectivity | [47] |
T = 290 °C, P = 0.1 MPa N2, t = 8 h, | ||||
Rea/Cat (wt/wt) = 1.5, | ||||
methanol as hydrogen source | ||||
10%Ni-5%Fe/γ-Al2O3 | Palmitic acid | Batch reactor, | 100% conversion, 83.7% C16 + C15 selectivity | [48] |
T = 270 °C, P = 1.5 MPa H2, t = 6 h, | ||||
Rea/Cat (wt/wt) = 2 | ||||
Ni-Er/50S-Al | Jatropha oil | Trickle bed, | 64.7% biofuel yield 99.3% deoxygenation ratio | [49] |
340 °C, LHSV = 0.8 h−1, P = 3 MPa | ||||
Flow = 200 mL/min (H2/N2 = 1:1) | ||||
Ni3Fe1Re/HZSM-5 | Stearic acid | Batch reactor, T = 260 °C, | 100% conversion, 94.8% C17 selectivity | [50] |
P = 3 MPa H2, t not mentioned, | ||||
Rea/Cat (wt/wt) = 10/3 |
Catalysts | Feed | Reaction Conditions | Activity Performance | Ref. |
---|---|---|---|---|
CaO | Waste cooking oil | Batch reactor, | 20.9% acid selectivity, 45.4% alkane selectivity, 18.9% alkene selectivity, 3.0% aromatic selectivity, | [54] |
T = 300 °C, P = 2.5 MPa N2, t = 1 h, | ||||
Rea/Cat (wt/wt) = 20 | ||||
TiO2 | Waste cooking oil | Batch reactor, | 5.4% acid selectivity, 32.8% alkane selectivity, 3.2% alkene selectivity, 48.5% aromatic selectivity, | [54] |
T = 300 °C, P = 2.5 MPa N2, t = 1 h, | ||||
Rea/Cat (wt/wt) = 20 | ||||
Sulfide NiMo/γ-Al2O3 | Degummed palmitic oil | Batch reactor, | 70% diesel yield | [55] |
T = 260 °C, P = 3 MPa H2, t = 0.5 h, | ||||
Rea 2 mL, Cat 0.1 g | ||||
Ni1.5P/AC | Palmitic acid | Trickle bed, | 100% conversion, 56% oil yield, 64% C11-15 selectivity | [56] |
T = 350 °C, P = 0.1 MPa, 5% H2/Ar, | ||||
gas/feed = 15 (v/v), WHSV = 0.25 h−1 | ||||
Ni12P5/SiO2 | Palmitic acid | Batch reactor, | 100% conversion, 59.8% C15 yield 33.7% C16 yield | [57] |
T = 270 °C, P = 1.2 MPa H2, t = 6 h, | ||||
Rea/Cat (wt/wt) = 2 | ||||
Mo2C | Palmitic acid | Batch reactor, | 100% conversion, 96.6% n-C16 selectivity | [58] |
T = 275 °C, P = 2 MPa H2, t = 8 h, | ||||
Rea/Cat (wt/wt) = 5 | ||||
Mo2.56CN0.50 | Palmitic acid | Trickle bed, | 99.6% conversion, 99.2% alkanes selectivity | [59] |
T = 300 °C, P = 4 MPa H2, | ||||
H2/feed= 600 (v/v), | ||||
contact time = 1.18 min | ||||
Ni-Mo2C/MCM-41 | Palmitic oil | Trickle bed, | 83.3% biofuel yield 95.2% C15-18 selectivity | [60] |
T = 340 °C, LHSV = 1.4 h−1, P = 3 MPa | ||||
Flow = 200 mL/min, (H2/N2 = 1) | ||||
Ni-Mo2C/MCM-41 | Palmitic acid | Batch reactor, | 100% conversion, 96.8% alkanes selectivity | [61] |
T = 270 °C, P = 2 MPa H2, t = 7 h, | ||||
Rea/Cat (wt/wt) = 5 | ||||
W-1000 (W2C) | Stearic acid b | Batch reactor, | 81% conversion, 83% deoxygenation products selectivity | [62] |
T = 350 °C, P = 0.5 MPa H2, t = 5 h, | ||||
Rea/Cat (wt/wt) = 4 | ||||
Ni-W2C-WC/AC | Jatropha oil | Trickle bed, T = 340 °C, | 99.7% deoxygenation rate 94.5% C15-18 selectivity | [63] |
P = 3 MPa, WHSV = 55.2 h−1, | ||||
Flow = 200 mL/min (H2/N2 = 1) | ||||
Ni-Mo2N/γ-Al2O3 | Jatropha oil | Trickle bed, | 100% conversion, 80.1% C15-18 selectivity | [64] |
T = 320 °C, LHSV = 0.8 h−1, P = 3 MPa | ||||
Flow = 200 mL/min (H2/N2 = 1) | ||||
Ni3Mo3N@600 | Palmitic acid | Batch reactor, | 100% conversion, 90% alkanes selectivity | [65] |
T = 270 °C, P = 2 MPa H2, t = 10 h, | ||||
Rea/Cat (wt/wt) = 10 |
Catalyst Type | Advantages | Disadvantages |
---|---|---|
Noble metal catalysts | Wide application and excellent activity. The potential for developing photocatalysts is enormous | Expensive and not environmentally friendly Sensitive to impurities of feedstocks |
Non-noble metal catalysts | Most of them are cheap and easy to obtain. High catalytic activity | Stability is insufficient for industrialization |
Non-noble metal compound catalysts | Most of them are cheap and easy to obtain. Metal sulfides, phosphides, carbides, and nitrides exhibit excellent activity. | The activity of metal oxides is limited There is a risk of contamination in sulfurized catalysts Metal carbides and nitrides are prone to oxidation and deactivation |
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Zhou, L.; Yang, H.; Hu, C. Catalytic Deoxygenation of Lipids for Bio-Jet Fuel: Advances in Catalyst Design and Reaction Pathways. Catalysts 2025, 15, 518. https://doi.org/10.3390/catal15060518
Zhou L, Yang H, Hu C. Catalytic Deoxygenation of Lipids for Bio-Jet Fuel: Advances in Catalyst Design and Reaction Pathways. Catalysts. 2025; 15(6):518. https://doi.org/10.3390/catal15060518
Chicago/Turabian StyleZhou, Linyuan, Huiru Yang, and Changwei Hu. 2025. "Catalytic Deoxygenation of Lipids for Bio-Jet Fuel: Advances in Catalyst Design and Reaction Pathways" Catalysts 15, no. 6: 518. https://doi.org/10.3390/catal15060518
APA StyleZhou, L., Yang, H., & Hu, C. (2025). Catalytic Deoxygenation of Lipids for Bio-Jet Fuel: Advances in Catalyst Design and Reaction Pathways. Catalysts, 15(6), 518. https://doi.org/10.3390/catal15060518