PEER-REVIEW ARTICLE PEER-REVIEWED ARTICLE bioresources.cnr.ncsu.edu Gao et al. (2025). “Catalytic deoxygenation biofuels,” BioResources 20(4), 10552-10567. 10552 Preparation of NiW/Ti-USY Catalyst and Its Hydrodeoxygenation Performance in Biomass Oil Mingyuan Gao,a Jin Li,a,* Jiao Jiang,a and Tao Pan b A catalyst (NiW/Ti-USY) was prepared via an impregnation method. Its catalytic performance was investigated for the hydrodeoxygenation (HDO) of Jatropha oil. It was found that the support composition significantly influenced the Lewis acid site concentration, thereby affecting the deoxygenation performance. The catalyst exhibited optimal activity when the Ti loading reached 9 wt%. Furthermore, under the same support conditions, a Ni/W mass ratio of 1:9 and a total NiW loading of 30% resulted in the best catalytic performance, achieving a deoxygenation rate exceeding 90% and a minimum olefin content of 9.64%. GC-MS analysis of the product oil revealed a ratio of (C15 + C17)/(C16 + C18) greater than 10, indicating that the decarbonylation/decarboxylation (DCO/DCO₂) pathway dominated the hydrodeoxygenation process. DOI: 10.15376/biores.20.4.10552-10567 Keywords: Hydrogenation deoxygenation; NiW; Ti-USY; Jatropha oil; Acid sites; Deoxygenation degree; Decarbonylation/decarboxylation ratio Contact information: a: School of Chemistry and Chemical Engineering, Hainan University, Haikou 570228, China; b: Hainan Institute of Industry, Haikou 570100, China; * Corresponding author: 316800681@qq.com INTRODUCTION Against the backdrop of rapid social and industrial development, global demand for fossil fuels continues to grow. However, their excessive use has triggered severe environmental issues, including greenhouse gas emissions and climate change. Therefore, developing and promoting green and sustainable alternative energy sources has become an urgent task. Biomass resources, particularly non-edible oils such as Jatropha oil, have attracted widespread attention in recent years as renewable feedstocks for producing alternative fuels (Zhong et al. 2023). Nevertheless, natural biomass oils contain high levels of fatty acids and suffer from issues such as high oxygen content (>40%), low calorific value (approximately 30 to 40 MJ/kg), high olefin content, and poor chemical stability, which severely limit their direct application (Zhang et al. 2022). Effectively upgrading the quality of biomass oil is key to realizing its high-value utilization (Liu et al. 2023). Catalytic hydrodeoxygenation (HDO) technology is one of the most effective pathways for biomass oil upgrading, with its core lying in the design of high-performance catalysts (Fang et al. 2024). The ultimate goal of this study is to convert Jatropha oil into clean diesel fuel (C15 to C18 alkanes) that meets international standards through the development of an efficient NiW/Ti-USY catalyst system. Unlike biodiesel (FAME) produced via traditional transesterification, this research aims to produce second- generation biodiesel (green diesel), whose chemical composition is identical to petroleum- based diesel. It can be directly used in existing diesel engines without any modifications (Knothe 2022). Utilizing sustainable biomass resources to produce green diesel is of great PEER-REVIEWED ARTICLE bioresources.cnr.ncsu.edu Gao et al. (2025). “Catalytic deoxygenation biofuels,” BioResources 20(4), 10552-10567. 10553 significance for reducing dependence on fossil fuels (Wang and Chen 2024). To achieve this goal, an ideal HDO catalyst must possess excellent deoxygenation activity, high hydrothermal stability, and outstanding anti-coking ability to ensure long catalytic life (Liu and Yang 2023). Although noble metal catalysts (Pt, Pd) exhibit high activity, their high cost hinders large-scale industrial application (Chen and Li 2023). Therefore, developing efficient and stable catalysts based on non-noble metals (e.g., Ni, W, Mo) has become a mainstream research direction (Xu and Cheng 2024). Among non-noble metal catalysts, NiW-based catalysts have attracted significant attention due to their unique hydrodeoxygenation performance and potential synergistic effects (Wang et al. 2023). Studies have shown that bimetallic catalysts demonstrate higher catalytic activity due to the addition of a second metal (Fang et al. 2024). For instance, Ni- Mo/SiO2 catalysts achieved a 93.5% conversion rate and an 89.6% molar yield of C15-C18 alkanes from Jatropha oil (Xu and Cheng 2024). However, catalyst performance heavily depends on the support properties. Zeolite supports (USY) are widely used in HDO reactions due to their excellent cracking and isomerization capabilities. In recent years, researchers have attempted to modify USY by introducing secondary components (Ti, Ce, Er) to adjust its acidity and pore structure, thereby improving metal dispersion, enhancing metal-support interactions, and ultimately boosting HDO performance. Developing novel catalyst support materials is an important research direction for improving HDO efficiency (Li et al. 2024). Despite some progress, existing research still faces several unresolved issues: studies specifically targeting biomass oil HDO are relatively limited; the optimal threshold effect and synergistic mechanism of Ti-modified USY supports remain unclear; and research on catalyst long-term stability, anti-poisoning ability, and regeneration performance is insufficient (García-Mendoza et al. 2023). Particularly, catalyst fouling and deactivation mechanisms during prolonged operation represent a core challenge hindering industrialization (Liu and Yang 2024). In-depth investigation into catalyst deactivation mechanisms is crucial for developing long-lasting and stable industrial catalysts. Based on the current research landscape and technical challenges, the innovation of this study lies in the systematic optimization of Ti modification levels, NiW loading, and metal ratios, leading to the successful development of a high-performance NiW/Ti-USY catalyst system. This system achieves deep deoxygenation while obtaining highly selective C15-C17 alkane products, providing critical technical support for the industrial application of green diesel production from biomass oils. EXPERIMENTAL Materials Ni nitrate [Ni (NO3) 2 6H2O] (98%) was purchased from Xilong Science Co., Ltd. Ammonium metastungstate hydrate (99.5%) and titanium sulfate (96%) were purchased from Shanghai McBiochemical Technology Co., Ltd. The USY catalyst (SiO2/Al2O3: 5.4) was purchased from Nankai District, Tianjin. Nitrogen 99.999% and hydrogen 99.999% were from Haikou Huateng Chemical Gas Co., Ltd. Dichloromethane (99.5%) was purchased from Xilong Science Co., Ltd. PEER-REVIEWED ARTICLE bioresources.cnr.ncsu.edu Gao et al. (2025). “Catalytic deoxygenation biofuels,” BioResources 20(4), 10552-10567. 10554 Synthesis of the Catalyst The Ti-USY supported NiW catalyst was prepared by the following procedure. First, a certain amount of Ti(SO₄)₂ was dissolved in 200 mL of ultrapure water together with 4.0 g of USY zeolite. The mixture was stirred at 80 °C for 2 h, then separated by centrifugation. The solid was collected and dried at 110 °C for 2 h. The resulting powder was further calcined at 500 °C for 3 h with a heating rate of 10 °C/min to obtain the Ti- modified USY support. Subsequently, an aqueous solution was prepared by dissolving Ni(NO₃)₂·6H₂O and (NH₄)₆H₂W₁₂O₄₀·xH₂O in deionized water. Then, 2.0 g of the Ti-USY support was added to this solution, and the mixture was stirred at 80 °C for 6 h. After impregnation, the sample was dried at 105 °C overnight. The dried solid was then calcined at 400 °C for 4 h in a muffle furnace with a heating rate of 10 °C/min. Finally, the catalyst was reduced under H₂ atmosphere at 350 °C for 2 h to obtain the final NiW/Ti-USY catalyst. Catalyst Characterization The catalyst was characterized using multiple techniques under the following conditions: X-ray diffraction (XRD) was performed using a 3 kW source with a scanning range of 5° to 80° at a speed of 10°/min. Scanning electron microscopy (SEM) was conducted at an accelerating voltage of 10 kV. Transmission electron microscopy (TEM) was carried out at 200 kV with a point resolution of 0.14 nm. The specific surface area and pore structure were determined by N₂ physisorption using the Brunauer–Emmett–Teller (BET) method at 473 K. Pyridine-adsorption infrared spectroscopy (Py-IR) measurements involved pre-treating the sample under vacuum at 350 °C for 2 h, followed by pyridine adsorption at room temperature for 30 min. After acquiring the adsorption spectrum, the sample was heated to 150 and 350 °C at a rate of 10 °C/min to obtain total acid and strong acid spectra, respectively. X-ray photoelectron spectroscopy (XPS) was performed using an Al Kα radiation source (1486.8 eV), with a spot size of 50 to 400 µm, an operating voltage of 15 kV, and a current of 10 mA. Data were collected with a step size of 0.05 eV and 1–15 scans per region. Catalytic Hydrodeoxygenation and Product Analysis The experiment was conducted in an intermittent high-pressure reactor, and 10 g of jatropha oil and the right amount of NiW/Ti-USY catalyst were added to the reactor. Hydrogen gas was passed into the reactor after leak detection. After a certain time of the reaction, it was cooled naturally and separated by a centrifuge. Then the liquid product was filtered and sampled using a 0.45 μm organic membrane to extract the product oil. Composition and relative content of the hydrodeoxygenation liquid products were analyzed by gas chromatography–mass spectrometry (GC–MS) using an Agilent 789A/5975C system. The GC was equipped with an HP-5MS capillary column (30 m × 250 μm × 0.25 μm). The injector temperature was set to 503 K with an injection volume of 1.0 μL and a split ratio of 20:1. High-purity helium was used as the carrier gas. The MS conditions were as follows: ion source temperature 523 K; quadrupole temperature 423 K; transfer line temperature 533 K; electron impact ionization energy 70 eV; mass scan range m/z 20 to 450. The solvent delay time was 2 min. Compound identification was performed by comparing mass spectra with the NIST library, and quantitative analysis was carried out using the area normalization method. PEER-REVIEWED ARTICLE bioresources.cnr.ncsu.edu Gao et al. (2025). “Catalytic deoxygenation biofuels,” BioResources 20(4), 10552-10567. 10555 RESULTS AND DISCUSSION Characterization Results of Catalyst XRD analysis Figure 1 shows the XRD of the catalyst with different loads. The XRD curves of b, c, d, e all contained the characteristic diffraction peak of a (USY), indicating that the construction of USY carrier was not significantly changed regardless of the modification of TiO2 or the load of NiW active components. The anatase phase TiO2 diffraction peak (PDF # 21-1272) appeared at a 2θ value of 25.3 (101), 37.9 (004), 48.2 (200), 54.5 (105), 62.7 (204), indicating that TiO2 successfully introduced the surface of the USY carrier. In the XRD diagram of the loaded NiW, no obvious oxide characteristic peaks of Ni and W were found because the loaded metal exhibited high dispersion. Fig. 1. XRD of NiW/Ti-USY: (a) USY, (b) Ti-USY ,(c) 10%NiW/Ti-USY, (d) 20%NiW/Ti-USY, (e) 30%NiW/Ti-USY XPS analysis Figure 2a shows the Ni 2p spectrum of 30% NiW/Ti-USY, where the binding energy of Ni 2p3/2 was observed at 852.7 and 856.6 eV. PEER-REVIEWED ARTICLE bioresources.cnr.ncsu.edu Gao et al. (2025). “Catalytic deoxygenation biofuels,” BioResources 20(4), 10552-10567. 10556 Fig. 2. XPS spectra of 30% NiW/Ti-USY :(a) Ni 2p; (b) W 4f These characteristic peaks were attributed to Ni0 species and Ni2 + species, whereas 862.3 and 880.6 eV were attributed to their satellite peaks (Guo et al. 2018). According to Fig. 2b, the characteristic peak of the binding energy 36 eV/38.2 eV belongs to the W6 + (WO3) species (Xing et al. 2020). W6 + produces oxygen vacancies (Zhang et al. 2019) and promotes CO2 adsorption / activation. Py-IR analysis Figure 3 shows the pyridine infrared spectrum of the carrier and 30% NiW/Ti-USY, wherein the Lewis acid and Brønsted acid can be measured by pyridine adsorption. The characteristic peak at 1445 cm-1 demonstrates the Lewis acid site; the characteristic peak at 1488 cm-1 corresponds to adsorption of Brønsted and Lewis acid sites (Chen et al. 2022); the characteristic peak at 1541 cm-1 demonstrates the Brønsted acid site (Zhang et al. 2021). Table 1 shows the quantitative data table for the acidic sites of USY zeolites at 200 ℃ and 350 ℃. After TiO2 modification, the levels of Lewis acid and Brønsted acid increased. Both Lewis acid and Brønsted acid were significantly decreased after loading 30% of the active fraction of NiW, probably because NiW interacts with the acidic site on the Ti-USY surface, disrupting a certain number of acidic site structures. Table 1. Acidity of Catalyst at 200 °C and 350 °C Catalytic Acid Density at 200 °C(mmol/g) Acid Density at 350 °C (mmol/g) Brønsted acid Lewis acid Brønsted acid Lewis acid USY 0.0781 0.0000 0.0561 0.0000 Ti-USY 0.2066 0.1132 0.1459 0.0693 30%NiW/Ti-USY 0.0138 0.0153 0.0131 0.0089 PEER-REVIEWED ARTICLE bioresources.cnr.ncsu.edu Gao et al. (2025). “Catalytic deoxygenation biofuels,” BioResources 20(4), 10552-10567. 10557 Fig. 3. Py-IR spectra of carrier and 30% NiW/Ti-USY SEM and TEM analysis Figure 4 (a) (c) and TEM Figure 5 (a) (c) show that the catalyst surface after loading the metal active component NiW was relatively smooth, but small metal particles were uniform and displayed no obvious agglomeration. Figure 4 (a) (b) (d) and 5 (a) (b) (d) show that after modification, the surface roughness of the catalyst was significantly increased due to the large particle size of TiO2, and prominent metal particles became evident. Fig. 4. SEM images of (a) USY, (b) Ti-USY, (c) NiW/USY, and (d) NiW/Ti-USY PEER-REVIEWED ARTICLE bioresources.cnr.ncsu.edu Gao et al. (2025). “Catalytic deoxygenation biofuels,” BioResources 20(4), 10552-10567. 10558 Fig. 5. TEM images of (a) USY, (b) Ti-USY, (c) NiW/USY, and (d) NiW/Ti-USY BET analysis Figure 6 shows that all the materials exhibited Type IV isotherms with hysteresis loops, indicating their classification as mesoporous materials. Figure 6f shows the pore size distribution of the five samples, most of which were concentrated around 3 nm, which further shows that all materials were predominantly mesoporous. Fig. 6. N2 adsorption-desorption curves of carriers and catalysts with different NiW loadings, (a) USY,(b) Ti-USY, (c) 10%NiW/Ti-USY, (d) 20%NiW/Ti-USY, (e) 30%NiW/Ti-USY, (f) the distribution of pore size The textural properties of the catalysts are summarized in Table 2. After loading 30 wt% NiW, the USY support exhibited a significant decrease in both specific surface area and pore volume (SBET: 580 → 308 m²/g; VBJH: 0.057 → 0.033 cm³/g), which is mainly attributed to the physical blockage of zeolite channels by metal oxide particles (Hui et al. PEER-REVIEWED ARTICLE bioresources.cnr.ncsu.edu Gao et al. (2025). “Catalytic deoxygenation biofuels,” BioResources 20(4), 10552-10567. 10559 2019). After Ti modification, the Ti-USY sample showed an increase in pore volume (0.078 cm³/g) compared to the original USY (0.057 cm³/g). It is speculated that this increase resulted from the creation of new pores due to etching during modification or the formation of secondary mesopores through the stacking of TiO₂ particles (Zheng et al. 2025). Table 2. Pore Structure Properties of Supports and Catalysts with Different NiW Loadings Catalytic SBET (m²/g) VBJH (cm³/g) DBJH (nm) USY 580 0.057 6.2 30%NiW/USY 308 0.033 6.6 Ti-USY 161 0.078 6.2 10%NiW/Ti-USY 123 0.053 5.6 20%NiW/Ti-USY 104 0.037 5.4 30%NiW/Ti-USY 77 0.023 5.2 However, after further loading the NiW active components onto the Ti-modified support, both the specific surface area and pore volume showed a monotonic decreasing trend (e.g., VBJH decreased from 0.078 cm³/g for Ti-USY to 0.023 cm³/g for 30% NiW/Ti- USY). This indicates that the highly loaded metal particles and Ti species synergistically contribute to pore blockage, collectively occupying the main pore channels of the support and significantly altering the textural properties of the catalyst (Li et al. 2021). Analysis of Hydrodeoxygenation Properties of Catalyst to Bio-oil Comparison of the catalytic effect of the catalyst with or without TiO2 modification Table 3 illustrates the impact of TiO2 modification on the catalytic performance of jatropha oil. Upon examination of Table 3, it becomes evident that the concentration of oxygenated compounds diminished from 11.6% to 8.3%, while the content of alkenes dropped from 15.7% to 9.6%. Conversely, the proportion of straight-chain alkanes rose from 37.8% to 42.3%. This demonstrates that the modified catalyst support exhibited enhanced hydrogenation and deoxygenation performance due to the presence of additional acidic sites. The increase in cycloalkane content to 9.12% suggests an improvement in cyclization performance. The aromatic content in the product oil remained largely unchanged between the two catalysts, suggesting that both modified and unmodified catalysts had robust aromatization properties. This aromatization might be attributed to the promotion of straight-chain alkane aromatization by the NiW metal and USY zeolite present in the catalysts. PEER-REVIEWED ARTICLE bioresources.cnr.ncsu.edu Gao et al. (2025). “Catalytic deoxygenation biofuels,” BioResources 20(4), 10552-10567. 10560 Table 3. Comparison of Catalytic Product Composition between NiW/Ti-USY and NiW/USY Catalytic NiW/Ti-USY NiW/USY Cycloalkane 9.12% 5.43% Cycloalkene 0.74% 0.00% Alkene 9.64% 15.67% Aromatic 26.62% 26.72% straight-chain alkane 42.34% 37.84% Isoalkane 3.22% 2.34% Isomeric olefin 0.00% 0.39% oxygen compound 8.33% 11.61% Note: Reaction conditions: 10 g of jatropha oil, temperature 340 °C, hydrogen pressure 1 MPa, catalyst amount 0.5 g, reaction time 4 h Comparison of the catalytic effects of different TiO2 modification amounts According to Fig. 7 and Table 4, the catalyst performance exhibited a nonlinear variation with increasing Ti modification content. The oxygenate content remained relatively stable as the Ti content increased from 3% to 6% (13.19% → 12.86%), but dropped sharply to 8.33% at 9% Ti. This plateau and subsequent decline originated from the complex interplay among acid sites, metal-support interactions, and mass transfer effects. At moderate Ti loadings (3 to 6%), the newly introduced Lewis acid sites promote C–O bond cleavage, but they also induce side reactions such as coking, leading to the passivation of active sites. Meanwhile, incipient blockage of USY micropores by TiO₂ species hinders reactant diffusion and disrupts the intimacy between metal sites (Ni–W) and acid sites, thereby suppressing the hydrogen spillover effect and stalling deoxygenation efficiency (Wang et al. 2020). A Ti loading of 9% achieved optimal synergy: TiO₂ species provided a suitable number of medium-strength Lewis acid sites that effectively activate C–O bonds, while simultaneously optimizing the anchoring of Ni–W particles, enhancing dispersion and metal-support interaction, and maximizing hydrogen spillover efficiency. This enables immediate hydrogenation of oxygenated intermediates and facilitates the hydrodeoxygenation pathway, as evidenced by the lowest olefin content (9.64%) and the highest selectivity toward linear alkanes (42.34%) (Zhang et al. 2022). At 12% Ti, severe pore blockage (SBET decreased to 52 m²/g) led to significantly hampered mass transfer and a decline in hydrodeoxygenation performance. Simply increasing acid site density is insufficient to ensure high performance; the key lies in achieving an optimal balance of metal-acid synergy (Chen et al. 2021). Based on the more pronounced decrease in oxygenate content compared to olefins, it is concluded that acid sites exert a greater influence on catalytic cracking than on catalytic hydrogenation. PEER-REVIEWED ARTICLE bioresources.cnr.ncsu.edu Gao et al. (2025). “Catalytic deoxygenation biofuels,” BioResources 20(4), 10552-10567. 10561 Fig. 7. Hydrodeoxidation of jatropha oil by 30% NiW/Ti-USY catalysts with different Ti modification amounts. Reaction conditions: 10 g of jatropha oil, temperature 340 °C, hydrogen pressure 1 MPa, catalyst amount 0.5 g, reaction time 4 h Table 4. Pore Structure Properties of Carriers with Different Ti Contents Ti content SBET (m²/g) VBJH (cm³/g) DAVE (nm) 1% 559 0.095 2.4 3% 564 0.108 2.4 6% 589 0.091 2.4 9% 161 0.078 2.9 12% 52 0.047 3.9 Comparison of the catalytic effects with different NiW ratios According to Fig. 8, the content of oxygenated compounds was 15.7% and 12.8% respectively, when the active component consisted entirely of Ni or W. Upon achieving a Ni:W ratio of 5:5, the oxygenated compounds content peaked at 20.34%. When the Ni:W ratio was 1:9, the catalyst demonstrated optimal HDO performance, with the oxygenate content decreasing to 7.7% while the selectivity toward n-alkanes reached 36.9%. This phenomenon stems from the synergistic effect of the Ni–W bimetallic active centers: W species are primarily responsible for the activation and cleavage of C–O bonds, whereas Ni species function as hydrogenation sites that promote the hydrogenation saturation of hydrodeoxygenation intermediates (Zhong et al. 2019). In all cases, the relative concentration of alkenes surpassed 20%, and the catalyst hydrogenation was inadequate, which could be attributed to the reaction's low hydrogen pressure of merely 1 MPa or the insufficient loading of active components at just 10%. The concentration of cycloalkanes exceeded 10%. When the ratio of Ni to W was 1:9, the cycloalkanes achieve a peak concentration of 18.4%, demonstrating that the optimal NiW ratio was conducive to enhancing the cyclization reaction. PEER-REVIEWED ARTICLE bioresources.cnr.ncsu.edu Gao et al. (2025). “Catalytic deoxygenation biofuels,” BioResources 20(4), 10552-10567. 10562 Fig. 8. Hydrodeoxidation of jatropha oil by catalysts with different NiW ratios. Reaction conditions: 10 g of jatropha oil, temperature 340 °C, hydrogen pressure 1 MPa, catalyst amount 0.5 g, reaction time 4 h Comparison of the catalytic effects of bimetal NiW loading capacity According to Fig. 9, the metal loading significantly influenced the product distribution of hydrodeoxygenation (HDO). When the loading increased from 10% to 30%, the selectivity toward linear alkanes continuously improved (from 36.9% to 42.3%), indicating that higher metal loading favors the hydrogenation-dominated pathway. The oxygenate content showed a rebound at 20% loading (12.71%) and decreased to the lowest level at 30% loading (8.3%), demonstrating a notable "threshold effect." This trend is closely related to the balance between active site accessibility and mass transfer limitations. From a reaction mechanism perspective, an adequate amount of NiW active centers (30% loading) provides sufficient bifunctional sites for hydrogenation and deoxygenation. The W⁴⁺/W⁵⁺ redox pairs are responsible for the adsorption and activation of C–O bonds, while the Ni⁰/Ni²⁺ species promote the dissociation of H₂ to generate active hydrogen species, which are subsequently transported to the reaction interface via hydrogen spillover effects (Wang et al. 2020). The high loading ensures close contact between metallic species, forming an efficient hydrogen transfer network. This facilitates the timely hydrogenation of oxygenated intermediates into alkanes, significantly suppressing the desorption of olefin intermediates (olefin content decreased from 25.3% to 9.6%). Taking into account both oxygenate and olefin contents, the NiW/Ti-USY catalyst with 30% loading exhibited the best hydrodeoxygenation performance. PEER-REVIEWED ARTICLE bioresources.cnr.ncsu.edu Gao et al. (2025). “Catalytic deoxygenation biofuels,” BioResources 20(4), 10552-10567. 10563 Fig. 9. Catalytic effect of NiW/Ti-USY with different NiW loading. Reaction conditions: 10 g of jatropha oil, temperature 340 °C, hydrogen pressure 1 MPa, catalyst amount 0.5 g, reaction time 4 h Reaction Mechanism Research The hydrodeoxygenation (HDO) of Jatropha oil over the NiW/Ti-USY catalyst is synergistically catalyzed by metallic sites and acid sites. The reaction proceeds primarily via the decarbonylation/decarboxylation (DCO/DCO₂) pathway, as strongly evidenced by the significantly higher content of C₁₅ and C₁₇ alkanes (30.2%) compared to C₁₆ and C₁₈ alkanes (2%) in Table 5. Meanwhile, the acidity of the catalyst also induces side reactions such as aromatization, cyclization, and isomerization during C–O bond activation, generating considerable amounts of aromatic hydrocarbons (e.g., dodecylbenzene, 7.88%) and naphthenes, thereby reducing the selectivity toward linear alkanes. Optimization of the catalyst structure revealed that 9% Ti modification optimized the Lewis acidity and enhanced metal-support interaction, promoting hydrogen spillover. A 30% NiW loading ensured sufficient active sites while maintaining pore accessibility, and a Ni:W mass ratio of 1:9 achieved optimal synergy between W species (dominant in deoxygenation) and Ni species (dominant in hydrogenation). Thus, the high performance of this catalyst fundamentally stems from a precise balance between metallic and acidic functions at the nanoscale. PEER-REVIEWED ARTICLE bioresources.cnr.ncsu.edu Gao et al. (2025). “Catalytic deoxygenation biofuels,” BioResources 20(4), 10552-10567. 10564 Table 5. Liquid Components of Jatropha curcas Oil Hydrodeoxygenation Catalyzed by NiW/Ti-USY with 30% NiW Loading Molecular Formula Chemical Compound Relative Amount (%) C7H16 3-Methylhexane 1.14 C7H14 Methyl cyclohexane 0.48 C7H12 1-Methylcyclohexene 0.74 C7H8 Methyl benzene 1.59 C8H18 3-Ethylhexane 2.08 C8H10 Ethylbenzene 1.02 C8H10 O-xylene 1.30 C9H20 Nonane 1.63 C9H12 N-propylene 0.60 C9H12 2-Ethyltoluene 0.45 C10H20 5-Decane 0.22 C9H12 1,2,4-Trimethylbenzene 0.23 C10H22 Decane 1.44 C10H12 1-Methylindane 0.49 C11H24 Undecane 1.66 C10H12 2,3-Dihydro-5-methyl-1H indene 2.22 C11H16 Amylbenzene 0.55 C10H12 1,2,3,4-Tetrahydro-naphthalene 0.39 C8H16O2 Octoic acid 0.26 C12H26 Dodecane 2.33 C12H18 1-Phenylhexane 0.71 C11H14 2,3-Dihydro-4,7-dimethyl-1H indene 0.36 C11H14 6-Methyltetrahydronaphthalene 0.51 C13H28 Tridecane 2.03 C12H16 5-Ethyltetrahydronaphthalene 0.51 C14H30 Tetradecane 1.05 C15H30 Cyclopentadecane 8.64 C15H32 Pentadecane 14.40 C16H32 Hexadecane 2.00 C17H34 Heptadecene 9.42 C17H36 Heptadecane 15.79 C18H38O 1-Octadecyl alcohol 1.54 C18H30 Dodecylbenzene 7.88 C18H28 1-Octyltetrahydronaphthalene 4.10 C16H32O2 N-Hexadecanoic acid 2.15 C18H28 1-Heptyl-4-methyl-tetrahydronaphthalene 3.71 C18H30O Dodecylphenol 4.38 Future Perspectives Future work should prioritize the evaluation of the catalyst's potential for practical applications, focusing on its durability, poisoning mechanisms, and regenerability. In- depth studies should investigate its deactivation behavior during extended operation, specifically examining the coke deposition rate, location of carbon accumulation, and the extent of metal sintering. Additionally, it is essential to assess the poisoning effects of common sulfur-, nitrogen-, and phosphorus-containing impurities in feedstock oils on both acidic and metallic sites, and to determine the catalyst’s poison tolerance. Developing efficient regeneration strategies—such as controlled calcination to remove coke, replenishment of active metals, or secondary modification to restore deactivated acid sites—is critical to evaluating the catalyst’s performance recoverability and cycling stability. PEER-REVIEWED ARTICLE bioresources.cnr.ncsu.edu Gao et al. (2025). “Catalytic deoxygenation biofuels,” BioResources 20(4), 10552-10567. 10565 CONCLUSIONS This study successfully elucidated the structure-activity relationship of the NiW/Ti- USY catalyst in the hydrodeoxygenation (HDO) of jatropha oil through systematic modulation of Ti modification and NiW active phase parameters. The results demonstrated that a Ti mass fraction of 9% represents the optimal threshold for achieving the best performance. At this level, the catalyst maintains a suitable pore structure (SBET = 161 m ²/g) while forming an optimized distribution of Lewis acid sites and enhanced metal- support interactions. A Ni/W mass ratio of 1:9 exhibited a significant synergistic effect, wherein W species primarily facilitate C–O bond cleavage, while Ni species promote hydrogenation and hydrogen spillover. A total metal loading of 30% achieved an optimal balance between the quantity and quality of active sites. Under optimal catalyst conditions, the reaction predominantly proceeded via the decarbonylation/decarboxylation pathway, generating C₁₅ and C₁₇ alkanes as the main products. The oxygenate content was reduced to 8.33%, and linear alkane selectivity reached 42.3%. However, the olefin content remained at 9.64%. Overall, the influence of acid sites outweighed that of metal sites in governing the catalytic behavior. ACKNOWLEDGMENTS This work was supported by the Projects of Technical Innovation of Hainan Scientific Research Institutes (KYYSGY2023-002) and the Hainan Province’s Key Research and Development Project (ZDYF2024GXJS314). REFERENCES CITED Chen, B., Rao, R., Cao, M., He, C., Qian, Y., Qiu, X., and Ouyang, X. (2022). “Mild hydrodeoxygenation of lignin-derived bio-oils to hydrocarbons over bifunctional ZrP2O7-Ni12P5 catalysts,” Fuel 313(5997). DOI: 10.1016/j.fuel.2021.123044 Chen, X., and Li, M. 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