金红石纳米棒{110}晶面缺陷调控的Pt-WOx催化剂甘油氢解制1,3-丙二醇性能研究

doi:10.1016/S1872-2067(25)64877-7

催化学报 ›› 2026, Vol. 82: 312-326.DOI: 10.1016/S1872-2067(25)64877-7

金红石纳米棒{110}晶面缺陷调控的Pt-WO_x催化剂甘油氢解制1,3-丙二醇性能研究

姜兰^a, 曾杨^a, 陈建华^a, 谢颂海^a, 裴燕^a, 华伟明^a, 闫世润^a, 陈雪莹^a, 乔明华^a^,^*(), 宗保宁^b^,^*()

^a复旦大学化学系, 上海分子催化与创新材料重点实验室, 多孔材料与分离转化全国重点实验室, 上海 200438
^b中国石油化工股份有限公司石油化工科学研究院, 石油化工分子转化与反应工程全国重点实验室, 北京 100083

收稿日期:2025-07-22 接受日期:2025-09-02 出版日期:2026-03-18 发布日期:2026-03-05
通讯作者: * 电子信箱: mhqiao@fudan.edu.cn (乔明华),zongbn.ripp@sinopec.com (宗保宁).
基金资助:
国家自然科学基金(22272030);上海市科学技术委员会(2024ZDSYS02)

Crystal plane engineering of rutile TiO₂ nanorods: Boosting Pt-WO_x catalyzed glycerol hydrogenolysis to 1,3-propanediol via {110} plane-associated defects

Lan Jiang^a, Yang Zeng^a, Jianhua Chen^a, Songhai Xie^a, Yan Pei^a, Weiming Hua^a, Shirun Yan^a, Xueying Chen^a, Minghua Qiao^a^,^*(), Baoning Zong^b^,^*()

^aState Key Laboratory of Porous Materials for Separation and Conversion, Department of Chemistry and Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials, Fudan University, Shanghai 200438, China
^bState Key Laboratory of Petroleum Molecular & Process Engineering, Research Institute of Petroleum Processing, SINOPEC, Beijing 100083, China

Received:2025-07-22 Accepted:2025-09-02 Online:2026-03-18 Published:2026-03-05
Contact: * E-mail: mhqiao@fudan.edu.cn (M. Qiao),zongbn.ripp@sinopec.com (B. Zong).
Supported by:
National Natural Science Foundation of China(22272030);Science and Technology Commission of Shanghai Municipality(2024ZDSYS02)

摘要/Abstract

摘要：

在非均相催化领域, 晶面工程是优化催化剂性能的有效策略, 其核心在于不同晶面具有独特的原子排列、配位环境和表面能, 从而影响活性组分的分散、反应物的吸附与活化. 然而, 关于载体晶面对甘油选择性氢解制1,3-丙二醇(1,3-PDO)的影响研究却极为匮乏. 本研究聚焦于金红石相二氧化钛的晶面效应, 通过调控其暴露晶面比例, 旨在提升Pt-WO_x催化剂在甘油氢解反应中的性能.

本文采用水热法合成了棱柱状金红石TiO₂纳米棒(RTNR-T), 其四个侧面为{110}晶面, 两个锥形端面为{111}晶面. 通过调控水热温度(433-493 K), 实现了对{110}与{111}晶面暴露比例的可控制备. 研究结果表明, {110}晶面的暴露比例随水热温度变化呈现“火山型”关系, 在453 K时达到最大值. 进一步的电子顺磁共振和X射线光电子能谱分析表明, {110}晶面暴露比例越高, 材料表面的氧空位(O_v)和Ti³⁺缺陷浓度也越高, 证实{110}晶面相较于{111}晶面更易形成表面缺陷. 随后, 采用两步浸渍法制备了Pt-WO_x/RTNR-T系列催化剂. 表征结果表明, 在本研究体系中, Pt和WO_x的分散度、Pt的金属表面积以及催化剂的表面酸量(包括Lewis酸和Brönsted酸)均与{110}晶面的暴露比例呈正相关. 这归因于高缺陷密度的{110}晶面能够为Pt纳米粒子提供更多的锚定位点, 促进其高度分散, 同时, 该晶面的缺陷结构可增强WO_x与载体的相互作用, 有利于酸性位点的形成. CO化学吸附和透射电镜结果表明, Pt-WO_x/RTNR-453催化剂上的Pt颗粒尺寸最小, 分散度最高. 在甘油氢解反应中, Pt-WOx/RTNR-T催化剂性能与{110}晶面暴露比例的变化趋势高度一致. Pt-WO_x/RTNR-453催化剂表现出最优的催化性能, 甘油转化率达96.7%, 1,3-PDO选择性达60.6%, 1,3-PDO收率高达58.6%, 不仅超过了文献已报道的Pt-WO_x/TiO₂催化剂, 而且具有优秀的循环稳定性. 通过对比不同钨源和浸渍顺序制备的催化剂性能, 证实了在本研究的反应条件下, 以偏钨酸铵为前驱体、采用先W后Pt的浸渍顺序为最优方案. 密度泛函理论计算进一步揭示了作用机制. 表面缺陷的存在显著降低了H₂分子的解离和H原子的扩散能垒, 极大地促进了氢溢流效应. 溢流的氢原子可迁移至WO_x物种表面, 原位生成催化所必需的Brönsted酸位点, 用于活化甘油分子形成氧鎓离子中间体, 并加速其加氢生成1,3-PDO. 因此, 与{110}晶面相关联的高密度缺陷在促进H₂活化、增强金属-载体相互作用、调控催化剂表面酸性和实现高效氢溢流方面发挥了关键的协同作用.

综上, 本文建立了“晶面-缺陷-活性”之间的明确关联, 为设计高效甘油氢解制1,3-PDO催化剂提供了坚实的理论基础和设计原则. 通过晶面工程精准调控金红石TiO₂载体表面缺陷, 可有效优化贵金属Pt催化剂的分散性、电子结构和表面酸性, 从而实现催化性能的显著提升.

关键词: 金红石, 晶面, 表面缺陷, 甘油, 1,3-丙二醇

Abstract:

Crystal plane engineering is a powerful tool to optimize catalytic efficiency in heterogeneous catalysis. However, there is a surprising dearth in the exploration of the support plane effect on glycerol hydrogenolysis to 1,3-propanediol (1,3-PDO). In this work, we synthesized prism-shaped rutile TiO₂ nanorods (RTNR-T) with tunable {110}/{111} exposure ratios by varying the hydrothermal temperature. The proportion of the {110} planes is identified to exhibit a volcano-like relationship with the hydrothermal temperature. The concentrations of oxygen vacancies and Ti³⁺ sites on both the RTNR-T nanorods and Pt-WO_x/RTNR-T catalysts are positively correlated with the proportion of the {110} planes. Coherently, the Pt dispersion and surface acidity on the catalysts are parallel to the proportion of the {110} planes, attributable to the high defect density that facilitates the anchorage of Pt and promotes WO_x-support interaction. In glycerol hydrogenolysis, the Pt-WO_x/RTNR-453 catalyst with the highest proportion of the {110} planes displayed the best catalytic performance, with glycerol conversion and 1,3-PDO selectivity of 96.7% and 60.6%, respectively, affording an outstanding 1,3-PDO yield of 58.6% and excellent recyclability. Density functional theory calculations demonstrated that the presence of defects markedly reduced the dissociation and diffusion barriers, which greatly boosts hydrogen spillover to WO_x for in-situ Brönsted acid site generation and oxocarbenium intermediate hydrogenation. This work offers a robust design principle based on the crystal plane-defect-activity correlation for high-performance glycerol hydrogenolysis catalysts.

Key words: Rutile TiO₂, Crystal plane, Surface defect, Glycerol, 1,3-Propanediol

姜兰, 曾杨, 陈建华, 谢颂海, 裴燕, 华伟明, 闫世润, 陈雪莹, 乔明华, 宗保宁. 金红石纳米棒{110}晶面缺陷调控的Pt-WO_x催化剂甘油氢解制1,3-丙二醇性能研究[J]. 催化学报, 2026, 82: 312-326.

Lan Jiang, Yang Zeng, Jianhua Chen, Songhai Xie, Yan Pei, Weiming Hua, Shirun Yan, Xueying Chen, Minghua Qiao, Baoning Zong. Crystal plane engineering of rutile TiO₂ nanorods: Boosting Pt-WO_x catalyzed glycerol hydrogenolysis to 1,3-propanediol via {110} plane-associated defects[J]. Chinese Journal of Catalysis, 2026, 82: 312-326.

×
扫码分享

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://www.cjcatal.com/CN/10.1016/S1872-2067(25)64877-7

https://www.cjcatal.com/CN/Y2026/V82/I3/312

图/表 13

Fig. 1. XRD patterns (A) and Raman spectra (B) of the RTNR-433 (a), RTNR-453 (b), RTNR-473 (c), and RTNR-493 (d) nanorods.

Fig. 2. TEM images of the RTNR-433 (a), RTNR-453 (c), RTNR-473 (e), and RTNR-493 (g) nanorods. The inset in (c) is a schematic model of an individual nanorod of RTNR-453. HRTEM images with FFT patterns of the RTNR-433 (b), RTNR-453 (d), RTNR-473 (f), and RTNR-493 (h) nanorods.

Fig. 3. (A) EPR spectra of the RTNR-433 (a), RTNR-453 (b), RTNR-473 (c), and RTNR-493 (d) nanorods. (B) EPR spectra of the Pt-WOx/RTNR-433 (a), Pt-WOx/RTNR-453 (b), Pt-WOx/RTNR-473 (c), and Pt-WOx/RTNR-493 (d) catalysts.

Table 1 Basic physicochemical properties of the Pt?WOx/RTNR-T catalysts.

Catalyst	Pt ^a (wt%)	W ^a (wt%)	A_BET^b (m² g⁻¹)	d_pore^b (nm)	V_pore^b (cm³ g⁻¹)	D_Pt^c (%)	S_Pt^c (m² g_Pt⁻¹)	d_Pt (nm)		n_L^e (μmol g_cat⁻¹)	n_B^e (μmol g_cat⁻¹)
Catalyst	Pt ^a (wt%)	W ^a (wt%)	A_BET^b (m² g⁻¹)	d_pore^b (nm)	V_pore^b (cm³ g⁻¹)	D_Pt^c (%)	S_Pt^c (m² g_Pt⁻¹)	CO ^c	TEM^d	n_L^e (μmol g_cat⁻¹)	n_B^e (μmol g_cat⁻¹)
Pt-WO_x/RTNR-433	3.0	7.0	12	15.7	0.04	23	56	5.0	1.6	10	1
Pt-WO_x/RTNR-453	2.9	7.2	14	16.5	0.05	35	87	3.2	1.4	38	4
Pt-WO_x/RTNR-473	2.9	7.1	17	14.6	0.06	26	64	4.4	1.6	22	3
Pt-WO_x/RTNR-493	2.8	7.0	20	15.2	0.08	22	54	5.2	2.0	9	1

Fig. 4. TEM images (a1?d1), TEM images with particle size distribution histograms of Pt NPs with Gaussian analysis fittings (a2?d2), and HRTEM images with FFT patterns (a3?d3). (a1?a3) Pt-WOx/RTNR-433; (b1?b3) Pt-WOx/RTNR-453; (c1?c3) Pt-WOx/RTNR-473; (d1?d3) Pt-WOx/RTNR-493.

Fig. 5. Ti 2p (A), O 1s (B), Pt 4f/W 5s (C), and W 4f/Ti 3p (D) spectra of the Pt-WOx/RTNR-433 (a), Pt-WOx/RTNR-453 (b), Pt-WOx/RTNR-473 (c), and Pt-WOx/RTNR-493 (d) catalysts.

Table 2 The XPS fitting results and EPR results of the Pt?WOx/RTNR-T catalysts.

Catalyst	Pt²⁺/(Pt⁰ + Pt²⁺) intensity ratio	W⁵⁺/(W⁵⁺ + W⁶⁺) intensity ratio	Ti³⁺/Ti⁴⁺ intensity ratio	O_v/O_L intensity ratio	Pt/Ti (at%)	W/Ti (at%)	O_v^b (spins g⁻¹)	Ti^{3+ b} (spins g⁻¹)
Pt-WO_x/RTNR-433	0.26	0.14	0.20(16.7%) ^a	0.09	0.13	0.22	11.5 × 10²⁰	17.1 × 10¹⁸
Pt-WO_x/RTNR-453	0.39	0.15	0.43(30.1%)	0.17	0.13	0.21	17.6 × 10²⁰	58.7 × 10¹⁸
Pt-WO_x/RTNR-473	0.36	0.15	0.24(19.4%)	0.11	0.11	0.23	13.1 × 10²⁰	32.6 × 10¹⁸
Pt-WO_x/RTNR-493	0.14	0.15	0.14(12.3%)	0.05	0.13	0.21	7.54 × 10²⁰	8.55 × 10¹⁸

Fig. 6. Raman spectra (A), UV-vis spectra (B), and Py-IR spectra (C) of the Pt-WOx/RTNR-433 (a), Pt-WOx/RTNR-453 (b), Pt-WOx/RTNR-473 (c), and Pt-WOx/RTNR-493 (d) catalysts. The Py-IR spectra are collected at 423 K. (D) The quantities of Br?nsted and Lewis acid sites and their total quantities on the Pt-WOx/RTNR-T catalysts.

Table 3 The catalytic results of the Pt-WOx/RTNR-T catalysts in the hydrogenolysis of glycerol.a

Catalyst	Conv. (%)	Sel. (%)					Yield_1,3-PDO (%)	TOF ^c (h⁻¹)
Catalyst	Conv. (%)	1,3-PDO	1,2-PDO	1-PrOH	2-PrOH	Others ^b	Yield_1,3-PDO (%)	TOF ^c (h⁻¹)
Pt-WO_x/RTNR-433	59.5	41.3	0.7	52.3	5.5	trace	24.3	71
Pt-WO_x/RTNR-453	96.7	60.6	0.6	34.8	4.0	trace	58.6	109
Pt-WO_x/RTNR-473	75.6	46.0	0.7	44.3	8.9	trace	35.2	84
Pt-WO_x/RTNR-493	64.2	35.5	0.7	57.5	6.1	trace	22.8	52
WO_x/RTNR-453	—	—	—	—	—	—	—	—
Pt/RTNR-453	0.4	51.0	3.5	20.2	20.1	5.3	0.2	—

Fig. 7. Comparisons of the 1,3-PDO yield over the Pt?WOx/RTNR-453 catalyst with those over the literature TiO2-supported catalysts for glycerol hydrogenolysis (a) and the stability of the Pt?WOx/RTNR-453 catalyst with those of the literature TiO2-supported catalysts for glycerol hydrogenolysis with their stability being reported (b).

Fig. 8. Correlations of the {110}/{111} exposure ratio with the surface defect ratio determined by XPS and the amounts of Ti3+ and Ov quantified by EPR (a), Pt particle size and the amount of acid sites (b), and TOF and selectivity to 1,3-PDO (c).

Fig. 9. (a) Calculated energy profiles for H2 dissociation on Pt-WOx/rutile (110)-Ov and Pt-WOx/rutile (110) surfaces. (b,c) IS, TS, and FS for H2 dissociation on Pt-WOx/rutile (110)-Ov surfaces. (d,e) IS, TS, and FS for H2 dissociation on Pt-WOx/rutile (110) surfaces. IS, TS, and FS represent the initial state, transition state, and final state. Light blue, red, gray, brown, and off-white spheres represent Ti, O, Pt, W, and H, respectively.

Fig. 10. (a) Calculated energy profiles for hydrogen diffusion on Pt-WOx/rutile (110)-Ov and Pt-WOx/rutile (110) surfaces. (b,c) IS, TS, and FS for hydrogen diffusion on Pt-WOx/rutile (110)-Ov surfaces. (d,e) IS, TS, and FS for hydrogen diffusion on Pt-WOx/rutile (110) surfaces. IS, TS, and FS represent the initial state, transition state, and final state. Light blue, red, gray, brown, and off-white spheres represent Ti, O, Pt, W, and H, respectively.

参考文献

[1]	J. B. Zimmerman, P. T. Anastas, H. C. Erythropel, W. Leitner, Science, 2020, 367, 397-400.
[2]	X. Luo, Y. Li, N. K. Gupta, B. Sels, J. Ralph, L. Shuai, Angew. Chem. Int. Ed., 2020, 59, 11704-11716.
[3]	K. Lee, Y. Jing, Y. Wang, N. Yan, Nat. Rev. Chem., 2022, 6, 635-652.
[4]	A. M. Ruppert, K. Weinberg, R. Palkovits, Angew. Chem. Int. Ed., 2012, 51, 2564-2601.
[5]	S. Bhowmik, S. Darbha, Catal. Rev., 2021, 63, 639-703.
[6]	R. Si, M. Flytzani-Stephanopoulos, Angew. Chem. Int. Ed., 2008, 47, 2884-2887.
[7]	Q. Chai, C. Li, L. Song, C. Liu, T. Peng, C. Lin, Y. Zhang, S. Li, Q. Guo, S. Sun, H. Dai, X. Zheng, J. Hazard. Mater., 2024, 475, 134917.
[8]	Y. Xiao, M. Wang, D. Liu, J. Gao, J. Ding, H. Wang, H.-B. Yang, F. Li, M. Chen, Y. Xu, D. Xu, Y.-X. Zhang, S. Fang, X. Ao, J. Wang, C. Su, B. Liu, Angew. Chem. Int. Ed., 2024, 63, e202319685.
[9]	J. Hu, Y. Fan, Y. Pei, M. Qiao, K. Fan, X. Zhang, B. Zong, ACS Catal., 2013, 3, 2280-2287.
[10]	J. Wan, W. Chen, C. Jia, L. Zheng, J. Dong, X. Zheng, Y. Wang, W. Yan, C. Chen, Q. Peng, D. Wang, Y. Li, Adv. Mater., 2018, 30, 1705369.
[11]	W. Cheng, Y. Liu, X. Yang, S. Yan, G. Huang, H. Zhang, Z. Tang, H. Zhou, Small, 2024, 20, 2312210.
[12]	Y. Li, K.-A. Min, B. Han, L. Y. S. Lee, Appl. Catal. B, 2021, 282, 119548.
[13]	C. Li, B. Tang, A. T. Ogunbiyi, S. Tang, W. Li, Q. Lu, L. Yuan, Mol. Catal., 2022, 528, 112475.
[14]	T. Kurosaka, H. Maruyama, I. Naribayashi, Y. Sasaki, Catal. Commun., 2008, 9, 1360-1363.
[15]	L. Gong, Y. Lu, Y. Ding, R. Lin, J. Li, W. Dong, T. Wang, W. Chen, Appl. Catal. A, 2010, 390, 119-126.
[16]	Y. Fan, S. Cheng, H. Wang, J. Tian, S. Xie, Y. Pei, M. Qiao, B. Zong, Appl. Catal. B, 2017, 217, 331-341.
[17]	M. Gu, Z. Shen, L. Yang, B. Peng, W. Dong, W. Zhang, Y. Zhang, Ind. Eng. Chem. Res., 2017, 56, 13572-13581.
[18]	S. Zhu, X. Gao, Y. Zhu, Y. Li, J. Mol. Catal. A, 2015, 398, 391-398.
[19]	R. Arundhathi, T. Mizugaki, T. Mitsudome, K. Jitsukawa, K. Kaneda, ChemSusChem, 2013, 6, 1345-1347.
[20]	S. S. Priya, V. P. Kumar, M. L. Kantam, S. K. Bhargava, A. Srikanth, K. V. R. Chary, Ind. Eng. Chem. Res., 2015, 54, 9104-9115.
[21]	Y. Fan, S. Cheng, H. Wang, D. Ye, S. Xie, Y. Pei, H. Hu, W. Hua, Z.-H. Li, M. Qiao, B. Zong, Green Chem., 2017, 19, 2174-2183.
[22]	S. Cheng, Y. Fan, X. Zhang, Y. Zeng, S. Xie, Y. Pei, G. Zeng, M. Qiao, B. Zong, Appl. Catal. B, 2021, 297, 120428.
[23]	Y. Li, J. Zhang, H. Meng, D. Lin, F.-S. Xiao, Appl. Catal. B, 2025, 360, 124524.
[24]	Y. Zeng, L. Jiang, X. Zhang, S. Xie, Y. Pei, G. Zhou, W. Hua, M. Qiao, Z.-H. Li, B. Zong, ACS Sustainable Chem. Eng., 2022, 10, 9532-9545.
[25]	B. Zhao, J. Zou, B. Yao, A. Wade, L. Liu, J. Dong, Q. He, Appl. Catal. B, 2025, 377, 125464.
[26]	B. Fu, Z. Wu, K. Guo, L. Piao, Nanoscale, 2021, 13, 8591-8599.
[27]	C. A. Emeis, J. Catal., 1993, 141, 347-354.
[28]	J. Zhang, M. Li, Z. Feng, J. Chen, C. Li, J. Phys. Chem. B, 2006, 110, 927-935.
[29]	K. A. Stoerzinger, R. R. Rao, X. R. Wang, W. T. Hong, C. M. Rouleau, Y. Shao-Horn, Chem, 2017, 2, 668-675.
[30]	A. Naldoni, M. Altomare, G. Zoppellaro, N. Liu, Š. Kment, R. Zbořil, P. Schmuki, ACS Catal., 2019, 9, 345-364.
[31]	X. Yu, B. Kim, Y. K. Kim, ACS Catal., 2013, 3, 2479-2486.
[32]	R. F. Howe, M. Gratzel, J. Phys. Chem., 1987, 91, 3906-3909.
[33]	L. Zeng, W. Song, M. Li, D. Zeng, C. Xie, Appl. Catal. B, 2014, 147, 490-498.
[34]	N. Lei, Z. Miao, F. Liu, H. Wang, X. Pan, A. Wang, T. Zhang, Chin. J. Catal., 2020, 41, 1261-1267.
[35]	S. Zhu, X. Gao, Y. Zhu, J. Cui, H. Zheng, Y. Li, Appl. Catal. B, 2014, 158-159, 391-399.
[36]	S.-M. Wu, X.-L. Liu, X.-L. Lian, G. Tian, C. Janiak, Y.-X. Zhang, Y. Lu, H.-Z. Yu, J. Hu, H. Wei, H. Zhao, G.-G. Chang, G. Van Tendeloo, L.-Y. Wang, X.-Y. Yang, B.-L. Su, Adv. Mater., 2018, 30, 1802173.
[37]	X. Zhang, L. Luo, R. Yun, M. Pu, B. Zhang, X. Xiang, ACS Sustainable Chem. Eng., 2019, 7, 13856-13864.
[38]	Y. Nie, S. Shang, X. Xu, W. Hua, Y. Yue, Z. Gao, Appl. Catal. A, 2012, 433-434, 69-74.
[39]	Y. Nagai, T. Hirabayashi, K. Dohmae, N. Takagi, T. Minami, H. Shinjoh, S. Matsumoto, J. Catal., 2006, 242, 103-109.
[40]	Y. Zhang, X.-C. Zhao, Y. Wang, L. Zhou, J. Zhang, J. Wang, A. Wang, T. Zhang, J. Mater. Chem. A, 2013, 1, 3724.
[41]	T. Baba, Y. Hasada, M. Nomura, Y.-I. Ohno, Y. Ono, J. Mol. Catal. A, 1996, 114, 247-255.
[42]	C. P. Kumar, N. O. Gopal, T. C. Wang, M.-S. Wong, S. C. Ke, J. Phys. Chem. B, 2006, 110, 5223-5229.
[43]	D. S. Kim, M. Ostromecki, I. E. Wachs, J. Mol. Catal. A, 1996, 106, 93-102.
[44]	M. N. Taylor, W. Zhou, T. Garcia, B. Solsona, A. F. Carley, C. J. Kiely, S. H. Taylor, J. Catal., 2012, 285, 103-114.
[45]	L. Hou, Z. Guan, M. Zhang, C. He, Q. Li, J. Yang, Catal. Sci. Technol., 2018, 8, 2809-2817.
[46]	E. Briot, J.-Y. Piquemal, M. Vennat, J.-M. Brégeault, G. Chottard, J.-M. Manoli, J. Mater. Chem., 2000, 10, 953-958.
[47]	E. I. Ross-Medgaarden, I. E. Wachs, J. Phys. Chem. C, 2007, 111, 15089-15099.
[48]	P. A. Jacobs, C. F. Heylen, J. Catal., 1974, 34, 267-274.
[49]	Z. Luo, Z. Zhu, R. Xiao, D. Chu, Chem. Asian J., 2023, 18, e202201046.
[50]	Y. Chen, Y. Zeng, C.-T. Hung, Z. Zhang, Z. Lv, S. Huang, Y. Yang, Y. Liu, W. Li, Nano Res., 2023, 16, 9081-9090.
[51]	Y. Wang, Z. Zhou, C. Wang, L. Zhao, Q. Xia, Front. Chem., 2022, 10, 1004925.
[52]	Z. Zhou, H. Jia, Y. Guo, Y. Wang, X. Liu, Q. Xia, X. Li, Y. Wang, ChemCatChem, 2021, 13, 3953-3959.
[53]	L. Liu, T. Asano, Y. Nakagawa, M. Tamura, K. Okumura, K. Tomishige, ACS Catal., 2019, 9, 10913-10930.
[54]	Z. Xi, Z. Hong, F. Huang, Z. Zhu, W. Jia, J. Li, Catalysts, 2020, 10, 312.
[55]	D. Li, Z. Zhou, J. Qin, Y. Li, Z. Liu, W. Wu, ChemistrySelect, 2018, 3, 2479-2486.
[56]	J. Ten Dam, K. Djanashvili, F. Kapteijn, U. Hanefeld, ChemCatChem, 2013, 5, 497-505.
[57]	Y. Zeng, L. Jiang, X. Zhang, S. Xie, Y. Pei, M. Qiao, Z.-H. Li, H. Xu, K. Fan, B. Zong, Acta Chim. Sin., 2022, 80, 903.
[58]	T. Numpilai, C. K. Cheng, A. Seubsai, K. Faungnawakij, J. Limtrakul, T. Witoon, Environ. Pollut., 2021, 272, 116029.
[59]	E. Lira, S. Wendt, P. Huo, J. Ø. Hansen, R. Streber, S. Porsgaard, Y. Wei, R. Bechstein, E,. Lægsgaard, F. Besenbacher, J. Am. Chem. Soc., 2011, 133, 6529-6532.
[60]	Y. Wang, T. Sun, X. Liu, H. Zhang, P. Liu, H. Yang, X. Yao, H. Zhao, Phys. Rev. B, 2014, 90, 045304.
[61]	Z. Lai, F. Peng, H. Wang, H. Yu, S. Zhang, H. Zhao, J. Mater. Chem. A, 2013, 1, 4182-4185.
[62]	K. Kakiuchi, E. Hosono, H. Imai, T. Kimura, S. Fujihara, J. Cryst. Growth, 2006, 293, 541-545.
[63]	V. R. Djokić, A. D. Marinković, R. D. Petrović, O. Ersen, S. Zafeiratos, M. Mitrić, C. Ophus, V. R. Radmilović, D. T. Janaćković, ACS Appl. Mater. Interfaces, 2020, 12, 33058-33068.
[64]	P. W. Murray, N. G. Condon, G. Thornton, Phys. Rev. B, 1995, 51, 10989-10997.
[65]	R. Schaub, E,. Wahlström, A. Rønnau, E,. Lægsgaard, I. Stensgaard, F. Besenbacher, Science, 2003, 299, 377-379.
[66]	E. Bae, T. Ohno, Appl. Catal. B, 2009, 91, 634-639.
[67]	Y. Wang, G. S. Hwang, Surf. Sci., 2003, 542, 72-80.
[68]	D. Çakır, O. Gülseren, J. Phys. Chem. C, 2012, 116, 5735-5746.
[69]	S. Zhu, X. Gao, Y. Zhu, Y. Zhu, X. Xiang, C. Hu, Y. Li, Appl. Catal. B, 2013, 140-141, 60-67.
[70]	J. J. Varghese, L. Cao, C. Robertson, Y. Yang, L. F. Gladden, A. A. Lapkin, S. H. Mushrif, ACS Catal., 2019, 9, 485-503.
[71]	H. Li, Y. Wang, C. Zhang, Z. Huang, J. Han, X. Nie, F. Wang, Appl. Catal. B, 2023, 325, 122342.
[72]	N. Lei, X. Zhao, B. Hou, M. Yang, M. Zhou, F. Liu, A. Wang, T. Zhang, ChemCatChem, 2019, 11, 3903-3912.
[73]	T. Shishido, H. Hattori, J. Catal., 1996, 161, 194-197.
[74]	H. Xu, M. Sun, S. Liu, Y. Li, J. Wang, Y. Chen, RSC Adv., 2017, 7, 24177-24187.
[75]	A. Rajan, J. J. Varghese, J. Catal., 2023, 423, 94-104.
[76]	S. K. Ignatov, A. I. Okhapkin, O. B. Gadzhiev, A. G. Razuvaev, S. Kunz, M. Bäumer, J. Phys. Chem. C, 2016, 120, 18570-18587.
[77]	Z.-W. Wei, H.-J. Wang, C. Zhang, K. Xu, X.-L. Lu, T.-B. Lu, Angew. Chem. Int. Ed., 2021, 60, 16622-16627.
[78]	L. Xie, J. Liang, L. Jiang, W. Huang, Chem. Sci., 2025, 16, 3408-3429.
[79]	C. Mao, J. Wang, Y. Zou, G. Qi, J. Y. Yang Loh, T. Zhang, M. Xia, J. Xu, F. Deng, M. Ghoussoub, N. P. Kherani, L. Wang, H. Shang, M. Li, J. Li, X. Liu, Z. Ai, G. A. Ozin, J. Zhao, L. Zhang, J. Am. Chem. Soc., 2020, 142, 17403-17412.
[80]	S. García-Fernández, I. Gandarias, J. Requies, F. Soulimani, P. L. Arias, B. M. Weckhuysen, Appl. Catal. B, 2017, 204, 260-272.

金红石纳米棒{110}晶面缺陷调控的Pt-WO_x催化剂甘油氢解制1,3-丙二醇性能研究

Crystal plane engineering of rutile TiO₂ nanorods: Boosting Pt-WO_x catalyzed glycerol hydrogenolysis to 1,3-propanediol via {110} plane-associated defects

RichHTML

PDF

Supporting Information

可视化

摘要/Abstract

引用本文

使用本文

扫码分享

图/表 13

参考文献

相关文章 15

编辑推荐

Metrics

[1]	高杰, 刘静, 王梦迪, 孙诺, 胡皓, 崔学晶, 周新, 姜鲁华. 构建锐钛矿-金红石TiO₂异质结构调控竞争吸附以缓解Ru在碱性氢氧化反应中的羟基毒化效应[J]. 催化学报, 2026, 82(3): 74-83.
[2]	张王刚, 谢昊辰, 王虹亮, 田入峰, 刘雷, 王剑, 刘一鸣. 原子级晶格匹配的六方相WO₃/TiO₂ S型异质结用于高效光电催化甘油选择性制备二羟基丙酮[J]. 催化学报, 2026, 82(3): 161-173.
[3]	杨丹, 崔翔, 徐周, 颜前, 吴雅婷, 周春梅, 戴翼虎, 万晓月, 靳玉广, 杨艳辉. 配体保护的精确结构镍纳米团簇高效电催化甘油氧化制甲酸[J]. 催化学报, 2025, 76(9): 185-197.
[4]	周正宇, 靳治良. 自定义暴露晶面: 最佳晶面各向异性和欧姆异质结的协同效应促进光催化析氢[J]. 催化学报, 2025, 74(7): 294-307.
[5]	刘利芳, 肖晔珺, 郭向阳, 金盛烨, 章福祥. 基于过饱和策略的MOFs晶面可控合成用于理解本征晶面效应[J]. 催化学报, 2025, 73(6): 153-158.
[6]	熊磊, 付先彪. 电化学CO₂还原为CH₄的研究进展与挑战[J]. 催化学报, 2025, 73(6): 39-61.
[7]	杨洋, 杨洲, 赖志明, 阳灿, 侯乙东, 陶慧琳, 张金水, 付贤智. Bi₂O₂CO₃纳米片晶面工程增强光催化臭氧化: 揭示臭氧吸附与电子转移机制[J]. 催化学报, 2025, 72(5): 143-153.
[8]	段会梅, 李晓菲, 王传辉, 张丛筠, 余楷文, 陈磊, 张云尚, 纪嘉宾, 杨贤峰, 杨东江. Ir/TiO₂催化剂甲烷燃烧反应中TiO₂晶面依赖效应[J]. 催化学报, 2025, 70(3): 378-387.
[9]	陈吉祥, 张佩佩, 陈秉辉, 王伟俊. 含孪晶结构的ZnCdS中ZnCoS的表面缺陷工程用于可见光驱动制氢与苯甲醇氧化的耦合[J]. 催化学报, 2025, 69(2): 84-98.
[10]	毛正昊, 徐文静, 韩娜, 李彦光. 氧化还原介导的甘油电氧化实现高效甘油醛合成[J]. 催化学报, 2025, 78(11): 336-342.
[11]	吕青芸, 张伟伟, 龙志鹏, 王建涛, 邹星礼, 任伟, 侯龙, 鲁雄刚, 赵玉峰, 余兴, 李喜. Fe稳固的FeOOH@NiOOH电催化剂的大电流极化设计与析氧研究[J]. 催化学报, 2024, 62(7): 254-264.
[12]	邵韵航, 张亚宁, 陈潮锋, 窦帅, 娄阳, 董玉明, 朱永法, 潘成思. 通过晶面调控产生强内建电场以提高卟啉光催化剂的H₂O₂生成速率[J]. 催化学报, 2024, 61(6): 205-214.
[13]	Yaejun Baik, Kyeongjin Lee, Minkee Choi. 甘油三酯催化转化为柴油、喷气燃料和润滑油基础油[J]. 催化学报, 2024, 58(3): 15-24.
[14]	李奇, 李杰浩, 白惠敏, 李发堂. 催化剂晶面工程在光/电催化中的研究进展[J]. 催化学报, 2024, 58(3): 86-104.
[15]	段妍, 薛米风, 刘彬, 张曼, 王宇辰, 王宝俊, 章日光, 严凯. 理论和实验相结合研究NiCo₂O₄纳米片用于甘油电氧化反应机制[J]. 催化学报, 2024, 57(2): 68-79.

金红石纳米棒{110}晶面缺陷调控的Pt-WOx催化剂甘油氢解制1,3-丙二醇性能研究

Crystal plane engineering of rutile TiO2 nanorods: Boosting Pt-WOx catalyzed glycerol hydrogenolysis to 1,3-propanediol via {110} plane-associated defects

RichHTML

PDF

Supporting Information

可视化

摘要/Abstract

引用本文

使用本文

扫码分享

图/表 13

参考文献

相关文章 15

编辑推荐

Metrics

金红石纳米棒{110}晶面缺陷调控的Pt-WO_x催化剂甘油氢解制1,3-丙二醇性能研究

Crystal plane engineering of rutile TiO₂ nanorods: Boosting Pt-WO_x catalyzed glycerol hydrogenolysis to 1,3-propanediol via {110} plane-associated defects