Graduate School of Energy, Environment, Water, and Sustainability (EEWS), Korea Advanced Institute of Science and Technology , 291 Daehak-ro, Yuseong-Gu, Daejeon 305-701, Korea.
Environ Sci Technol. 2014 Nov 4;48(21):12768-74. doi: 10.1021/es503772x. Epub 2014 Oct 17.
Nitrate (NO3-) is one of the most harmful contaminants in the groundwater, and it causes various health problems. Bimetallic catalysts, usually palladium (Pd) coupled with secondary metallic catalyst, are found to properly treat nitrate-containing wastewaters; however, the selectivity toward N2 production over ammonia (NH3) production still requires further improvement. Because the N2 selectivity is determined at the nitrite (NO2-) reduction step on the Pd surface, which occurs after NO3- is decomposed into NO2- on the secondary metallic catalyst, we here performed density functional theory (DFT) calculations and experiments to investigate the NO2- reduction pathway on the Pd surface activated by hydrogen. Based on extensive DFT calculations on the relative energetics among ∼100 possible intermediates, we found that NO2- is easily reduced to NO* on the Pd surface, followed by either sequential hydrogenation steps to yield NH3 or a decomposition step to N* and O* (an adsorbate on Pd is denoted using an asterisk). Based on the calculated high migration barrier of N*, we further discussed that the direct combination of two N* to yield N2 is kinetically less favorable than the combination of a highly mobile H* with N* to yield NH3. Instead, the reduction of NO2- in the vicinity of the N* can yield N2O* that can be preferentially transformed into N2 via diverse reaction pathways. Our DFT results suggest that enhancing the likelihood of N* encountering NO2- in the solution phase before combination with surface H* is important for maximizing the N2 selectivity. This is further supported by our experiments on NO2- reduction by Pd/TiO2, showing that both a decreased H2 flow rate and an increased NO2- concentration increased the N2 selectivity (78.6-93.6% and 57.8-90.9%, respectively).
硝酸盐(NO3-)是地下水最有害的污染物之一,它会导致各种健康问题。双金属催化剂,通常是钯(Pd)与次级金属催化剂结合,被发现可以有效地处理含硝酸盐的废水;然而,其对氮气(N2)生成相对于氨(NH3)生成的选择性仍需要进一步提高。因为 N2 的选择性是在 Pd 表面上的亚硝酸盐(NO2-)还原步骤中确定的,该步骤发生在次级金属催化剂上将 NO3-分解为 NO2-之后,我们在此通过密度泛函理论(DFT)计算和实验研究了在氢气激活下 Pd 表面上的 NO2-还原途径。基于对约 100 个可能中间体的相对能垒的广泛 DFT 计算,我们发现 NO2-很容易在 Pd 表面上还原为 NO*,然后是通过连续的加氢步骤生成 NH3,或者通过分解步骤生成 N和 O(Pd 上的吸附物用星号表示)。基于计算出的 N的高迁移势垒,我们进一步讨论了直接组合两个 N生成 N2 在动力学上不如组合高迁移的 H与 N生成 NH3有利。相反,在 N附近还原 NO2-可以生成 N2O,它可以通过多种反应途径优先转化为 N2。我们的 DFT 结果表明,在与表面 H结合之前,增强 N在溶液相中遇到 NO2-的可能性对于最大化 N2 选择性很重要。这进一步得到了我们在 Pd/TiO2 上进行的 NO2-还原实验的支持,实验表明,降低氢气流量和增加 NO2-浓度都可以提高 N2 的选择性(分别为 78.6-93.6%和 57.8-90.9%)。