Journal
ENVIRONMENTAL SCIENCE & TECHNOLOGY
Volume 48, Issue 21, Pages 12768-12774Publisher
AMER CHEMICAL SOC
DOI: 10.1021/es503772x
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Funding
- National Research Foundation of Korea [10Z20130011056] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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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 N-2 production over ammonia (NH3) production still requires further improvement. Because the N-2 selectivity is determined at the nitrite (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 similar to 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 N-2 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 N-2 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 N-2 selectivity. This is further supported by our experiments on NO2- reduction by Pd/TiO2, showing that both a decreased H-2 flow rate and an increased NO2- concentration increased the N-2 selectivity (78.6-93.6% and 57.8-90.9%, respectively).
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