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Pyrite autotrophic denitrification (PAD) is a cost-effective and promising method for nitrogen removal from low C/N wastewater. Recent work has primarily focused on experimental schemes to investigate PAD performance, while overlooking the impact of pyrite's origin on its mineral properties and chemical reactivity. Thus, the optimal strategy for selecting pyrite based on the structure-activity relationship between its mineral characteristics and PAD performance remains unclear. In this work, a series of PAD systems were established using natural pyrite from different origins as electron donors. The results showed that the pyrite from Yunfu (B-YPy38 and B-YPy48) exhibited the optimal performance, with nitrate (NO3−-N) removal rates of 88.56 ± 0.60% and 72.26 ± 3.10% after long-term operation, respectively. The distinct nutrient removal efficiency could be attributed to variations in the mineral crystallization habits and electrochemical properties of pyrites from different origins. XPS analysis revealed that the pyrite from Yunfu contained more Fe(III)-S bonds associated with the breakage of pyrite crystal structure, thereby accelerating the 'oxidation-dissolution' process of pyrite to produce Fe(II) and S0, thus providing more electron donors for autotrophic denitrifying bacteria (e.g., Rhodanobacter and Thermomonas). Electrochemical analysis further indicated that the stronger Fe(II)/Fe(III) cycling capacity in pyrite from Yunfu might enhance electron shuttling between pyrite and NO3−-N. Microbial community analysis revealed that the higher chemical reactivity and electron transfer in YPy38 and YPy48 promote the enrichment of autotrophic denitrifying bacteria. These findings shed new light on understanding microbial processes in PAD systems, offering a theoretical basis for the optimal selection of pyrite to enhance PAD efficiency for further application. © 2025 Elsevier B.V.
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Chemical Engineering Journal
ISSN: 1385-8947
Year: 2025
Volume: 519
1 3 . 4 0 0
JCR@2023
Cited Count:
SCOPUS Cited Count: 2
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 2
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