Facile Fabrication of Wood-Derived Porous Fe 3 C/Nitrogen-Doped Carbon Membrane for Colorimetric Sensing of Ascorbic Acid.
Sadaf Saeedi GarakaniMiao ZhangDongjiu XieAnirban SikdarKanglei PangJiayin YuanPublished in: Nanomaterials (Basel, Switzerland) (2023)
Fe 3 C nanoparticles hold promise as catalysts and nanozymes, but their low activity and complex preparation have hindered their use. Herein, this study presents a synthetic alternative toward efficient, durable, and recyclable, Fe 3 C-nanoparticle-encapsulated nitrogen-doped hierarchically porous carbon membranes (Fe 3 C/N-C). By employing a simple one-step synthetic method, we utilized wood as a renewable and environmentally friendly carbon precursor, coupled with poly(ionic liquids) as a nitrogen and iron source. This innovative strategy offers sustainable, high-performance catalysts with improved stability and reusability. The Fe 3 C/N-C exhibits an outstanding peroxidase-like catalytic activity toward the oxidation of 3,3',5,5'-tetramethylbenzidine in the presence of hydrogen peroxide, which stems from well-dispersed, small Fe 3 C nanoparticles jointly with the structurally unique micro-/macroporous N-C membrane. Owing to the remarkable catalytic activity for mimicking peroxidase, an efficient and sensitive colorimetric method for detecting ascorbic acid over a broad concentration range with a low limit of detection (~2.64 µM), as well as superior selectivity, and anti-interference capability has been developed. This study offers a widely adaptable and sustainable way to synthesize an Fe 3 C/N-C membrane as an easy-to-handle, convenient, and recoverable biomimetic enzyme with excellent catalytic performance, providing a convenient and sensitive colorimetric technique for potential applications in medicine, biosensing, and environmental fields.
Keyphrases
- hydrogen peroxide
- metal organic framework
- aqueous solution
- nitric oxide
- ionic liquid
- gold nanoparticles
- highly efficient
- visible light
- tissue engineering
- machine learning
- high resolution
- label free
- sensitive detection
- quantum dots
- climate change
- mass spectrometry
- simultaneous determination
- iron deficiency
- artificial intelligence
- real time pcr