Subtopic Deep Dive
Non-Heme Iron Dioxygen Activation
Research Guide
What is Non-Heme Iron Dioxygen Activation?
Non-Heme Iron Dioxygen Activation studies the binding and activation of O2 at non-heme iron centers in enzymes such as methane monooxygenase and Rieske dioxygenases using spectroscopic and computational methods.
This subtopic examines partial reduction steps of dioxygen at Fe(II/III) sites via kinetic isotope effects, resonance Raman spectroscopy, and density functional theory. Key enzymes include Rieske non-heme iron oxygenases classified by Weon et al. (2008, 154 citations) and nitric oxide synthases detailed by Alderton et al. (2001, 3543 citations). Over 10 high-citation papers from 1994-2015 document structural and reactivity insights.
Why It Matters
Mechanisms from non-heme iron dioxygen activation guide biomimetic catalysts for selective C-H oxygenation, as in Lindhorst et al. (2015, 144 citations) on molecular iron complexes for C-H bond reactions. Insights from Rieske oxygenases (Weon et al., 2008) inform aromatic hydroxylation for bioremediation (Ullrich and Hofrichter, 2007, 339 citations). High-valent iron-oxo species (Hohenberger et al., 2012, 528 citations) enable industrial alkane oxidation mimicking methane monooxygenase.
Key Research Challenges
Characterizing Transient Intermediates
Detecting short-lived Fe-superoxo and Fe-peroxo species requires advanced spectroscopy like resonance Raman. Hong et al. (2014, 136 citations) characterized a mononuclear non-heme Fe(III)-superoxo complex but reactivity pathways remain debated. Kinetic isotope effects help but low yields hinder isolation.
Distinguishing Heme vs Non-Heme Pathways
Overlapping spectral signatures complicate heme/non-heme differentiation in oxygenases. Alderton et al. (2001, 3543 citations) detailed NOS structures, yet non-heme Rieske systems (Weon et al., 2008, 154 citations) show unique cluster requirements. Synthetic models struggle to replicate enzymatic selectivity.
Biomimetic Catalyst Efficiency
Iron complexes achieve low turnover numbers for O2 activation in C-H oxygenation. Lindhorst et al. (2015, 144 citations) reported selective catalysts but overoxidation limits scalability. DFT predictions from Hohenberger et al. (2012, 528 citations) guide design yet experimental validation lags.
Essential Papers
Nitric oxide synthases: structure, function and inhibition
W. Alderton, Chris E. Cooper, Richard G. Knowles · 2001 · Biochemical Journal · 3.5K citations
This review concentrates on advances in nitric oxide synthase (NOS) structure, function and inhibition made in the last seven years, during which time substantial advances have been made in our und...
The biology and chemistry of high-valent iron–oxo and iron–nitrido complexes
Johannes Hohenberger, Kallol Ray, Karsten Meyer · 2012 · Nature Communications · 528 citations
Enzymatic hydroxylation of aromatic compounds
René Ullrich, Martin Hofrichter · 2007 · Cellular and Molecular Life Sciences · 339 citations
The nature of the copper ions in the membranes containing the particulate methane monooxygenase from Methylococcus capsulatus (Bath).
Hoai‐Huong Nguyen, Andrew K. Shiemke, Sheila J. Jacobs et al. · 1994 · Journal of Biological Chemistry · 189 citations
It is shown that the particulate methane monooxygenase (pMMO) has an obligate requirement for copper. The MMO activity in the particulate fractions obtained from Methylococcus capsulatus (Bath) cel...
Evidence for an oxygen evolving iron–oxo–cerium intermediate in iron-catalysed water oxidation
Zoel Codolà, Laura Gómez, Scott T. Kleespies et al. · 2015 · Nature Communications · 154 citations
The non-haem iron complex α-[Fe(II)(CF3SO3)2(mcp)] (mcp=(N,N'-dimethyl-N,N'-bis(2-pyridylmethyl)-1,2-cis-diaminocyclohexane) reacts with Ce(IV) to oxidize water to O2, representing an iron-based fu...
A new classification system for bacterial Rieske non-heme iron aromatic ring-hydroxylating oxygenases
Hang‐Yeon Weon, Seong-Jae Kim, Songjoon Baek et al. · 2008 · BMC Biochemistry · 154 citations
Molecular iron complexes as catalysts for selective C–H bond oxygenation reactions
Anja C. Lindhorst, Simone Haslinger, Fritz E. Kühn · 2015 · Chemical Communications · 144 citations
This feature article summarises recent developments in homogeneous C–H bond oxygenation catalysed by molecular iron complexes.
Reading Guide
Foundational Papers
Start with Alderton et al. (2001, 3543 citations) for NOS enzyme structures as the highest-cited overview, then Hohenberger et al. (2012, 528 citations) for iron-oxo reactivity fundamentals, and Weon et al. (2008) for Rieske classification.
Recent Advances
Study Hong et al. (2014, 136 citations) for Fe(III)-superoxo characterization and Lindhorst et al. (2015, 144 citations) for C-H oxygenation catalysts.
Core Methods
Core techniques include resonance Raman for superoxo detection (Hong et al., 2014), kinetic isotope effects for mechanism (Ullrich and Hofrichter, 2007), and DFT for spin states (Hohenberger et al., 2012).
How PapersFlow Helps You Research Non-Heme Iron Dioxygen Activation
Discover & Search
Research Agent uses searchPapers and citationGraph on 'non-heme iron dioxygenase' to map 250M+ papers, revealing Alderton et al. (2001, 3543 citations) as the top-cited hub linking to Hohenberger et al. (2012) and Weon et al. (2008). exaSearch uncovers semantic matches like Rieske classifications; findSimilarPapers expands to 50+ related works on Fe-superoxo intermediates.
Analyze & Verify
Analysis Agent applies readPaperContent to Hong et al. (2014) for spectroscopic data extraction, then verifyResponse (CoVe) cross-checks Fe(III)-superoxo claims against Ullrich and Hofrichter (2007). runPythonAnalysis plots kinetic isotope effects from extracted data with NumPy/pandas; GRADE assigns A-grade evidence to high-citation mechanistic proposals.
Synthesize & Write
Synthesis Agent detects gaps in biomimetic efficiency between Lindhorst et al. (2015) and enzymatic models, flagging contradictions in O2 reduction steps. Writing Agent uses latexEditText and latexSyncCitations to draft mechanism reviews, latexCompile for publication-ready PDFs, and exportMermaid for Fe-oxo reaction diagrams.
Use Cases
"Plot kinetic isotope effects from non-heme iron oxygenase papers"
Research Agent → searchPapers → Analysis Agent → readPaperContent (Ullrich 2007) → runPythonAnalysis (NumPy/matplotlib KIE plots) → researcher gets overlaid isotope effect graphs with statistical fits.
"Draft LaTeX review on Rieske dioxygenase mechanisms"
Synthesis Agent → gap detection (Weon 2008 vs Hong 2014) → Writing Agent → latexEditText + latexSyncCitations (10 papers) → latexCompile → researcher gets compiled PDF with cited Rieske cluster diagram.
"Find GitHub code for DFT on iron-oxo complexes"
Research Agent → citationGraph (Hohenberger 2012) → Code Discovery → paperExtractUrls → paperFindGithubRepo → githubRepoInspect → researcher gets verified DFT scripts for Fe-superoxo modeling.
Automated Workflows
Deep Research workflow scans 50+ papers on non-heme iron activation via searchPapers → citationGraph → structured report ranking Alderton (2001) mechanisms. DeepScan applies 7-step CoVe analysis to Hong et al. (2014) superoxo data with GRADE checkpoints and runPythonAnalysis for spectra verification. Theorizer generates hypotheses linking Rieske clusters (Weon 2008) to synthetic C-H catalysts (Lindhorst 2015).
Frequently Asked Questions
What defines non-heme iron dioxygen activation?
It covers O2 binding and partial reduction at non-heme Fe centers in enzymes like Rieske dioxygenases and NOS, probed by spectroscopy and DFT (Alderton et al., 2001; Weon et al., 2008).
What are key methods used?
Resonance Raman spectroscopy identifies Fe-superoxo species (Hong et al., 2014); kinetic isotope effects measure C-H cleavage (Ullrich and Hofrichter, 2007); DFT models high-valent iron-oxo reactivity (Hohenberger et al., 2012).
What are foundational papers?
Alderton et al. (2001, 3543 citations) on NOS structure; Hohenberger et al. (2012, 528 citations) on iron-oxo chemistry; Weon et al. (2008, 154 citations) on Rieske oxygenase classification.
What open problems exist?
Transient intermediate characterization, heme/non-heme distinction, and scalable biomimetic catalysts remain unsolved, as turnover limits persist in models (Lindhorst et al., 2015).
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