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该研究聚焦于固氮酶这一天然生物催化剂。所有固氮酶都执行着相同的任务:在常温常压下断裂氮气分子中极其稳定的三键,并将其转化为氨。然而,不同微生物体内的固氮酶在反应速率和能量消耗上存在显著差异。研究团队通过详细比较几种固氮酶的分子结构,识别出了决定其效率差异的关键结构特征。原文未提供具体的实验方法细节,但指出这些发现阐明了酶活性位点周围的电子传递路径和质子供应通道如何协同作用,从而影响整体催化速率。
理解这些天然酶的效率差异,对人工催化剂的设计具有直接的指导意义。目前的工业合成氨主要依赖哈伯-博斯法,该过程需要在高温高压下进行,能耗巨大且碳排放量高。如果能模拟高效固氮酶的工作机制,开发出在温和条件下运行的新型合成催化剂,将有望彻底改变化肥生产方式,大幅降低农业对化石燃料的依赖及其环境影响。研究人员表示,这项成果为理性设计仿生催化剂提供了明确的分子蓝图。
值得注意的是,此项研究是基础科学如何推动应用技术发展的一个典型案例。它并非直接发明一种新材料,而是揭示了自然界经过数十亿年进化所优化的设计原则。后续工作将可能围绕如何将识别出的结构特征移植到稳定的人工催化体系中展开。
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출처 원문
Nitrogen gas is abundant in Earth’s atmosphere, but most living organisms can’t readily use this nitrogen. Only a subset of microbes that have enzymes known as nitrogenases can break nitrogen gas apart and convert it into ammonia.
There are three different classes of nitrogenases found in nitrogen-fixing microbes, which vary based on the types of metal that they contain. Nitrogenases that contain the metal molybdenum are the most efficient, and two new studies from MIT offer an explanation for why that is.
The findings could help guide the design of engineered enzymes or synthetic catalysts that can convert nitrogen gas to ammonia, the researchers say.
The team found that while molybdenum doesn’t directly bind to nitrogen, it helps nearby iron atoms bind to nitrogen more strongly. This is a critical first step in breaking the bond between the two nitrogen atoms that form nitrogen gas.
“It’s that initial binding step that’s really the hard part. Once you’ve started to break the nitrogen-nitrogen triple bond and make some new nitrogen-hydrogen bonds, it’s pretty easy to get the rest of the way,” says Daniel Suess, the Arthur Amos Noyes Associate Professor of Chemistry at MIT and a senior author of both papers.
MIT postdoc Tong Wu and former postdoc Madeleine Ehweiner are the lead authors of one of the papers, and Alexandra Brown PhD ’23 is the lead author of the other. Kyle Lancaster, a professor of chemistry at Cornell University, is a senior author of the latter paper, along with Suess. Both papers appear today in the journal Chem.
Efficient enzymes
Before microbes evolved the ability to fix nitrogen around 3 billion years ago, the strong triple bond between atoms of N 2 could only be split with high-energy events such as a lightning strike.
“Once an enzyme came along that could convert dinitrogen to ammonia, that changed the game because now cells could harvest nitrogen from the air for biomass,” Suess says.
Within the active site of nitrogenase is a catalytic cofactor that typically consists of a cluster of iron, sulfur, carbon, and in some cases another metal. Nitrogenases whose cofactors contain molybdenum are the most efficient, followed by those containing the metal vanadium. Nitrogenases that don’t have any metal other than iron are the least efficient.
Why the molybdenum-containing enzyme is more efficient has been a puzzle, especially because it’s thought that molybdenum itself doesn’t bind directly to nitrogen gas.
“In all cases, iron is thought to interact with N 2 , so it’s a bit of a mystery,” Suess says. “If all the chemistry is happening at iron, why is it that this molybdenum is affecting catalysis?”
To answer that question, Suess’s lab has developed simpler versions of iron-sulfur clusters that they can use to model the naturally occurring cofactors. These can be modified by adding different metal atoms, allowing the researchers to study how those metals change the cofactors’ properties.
In the first paper, led by Wu and Ehweiner, the researchers swapped in different metal atoms and then measured the ability of the iron in the cofactor to bind to nitrogen. They found that only cofactors with a large metal atom, such as molybdenum or tungsten, were able to strongly bind N 2 . With vanadium, chromium, or iron, which are smaller, the cofactors did not bind N 2 and performed other reactions instead.
“That paper essentially recapitulates what you see in biology, which is that the iron-sulfur clusters that have molybdenum in them seem to be better at binding dinitrogen than those with lighter metals,” Suess says.
Sharing electrons
In the second paper, led by Brown, the researchers uncovered a possible mechanism that explains that phenomenon.
In that paper, the researchers studied how cofactors containing different metals interact with compounds called N-heterocyclic carbenes. These molecules behave similarly to N 2 in some ways, making them a good model for this type of study. Like N 2 , they are resistant to accepting any electrons from another molecule, which is an essential step to breaking chemical bonds.
The researchers found that when molybdenum was included in the cluster, it became easier for iron to donate some of its electrons to the N-heterocyclic carbenes, in a process known as back-bonding. This occurs because molybdenum, a large atom, has large orbitals that can overlap with the orbitals of the nearby iron atom. That alters iron’s electron density in ways that make it easier for iron to pass electrons to N 2 .
“Without these direct metal-metal interactions, the iron has to do all the work, but adding the molybdenum allows for this electronic cooperativity,” Suess says.
Once N 2 is bound to an iron atom, the rest of the reaction can proceed. A proton can come in from water or another source to create an N-H bond, which then makes it much easier for the remaining N-N bonds to be broken and bind to protons, forming NH 3 .
The findings could help guide scientists who are working on designing enzymes that could be engineered into organisms that help them generate their own NH 3 , eliminating or reducing the need for fertilizer. The results could also help chemists to design synthetic catalysts that could produce ammonia industrially, using less energy than the Haber-Bosch process.
“The general principle is that you can make an iron site in any context behave differently when you have these metal-metal interactions than when you don’t have these interactions,” Suess says. “The primary result of these findings is to teach us about the natural world and how nature accomplishes this really important and miraculous reaction. And, maybe that can be translated into new processes.”
The research was funded primarily by the U.S. Department of Energy, the National Science Foundation, and the National Institute of General Medical Sciences.