ArticleslgStudy

science

Two-dimensional infrared spectroscopy

Two-dimensional infrared spectroscopy is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Two-dimensional infrared spectroscopy rather than just read about it. In short: Two-dimensional infrared spectroscopy (2D IR) is a nonlinear infrared spectroscopy technique that has the ability to correlate vibrational modes in condensed-phase systems. This technique provides information beyond linear infrared spectra, by spreading the vibrational information along multiple axes, yielding a frequency correlation spectrum.

Two-dimensional infrared spectroscopy — main illustration
Two-dimensional infrared spectroscopy — illustration

Key takeaways

  • Two-dimensional infrared spectroscopy belongs to science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Two-dimensional infrared spectroscopy to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Two-dimensional infrared spectroscopy from memory before moving on to harder problems.

Reference excerpt

Two-dimensional infrared spectroscopy (2D IR) is a nonlinear infrared spectroscopy technique that has the ability to correlate vibrational modes in condensed-phase systems. This technique provides information beyond linear infrared spectra, by spreading the vibrational information along multiple axes, yielding a frequency correlation spectrum. A frequency correlation spectrum can offer structural information such as vibrational mode coupling, anharmonicities, along with chemical dynamics such as energy transfer rates and molecular dynamics with femtosecond time resolution. 2DIR experiments have only become possible with the development of ultrafast lasers and the ability to generate femtosecond infrared pulses.

Systems studied Among the many systems studied with infrared spectroscopy are water, metal carbonyls, short polypeptides, proteins, perovskite solar cells, and DNA oligomers.

Experimental approaches There are two main approaches to two-dimensional spectroscopy, the Fourier-transform method, in which the data is collected in the time-domain and then Fourier-transformed to obtain a frequency-frequency 2D correlation spectrum, and the frequency domain approach in which all the data is collected directly in the frequency domain.

Time domain The time-domain approach consists of applying two pump pulses. The first pulse at t = 0 {\displaystyle t=0} creates a coherence between the vibrational modes of the molecule and the second pulse at t 1 {\displaystyle t_{1}} creates a population, effectively storing information in the molecules. After a determined waiting time, ranging from a zero to a few hundred picoseconds, an interaction with a third pulse again creates a coherence, which, due to an oscillating dipole, radiates an infrared signal. The radiated signal is heterodyned with a reference pulse in order to retrieve frequency and phase information; the signal is usually collected in the frequency domain using a spectrometer yielding detection frequency ω 3 {\displaystyle \omega _{3}} . A Fourier transform along t 1 {\displaystyle t_{1}} then yields a ( ω 1 {\displaystyle \omega _{1}} , ω 3 {\displaystyle \omega _{3}} ) correlation spectrum. In all these measurements phase stability among the pulses has to be preserved. Recently, pulse shaping approaches were developed to simplify overcoming this challenge.

Frequency domain Similarly, in the frequency-domain approach, a narrowband pump pulse is applied and, after a certain waiting time, then a broadband pulse probes the system. A 2DIR correlation spectrum is obtained by plotting the probe frequency spectrum at each pump frequency.

Spectral interpretation

After the waiting time in the experiment, it is possible to reach double excited states. This results in the appearance of an overtone peak. The anharmonicity of a vibration can be read from the spectra as the distance between the diagonal peak and the overtone peak. One obvious advantage of 2DIR spectra over normal linear absorption spectra is that they reveal the coupling between different states. This for example, allows for the determination of the angle between the involved transition dipoles. The true power of 2DIR spectroscopy is that it allows following dynamical processes such as chemical exchange, motional narrowing, vibrational population transfer, and molecular reorientation on the sub-picosecond time scale. It has for example been used successfully to study hydrogen bond forming and breaking and to determine the transition state geometry of a structural rearrangement in an iron carbonyl compound. Spectral interpretation can be successfully assisted with developed theoretical methods. Currently, two freely available packages exists for modeling 2D IR spectra. These are the SPECTRON developed by the Mukamel group (University of California, Irvine) and the NISE program developed by the Jansen group (University of Groningen).

Solvent effect The consideration of the solvent effect has been shown to be crucial in order to effectively describe the vibrational coupling in solution, since the solvent modify both vibrational frequencies, transition probabilities and couplings. Computer simulations can reveal the spectral signatures arising from solvent degrees of freedom and their change upon water reorganization.

See also Two-dimensional correlation analysis

References

Illustrations

Two-dimensional infrared spectroscopy: Pulse sequence used to obtain a two-dimensional Fourier transform infrared spectrum: 
  
    
      
        
          t
          
            1
          
        
      
    
    {\displaystyle t_{1}}
  
 is the coherence time, 
  
    
      
        
          t
          
            2
          
        
      
    
    {\displaystyle t_{2}}
  
 is the waiting time. The Fourier transform with respect to 
  
    
      
        
          t
          
            1
          
        
      
    
    {\displaystyle t_{1}}
  
 provides the excitation spectrum (frequency 
  
    
      
        
          ω
          
            1
          
        
      
    
    {\displaystyle \omega _{1}}
  
).
Pulse sequence used to obtain a two-dimensional Fourier transform infrared spectrum: t 1 {\displaystyle t_{1}} is the coherence time, t 2 {\displaystyle t_{2}} is the waiting time. The Fourier transform with respect to t 1 {\displaystyle t_{1}} provides the excitation spectrum (frequency ω 1 {\displaystyle \omega _{1}} ).
Two-dimensional infrared spectroscopy: Schematic of a 2D IR spectrum. The red circles correspond to bleaching of the ground state. The blue circles correspond to absorption of the excited state.  The smaller off-diagonal circles to coupling between the two states. The linear absorption (FTIR) spectrum is indicated above the 2D IR spectrum. The two peaks in the 1D spectrum reveal no information on coupling between the two states.
Schematic of a 2D IR spectrum. The red circles correspond to bleaching of the ground state. The blue circles correspond to absorption of the excited state. The smaller off-diagonal circles to coupling between the two states. The linear absorption (FTIR) spectrum is indicated above the 2D IR spectrum. The two peaks in the 1D spectrum reveal no information on coupling between the two states.

Worked examples

Example 1 — a first encounter with Two-dimensional infrared spectroscopy

Start with the simplest possible case. Write down what Two-dimensional infrared spectroscopy claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Two-dimensional infrared spectroscopy before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Two-dimensional infrared spectroscopy ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Two-dimensional infrared spectroscopy

In research
Two-dimensional infrared spectroscopy appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Two-dimensional infrared spectroscopy in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Two-dimensional infrared spectroscopy is common in secondary-school and first-year university syllabi. It links to neighbouring topics Infrared spectroscopy, so understanding it makes those chapters shorter.
In everyday life
Look for Two-dimensional infrared spectroscopy outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
Ask Teacher Smith questions about this articleOpens your AI tutor with a question about “Two-dimensional infrared spectroscopy” →

Affiliate

Preply — study more efficiently by working with a personal tutor. 50% off.

How to study Two-dimensional infrared spectroscopy in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Two-dimensional infrared spectroscopy means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Two-dimensional infrared spectroscopy out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Two-dimensional infrared spectroscopy in simple terms?

Two-dimensional infrared spectroscopy (2D IR) is a nonlinear infrared spectroscopy technique that has the ability to correlate vibrational modes in condensed-phase systems. This technique provides information beyond linear infrared spectra, by spreading the vibrational information along multiple ax…

Why does Two-dimensional infrared spectroscopy matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Two-dimensional infrared spectroscopy?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Two-dimensional infrared spectroscopy.

Tags

  • Infrared spectroscopy

Keep exploring