CARS (Coherent Anti-Stokes Raman Scattering Spectroscopy) is a spectroscopic technology mainly used in chemistry, physics and related fields, which can obtain information through molecular vibrations.
With the development of spectroscopy, our understanding of various spectroscopic techniques is getting deeper and deeper. Especially in recent years, the exploration of CARS technology has compared it with traditional Raman spectroscopy.
Fundamentally, there are clear differences between CARS and Raman spectroscopy. Traditional Raman spectroscopy uses a single continuous wave laser to probe the internal features of molecules. However, CARS uses the nonlinear optical process of three laser beams to generate a coherent signal with higher intensity.
Compared with Raman spectroscopy, CARS is a third-order nonlinear optical process in which three laser beams interact to generate a coherent optical signal.
In CARS, multiple photon interactions corresponding to the vibrational modes of the molecule are involved, which makes the effect of CARS much stronger than spontaneous Raman emission. This technique allows us to efficiently detect signals without the need for highly concentrated samples.
The history of CARS technology dates back to 1965, when P. D. Maker and R. W. Terhune of the Ford Motor Company Scientific Laboratory first reported the CARS phenomenon. They used a pulsed ruby laser to probe the material's third-order response, and their experiments showed that when the frequency difference of the incident beam coincided with the Raman frequency of the sample, the observed signal increased significantly.
Maker and Terhune conducted further research on CARS in 1974 and named it 'coherent anti-Stokes Raman spectroscopy' for the first time.
The basic principles of CARS can be explained by classical models or quantum mechanical models. In the classic model, the CARS process is simulated as a vibrator driven by a laser beam to obtain nanometer-scale changes. In quantum mechanics, the CARS process uses a laser beam to enhance the excited state of molecules and then converts it into a coherent signal for observation.
While both CARS and Raman spectroscopy detect the same Raman active modes, their signal characteristics are very different. Raman signals are spontaneous, while CARS signals are generated by coherent addition. Due to the characteristics of coherent superposition, the CARS signal grows with the square of the distance, which means that strong signals can also be obtained from low-concentration samples.
Since CARS requires phase matching to ensure coherent addition of signals, the geometric configuration of the laser beam must be considered during experimental design.
This means that CARS is more sensitive and accurate in the case of high concentration samples. In addition, CARS technology also has shortcomings, such as its inherent non-resonant background signal that cannot provide clear information about the substances in the sample. In comparison, traditional Raman spectroscopy is more appropriate for characterization of low-concentration samples in some cases.
CARS's potential has been observed in multiple fields, from physics to biology, and even imaging and diagnostic techniques for capturing specific species. CARS microscopy has shown excellent capabilities for imaging lipids in biological samples, making it the non-invasive technique of choice.
Recent research shows that CARS has potential application value by detecting changes in high-frequency signals to monitor temperature changes during the combustion process.
In addition, CARS is also conducting relevant research on developing roadside bomb detectors, which will make this technology important for public safety and preventing the rapidly rising terrorist threat.
Based on the above discussion, it is not difficult to see the important position of CARS in modern science. It has broad application prospects and shows unparalleled advantages compared with traditional Raman spectroscopy technology. However, at the same time, we should also think about how this technology will be further developed in the future to meet increasingly complex scientific challenges?