Editorial Feature

What is Vibrational Spectroscopy?

Vibrational spectroscopy analyzes molecular vibrations to provide insights into molecular structure, dynamics, and chemical environments.

Fourier Transform Infrared Spectroscopy FTIR instrument and sample in vials for analysis.

Image Credit: S. Singha/Shutterstock.com

These vibrations occur at characteristic frequencies, which are determined by atomic masses, bond strengths, and molecular geometry. When molecules interact with light, they absorb or scatter at specific frequencies that correspond to these vibrational modes—such as stretching, bending, and twisting—resulting in a unique spectral signature.

Key methods, including infrared (IR) and Raman spectroscopy (RS), examine different aspects of these molecular vibrations and are widely used to study molecular configurations and chemical behaviors.1 These methods are widely used in materials science, chemistry, biology, and environmental research.2

Key Techniques Overview

IR Spectroscopy

IR spectroscopy measures the absorption of infrared light by molecules, causing transitions from a ground vibrational state to an excited vibrational state. This excitation occurs at specific frequencies, with each bond type having a characteristic vibrational frequency influenced by bond strength and atomic masses. Stronger bonds, like triple bonds, and bonds with lighter atoms, like hydrogen, vibrate at higher frequencies, resulting in distinct absorption peaks.

For example, the O-H bond absorbs around 3300 cm⁻¹, and the C=O bond absorbs near 1725 cm⁻¹. The absorption intensity depends on the dipole moment of the bond. Polar bonds, like O-H and C=O, show stronger absorption, while nonpolar bonds, like C-C, show little to no absorption.

By analyzing these absorption patterns, researchers can identify functional groups, determine molecular structure, and monitor chemical reactions. IR spectroscopy is widely used in pharmaceuticals, polymers, and environmental science.3

Raman Spectroscopy

RS involves inelastic scattering, where incident light exchanges energy with molecular vibrations, causing a shift in the frequency of scattered light. This shift, in the Stokes or Anti-Stokes region, reflects changes in bond polarizability. Surface-enhanced RS (SERS) amplifies this effect using nanostructured metallic surfaces, increasing the electromagnetic field and boosting scattering intensity.

SERS enables the detection of low-concentration analytes and detailed surface studies. Together, Raman and SERS provide precise vibrational data that complement IR spectroscopy. It is particularly useful for studying complex systems like biological samples, crystalline structures, and materials in harsh environments.4

What is Raman Spectroscopy?

Near-IR Spectroscopy

Near-infrared (NIR) spectroscopy measures light absorption from overtone and combination vibrations of molecular bonds, such as N-H, O-H, and C-H. Overtones occur when vibrational modes absorb energy beyond their fundamental frequency, and combination bands arise from simultaneous excitation of multiple vibrations. These features are observed in the NIR region due to the anharmonicity of molecular vibrations.

While less detailed than IR, NIR is fast, non-destructive, and ideal for quantitative analysis. It is widely used in process monitoring, pharmaceuticals, food quality evaluation, and agriculture, as it analyzes bulk materials and moisture content with minimal sample preparation.

NIR also has the ability to penetrate deeper into samples, enhancing its utility in medical diagnostics and environmental monitoring.5 It complements Raman and IR techniques, making it valuable for studying complex systems and non-destructive analysis.

Applications Across Scientific Fields

Chemistry & Materials Science

Vibrational spectroscopy is key for determining molecular structures and studying bond dynamics in chemical compounds. It is also used to monitor chemical reactions, providing valuable information on their kinetics and processes. The technique is useful for identifying functional groups and detecting contaminants in materials science, particularly in the characterization of polymers, composites, and nanomaterials.

Biology & Medicine

In the biomedical field, vibrational spectroscopy assists in disease detection by analyzing biochemical changes in tissues and cells. Techniques such as Raman and IR spectroscopy are used for non-invasive cancer diagnostics and monitoring metabolic disorders. These methods are valuable for studying molecular interactions and processes, supporting advancements in biology and medicine. They also play an important role in pharmaceutical development by ensuring quality control and molecular consistency.

Environmental Science

Vibrational spectroscopy is widely applied in environmental monitoring, enabling the detection of air, soil, and water pollutants. It is instrumental in water quality analysis, identifying contaminants like heavy metals and organic compounds. The technique also supports the study of greenhouse gases and aerosols, contributing to climate change research and pollution management.

These applications highlight its value in advancing scientific understanding and enhancing industrial processes.6

Advancements in Spectroscopy Techniques

Recent advancements in vibrational spectroscopy have led to improvements in speed, sensitivity, and portability. Enhanced software and automation have streamlined high-throughput screening, allowing for faster and more accurate analysis of complex samples in pharmaceutical and materials science applications. These tools help optimize workflows and improve data interpretation across various applications.

Surface-enhanced Raman Spectroscopy (SERS) has seen notable improvements in sensitivity, particularly for detecting small quantities of substances. Developments include the use of metallic nanostructures, such as gold and silver nanoparticles, to increase signal amplification. These techniques are increasingly applied in biomedical and forensic research due to their effectiveness in detecting infections and biomarkers.

Miniaturized, portable vibrational spectroscopy devices have become more common in various industries for on-site analysis. These compact instruments are now used in food safety, environmental monitoring, and industrial quality control. They enable real-time assessments without the need for extensive laboratory setups while still maintaining accuracy and reliability.

Future innovations in miniaturization, along with the integration of artificial intelligence (AI) and machine learning (ML), are expected to improve its capabilities for real-time, on-site analysis. This will likely expand its use in diagnostics, materials science, and environmental monitoring.

Developments in quantum technologies and advanced photonics may further enhance its precision, potentially enabling new applications in nanoscale research and space exploration.

These developments highlight a growing focus on integrating advanced technologies with practical applications, expanding the accessibility and utility of vibrational spectroscopy across scientific and industrial fields.7

Reference and Further Reading

1. Koczoń, P., et al. (2023). The Analytical Possibilities of FT-IR Spectroscopy Powered by Vibrating Molecules. International Journal of Molecular Sciences. DOI: 10.3390/ijms24021013, https://www.mdpi.com/1422-0067/24/2/1013

2. Kapil, V., et al. (2023). First-principles spectroscopy of aqueous interfaces using machine-learned electronic and quantum nuclear effects. Faraday Discussions. DOI: 10.1039/d3fd00113j, https://pubs.rsc.org/en/content/articlehtml/2023/fd/d3fd00113j

3. Zhang, H., et al. (2024). Contributions of fourier-transform infrared spectroscopy technologies to the research of asphalt materials: A comprehensive review. Fuel, 371, 132078. DOI: 10.1016/j.fuel.2024.132078, https://www.sciencedirect.com/science/article/abs/pii/S0016236124012262

4. Magdy, M. (2023). A Conceptual Overview of Surface-Enhanced Raman Scattering (SERS). Plasmonics. DOI:10.1007/s11468-023-01807-y, https://link.springer.com/article/10.1007/s11468-023-01807-y

5. Fusè, M., et al. (2023). Pushing measurements and interpretation of VCD spectra in the IR, NIR and visible ranges to the detectability and computational complexity limits. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy. DOI: 10.1016/j.saa.2023.123496, https://www.sciencedirect.com/science/article/pii/S1386142523011812

6. Pirutin, SK., et al. (2022). Vibrational Spectroscopy as a Tool for Bioanalytical and Biomonitoring Studies. International Journal of Molecular Sciences. DOI: 10.3390/ijms24086947, https://www.mdpi.com/1422-0067/24/8/6947   

7. Sloan-Dennison, S., et al. (2024). Advancing SERS as a quantitative technique: challenges, considerations, and correlative approaches to aid validation. Nano Convergence. DOI: 10.1186/s40580-024-00443-4, https://nanoconvergencejournal.springeropen.com/articles/10.1186/s40580-024-00443-4

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Silpaja Chandrasekar

Written by

Silpaja Chandrasekar

Dr. Silpaja Chandrasekar has a Ph.D. in Computer Science from Anna University, Chennai. Her research expertise lies in analyzing traffic parameters under challenging environmental conditions. Additionally, she has gained valuable exposure to diverse research areas, such as detection, tracking, classification, medical image analysis, cancer cell detection, chemistry, and Hamiltonian walks.

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