The Top 10 Most Influential Applications of Vibrational Spectroscopy in Environmental Analysis (2024-2026)

Vibrational spectroscopy has become a cornerstone analytical technology for environmental science due to its molecular specificity, nondestructive nature, and compatibility with advanced data analysis techniques. In 2024 to 2026, a series of influential studies significantly expanded the role of near-infrared (NIR), Fourier transform infrared (FT-IR), and Raman spectroscopy in environmental monitoring. This brief review summarizes 10 highly impactful papers covering multimodal Raman–FTIR imaging, microplastics analysis, soil organic matter estimation, indoor air pollution detection, pesticide residue monitoring, and combined molecular and elemental characterization of samples. Each paper is summarized, highlighting its methodological innovations, analytical performance, and broader influence on environmental spectroscopy research and applications.

Introduction

Environmental monitoring increasingly demands analytical techniques that are rapid, robust, nondestructive, and capable of operating in complex matrices or field environments. Vibrational spectroscopy, particularly NIR, FT-IR, and Raman methods, meets these requirements by providing chemically specific molecular fingerprints with minimal (or no) sample preparation. When combined with chemometrics, machine learning, and sensor data fusion, these techniques enable quantitative, real-time, and in situ environmental measurements. The period from 2024 through 2026 marks a significant transition toward integrated spectroscopic systems, multimodal data acquisition, and intelligent modeling strategies. The 10 papers reviewed below exemplify these trends and collectively illustrate the evolving role of vibrational spectroscopy in addressing global environmental challenges.

Influential Papers and Expanded Narrative Discussion

1. Multimodal Raman–FTIR Microscopy in a Single Instrument

Jurowski et al reported the development and evaluation of a fully integrated Raman-FTIR microscope capable of acquiring complementary vibrational information from the same microscopic region without sample transfer.¹ The paper provides a detailed description of the instrument architecture, optical configuration, and operational workflow, demonstrating how Raman spectroscopy and FT-IR spectroscopy can be seamlessly combined within a single analytical platform. Through representative case studies, the authors show how multimodal imaging enhances molecular characterization by leveraging Raman sensitivity to nonpolar bonds and FT-IR sensitivity to polar functional groups. This capability is particularly valuable for environmentally relevant heterogeneous samples such as microplastics, composite particulates, and biological-mineral interfaces. The influence of this work lies in its demonstration that integrated multimodal vibrational imaging can significantly improve analytical confidence, reduce analysis time, and enable correlative environmental microscopy that was previously impractical using separate instruments.

2. Vibrational Spectroscopic Detection of Environmental Microfibers

Tripathy et al presented a comprehensive critical review of vibrational spectroscopic techniques for detecting environmental microfiber pollutants, with a primary focus on FT-IR and Raman spectroscopy.² The article systematically examines the sources, environmental distribution, and polymeric composition of microfibers, followed by an in-depth discussion of analytical workflows used for their identification and quantification. Particular attention is given to spectral libraries, particle size limitations, matrix interferences, and sample preparation challenges encountered in real-world environmental samples. By comparing FT-IR and Raman approaches, the authors clarify the strengths and limitations of each technique for microfiber analysis. This review has been influential because it consolidated a rapidly expanding body of literature into a coherent analytical framework, providing researchers and regulatory bodies with practical guidance for implementing vibrational spectroscopy in microfiber pollution monitoring.

3. Soil Organic Matter Estimation Using NIR–Raman Spectral Fusion

Bai et al investigated the use of spectral data fusion to improve the estimation accuracy of soil organic matter (SOM) by combining near-infrared and Raman spectroscopy.³ The study evaluated 2 fusion strategies—direct concatenation and outer-product analysis—coupled with multivariate models such as partial least squares and random forest regression. Using a large and geographically diverse soil sample set, the authors demonstrated that Raman spectroscopy alone produced relatively poor SOM predictions because of fluorescence and weak signal intensity, but that fusion with NIR spectra with Raman significantly improved model robustness and accuracy. The chemometric outer-product analysis approach proved particularly effective in capturing complementary spectral information. This paper is influential because it demonstrated, with quantitative rigor, how multisensor vibrational fusion can overcome intrinsic limitations of individual techniques, advancing soil spectroscopy for precision agriculture, soil health monitoring, and environmental carbon assessment.

4. Advanced Spectral Modulation for Indoor Air Pollution Detection

Shalaby et al introduced a novel approach for indoor air pollution monitoring that combines chirped spectral modulation with particle swarm optimization algorithms to detect trace concentrations of harmful gases.⁴ The system was designed to improve sensitivity in complex indoor environments where interfering vapors are common, such as kitchens and industrial workspaces. The authors demonstrated the detection of gases, including carbon dioxide, carbon monoxide, nitrogen dioxide, and sulfur dioxide at extremely low concentration levels while maintaining low prediction error. This work is influential because it illustrates how vibrational spectroscopy can be enhanced through algorithmic optimization to produce low-cost, high-sensitivity gas-sensing systems. The integration of advanced signal processing and optimization algorithms represents an important step toward practical, real-time air-quality monitoring technologies.

5. Sampling and Spectroscopic Characterization of Environmental Microplastics

Sharma et al provided a detailed review of methodologies used for sampling, separation, characterization, and quantification of microplastics across different environmental compartments, including soil, water, air, and biota.⁵ The paper critically evaluates FT-IR and Raman spectroscopy alongside complementary techniques such as pyrolysis–gas chromatography–mass spectrometry, emphasizing the lack of standardized protocols across studies. The authors discuss how variations in sample preparation, particle isolation, and spectral interpretation can lead to inconsistent results and hinder comparability between studies. This review has been influential because it highlighted the urgent need for harmonized analytical workflows and positioned vibrational spectroscopy as a central tool in standardized microplastics monitoring strategies.

6. One-Stop μ-FTIR and μ-Raman Detection of Microplastics

Zhang et al developed a multispectroscopy approach that combines micro-FTIR and micro-Raman analysis on a single reusable barium fluoride substrate for the detection of microplastics.⁶ The study demonstrated that this substrate provided broad spectral transmission, reduced background interference, and compatibility with both techniques. When applied to real environmental and biological samples, including indoor air and bottled water, the combined approach significantly increased detected microplastic counts compared with single-technique methods. This paper is influential because it offered a practical, cost-effective solution for comprehensive microplastics analysis, reducing underestimation bias and improving detection efficiency in routine environmental monitoring.

7. Vibrational Spectroscopy for Microplastic Detection in Water

Jung et al published an in-depth review focusing on the application of Raman and FT-IR spectroscopy for detecting microplastics in aquatic environments.⁷ The paper covers fundamental spectroscopic principles, sample preparation strategies, and recent advances in instrumentation and data analysis. Special attention is given to challenges associated with organic matter interference, particle size limitations, and fluorescence effects. By synthesizing results from numerous recent studies, the authors provide a balanced assessment of current capabilities and future research needs. This review has been influential as a reference framework for aquatic microplastics research, particularly in the context of drinking water safety and environmental regulation.

8. NIR and SERS Fusion for Pesticide Residue Detection

Yan et al proposed a multivariate calibration model that integrates near-infrared spectroscopy with surface-enhanced Raman spectroscopy (SERS) for the detection of pesticide residues in food systems.⁸ The study employed an advanced variable selection algorithm to optimize feature-level fusion and demonstrated superior predictive performance compared with single-technique models. The results showed high sensitivity, excellent robustness, and strong resistance to matrix interference. This work is influential because it illustrates how combining bulk-sensitive NIR measurements with highly sensitive SERS signals can produce powerful analytical tools for environmental and food safety monitoring.

9. In Situ ATR-FTIR Detection of Pesticides on Plant Surfaces

Lv et al reported the first use of portable ATR-FTIR spectroscopy for in situ qualitative and quantitative analysis of pesticide residues directly on plant surfaces without sample pretreatment.⁹ Using chemometric modeling, the authors achieved accurate classification and quantification of fungicide residues on tomato skins. The study demonstrated the feasibility of real-time, on-site pesticide monitoring using vibrational spectroscopy. This paper is influential because it moves environmental spectroscopy beyond laboratory analysis, showing how portable FT-IR systems can support regulatory inspections, agricultural management, and environmental protection efforts.

10. Hyphenated LIBS–Raman Spectroscopy for Rapid Molecular and Elemental Characterization of Environmental Microplastics

Recent advances in hyphenated vibrational and plasma-based spectroscopic systems have significantly enhanced the analytical capability for complex environmental samples such as microplastics. In this context, Vasudeva et al conducted a comprehensive performance evaluation of a custom-built hyphenated laser-induced breakdown spectroscopy (LIBS)–Raman platform designed for rapid microplastic characterization.¹⁰ The study directly compared the analytical performance of the integrated system with established gold-standard techniques, including ATR-FTIR spectroscopy, confocal Raman microscopy, and scanning electron microscopy–energy dispersive X-ray spectroscopy (SEM–EDS). Raman measurements within the combined system successfully identified major polymer classes such as polyethylene, polypropylene, and polyethylene terephthalate, with results independently confirmed by both confocal Raman and FTIR analyses of identical samples. The LIBS component provided complementary elemental information, detecting surface-associated heavy metals, including aluminum (Al), nickel (Ni), cobalt (Co), and zinc (Zn), along with trace elements such as calcium (Ca) and magnesium (Mg). Cross-validation using SEM–EDS substantiated the presence of these elements on the microplastic surfaces. Importantly, the hyphenated LIBS–Raman approach substantially reduced analysis time and required minimal or no sample preparation, demonstrating strong potential for rapid environmental screening applications. This research is influential because it establishes a practical, multimodal spectroscopic workflow capable of delivering simultaneous molecular and elemental information in a single measurement, advancing rapid field-deployable microplastic analysis.

Final Summary

The 10 papers reviewed here collectively demonstrate how vibrational spectroscopy has evolved into a versatile, data-driven, and field-capable technology for environmental analysis. Advances in multimodal instrumentation, spectral fusion, portable systems, and machine learning have expanded both analytical performance and practical applicability across diverse environmental challenges.

Conclusion

Between 2024 and 2026, near-infrared, FT-IR, and Raman spectroscopy transitioned from primarily laboratory-based analytical tools to integrated, intelligent systems capable of addressing real-world environmental monitoring needs. The influential studies discussed in this article illustrate a clear trajectory toward multimodal sensing, portable deployment, and AI-enabled interpretation, trends that will continue to shape the future of environmental vibrational spectroscopy.

References

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