Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Infrared (IR) Spectroscopy: Overview

Infrared (IR) Spectroscopy: Overview

When electromagnetic radiation passes through a material, atoms or molecules transition from a lower to a higher energy state by absorbing radiation corresponding to the energy difference between the two states. The absorption of infrared (IR) radiation causes transitions between vibrational energy levels in a molecule. Therefore, IR spectroscopy is a useful analytical tool for determining the molecular structure of molecules.
Different compounds display unique properties due to their...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Spectral level repulsion and Lifshitz-like states in hyperuniform disordered photonic networks.

Light, science & applications·2026

Same author

Application-Specific Optimization of Integrated Spectral Sensors.

ACS photonics·2025

Same author

Beyond Spectral Resolution in Nanophotonic Sensing: Picometer-Level Precision with Multispectral Readout.

ACS nano·2025

Same author

Design and characterization of a compact complementary metal-oxide-semiconductor (CMOS) based soft x-ray transmission grating spectrometer with application to laser-produced plasmas.

The Review of scientific instruments·2025

Same author

Nano-optomechanical fiber-tip sensing.

Npj nanophotonics·2025

Same author

Integrated Spectral Sensitivity as Physics-Based Figure of Merit for Spectral Transducers in Optical Sensing.

Sensors (Basel, Switzerland)·2025

Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026

Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026

Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026

Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026

Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026

Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jan 17, 2026

A Multimodal Wide-Field Fourier-Transform Raman Microscope

A Multimodal Wide-Field Fourier-Transform Raman Microscope

Published on: December 30, 2025

Material Sensing with Spatial and Spectral Resolution Based on an Integrated Near-Infrared Spectral Sensor and a CMOS

Ben Delaney¹, Sjors Buntinx¹, Don M J van Elst¹

¹Department of Applied Physics, Eindhoven Hendrik Casimir Institute, Eindhoven University of Technology, P.O. Box 513NL, 5600 MB Eindhoven, The Netherlands.

Sensors (Basel, Switzerland)

|September 19, 2025

Summary

This summary is machine-generated.

This study introduces a novel standoff material sensing system. It combines visible imaging with targeted near-infrared (NIR) spectral measurements for efficient chemical characterization, demonstrated for plastic classification in recycling.

Keywords:

integrated photonics material classification near infrared spectral sensing

More Related Videos

Biomolecular Detection employing the Interferometric Reflectance Imaging Sensor IRIS

Biomolecular Detection employing the Interferometric Reflectance Imaging Sensor IRIS

Published on: May 3, 2011

A Silicon-tipped Fiber-optic Sensing Platform with High Resolution and Fast Response

A Silicon-tipped Fiber-optic Sensing Platform with High Resolution and Fast Response

Published on: January 7, 2019

Related Experiment Videos

Last Updated: Jan 17, 2026

A Multimodal Wide-Field Fourier-Transform Raman Microscope

A Multimodal Wide-Field Fourier-Transform Raman Microscope

Published on: December 30, 2025

Biomolecular Detection employing the Interferometric Reflectance Imaging Sensor IRIS

Biomolecular Detection employing the Interferometric Reflectance Imaging Sensor IRIS

Published on: May 3, 2011

A Silicon-tipped Fiber-optic Sensing Platform with High Resolution and Fast Response

A Silicon-tipped Fiber-optic Sensing Platform with High Resolution and Fast Response

Published on: January 7, 2019

Area of Science:

Spectroscopy
Material Science
Remote Sensing

Background:

Material composition analysis is crucial for industrial monitoring, recycling, agriculture, and environmental applications.
Spectral imaging offers combined spatial and spectral data but faces cost barriers, especially for near-infrared (NIR) applications due to expensive detector arrays.
Existing visible multispectral imaging (MSI) solutions are cost-effective due to silicon detector availability.

Purpose of the Study:

To develop a cost-effective standoff material sensing system that bridges the gap in NIR spectral imaging.
To enable chemical characterization of materials without full spectral imaging hardware.
To demonstrate the system's utility in practical applications like plastic classification.

Main Methods:

A novel concept combining spatial imaging in the visible spectrum using a CMOS camera with point-based NIR spectral measurements.
Utilizing a dedicated NIR spectral sensor for targeted spectral data acquisition.
Implementing the system in a standoff configuration for non-contact material analysis.

Main Results:

The system successfully performed chemical characterization of materials from a distance.
Demonstrated capability in classifying visually identical plastics of different types in a standoff setup.
Enabled spectral measurements at up to 100 distinct points within a scene.

Conclusions:

The developed system offers a viable alternative to traditional spectral imaging for standoff material sensing.
This approach reduces hardware costs associated with NIR spectral imaging.
The technology shows significant potential for applications in recycling and industrial process monitoring.