Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

748
IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the...
748
Infrared (IR) Spectroscopy: Overview01:09

Infrared (IR) Spectroscopy: Overview

1.5K
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...
1.5K
Spectrophotometry: Introduction01:16

Spectrophotometry: Introduction

2.9K
Spectrophotometry is the quantitative measurement of the absorption, reflection, diffraction, or transmission of electromagnetic radiation through a material as a function of the intensity and wavelength of the radiation. A spectrophotometer is a device used to measure the change in the radiation intensity caused by its interaction with the material.
The essential components of a spectrophotometer include a source of electromagnetic radiation, a slot for placing a material to be analyzed, and a...
2.9K
UV–Vis Spectrometers01:14

UV–Vis Spectrometers

1.3K
The absorbance of UV and visible (UV–visible) radiations is measured using a UV–visible spectrophotometer. Deuterium lamps, which emit UV radiation, and tungsten lamps, which produce radiation in the visible region, are used as light sources in UV–visible spectrophotometers. A monochromator or prism is used for diffraction grating, i.e., to split the incoming radiation into different wavelengths. A system of slits is used to focus the desired wavelength on the sample cell.
1.3K
Measuring Reaction Rates03:09

Measuring Reaction Rates

24.5K
Polarimetry finds application in chemical kinetics to measure the concentration and reaction kinetics of optically active substances during a chemical reaction. Optically active substances have the capability of rotating the plane of polarization of linearly polarized light passing through them—a feature called optical rotation. Optical activity is attributed to the molecular structure of substances. Normal monochromatic light is unpolarized and possesses oscillations of the electrical...
24.5K
IR Spectrometers01:25

IR Spectrometers

1.1K
There are two main infrared (IR) spectrophotometers: dispersive IR spectrometers and Fourier transform infrared (FTIR) spectrometers. In a dispersive IR spectrometer, a beam of infrared radiation produced by a hot wire is divided into two parallel equal-intensity beams using mirrors. One beam passes through the sample, while another is a reference beam. The beams then move through the monochromator, which separates the radiations into a continuous spectrum of different frequencies. The...
1.1K

You might also read

Related Articles

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

Sort by
Same author

Assessing the impact of implementing circular economy strategies in the construction industry: A case study in the Ruhr Area in Germany.

Waste management (New York, N.Y.)·2026
Same author

Extraction of metallic aluminum from fluidized bed and grate incineration bottom ash.

Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA·2026
Same author

Assessing Melt Flow Rate in Post-Consumer Polypropylene via Near-Infrared Hyperspectral Imaging.

Polymers·2026
Same author

Microbial Community Profiling of Concrete.

Microorganisms·2026
Same author

Effects of surface contamination on automated textile sorting using NIR-spectroscopy.

Waste management (New York, N.Y.)·2025
Same author

The Capability to Undergo ACSL4-Mediated Ferroptosis Is Acquired During Brown-like Adipogenesis and Affected by Hypoxia.

Cells·2025

Related Experiment Video

Updated: Jun 4, 2025

O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression
06:50

O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression

Published on: November 8, 2019

6.5K

Influence of Different Measuring Backgrounds on the Classification of Multilayer Polyolefin Films Using a

Hana Stipanovic1, Patrick Arth1, Gerald Koinig1

  • 1Chair of Waste Processing Technology and Waste Management, Department of Environmental and Energy Process Engineering, Montanuniversitaet Leoben, Leoben, Austria.

Applied Spectroscopy
|December 27, 2024
PubMed
Summary

Classifying thin multilayer plastic films using near-infrared (NIR) spectroscopy is challenging. Metallic backgrounds significantly improve spectral quality and classification accuracy for these materials, reaching 100% experimental accuracy.

Keywords:
NIRNear-infraredhandheldmeasurement backgroundmultilayer plastic filmsplastic wastepolyolefin classification methodspectrometrytransflection

More Related Videos

Author Spotlight: Advances in Nanoscale Infrared Spectroscopy to Explore Multiphase Polymeric Systems
06:54

Author Spotlight: Advances in Nanoscale Infrared Spectroscopy to Explore Multiphase Polymeric Systems

Published on: June 23, 2023

778
Performing Spectroscopy on Plasmonic Nanoparticles with Transmission-Based Nomarski-Type Differential Interference Contrast Microscopy
08:54

Performing Spectroscopy on Plasmonic Nanoparticles with Transmission-Based Nomarski-Type Differential Interference Contrast Microscopy

Published on: June 5, 2019

7.6K

Related Experiment Videos

Last Updated: Jun 4, 2025

O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression
06:50

O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression

Published on: November 8, 2019

6.5K
Author Spotlight: Advances in Nanoscale Infrared Spectroscopy to Explore Multiphase Polymeric Systems
06:54

Author Spotlight: Advances in Nanoscale Infrared Spectroscopy to Explore Multiphase Polymeric Systems

Published on: June 23, 2023

778
Performing Spectroscopy on Plasmonic Nanoparticles with Transmission-Based Nomarski-Type Differential Interference Contrast Microscopy
08:54

Performing Spectroscopy on Plasmonic Nanoparticles with Transmission-Based Nomarski-Type Differential Interference Contrast Microscopy

Published on: June 5, 2019

7.6K

Area of Science:

  • Materials Science
  • Spectroscopy
  • Polymer Chemistry

Background:

  • Low-thickness plastic films present challenges for near-infrared (NIR) spectroscopy due to compromised spectral quality and classification accuracy.
  • Accurate classification of multilayer plastic films, particularly polyolefins, is crucial for material identification and quality control.

Purpose of the Study:

  • To demonstrate the effectiveness of a handheld NIR spectrometer for classifying multilayer polyolefin films.
  • To evaluate the influence of different measuring backgrounds on spectral quality and classification accuracy within the 1596-2396 nm range.

Main Methods:

  • Utilized a handheld NIR spectrometer to analyze multilayer polyolefin films.
  • Assessed the impact of various backgrounds (white tile, Teflon, aluminum, copper, silver, gold) on spectral data and classification performance.
  • Compared theoretical and experimental classification accuracies across different background materials.

Main Results:

  • Metallic backgrounds (aluminum, gold, copper, silver) substantially enhanced spectral quality and classification accuracy.
  • Experimental classification accuracy reached 100% with metallic backgrounds.
  • Teflon background yielded lower experimental accuracy (72.2%) compared to its theoretical potential (96.21%).

Conclusions:

  • Metallic backgrounds are highly effective in improving spectral quality and classification accuracy for thin, multilayer plastic films.
  • Handheld NIR spectroscopy, combined with appropriate backgrounds, offers a viable solution for accurate plastic film analysis.
  • The choice of background material significantly impacts the performance of NIR spectroscopic classification of plastic films.