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

Spectrophotometry: Introduction01:16

Spectrophotometry: Introduction

3.4K
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...
3.4K
UV–Vis Spectrometers01:14

UV–Vis Spectrometers

1.5K
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.
1.5K
Ultraviolet and Visible (UV–Vis) Spectroscopy: Overview01:02

Ultraviolet and Visible (UV–Vis) Spectroscopy: Overview

2.9K
Ultraviolet–visible (UV–visible or UV–Vis) spectroscopy is an analytical technique that investigates the interaction between matter and UV–Vis light within the electromagnetic spectrum. This method is widely used for its versatility, simplicity, and relatively quick data acquisition, making it valuable for both qualitative and quantitative analysis. When UV–Vis radiation passes through a material,  molecules absorb light depending on the energy required for...
2.9K
Atomic Spectroscopy: Absorption, Emission, and Fluorescence01:23

Atomic Spectroscopy: Absorption, Emission, and Fluorescence

1.3K
Atomic spectroscopy is a vital tool in elemental analysis, both qualitatively and quantitatively. It can be broadly divided into optical spectroscopy, mass spectroscopy, and X-ray spectroscopy methods. The optical spectroscopic methods are atomic absorption spectroscopy (AAS), atomic emission spectroscopy (AES), and atomic fluorescence spectroscopy (AFS). The first step in all three methods is atomization, where the solid, liquid, or solution-phase samples are converted into gas-phase atoms and...
1.3K
Atomic Emission Spectroscopy: Overview01:20

Atomic Emission Spectroscopy: Overview

2.5K
Atomic emission spectroscopy (AES) is an analytical technique used to determine the elemental composition of a sample by analyzing the light emitted from excited atoms. In AES, atoms in a sample are excited to higher energy levels by thermal energy from high-temperature sources, such as plasma, arcs, or sparks. When these excited atoms return to lower energy states, they emit light at specific wavelengths characteristic of each element. The resulting atomic emission spectrum, which consists of...
2.5K
UV–Vis Spectroscopy: Woodward–Fieser Rules01:29

UV–Vis Spectroscopy: Woodward–Fieser Rules

25.2K
UV–Visible absorption spectra of conjugated dienes arise from the lowest energy π → π* transitions. The light-absorbing part of the molecule is called the chromophore, and the substituents directly attached to the chromophore are called auxochromes. A strong correlation exists between the absorption maxima, λmax, and the structure of a conjugated π system. The Woodward–Fieser rules predict the value of λmax for a given...
25.2K

You might also read

Related Articles

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

Sort by
Same author

Targeting SLC7A11 to Suppress PI3K/AKT Signaling: Dapagliflozin ameliorates MASH and associated renal injury via ferroptosis inhibition and Liver-Kidney axis regulation.

Biochemical pharmacology·2026
Same author

STUB1 downregulates TOP2A through a dual mechanism of ubiquitination and FOXM1-mediated transcription repression, suppressing breast cancer growth and enhancing sensitivity to chemotherapy.

Cellular & molecular biology letters·2026
Same author

The value of the AAGL staging system for predicting recurrence after conservative surgery for ovarian endometriomas.

Reproductive biology and endocrinology : RB&E·2026
Same author

Drought stress-induced physiological and molecular changes in strawberries: an integrated transcriptomic and metabolomic perspective.

Frontiers in plant science·2025
Same author

Multi-view field deep learning and data augmentation for heavy metals concentrations prediction in marine sediments based on visible and near-infrared spectroscopy.

Marine pollution bulletin·2025
Same author

Label-free fluorescent aptasensor for sensitive detection of oxytetracycline based on CRISPR/Cas12a and G-quadruplex DNAzyme with rhodamine B reporting.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy·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

Related Experiment Video

Updated: Sep 1, 2025

ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis
07:11

ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis

Published on: August 19, 2021

2.6K

A Method to Evaluate Spectral Analysis by Spectroscopy.

Yan Liu1,2, Pingping Fan1,2, Huimin Qiu1,2

  • 1Institute of Oceanographic Instrumentation, Qilu University of Technology, Qingdao 266061, China.

Sensors (Basel, Switzerland)
|August 12, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a new method to evaluate spectral analysis for soil organic carbon (SOC) determination. It found that technical parameters for SOC spectral analysis varied between different spectrometers, with bench-top instruments outperforming portable ones.

Keywords:
detection resolutionorganic carbonsedimentspectral analysisspectrometer

More Related Videos

Using Cyclic Voltammetry, UV-Vis-NIR, and EPR Spectroelectrochemistry to Analyze Organic Compounds
11:44

Using Cyclic Voltammetry, UV-Vis-NIR, and EPR Spectroelectrochemistry to Analyze Organic Compounds

Published on: October 18, 2018

26.7K
Raman and IR Spectroelectrochemical Methods as Tools to Analyze Conjugated Organic Compounds
09:11

Raman and IR Spectroelectrochemical Methods as Tools to Analyze Conjugated Organic Compounds

Published on: October 12, 2018

18.4K

Related Experiment Videos

Last Updated: Sep 1, 2025

ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis
07:11

ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis

Published on: August 19, 2021

2.6K
Using Cyclic Voltammetry, UV-Vis-NIR, and EPR Spectroelectrochemistry to Analyze Organic Compounds
11:44

Using Cyclic Voltammetry, UV-Vis-NIR, and EPR Spectroelectrochemistry to Analyze Organic Compounds

Published on: October 18, 2018

26.7K
Raman and IR Spectroelectrochemical Methods as Tools to Analyze Conjugated Organic Compounds
09:11

Raman and IR Spectroelectrochemical Methods as Tools to Analyze Conjugated Organic Compounds

Published on: October 12, 2018

18.4K

Area of Science:

  • Geochemistry
  • Analytical Chemistry
  • Spectroscopy

Background:

  • Visible and near-infrared spectroscopy is commonly used for rapid soil organic carbon (SOC) determination.
  • Existing research focuses on spectral model development, often overlooking method evaluation metrics like detection range, resolution, and error.

Purpose of the Study:

  • To propose and demonstrate a novel method for evaluating the spectral analysis of soil organic carbon (SOC).
  • To assess the performance of different spectrometers in SOC spectral analysis using defined technical parameters.

Main Methods:

  • Collected spectral reflectance data from 96 sediment samples using three spectrometers: Agilent Cary 5000, ASD FieldSpec 4, and Ocean Optics QEPro.
  • Established three spectral models for SOC prediction.
  • Developed evaluation parameters: detection range, detection resolution, and detection error, based on predicted SOC concentration distribution curves.

Main Results:

  • Technical parameters for SOC spectral analysis were superior in the bench-top spectrometer (Cary 5000) compared to portable units.
  • The Ocean Optics QEPro demonstrated a broader detection range and more consistent detection error than the ASD FieldSpec 4.
  • The low-cost QEPro showed comparable performance to the high-cost FieldSpec 4 for SOC spectral analysis.

Conclusions:

  • The proposed method effectively evaluates spectral analysis for SOC determination.
  • Spectrometer type significantly impacts the reliability of SOC spectral analysis parameters.
  • This evaluation framework supports the advancement of spectroscopic methods for soil and sediment analysis.