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01:02Flame Photometry: Overview
Flame photometry, also known as flame emission spectrometry, is a technique used for the qualitative and quantitative analysis of elements present in a sample using a flame as the source of excitation energy. The concept of flame photometry was realized in the early 1860s by Kirchhoff and Bunsen, who discovered that specific elements emit characteristic radiation when excited in flames. The first instrument developed for this purpose was used to measure sodium (Na) in plant ash using a Bunsen...
01:16Flame Photometry: Lab
In a flame photometer, when a solution like potassium chloride is aspirated into the flame, the solvent evaporates, leaving behind dehydrated salt. This salt dissociates into free gaseous atoms in their ground state. Some of these atoms absorb energy from the flame, leading to their excitation. The excited atoms return to the ground state, emitting photons at characteristic wavelengths. Because only electronic transitions are involved, the resulting emission lines are very narrow. The intensity...
01:02Ultraviolet and Visible (UV–Vis) Spectroscopy: Overview
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 electronic transitions. As a result...
01:12Modeling and Similitude
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01:05Estimation of the Physical Quantities
On many occasions, physicists, other scientists, and engineers need to make estimates of a particular quantity. These are sometimes referred to as guesstimates, order-of-magnitude approximations, back-of-the-envelope calculations, or Fermi calculations. The physicist Enrico Fermi was famous for his ability to estimate various kinds of data with surprising precision. Estimating does not mean guessing a number or a formula at random. Instead, estimation means using prior experience and sound...
02:16Light Acquisition
In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
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Related Experiment Video
Updated: Jun 16, 2026
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
Dataset describing two reference models for full-spectral lighting and daylight simulations together with
David Geisler-Moroder1, Marshal Maskarenj2, Greg Ward3
1Unit of Energy Efficient Building, University of Innsbruck, Technikerstrasse 13 6020 Innsbruck, Austria.
Data in Brief
|June 15, 2026
Summary
A new dataset offers spectral lighting simulation models for offices and factory halls. This resource supports full-spectral simulations, aiding research on non-visual light effects and enabling reproducible workflows.
Area of Science:
- Building Science
- Illuminating Engineering
- Computational Modeling
Background:
- Accurate lighting simulations are crucial for building design and performance evaluation.
- Evaluating non-visual effects of light requires detailed spectral data.
- Existing simulation tools and datasets may lack comprehensive spectral information.
Purpose of the Study:
- To present a novel dataset of spectral lighting simulation reference models for an office and a factory hall.
- To support full-spectral daylight and electric lighting simulations.
- To facilitate the evaluation of non-visual effects of light and enable reproducible workflows.
Main Methods:
- Developed two spectral lighting simulation reference models (office and factory hall) using Rhino CAD.
- Incorporated comprehensive spectral material, light source, and window system BSDF data.
- Provided example implementations in Radiance and OWL software with prepared input data and scripts.
Main Results:
- The dataset includes detailed geometry, spectral material properties, and BSDF data for windows and blinds.
- Example implementations demonstrate reproducible workflows for spectral simulations.
- Openly available dataset on Zenodo for reuse by researchers, designers, and developers.
Conclusions:
- The presented dataset provides a valuable resource for validating simulation methods and developing new spectral metrics.
- Facilitates the adoption of full-spectral lighting simulations in research and practice.
- Supports advancements in understanding and controlling non-visual effects of light in buildings.