Line Shape Fitting

Line shape fitting is a quantitative method for modeling the detailed form of spectral signals to extract chemical and physical information from experimental data. It compares measured spectra with mathematical line-shape models, adjusting parameters such as peak position, intensity, width, and asymmetry until the calculated profile best matches the observation; the selected model can account for effects including overlapping signals, instrumental broadening, and molecular environments. In chemistry, line shape fitting supports analysis of NMR, electronic, vibrational, and other spectroscopic measurements, helping researchers distinguish components, estimate concentrations, characterize interactions, and investigate molecular motion or reaction behavior that simple peak measurement may not resolve.

Line Shape Fitting - Related Videos

Research

JoVE Journal - Bioengineering

Fabrication of a Bioactive, PCL-based "Self-fitting" Shape Memory Polymer Scaffold

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Cited by 33 •

2015

Scaffolds capable of fitting within cranio-maxillofacial (CMF) bone defects while exhibiting osteoconductivity and bioactivity are of interest. This protocol describes the preparation of a shape memory scaffold based on polycaprolactone diacrylate (PCL-DA) using a solvent-casting particulate-leaching (SCPL) method employing a fused salt template and application of a bioactive polydopamine coating.

Education

JoVE Core - Biology

Induced-fit Model

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2019

Most chemical reactions in cells require enzymes—biological catalysts that speed up the reaction without being consumed or permanently changed. They reduce the activation energy needed to convert the reactants into products. Enzymes are proteins, that usually work by binding to a substrate—a reactant molecule that they act upon. Enzymes exhibit substrate specificity, meaning that they can only bind to certain substrates. This is mainly determined by the shape and chemical characteristics of...

Research

JoVE Journal - Biology
Free Sample

A Quantitative Fitness Analysis Workflow

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Cited by 25 •

2012

Quantitative Fitness Analysis (QFA) is a complementary series of experimental and computational methods for estimating microbial culture fitnesses. QFA estimates the effect of genetic mutations, drugs or other applied treatments on microbe growth. Experiments scaling from focussed analysis of single cultures to thousands of parallel cultures can be designed.

Morphometric Analyses of Shape: The Analysis Software Toolbox for Craniofacial Shape Quantification in Zebrafish

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2026

This work describes a protocol for quantifying craniofacial cartilage shape using free software (tpsDigs2, MorphoJ, and PAST) to measure changes in facial structure in zebrafish larvae.

Goodness-of-Fit Test

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2025

The goodness-of-fit test is a type of hypothesis test which determines whether the data "fits" a particular distribution. For example, one may suspect that some anonymous data may fit a binomial distribution. A chi-square test (meaning the distribution for the hypothesis test is chi-square) can be used to determine if there is a fit. The null and alternative hypotheses may be written in sentences or stated as equations or inequalities. The test statistic for a goodness-of-fit test is given as...

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