Nondestructive Analysis
Nondestructive Analysis - Related Videos
10:25
Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements
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Cited by 1 •
2016
We present here a protocol to construct and validate models for nondestructive prediction of total sugar, total organic acid, and total anthocyanin content in individual blueberries by near-infrared spectroscopy.
07:17
Deploying Community Scientists to Conduct Nondestructive Genetic Sampling of Rare Butterfly Populations
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Cited by 1 •
2022
Here, we present a straightforward protocol for noninvasive genetic sampling of butterfly populations based on the field collection of residual egg debris. It can be used to confirm species identity and quantify genetic variation. This protocol can be easily adapted to broader groups for community science involvement.
14:11
Quantification of Hydrogen Concentrations in Surface and Interface Layers and Bulk Materials through Depth Profiling with Nuclear Reaction Analysis
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Cited by 21 •
2016
We illustrate the application of 1H(15N,αγ)12C resonant nuclear reaction analysis (NRA) to quantitatively evaluate the density of hydrogen atoms on the surface, in the volume, and at an interfacial layer of solid materials. The near-surface hydrogen depth profiling of a Pd(110) single crystal and of SiO2/Si(100) stacks is described.
11:12
Nondestructive Monitoring of Degradable Scaffold-Based Tissue-Engineered Blood Vessel Development Using Optical Coherence Tomography
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Cited by 4 •
2018
A step by step protocol for nondestructive and long-period monitoring the process of vascular remodeling and scaffold degradation in real-time culture of biodegradable polymeric scaffold-based tissue-engineered blood vessels with pulsatile stimulation using optical coherence tomography is described here.
07:51
Measurements of Soil Carbon by Neutron-Gamma Analysis in Static and Scanning Modes
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Cited by 8 •
2017
Here, we present the protocol for in situ measurement of soil carbon using the neutron-gamma technique for single point measurements (static mode) or field averages (scanning mode). We also describe system construction and elaborate data treatment procedures.
FAQs
Interpretation depends on linking a measured response to established chemical properties. An analytical signal by itself is an observation; its meaning comes from how absorbed, emitted, reflected, or scattered radiation, or another physical signal, corresponds to composition, structure, or condition. This relationship lets chemists turn a preserved specimen’s response into an evidence-based characterization.
Different signal types provide complementary views of a material. Absorption records how the sample takes in electromagnetic radiation, whereas emission, reflection, and scattering describe other ways the sample responds. Selecting among these responses depends on whether the investigation focuses on chemical composition, structure, or condition, so the measurement is aligned with the analytical question.
A useful result depends on matching the measured response to the property being investigated and interpreting it against known chemical properties. The same general strategy can support identification, condition assessment, or composition characterization, but the relevant signal and comparison must fit the material and question. This alignment helps prevent an isolated response from being treated as a complete conclusion.
Repeat measurement preserves the original specimen for further testing while allowing its composition, structure, or condition to be monitored over time. This is especially important when material is scarce, historically significant, or otherwise difficult to replace. The ability to revisit the same sample supports conservation decisions and reduces waste associated with repeated analytical work.
A practical workflow begins by identifying whether the goal is to characterize composition, structure, or condition. The analyst then selects a suitable physical response, records the signal from the specimen, and relates that response to known chemical properties. The resulting interpretation can support identification or assessment without preventing subsequent examination of the same material.
In quality control, these methods can provide rapid information about a material or product while leaving the tested specimen available for additional checks. Signals are interpreted in relation to known chemical properties, allowing analysts to characterize composition or condition and make timely decisions. Preserving the sample also helps reduce material loss during routine evaluation.
Conservation work often concerns materials that are valuable, unique, or irreplaceable. Measuring responses from such specimens without cutting, consuming, or otherwise altering them helps characterize their composition, structure, or condition while preserving the object. The same specimen can then remain available for further testing or repeated monitoring as conservation needs change.
Nondestructive analysis can support timely monitoring by measuring a physical response and relating changes in that response to known chemical properties. Because the specimen remains available, analysts can examine it repeatedly rather than relying on a one-time, sample-consuming test. This makes the approach relevant when tracking changing composition, structure, or condition during chemical work.