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Mass spectrometry is an important technique for the identification of pure compounds. However, it has some limitations for the analysis of complex mixtures, often due to excessive fragmentation making the spectrum too complicated to decipher. Mass spectrometry can be combined with suitable separation methods in sequence, forming hyphenated methods, which are useful in the analysis of complex mixtures.
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Related Experiment Video

Updated: May 16, 2026

Diffuse Reflectance Spectroscopy: Getting the Capillary Refill Test Under One's Thumb

Diffuse Reflectance Spectroscopy: Getting the Capillary Refill Test Under One's Thumb

Published on: December 2, 2017

[Improving component analysis ability of the complex mixed solutions by multi-dimensional diffuse transmittance

Chan Xiong¹, Ling Lin, Meng-jun Wang

¹State Key Laboratory of Precision Measurement Technology and Instruments, Tianjin University, Tianjin 300072, China. china_xc@163.com

Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu

|November 20, 2012

Summary

This study developed a multi-point diffuse transmittance spectroscopy method for analyzing complex solutions. The technique improved accuracy for strong absorbers like Intralipid and India ink but not weak absorbers like C6H12O6.

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Last Updated: May 16, 2026

Diffuse Reflectance Spectroscopy: Getting the Capillary Refill Test Under One's Thumb

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Agarose-based Tissue Mimicking Optical Phantoms for Diffuse Reflectance Spectroscopy

Agarose-based Tissue Mimicking Optical Phantoms for Diffuse Reflectance Spectroscopy

Published on: August 22, 2018

Area of Science:

Analytical Chemistry
Spectroscopy
Biomedical Optics

Context:

Near-infrared (NIR) spectroscopy is crucial for analyzing complex biological and chemical mixtures.
Traditional methods struggle with highly scattering or absorbing samples.
Developing advanced spectroscopic techniques is essential for accurate component analysis.

Purpose:

To investigate the efficacy of multi-point diffuse transmittance spectroscopy for analyzing complex solutions.
To assess the impact of multiple spectral data points on component concentration prediction accuracy.
To determine the relationship between spectral signal-to-noise ratio and sample properties.

Summary:

A novel device combining a xenon light source, scanning stage, and spectrometer was used to collect diffuse transmittance spectra at 20 points (0-5 mm) from complex mixtures (Intralipid-20%, India ink, C6H12O6).
Partial least squares regression was employed for modeling and prediction of component concentrations.
Results indicated improved modeling and prediction accuracy for Intralipid and India ink with increased data points, while C6H12O6 accuracy did not improve, suggesting enhanced signal-to-noise for strong absorbers.

Impact:

Multi-point spectral collection enhances signal-to-noise ratio for strongly scattering and absorbing substances.
System accuracy improvements are needed for precise analysis of weakly absorbing substances.
This method offers potential for improved quantitative analysis in complex fluid systems.