Near-infrared spectroscopy combined with principal components analysis and a back propagation neural network identified Huanglongbing-infected Gannan navel orange leaves with an overall accuracy of 98.75%, outperforming LDA, KNN, and SVM models.
|Articles|November 23, 2010
New Estimation Model for the Analysis of Biological Samples
Author(s)Robert Moreschi
Scientists from the Rollins School of Public Health at Emory University (Atlanta, Georgia) have developed a new estimation model for the analysis of biological samples through liquid chromatography-mass spectrometry.
Advertisement
Scientists from the Rollins School of Public Health at Emory University (Atlanta, Georgia) have developed a new estimation model for the analysis of biological samples through liquid chromatography-mass spectrometry.
The new statistical method, created by Tianwei Yu and Hesen Peng, demonstrates that peak modeling represents a core component in processing data for LC-MS studies.
“To accurately quantify partially overlapping peaks, we developed a deconvolution method using the bi-Gaussian mixture model combined with statistical model selection,” they write in their report.
This new method allows LC-MS a way to quantify metabolites, which in turn enables more complex biological samples to be analyzed. The model created by Yu and Peng was developed by carrying out an extensive series of simulations, along with the testing of real-world samples.
Advertisement
Related to this article
Top articles include an examination of the current trends propelling atomic spectroscopy forward and post-conference coverage of the 2026 SciX show in Sparks, Nevada.
In this Q&A, we recap the October edition of “What’s Nu,” which covered topics such as how novel spectroscopic and analytical methods are transforming environmental monitoring, medical treatment, and accessibility in scientific research.
In this Q&A article, we highlight several prominent researchers being recognized at the 2026 SciX Conference for their significant contributions to spectroscopy and photonics and discuss what these researchers talked about at the conference.
Amy Colleran, a Postdoctoral Researcher in the Centre of Metabolomics Research at the University of Liverpool, is exploring how to detect volatile organic compounds by bubbling them directly into colloidal silver and gold nanoparticles.
The Eastern Analytical Symposium returns to Plainsboro, New Jersey, November 16–18, with a keynote on AI-ready data and a posthumous award honoring solid-state NMR researcher Robert Schurko.
In this segment of our SciX interview with Kevin Wilkinson, a professor of environmental chemistry at the Université de Montréal, discusses extending lead isotope work to greater distances and explains why graduate students need adaptability, critical judgment, and coding skills more than expertise in any single instrument.
Atomic spectroscopy has quietly gone from counting elements in bulk to counting single nanoparticles, imaging tissue at the micrometer scale, and reading Martian rocks from several meters away. The instruments got smaller, the software got smarter, and the questions they can now answer got a lot more interesting.
Advertisement
Advertisement
Trending on Spectroscopy Online
1
Near-Infrared Spectroscopy with Data Analysis Model for Rapid Identification of Huanglongbing in Gannan Navel Orange
2
The ICP-MS Issue 2026
3
What Were Some of the Key Topics Discussed at SciX 2026?
4
Atoms Don't Lie: Inside the Quiet Revolution Remaking Atomic Spectroscopy
5