Dr. Peter Harrington
Dr. Peter Harrington, Professor of Chemistry, has not just one but four publications on the top 20 chemical instrumentation articles published since 2009, according to a ranking conducted by BioMedLibTM Journal.
The ranking is for articles in the Domain of Article 19655711. Harrington is Director of the Forensic Chemistry Master of Science Program and Director of the Center for Intelligent Chemical Instrumentation.
“The nature and significance of my scholarship is directed towards the development of intelligent chemical instruments,” says Harrington.
He goes onto say: “All four papers have a common theme of coupling software developed at Ohio University to chemical measurement data to make automatic decisions. Paper #9 was written when I was on a quarter sabbatical at the Université Paul Cézanne in Marseille, France. In this paper, I had developed an automatic background correction method that determined the provenances of French olive oils from their infrared spectra.
“For paper #10, we used a Fuzzy Rule-building Expert System (FuRES) that I had developed at Ohio University to differentiation cancerous and normal tissue samples from their near-infrared spectra. Near-infrared spectrometry provides a noninvasive method for probing tissues, but it is very difficult to interpret, however FuRES is a computer algorithm that chemistry from examples and provided accurate cancer diagnostics.
“Paper #14 used the same algorithm developed in paper #9 and another related background correction method for the detection of cancerous tissue samples. The corresponding author for papers #10 and #14, Professor Zhuoyong Zhang, was a visiting scholar in my group in 2000 and has been a long-time collaborator.
“The last paper #19 was the most recent. This paper was written by my graduate student, Mengliang Zhang, who also was the recent recipient of the Tomas Hirschfeld award given by SCIX. In this work, we developed an automated approach for detecting Aroclors that are hazardous pollutants in soil by using gas chromatography/mass spectrometry.
“In summary, all the work that was recognized is part of the mission statement of the Center for Intelligent Chemical Instrumentation: the development of smart instruments that no longer require scientists to interpret the data but instead provide useful information that others may put to practical use.”
Harrington’s papers are #9, #10, #14 and #18 on the list:
- #9 Automated principal component-based orthogonal signal correction applied to fused near infrared-mid-infrared spectra of French olive oils. Harrington Pde B, Kister J, Artaud J, Dupuy N. Anal Chem; 2009 Sep 1;81(17):7160-9.
- #10 Near infrared spectroscopy combined with least squares support vector machines and fuzzy rule-building expert system applied to diagnosis of endometrial carcinoma. Yang F, Tian J, Xiang Y, Zhang Z, Harrington Pde B. Cancer Epidemiol; 2012 Jun;36(3):317-23.
- #14 An emphatic orthogonal signal correction-support vector machine method for the classification of tissue sections of endometrial carcinoma by near infrared spectroscopy. Zhang J, Zhang Z, Xiang Y, Dai Y, Harrington Pde B. Talanta; 2011 Feb 15;83(5):1401-9.
- #19 Automated pipeline for classifying Aroclors in soil by gas chromatography/mass spectrometry using modulo compressed two-way data objects. Zhang M, Harrington Pde B. Talanta; 2013 Dec 15;117:483-91.
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