Abstract
Analytical instruments that can measure small amounts of chemicals in complicated biological samples are often useful as diagnostic tools. However, it can be challenging to optimize these sensors using actual clinical samples, given the heterogeneous background and composition of the test materials. Here we use gas chromatography-differential mobility spectrometry (GC/DMS) to analyze the chemical content of human exhaled breath condensate (EBC). Ultimately, this system can be used for non-invasive disease diagnostics. Many parameters can be adjusted within this instrument system, and we implemented a factorial design-of-experiments to systematically test several combinations of parameter settings while concurrently analyzing effects and interactions. We examined four parameters that affect sensitivity and detection for our instrument, requiring a 24 factorial design. We optimized sensor function using EBC samples spiked with acetone, a known clinical biomarker in breath. Two outputs were recorded for each experiment combination: number of chemicals detected, and the amplitude of acetone signal. Our goal is to find the best parameter combination that yields the highest acetone peak while also preserving the largest number of other chemical peaks in the spectra. By optimizing the system, we can conduct further clinical experiments with our sensor more efficiently and accurately.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 155-161 |
| Number of pages | 7 |
| Journal | Analytica Chimica Acta |
| Volume | 628 |
| Issue number | 2 |
| DOIs | |
| State | Published - Nov 3 2008 |
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Keywords
- Biosensor
- Breath analysis
- Design-of-experiments
- Detection
- Differential mobility spectrometer
ASJC Scopus subject areas
- Biochemistry
- Analytical Chemistry
- Spectroscopy
- Environmental Chemistry
Cite this
Design-of-experiment optimization of exhaled breath condensate analysis using a miniature differential mobility spectrometer (DMS). / Molina, Mary A.; Zhao, Weixiang; Sankaran, Shankar; Schivo, Michael; Kenyon, Nicholas; Davis, Cristina E.
In: Analytica Chimica Acta, Vol. 628, No. 2, 03.11.2008, p. 155-161.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Design-of-experiment optimization of exhaled breath condensate analysis using a miniature differential mobility spectrometer (DMS)
AU - Molina, Mary A.
AU - Zhao, Weixiang
AU - Sankaran, Shankar
AU - Schivo, Michael
AU - Kenyon, Nicholas
AU - Davis, Cristina E
PY - 2008/11/3
Y1 - 2008/11/3
N2 - Analytical instruments that can measure small amounts of chemicals in complicated biological samples are often useful as diagnostic tools. However, it can be challenging to optimize these sensors using actual clinical samples, given the heterogeneous background and composition of the test materials. Here we use gas chromatography-differential mobility spectrometry (GC/DMS) to analyze the chemical content of human exhaled breath condensate (EBC). Ultimately, this system can be used for non-invasive disease diagnostics. Many parameters can be adjusted within this instrument system, and we implemented a factorial design-of-experiments to systematically test several combinations of parameter settings while concurrently analyzing effects and interactions. We examined four parameters that affect sensitivity and detection for our instrument, requiring a 24 factorial design. We optimized sensor function using EBC samples spiked with acetone, a known clinical biomarker in breath. Two outputs were recorded for each experiment combination: number of chemicals detected, and the amplitude of acetone signal. Our goal is to find the best parameter combination that yields the highest acetone peak while also preserving the largest number of other chemical peaks in the spectra. By optimizing the system, we can conduct further clinical experiments with our sensor more efficiently and accurately.
AB - Analytical instruments that can measure small amounts of chemicals in complicated biological samples are often useful as diagnostic tools. However, it can be challenging to optimize these sensors using actual clinical samples, given the heterogeneous background and composition of the test materials. Here we use gas chromatography-differential mobility spectrometry (GC/DMS) to analyze the chemical content of human exhaled breath condensate (EBC). Ultimately, this system can be used for non-invasive disease diagnostics. Many parameters can be adjusted within this instrument system, and we implemented a factorial design-of-experiments to systematically test several combinations of parameter settings while concurrently analyzing effects and interactions. We examined four parameters that affect sensitivity and detection for our instrument, requiring a 24 factorial design. We optimized sensor function using EBC samples spiked with acetone, a known clinical biomarker in breath. Two outputs were recorded for each experiment combination: number of chemicals detected, and the amplitude of acetone signal. Our goal is to find the best parameter combination that yields the highest acetone peak while also preserving the largest number of other chemical peaks in the spectra. By optimizing the system, we can conduct further clinical experiments with our sensor more efficiently and accurately.
KW - Biosensor
KW - Breath analysis
KW - Design-of-experiments
KW - Detection
KW - Differential mobility spectrometer
UR - http://www.scopus.com/inward/record.url?scp=53149084443&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=53149084443&partnerID=8YFLogxK
U2 - 10.1016/j.aca.2008.09.010
DO - 10.1016/j.aca.2008.09.010
M3 - Article
C2 - 18929003
AN - SCOPUS:53149084443
VL - 628
SP - 155
EP - 161
JO - Analytica Chimica Acta
JF - Analytica Chimica Acta
SN - 0003-2670
IS - 2
ER -