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Table 1.

Literature survey of sensors and classification models for e-nose studies.

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Table 1 Expand

Table 2.

Literature survey of gc methods for the quantitation of ethanol in biological matrices.

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Table 2 Expand

Fig 1.

The Electronic Volatile Analyzer (EVA).

(A) Sensor array prototype with parts labeled. (B) A block diagram of key components of the EVA.

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Table 3.

MOX sensors for the electronic volatile analyzer.

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Fig 2.

Example of a temperature profile modulation for MOX sensors for IBM EVA: (i) periodic waveform of heater voltage, expressed as a percentage of the maximum operating voltage recommended by the sensor manufacturer; (ii) corresponding variations in MOX sensor resistance under constant environment.

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Table 4.

Serial dilution of calibration standards.

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Table 5.

Preparation details for QC standards.

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Fig 3.

Chromatograms of (a) blank urine, (b) urine sample spiked with 50 ppm IPA, and (c) urine sample spiked with 10 ppm ethanol and 50 ppm IPA.

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Fig 4.

A representative standard curve.

The y-axis plots the response ratio between the internal standard and the analyte.

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Table 6.

Standard curve equations and their coefficients of determination.

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Table 7.

Within-assay coefficients of variation and mean inaccuracies.

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Table 8.

Between-assay coefficients of variation and mean inaccuracies.

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Fig 5.

Visualization of VOC fingerprints shows different patterns in electrical resistance across calculated sample features for each sensor.

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Fig 6.

Percent change in ethanol concentration after each EVA measurement cycle.

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Table 9.

Classification accuracies from training with the first three cycles.

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Table 9 Expand

Fig 7.

Cross-validation accuracies between days for 90-min and 30-min measurements.

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