<![CDATA[Water contamination and volatile compounds can degrade gasoline, so simple screening tools are needed. This study built and tested an Internet of Things (IoT) prototype that combines an MQ3 gas sensor and an analog Total Dissolved Solids (TDS) sensor on an ESP32-C3 Supermini, with an OLED display and automatic logging to Google Sheets. Eight sample groups were each measured in one continuous session: mineral water, 95% alcohol (three stages), Pertalite, Pertamax, and 1:1 (v/v) mixtures of each gasoline with water, giving 425 readings. TDS readings separated pure gasoline (0–5 ppm) from gasoline–water mixtures (68–101 ppm) without overlap, but only at this single ratio; 95% alcohol produced intermittent spikes up to 57 ppm. MQ3 readings differed among groups (Welch ANOVA, exploratory), yet the sensor did not separate 95% alcohol from Pertalite or Pertamax, readings drifted upward within every session, and two stages of the same alcohol differed by 122 ADC. Because each group is a single session with strongly autocorrelated readings, p-values are descriptive. The prototype is a preliminary screening aid for water in gasoline, not a validated measure of fuel quality, ethanol content, or octane number.]]>
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