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<p>Methanol is an unstable, transparent, and hazardous substance frequently utilized in pharmaceutical materials, antifreeze, and applications in industry. On the contrary, ethanol is often found as an antibacterial, an automotive additive, as well as in alcohol-based drinks. Distinguishing between both of these alcoholic substances is necessary because of the substantial negative health effects resulting from methanol consumption, whereas ethanol is benign for minimal intake. To address this challenge, we have introduced a Quad-Curve Soft-Angle refractive index biosensor (QCSARIB) simulation study for the detection of acetone, methanol, and ethanol with reference to water. The structural parameter studies have been shown to get better functionality of the biosensor. The achieved superlative sensitivity values of 1866.66&#xa0;nm/RIU, 1800&#xa0;nm/RIU, and 1739.13&#xa0;nm/RIU for detecting acetone, methanol, and ethanol, respectively. A superlative quality factor value is 1825.37&#xa0;nm/RIU, a superlative figure of merit value is 1343.28, and a detection range of 2113.17 for water as a reference fluid. The biosensing techniques have achieved superlative performance with a detection limit of 0.000242 for determining acetone. The parametric optimization is applied to improve the performance of the sensor. This sensor strengthens the ability to identify alcoholic substances and improves security surveillance and quality assurance procedures in industries where chemical substances have widespread biomedical applications.</p>

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Design and Optimization of Surface Plasmon Resonance-Based Non-Invasive Refractive Index Biosensor Using Ag-SiO2 Materials for Alcoholic Beverages Compound Detection

  • 期刊论文

  • 发表日期：

    2025年4月17日

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  • Trupti Kamani,
  • Shobhit K. Patel,
  • Sana Ben Khalifa,
  • Pankaj Pathak,
  • Saleh Chebaane,
  • Marouan Kouki

摘要

Methanol is an unstable, transparent, and hazardous substance frequently utilized in pharmaceutical materials, antifreeze, and applications in industry. On the contrary, ethanol is often found as an antibacterial, an automotive additive, as well as in alcohol-based drinks. Distinguishing between both of these alcoholic substances is necessary because of the substantial negative health effects resulting from methanol consumption, whereas ethanol is benign for minimal intake. To address this challenge, we have introduced a Quad-Curve Soft-Angle refractive index biosensor (QCSARIB) simulation study for the detection of acetone, methanol, and ethanol with reference to water. The structural parameter studies have been shown to get better functionality of the biosensor. The achieved superlative sensitivity values of 1866.66 nm/RIU, 1800 nm/RIU, and 1739.13 nm/RIU for detecting acetone, methanol, and ethanol, respectively. A superlative quality factor value is 1825.37 nm/RIU, a superlative figure of merit value is 1343.28, and a detection range of 2113.17 for water as a reference fluid. The biosensing techniques have achieved superlative performance with a detection limit of 0.000242 for determining acetone. The parametric optimization is applied to improve the performance of the sensor. This sensor strengthens the ability to identify alcoholic substances and improves security surveillance and quality assurance procedures in industries where chemical substances have widespread biomedical applications.