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<p>High intake of full-fat milk can lead to serious health consequences, particularly concerning cardiovascular health. The high fat content can cause an imbalance in weight and can cause lifestyle-related disorders such as obesity and heart disease. Therefore, an accurate determination of the level of milk fat is necessary to ensure the health of the general population and nutritional safety. Against this background, the current work proposes a very effective surface plasmon resonance sensing (SPR) strategy that can be utilized to measure fat levels in milk. This sensor would be made according to the Kretschmann configuration owing to its sensitivity in the detection of surface plasmon using evanescent waves at the metal dielectric interface. To improve the sensing structure, thallium arsenic selenide and superlative two-dimensional (2D) materials are used. A transfer matrix method (TMM) combined with the angular interrogation (AI) technique was used at the operating wavelength of 633&#xa0;nm to determine the sensor performance. The engineered structure yields better results as it reached a maximum sensitivity of 378.36°/RIU, QF of 79.14/RIU, and DA of 1.848. These results indicate a huge improvement over those of earlier described SPR sensor designs, thereby validating the working efficiency of the suggested model in real-life detection of milk fats.</p>

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Design and Analysis of BlueP/TMDCs Heterostructure-Based SPR Sensor For Accurate Detection of Fat Content in Milk

  • 期刊论文

  • 发表日期：

    2025年9月11日

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  • Jyothsna Vaadaala,
  • Ragini Singh,
  • Yesudasu Vasimalla,
  • Santosh Kumar

摘要

High intake of full-fat milk can lead to serious health consequences, particularly concerning cardiovascular health. The high fat content can cause an imbalance in weight and can cause lifestyle-related disorders such as obesity and heart disease. Therefore, an accurate determination of the level of milk fat is necessary to ensure the health of the general population and nutritional safety. Against this background, the current work proposes a very effective surface plasmon resonance sensing (SPR) strategy that can be utilized to measure fat levels in milk. This sensor would be made according to the Kretschmann configuration owing to its sensitivity in the detection of surface plasmon using evanescent waves at the metal dielectric interface. To improve the sensing structure, thallium arsenic selenide and superlative two-dimensional (2D) materials are used. A transfer matrix method (TMM) combined with the angular interrogation (AI) technique was used at the operating wavelength of 633 nm to determine the sensor performance. The engineered structure yields better results as it reached a maximum sensitivity of 378.36°/RIU, QF of 79.14/RIU, and DA of 1.848. These results indicate a huge improvement over those of earlier described SPR sensor designs, thereby validating the working efficiency of the suggested model in real-life detection of milk fats.