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<p>Malaria remains a major global health concern, driving the need for rapid and accurate diagnostics. This study presents a Fiber Bragg Grating (FBG)-based optical biosensor for detecting malarial cells by leveraging the sensitivity of FBGs to refractive index changes induced by malarial biomarkers in blood. High specificity and sensitivity are achieved through a malaria-specific biorecognition layer. Results demonstrate significant differences in the effective refractive index (1.373015–1.402017) and corresponding wavelength shifts (1.44552–1.47605) between malarial and normal cell samples, enabling accurate differentiation. This proposed biosensor offers a real-time, non-invasive, and affordable diagnostic tool with significant potential for malaria management. This label-free, real-time optical detection technique advances malaria diagnosis by potentially surpassing conventional microscopy and certain real-time methods in sensitivity and speed. The sensor’s ability to directly detect infected cell spectral characteristics without complex sample preparation paves the way for portable diagnostics in endemic regions. Furthermore, the multiplexing and integration capabilities of FBG sensors with point-of-care devices offer a distinct advantage over existing techniques.</p>

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Design of FBG-based optical biosensor for the detection of malaria

  • 期刊论文

  • 发表日期：

    2025年5月27日

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  • L. Vincent Raj,
  • Smitha Sasi,
  • P. Rajeswari,
  • B. R. Pushpa,
  • Anju V. Kulkarni,
  • Siddalingappagouda Biradar

摘要

Malaria remains a major global health concern, driving the need for rapid and accurate diagnostics. This study presents a Fiber Bragg Grating (FBG)-based optical biosensor for detecting malarial cells by leveraging the sensitivity of FBGs to refractive index changes induced by malarial biomarkers in blood. High specificity and sensitivity are achieved through a malaria-specific biorecognition layer. Results demonstrate significant differences in the effective refractive index (1.373015–1.402017) and corresponding wavelength shifts (1.44552–1.47605) between malarial and normal cell samples, enabling accurate differentiation. This proposed biosensor offers a real-time, non-invasive, and affordable diagnostic tool with significant potential for malaria management. This label-free, real-time optical detection technique advances malaria diagnosis by potentially surpassing conventional microscopy and certain real-time methods in sensitivity and speed. The sensor’s ability to directly detect infected cell spectral characteristics without complex sample preparation paves the way for portable diagnostics in endemic regions. Furthermore, the multiplexing and integration capabilities of FBG sensors with point-of-care devices offer a distinct advantage over existing techniques.