Rapid Detection of SARS-CoV-2 Nucleocapsid Protein by a Label-Free Biosensor Based on Optical Fiber Cylindrical Micro-Resonator

Xia, Ru-Lei; Liu, Bin; Hu, Yingying; Liu, Juan; Fu, Yue; He, Xiaodong; Lü, Ping; Farrell, Gerald; Yuan, Jinhui; Wu, Qiang

doi:10.1109/jsen.2023.3274110

Cited by 3 publications

(2 citation statements)

References 38 publications

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“…Whispering gallery modes (WGMs), also known as morphology-dependent resonances (MDRs) [5], have a long and varied history in mediating processes in optical microcavities, from aerosol chemistry [6][7][8][9] to lasers [10][11][12] to innovative sensor platforms [13][14][15][16][17]. These resonances emerge from Mie's solution to the problem of the light scattering of a plane wave by a sphere [18].…”

Section: The Whispering Gallery Mode Biosensormentioning

confidence: 99%

Spatial Multiplexing of Whispering Gallery Mode Sensors

Holler

Speck

2023

Sensors

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Whispering gallery mode resonators have proven to be robust and sensitive platforms for the trace detection of chemical and/or biological analytes. Conventional approaches using serially addressed resonators face challenges in simultaneous multi-channel (i.e., multi-species) detection. We present an alternative monitoring scheme that allows for the spatial multiplexing of whispering gallery mode resonators with the simultaneous observation of the resonance spectra from each of them. By imaging arrays of microspheres and monitoring the glare spot intensities through image processing routines, resonance spectra from multiple resonators may be simultaneously recorded without interference or confounding effects of serial excitation/detection. We demonstrate our multiplexed imaging approach with bulk refractive index variations and virus–antibody binding.

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Section: The Whispering Gallery Mode Biosensormentioning

confidence: 99%

Spatial Multiplexing of Whispering Gallery Mode Sensors

Holler

Speck

2023

Sensors

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“…The concentration of CEACAM5 in the blood can predict cancer and monitor the treatment, progression, and prognosis of cancer [1][2][3]. In recent years, with the maturation of optical fiber manufacturing processes and a reduction of cost, a large number of optical fiber biosensors have been designed and utilized [4][5][6]. Optical fiber sensors have advantages such as their small size, light weight, and immunity to electromagnetic interference, which are extraordinarily suitable for monitoring label-free tumor biomarkers [7,8].…”

Section: Introductionmentioning

confidence: 99%

A Multimode Microfiber Specklegram Biosensor for Measurement of CEACAM5 through AI Diagnosis

Liu,

Lin,

Zhao

et al. 2024

Biosensors

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Carcinoembryonic antigen (CEACAM5), as a broad-spectrum tumor biomarker, plays a crucial role in analyzing the therapeutic efficacy and progression of cancer. Herein, we propose a novel biosensor based on specklegrams of tapered multimode fiber (MMF) and two-dimensional convolutional neural networks (2D-CNNs) for the detection of CEACAM5. The microfiber is modified with CEA antibodies to specifically recognize antigens. The biosensor utilizes the interference effect of tapered MMF to generate highly sensitive specklegrams in response to different CEACAM5 concentrations. A zero mean normalized cross-correlation (ZNCC) function is explored to calculate the image matching degree of the specklegrams. Profiting from the extremely high detection limit of the speckle sensor, variations in the specklegrams of antibody concentrations from 1 to 1000 ng/mL are measured in the experiment. The surface sensitivity of the biosensor is 0.0012 (ng/mL)−1 within a range of 1 to 50 ng/mL. Moreover, a 2D-CNN was introduced to solve the problem of nonlinear detection surface sensitivity variation in a large dynamic range, and in the search for image features to improve evaluation accuracy, achieving more accurate CEACAM5 monitoring, with a maximum detection error of 0.358%. The proposed fiber specklegram biosensing scheme is easy to implement and has great potential in analyzing the postoperative condition of patients.

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