A review of NDE techniques for hydrogels

Potukuchi, Sasidhar; Chinthapenta, Viswanath; Raju, Gangadharan

doi:10.1080/10589759.2022.2144304

Cited by 18 publications

(1 citation statement)

References 124 publications

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“…Chen et al introduced microfluidic into the fiber optic speckle sensing system and detected single-stranded DNA on the order of 10 −16 M in 60 min [19]. Gangadharan et al systematically discussed the possibility of the nondestructive testing of hydrogels [20], which played a leading role in flexible biosensor detection. Additionally, Monika et al proposed a deep learning model in IoT systems [21], which has a good demonstration effect in the field of sensor detection.…”

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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Section: Introductionmentioning

confidence: 99%