U-shaped fiber-optic ATR sensor enhanced by silver nanoparticles for continuous glucose monitoring

Li, Dachao; Shan-xin, YU; Sun, Chengjian; Zou, Chongwei; Yu, Haixia

doi:10.1016/j.bios.2015.05.023

Cited by 28 publications

(12 citation statements)

References 35 publications

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“…The absorbance at the five wavelengths correlates well with glucose concentration in the range from 500 mg/L to 5 g/L, and the limit of detection is 38 mg/L. Sensitivity can be enhanced by using a U-shaped fiber-optic ATR sensor coated with silver nanoparticles …”

Section: Sensors For Organic Speciesmentioning

confidence: 98%

Fiber-Optic Chemical Sensors and Biosensors (2013–2015)

2015

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Section: Sensors For Organic Speciesmentioning

confidence: 98%

Fiber-Optic Chemical Sensors and Biosensors (2013–2015)

2015

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“…In the study, the GA is used to optimize the initial weight threshold of the BP neural network, with the general initial weight search replaced by global search, so that the BP algorithm can accurately debug the neural network in the solution space, and search for the global optimal solution [19]. The optimization includes population initialization, fitness function selection, selection operation, crossover operation, and mutation operation [20], as shown in Figure 4.…”

Section: The Bp Neuralmentioning

confidence: 99%

The Identification Nanoparticle Sensor Using Back Propagation Neural Network Optimized by Genetic Algorithm

2021

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This study draws attention towards the application of identification nanoparticle (NPs) sensor based on back propagation (BP) neural network optimized by genetic algorithm (GA) in the early diagnosis of cancer cells. In this study, the traditional and optimized BP neural networks are compared in terms of error between the actual value and the predictive value, and they are further applied to the NP sensor for early diagnosis of cancer cells. The results show that the root mean square (RMS) and mean absolute error (MAE) of the optimized BP neural network are comparatively much smaller than the traditional ones. The particle size of silicon-coated fluorescent NPs is about 105 nm, and the relative fluorescence intensity of silicon-coated fluorescent NPs decreases slightly, maintaining the accuracy value above 80%. In the fluorescence imaging, it is found that there is obvious green fluorescence on the surface of the cancer cells, and the cancer cells still emit bright green fluorescence under the dark-field conditions. In this study, a phenolic resin polymer CMK-2 with a large surface area is successfully combined with Au. NPs with good dielectric property and bioaffinity are selectively bonded to the modified electrode through a sulfur-gold bond to prepare NP sensor. The sensor shows good stability, selectivity, and anti-interference property, providing a new method for the detection of early cancer cells.

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“…In 2015, Li [ 9 ] presented a U-shaped fiber attenuation total internal reflection (ATR) sensor implanted with silver nanoparticles that was used for glucose monitoring. The fiber was formed into a U-bend radius of 2.5 mm to increase its sensitivity, and it was coated with a biocompatible translucent film that could filter many biological elements in interstitial fluid while still allowing glucose molecules to pass through it.…”

Section: Introductionmentioning

confidence: 99%

Glucose Sensor Using U-Shaped Optical Fiber Probe with Gold Nanoparticles and Glucose Oxidase

Chen¹,

Li²,

et al. 2018

Sensors

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In this study, we proposed a U-shaped optical fiber probe fabricated using a flame heating method. The probe was packaged in glass tube to reduce human factors during experimental testing of the probe as a glucose sensor. The U-shaped fiber probe was found to have high sensitivity in detecting the very small molecule. When the sensor was dipped in solutions with different refractive indexes, its wavelength or transmission loss changed. We used electrostatic self-assembly to bond gold nanoparticles and glucose oxidase (GOD) onto the sensor’s surface. The results over five cycles of the experiment showed that, as the glucose concentration increased, the refractive index of the sensor decreased and its spectrum wavelength shifted. The best wavelength sensitivity was 2.899 nm/%, and the linearity was 0.9771. The best transmission loss sensitivity was 5.101 dB/%, and the linearity was 0.9734. Therefore, the proposed U-shaped optical fiber probe with gold nanoparticles and GOD has good potential for use as a blood sugar sensor in the future.

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U-shaped fiber-optic ATR sensor enhanced by silver nanoparticles for continuous glucose monitoring

Cited by 28 publications

References 35 publications

Fiber-Optic Chemical Sensors and Biosensors (2013–2015)

Fiber-Optic Chemical Sensors and Biosensors (2013–2015)

The Identification Nanoparticle Sensor Using Back Propagation Neural Network Optimized by Genetic Algorithm

Glucose Sensor Using U-Shaped Optical Fiber Probe with Gold Nanoparticles and Glucose Oxidase

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