A miniaturized photodiode-based chemiluminescence sensor for measurement of fractional exhaled nitric oxide

Zhang, Zhihao; Cang, Huaiwen; Xie, Yuanyuan; Li, Haiyang; Li, Hang

doi:10.1016/j.snb.2023.134402

Cited by 6 publications

(2 citation statements)

References 36 publications

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“…As an alternative, thin-film photodiodes can be implemented into microfluidic systems and they make it possible to reach ultrasensitive detection, reducing the cost of diagnostic platforms. Hydrogenated amorphous silicon (a-Si:H) photodiode arrays [52] and organic photodiodes (OPDs) [53] have been used to develop microfluidic analytical devices for detecting UV absorbance [54], fluorescence [55,56], and CL signals [57][58][59][60][61][62][63][64].…”

Section: Introductionmentioning

confidence: 99%

Easy-to-Use Chemiluminescent-Based Assay for a Rapid and Low-Cost Evaluation of the Antioxidant Activity of Cosmetic Products

Pour,

Calabria,

Nascetti

et al. 2024

Chemosensors

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New cosmetic formulations are continuously requested by the market and the ingredients are constantly evolving. Recently the use of antioxidants has gained success and, in this context, analytical methods able to quickly and easily assess the antioxidant activity of cosmetics would make it possible to carry out analyses on new formulations even within the manufacturing process without the need for specialized laboratories and personnel, thus evaluating directly on-site the effectiveness and the shelf life of products. In this work, a chemiluminescent inhibition assay was developed for determining the total antioxidant activity in cosmetic products. The method was based on the luminol/enhancers/hydrogen peroxide/horseradish peroxidase chemiluminescent system, which generates light signals measurable through simple and compact instrumentation. The formation of the chemiluminescent signal is inhibited by the presence of antioxidant substances while it is restored once all the antioxidant molecules have been oxidized. The time of appearance of the light signal is related to the total antioxidant activity. The assay was carried out exploiting an integrated device comprising a microwell plate coupled with an array of amorphous silicon hydrogenated photosensors enclosed in a mini-dark box. The method was optimized in terms of concentrations and volumes of the required reagents and sample pre-treatment. A calibration curve was generated taking as a reference the antioxidant activity of ascorbic acid obtaining a detection limit of 10 µM. The developed method was applied to cosmetic products currently on the market as well as on spiked samples in order to evaluate the performance of the methods in terms of sensitivity, accuracy, and reproducibility.

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Section: Introductionmentioning

confidence: 99%

Easy-to-Use Chemiluminescent-Based Assay for a Rapid and Low-Cost Evaluation of the Antioxidant Activity of Cosmetic Products

Pour,

Calabria,

Nascetti

et al. 2024

Chemosensors

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show abstract

“…Currently, the common detection methods for gas contain chemical methods and spectroscopic methods. Chemical methods include electrochemical sensors, − chemiluminescent detectors (CLD), − gas chromatography (GC), − and chemiresistive gas sensors. − Among these, the electrochemical sensor is susceptible to other substances in exhaled breath (EB) with a short service life and high maintenance costs. While the CLD is highly sensitive to trace NO gas, it usually requires the use of excessive amounts of a toxic reagent (O 3 ), thereby causing frequent maintenance and calibration.…”

mentioning

confidence: 99%

Ultrasensitive Online NO Sensor Based on a Distributed Parallel Self-Regulating Neural Network and Ultraviolet Differential Optical Absorption Spectroscopy for Exhaled Breath Diagnosis

Zhu,

Gao,

et al. 2024

ACS Sens.

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The concentration of fractional exhaled nitric oxide (FeNO) is closely related to human respiratory inflammation, and the detection of its concentration plays a key role in aiding diagnosing inflammatory airway diseases. In this paper, we report a gas sensor system based on a distributed parallel self-regulating neural network (DPSRNN) model combined with ultraviolet differential optical absorption spectroscopy for detecting ppb-level FeNO concentrations. The noise signals in the spectrum are eliminated by discrete wavelet transform. The DPSRNN model is then built based on the separated multipeak characteristic absorption structure of the UV absorption spectrum of NO. Furthermore, a distributed parallel network structure is built based on each absorption feature region, which is given self-regulating weights and finally trained by a unified model structure. The final self-regulating weights obtained by the model indicate that each absorption feature region contributes a different weight to the concentration prediction. Compared with the regular convolutional neural network model structure, the proposed model has better performance by considering the effect of separated characteristic absorptions in the spectrum on the concentration and breaking the habit of bringing the spectrum as a whole into the model training in previous related studies. Lab-based results show that the sensor system can stably achieve high-precision detection of NO (2.59−750.66 ppb) with a mean absolute error of 0.17 ppb and a measurement accuracy of 0.84%, which is the best result to date. More interestingly, the proposed sensor system is capable of achieving high-precision online detection of FeNO, as confirmed by the exhaled breath analysis.

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Novel Schiff base decorated cyclotriphosphazene chemosensors for Fe and Cu ions detection

Şenkuytu,

Tanrıverdi Eçik

2025

Journal of Molecular Structure

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A miniaturized photodiode-based chemiluminescence sensor for measurement of fractional exhaled nitric oxide

Cited by 6 publications

References 36 publications

Easy-to-Use Chemiluminescent-Based Assay for a Rapid and Low-Cost Evaluation of the Antioxidant Activity of Cosmetic Products

Easy-to-Use Chemiluminescent-Based Assay for a Rapid and Low-Cost Evaluation of the Antioxidant Activity of Cosmetic Products

Ultrasensitive Online NO Sensor Based on a Distributed Parallel Self-Regulating Neural Network and Ultraviolet Differential Optical Absorption Spectroscopy for Exhaled Breath Diagnosis

Novel Schiff base decorated cyclotriphosphazene chemosensors for Fe and Cu ions detection

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