Development of sensitive and portable immunosensors based on signal amplification probes for monitoring the mercury(II) ions

Ling, Sumei; Dong, Mingke; Xu, Yang; Xu, Aidi; Lin, Jingjing; Mei, Lin; Zhao, Qiang; Wang, Shihua

doi:10.1016/j.bios.2022.114676

Cited by 14 publications

(8 citation statements)

References 35 publications

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“…Based on the previously published paper, a latex microsphere (LM) probe was prepared ( Ling et al, 2022 ). In a nutshell, 15 μL LMs were dissolved in MES activation buffer (1 mL, pH 6.0) and then centrifuged for 10 min at 4°C at 13,000 r/min.…”

Section: Methodsmentioning

confidence: 99%

Sensitive and rapid detection of tetrodotoxin based on gold nanoflower-and latex microsphere-labeled monoclonal antibodies

Huang,

Xu,

et al. 2023

Front. Bioeng. Biotechnol.

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Tetrodotoxin (TTX) could result in serious diseases due to its extremely high neurotoxicity. Thus, it is of great importance to measure TTX for food safety. In this study, an anti-TTX monoclonal antibody with good specificity and high affinity was used to develop the immunochromatographic test strips (ICTS). Gold nanoflower (AuNF) with multiple branches and latex microsphere (LM) with large particle size as signal reporters were employed for improving the sensitivity of test strips. Both AuNF and LM probes are stable, and the developed ICTS were specific to TTX, demonstrating no cross-reactivity with other marine toxins. The linear range of AuNF- and LM-based strips for TTX was 9.49–330.98 ng/mL and 5.40–443.19 ng/mL, respectively. The limit of detection (LOD) of AuNF- and LM-based strips was determined to be 9.49 ng/mL and 5.40 ng/mL, respectively. In summary, the developed ICTS based on AuNF and LM signal probes displayed enhancement of sensitivity and provided rapid and specific detection of TTX.

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Section: Methodsmentioning

confidence: 99%

Sensitive and rapid detection of tetrodotoxin based on gold nanoflower-and latex microsphere-labeled monoclonal antibodies

Huang,

Xu,

et al. 2023

Front. Bioeng. Biotechnol.

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“…With the rapid development of modern industry, coal combustion, batteries, fluorescent lamps, metal smelting, and cement production have increased sharply, resulting in excessive mercury ion (Hg 2+ ) emission and serious harm to the environment. , Particularly, because of its inability to degrade, this hazardous Hg 2+ ends up working its way up the food chain into aquatic species, livestock, and humans, where it will harm cells and possibly cause liver and kidney failure . In addition, sulfide ions (S 2– ) are widely present in the natural environment, primarily from the discharge of waste streams from industrial steps, such as sulfur and sulfuric acid production, dye and cosmetic production, and metal precipitation in wastewater treatment .…”

Section: Introductionmentioning

confidence: 99%

Machine Learning System To Monitor Hg²⁺ and Sulfide Using a Polychromatic Fluorescence-Colorimetric Paper Sensor

Lü

Chen

Liu

et al. 2023

ACS Appl. Mater. Interfaces

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An optical monitoring device combining a smartphone with a polychromatic ratiometric fluorescence-colorimetric paper sensor was developed to detect Hg2+ and S2– in water and seafood. This monitoring included the detection of food deterioration and was made possible by processing the sensing data with a machine learning algorithm. The polychromatic fluorescence sensor was composed of blue fluorescent carbon quantum dots (CDs) (BU-CDs) and green and red fluorescent CdZnTe quantum dots (QDs) (named GN-QDs and RD-QDs, respectively). The experimental results and density functional theory (DFT) prove that the incorporation of Zn can improve the stability and quantum yield of CdZnTe QDs. According to the dynamic and static quenching mechanisms, GN-QDs and RD-QDs were quenched by Hg2+ and sulfide, respectively, but BU-CDs were not sensitive to them. The system colors change from green to red to blue as the concentration of the two detectors rises, and the limits of detection (LOD) were 0.002 and 1.488 μM, respectively. Meanwhile, the probe was combined with the hydrogel to construct a visual sensing intelligent test strip, which realized the monitoring of food freshness. In addition, a smartphone device assisted by multiple machine learning methods was used to text Hg2+ and sulfide in real samples. It can be concluded that the fabulous stability, sensitivity, and practicality exhibited by this sensing mechanism give it unlimited potential for assessing the contents of toxic and hazardous substances Hg2+ and sulfide.

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“…Recently, great efforts have been devoted to establishing nanodevices for detecting disease-related nucleic acids, metal ions, or other small molecules. [4][5][6][7][8][9] Among various nanodevices, DNA aptamerbased sensors have drawn extensive attention due to their high specicity and affinity. 4,10 Despite these achievements, the single-function nature and uncontrollability of the sensors limit their further application.…”

Section: Introductionmentioning

confidence: 99%

Controllable DNA nanodevices regulated by logic gates for multi-stimulus recognition

Jia

Yang

et al. 2023

RSC Adv.

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Development of sensitive and portable immunosensors based on signal amplification probes for monitoring the mercury(II) ions

Cited by 14 publications

References 35 publications

Sensitive and rapid detection of tetrodotoxin based on gold nanoflower-and latex microsphere-labeled monoclonal antibodies

Sensitive and rapid detection of tetrodotoxin based on gold nanoflower-and latex microsphere-labeled monoclonal antibodies

Machine Learning System To Monitor Hg²⁺ and Sulfide Using a Polychromatic Fluorescence-Colorimetric Paper Sensor

Controllable DNA nanodevices regulated by logic gates for multi-stimulus recognition

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Development of sensitive and portable immunosensors based on signal amplification probes for monitoring the mercury(II) ions

Cited by 14 publications

References 35 publications

Sensitive and rapid detection of tetrodotoxin based on gold nanoflower-and latex microsphere-labeled monoclonal antibodies

Sensitive and rapid detection of tetrodotoxin based on gold nanoflower-and latex microsphere-labeled monoclonal antibodies

Machine Learning System To Monitor Hg2+ and Sulfide Using a Polychromatic Fluorescence-Colorimetric Paper Sensor

Controllable DNA nanodevices regulated by logic gates for multi-stimulus recognition

Contact Info

Product

Resources

About

Machine Learning System To Monitor Hg²⁺ and Sulfide Using a Polychromatic Fluorescence-Colorimetric Paper Sensor