Cascade reaction system integrating nanozymes for colorimetric discrimination of organophosphorus pesticides

Zhong, Haotian; Xue, Yuting; Zhang, Pengyu; Liu, Bin; Zhang, Xin; Chen, Zhengbo; Li, Kai; Zheng, Lirong; Zuo, Xia

doi:10.1016/j.snb.2021.130810

Cited by 35 publications

(10 citation statements)

References 38 publications

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“…To distinguish various OPs, array-based biosensors can be designed to generate multidimensional data to reveal the difference among OPs according to different sensitivity and selectivity of variants AChE for OPs. 43,44 In addition, CDs exhibit excellent optical stability in high ionic strength (0-1 mM), wide range pH (6.5-8.5) and continuous UV irradiation for 150 min (Fig. S16, ESI †).…”

Section: Selectivity Of Ratiometric Sensor For Parathion-methylmentioning

confidence: 99%

Integrating smartphone-assisted ratiometric fluorescent sensors with in situ hydrogel extraction for visual detection of organophosphorus pesticides

et al. 2022

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Section: Selectivity Of Ratiometric Sensor For Parathion-methylmentioning

confidence: 99%

Integrating smartphone-assisted ratiometric fluorescent sensors with in situ hydrogel extraction for visual detection of organophosphorus pesticides

et al. 2022

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“…Enzymatic reactions have been used to detect low levels of biomolecules as they can convert a weak analyte signal into a strong substrate signal and enhance detection sensitivity through signal amplification. − The reaction of natural enzymes (bioenzymes) is limited by the conditions suitable for enzyme survival, and, therefore, nanoenzymes have been developed. Compared to bioenzyme reactions, nanoenzymes exhibit higher sensitivity and applicability and have been widely reported in the field of bioassays. , Fan et al − report that gold nanoparticles (AuNPs) can mimic the catalytic activity of glucose peroxidase (GOx) and be coupled to horseradish peroxidase (HRP) for sensitive glucose detection.…”

Section: Introductionmentioning

confidence: 99%

Machine Learning-Assisted Nanoenzyme/Bioenzyme Dual-Coupled Array for Rapid Detection of Amyloids

Cheng

et al. 2023

Anal. Chem.

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Array-based sensing methods offer significant advantages in the simultaneous detection of multiple amyloid biomarkers and thus have great potential for diagnosing early-stage Alzheimer's disease. Yet, detecting low concentrations of amyloids remains exceptionally challenging. Here, we have developed a fluorescent sensor array based on the dual coupling of a nanoenzyme (AuNPs) and bioenzyme (horseradish peroxidase) to detect amyloids. Various ss-DNAs were bound to the nanoenzyme for regulating enzymatic activity and recognizing amyloids. A simplified sensor array was generated from a screening model via machine learning algorithms and achieved signal amplification through a two-step enzymatic reaction. As a result, our sensing system could discriminate the aggregation species and aggregation kinetics at 200 nM with 100% accuracy. Moreover, AD model mice and healthy mice were distinguished with 100% accuracy through the sensor array, providing a powerful sensing platform for diagnosing AD.

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“…Currently, methods proposed for the detection of triazophos include chromatography and mass spectrometry, 14−16 which suffer from the need for complex sample pretreatments, sophisticated equipment, and trained personnel. 17 Hence, researchers are devoted to designing facile, low-cost sensors such as biosensors for the rapid analysis of pesticide residues. With improvements in optical and electronic fields, various strategies based on colorimetric, electrochemical, and fluorescence techniques have been reported for pesticide determination.…”

Section: ■ Introductionmentioning

confidence: 99%

“…Currently, methods proposed for the detection of triazophos include chromatography and mass spectrometry, − which suffer from the need for complex sample pretreatments, sophisticated equipment, and trained personnel . Hence, researchers are devoted to designing facile, low-cost sensors such as biosensors for the rapid analysis of pesticide residues.…”

Section: Introductionmentioning

confidence: 99%

Target-Responsive Metal–Organic Framework Nanosystem with Synergetic Sensitive Detection and Controllable Degradation against the Pesticide Triazophos in Contaminated Samples for Environment Assessment and Food Safety

Liu

Zhang

et al. 2023

ACS Appl. Mater. Interfaces

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Developing sensitive practical sensors for monitoring pesticide residues in edible foods and environmental samples is vital for food safety and environmental protection. Enzyme-inhibited biosensors offer effective alternative sensing strategies by using the inherent characteristics of pesticides. To further improve the degradation function of pesticide sensors, here, a target-triggered porphyrin metal–organic framework (MOF)-based nanosystem was designed with the synergetic bifunction of sensitive detection and controllable degradation of the triazophos pesticide. As a result of triazophos-inhibited glutathione consumption, the MOF collapsed and released the ligand porphyrin, leading to the recovery of fluorescence and photosensitization of the free porphyrin. The fluorescence recovery resulted in a sensitive detection limit of 0.6 ng mL–1 for triazophos, which was also applied for the determination of contaminated samples and bioaccumulation in rice. Furthermore, the target-activated photocatalytic ability of porphyrin endowed the system with the ability to effectively generate reactive oxygen species for degrading triazophos with a removal rate of ∼85%, achieving eco-friendly synergetic detection and photodegradation in a controllable way. Therefore, the intelligent multifunctional MOF system demonstrated the potential of programmable systems for jointly controllable tracking and elimination of pesticide residues in the environment and opened a new avenue for designing a precise mechanism for stimulus-triggered degradation of pesticide residues accompanied by sensitive detection for environmental friendliness and food safety.

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Cascade reaction system integrating nanozymes for colorimetric discrimination of organophosphorus pesticides

Cited by 35 publications

References 38 publications

Integrating smartphone-assisted ratiometric fluorescent sensors with in situ hydrogel extraction for visual detection of organophosphorus pesticides

Integrating smartphone-assisted ratiometric fluorescent sensors with in situ hydrogel extraction for visual detection of organophosphorus pesticides

Machine Learning-Assisted Nanoenzyme/Bioenzyme Dual-Coupled Array for Rapid Detection of Amyloids

Target-Responsive Metal–Organic Framework Nanosystem with Synergetic Sensitive Detection and Controllable Degradation against the Pesticide Triazophos in Contaminated Samples for Environment Assessment and Food Safety

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