Development of an inexpensive and rapidly preparable enzymatic pencil graphite biosensor for monitoring of glyphosate in waters

Zambrano-Intriago, Luis Ángel; Amorim, Célia G.; Araújo, Alberto N.; Gritsok, Dmitrij; Rodríguez-Díaz, Joan Manuel; Montenegro, M. C. B. S. M.

doi:10.1016/j.scitotenv.2022.158865

Cited by 15 publications

(4 citation statements)

References 66 publications

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“…Zambrano et al [69] fabricated a horseradish peroxidase enzyme-based biosensor for the detection of glyphosate. The surface of a pencil graphite electrode was cut and washed.…”

Section: (B) Enzyme Biosensorsmentioning

confidence: 99%

Integrating Wireless Remote Sensing and Sensors for Monitoring Pesticide Pollution in Surface and Groundwater

Mutunga,

Sinanovic,

Harrison

2024

Sensors

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Water constitutes an indispensable resource crucial for the sustenance of humanity, as it plays an integral role in various sectors such as agriculture, industrial processes, and domestic consumption. Even though water covers 71% of the global land surface, governments have been grappling with the challenge of ensuring the provision of safe water for domestic use. A contributing factor to this situation is the persistent contamination of available water sources rendering them unfit for human consumption. A common contaminant, pesticides are not frequently tested for despite their serious effects on biodiversity. Pesticide determination in water quality assessment is a challenging task because the procedures involved in the extraction and detection are complex. This reduces their popularity in many monitoring campaigns despite their harmful effects. If the existing methods of pesticide analysis are adapted by leveraging new technologies, then information concerning their presence in water ecosystems can be exposed. Furthermore, beyond the advantages conferred by the integration of wireless sensor networks (WSNs), the Internet of Things (IoT), Machine Learning (ML), and big data analytics, a notable outcome is the attainment of a heightened degree of granularity in the information of water ecosystems. This paper discusses methods of pesticide detection in water, emphasizing the possible use of electrochemical sensors, biosensors, and paper-based sensors in wireless sensing. It also explores the application of WSNs in water, the IoT, computing models, ML, and big data analytics, and their potential for integration as technologies useful for pesticide monitoring in water.

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“…Zambrano et al [69] fabricated a horseradish peroxidase enzyme-based biosensor for the detection of glyphosate. The surface of a pencil graphite electrode was cut and washed.…”

Section: (B) Enzyme Biosensorsmentioning

confidence: 99%

Integrating Wireless Remote Sensing and Sensors for Monitoring Pesticide Pollution in Surface and Groundwater

Mutunga,

Sinanovic,

Harrison

2024

Sensors

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“…Various methods have been used to determine or extract traces of GLP and AMPA from liquids, solids, and plants (Table ). Multimethod approaches, including chromatography, − adsorption-extraction systems, ,,,, optical, ,,− electrochemical, ,,− ,,,− and scanning-probe techniques, immunochemistry, − and microfluidic LOCs ,,− exploit modern GLP-sensitive materials to detect and analyze, as well as to extract and degrade, GLP traces. Hybrid nanomaterials used in these approaches include enzymes (AChE, ESPS), deoxyribonucleic acid (DNA)- or antibody-based aptamers, immune-magnetic conjugates, MIPs, and inorganic materials.…”

Section: Sensors and Separation Systems For Glp Determinationmentioning

confidence: 99%

“…In a recent study, a simple and accurate (pencil graphite electrode)-supported sensor containing an HRP enzyme, immobilized on a multiwalled CNTs (MWCNTs)-doped polysulfone membrane, was devised to detect GLP in the river and drinking water samples. This highly selective sensor was readily applied to the in-field determination of GLP, showing reproducible and repeatable CV and amperometric readouts in the LDCR of 0.1–10 mg/L and the LOD of 0.025 mg/L . Moreover, functionalized single-walled CNT (SWCNT)-based nanomaterials were used in electrochemical GLP sensing by providing transducing layers for water-gated transistor-based sensors.…”

Section: Sensors and Separation Systems For Glp Determinationmentioning

confidence: 99%

“…This highly selective sensor was readily applied to the in-field determination of GLP, showing reproducible and repeatable CV and amperometric readouts in the LDCR of 0.1−10 mg/L and the LOD of 0.025 mg/L. 140 Moreover, functionalized single-walled CNT (SWCNT)-based nanomaterials were used in electrochemical GLP sensing by providing transducing layers for water-gated transistor-based sensors. In particular, GLP was selectively determined with a sensor composed of networks of semiconducting, monochiral (6,5) SWCNTs featured with polyfluorene-bipyridine copolymer and a Cu 2+ -selective membrane.…”

Section: Electrochemical Sensors For Glpmentioning

confidence: 99%

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Glyphosate Separating and Sensing for Precision Agriculture and Environmental Protection in the Era of Smart Materials

Mazuryk

Klepacka

Kutner

et al. 2023

Environ. Sci. Technol.

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The present article critically and comprehensively reviews the most recent reports on smart sensors for determining glyphosate (GLP), an active agent of GLP-based herbicides (GBHs) traditionally used in agriculture over the past decades. Commercialized in 1974, GBHs have now reached 350 million hectares of crops in over 140 countries with an annual turnover of 11 billion USD worldwide. However, rolling exploitation of GLP and GBHs in the last decades has led to environmental pollution, animal intoxication, bacterial resistance, and sustained occupational exposure of the herbicide of farm and companies' workers. Intoxication with these herbicides dysregulates the microbiomegut-brain axis, cholinergic neurotransmission, and endocrine system, causing paralytic ileus, hyperkalemia, oliguria, pulmonary edema, and cardiogenic shock. Precision agriculture, i.e., an (information technology)-enhanced approach to crop management, including a site-specific determination of agrochemicals, derives from the benefits of smart materials (SMs), data science, and nanosensors. Those typically feature fluorescent molecularly imprinted polymers or immunochemical aptamer artificial receptors integrated with electrochemical transducers. Fabricated as portable or wearable lab-on-chips, smartphones, and soft robotics and connected with SM-based devices that provide machine learning algorithms and online databases, they integrate, process, analyze, and interpret massive amounts of spatiotemporal data in a user-friendly and decision-making manner. Exploited for the ultrasensitive determination of toxins, including GLP, they will become practical tools in farmlands and point-of-care testing. Expectedly, smart sensors can be used for personalized diagnostics, real-time water, food, soil, and air quality monitoring, site-specific herbicide management, and crop control.

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The application of multi-walled carbon nanotubes modified pencil graphite electrode for voltammetric determination of favipiravir used in COVID-19 treatment

Karakaya

Dilgin

2023

Monatsh Chem

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This study describes the first application of an improved procedure on a pencil graphite electrode decorated with functionalized multi-walled carbon nanotubes ( f -MWCNTs/PGE) for the determination of the COVID-19 antiviral drug, favipiravir (FVP). The electrochemical behavior of FVP at f-MWCNTs/PGE was examined by cyclic voltammetry and differential pulse voltammetry (DPV) methods, and it was noted that the voltammetric response significantly increased with the modification of f -MWCNTs to the surface. The linear range and limit of detection from DPV studies were determined as 1–1500 µM and 0.27 µM, respectively. In addition, the selectivity of the method was tested toward potential interferences, which can be present in pharmaceutical and biological samples, and it was found that f -MWCNTs/PGE showed high selectivity for the determination of FVP in the presence of probable interferences. The results with high accuracies and precisions from the obtained feasibility studies also revealed that the designed procedure can be used for accurate and selective voltammetric determination of FVP in real samples. Graphical abstract

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Development of an inexpensive and rapidly preparable enzymatic pencil graphite biosensor for monitoring of glyphosate in waters

Cited by 15 publications

References 66 publications

Integrating Wireless Remote Sensing and Sensors for Monitoring Pesticide Pollution in Surface and Groundwater

Integrating Wireless Remote Sensing and Sensors for Monitoring Pesticide Pollution in Surface and Groundwater

Glyphosate Separating and Sensing for Precision Agriculture and Environmental Protection in the Era of Smart Materials

The application of multi-walled carbon nanotubes modified pencil graphite electrode for voltammetric determination of favipiravir used in COVID-19 treatment

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