Facile Zinc Oxide Nanoparticle Green Synthesis Using Citrus reticulata Extract for Use in Optoelectronic Sensors

Luque, P.A.; Nava, O.; Romo-Cárdenas, Gerardo Salvador; Hipólito, Juan Iván Nieto; Valdez, Karla; Sanchez-Lopez, Juan de Dios; Murrieta-Rico, Fabián N.

doi:10.1109/jsen.2020.3011988

Cited by 13 publications

(4 citation statements)

References 34 publications

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“…From electrical impedance data, the electrical complex relative permittivity can be obtained [26]. With the aim of comparing the electrical data with the optical data, the relative electrical permittivity is presented in Figure 6d-f. As is observed, for each case, both real and imaginary parts have almost constant values.…”

Section: Electrochemical Impedance Spectroscopymentioning

confidence: 99%

Frequency Response Analysis of FAU, LTA and MFI Zeolites Using UV-Vis and Electrochemical Impedance Spectroscopy

Murrieta-Rico,

Antúnez-García,

Yocupicio-Gaxiola

et al. 2023

Optics

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Zeolites are porous materials that have cavities interconnected by channels. These crystalline materials are composed of Si-O tetrahedral structures, and according to the assembly of such tetrahedral structures, specific crystalline structures are obtained. Until now, it has been said that there are more than 245 different zeolitic frameworks, and since each one has a specific distribution of pores and cavities, each kind of zeolite has a specific area-to-volume ratio. As a result of the type of zeolite structure, the zeolite can exhibit specific properties, i.e., electrical or optical. Moreover, the physical properties of zeolites can be modified after the inclusion of another chemical species in their structure or in their voids, which can result in tuning a zeolite for specific applications. In this work, synthetic zeolites of types LTA, FAU and MFI are characterized by a number of methods. In particular, the data from UV-Vis spectroscopy are analyzed, and the effect of crystalline structure on properties such as optical bandgap, refractive index, absorption coefficient, incident photon frequency, and extinction coefficient is studied.

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Section: Electrochemical Impedance Spectroscopymentioning

confidence: 99%

Frequency Response Analysis of FAU, LTA and MFI Zeolites Using UV-Vis and Electrochemical Impedance Spectroscopy

Murrieta-Rico,

Antúnez-García,

Yocupicio-Gaxiola

et al. 2023

Optics

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“…Aside from the temporal complexity of ML and DL, many of the technologies used to diagnose these diseases are obsolete or rely on historical data, resulting in significant diagnostic ambiguity. Another issue is the sensitivity of segmentation [Luque, 2020]. High Precision and sensitivity are required to achieve the desired results (RoI).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Deep learning was used by [Adhiwibawa, 2019] to create an image recognition network for agricultural machines. Using deep convolution neural networks, [Maharani, 2021] claims to have improved the detection accuracy of maize leaf disease. The Alex Net and VGG-16 nets were used to identify images, and the results were published in peer-reviewed journals.…”

Section: Disease Identificationmentioning

confidence: 99%

Automatic Detection and Recognition of Citrus Fruit & Leaves Diseases for Precision Agriculture

Saini¹,

Bhatnagar²,

Srivastava³

2022

jucs

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Machine learning is a branch of computer science concerned with developing algorithms & models capable of ‘learning through data and iterations’. Deep learning simulates the structure and function of human organs and diseases using artificial neural networks with more than one hidden layer. The primary purpose of this work is to develop and test computer vision and machine learning algorithms for classifying Huanglongbing (HLB)-infected, healthy, and unhealthy leaves and fruits of the citrus plant. The images were segmented using a normalized graph cut, and texture information was extracted using a co-occurrence matrix. The collected attributes were used for classification and support vector machine (SVM), and deep learning methods were employed. When rating the classification outcomes, the accuracy of the classification and the number of false positives and false negatives were considered. The result shows that Deep Learning could create categories up to 96.8% of HLB-infected leaves and fruits. Despite a broad variance in intensity from leaves collected in North India, this method suggests it could be beneficial in diagnosing HLB.

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“…Dado lo tóxico, costoso y ecológicamente inviable de los métodos convencionales de producción de NPs [32], se ha optado por un enfoque conocido como "síntesis verde". Este tipo de síntesis, permite obtener NPs empleando bacterias [33], algas [34], plantas [35]- [37] y otras fuentes orgánicas. Este tipo de síntesis de NPs mejora la biocompatibilidad y genera una buena respuesta microbicida [38]- [43].…”

Section: Introductionunclassified

Prospects for Further Development of Face Masks to Minimize Pandemics Functionalization of Textile Materials with Biocide Inorganic Nanoparticles: A Review

Yocupicio-Gaxiola

Petranovskii

Sánchez-López

et al. 2021

IEEE Latin Am. Trans.

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Facile Zinc Oxide Nanoparticle Green Synthesis Using Citrus reticulata Extract for Use in Optoelectronic Sensors

Cited by 13 publications

References 34 publications

Frequency Response Analysis of FAU, LTA and MFI Zeolites Using UV-Vis and Electrochemical Impedance Spectroscopy

Frequency Response Analysis of FAU, LTA and MFI Zeolites Using UV-Vis and Electrochemical Impedance Spectroscopy

Automatic Detection and Recognition of Citrus Fruit & Leaves Diseases for Precision Agriculture

Prospects for Further Development of Face Masks to Minimize Pandemics Functionalization of Textile Materials with Biocide Inorganic Nanoparticles: A Review

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Facile Zinc Oxide Nanoparticle Green Synthesis Using Citrus reticulata Extract for Use in Optoelectronic Sensors

Cited by 13 publications

References 34 publications

Frequency Response Analysis of FAU, LTA and MFI Zeolites Using UV-Vis and Electrochemical Impedance Spectroscopy

Frequency Response Analysis of FAU, LTA and MFI Zeolites Using UV-Vis and Electrochemical Impedance Spectroscopy

Automatic Detection and Recognition of Citrus Fruit &amp; Leaves Diseases for Precision Agriculture

Prospects for Further Development of Face Masks to Minimize Pandemics Functionalization of Textile Materials with Biocide Inorganic Nanoparticles: A Review

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Automatic Detection and Recognition of Citrus Fruit & Leaves Diseases for Precision Agriculture