Relevant bibliographies by topics / Pesticides sensing

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Pesticides sensing'

Author: Grafiati
Published: 10 March 2023

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Journal articles on the topic "Pesticides sensing"

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Kashem, Md Abul, Kazuki Kimoto, Yasunori Iribe, and Masayasu Suzuki. "Development of Microalgae Biosensor Chip by Incorporating Microarray Oxygen Sensor for Pesticides Sensing." Biosensors 9, no. 4 (November 12, 2019): 133. http://dx.doi.org/10.3390/bios9040133.

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A microalgae (Pseudokirchneriella subcapitata) biosensor chip for pesticide sensing has been developed by attaching the immobilized microalgae biofilm pon the microarray dye spots (size 100 μm and pitch 200 μm). The dye spots (ruthenium complex) were printed upon SO3-modified glass slides using a polydimethylsiloxane (PDMS) stamp and a microcontact printer (μCP). Emitted fluorescence intensity (FI) variance due to photosynthetic activity (O2 production) of microalgae was monitored by an inverted fluorescent microscope and inhibition of the oxygen generation rate was calculated based on the FI responses both before and after injection of pesticide sample. The calibration curves, as the inhibition of oxygen generation rate (%) due to photosynthetic activity inhibition by the pesticides, depicted that among the 6 tested pesticides, the biosensor showed good sensitivity for 4 pesticides (diuron, simetryn, simazine, and atrazine) but was insensitive for mefenacet and pendimethalin. The detection limits were 1 ppb for diuron and 10 ppb for simetryn, simazine, and atrazine. The simple and low-cost nature of sensing of the developed biosensor sensor chip has apparently created opportunities for regular water quality monitoring, where pesticides are an important concern.
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Nansen, Christian, Rachel Purington, and Machiko Murdock. "Using Advanced Optical Sensing to Quantify Phytotoxicity in Ornamental Plants." HortTechnology 31, no. 4 (August 2021): 532–34. http://dx.doi.org/10.21273/horttech04866-21.

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Ornamental crop production systems face low tolerance of aesthetic crop damage by consumers and during exports by quarantine inspection entities. Consequently, development and testing of pesticide applications on ornamental crops involve two equally important assessments: 1) demonstrate the ability of pesticides to suppress target pest populations significantly and 2) minimize risks of applied pesticides causing phytotoxicity of leaves, shoots, and flowers. To maximize the accuracy and repeatability of phytotoxicity assessments, it is paramount that methods of detection and diagnosis that are rapid, repeatable, and quantitative be developed and promoted. We performed visual phytotoxicity inspection of three ornamental plants [zinnia (Zinnia elegans), marigold (Tagetes patula), and gerbera (Gerbera sp.)] to a numbered compound applied at three doses. The same plants were also subjected to optical (remote) sensing and classified as having either no or low phytotoxicity response. Although results from visual inspections suggested very low levels of phytotoxicity, 32 of 40 plants (80%) were classified correctly based on optical sensing. Importantly, classified plants showed no significant morphometric differences. We provide proof-of-concept results that optical sensing may be used to detect accurately even highly subtle stress responses by ornamental plants to high doses of foliar pesticides.
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Skotadis, Evangelos, Aris Kanaris, Evangelos Aslanidis, Nikos Kalatzis, Fotis Chatzipapadopoulos, Nikolaos Marianos, and Dimitris Tsoukalas. "Identification of Two Commercial Pesticides by a Nanoparticle Gas-Sensing Array." Sensors 21, no. 17 (August 28, 2021): 5803. http://dx.doi.org/10.3390/s21175803.

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This study presents the experimental testing of a gas-sensing array, for the detection of two commercially available pesticides (i.e., Chloract 48 EC and Nimrod), towards its eventual use along a commercial smart-farming system. The array is comprised of four distinctive sensing devices based on nanoparticles, each functionalized with a different gas-absorbing polymeric layer. As discussed herein, the sensing array is able to identify as well as quantify three gas-analytes, two pesticide solutions, and relative humidity, which acts as a reference analyte. All of the evaluation experiments were conducted in close to real-life conditions; specifically, the sensors response towards the three analytes was tested in three relative humidity backgrounds while the effect of temperature was also considered. The unique response patterns generated after the exposure of the sensing-array to the two gas-analytes were analyzed using the common statistical analysis tool Principal Component Analysis (PCA). The sensing array, being compact, low-cost, and highly sensitive, can be easily integrated with pre-existing crop-monitoring solutions. Given that there are limited reports for effective pesticide gas-sensing solutions, the proposed gas-sensing technology would significantly upgrade the added-value of the integrated system, providing it with unique advantages.
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Zhu, Hengjia, Peng Liu, Lizhang Xu, Xin Li, Panwang Hu, Bangxiang Liu, Jianming Pan, Fu Yang, and Xiangheng Niu. "Nanozyme-Participated Biosensing of Pesticides and Cholinesterases: A Critical Review." Biosensors 11, no. 10 (October 9, 2021): 382. http://dx.doi.org/10.3390/bios11100382.

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To improve the output and quality of agricultural products, pesticides are globally utilized as an efficient tool to protect crops from insects. However, given that most pesticides used are difficult to decompose, they inevitably remain in agricultural products and are further enriched into food chains and ecosystems, posing great threats to human health and the environment. Thus, developing efficient methods and tools to monitor pesticide residues and related biomarkers (acetylcholinesterase and butylcholinesterase) became quite significant. With the advantages of excellent stability, tailorable catalytic performance, low cost, and easy mass production, nanomaterials with enzyme-like properties (nanozymes) are extensively utilized in fields ranging from biomedicine to environmental remediation. Especially, with the catalytic nature to offer amplified signals for highly sensitive detection, nanozymes were finding potential applications in the sensing of various analytes, including pesticides and their biomarkers. To highlight the progress in this field, here the sensing principles of pesticides and cholinesterases based on nanozyme catalysis are definitively summarized, and emerging detection methods and technologies with the participation of nanozymes are critically discussed. Importantly, typical examples are introduced to reveal the promising use of nanozymes. Also, some challenges in the field and future trends are proposed, with the hope of inspiring more efforts to advance nanozyme-involved sensors for pesticides and cholinesterases.
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Erbahar, Dilek D., Mika Harbeck, Ilke Gürol, Gülay Gümüş, Emel Musluoǧlu, Zafer Z. Öztürk, and Vefa Ahsen. "Zinc phthalocyanines with fluorinated substituents for direct sensing of carbamate and organophosphate pesticides in water." Journal of Porphyrins and Phthalocyanines 17, no. 10 (September 9, 2013): 989–95. http://dx.doi.org/10.1142/s108842461350065x.

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Water pollution by pesticides as the result of intensive agriculture and horticulture has brought many negative consequences to humans and ecosystems. Among others, chemical sensor systems are under intense development for direct pesticide analysis in aqueous samples as a cost effective and simple alternative analytical method. In this work, a set of zinc phthalocyanines is studied in its liquid sensing properties using quartz crystal microbalances. Four different species selected from the two most common organophosphorus and carbamate classes of pesticides are used as test analytes. The phthalocyanines are chemically modified with different fluorinated substituents to increase sensor sensitivity and govern pesticide selectivity in order to create sensors with widely diverging analyte responses. By this means, sensors with a general high sensitivity and selectivity for the two pesticide classes were obtained and detection limits down to 0.03 mg.L-1 could be achieved. The response data of the sensors are analyzed in detail using exploratory multivariate data evaluation methods. The results show that phthalocyanine based sensors are a truly capable platform for chemical analysis systems of aqueous samples.
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Aragay, Gemma, Flavio Pino, and Arben Merkoçi. "Nanomaterials for Sensing and Destroying Pesticides." Chemical Reviews 112, no. 10 (August 16, 2012): 5317–38. http://dx.doi.org/10.1021/cr300020c.

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Swain, Nibedita, Isha Soni, Pankaj Kumar, and Gururaj Kudur Jayaprakash. "Electrochemical Reduction and Voltammetric Sensing of Lindane at the Carbon (Glassy and Pencil) Electrodes." Electrochem 3, no. 2 (May 13, 2022): 248–58. http://dx.doi.org/10.3390/electrochem3020017.

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In the agricultural field, pesticides are used tremendously to shield our crops from insects, weeds, and diseases. Only a small percentage of pesticides employed reach their intended target, and the remainder passes through the soil, contaminating ground and surface-water supplies, damaging the crop fields, and ultimately harming the crop, including humans and other creatures. Alternative approaches for pesticide measurement have recently received a lot of attention, thanks to the growing interest in the on-site detection of analytes using electrochemical techniques that can replace standard chromatographic procedures. Among all organochlorine pesticides such as gamma-lindane are hazardous, toxic, and omnipresent contaminants in the environment. Here, in this review, we summarize the different ways of the gamma-lindane detection, performing the electrochemical techniques viz cyclic, differential, square wave voltammetry, and amperometry using various bare and surface-modified glassy carbon and pencil carbon electrodes. The analytical performances are reported as the limit of detection 18.8 nM (GCE–AONP–PANI–SWCNT), 37,000 nM (GCE), 38.1 nM (Bare HBPE), 21.3 nM (Nyl-MHBPE); percentage recovery is 103%.
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Pundir, C. S., Ashish Malik, and Preety. "Bio-sensing of organophosphorus pesticides: A review." Biosensors and Bioelectronics 140 (September 2019): 111348. http://dx.doi.org/10.1016/j.bios.2019.111348.

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Yan, Zihan, Xiaoming Song, Yuhui Wu, Cuiping Gao, Yunlong Wang, and Yuesuo Yang. "Fingerprinting Organochlorine Groundwater Plumes Based on Non-Invasive ERT Technology at a Chemical Plant." Applied Sciences 12, no. 6 (March 9, 2022): 2816. http://dx.doi.org/10.3390/app12062816.

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The refined characterization of groundwater pollution is an important prerequisite for efficient and effective remediation. A high-resolution survey of a contaminated site in a chemical pesticide factory was carried out using non-invasive geophysical sensing technology. Modern electrical resistivity tomography (ERT) technology can rapidly identify and characterize the groundwater pollution plumes of organochlorine pesticides, which was demonstrated in this study by the significantly abnormal resistivity sensing in stratums and aquifers under the raw material tanks, production, and loading areas. The results were found to be highly consistent with the ERT sensing results achieved via incorporating borehole sampling and hydrochemical analysis. With high abnormal resistivity, the range of contamination within the profile was characterized on the meter level. We also unexpectedly found new pollution and explained its source. This study confirmed that the modern refined ERT method has a high feasibility and accuracy in characterizing the spatial distribution of organochlorine pesticide plumes in groundwater.
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Poudyal, Durgasha, Vikram Narayanan Dhamu, Sriram Muthukumar, and Shalini Prasad. "Electrochemical Sensing Platform for the Detection of Pesticides and GMO Protein in Food Matrices." ECS Meeting Abstracts MA2022-02, no. 61 (October 9, 2022): 2241. http://dx.doi.org/10.1149/ma2022-02612241mtgabs.

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The growing technology and development in the agriculture industry has led to the introduction of genetically modified organisms (GMO’s) crops having which have high resistance to insecticides, thus there is a tremendous rise in the use of the pesticides/insecticide worldwide. The underlying concern is about the possible health issue related to their residues in the daily dietary intake viz sources such as water, fruits, vegetables and grains. Therefore, various regulatory bodies have set the maximum residue limits for safe use of these pesticides or insecticides in agriculture land. Secondly, regardless of the rising debate or controversies about the GMO’s among society and producer, their cultivation is constantly increasing. As the impact of cultivating these crops on human health are under study, more than 50 countries have mandated the labelling of these GMO’s proteins to ensure the right to information to the consumers. Although these pesticides/insecticides and GMO’s can be detected precisely using gold standard analytical methods in the food matrix, but these methods require an expert to handle, and stringent sample pre-processing steps. Thus, there is a high demand for the portable, on-field device which can be used at the consumer levels requiring no pre-sample processing steps. In our work, we explore the use of the electrochemical assay method to detect the pesticides such as Chlorpyrifos, Glyphosate and GMO proteins in high fat and low-fat food matrices. The assay-based electrochemical multiplex sensor has been developed by modifying the screen-printed Au-electrode/carbon electrode substrate with the respective antibody at optimized concentrations. The real low-fat and high-fat sample matrices has been prepared by simply blending the mix using home blender. The real sample matrix spiked with the pesticides /GMO protein were tested for calibrated dose response from 0.3 ng/mL- 243 ng/mL, and the limit of detection of less than < 10 ng/mL were observed using this developed electrochemical portable device method. Such portable electrochemical device approach could be a promising on-field sensing tool for the pesticide and GMO protein detection. Figure 1
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Dissertations / Theses on the topic "Pesticides sensing"

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Gregorio, López Eduard. "Lidar remote sensing of pesticide spray drift." Doctoral thesis, Universitat de Lleida, 2012. http://hdl.handle.net/10803/96788.

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En aquesta tesi doctoral es proposa utilitzar la tècnica LIDAR (Light Detection And Ranging) per estudiar la deriva de pesticides. A diferència dels col·lectors in situ, aquesta tècnica permet mesurar els aerosols de forma remota, amb elevada resolució temporal i en distància. Els objectius d’aquesta tesi són (1) dissenyar un sistema lidar específic per la mesura de la deriva i (2) avaluar la capacitat d’aquesta tècnica per quantificar la concentració en els núvols de pesticides. Per la consecució de l’objectiu (1) s’ha elaborat una metodologia de disseny, validada mitjançant la construcció d’un prototipus de ceilòmetre lidar biaxial. Partint d’aquesta metodologia s’han establert els paràmetres de disseny del sistema específic per mesurar la deriva: longitud d’ona de 1550 nm, energia per pols igual a 25 μJ, etc. Respecte a l’objectiu (2), es proposa un model teòric que relaciona les mesures lidar de la deriva amb les obtingudes utilitzant col·lectors passius. La relació entre els dos tipus de sensors també s’ha estudiat experimentalment. Les mesures van mostrar que per a cada assaig existeix una elevada correlació lineal (R2≈0.9) entre el senyal lidar i els col·lectors.
En esta tesis doctoral se propone utilizar la técnica LIDAR (LIght Detection And Ranging) para monitorizar la deriva de pesticidas. A diferencia de los colectores in situ, esta técnica permite medir los aerosoles de forma remota, con elevada resolución temporal y en distancia. Los objetivos de esta tesis son (1) diseñar un sistema lidar específico para la medida de la deriva y (2) evaluar la capacidad de esta técnica para cuantificar la concentración en las plumas de pesticidas. Para la consecución del objetivo (1) se ha elaborado una metodología de diseño, validada mediante la construcción de un prototipo de ceilómetro lidar biaxial. Partiendo de esta metodología se han establecido los parámetros de diseño del sistema lidar específico para medir la deriva: longitud de onda de 1550 nm, energía por pulso igual a 25 μJ, etc. Respecto al objetivo (2), se propone un modelo teórico que relaciona las medidas lidar de la deriva con las obtenidas utilizando colectores pasivos. La relación entre ambos tipos de sensores también ha sido estudiada experimentalmente. Las medidas mostraron que para cada ensayo existe una elevada correlación lineal (R2≈0.9) entre la señal lidar y los colectores.
This doctoral thesis proposes the use of the LIDAR (LIght Detection And Ranging) technique for spray drift monitoring. Unlike in situ collectors, this technique enables remote measurement of aerosols with high temporal and range resolution. The objectives of this thesis are as follows: (1) the design of a lidar system specifically for the remote sensing of pesticide spray drift and (2) assessment of the capacity of lidar technology to quantify droplet concentration in drift clouds. For the purposes of objective (1), a design methodology was elaborated. This methodology was validated with the construction of a biaxial lidar ceilometer prototype. Taking this methodology as a starting point the design parameters of a lidar system specifically for spray drift measurement were established: 1550 nm wavelength, 25 μJ de pulse energy, etc. As for objective (2), it is proposed a quantitative analytical model which relates the lidar spray drift measurements with those obtained using passive collectors. The relationship between the two sensor types was also studied experimentally. The measurements showed that for each test there is a high linear correlation (R2≈0.9) between the lidar signal and the collectors
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RAPINI, RICCARDO. "Improvements of sensing using synthetic bio-mimetic receptors." Doctoral thesis, 2017. http://hdl.handle.net/2158/1086687.

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This thesis describes the development of new kind of biosensors based on bio-mimetic probe molecules. Biosensor development can be classified as an interdisciplinary field that is one of the most active research areas in analytical chemistry. As well as others analytical methods, biosensors’ performances are evaluated considering their detection limit (LOD), their sensitivity, selectivity and reproducibility, the obtained linear and dynamic range and their response to interfering substance. Probably most used receptors in biosensing applications are Antibodies (ABs). They are able to bind the target providing high selectivity and sensitivity but their use is characterised by some limitations. Recent progresses in bio-analytical applications led to the synthesis and characterisation of new classes of biomimetic receptors. These kinds of probes are composed by biological “bricks” assembled in vitro or by synthetic molecules assembled in order to mimic ABs recognition capability. This thesis work will provide examples of applications of DNA aptamers and molecularly imprinted polymers (MIPs).
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Books on the topic "Pesticides sensing"

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Dhanya, James, and Elias Milja T, eds. Electrochemical sensing of deadly toxin-atrazine: An overview. Hauppauge, N.Y: Nova Science Publishers, 2010.

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Gurr, Geoff M., Steve D. Wratten, and Miguel A. Altieri, eds. Ecological Engineering for Pest Management. CSIRO Publishing, 2004. http://dx.doi.org/10.1071/9780643098411.

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Ecological engineering is about manipulating farm habitats, making them less favourable for pests and more attractive to beneficial insects. Though they have received far less research attention and funding, ecological approaches may be safer and more sustainable than their controversial cousin, genetic engineering. This book brings together contributions from international workers leading the fast moving field of habitat manipulation, reviewing the field and paving the way towards the development and application of new pest management approaches. Chapters explore the frontiers of ecological engineering methods including molecular approaches, high tech marking and remote sensing. They also review the theoretical aspects of this field and how ecological engineering may interact with genetic engineering. The technologies presented offer opportunities to reduce crop losses to insects while reducing the use of pesticides and providing potentially valuable habitat for wildlife conservation. With contributions from the USA, UK, Germany, Switzerland, Australia, New Zealand, Kenya and Israel, this book provides comprehensive coverage of international progress towards sustainable pest management.
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Hsu, Hsuan L. The Smell of Risk. NYU Press, 2020. http://dx.doi.org/10.18574/nyu/9781479807215.001.0001.

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The Smell of Risk considers the capacities of olfaction as a tool for sensing and staging modernity’s differentiated atmospheres and their associated environmental risks. Focusing on American literature and art from the 1890s to the present, the book considers how smell stages the pathways through which environmental materials enter and interact with bodies in detective fiction, naturalist novels, environmental illness memoirs, environmental justice narratives, and olfactory art. These texts reframe modernization as a regime of differential deodorization that relocates bad air and its associated noxious odors to vulnerable spaces and populations even as it derecognizes olfaction as a mode of embodied knowledge. The Smell of Risk brings insights from the fields of material ecocriticism, sensory studies, atmospheric geography, and critical race studies to bear on diverse contexts of atmospheric disparity, including Latinx communities exposed to freeway exhaust and pesticides, Asian diasporic artists’ responses to racial discourses about Asiatic odors, and writings that explore the atmospheric devastation of settler colonialism and the olfactory capacities of Indigenous plants.
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Book chapters on the topic "Pesticides sensing"

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Mehta, Jyotsana, Rahul Kumar, Sarita Dhaka, and Akash Deep. "Biofunctionalized Nanostructured Materials for Sensing of Pesticides." In Environmental Chemistry for a Sustainable World, 29–86. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38101-1_2.

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Wang, Yong, Qin Xiao, and Qianfen Zhuang. "MOF-based Electrochemical Sensors for Pesticides." In Metal-Organic Frameworks-Based Hybrid Materials for Environmental Sensing and Monitoring, 187–98. New York: CRC Press, 2022. http://dx.doi.org/10.1201/9781003188148-20.

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Mishra, Archana, Soumya Mukundan, and Jitendra Kumar. "An Overview of Metal-Organic Frameworks for Detection of Pesticides." In Metal-Organic Frameworks-Based Hybrid Materials for Environmental Sensing and Monitoring, 199–205. New York: CRC Press, 2022. http://dx.doi.org/10.1201/9781003188148-21.

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Chansi, Rashi Bhardwaj, Karan Hadwani, and Tinku Basu. "Role of Metal–Organic Framework (MOF) for Pesticide Sensing." In Nanoscience for Sustainable Agriculture, 75–99. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-97852-9_4.

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Nastis, Stefanos. "Modelling approach for Data Analysis." In Manuali – Scienze Tecnologiche, 29. Florence: Firenze University Press, 2020. http://dx.doi.org/10.36253/978-88-5518-044-3.29.

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A Decision Support System (DSS) is an interactive, computer-based system that helps users in making decisions. Besides the provision of storing and data retrieval, DSS enhances information access and retrieval functions. Designing a DSS for agriculture enables farmers to make effective decisions for higher yield and lower production costs. Precision agriculture, through the use of remote sensing, geographical information systems, global positioning systems, soil testing, yield monitors and variable rate technology, provide a number of inputs into the DSS. Case studies are presented where the DSS is designed to optimize specific inputs, such as water consumption or pesticide applications by employing precision agriculture through information and communication technology.
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Mogha, Navin Kumar, and Dhanraj T. Masram. "Metal–Organic Frameworks for Pesticide Sensing: Trend in the Recent Years." In Metal-Organic Frameworks (MOFs) as Catalysts, 411–27. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-7959-9_16.

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Sikora, Richard A., Jon Padgham, and Johan Desaeger. "The unpredictability of adapting integrated nematode management to climate variability." In Integrated nematode management: state-of-the-art and visions for the future, 463–71. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789247541.0064.

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Abstract The areas of concern regarding the future importance of climate change and variability on nematode damage and integrated management include: shifts in the distribution of nematodes, stimulation of additional generations, increased reproductive potential, development of more severe nematode-pathogen complexes, inability to monitor with remote sensing populations over multiple seasons, negative yield due to nematodes and reduced soil moisture levels, adapting integrated nematode management (INM) to highly volatile interannual fluctuations, loss of organic matter and soil antagonistic potential, lack of an effective in-season plant curative pesticide, enhancement of cumulative multi-species impact, and inactivation or loss of plant resistance to nematodes. This chapter reflects on some of the above points and how long-term climate change and increasing climate variability may impact nematodes, crop losses and potential modification of INM under climate change induced risk. It discusses climate change and climate variability in the context of INM, climate impacts on agricultural crops, critical climate change hotspots, climate influence on nematode biological processes, and the use of degree-days to monitor temperature effects on nematode development. The use of plant parasitic nematodes as research models and immediate priorities for improved near-term climate risk management within INM are also described.
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He, Kaiyu, Liu Wang, and Xiahong Xu. "Chemical sensing of pesticides in water." In Advanced Sensor Technology, 647–68. Elsevier, 2023. http://dx.doi.org/10.1016/b978-0-323-90222-9.00008-x.

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Sahoo, Dibakar, Bikash Ranjan Sahoo, and Smrutirekha Sahoo. "Zinc oxide nanostructures as effective pesticide controllers: Sensing and degradation of pesticides." In Zinc-Based Nanostructures for Environmental and Agricultural Applications, 181–201. Elsevier, 2021. http://dx.doi.org/10.1016/b978-0-12-822836-4.00013-6.

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Rohit, Jigneshkumar V., Vaibhavkumar N. Mehta, Amit B. Patel, Humairah Tabasum, and Gourav Spolia. "Carbon dots-based fluorescence spectrometry for pesticides sensing." In Carbon Dots in Analytical Chemistry, 97–108. Elsevier, 2023. http://dx.doi.org/10.1016/b978-0-323-98350-1.00020-7.

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Conference papers on the topic "Pesticides sensing"

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Nabok, Alexei V., Asim K. Ray, Nickolaj F. Starodub, and Kenneth P. Dowker. "Enzyme/indicator optrodes for detection of heavy metal ions and pesticides." In Environmental and Industrial Sensing, edited by Robert A. Lieberman. SPIE, 2000. http://dx.doi.org/10.1117/12.411720.

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Lin, Yu-Sheng, and Jingjing Liu. "CD-like centrifugal microfluidic device for organophosphorus pesticides (OPP) sensing." In 2017 International Conference on Optical MEMS and Nanophotonics (OMN). IEEE, 2017. http://dx.doi.org/10.1109/omn.2017.8051476.

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Gilmo Yang, Nam-hong Cho, and Gi-young Kim. "Sensing of the Insecticide Carbamate Pesticides by Surface Plasmon Resonance." In 2006 Portland, Oregon, July 9-12, 2006. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2006. http://dx.doi.org/10.13031/2013.21051.

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Wallace, Sonjae, Lou Massa, Andrew Shabaev, and Samuel G. Lambrakos. "IR absorption spectra for pesticides using density functional theory." In Image Sensing Technologies: Materials, Devices, Systems, and Applications IX, edited by Nibir K. Dhar, Achyut K. Dutta, and Sachidananda R. Babu. SPIE, 2022. http://dx.doi.org/10.1117/12.2616230.

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Korostynska, O., I. Nakouti, A. Mason, and A. I. Al-Shamma'a. "Planar electromagnetic wave sensor for instantaneous assessment of pesticides in water." In 2013 Seventh International Conference on Sensing Technology (ICST). IEEE, 2013. http://dx.doi.org/10.1109/icsenst.2013.6727788.

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Zhai, Chen, Yongyu Li, Yankun Peng, Tianfeng Xu, Sagar Dhakal, Kuanglin Chao, and Jianwei Qin. "Research on identification and determination of mixed pesticides in apples using surface enhanced Raman spectroscopy." In SPIE Sensing Technology + Applications, edited by Moon S. Kim, Kuanglin Chao, and Bryan A. Chin. SPIE, 2015. http://dx.doi.org/10.1117/12.2176829.

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Brueggemann, Rainer, Gunnar Nuetzmann, and Irena Twardowska. "Model-supported ranking of pesticides with regard to risk assessment exemplified in triazine compounds." In Optical Technologies for Industrial, Environmental, and Biological Sensing, edited by Tuan Vo-Dinh, Guenter Gauglitz, Robert A. Lieberman, Klaus P. Schaefer, and Dennis K. Killinger. SPIE, 2004. http://dx.doi.org/10.1117/12.516215.

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Zujun Lu, Qiongruan Wei, Luying Chen, Li Cheng, Qunfeng Lu, and Shichun Liang. "Isolation and characterization of tow species of fungus causing diseases on eucalypt seedlings and their susceptibility to pesticides." In 2011 International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE). IEEE, 2011. http://dx.doi.org/10.1109/rsete.2011.5964096.

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Kalabina, Nadezhda A., Tatiana I. Ksenevich, Anatoli A. Beloglazov, and Petr I. Nikitin. "Pesticide sensing by surface-plasmon resonance." In Optical Sensing for Environmental and Process Monitoring, edited by Ishwar D. Aggarwal, Stuart Farquharson, and Eric Koglin. SPIE, 1995. http://dx.doi.org/10.1117/12.199682.

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Bilitewski, Ursula, Frank F. Bier, Baerbel Beyersdorf-Radeck, Petra Rueger, Frank Zischkale, and Rolf D. Schmid. "Biosensor systems for pesticide determination in water." In Environmental Sensing '92, edited by Tuan Vo-Dinh and Karl Cammann. SPIE, 1993. http://dx.doi.org/10.1117/12.140254.

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Reports on the topic "Pesticides sensing"

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Belkin, Shimshon, Sylvia Daunert, and Mona Wells. Whole-Cell Biosensor Panel for Agricultural Endocrine Disruptors. United States Department of Agriculture, December 2010. http://dx.doi.org/10.32747/2010.7696542.bard.

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Abstract:
Objectives: The overall objective as defined in the approved proposal was the development of a whole-cell sensor panel for the detection of endocrine disruption activities of agriculturally relevant chemicals. To achieve this goal several specific objectives were outlined: (a) The development of new genetically engineered wholecell sensor strains; (b) the combination of multiple strains into a single sensor panel to effect multiple response modes; (c) development of a computerized algorithm to analyze the panel responses; (d) laboratory testing and calibration; (e) field testing. In the course of the project, mostly due to the change in the US partner, three modifications were introduced to the original objectives: (a) the scope of the project was expanded to include pharmaceuticals (with a focus on antibiotics) in addition to endocrine disrupting chemicals, (b) the computerized algorithm was not fully developed and (c) the field test was not carried out. Background: Chemical agents, such as pesticides applied at inappropriate levels, may compromise water quality or contaminate soils and hence threaten human populations. In recent years, two classes of compounds have been increasingly implicated as emerging risks in agriculturally-related pollution: endocrine disrupting compounds (EDCs) and pharmaceuticals. The latter group may reach the environment by the use of wastewater effluents, whereas many pesticides have been implicated as EDCs. Both groups pose a threat in proportion to their bioavailability, since that which is biounavailable or can be rendered so is a priori not a threat; bioavailability, in turn, is mediated by complex matrices such as soils. Genetically engineered biosensor bacteria hold great promise for sensing bioavailability because the sensor is a live soil- and water-compatible organism with biological response dynamics, and because its response can be genetically “tailored” to report on general toxicity, on bioavailability, and on the presence of specific classes of toxicants. In the present project we have developed a bacterial-based sensor panel incorporating multiple strains of genetically engineered biosensors for the purpose of detecting different types of biological effects. The overall objective as defined in the approved proposal was the development of a whole-cell sensor panel for the detection of endocrine disruption activities of agriculturally relevant chemicals. To achieve this goal several specific objectives were outlined: (a) The development of new genetically engineered wholecell sensor strains; (b) the combination of multiple strains into a single sensor panel to effect multiple response modes; (c) development of a computerized algorithm to analyze the panel responses; (d) laboratory testing and calibration; (e) field testing. In the course of the project, mostly due to the change in the US partner, three modifications were introduced to the original objectives: (a) the scope of the project was expanded to include pharmaceuticals (with a focus on antibiotics) in addition to endocrine disrupting chemicals, (b) the computerized algorithm was not fully developed and (c) the field test was not carried out. Major achievements: (a) construction of innovative bacterial sensor strains for accurate and sensitive detection of agriculturally-relevant pollutants, with a focus on endocrine disrupting compounds (UK and HUJ) and antibiotics (HUJ); (b) optimization of methods for long-term preservation of the reporter bacteria, either by direct deposition on solid surfaces (HUJ) or by the construction of spore-forming Bacillus-based sensors (UK); (c) partial development of a computerized algorithm for the analysis of sensor panel responses. Implications: The sensor panel developed in the course of the project was shown to be applicable for the detection of a broad range of antibiotics and EDCs. Following a suitable development phase, the panel will be ready for testing in an agricultural environment, as an innovative tool for assessing the environmental impacts of EDCs and pharmaceuticals. Furthermore, while the current study relates directly to issues of water quality and soil health, its implications are much broader, with potential uses is risk-based assessment related to the clinical, pharmaceutical, and chemical industries as well as to homeland security.
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