Relevant bibliographies by topics / Pesticides Controlled release Mathematical models

Academic literature on the topic 'Pesticides Controlled release Mathematical models'

Author: Grafiati
Published: 10 December 2022
Last updated: 29 January 2023

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Journal articles on the topic "Pesticides Controlled release Mathematical models"

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Muro-Suñé, Núria, Rafiqul Gani, Gordon Bell, and Ian Shirley. "Predictive property models for use in design of controlled release of pesticides." Fluid Phase Equilibria 228-229 (February 2005): 127–33. http://dx.doi.org/10.1016/j.fluid.2004.08.007.

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Yahya, Ibtihag, Razan Atif, Lina Ahmed, Tahleel Salah Eldeen, Akram Omara, and Megdi Eltayeb. "Polymeric Nanoparticles as Drug Delivery Systems for Controlled Release." Advanced Science, Engineering and Medicine 12, no. 2 (February 1, 2020): 263–70. http://dx.doi.org/10.1166/asem.2020.2495.

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This study focuses on providing a comparative mathematical analysis of drug release from polymeric nanoparticle with different structures to allow in silico prediction of the appropriate and optimal model that applies to the whole drug release and not limited to a part of the process. The drug release data from nanoparticles have been applied using MATLAB software to apply mathematical models such as Zero-order, First-order, Higuchi, Hixson–Crowell, Korsmeyer-Peppas models besides a proposed model called Tanh function. This study results highlight the usefulness of mathematical models, key findings emerge that the Tanh model and First-order model gave the best fits of the parameters data as both model's plots showed high linear correlation (R2 = 0.9781, 0.9448) respectively. Finally, this study concludes that both proposed Tanh function and First-order model shows better performance, giving good results and can be successfully used to characterize drug and applied for prolonged drugs release.
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Manga, Ramya D., and Prateek K. Jha. "Mathematical Models for Controlled Drug Release Through pH-Responsive Polymeric Hydrogels." Journal of Pharmaceutical Sciences 106, no. 2 (February 2017): 629–38. http://dx.doi.org/10.1016/j.xphs.2016.10.019.

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Paolino, Donatella, Andra Tudose, Christian Celia, Luisa Di Marzio, Felisa Cilurzo, and Constantin Mircioiu. "Mathematical Models as Tools to Predict the Release Kinetic of Fluorescein from Lyotropic Colloidal Liquid Crystals." Materials 12, no. 5 (February 26, 2019): 693. http://dx.doi.org/10.3390/ma12050693.

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In this study, we investigated the release kinetic of fluorescein from colloidal liquid crystals made from monoglyceride and different non-ionic surfactants. The crystals were physicochemically characterized and the release experiments were carried out under the sink conditions, while mathematical models were described as extrapolations from solutions of the diffusion equation, in different initial and boundary conditions imposed by pharmaceutical formulations. The diffusion equation was solved using Laplace and Fourier transformed functions for release kinetics from infinite reservoirs in a semi-infinite medium. Solutions represents a general square root law and can be applied for the release kinetic of fluorescein from lyotropic colloidal liquid crystals. Akaike, Schwartz, and Imbimbo criteria were used to establish the appropriate mathematical model and the hierarchy of the performances of different models applied to the release experiments. The Fisher statistic test was applied to obtain the significance of differences among mathematical models. Differences of mathematical criteria demonstrated that small or no significant statistic differences were carried out between the various applied models and colloidal formulations. Phenomenological models were preferred over the empirical and semi-empirical ones. The general square root model shows that the diffusion-controlled release of fluorescein is the mathematical models extrapolated for lyotropic colloidal liquid crystals.
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Mircioiu, Constantin, Victor Voicu, Valentina Anuta, Andra Tudose, Christian Celia, Donatella Paolino, Massimo Fresta, Roxana Sandulovici, and Ion Mircioiu. "Mathematical Modeling of Release Kinetics from Supramolecular Drug Delivery Systems." Pharmaceutics 11, no. 3 (March 21, 2019): 140. http://dx.doi.org/10.3390/pharmaceutics11030140.

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Embedding of active substances in supramolecular systems has as the main goal to ensure the controlled release of the active ingredients. Whatever the final architecture or entrapment mechanism, modeling of release is challenging due to the moving boundary conditions and complex initial conditions. Despite huge diversity of formulations, diffusion phenomena are involved in practically all release processes. The approach in this paper starts, therefore, from mathematical methods for solving the diffusion equation in initial and boundary conditions, which are further connected with phenomenological conditions, simplified and idealized in order to lead to problems which can be analytically solved. Consequently, the release models are classified starting from the geometry of diffusion domain, initial conditions, and conditions on frontiers. Taking into account that practically all solutions of the models use the separation of variables method and integral transformation method, two specific applications of these methods are included. This paper suggests that “good modeling practice” of release kinetics consists essentially of identifying the most appropriate mathematical conditions corresponding to implied physicochemical phenomena. However, in most of the cases, models can be written but analytical solutions for these models cannot be obtained. Consequently, empiric models remain the first choice, and they receive an important place in the review.
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Haidar, Ziyad S. "Mathematical Modeling for Pharmacokinetic Predictions from Controlled Drug Release Nano Systems: A Comparative Parametric Study." Biomedical and Pharmacology Journal 11, no. 4 (December 25, 2018): 1801–6. http://dx.doi.org/10.13005/bpj/1552.

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In the present work, several mathematical models well-known in the literature for simulating drug release kinetics are compared using available experimental data sets obtained in real systems with different drugs and nano-sized carriers. Herein, the χ2 minimization method, is employed concluding that the Korsmeyer-Peppas model provides the best-fit in all cases. Hence, (i) better understanding of the exact mass transport mechanism(s) involved in drug(s) release, and (ii) quantitative prediction of the drug release kinetics, can be computed.
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Abed, Ziaeddin, Samideh Khoei, Behafarid Ghalandari, Jaber Beik, Ali Shakeri-Zadeh, Habib Ghaznavi, and Mohammad-Bagher Shiran. "The Measurement and Mathematical Analysis of 5-Fu Release from Magnetic Polymeric Nanocapsules, following the Application of Ultrasound." Anti-Cancer Agents in Medicinal Chemistry 18, no. 3 (June 4, 2018): 438–49. http://dx.doi.org/10.2174/1871520617666170921124951.

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Objective: To study the effects of ultrasound irradiation on the release profile of 5-fluorouracil (5-Fu) loaded magnetic poly lactic co-glycolic acid (PLGA) nanocapsules. Also, the controlled drug-release behaviour of the nanocapsules was mathematically investigated. Methods: The nanocapsules were synthesized, dispersed in phosphate buffered saline (PBS), transferred to a dialysis bag, and finally, irradiated by various ultrasound parameters (1 or 3MHz; 0.3-1W/cm2; 5-10 minutes). The release profile of the irradiated nanocapsules was recorded for 14 days. To find the in vitro drug release mechanism in the absence and presence of various intensities of ultrasound, the obtained data were fitted in various kinetic models for drug release. Results: The results demonstrated that the ultrasound speeded up the rate of drug release from the nanocapsules. The mathematical analysis illustrated that when the ultrasound intensity is increased, the probability of controlled release behaviour of the nanocapsules is raised. We found that drug release from the irradiated nanocapsules follows an erosion-controlled mechanism with the decrease in the velocity of diffusion. Conclusion: In conclusion, to attain a controlled drug-delivery strategy in the area of cancer therapy, the drug release profile of the nano-carriers may be well-controlled by ultrasound.
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Sempeho, Siafu Ibahati, Hee Taik Kim, Egid Mubofu, and Askwar Hilonga. "Meticulous Overview on the Controlled Release Fertilizers." Advances in Chemistry 2014 (August 28, 2014): 1–16. http://dx.doi.org/10.1155/2014/363071.

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Owing to the high demand for fertilizer formulations that will exhaust the possibilities of nutrient use efficiency (NUE), regulate fertilizer consumption, and lessen agrophysicochemical properties and environmental adverse effects instigated by conventional nutrient supply to crops, this review recapitulates controlled release fertilizers (CRFs) as a cutting-edge and safe way to supply crops’ nutrients over the conventional ways. Essentially, CRFs entail fertilizer particles intercalated within excipients aiming at reducing the frequency of fertilizer application thereby abating potential adverse effects linked with conventional fertilizer use. Application of nanotechnology and materials engineering in agriculture particularly in the design of CRFs, the distinctions and classification of CRFs, and the economical, agronomical, and environmental aspects of CRFs has been revised putting into account the development and synthesis of CRFs, laboratory CRFs syntheses and testing, and both linear and sigmoid release features of CRF formulations. Methodical account on the mechanism of nutrient release centring on the empirical and mechanistic approaches of predicting nutrient release is given in view of selected mathematical models. Compositions and laboratory preparations of CRFs basing on in situ and graft polymerization are provided alongside the physical methods used in CRFs encapsulation, with an emphasis on the natural polymers, modified clays, and superabsorbent nanocomposite excipients.
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Mohd Sharif, Sharifah Norain, Norhayati Hashim, Illyas Md Isa, Suriani Abu Bakar, Mohamad Idris Saidin, Mohamad Syahrizal Ahmad, Mazidah Mamat, Mohd Zobir Hussein, and Rahadian Zainul. "Carboxymethyl Cellulose Hydrogel Based Formulations of Zinc Hydroxide Nitrate-Sodium Dodecylsulphate-Bispyribac Nanocomposite: Advancements in Controlled Release Formulation of Herbicide." Journal of Nanoscience and Nanotechnology 21, no. 12 (December 1, 2021): 5867–80. http://dx.doi.org/10.1166/jnn.2021.19499.

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The usefulness of carboxymethyl cellulose (CMC) as a matrix material in enhancing the controlled release formulations of bispyribac (BP) herbicide from the interlayer gallery of zinc hydroxide nitratesodium dodecylsulphate–bispyribac (ZHN–SDS–BP) nanocomposite was investigated. The CMC coated nanocomposite, ZHN–SDS–BP–CMC was characterised using several instruments for the determination of its physicochemical properties. The release rates of the BP were measured using a UV spectrophotometer, and the aqueous solutions containing PO3−4 , SO2−4 and Cl− were selected as release media in the release studies so as to mimic the real conditions of environmental soil. Significant release time delays, triggered by the gelation forming ability and hygroscopic nature of CMC, were observed in all release media, and the release processes were found to behave in a concentration-dependent manner in all release media. Fitting the release data into several kinetic models demonstrated that release in aqueous solutions of Na3PO4 and Na2SO4 was governed by pseudo second order processes, whereas the release in an aqueous NaCl solution was governed by the parabolic diffusion kinetic model. The potential of CMC in prolonging the release of BP from ZHN–SDS–BP–CMC can potentially help in reducing the pollution resulting from the overuse of pesticides.
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Panotopoulos, Grigorios P., and Ziyad S. Haidar. "Mathematical Modeling for Pharmaco-Kinetic and -Dynamic Predictions from Controlled Drug Release NanoSystems: A Comparative Parametric Study." Scientifica 2019 (January 6, 2019): 1–5. http://dx.doi.org/10.1155/2019/9153876.

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Predicting pharmacokinetics, based on the theory of dynamic systems, for an administered drug (whether intravenously, orally, intramuscularly, etc.), is an industrial and clinical challenge. Often, mathematical modeling of pharmacokinetics is preformed using only a measured concentration time profile of a drug administered in plasma and/or in blood. Yet, in dynamic systems, mathematical modeling (linear) uses both a mathematically described drug administration and a mathematically described body response to the administered drug. In the present work, we compare several mathematical models well known in the literature for simulating controlled drug release kinetics using available experimental data sets obtained in real systems with different drugs and nanosized carriers. We employed the χ2 minimization method and concluded that the Korsmeyer–Peppas model (or power-law model) provides the best fit, in all cases (the minimum value of χ2 per degree of freedom; χmin2/d.o.f. = 1.4183, with 2 free parameters or m = 2). Hence, (i) better understanding of the exact mass transport mechanisms involved in drugs release and (ii) quantitative prediction of drugs release can be computed and simulated. We anticipate that this work will help devise optimal pharmacokinetic and dynamic release systems, with measured variable properties, at nanoscale, characterized to target specific diseases and conditions.
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Dissertations / Theses on the topic "Pesticides Controlled release Mathematical models"

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David, Hélène. "Etude de matrices polymères permettant la libération contrôlée d'agents actifs en agriculture : expérimentation et modélisation des transferts de matière." Saint-Etienne, 1989. http://www.theses.fr/1989STET4004.

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L'agent actif considéré a été l'éthoprophos, principe nématicide utilisé en agrochimie, mais dans un premier temps, l'aniline a été utilisé comme agent simulant. Les processus d'absorption et de désorption dans l'eau, ont été modélisés, dans le cas d'un granulé composé d'EVA pur, à l'aide d'une solution analytique de l'équation de Fick. Un modèle mathématique basé sur une méthode numérique a été construit pour décrire les transferts à travers un granulé composé par un noyau et une enveloppe
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Books on the topic "Pesticides Controlled release Mathematical models"

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Understanding Drug Release and Absorption Mechanisms: A Physical and Mathematical Approach. CRC, 2006.

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Grassi, Gabriele, Italo Colombo, Romano Lapasin, and Mario Grassi. Understanding Drug Release and Absorption Mechanisms: A Physical and Mathematical Approach. Taylor & Francis Group, 2008.

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Grassi, Gabriele, Italo Colombo, Romano Lapasin, and Mario Grassi. Understanding Drug Release and Absorption Mechanisms: A Physical and Mathematical Approach. Taylor & Francis Group, 2006.

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Understanding drug release and absorption mechanisms: A physical and mathematical approach. Boca Raton, FL: CRC/Taylor & Francis, 2007.

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1954-, Grassi Mario, ed. Understanding drug release and absorption mechanisms: A physical and mathematical approach. Boca Raton: CRC Press, 2007.

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Book chapters on the topic "Pesticides Controlled release Mathematical models"

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Peppas, Nikolaos A. "Mathematical Models for Controlled Release Kinetics." In Medical Applications of Controlled Release, 169–88. CRC Press, 2019. http://dx.doi.org/10.1201/9780429276620-10.

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Muro Suñé, Núria, Rafiqul Gani, Gordon Bell, and Ian Shirley. "Computer-aided and predictive models for design of controlled release of pesticides." In Computer Aided Chemical Engineering, 301–6. Elsevier, 2004. http://dx.doi.org/10.1016/s1570-7946(04)80116-0.

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Chauhan, Sudipa, Kuldeep Chaudhary, Prianka Bose, and Sumit Kaur Bhatia. "Control of Pest Population by Sterile Insect Technique Considering Logistic Growth With Spatial Spread Invasion and Optimal Production Policies." In Mathematical Models of Infectious Diseases and Social Issues, 196–215. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-3741-1.ch009.

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In this chapter, the authors have proposed a SIT model to eradicate the pest population. It has been assumed that the females after mating with wild males grow logistically. Pest population is being controlled with the release of sterile insects in their habitat. The model is formulated with the system of differential equations, and the authors have discussed the local stability analysis of deterministic logistic growth rate model. Further, they have also obtained a potential function by incorporating one-dimensional insect release with an invasion on patch size L, which has a toxic exterior as its surrounding. It has been obtained that, in the presence of spatial spread over a finite patch size, the sterile release of the insects produces a sudden declination of the pest population. Finally, the authors have obtained the optimal production of sterile male population using Pontryagin's maximum principle. The applicability of the proposed model is finally illustrated through numerical solution.
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Manzur Sandoval, Daniel, Gustavo Rojas-Velasco, Efren Melano Carranza, Camelia Cruz Rodr´ıguez, Arturo Arzate Ram´ırez, Francisco J. avier Gonzalez Ruiz, Gerardo Arteaga Cardenas, et al. "COVID-19 Pathophysiology, Clinical Manifestations, and Drug Treatment." In Moving From COVID-19 Mathematical Models to Vaccine Design: Theory, Practice and Experiences, 145–206. BENTHAM SCIENCE PUBLISHERS, 2022. http://dx.doi.org/10.2174/9789815051902122010009.

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COVID-19 is caused by a single-stranded RNA encapsulated betacoronavirus, known as SARS-CoV-2, implicated in the pandemic that started in China in 2019. Viral replication consists of five stages that culminate in the release of the new virion. The exaggerated inflammatory response of COVID-19 is characterized by an elevation of acute phase reactants such as C-reactive protein and ferritin. It is associated with an unfavorable clinical course, intensified&nbsp;by abnormal activation of the protein complex called the inflammasome. When the immune response does not control the virus, lung tissue damage occurs that leads to the massive release of proinflammatory cytokines, producing acute respiratory failure syndrome. Vascular permeability is increased; interaction with coagulation factors develops disseminated intravascular coagulation and multiorgan failure. Up to 33% of cases can be asymptomatic. Clinical manifestations can be mild or severe and involve various organs and systems. Among the most commonly affected are: respiratory, cardiovascular, renal, and hematological and coagulation systems. Among the most representative laboratory data are: elevation of inflammatory markers (CRP, inflammatory cytokines, tumor necrosis factor), high levels of D-Dimer, elevation of troponin I, lymphopenia, thrombocytopenia, alteration of liver enzymes and kidney function. There are risk factors and comorbidities that contribute to the severity of the clinical picture (mainly cardiovascular and metabolic diseases): diabetes mellitus, high blood pressure, obesity, chronic lung diseases, cancer, and chronic kidney failure. There are also other genetic factors associated with the host’s immunopathogenesis and response to SARS COV-2 infection. There are various imaging methods that allow adequate identification and involvement of the pulmonary and cardiovascular systems with great sensitivity and specificity (computed tomography and echocardiography). The pandemic imposed decisions with very little information regarding what may be useful as a therapeutic strategy. This uncertainty applies to the treatment indicated in the prevention phase, as well as to the different stages of severity of the disease. In many cases, treatments were applied without having gone through a trial phase but only with the theoretical support of its probable benefit. However, over time, controlled studies showed that they did not provide any benefit and that they could even have a deleterious effect. Other therapies still in use have shown contradictory results in the different clinical trials where they were tested. Very few therapeutic options have shown undisputable benefit so far. The only ones that can modify the presentation or course of the disease are vaccines, which have also been developed in record time and in controlled trials, and all those that have been approved showed a decrease in the risk of infection and in the risk of presenting a severe manifestation of the disease.<br>
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Kreua-ongarjnukool, Narumol, Nopparuj Soomherun, Saowapa Thumsing Niyomthai, and Sorayouth Chumnanvej. "Aliphatic Polyester Nanoparticles for Drug Delivery Systems." In Smart Drug Delivery [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.100977.

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Drug delivery systems using aliphatic polyester nanoparticles are usually prepared via an emulsion process. These nanoparticles can control drug release and improve pharmacokinetics. Aliphatic polyesters are linear polymers containing ester linkages, showing sensitivity to hydrolytic degradation. The byproducts then promote autocatalytic degradation. These byproducts could enter the Krebs cycle and be eliminated from the body, resulting in the high biocompatibility of these nanoparticles. The properties of these polyesters are linked to the drug release rate due to biodegradation, i.e., polymer crystallinity, glass transition temperature, polymer hydrophobicity, and molecular weight (MW), all of which relatively influence hydrolysis. Mathematical equations have been used to study the factors and mechanisms that affect drug dissolution compared to experimental release data. The equations used as models for predicting the kinetics of drug release include the zero-order, first-order, Higuchi, Hixson-Crowell, and Korsmeyer-Peppas equations. Aliphatic polyester-based controlled drug delivery has surrounded much of the current activity in the estimation parameters of nanoparticles and stimulated additional research. Polymeric nanoparticles have potential in a wide range of applications, such as in biotechnology, vaccine systems, and the pharmaceutical industry. The main goal of this chapter is to discuss aliphatic polyester nanoparticles as drug carrier systems.
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Conference papers on the topic "Pesticides Controlled release Mathematical models"

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Minisini, Sara, and Luca Formaggia. "Mathematical Models and Numerical Simulation of Controlled Drug Release." In Selected Contributions from the 9th SIMAI Conference. WORLD SCIENTIFIC, 2009. http://dx.doi.org/10.1142/9789814280303_0038.

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Dungel, Paul, Yvonne Moussy, and Lawrence Hersh. "Two Methods of Determining [3H]Dexamethasone Distribution in Rat Subcutaneous Tissue." In ASME 2007 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2007. http://dx.doi.org/10.1115/sbc2007-172803.

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Several recent reports suggest that controlled local release of dexamethasone may be useful for preventing inflammation around an implantable glucose sensor [1,2]. This decrease in inflammation is expected to increase glucose sensor function and lifetime. Local delivery of dexamethasone would permit high interstitial drug concentrations at the site of glucose sensor implantation without producing high systemic drug levels. Although dexamethasone is a commonly used anti-inflammatory agent, its local concentration, diffusion coefficient and rate of elimination have not been reported following subcutaneous release. The ability of dexamethasone to penetrate subcutaneous tissue can be measured and quantified by comparison to mathematical models [3]. This method allows a reliable estimate of the drug concentration in the tissue near the implanted glucose sensor.
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