Literatura académica sobre el tema "Real-time biosensors"
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Artículos de revistas sobre el tema "Real-time biosensors"
Kunzelmann, Simone y Martin R. Webb. "Fluorescence detection of GDP in real time with the reagentless biosensor rhodamine–ParM". Biochemical Journal 440, n.º 1 (27 de octubre de 2011): 43–49. http://dx.doi.org/10.1042/bj20110349.
Texto completoShalannanda, Wervyan, Ardianto Satriawan, Muhammad Fairuziko Nurrajab, Anchelmia Chyntia Hanna Ayulestari, Diah Ayu Safitri, Finna Alivia Nabila, Casi Setianingsih y Isa Anshori. "Biosensors for therapeutic drug monitoring: a review". F1000Research 12 (13 de febrero de 2023): 171. http://dx.doi.org/10.12688/f1000research.130863.1.
Texto completoRasooly, Avraham y Keith E. Herold. "Biosensors for the Analysis of Food- and Waterborne Pathogens and Their Toxins". Journal of AOAC INTERNATIONAL 89, n.º 3 (1 de mayo de 2006): 873–83. http://dx.doi.org/10.1093/jaoac/89.3.873.
Texto completoSaha, Soumyadeep, Manoj Sachdev y Sushanta K. Mitra. "Recent advances in label-free optical, electrochemical, and electronic biosensors for glioma biomarkers". Biomicrofluidics 17, n.º 1 (enero de 2023): 011502. http://dx.doi.org/10.1063/5.0135525.
Texto completoChristini, David J., Jeff Walden y Jay M. Edelberg. "Direct biologically based biosensing of dynamic physiological function". American Journal of Physiology-Heart and Circulatory Physiology 280, n.º 5 (1 de mayo de 2001): H2006—H2010. http://dx.doi.org/10.1152/ajpheart.2001.280.5.h2006.
Texto completoRaykova, Magdalena R., Damion K. Corrigan, Morag Holdsworth, Fiona L. Henriquez y Andrew C. Ward. "Emerging Electrochemical Sensors for Real-Time Detection of Tetracyclines in Milk". Biosensors 11, n.º 7 (9 de julio de 2021): 232. http://dx.doi.org/10.3390/bios11070232.
Texto completoJang, Chorom, Hee-Jo Lee y Jong-Gwan Yook. "Radio-Frequency Biosensors for Real-Time and Continuous Glucose Detection". Sensors 21, n.º 5 (6 de marzo de 2021): 1843. http://dx.doi.org/10.3390/s21051843.
Texto completoWilson, George S. y Raeann Gifford. "Biosensors for real-time in vivo measurements". Biosensors and Bioelectronics 20, n.º 12 (junio de 2005): 2388–403. http://dx.doi.org/10.1016/j.bios.2004.12.003.
Texto completoEiferman, Daniel S., Long Nguyen y R. Anthony Perez-Tamayo. "Real-Time Myocardial Glucose Measurement Using Biosensors". ASAIO Journal 54, n.º 1 (enero de 2008): 120–23. http://dx.doi.org/10.1097/mat.0b013e318160f809.
Texto completoEiferman, D., L. Nguyen, K. Abe, J. Bohannen, E. Okum y R. A. Perez-Tamayo. "REAL-TIME MYOCARDIAL GLUCOSE MEASUREMENT USING BIOSENSORS". ASAIO Journal 52, n.º 2 (marzo de 2006): 25A. http://dx.doi.org/10.1097/00002480-200603000-00117.
Texto completoTesis sobre el tema "Real-time biosensors"
Ng, Shu Rui. "Electrochemical biosensors for real-time detection of angiogenesis". Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/25625.
Texto completoPhairatana, Tonghathai. "Bioengineering of novel carbon-based biosensors for real-time biomedical use". Thesis, Imperial College London, 2015. http://hdl.handle.net/10044/1/58345.
Texto completoLiu, Chang. "Localized Surface Plasmon Resonance Biosensors for Real-Time Biomolecular Binding Study". FIU Digital Commons, 2013. http://digitalcommons.fiu.edu/etd/837.
Texto completoStengel, Gudrun. "Real time monitoring of DNA hybridization and replication using optical and acoustic biosensors". [S.l. : s.n.], 2004. http://deposit.ddb.de/cgi-bin/dokserv?idn=971304572.
Texto completoHong, Soonjin Barbee Kenneth A. "Quantitative analysis of cell-surface interactions and cell adhesion process in real-time /". Philadelphia, Pa. : Drexel University, 2008. http://hdl.handle.net/1860/2840.
Texto completoCanelle, Quentin. "Real Time Surface Plasmon Resonance Biosensors, a Powerful Technology to Assess Polyclonal Antibody Avidity". Doctoral thesis, Universite Libre de Bruxelles, 2015. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/216754.
Texto completoDoctorat en Sciences agronomiques et ingénierie biologique
info:eu-repo/semantics/nonPublished
Zelada, Guillén Gustavo Adolfo. "Ultrasensitive detection of pathogens in real-time. Potentiometric biosensors based on single-walled carbon nanotubes and aptamers". Doctoral thesis, Universitat Rovira i Virgili, 2011. http://hdl.handle.net/10803/51768.
Texto completoUn gran número de plataformas de detección biológica han incorporado materiales nanoestructurados como una estrategia para mejorar varios parámetros operacionales y de calidad tales como reducir los tiempos de análisis y los límites de detección. Las técnicas electroquímicas de detección se prefieren sobre otras técnicas debido a que presentan una serie de ventajas tales como rapidez, facilidad de manejo, coste reducido y el reducido tamaño de los detectores comerciales. Entre las técnicas electroquímicas, las metodologías más simples, comunes y más fáciles de transportar son aquellas basadas en la potenciometría. La nueva tendencia seguida con los electrodos potenciométricos de estado sólido representa una herramienta atractiva para el análisis de muestras líquidas en tiempo real. Sin embargo, hasta hoy ha sido difícil llevar a cabo la detección electroquímica directa de bacterias y proteínas sin ULTRASENSITIVE DETECTION OF PATHOGENS IN REAL‐TIME POTENTIOMETRIC BIOSENSORS BASED ON SINGLE‐WALLED CARBON NANOTUBES AND APTAMERS utilizar marcadores químicos, dado que las interacciones receptor‐bacteria y receptor‐proteína no producen una señal eléctrica medible. En esta tesis, se demuestra por primera vez la detección potenciométrica en tiempo real de bacterias y proteínas relacionadas con varias enfermedades. Esta tarea fue llevada a cabo mediante el diseño de una plataforma universal de detección utilizando nanotubos de carbono como transductores potenciométricos y aptámeros como elementos de reconocimiento molecular. Las excelentes propiedades transductoras de los nanotubos de carbono combinadas con la casi ilimitada posibilidad de los aptámeros de ser diseñados in vitro para reconocer iones, proteínas, virus y bacterias convierte esta plataforma en una herramienta con posibilidades inagotables de detección biológica en tiempo real.
Numerous biosensing platforms have incorporated nanostructured materials as a strategy for improving several performance and operational parameters such as reducing the limits of detection or the assay times in both pathogen and protein detection. Electrochemical sensing techniques are preferred over other detection methods because they present a series of advantages such as rapid response, ease of use, low‐cost and small sized commercial detectors. Among the electrochemical techniques, the simplest, most widespread and fieldportable methodologies are based on potentiometry. The new wave of potentiometric solidstate electrodes represents an attractive tool for real‐time bioanalysis in liquid samples. However, to date, it has been difficult to carry out the specific and direct electrochemical detection of whole living bacterial cells or disease‐related proteins without chemical labelling because the interaction receptor‐bacteria/receptor‐protein does not provide a measurable electrochemical signal. In this Thesis, the real‐time potentiometric detection of bacteria and disease‐related proteins is demonstrated for the first time. To accomplish such a challenging task, a novel and universal biosensing platform is designed using single‐walled carbon nanotubes as potentiometric transducers, and aptamers as biorecognition elements. The excellent potentiometric transduction properties of carbon nanotubes combined with the quasi‐unlimited capability of aptamers (RNA and DNA synthetic oligonucleotide segments) to be tailored in vitro against ions, proteins, viruses and bacteria converts such a platform into a
Teerapanich, Pattamon. "Fluorescence-based nanofluidic biosensor platform for real-time measurement of protein binding kinetics". Thesis, Toulouse 3, 2015. http://www.theses.fr/2015TOU30239/document.
Texto completoKinetic monitoring of protein-protein interactions offers fundamental insights of their cellular functions and is a vital key for the improvement of diagnostic tests as well as the discovery of novel therapeutic drugs. Surface plasmon resonance (SPR) is an established biosensor technology routinely used for kinetic studies of biomolecular interactions. While SPR offers the benefits of real-time and label-free detection, it requires expensive and sophisticated optical apparatus and highly trained personnel, thus limiting the accessibility of standard laboratories. In this PhD project, we have developed an alternative and cost-effective biosensor platform exploiting biofunctionalized nanofluidic slits, or nanoslits, combined with a bench-top fluorescence microscope. Our approach enables the visualization of protein interactions in real-time with the possibility to determine associated kinetic parameters along with optimized response times and enhanced binding efficiency. We have demonstrated the effectiveness of our devices through kinetic studies of two representative protein-receptor pairs with different binding affinities: streptavidin-biotin and mouse IgG/anti-mouse IgG interactions. Good agreement of extracted kinetic parameters between our device, SPR measurements and literature values indicated that this approach could be readily applicable to study kinetics of protein interactions with sensitivity down to 1 pM on a large scale of dissociation constants. In addition, we have incorporated a microfluidic gradient generator to our validated nanoslit device, which has allowed one-shot parallel kinetic measurements to be realized in a single-experiment. This integrated system provides advantages of diminished material consumption and analysis time over the conventional kinetic assays. We believe that this innovative technology will drive future advancements not only in the discipline of biomedical and personalized medicine, but also in basic chemical/biological research
Brawner, Keith. "Modeling Learner Mood in Realtime through Biosensors for Intelligent Tutoring Improvements". Doctoral diss., University of Central Florida, 2013. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/5774.
Texto completoPh.D.
Doctorate
Electrical Engineering and Computing
Engineering and Computer Science
Computer Engineering
Shah, Niksha Chimanlal Meghji. "Construction and development of bioluminescent Pseudomonas aeruginosa strains : application in biosensors for preservative efficacy testing". Thesis, University of Hertfordshire, 2014. http://hdl.handle.net/2299/15592.
Texto completoLibros sobre el tema "Real-time biosensors"
Elsom, Jacqueline. Development of a quartz crystal based biosensor for real-time monitoring of particulate cell interactions. 2004.
Buscar texto completoCapítulos de libros sobre el tema "Real-time biosensors"
Haring, Alexander P., Ellen Cesewski y Blake N. Johnson. "Piezoelectric Cantilever Biosensors for Label-free, Real-time Detection of DNA and RNA". En Biosensors and Biodetection, 247–62. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-6911-1_17.
Texto completoBinkowski, Brock F., Frank Fan y Keith V. Wood. "Luminescent Biosensors for Real-Time Monitoring of Intracellular cAMP". En Methods in Molecular Biology, 263–71. Totowa, NJ: Humana Press, 2011. http://dx.doi.org/10.1007/978-1-61779-160-4_14.
Texto completoPalecek, Sean P. "High-Throughput Screening, Microfluidics, Biosensors, and Real-Time Phenotyping". En Stem Cell Engineering, 45–63. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05074-4_3.
Texto completoZheng, Gengfeng y Charles M. Lieber. "Nanowire Biosensors for Label-Free, Real-Time, Ultrasensitive Protein Detection". En Methods in Molecular Biology, 223–37. Totowa, NJ: Humana Press, 2011. http://dx.doi.org/10.1007/978-1-61779-319-6_18.
Texto completoDivyasorubini, Seerpatham, Shyami Menaka Kandage, Senal Liyanage, Charitha Rajapakse y Gayathri N. Silva. "Microbial Biosensors for Real-Time Monitoring of the Bioremediation Processes". En Bioremediation of Environmental Pollutants, 111–44. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86169-8_5.
Texto completovan Wuijckhuijse, Arjan L. y Ben L. M. van Baar. "Recent Advances in Real-time Mass Spectrometry Detection of Bacteria". En Principles of Bacterial Detection: Biosensors, Recognition Receptors and Microsystems, 929–54. New York, NY: Springer New York, 2008. http://dx.doi.org/10.1007/978-0-387-75113-9_36.
Texto completoLiu, Xiaobo, Eduard Dumitrescu y Silvana Andreescu. "Electrochemical Biosensors for Real-Time Monitoring of Reactive Oxygen and Nitrogen Species". En ACS Symposium Series, 301–27. Washington, DC: American Chemical Society, 2015. http://dx.doi.org/10.1021/bk-2015-1200.ch013.
Texto completoGesellchen, Frank, Alessandra Stangherlin, Nicoletta Surdo, Anna Terrin, Anna Zoccarato y Manuela Zaccolo. "Measuring Spatiotemporal Dynamics of Cyclic AMP Signaling in Real-Time Using FRET-Based Biosensors". En Methods in Molecular Biology, 297–316. Totowa, NJ: Humana Press, 2011. http://dx.doi.org/10.1007/978-1-61779-126-0_16.
Texto completoRossi, Michele y Marco Tartagni. "Portable, Integrated Lock-in-Amplifier-Based System for Real-Time Impedimetric Measurements on Nanowires Biosensors". En Beyond-CMOS Nanodevices 1, 73–82. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118984772.ch5.
Texto completoNelson, Carl P. y R. A. John Challiss. "The Use of Translocating Fluorescent Biosensors for Real-Time Monitoring of GPCR-Mediated Signaling Events". En Methods in Molecular Biology, 329–43. Totowa, NJ: Humana Press, 2011. http://dx.doi.org/10.1007/978-1-61779-126-0_18.
Texto completoActas de conferencias sobre el tema "Real-time biosensors"
Vikalo, H. y A. Hassibi. "Estimation in real-time affinity-based biosensors". En 2008 42nd Asilomar Conference on Signals, Systems and Computers. IEEE, 2008. http://dx.doi.org/10.1109/acssc.2008.5074763.
Texto completoChai, Peter R., Rochelle K. Rosen y Edward W. Boyer. "Ingestible Biosensors for Real-Time Medical Adherence Monitoring: MyTMed". En 2016 49th Hawaii International Conference on System Sciences (HICSS). IEEE, 2016. http://dx.doi.org/10.1109/hicss.2016.426.
Texto completoLue, Jiann-Hwa, Ting-Jou Ding, Tsung-Hsun Yang, Jenq-Yang Chang y Wen-Yih Chen. "Real-time monitoring on peptide synthesis by GMR biosensors". En 2011 4th International Conference on Biomedical Engineering and Informatics (BMEI). IEEE, 2011. http://dx.doi.org/10.1109/bmei.2011.6098754.
Texto completoKrishnamurthy, Vikram, Kai Yiu Luk, Bruce Cornell y Don Martin. "Real-Time Molecular Detectors using Gramicidin Ion Channel Nano-Biosensors". En 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07. IEEE, 2007. http://dx.doi.org/10.1109/icassp.2007.366701.
Texto completoShamaiah, Manohar, Xiaohu Shen y Haris Vikalo. "On parameter estimation for diffusion processes in real-time biosensors". En 2010 44th Asilomar Conference on Signals, Systems and Computers. IEEE, 2010. http://dx.doi.org/10.1109/acssc.2010.5757571.
Texto completode Silva, Buddhika, Anirudh Natarajan, Mehul Motani y Kee-Chaing Chua. "A real-time exercise feedback utility with body sensor networks". En 2008 5th International Summer School and Symposium on Medical Devices and Biosensors. IEEE, 2008. http://dx.doi.org/10.1109/issmdbs.2008.4575013.
Texto completoDe, A., J. van Nieuwkasteele, E. T. Carlen y A. van den Berg. "Real-time measurements of PNA:DNA hybridization kinetics with silicon nanowire biosensors". En 2013 Transducers & Eurosensors XXVII: The 17th International Conference on Solid-State Sensors, Actuators and Microsystems (TRANSDUCERS & EUROSENSORS XXVII). IEEE, 2013. http://dx.doi.org/10.1109/transducers.2013.6627386.
Texto completoChang, An-Cheng y Mary B. Tabacco. "Real-time detection of bacterial aerosols by fiber optic-based biosensors". En Environmental and Industrial Sensing, editado por Yud-Ren Chen y Shu-I. Tu. SPIE, 2001. http://dx.doi.org/10.1117/12.418738.
Texto completoGarcía-Rupérez, J., J. G. Castelló, V. Toccafondo y P. Pérez-Millán. "Real-time and low-cost biosensors based on photonic bandgap structures". En SPIE Photonics Europe. SPIE, 2012. http://dx.doi.org/10.1117/12.921934.
Texto completoSoh, Hyongsok T. "Real-time biosensors for continuous measurements of specific biomolecules in vivo". En Integrated Sensors for Biological and Neural Sensing, editado por Hooman Mohseni. SPIE, 2021. http://dx.doi.org/10.1117/12.2580234.
Texto completoInformes sobre el tema "Real-time biosensors"
Delwiche, Michael, Boaz Zion, Robert BonDurant, Judith Rishpon, Ephraim Maltz y Miriam Rosenberg. Biosensors for On-Line Measurement of Reproductive Hormones and Milk Proteins to Improve Dairy Herd Management. United States Department of Agriculture, febrero de 2001. http://dx.doi.org/10.32747/2001.7573998.bard.
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