Process considerations related to the microencapsulation of plasmid DNA via ultrasonic atomization

An effective means of facilitating DNA vaccine delivery to antigen presenting cells is through biodegradable microspheres. Microspheres offer distinct advantages over other delivery technologies by providing release of DNA vaccine in its bioactive form in a controlled fashion. In this study, biodegradable poly(D,L-lactide-coglycolide) (PLGA) microspheres containing polyethylenimine (PEI) condensed plasmid DNA (pDNA) were prepared using a 40 kHz ultrasonic atomization system. Process synthesis parameters, which are important to the scale-up of microspheres that are suitable for nasal delivery (i.e., less than 20 μm), were studied. These parameters include polymer concentration; feed flowrate; volumetric ratio of polymer and pDNA-PEI (plasmid DNA-polyethylenimine) complexes; and nitrogen to phosphorous (N/P) ratio. PDNA encapsulation efficiencies were predominantly in the range 82-96%, and the mean sizes of the particle were between 6 and 15 μm. The ultrasonic synthesis method was shown to have excellent reproducibility. PEI affected morphology of the microspheres, as it induced the formation of porous particles that accelerate the release rate of pDNA. The PLGA microspheres displayed an in vitro release of pDNA of 95-99% within 30 days and demonstrated zero order release kinetics without an initial spike of pDNA. Agarose electrophoresis confirmed conservation of the supercoiled form of pDNA throughout the synthesis and in vitro release stages. It was concluded that ultrasonic atomization is an efficient technique to overcome the key obstacles in scaling-up the manufacture of encapsulated vaccine for clinical trials and ultimately, commercial applications.

Sparse arrays and image compounding techniques for non-destructive testing using guided acoustic waves

Piezoelectric array transducers applications are becoming usual in the ultrasonic non-destructive testing area. However, the number of elements can increase the system complexity, due to the necessity of multichannel circuitry and to the large amount of data to be processed. Synthetic aperture techniques, where one or few transmission and reception channels are necessary, and the data are post-processed, can be used to reduce the system complexity. Another possibility is to use sparse arrays instead of a full-populated array. In sparse arrays, there is a smaller number of elements and the interelement spacing is larger than half wavelength. In this work, results of ultrasonic inspection of an aluminum plate with artificial defects using guided acoustic waves and sparse arrays are presented. Synthetic aperture techniques are used to obtain a set of images that are then processed with an image compounding technique, which was previously evaluated only with full-populated arrays, in order to increase the resolution and contrast of the images. The results with sparse arrays are equivalent to the ones obtained with full-populated arrays in terms of resolution. Although there is an 8 dB contrast reduction when using sparse arrays, defect detection is preserved and there is the advantage of a reduction in the number of transducer elements and data volume. © 2013 Brazilian Society for Automatics - SBA.

Guidelines for ultrasonic inspection of hanger pins /

"July 2004."

Signal processing techniques for ultrasonic inspection

This thesis discusses the need for nondestructive testing and highlights some of the limitations in present day techniques. Special interest has been given to ultrasonic examination techniques and the problems encountered when they are applied to thick welded plates. Some suggestions are given using signal processing methods. Chapter 2 treats the need for nondestructive testing as seen in the light of economy and safety. A short review of present day techniques in nondestructive testing is also given. The special problems using ultrasonic techniques for welded structures is discussed in Chapter 3 with some examples of elastic wave propagation in welded steel. The limitations in applying sophisticated signal processing techniques to ultrasonic NDT~ mainly found in the transducers generating or receiving the ultrasound. Chapter 4 deals with the different transducers used. One of the difficulties with ultrasonic testing is the interpretation of the signals encountered. Similar problems might be found with SONAR/RADAR techniques and Chapter 5 draws some analogies between SONAR/RADAR and ultrasonic nondestructive testing. This chapter also includes a discussion on some on the techniques used in signal processing in general. A special signal processing technique found useful is cross-correlation detection and this technique is treated in Chapter 6. Electronic digital compute.rs have made signal processing techniques easier to implement -Chapter 7 discusses the use of digital computers in ultrasonic NDT. Experimental equipment used to test cross-correlation detection of ultrasonic signals is described in Chapter 8. Chapter 9 summarises the conclusions drawn during this investigation.

Preparation and characterization of poly(lactic-co-glycolic acid) microparticles containing DNA molecules encoding a malaria vaccine candidate

Background A novel ultrasonic atomization approach for the formulation of biodegradable poly(lactic-co-glycolic acid) (PLGA) microparticles of a malaria DNA vaccine is presented. A 40 kHz ultrasonic atomization device was used to create the microparticles from a feedstock containing 5 volumes of 0.5% w/v PLGA in acetone and 1 volume of condensed DNA which was fed at a flow rate of 18ml h-1. The plasmid DNA vectors encoding a malaria protein were condensed with a cationic polymer before atomization. Results High levels of gene expression in vitro were observed in COS-7 cells transfected with condensed DNA at a nitrogen to phosphate (N/P) ratio of 10. At this N/P ratio, the condensed DNA exhibited a monodispersed nanoparticle size (Z-average diameter of 60.8 nm) and a highly positive zeta potential of 38.8mV. The microparticle formulations of malaria DNA vaccine were quality assessed and it was shown that themicroparticles displayed high encapsulation efficiencies between 82-96% and a narrow size distribution in the range of 0.8-1.9 μm. In vitro release profile revealed that approximately 82% of the DNA was released within 30 days via a predominantly diffusion controlledmass transfer system. Conclusions This ultrasonic atomization technique showed excellent particle size reproducibility and displayed potential as an industrially viable approach for the formulation of controlled release particles.

Detection and Characterization of Long-Pulse Low-Velocity Impact Damage in Plastic Bonded Explosives

Damage not only degrades the mechanical properties of explosives, but also influences the shock sensitivity, combustion and even detonation behavior of explosives. The study of impact damage is crucial in the vulnerability evaluation of explosives. A long-pulse low-velocity gas gun with a gas buffer was developed and used to induce impact damage in a hot pressed plastic bonded explosive. Various methods were used to detect and characterize the impact damage of the explosive. The microstructure was examined by use of polarized light microscopy. Fractal analysis of the micrographs was conducted by use of box counting method. The correlation between the fractal dimensions and microstructures was analyzed. Ultrasonic testing was conducted using a pulse through-transmission method to obtain the ultrasonic velocity and ultrasonic attenuation. Spectra analyses were carried out for recorded ultrasonic signals using fast Fourier transform. The correlations between the impact damage and ultrasonic parameters including ultrasonic velocities and attenuation coefficients were also analyzed. To quantitatively assess the impact induced explosive crystal fractures, particle size distribution analyses of explosive crystals were conducted by using a thorough etching technique, in which the explosives samples were soaked in a solution for enough time that the binder was totally removed. Impact induces a large extent of explosive crystal fractures and a large number of microcracks. The ultrasonic velocity decreases and attenuation coefficients increase with the presence of impact damage. Both ultrasonic parameters and fractal dimension can be used to quantitatively assess the impact damage of plastic bonded explosives.

Immersioultraäänitutkimuksen kehittäminen

Teräksenvalmistajilta edellytetään jatkuvasti panostusta laadun ja laadunvarmistuksen kehittämiseen. Teräksen laatu ja puhtaus korostuvat varsinkin silloin, kun terästä käytetään vaativiin käyttökohteisiin, kuten autoteollisuuden tarpeisiin. Ultraäänitarkastusmenetelmää käytetään laadun-varmistuksessa teräksen sisävikojen etsimiseen. Ultraäänitarkastuksessa lähetetään suuritaajuuksista ääntä kappaleeseen. Ääni etenee materiaalissa ja heijastuu erilaisista epäjatkuvuuskohdista. Luotaimeen palaavaa ääntä analysoimalla saadaan tietoa teräksestä ja sen sisävioista. Ultraäänitarkastuksen ongelmana on vian tyypin määrittäminen hankaluus sekä herkkyys tutkittavan materiaalin aineominaisuuksille. Työn tavoitteena oli immersioultraäänitarkastuksen kehittäminen sovellettuna teräksenvalmistajan tarpeisiin. Materiaalin aineominaisuuksista tutkittiin seostuksen vaikutusta. Teräslajit tarkastettiin valssitilaisena, karkaistuna ja normalisoituna. Lisäksi tutkittiin kappaleen pinnankarheuden ja -muodon vaikutusta tarkastukseen. Vikatyyppien tunnistamisen mahdollisuuksia ultra-äänitarkastuksessa selvitettiin käyttäen FFT- taajuusanalyysiä. Erilailla lämpökäsitellyillä teräslajeilla näytti eniten tuloksiin vaikuttavan terästen raekoko. Valssitilaisilla teräksillä raekoko on suuri, jolloin ultraääni vaimenee voimakkaasti teräksessä. Huomattavaa kuitenkin oli, että mikäli lämpö-käsittelyillä ei teräksen raekokoa saada juuri pienennettyä, ei myöskään vaimeneminen vähene. Tämän vuoksi lämpökäsittely ei välttämättä ole aina tarpeellinen valmisteltaessa ultraääninäytteitä. Fourier’n taajuusanalyysissä huomattiin olevan eroavaisuuksia verrattaessa huokosista ja sulkeumista palaavien kaikujen taajuusspektrejä. Näiden tulosten perusteella näyttäisi olevan mahdollista käyttää FFT- menetelmää ultraääni-tarkastuksessa vikojen luokitteluun.

ANALYSIS & STUDY OF AI TECHNIQUES FORAUTOMATIC CONDITION MONITORING OFRAILWAY TRACK INFRASTRUCTURE : Artificial Intelligence Techniques

Since the last decade the problem of surface inspection has been receiving great attention from the scientific community, the quality control and the maintenance of products are key points in several industrial applications.The railway associations spent much money to check the railway infrastructure. The railway infrastructure is a particular field in which the periodical surface inspection can help the operator to prevent critical situations. The maintenance and monitoring of this infrastructure is an important aspect for railway association.That is why the surface inspection of railway also makes importance to the railroad authority to investigate track components, identify problems and finding out the way that how to solve these problems. In railway industry, usually the problems find in railway sleepers, overhead, fastener, rail head, switching and crossing and in ballast section as well. In this thesis work, I have reviewed some research papers based on AI techniques together with NDT techniques which are able to collect data from the test object without making any damage. The research works which I have reviewed and demonstrated that by adopting the AI based system, it is almost possible to solve all the problems and this system is very much reliable and efficient for diagnose problems of this transportation domain. I have reviewed solutions provided by different companies based on AI techniques, their products and reviewed some white papers provided by some of those companies. AI based techniques likemachine vision, stereo vision, laser based techniques and neural network are used in most cases to solve the problems which are performed by the railway engineers.The problems in railway handled by the AI based techniques performed by NDT approach which is a very broad, interdisciplinary field that plays a critical role in assuring that structural components and systems perform their function in a reliable and cost effective fashion. The NDT approach ensures the uniformity, quality and serviceability of materials without causing any damage of that materials is being tested. This testing methods use some way to test product like, Visual and Optical testing, Radiography, Magnetic particle testing, Ultrasonic testing, Penetrate testing, electro mechanic testing and acoustic emission testing etc. The inspection procedure has done periodically because of better maintenance. This inspection procedure done by the railway engineers manually with the aid of AI based techniques.The main idea of thesis work is to demonstrate how the problems can be reduced of thistransportation area based on the works done by different researchers and companies. And I have also provided some ideas and comments according to those works and trying to provide some proposal to use better inspection method where it is needed.The scope of this thesis work is automatic interpretation of data from NDT, with the goal of detecting flaws accurately and efficiently. AI techniques such as neural networks, machine vision, knowledge-based systems and fuzzy logic were applied to a wide spectrum of problems in this area. Another scope is to provide an insight into possible research methods concerning railway sleeper, fastener, ballast and overhead inspection by automatic interpretation of data.In this thesis work, I have discussed about problems which are arise in railway sleepers,fastener, and overhead and ballasted track. For this reason I have reviewed some research papers related with these areas and demonstrated how their systems works and the results of those systems. After all the demonstrations were taking place of the advantages of using AI techniques in contrast with those manual systems exist previously.This work aims to summarize the findings of a large number of research papers deploying artificial intelligence (AI) techniques for the automatic interpretation of data from nondestructive testing (NDT). Problems in rail transport domain are mainly discussed in this work. The overall work of this paper goes to the inspection of railway sleepers, fastener, ballast and overhead.

Desenvolvimento de um sistema para análise de integridade estrutural de equipamentos estáticos baseado em cad vps micro cracks e ultrassom

In general, the designs of equipment takes into account the effects and processes of deterioration it will undergo and arrives at an approximate useful life. However, changes in operational processes and parameters, the action of external agents, the kind of maintenance conducted, the means of monitoring, and natural and accidental occurrences completely modify the desired performance of the equipment. The discontinuities that occur in anisotropic materials often and due to different factors evolve from being subcritical to critical acquiring the status of defect and compromising the physical integrity of the equipment. Increasingly sophisticated technological means of detection, monitoring and assessment of these discontinuities are required to respond ever more rapidly to the requirements of industry. This paper therefore presents a VPS (Virtual Pipe System) computational tool which uses the results of ultrasonic tests on equipment, plotting the discontinuities found in models created in the CAD and CAE systems, and then simulates the behavior of these defects in the structure to give an instantaneous view of the final behavior. This paper also presents an alternative method of conventional ultrasonic testing which correlates the integrity of an overlay (carbon steel and stainless steel attached by welding) and the reflection of ultrasonic waves coming from the interface between the two metals, thus making it possible to identify cracks in the casing and a shift of the overlay

Potential use of ultrasound in chemical monitoring /

"Cooperative agreement no. CR818353."

Evaluation of Ohmic Instrument Company model UPM-30 ultrasound power meter /

Mode of access: Internet.

Hitsauksen reaaliaikaisen NDT-tarkastuksen nykytilanne

Tämän kandidaatintyön tarkoituksena on selvittää hitsien tarkastukseen käytettyjen NDT-menetelmien nykytilannetta. Työssä kerrotaan mitä reaaliaikainen NDT-tarkastus on ja mitä menetelmiä siihen voidaan käyttää. Työn tarkoituksena on antaa lukijalle kokonaiskuva NDT-tarkastuksen nykytilasta ja siinä käytettävistä menetelmistä. Tutkimus suoritettiin kirjallisuuskatsauksena. Kirjallisuuskatsaus on luonteeltaan toteava. Lähteiden etsintä suoritettiin suurimmalta osin Internet-hakuna. NDT-tarkastusmenetelmät voidaan jakaa kahteen pääkategoriaan; pinta- ja volumetrisiin menetelmiin. Kaikki tarkastusmenetelmät eivät sovellu reaaliaikaiseen tarkastukseen. Hitsien tarkastuksessa käytetyimmät reaaliaikaiset menetelmät ovat: ultraäänitarkastus, radiografinen tarkastus, optinen spektroskopia, termografia ja pyörrevirtatarkastus. Kaikilla reaaliaikaisilla menetelmillä on omat vahvuutensa ja heikkoutensa. Työssä esitetään myös CASE-esimerkkejä reaaliaikaisesta hitsien tarkastamisesta.Tärkeimpinä johtopäätöksinä voidaan nähdä se, että hitsien NDT-tarkastuksen onnistuminen on aina hyvin tapauskohtaista ja riippuu useista muuttujista. Tästä syystä tällä hetkellä NDT-tarkastusmenetelmistä ei voi valita parasta kaikkiin käyttökohteisiin sopivaa menetelmää. Monessa prosessissa NDT-tarkastustehokkuutta ei määritä mekaanisen laitteiston mittaustarkkuus, vaan tulosten analysointiin käytettyjen algoritmien tehottomuus. Tutkimuksessa esitetään myös idea hybridi-NDT-tarkastusjärjestelmästä, jolla saataisiin havaittua tehokkaasti sekä pinta-että volumetrisia virheitä.

Ultrasonic non-destructive testing of plate-like structures using piezoelectric array transducers

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Evaluation of a K. J. Law Model 8300 Ultrasonic Roughness Testing Device. Final report.

Federal Highway Administration, Washington, D.C.