The subject disclosure relates generally to the field of sample preparation. More particularly, the subject disclosure relates to devices, systems and methods for fractionating and concentrating substances within a fluid sample.
The difficulties of detecting and quantifying particles in air and liquids are well known. Existing systems all begin to fail as concentration falls away until eventually, with diminished concentrations of analyte, there is an inability to detect at all. This poses a significant problem for national security where, for example, the postal anthrax attacks of 2001 and the subsequent war on terrorism have revealed shortcomings in the sampling and detection of biothreats. The medical arts are similarly affected by the existing limits on detection, as are the environmental sciences.
In the fields of biodefense and aerosol research it is common to collect aerosols into a liquid sample using a wet cyclone or similar device. The aerosol is collected into an aqueous sample so that subsequent analysis of biological particles can be performed using standard techniques that primarily require that the sample be contained in liquid. These “wet” collectors have many failings, including: difficulty in maintaining a set fluid volume, difficulties with buildup of particle matter in the device, and requirements for storage of the fluid in varying environmental conditions.
Dry filters have long been used for collection of aerosols, as well as for collection of particles from liquids. However, dry filters fail primarily for the use of identifying biological particles because detectors generally require a liquid sample and it is extremely difficult to remove the particles into a liquid. Methods for removing particles from flat filters are common but are tedious, inefficient, and require large liquid volumes.
Concentration of particles from a liquid is traditionally performed using centrifugation. Centrifugal force is used for the separation of mixtures according to differences in the density of the individual components present in the mixture. This force separates a mixture forming a pellet of relatively dense material at the bottom of the tube. The remaining solution, referred to as the supernate or supernatant liquid, may then be carefully decanted from the tube without disturbing the pellet, or withdrawn using a Pasteur pipette. The rate of centrifugation is specified by the acceleration applied to the sample, and is typically measured in revolutions per minute (RPM) or g-forces. The particle settling velocity in centrifugation is a function of the particle's size and shape, centrifugal acceleration, the volume fraction of solids present, the density difference between the particle and the liquid, and viscosity of the liquid.
Problems with the centrifugation technique limit its applicability. The settling velocity of particles in the micron size range is quite low. Consequently, centrifugal concentration of these particles takes several minutes to several hours. The actual time varies depending on the volume of the sample, the equipment used, and the skill of the operator.
Centrifugation techniques are tedious in that they are normally made up of multiple steps each requiring a high level of concentration from the operator. Most microbiology laboratories process large numbers of samples by centrifugation on a daily basis. The potential for human error is high due to the tedious nature and automation of these techniques is difficult and costly. Centrifugation also generally requires powered equipment. Thus, many situations, such as emergency response, prevent their use.
Other concentration techniques have been explored and primarily fall into three technology groups—microfluidic/electrophoretic based, filtration based, and capture based. However, each of these techniques has disadvantages that prevent their use in certain situations.
In light of the limitations of conventional techniques, what is needed is a single device for fractionating and concentrating a fluid sample into several component concentrations.
In so doing, the present subject disclosure presents novel, rapid, efficient one-pass membrane filter based fractionation and concentration devices, systems and methods that fractionate and concentrate particles, and especially biological particles suspended in liquid from a dilute feed suspension (“feed”) into size fractioned and concentrated sample suspensions (retentate), eliminating the separated fluid (permeate) in a separate stream. The subject disclosure is particularly useful for the fractionation and concentration of suspended biological particles, such as proteins/toxins, viruses, DNA, and bacteria in the size range of approximately 0.001 micron to 20 microns diameter. Concentration of these particles is advantageous for detection of target particles in a dilute suspension, because concentrating them into a small volume makes them easier to detect. Fractionation is performed in “cascade” fashion, in order to concentrate particles below the size cut of each preceding stage remaining in the separated fluid in a concentrated sample suspension. This process can also be used to create a “band-pass” concentration for concentration of a particular target size particle within a narrow range. The device uses pressure on the feed side, vacuum on the permeate side, and/or mechanical shear to accelerate the separation process, and may include an added surfactant to increase efficiency. Integrated pneumatic, hydraulic, or mechanical valving and a novel vacuum startup procedure allow for startup of wet membranes while reducing liquid hold-up volume in the device. The cascade filter stack is unique in that the sample flow is perpendicular to the surface of a stack of filters, in series, enclosed in a housing with only a small open interstitial space between each filter with elution of the filters performed by a simultaneous wet foam elution performed parallel, or tangential, to the retentate filter surface through the small interstitial space. Foam elution is performed simultaneously one each of the filter stages, so that transmembrane pressure across each membrane during elution remains essentially zero or near to it. In this way, flow of elution fluid through the membranes is eliminated or significantly reduced, so that the tangential flow velocity and elution efficiency are maximized. The extraction foam can be prepared from pressurized gas and a surfactant dissolved in the collection fluid.
In one exemplary embodiment, the present subject disclosure is a device for fractionation and concentration of particles from a fluid sample. The device includes a cartridge containing staged filters having porous surface in series of decreasing pore size for capture of particles from a fluid sample; and a permeate pressure source in fluid communication with the cartridge; wherein the particles are eluted from the porous surfaces and dispensed in a reduced fluid volume.
In another exemplary embodiment, the present subject disclosure is a system for fractionation and concentration of particles from a fluid sample. The method includes a reservoir holding a fluid sample; a fractionation and concentration cartridge including two or more staged filters; a permeate pressure device in fluid communication with the cartridge; a concentrating unit including an actuating integral valving to move sample through the cartridge; and a fluid dispenser source for collecting concentrated samples from the cartridge staged filters; wherein the fluid sample is moved through the concentrating unit, then the concentrated samples are eluted from the filters and dispensed.
In yet another exemplary embodiment, the present subject disclosure is a system for rapid fractionation and concentration of particles from a fluid sample. The system includes introducing a sample into the sample reservoir; initiating a fractionation and concentration cycle; passing the fluid sample through a series of filters; eluting a plurality of particles of decreasing particle size from each filter stage; and extracting a concentrated sample from each filter stage.
The present subject disclosure relates generally to the fields of bioterrorism security, medicine, and environmental science. Rapid, reliable detection of airborne biothreats is a significant need for the protection of civilians and military personal from pandemic outbreaks and bioterrorist events. Best in class biothreat detection systems use aerosol collectors to capture particles into a liquid volume in the range of 2 to 12 mL. Samples are then processed using a number of sample preparation techniques and analyzed by rapid microbiological methods, including real-time quantitative polymerase chain reaction (qPCR) and ultra-high throughput sequencing (UHTS) and/or gold-standard culture based methods. While the state of the art for rapid detectors, collectors, and identifiers has advanced dramatically in recent years, advancement of sample preparation techniques has lagged significantly and considerable improvements are needed in these techniques.
Detect/collect/identify systems for airborne biothreats must operate correctly in all types of indoor and outdoor environments. Urban, industrial, and rural outdoor environments as well indoor environments range from very low to very high particle concentrations. Detection of threats in these varied environments often hinges on the ability of the system to capture and identify rare threat particles in what can be a highly varied, complex mixture of organic and inorganic debris particles, innocuous microbes, pollen, fungal spores, and mammalian cells.
Better automated sample preparation techniques are needed so problems currently associated with detection of rare particles in complex environmental samples can be overcome. Inhibition of identification techniques due to environmental debris is a common problem with these systems due to the varied, high-level complex mixtures of particle and chemical inhibitors. UHTS, qPCR, and other rapid detection techniques can also fail due to high levels of background clutter. Breakdown of bioinformatic systems used for UHTS data analysis due to high background clutter levels is one of the biggest hurdles that must be overcome before cutting-edge sequencing can be adapted to autonomous biothreat detection applications. There is also a significant requirement to be able to differentiate between target agents coming from whole, viable cells and those present as free DNA or free proteins. The inability to rapidly determine if the target particle is a whole viable cell or is only present as free DNA or protein signature, as is the norm in today's biothreat detection systems, does not allow organizations to differentiate between what may be an actual terrorist event from potentially catastrophic false alarms associated with hoaxes or natural events.
Aerosol samples and other samples of importance (e.g., surface, liquid, clinical, food, etc.), often contain a significant amount and wide range of non-target debris including organic and inorganic matter and biological materials. As described above, these non-target materials can significantly affect the performance of sample preparation and agent identification techniques with a common side effect of inhibition. Conventional sample preparation techniques exist for removing these inhibitors, but they are slow and perform best when volumes of only a few hundred microliters are processed—demonstrating the mismatch between collected sample size and the volume that can be processed and analyzed by available technologies. This mismatch raises the true system detection limit to levels significantly higher than the desired detection limit and creates a significant likelihood of false negative results when, as would typically be the case, only trace levels of signature are present.
A wide range of existing, and developing, rapid analysis platforms are potentially useful technologies for detection and identification needs. Detection and identification may key on whole organisms, nucleic acids, or proteins. Culture based analysis, antibiotic susceptibility testing, and functional assays all require live organism samples. Common nucleic acid techniques include qPCR, UHTS, and hybridization arrays. ELISA and other immunoassay techniques, mass spectrometry, chromatography techniques, and other techniques may be used for protein analysis. There are significant reasons in some cases to choose one of these techniques over the other or in some cases to analyze with more than one technique. Additionally some techniques lend themselves to use in autonomous detection platforms and some are used only in laboratory settings. Further, it is difficult to determine what techniques may receive precedence in the near future as costs fall or new improved methods are developed. This difficulty in determining what detection and identification system may be used warrants the need for a plug-and-play type of sample preparation system that is capable of delivering the needed sample fractions in a concentrated form for each potential type of analysis.
Robust, fast, and sensitive detection systems are needed, but currently most systems fail to meet these needs due to deficiencies in sample preparation. The sample preparation system must be capable of autonomous operation for a month or more without maintenance. The same environmental particles and inhibitors that commonly cause issues with the identifier can also lead to failure of the sample preparation system, especially after repeated use over extended periods of time. The time required for the sample preparation methods used for these complex samples is a large portion of the total time needed for identification and, even so, the methods are only capable of processing a very small portion of the available sample.
The present subject disclosure presents a novel technique of fractionating multiple components simultaneously. It may be used in numerous fields, including, but not limited to, bioterrorism detection. For example, exemplary and specific fields of use include, but are not limited to:
The present subject disclosure may be used to assist in identifying agents from the following lists:
List 1: CDC Category A and B Bioterrorism Agents List
Anthrax (Bacillus anthracis)
Botulism (Clostridium botulinum toxin)
Plague (Yersinia pestis)
Smallpox (variola major)
Tularemia (Francisella tularensis)
Viral hemorrhagic fevers (filoviruses [e.g., Ebola, Marburg] and arenaviruses [e.g., Lassa, Machupo])
Brucellosis (Brucella species)
Epsilon toxin of Clostridium perfringens
Food safety threats (e.g., Salmonella species, Escherichia coli O157:H7, Shigella)
Glanders (Burkholderia mallei)
Melioidosis (Burkholderia pseudomallei)
Psittacosis (Chlamydia psittaci)
Q fever (Coxiella burnetii)
Ricin toxin from Ricinus communis (castor beans)
Staphylococcal enterotoxin B
Typhus fever (Rickettsia prowazekii)
Viral encephalitis (alphaviruses [e.g., Venezuelan equine encephalitis, eastern equine encephalitis, western equine encephalitis])
Water safety threats (e.g., Vibrio cholerae, Cryptosporidium parvum)
List 2: Secondary Potential Biological Threat Agents
Flaviviruses (Yellow fever virus, West Nile virus, Dengue, Japanese Encephalitis,
Nipah virus
Rabies virus
Rhinovirus (could be modified?)
Mycobacterium tuberculosis, drug resistant
Mycobacteria other than TB, like C. leprae
Streptococcus pneumoniae
S. pyogenes
S. aureus
Clostridium tetani
C. difficile
Bacillus cereus
Coxiella brunette (Q fever)
Francisella tularensis
Borrelia recurrentis
Rickettsia rickettsii
R. prowazekii
Shigella sonnei
Bartonella henselae
Yersinia enterolitica
Y. pseudotuberculosis
Neisseria meningitidis
Legionella pneumophila
Burkholderia pseudomallei
Pasteurella multocida
Cryptosporidium parvum
Histoplasma capsulatum
Cryptococcus neoformans
Aspergillus niger
Alternaria alternate
Apophysomyces elegans
Aspergillus terreus
Bipolaris spicifera
Blastoschizomyces capitatus
Candida krusei
Candida lusitaniae
Cladophialophora bantiana
Cunnihamella berholletiae
Curvularia lunata
Exserohilum rostratum
Fusarium moniliforme
Fusarium solani
Hansenula anomala
Lasiodilodia theobromae
Malassezia furfur
Paecilomyces lilacinus
Paecilomyces bariotii
Penicillium marneffei
Phialemonium curvatum
Philophora parasitica
P. richardsiae
Rhizomucor pusillus
Rhizopus rhizopodiformus
Rhodotorula rubra
Saccharomyces cerevisiae
Scedosporium prolificans
Trichosporon beigelii (T. asahii)
Wangiella dermatitidis
The present subject disclosure may be used to assist in identifying various agents of varying sizes:
The U.S. public health system and primary healthcare providers must be prepared to address various biological agents, including pathogens that are rarely seen in the United States. High-priority agents include organisms that pose a risk to national security because they
Second highest priority agents include those that
Third highest priority agents include emerging pathogens that could be engineered for mass dissemination in the future because of
Target:
Bacillus thuringiensis endospore -
Bacillus anthracis endospore -
Yersinia pestis -
Yersinia rohdei -
Specific fields of use in the medical field include, but are not limited to:
Specific fields of use in the environmental studies field include, but are not limited to:
[similar to outline above, modified to fit the environmental applications]
The present subject disclosure has been developed as a unique membrane filter based fractionation and concentration system that is capable of separating particles by size and concentrating those particles into small (<100 μL) sample volumes. A novel approach was developed in which the membrane filters are stacked, in order of decreasing pore size, inside a single cartridge with a small interstitial space, or in some cases a solid filter support and further reduced interstitial space, between each membrane filter. Sample flow is introduced perpendicular to the first filter surface and is pushed or pulled, in series, directly through each of the membrane in the cartridge. Because the cartridge can be designed for reuse, and because wet hydrophilic membrane filters will not allow air to flow through at pressures below the bubble point, a novel vacuum startup method is used to allow air to be removed from the interstitial space and other internal volume, so that the sample process can be initiated. A series of channels and associated valves, integral to the cartridge, are used to link each stage back to a pump to allow for negative pressure to be pulled on the system.
After negative pressure has been pulled on the system, the sample flow is introduced as described above. The entire sample is flowed through the cartridge, until air reaches the first membrane filter and the system locks up. The vacuum startup valves are then actuated one by one to allow the remaining fluid to be pushed through the remaining membrane filters. When then entire sample volume has been processed then the cartridge inlet and outlet valves are closed and a retentate valve is opened on each stage. A wet carbonated foam is then introduced into one end of the cartridge, which subsequently travels the length of the cartridge, tangential to the retentate surface of each membrane. Finally the foam is dispensed out of the retentate port into a separate sample container for each membrane filter. The foam then breaks down into a liquid leaving a small concentrate fraction associated with each membrane filter stage.
The subject disclosure of the present application, which describes liquid-to-liquid fractionation and concentration devices, systems and methods, provides a novel means of rapidly and efficiently separating and then concentrating biological samples. Significant advantages are offered over current methods including, but not limited to: improved separation efficiency, improved concentration efficiency, shorter process times, automation, and integration into automated systems. Like centrifugation, filtration, and the other conventional methods, this present technique concentrates the collected sample prior to analysis, but with many further advantages, including but not limited to: 1) the liquid volume of the sample is quickly reduced. Unlike centrifugation, which typically takes 10 to 30 minutes to concentrate micron-sized particles, this process can be accomplished in 5 to 60 seconds for a 10 mL initial volume. Unlike conventional hollow fiber filter concentration, in which the initial sample is recycled many times through the filter taking from several minutes to hours in order to concentrate a particle such as a protein or enzyme into a volume of several milliliters, the sample is passed straight through in one pass. This results in a much smaller volume of liquid on the order of 100 to 400 microliters, or passed straight through in dead-end fashion and then extracted in a volume of liquid or foam in the range of 4 to 400 microliters. Unlike typical single-pass flat filtration, the sample remains in liquid form for transport and analysis. The detection limit for the target agent is lowered, with respect to the media originally sampled. 2) The final sample volume is reduced much further than in previously known methods, while kept in liquid form, allowing detection in devices such as multi-well plate readers that utilize small input samples. 3) The reduced-size samples can be more efficiently stored and transported by microfluidic handling methods. 4) The device can be constructed to separate particles in one pass into different size fractions for analysis for certain agents. For example, cells and spores can be concentrated separately from viruses and biological toxins. Further, the size range that is concentrated can be narrow, or “band-pass” to concentrate a small size range fraction from a complex matrix, such as an environmental sample 5) The device can be used to reduce the onboard fluid storage capacity of aerosol samplers, by recycling the cleaned liquid back to the collection cycle after the sampled particles are removed into a small volume for analysis. 6) This device is much more readily adapted to automated systems than other technologies including centrifugation, flat filtration, and other methods. The flow-through nature of the device allows for straightforward configuration into an automated detection system. 7) This device is significantly more robust in nature than new microfluidic concentration systems such as dielectrophoresis concentration systems. Dielectrophoresis systems developed by Sandia have internal flow paths of small diameters that can create significant clogging during processing of fluids with high particle concentrations. Commercially available hollow fiber filters, while possessing pores of up to a maximum of approximately 0.5 μm diameter, will take significantly longer to clog, due to the high number of pores and the tangential flow cleaning with the preferred surfactant foam. 8) The InnovaPrep system is much smaller than any commercially available liquid to liquid concentrator. Necessary components can be arranged in such a way as to take advantage of any empty space in the system being integrated. 9) The device it made almost entirely of low cost, readily available components. This significantly lowers the cost of integration and makes it more practical than other methods concentration.
An exemplary embodiment of a device according to the present subject disclosure is presented in
It should be noted that although the exemplary embodiment shown in
Once the device 100 is properly aligned with alignment pins 104 and securely fastened with bolts 103, a fluidic internal volume 200 is created with numerous chambers, passageways and connections. Such internal fluid volume 200 is shown in
Internal fluidic volume 200 shows various paths for the fluidic stack 108 assembly for a five stage concentrator. 202, 204 and 206 are pneumatic control lines, and used to control filter stage 1 bypass valve (humic acid removal) 202, Filter stage 2 bypass valve (prefilter) 204, and decontamination isolation valves 206.
Various fluid lines include the decontamination fluid outlet port 208, the filter stage 3 retentate port (concentration stage 1) 210, the filter stage 1 retentate port (Humic acid removal) 212, the filter stage 4 retentate port (concentration stage 2) 214, the filter stage 2 retentate port (Prefilter) 216, and the filter stage 5 retentate port (concentration stage 3) 218.
Further pneumatic control lines include the filter stage 5 bypass valve (Concentration stage 3) 220, filter stage 4 bypass valve (concentration stage 2) 222, filter stage 3 bypass valve (concentration stage 1) 224, and the master filter isolation valve 226.
Further fluid lines include the gas flush port 228, the foam injection port 230, the sample inlet port 232, the sample outlet port (permeate) 234, and the decontamination fluid inlet port 236. Part of the pneumatic control line is the feed/permeate isolation valve 238. Finally, the various filter stages include filter stage 1 250, filter stage 2 252, filter stage 3 254, filter stage 4 256, and filter stage 5 258.
All of the components and internal fluid channels for the five stage fluidic stack shown in
For sake of completeness, the components of the two stage fluidics internal volume 300 include:
For sake of completeness, the components of the three stage fluidics internal volume 400 include:
A process flow diagram for an exemplary system according to the present subject disclosure is presented in
When the vacuum startup is complete the sample is processed through a PVPP column for humic removal followed by Cartridge A 520, 601. Fluid then flows through all four stages of Cartridge A 520, 601 in a single pass. Because the interstitial space between membranes 606 is small (less than 300 μL) and because the membranes are arranged in series the total hold-up volume in Cartridge A 520, 601 will be less than 1.5 mL with a processing rate that is limited primarily only by the slowest membrane in the cartridge. Total time to process a 10 mL sample through the humic removal column and Cartridge A 510, 601 is approximately 10 minutes. When the all of the liquid sample passes through the Stage A.1 511 membrane the system will lock up since air will not pass through a wet hydrophilic membrane. A Liquid Flow Switch is then used to determine when the system has locked up and air pressure is applied to the next stage so that liquid can be pushed through the next membrane filter. This process is continued until all the liquid has been evacuated from the system.
When the entire sample has been processed each Stage is extracted simultaneously. By performing the extraction process simultaneously, pressures across each membrane are balanced and flow through the membranes does not occur since the pressure is equal on both sides. This process provides for the best possible concentration efficiencies with the smallest resulting extraction volume. The extraction process takes place by opening and closing a single extraction fluid valve connected, through internal cartridge fluidics, to each stage. The valve is opened for a short period of time (15 to 50 msec) to allow extraction fluid to be dispensed rapidly into the interstitial space between each membrane. Once dispensed the extraction fluid quickly forms wet, viscous foam that travels the length of the membrane and is dispensed into separate capture reservoirs for each stage.
Concentrates released from Cartridge A 510 will include fractions containing environmental waste debris for disposal, whole cells, free nucleic acids, and free proteins. The whole cell concentrate from Cartridge A 510 will be split into an archived sample and a sample available for secondary processing. The sample available for secondary processing is then processed using a flow-though mechanical cell lysis system. A wet foam elution flush is performed post-lysis to ensure highly efficient and rapid removal of lysed material from the lysis system. The subsequent volume of approximately 1 mL of lysed material is then be processed in Cartridge B 540.
Cartridge B 540 operation will essentially be identical to that of Cartridge A 510 with the exception that it will only have three membrane stages. In Stage 1 544 the cellular debris created during the lysis process will be removed. Stage 2 548 will capture nucleic acids. Stage 3 will capture proteins 550.
A detailed 24-step process diagram for a single cartridge fractionation/concentration instrument operation is provided in
The initial state is shown in
Step 1 is shown in
Step 2 is shown in
Step 3 is shown in
Step 4 is shown in
Step 5 is shown in
Step 6 is shown in
Step 7 is shown in
Step 8 is shown in
Step 9 is shown in
Step 10 is shown in
Step 11 is shown in
Step 12 is shown in
Step 13 is shown in
Step 14 is shown in
Step 15 is shown in
Step 16 is shown in
Step 17 is shown in
Step 18 is shown in
Step 19 is shown in
Step 20 is shown in
Step 21 is shown in
Step 22 is shown in
Step 23 is shown in
Step 24 is shown in
The foam extraction process is summarized below. Sample extraction can be performed into a small volume using foam made from the extraction surfactant. This procedure cleans the concentrator, while simultaneously enhancing extraction efficiency and allowing for greatly reduced retentate volumes. A small volume of liquid can be used to create a large volume of foam. Since the boundaries of the bubbles present in the foam must remain intact to remain a foam, the boundaries of the bubbles at the interface of the filter and the extraction foam must always be touching. As the foam sweeps tangentially across the surface of the filters, it sweeps the concentrate through the device. When the foam is extracted from the device and collapses, the remaining product is a small volume of liquid. This volume can be in a range of less than 5 microliters to 1 milliliter. In its simplest form, the foam may be made in a separate container, and then injected to sweep the sample from the concentrator into the sample collection port. However, the use of a sample loop to measure the amount of liquid used to make the foam is preferred in order to generate samples of consistent size. In addition to surfactant foams that are generated by mixing air and a surfactant solution the foam may also be generated with a carbonated surfactant solution. Following carbonation, the solution is agitated by dispensing through an orifice, frit, filter, or capillary tube. The surfactant foam extraction methods described here can also be used for extraction and cleaning of other collection surfaces in aerosol samplers and collectors. The use of foam to extract these surfaces can provide a significant increase in extraction efficiency and significant decrease in final sample volume. Foam made using pressurized carbon dioxide has been shown in our experiments to be compatible with collection of viable Bacillus atrophaeus spores. A US Army Natick Research and Development Engineering Center report, Natick/TR-94/019, also indicates that Bacillus stereothermophilus spore suspensions in buffered carbonated solutions were not harmed, but that germination was inhibited. This inhibition was reversed upon plating for enumeration. It is also known that carbon dioxide inhibits the growth of many microorganisms. This fact has been exploited in preventing bacterial food spoilage in food by using modified atmosphere packing (MAP, e.g., Baker, R. C., et. al., 1986, Effect of an elevated level of carbon dioxide containing atmosphere on the growth of spoilage and pathogenic bacteria at 2, 5, and 13 C. Poult. Sci. 65: 729-737). The inventors believe, based on data contained in the referenced report, that storage of the extraction buffer under carbon dioxide pressure will preserve the extraction fluid from growth of contaminants. Further, since the foam generation method is driven by the evolution of gas from the dissolved state in the surfactant extraction fluid, it continues to generate new bubbles as old bubbles burst during passage though the fiber. The energy of the bursting bubbles assists in extracting particles from the fiber filter into the reduced-volume sample. The majority of the bubbles in the extraction foam burst soon after release from the extraction cell, resulting in a much smaller volume sample, which is essentially liquid in nature.
This application further incorporates by reference herein in their entirety all of the following applicant-owned applications, which disclose various techniques of foam elution, as discussed in the present disclosure Ser. No. 13/368,197; 12/814,993; 12/882,188; 12/883,137; 13/028,897. Such techniques are incorporated by reference in this application.
The foregoing disclosure of the exemplary embodiments of the present subject disclosure has been presented for purposes of illustration and description. It is not intended to be exhaustive or to limit the subject disclosure to the precise forms disclosed. Many variations and modifications of the embodiments described herein will be apparent to one of ordinary skill in the art in light of the above disclosure. The scope of the subject disclosure is to be defined only by the claims appended hereto, and by their equivalents.
Further, in describing representative embodiments of the present subject disclosure, the specification may have presented the method and/or process of the present subject disclosure as a particular sequence of steps. However, to the extent that the method or process does not rely on the particular order of steps set forth herein, the method or process should not be limited to the particular sequence of steps described. As one of ordinary skill in the art would appreciate, other sequences of steps may be possible. Therefore, the particular order of the steps set forth in the specification should not be construed as limitations on the claims. In addition, the claims directed to the method and/or process of the present subject disclosure should not be limited to the performance of their steps in the order written, and one skilled in the art can readily appreciate that the sequences may be varied and still remain within the spirit and scope of the present subject disclosure.
This U.S. Patent Application is a continuation of Ser. No. 14/058,193, filed Oct. 18, 2013, now U.S. Pat. No. 10,845,277; which claims priority to U.S. Provisional Patent Application Ser. No. 61/715,451, filed Oct. 18, 2012, the content of which is hereby incorporated by reference herein in its entirety into this disclosure.
This subject disclosure was made with U.S. Government support under Department of Homeland Security (DHS) Grant No. D12PC00287. The government has certain rights in this subject disclosure.
Number | Date | Country | |
---|---|---|---|
61715451 | Oct 2012 | US |
Number | Date | Country | |
---|---|---|---|
Parent | 14058193 | Oct 2013 | US |
Child | 17103900 | US |