Patent Application
20240068950
The present invention relates to the detection, speciation and/or quantification of analytes, for example aldehydes, in a fluid, for example environmental water, using surface-enhanced Raman spectroscopy.
Currently, the detection and measurement of many analytes at trace levels within a water sample requires complex laboratory equipment and a skilled technician. A variety of laboratory techniques exist. The EPA provides a list of available and approved techniques for compounds of concern. The American Public Health Association, American Water Works Association, and Water Environmental Federation publish Standard Methods for the Examination of Water and Wastewater—an extensive treatise on water analysis methodology. Although a variety of analytical detection methods can be used in water analysis, most trace-level analysis falls upon widely-used and popular, yet complex and expensive, mass spectrometry methods.
Raman spectroscopy is a potential alternative for trace analyte detection. Raman spectroscopy provides a chemical signature for a compound (in the form of a unique configuration of peaks in the reflected spectrum), but the Raman signal is typically too weak for part-per-billion detection. However, the Raman signal can be enhanced by the presence of an active surface or marker (typically a metal), creating surface-enhanced Raman spectroscopy (SERS). With an adequate interaction between the analyte and the surface, signal enhancement creates opportunities to detect very small concentrations. Some compounds, such as pyridine, naturally interact strongly with gold and silver surfaces. In some other cases a binding compound may bring the analyte and metal molecules into sufficiently close contact. For example, treatments with octadecylthiol have been used successfully for SERS on planar substrates with some analytes.
In some SERS techniques, the surface is provided by metal nanoparticles. When a metallic nanoparticle smaller than the wavelength of light is introduced into the sample, the illuminating electric field will create surface resonances if there are free electrons in the nanoparticle. The nanoparticles can be gold, silver, or copper beads, for example. These oscillating charges create an enhanced local electric field along certain directions, which results in a much stronger Raman response. “Hot spot” regions can be created where the SERS signal is greatly enhanced. These regions are most likely due to nanoparticle alignments or aggregates that create even larger electric field enhancements.
U.S. Pat. No. 8,070,956, Hand-Held Microfluidic Testing Device, describes a testing device with a cartridge receiving port for receiving a cartridge. An optical detection system in the housing is disposed to analyze a sample in channel of the cartridge. In some embodiments, markers such as gold nanoparticles are present in the channel and the optical detection system is a Raman spectroscopy system. In some embodiments, the channel includes narrow sections along a microfluidic separation channel that trap gold nanoparticles at a high density. This encourages the creation of “hot spots” through nanoparticle density at a predetermined detection location.
Although some researchers have achieved remarkable detection limits using SERS, the use of SERS to measure the concentration of a trace analyte is less developed. In general, Raman signal strength is proportional to the amount of analyte per unit area. However, one issue is that the generation of random nanoparticle hot spots leads to random signal enhancements, which interferes with correlating signal strength to analyte concentration. Another issue is that aqueous sample conditions other than analyte concentration, for example pH, can alter the analyte signal strength.
This specification describes the use of surface-enhanced Raman spectroscopy (SERS) to measure the concentration of various analytes, for example in an industrial or environmental water sample. In at least some cases, the composition of trace compounds is measured to within 10% accuracy. A measurement method uses an internal standard in the form of a known quantity of a reference compound added to a known volume of an aqueous mixture containing the analyte. The reference compound reacts similarly to the analyte under investigation with the surface but produces a different Raman spectrum. The reference compound may be, for example, an isotopologue, isomer, or enantiomer of the analyte or of a compound similar to the analyte. The reference compound is added to the mixture in an amount similar to the expected amount of the analyte.
A portable testing device is described having reusable and consumable components. The reusable components include a Raman spectroscopy instrument having a cartridge holder and software for operating the Raman spectroscopy instrument, optionally stored in a general-purpose computer. The consumable components include a cartridge, a dispersion of Raman-scattering nanoparticles and one or more reagents for the analyte under investigation. The one or more reagents, typically provided in solution, include a reference compound for the analyte and, optionally, one or more chemical compounds capable of increasing interaction between the analyte and the Raman-scattering nanoparticles. The cartridge has a cavity adapted to hold a mixture of the analyte, nanoparticles and one or more reagents in a suitable location in the Raman spectroscopy instrument. In some embodiments, the device may also include a solid-phase extraction column or other pretreatment devices or chemicals.
In use, a mixture is prepared of a water sample containing the analyte under investigation, the nanoparticles and the one or more reagents. At least some of the mixture is placed on the cartridge. The cartridge is loaded into the Raman spectroscopy instrument. The computer controls the Raman spectroscopy instrument to produce a Raman spectrum of the mixture. The produced spectrum includes individual spectra for the analyte and the reference compound. A ratiometric analysis of the individual spectra, typically performed by the software, is used to calculate the concentration of the analyte.
In some cases, the reference standard is an isotopologue of the analyte, or an isotopologue of a compound chemically similar to the analyte. When using the word “isotopologue” we mean to refer (unless clear from the context otherwise) to a form of a compound that differs in number of neutrons from the most common naturally occurring form of that compound. The word “isotope” may also be used for brevity or convenience with the same meaning even though, strictly speaking, the word isotope should be used with elements rather than molecules. Isotopologues of a compound have Raman spectra that are different from the commonly occurring form of the compound. The substitution of deuterium for hydrogen in a pyridine molecule, for example, results in a SERS spectrum with essentially the same intensity but with shifted peaks.
In the case of an analyte that is a molecular ion, a chemically similar compound may be another molecular ion having the same type and number of electron acceptors attached by the same type of bonds but to a different electron donor. In the case of an analyte with a functional group that is naturally SERS active under at least some conditions, such as an amine, a chemically similar compound may be a compound with the same functional group.
The Raman spectrum generated by the reference standard is produced and recorded simultaneously with the spectrum generated by the analyte in a composite spectrum. The Raman intensity of one or more bands corresponding to a known amount (i.e. concentration) of the reference standard is used as a reference against which the Raman intensity of one or more bands corresponding to the analyte is converted into a measurement of the amount (i.e. concentration) of the analyte. In some cases, optional adjustments may be made to accommodate factors such as the natural occurrence of the isotope or impurity of the added isotope. The reference standard preferably interacts with a SERS substrate (such as a gold nanoparticle) similarly to the analyte of interest. Thus both the reference standard and analyte show similar changes in signal strength due to “hot spots” or variations in sample composition. Therefore, when the Raman spectrum for the analyte (i.e the intensity of one or more of its characteristic bands) is scaled with reference to the Raman spectrum for the reference standard (i.e the intensity of one or more of its characteristic bands), an accurate quantification is achieved.
In some cases, an isotopologue used as a reference standard may be made by synthesizing a compound with, for example, a hydrogen isotope (i.e. deuterium) or an oxygen isotope (i.e. 18O). Replacing some or all of the hydrogen with deuterium causes a shift in the peaks of the Raman spectrum for many compounds, including amines like monoethanolamine, methylamine, diethanolamine, cyclohexylamine, morpholine and methyldiethanolamine, and hydrocarbons like benzene, toluene, ethylbenzene, and xylene. Replacing at least some, but preferably all, of the oxygen with heavy oxygen (typically 18O) causes a shift in the peaks of the Raman spectrum for many molecular ions, perchlorate, sulfate and selenate ions, for example.
Some analytes may be inherently SERS active—i.e., they interact naturally with a SERS substrate to produce a strong signal. In other cases, analytes may be made to interact with a SERS substrate by the addition of a binding reagent or adjustment of the general sample conditions such as pH or ionic strength. In yet other cases, a reaction involving the analyte is used to produce or consume a more SERS active compound. The more SERS active compound could be a more inherently active compound or a compound that can be more easily made to interact with a SERS substrate by way of a binding agent. The amount of the more SERS active compound after the reaction can be measured and compared to a known amount of the more SERS active compound, if any, that was present before the reaction started. An internal standard for the more SERS active compound can be used to increase the accuracy of the measurement. The amount of the more SERS active compound that is consumed or created in the reaction can then be used to calculate the concentration of the analyte using a formula for the reaction.
An exemplary water analysis system described herein can be used to provide on-site or in-field analysis of aqueous samples. In general, a technician collects a water sample, processes that sample for analysis, and then introduces the sample to a cartridge. The cartridge is inserted into a Raman spectroscopy device, which may be operated through an interface provided by a general-purpose computer. Optics and electronics within the Raman spectroscopy device produce a Raman spectrum for the sample which is analyzed, for example with software in the general-purpose computer, to determine the concentration of an analyte under investigation in the water sample.
Raman spectroscopy allows analytes to be detected by their specific “fingerprint”, or pattern of peaks in the Raman spectrum. Preferably, a known amount of a reference compound is present in the sample with the analyte when the Raman spectrum is produced and provides an internal calibration standard against which signal intensity of the analyte may be compared to provide accurate quantitative results. The intensity of a Raman signal scales with (i.e. is proportional to) the number of molecules present per unit area. When a known amount of calibration standard is introduced to a sample aqueous solution of known volume containing the analyte, the quantity of analyte may be determined by comparing the signal intensity of the calibration standard and the analyte, for example through ratiometric methods.
The specific ratiometric method used is not critical. For example, the concentration of the reference compound in the sample can be divided by the intensity of the highest peak in the spectrum for the reference compound to provide a correlation factor. Multiplying this correlation factor by the intensity of the highest peak in the spectrum for the analyte produces the concentration of the analyte. Alternatively, the signal intensity of the analyte (i.e the intensity within one or more bands characteristic of the analyte) can be divided by the signal intensity within corresponding bands of the reference compound to provide a scaling factor. Multiplying this scaling factor by the known concentration of the reference compound in the sample produces the concentration of the analyte. Optionally adjustments may be made for various factors such as the purity of the calibration standard, or natural occurrence of the calibration standard in the analyte. Other ordinary adjustments, such as smoothing the spectrum curve or subtracting background signals before measuring intensity, may also be made.
The reference compound may be added to the cartridge during manufacturing or added to a sample containing the analyte before the analyte is added to the cartridge. Similarly, SERS active metallic nanoparticles (i.e. markers) may be added to the cartridge during manufacturing or added to a sample containing the analyte before the analyte is added to the cartridge. Optionally, mixing a solution of the reference compound with an aqueous sample containing the analyte as a first step, or at least before loading the sample to the cartridge, allows a mixture of analyte and reference compound to be made using volumes larger than would fit in the cartridge. This can help with making an accurate calculation of the concentration of the reference compound in the mixture, particularly when making measurements in the field where high precision liquid handling devices are not available. Once the reference compound and analyte sample are mixed together, later errors such as spilling some of the mixture do not typically affect the accuracy of the analyte concentration measurement.
The reference compound is added to the mixture in an amount similar to the expected amount of the analyte. For example, if the analyte is expected to have a concentration in the range of 0-100 ppm, the analyte sample may be mixed with a solution of equal volume containing 25-75 ppm of reference compound. Similarly, if the analyte is expected to have a concentration in the range of 0-100 ppb, the analyte sample may be mixed with a solution of equal volume containing 25-75 ppb of reference compound. The amount of reference compound in the mixture is preferably within 0.1 to 10 times the amount of anylate in the mixture.
Optionally, the reference compound may be an isotopologue of the analyte under investigation. An isotopologue provides a powerful internal calibration standard as it differs from the analyte only in the number of neutrons. The chemical response and reaction of the reference compound will be nearly identical to the analyte. However, under Raman spectroscopy, the isotopologue has a different spectrum. Therefore, one can record the analyte and isotopologue spectra simultaneously, using ratiometric analysis of the composite spectrum to quantify the unknown analyte.
In another option, the calibration standard may be an isotope of a compound that is chemically similar to the analyte under study. For example, selenium and sulfur are chemically quite similar. A measurement of selenate may rely upon the measurement of sulfate, of a selenate isotope, or of a sulfate isotope as a calibration standard. In cases where an unknown amount of sulfate may exist in the sample, for example when testing flue gas desulfurization blowdown water, the use of a selenate isotope or sulfate isotope is preferred. Sulfate isotopes are typically easier to produce. When either a selenate or sulfate isotope is used, the concentration of sulfate in the sample can be measured simultaneously with a measurement of the selenate concentration.
Optionally, one or more additional compounds may be mixed with the sample to enhance interaction between the nanoparticles and both of the analyte and the reference compound. In some cases, the additional compound modifies the SERS marker, i.e. the nanoparticles. Optionally, the modification can be chosen for analyte specificity using compounds designed to interact preferentially or only with the analyte under investigation and the reference compound. This approach reduces interferences while increasing signal strength.
Optionally, an additional compound can include one or more compounds selected from: thiols, amines, silanes, polymeric particles, metallic particles, crown esters, cysteamine, cystamine, diethylaminethanethiol, mercaptopropionic acid, 1-propanethiol, octanethiol, octyldecanethiol, polystyrene, iron, or silica. In other options, the additional compound can be a compound effective to modify the pH or ionic strength of a mixture including the analyte and the nanoparticles. Some analytes interact with a SERS substrate more at a certain pH or in the presence of ions. Optionally, one or more additional compounds can be provided premixed with the reference compound in a reagent solution.
The Raman spectroscopy unit 12 includes an optical detection system in a housing. The optical detection system is capable of providing an illuminating electric field, where the illuminating electric field is capable of being used for Raman spectroscopy, for example with Raman-scattering nanoparticles and the calibration solution, to analyze a sample under test input on or the cartridge 16. The Raman spectroscopy unit 12 further includes a lens 20 with a focus ring 18. The focus ring 18 allows the lens 20 to be focused on a sample contained in the cartridge 16. The Raman spectroscopy unit 12 includes a cartridge holder 22 adapted to receive the cartridge 16. The cartridge holder 22 can be translated relative to lens 20 by turning a screw 24. A second screw (not shown) is preferably provided orthogonal to screw 24 to allow a portion of the cartridge 16 at which a sample to be tested is visible to be aligned with the lens 20.
The cartridge 16 receives an aqueous mixture including the analyte. The cartridge 16 has a cavity 26, which receives the sample. The cartridge 16 may be plastic. However, if the mixture is expected to be transparent such that the Raman laser would penetrate through to the bottom of the cavity 26, the bottom of the cavity may be lined with a reflective surface such as stainless steel. The cartridge 16 may alternatively be a glass or plastic bag or vial or other suitable container. When the cartridge 16 is mounted in the cartridge holder 22, the cavity 26 is aligned with the lens 20.
In another option, the cartridge 16 can include one or more of nanoparticles, a reference compound, one or more additional compounds, microfluidic channels configured to provide an area with an increased density of nanoparticles, or microfluidic separation channels, for example as described in U.S. Pat. No. 8,070,956.
One important analyte category is the monitoring of amines, for example in industrial processes. Organic amines are used as corrosion control agents that increase pH and scavenge corrosive contaminants. Monoethanolamine (MEA), for example, is a widely used corrosion inhibitor that reduces dissolved CO2 and helps control pH in industrial boilers and nuclear power plants. Amines are also effective as hydrogen sulfide scavengers in oil and gas production and processing. For example, MEA-triazine is frequently used as a hydrogen sulfide scavenger at the well-head. MEA or other compounds can also exist as tramp amines that affect refinery operations. On-site monitoring for amines, for example at a refinery, pipeline, or well-head, can help maintain appropriate corrosion protection while extending system lifetime and avoiding costly corrosion-induced shutdowns and failures.
The analysis system 10 described above may be operated to measure the concentration of an amine. Amines interact naturally with gold and silver substrates. Under basic pH conditions, the amine group will adhere to the nanoparticles, resulting in a strong Raman response. In some cases, the analysis method takes under five minutes, and may be performed in the field. In some cases, measurement of an amine in the ppb range is possible. However, in industrial process management, measurement of amines in the ppm range is more often required. In general, the concentration of an amine can be measured using an isotopologue of an amine as a reference compound, preferably an isotopologue of the same amine or an amine of similar molecular weight and structure. An anylate, isotopologue and nanoparticles mixture is preferably adjusted to a basic pH, for example a pH of at least 1 or preferably at least 2 higher than the pKa of the anylate amine, before measuring its Raman spectrum.
In one embodiment, a method provides part-per-million concentration measurement of methylamine in refinery process waters. Methylamine is a tramp amine that negatively impacts the refining process. The detection limit for methylamine in aqueous solutions is 20-ppb or better.
In another embodiment, the concentration of monoethanolamine (MEA) is determined. Rapid measurement of monoethanolamine is useful in controlling refinery operations. A preferred isotopologue for MEA is monoethanolamine-d4. pH of the MEA, isotopologue and nanoparticles mixture is preferably raised to 12.6 to 12.9. The mixture of MEA, isotopologue and nanoparticles is added to the cartridge and its Raman spectrum determined.
In a method described herein, a reference compound is added to an amine compound analyte sample. The reference compound is an isotopologue of the same or another amine compound. In one example, a known volume of methylamine-d3 solution at 25- to 75-ppm is added to a sample of known volume (preferably the same or within 50% of the volume of methylamine-d3 solution) having an unknown quantity of methylamine-do. The methylamine-d3 creates a reference spectrum (within a composite spectrum) against which the methylamine-d0 spectrum may be quantified. This approach can result in ±10% measurement accuracy over a 0- to 100-ppm range of methylamine-do. Accuracy can be improved at the low end with a lower concentration methylamine-d3 solution. pH of the mixture is preferably adjusted to 12.6 to 13.0 before taking its Raman spectrum.
In another example, diethanolamine-d8 is used as an internal standard when measuring the concentration of diethanolamine.
In other examples, the approach described above is applied to triazine-based compounds. For example, accurate, ppm-level measurements of MEA-triazine or dithiazine can be achieved using an ethanolamine-d4 or an MEA-triazine-d12 isotopologue as a reference compound.
In further examples, the process for measuring one amine can be extended to measuring multiple amines. The internal standard can be a mixture of materials, for example ethanolamine-d4 and methylamine-d3. These two compounds individually are excellent internal standards for ethanolamine and methylamine individually. By including both isotopologues in a mixture, one can determine the concentration of ethanolamine and methylamine in a sample. First, the spectrum is scaled to the ethanolamine-d4 peak at 870-cm−1, and the ethanolamine concentration is determined. The same spectrum is then scaled to the 950-cm−1 methylamine-d3 peak, and the methylamine concentration is determined. Furthermore, the spectrum for a first amine may be subtracted from the overall spectrum sequentially before analyzing the spectrum of a second amine to improve signal-to-noise ratio. For example, an ethanolamine spectrum is stronger than a methylamine signal. By subtracting the ethanolamine spectrum, one can improve the accuracy of methylamine analysis.
In yet other examples, a reaction involving the analyte is used to produce or consume a more SERS active compound. The amount of the more SERS active compound in the reaction product is measured to determine if SERS active compound was created or consumed. A reference compound for the more SERS active compound can be used to increase the accuracy of the measurement. The amount of the more SERS active compound that is consumed or created in the reaction can then be used to calculate the concentration of the analyte using a formula for the reaction.
In one example, the consumption of pyridine is used to determine the concentration of a gem-halogenated compound. The amount of gem-halogenated compound required to consume a certain amount of pyridine can be determined according the Fujiwara reaction, normally used in a colorimetric method for the detection of gem-halogenated compounds using pyridine. The gem-halogenated compound may be, for example, trichloroethylene, a trihalomethane, chloroform, or a haloacetic acid
In one example, the concentration of a gem-halogenated compound, in particular trichloroethylene (TCE), is measured. A sample is taken of water suspected of containing TCE in the ppb range. The pH of the sample is adjusted to 12-13, for example by adding caustic, as needed for the Fujiwara reaction. Dilute pyridine solution, for example at about 100-150 ppb, is added in a 1:1 or similar volume ratio to the alkaline sample. The reaction of pyridine with TCE will progress, resulting in complete consumption of the TCE and a decrease in the pyridine concentration. We then add an internal standard, for example a solution of pyridine-d5 of known concentration and volume, to the reaction product solution. When mixed with a SERS substrate such as gold nanoparticles, the resulting SERS signal will be a combination of pyridine-d0 and pyridine-d5 signals. We then scale the signal to the main pyridine-d5 peak, which is spectrally shifted from the main do peak, to determine the amount of pyridine-d0 remaining. Subtracting this value from the initial amount of pyridine gives the amount of pyridine consumed. This value can be used to calculate the amount of TCE that was present in the original sample. If there is no pyridine left after reaction then the test is inconclusive and must be repeated with a larger initial amount of pyridine.
Alternatively, a pyridine derivative such as nicotinamide may be used to determine the concentration of a gem-halogenated compound. Nicotinamide may offer benefits such as selectivity, usability, or safety. Pyridine-d5 may be used as an internal standard with a pyridine derivative, as may an isotopologue of the pyridine derivative.
In another example, the concentration of formaldehyde is measured by way of a reaction between an amine and formaldehyde. Cysteamine reacts with formaldehyde to create a thiazolidine. Cysteamine is also a thiol that interacts strongly with a gold substrate. A sample of formaldehyde is mixed with a known amount of cysteamine. The reaction completely consumes the formaldehyde and some of the cysteamine. This reacted product solution may then be mixed with a cysteamine isotopologue and gold nanoparticles. The ratio of cysteamine isotopologue to cysteamine provides a measure of cysteamine remaining, which can be used to determine the initial formaldehyde concentration. Alternatively, a thiazolidine isotopologue can be added to the reacted product solution to provide a measure of cysteamine remaining, which can be used to determine the initial formaldehyde concentration. In either case, the lack of any remaining cysteamine indicates a failure and that the method should be repeated starting with a larger amount of cysteamine. In these examples, cystamine may be used in place of cysteamine.
The methods and equipment described above may also be adopted to measure the concentration of ions, for example molecular anions, in water. The concentration may be in the ppb range. In addition to a reference compound, a binding compound is used to increase interaction between the ion and the nanoparticles. The binding compound may be an amine, preferably with no more than 3 carbon atoms between a nitrogen atom and a sulfur atom, for example a thiol. A mixture of anylate, isotopologue, binding compound and nanoparticles is adjusted to an acidic pH, for example 5.0 or less. The preferred pH can be determined by trial and error, but varies with the pKa of the binding compound and can be estimated from the examples below adjusted to reflect the pKa of a different amine if used.
In one example, the concentration of perchlorate ions is measured. Perchlorate is a hydrophobic anion. By first modifying the surface of the SERS nanoparticles, i.e. gold nanoparticles, with a hydrophobic cationic species, we create a surface interaction between perchlorate and the nanoparticle. Under acidic conditions, amines become protonated, acting as a cationic treatment to draw anionic species to the nanoparticle. Thiol-based amine compounds like dimethylaminoethanethiol or diethylaminoethanethiol create such a surface. Other anions like sulfate or selenate that are not hydrophobic interact with SERS nanoparticles, i.e. gold nanoparticles, under the influence of less hydrophobic compounds such as cysteamine. The addition of an anionic isotopologue as an internal standard enables repeatable, accurate measurements.
In a particular example of perchlorate measurement, the user starts with at 100-μl sample of water expected to contain perchlorate. To this sample, 10-μl of a 550-ppb perchlorate—18O4 solution is added, resulting in a final concentration of 50-ppb Cl18O4 in the sample. This sample is then adjusted to pH 1.8-3.0, preferably about 2.5 using hydrochloric acid. Next, a small quantity of methanol (10-μl) and a preferred thiol compound (dimethylaminoethanethiol) is added to the sample vial, followed by 5-ul of concentrated gold nanoparticles. This combined sample is allowed to dry on a clean, steel substrate, and then analyzed via Raman spectroscopy. The heavy perchlorate provides an internal standard against which the intensity of the perchlorate spectrum is compared. The resulting calibration curve is presented in
In cases where creation of the isotopologue would be unduly expensive or complicated, a similar anion can be used as a reference material. A similar anion preferably has the same number and kind of electron acceptors attached to an electron donor with the same type of bonds. For example, selenium and sulfur have very similar structures. The detection of selenate may be achieved by using sulfate or a selenate isotopologue (preferably with 4 18O) as an internal standard, with cysteamine or cystamine as a nanoparticle surface treatment compound. The pH of the mixture of selenate, isotopologue, cysteamine or cystamine and SERS substrate (for example gold nanoparticles) is preferably adjust to about 3.5, for example by adding HCl. However, sulfate is a commonly occurring material, making a sulfate isotopologue (S18O4) a convenient internal standard. Furthermore, by using a sulfate isotopologue, both sulfate and selenate can by quantified simultaneously. A calibration curve of selenate measured using a sulfate isotopologue as an internal standard is presented in
In preparing an isotopologue of a molecular anion, it is preferably to replace all of the O atoms with 18O. This requires a reaction driven to completion, which more easily creates a substantially pure isotopologue than a partial substitution of oxygen ions. The natural occurrence of such isotopologues is also rare and so adjustments are generally not required for isotopologue purity or naturally occurring isotopologues. However, the isotopologue should not be exposed to conditions that would cause it to revert to the naturally occurring form. For example, a selenate isotopologue with 18O should not be stored in highly acidic water (i.e. pH of 1.0 or less) for an extended period of time since this will cause it to swap its heavy oxygen with oxygen in the water.
Although the nanoparticles may be pre-treated with an additional compound such as a thiol before adding the sample, it is preferable that the additional compound be mixed with the nanoparticles at about the same time the sample. This process increases response while improving product lifetime.
In other examples, addition of anionic compound, such as 3-mercaptopropionic acid, to nanoparticles enable the measurement of cationic ions in water. As discussed above, an internal reference standard for the cationic ions is preferably also added.
In some cases, a measurement method as described above may be applied to analyte measurement in complex sample matrices. For example, refinery process waters may contain ppm-level amines in the presence of many salts and hydrocarbons. Pre-treatment methods can prepare the sample for analysis; however, pre-treatment can be challenging as it may affect the level of the analyte of interest. In these cases, adding the reference compound before treatment reduces errors caused by pre-treatment. The pre-treatment may be, for example, solid-liquid separation, ion exchange, strong anion exchange or ion extraction.
For example, the measurement of amines in refinery sour water presents a significant challenge. Sour water is defined by the presence of sulfide, which leads to the distinctive odor. These water samples, however, can also contain an array of other contaminants: ionic species, metals, organic acids, hydrocarbons, and amines, to name a few. Water collected from desalter operations, for example, may have high ion and amines levels (potentially more than 1000-ppm). Overhead water, in contrast, typically has contaminants levels below 100-ppm.
To analyze complex samples, the user first introduces the internal standard, such as an isotopologue, to the sample before sample pre-treatment. The sample pre-treatment will remove the analyte and the internal standard generally equally, enabling a precise concentration measurement after the pre-treatment. The pre-treatment is preferably a process to remove anions, for example an anion exchange or anion extraction process. The pH of the mixture of analyte and isotopologue is preferably reduced as required to keep the analyte and isotopologue in solution while undesirable anions are removed in the pretreatment process. Alternatively, the analyte and isotopologue maybe captured by passing the mixture through a cation extraction unit, discarding the remainder of the sample, and then eluting the analyte and isotopologue from the cation extraction unit.
For sour water analysis, an exemplary sample preparation method is presented in
Metaldehyde is an active component in slug and snail bait. Drinking water limits in the UK and EU are 100 parts-per-trillion (ppt). The level in rivers depends on weather, season and geopgraphy. Analysis can be done via GC/MS.
Metaldehyde is a cyclic tetramer of acetaldehyde. It undergoes hydrolysis in a strong acid or when heated (i.e. to 70° C. or more) and converts to aldehyde.
Aldehyde concentration can be estimated by colorimetric analysis. MBTH (N-methylbenzothiazolinone-2-hydrazone) combines with C1-C3 aldehydes (i.e. formaldehyde, acetaldehyde, propionaldehyde (propanal)) to form a blue colored compound in solution. The MBTH is added to a water sample suspected of having aldehyde. After a wait time of 30 minutes, Fe3+ is added to the sample. After 15 minutes, the color intensity is measured. However, colorimetric analysis cannot speciate and it does not allow for detection or concentration measurement at low levels.
MBTH contains multiple nitrogen and sulfur groups that can attach to gold. In the methods below, we add gold nanoparticles (i.e. 80-nm colloidal gold nanoparticles) to the sample. This allows analysis with a Raman spectrometer. An exemplary spectrometer has a 785-nm, 100-mW laser; 200-2000-cm−1 with 4-cm−1 resolution.
In a method of aldehyde analysis, a sample is prepared as in for colorimetric analysis, but analysed using Raman spectra rather than color analysis. In an example method: MBTH is added to a sample; wait, i.e. 30 minutes; add Fe3+; wait, i.e. 15 minutes; mix with gold nanoparticles; measure the Ram spectrum. Although different aldehydes produce the same color when combined with MBTH, the Raman spectra of aldehyde-MBTH compounds are different. For example, compounds of MBTH with propanal, acetaldehyde and formaldehyde each produce a distinct peak in the range of 800 cm−1 to 900 cm−1, and another distinct peak in the range of around 1250-1500 cm−1 (see
An isotopologue internal standard is used as a reference. The isotopologue may be, for example, a deuterated aldehyde. The isotopolgue has a different Raman spectra (see
To measure aldehydes that do not react with MBTH, for example metaldehyde, the analyte can be converted to a form that does react with MBTH. In an exemplary process to measure metaldehyde: add know amount of isotopolgue such as metaldehyde-d16 to the sample; add MBTH to sample; add MBTH to sample, wait 60 minutes at 90° C.; add Fe3+ to sample; wait 30 minutes; mix with gold nanoparticles; measure Raman spectrum.
A similar approach can be used to measure other contaminants that are conventionally measured with colorimetric dyes. Most colorimetric dyes have an amine group. Other examples of analytes measure with colorimetric dyes, wherein the analyte-colorimetric dye compound can be measured by is Raman spectra, preferably also with an isotpologue internal reference standard, include: selenium, ammonia, chlorinated solvents, lead and alcohols.
Our approach to metaldehyde analysis proceeds by digesting to acetaldehyde and then using an acetaldehyde measurement procedure. The digestion procedure starts by mixing the colorimetric indicator dye with the sample along with an internal standard. The sample is heated to approximately 70° C. for 60 minutes. This procedure breaks the metaldehyde into its constituent aldehyde, which then react with the MTBH dye. The preferred internal standard for metaldehyde analysis is metaldehyde-d16; however, given the measurement is of acetaldehyde, then acetaldehyde-d4 is also acceptable.
Real-world water samples contain acetaldehyde naturally; our measurements show approximately 2-ppb in river water samples. To determine the metaldehyde concentration in this type of water sample, we add acetaldehyde-d4 as an internal standard followed by the dye, then split the sample into two portions. One portion is heated to digest the aldehyde; the second portion is not heated, so that only the naturally occurring aldehyde reacts. The difference between the two measurements determines the metaldehyde concentration.
Examples of measurements are shown in
An alternative approach to eliminate the acetaldehyde interference is to introduce a compound that forms an adduct with aldehydes, such as bisulfite. This approach binds the native aldehyde so that only the metaldehyde reacts with the dye.
Spectral analysis to determine the metaldehyde concentration starts with smoothing and baseline subtraction. The spectrum is then scaled to the internal standard peak at 815-cm−1. If the internal standard peak is not present, the users is presented with an error message. The spectral data is passed through a multivariate analysis method, such as a Multivariate Adaptive Regressive Splines algorithm, to determine the final concentration.
Spectral analysis for acetaldehyde is complicated by a peak in the MTBH spectrum that partially overlaps the acetaldehyde signal. This extra peak may be eliminated through spectral subtraction techniques. An spectrum from a sample containing zero acetaldehyde can be subtracted from the raw data to provide a proper baseline signal. This processed data can then be analyzed for analyte concentration.
U.S. application Ser. No. 14/198,163 filed on Mar. 5, 2014 is incorporated herein by reference.
The present invention has now been described in accordance with several exemplary embodiments, which are intended to be illustrative in all aspects, rather than restrictive. Thus, the present invention is capable of many variations in detailed implementation, which may be derived from the description contained herein by a person of ordinary skill in the art. For example, many additional amines may be detected using a similar approach. These amines include methylamine, diethanolamine, methyldiethanolamine, dimethylethanolamine, diisopropylamine, cyclohexylamine, morpholine, and methoxypropylamine. Other anions including nitrate, chromate, thiosulfate, phosphate, and carbonate may be detected using similar approaches to the method presented for perchlorate analysis.
All such variations are considered to be within the scope and spirit of the present invention as defined by the following claims and their legal equivalents.
This application is a continuation of U.S. application Ser. No. 17/226,884, filed Apr. 9, 2021, which is a continuation of U.S. application Ser. No. 16/298,362, filed Mar. 11, 2019, issued as U.S. Pat. No. 11,002,682 on May 11, 2021, which claims the benefit of U.S. Application Ser. No. 62/641,529, filed Mar. 12, 2018. U.S. application Ser. Nos. 17/226,884, 16/298,362 and 62/641,529 are incorporated by reference.
| Number | Date | Country | |
|---|---|---|---|
| 62641529 | Mar 2018 | US |
| Number | Date | Country | |
|---|---|---|---|
| Parent | 17226884 | Apr 2021 | US |
| Child | 18464795 | US | |
| Parent | 16298362 | Mar 2019 | US |
| Child | 17226884 | US |
