SYSTEM AND METHOD FOR HIGH-THROUGHPUT RADIO THIN LAYER CHROMATOGRAPHY ANALYSIS
20220244228 · 2022-08-04
Assignee
Inventors
- R. Michael van Dam (Sherman Oaks, CA, US)
- Jia Wang (Los Angeles, CA, US)
- Alejandra Rios (Los Angeles, CA, US)
Cpc classification
G01N30/90
PHYSICS
H04N25/71
ELECTRICITY
G01N35/10
PHYSICS
International classification
G01N35/10
PHYSICS
Abstract
A method of performing high-throughput radio thin layer chromatography (radio-TLC) includes spotting a plurality of locations on one or more TLC plates with samples containing a radiochemical or a radiopharmaceutical, each location defining an individual lane on the one or more TLC plates for the respective samples. The one or more TLC plates are developed with a developing solution and dried. The TLC plates are imaged with an imaging device comprising a camera, wherein the image obtained from the camera comprises a field of view that contains regions of interest (ROIs) from the plurality of lanes. The ROIs in the images obtained from the camera may then be analyzed by the user. The ROIs may be used, for example, reaction optimization or for quality control check of the production of radiotracers.
Claims
1. A method of performing high-throughput radio thin layer chromatography (radio-TLC) comprising: spotting a plurality of locations on a first thin layer chromatography (TLC) plate with samples containing a radiochemical or a radiopharmaceutical, each location defining an individual lane on the first TLC plate for the respective samples; drying the spotted locations; developing the first TLC plate with a developing solution so as to simultaneously separate the samples; drying the developed first TLC plate; and imaging the dried first TLC plate with a Cerenkov luminescence imaging device comprising a light-tight chamber and a camera, wherein the image obtained from the Cerenkov luminescence imaging device comprises a field of view that contains regions of interest from the plurality of lanes containing the samples.
2. The method of claim 1, wherein the camera comprises a cooled CCD camera.
3. The method of claim 1, wherein the plurality of locations are manually spotted on the first TLC plate.
4. The method of claim 1, wherein the plurality of locations are automatically spotted on the first TLC plate with an automatic sampler device.
5. The method of claim 1, wherein the first TLC plate is spotted at eight or more locations.
6. The method of claim 1, wherein the pitch between adjacent spotted locations is 5 mm or less.
7. The method of claim 1, wherein the spotted locations comprise samples having volumes of 1 μL or less.
8. (canceled)
9. The method of claim 1, wherein the length of separation within the lane of the first TLC plate is between 15 mm and 35 mm.
10. The method of claim 1, wherein the first TLC plate is covered with a scintillator or with a glass plate.
11. (canceled)
12. The method of claim 1, wherein the lanes of the first TLC plate are separated from one another from a barrier material.
13. A method of performing high-throughput radio thin layer chromatography (radio-TLC) comprising: spotting a plurality of locations on multiple thin layer chromatography (TLC) plates with samples containing a radiochemical or a radiopharmaceutical, each TLC plate spotted at a plurality of locations with each location defining an individual lane on the respective TLC plate for the samples; drying the multiple TLC plates; developing the multiple TLC plates with a developing solution so as to simultaneously separate the samples; drying the multiple developed TLC plates; and imaging the multiple TLC plates simultaneously with a Cerenkov luminescence imaging device comprising a light-tight chamber and a camera, wherein the image obtained from the Cerenkov luminescence imaging device comprises a field of view that contains regions of interest from the plurality of lanes containing the samples from the multiple TLC plates.
14. The method of claim 13, wherein the camera comprises a cooled CCD camera.
15. The method of claim 13, wherein the plurality of locations are manually spotted on each of the multiple TLC plates.
16. The method of claim 13, wherein the plurality of locations are automatically spotted on the multiple TLC plates with an automatic sampler device.
17. The method of claim 13, wherein each of the multiple TLC plates is spotted at eight or more locations.
18. The method of claim 17, wherein the pitch between adjacent spotted locations is 5 mm or less.
19. The method of claim 13, wherein the spotted locations comprise samples having volumes of 1 μL or less.
20. (canceled)
21. The method of claim 13, wherein the length of separation within the lanes of the multiple TLC plates are between 15 mm and 35 mm.
22. The method of claim 13, wherein the multiple TLC plates are covered with a scintillator or with a glass plate.
23. (canceled)
24. The method of claim 13, wherein the lanes of the multiple TLC plates are separated from one another from a barrier material.
25. The method of claim 1, wherein the radiochemical or a radiopharmaceutical is labeled with a positron emitter, a beta emitter, or an alpha-emitter.
26. (canceled)
27. (canceled)
28. The method of claim 1, wherein the plurality of spotted locations on the first thin layer chromatography (TLC) plate are separated from one another by a substantially equal distance.
29. The method of claim 1, wherein the first TLC plate is developed in less than 5 minutes.
30. (canceled)
31. (canceled)
32. A method of performing high-throughput radio thin layer chromatography (radio-TLC) comprising: spotting a plurality of locations on one or more thin layer chromatography (TLC) plates with samples containing a radiochemical or a radiopharmaceutical, each location defining an individual lane on the one or more TLC plates for the respective samples; drying the one or more TLC plates; developing the one or more TLC plates with a developing solution so as to simultaneously separate the samples; drying the one or more developed TLC plates; imaging the dried one or more TLC plates with an imaging device comprising a camera, wherein the image obtained from the camera comprises a field of view that contains regions of interest from the plurality of lanes; and automatically identifying regions of interest from the plurality of lanes containing the samples in the image obtained with the camera with image processing software.
Description
BRIEF DESCRIPTION OF THE DRAWINGS
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DETAILED DESCRIPTION OF THE ILLUSTRATED EMBODIMENTS
[0058] According to one embodiment and with reference to
[0059] Referring to
[0060] The spotted location 10 is typically located adjacent to one end of the TLC plate 12. Typically, this is several millimeters (e.g., around 15 mm) from the edge of the TLC plate 12 so that the samples 14 are not submerged in the developing solution (i.e., mobile phase) when the edge of the TLC plate 12 is exposed to the developing solution. After placing the samples at the spotted location 10, the TLC plate(s) 12 is/are allowed to dry. This drying takes place at ambient or room temperature conditions as only about 0.5 to about 1 μL of solution needs to be evaporated. After drying, the TLC plate(s) 12 are then developed with a developing solution followed by drying of the TLC plate 12. The developing solution is selected based on the expected sample composition as well as the type of material that makes up the stationary (adsorbent) phase of the TLC plate 12 itself. The mobile phase is typically an organic solvent, mixture of solvents, or aqueous buffer. For example, [.sup.18F]fallypride samples were separated using 60% MeCN in 25 mM NH.sub.4HCO.sub.2 with 1% TEA v/v, [.sup.18F]FET samples were separated using 80:20 v/v MeCN and water mixture, and [.sup.18F]Flumazenil samples were separated using MeCN. Developing is usually performed in a covered glass container or jar in which a small depth of mobile phase is first poured. The TLC plate 12 is placed vertically in the container and the container is covered. The solvent front of the developing solution moves in the direction of arrow A. Developing of the TLC plates 12 may take several minutes. For example, in one embodiment, the TLC plates 12 are developed over 5 minutes or less. Other embodiments, may have even quicker development over 3 minutes or less.
[0061] Once the solvent front reaches a predefined distance up the TLC plate 12, the TLC plate 12 is removed from the mobile phase and allowed to dry under ambient conditions. If it is known that the sample does not contain volatile species, the drying may be accelerated by gently using a heat gun. In some embodiments, the separation distance within the lane(s) 16 is short, namely between 15 mm and 35 mm. This is the “active” length of the lane(s) 16 where separation occurs even if the physical length (L) of the lane is longer. The dried TLC plates 12 are then imaged with a Cerenkov luminescence imaging device 20 as seen in
[0062] In some embodiments, the method involves imaging a single TLC plate 12 containing a plurality of samples 14 spotted thereon at different locations 10. In other embodiments, the method involves imaging multiple TLC plates 12 simultaneously with each TLC plate 12 containing a plurality of samples 14 spotted thereon at different locations 10. Multiple TLC plates 12 would be loaded on the support platform 26 as explained herein. The TLC plates 12 may be spotted with samples 14 containing a small separation distance or pitch (P) between adjacent samples as seen in
[0063] After the TLC plate(s) 12 have been spotted, developed, and dried, they are placed inside a Cerenkov luminescence imaging device 20. The Cerenkov luminescence imaging device 20 includes a light-tight enclosure or housing 22, as seen in
[0064] The Cerenkov camera 24 was fixed to the light tight enclosure 22 in order (i) to maintain reproducible distance between the camera 24 and the TLC plate(s) 12 and (ii) to allow ventilation for camera cooling. The Cerenkov imaging camera's 24 field of view was set to be approximately 5×5 cm.sup.2 although the particular FOV may be adjusted using a different optical lens. Exposure time was set to 300 seconds, although shorter times can be used via the addition of a scintillator or using higher activity samples. Temperature of the CCD image sensor 30 was set to −10° C. to reduce dark current. As seen in
[0065] In one embodiment, the ROIs may be automatically identified by the user using the GUI or the like to manually identify ROIs. For example, the user may click or highlight (e.g., using a drop-down tool such as a circle or free-hand cursor) to select these ROIs in the displayed CLI image 108. In other embodiments, the image processing software 102 may automatically identify ROIs using, for example, edge detection, region growing or other known image segmentation techniques, or a combination of manual and/or automated segmentation. For example, the user could select a point in each ‘spot’ or ROI, and then the image processing software 102 uses ‘region growing’ to determine the full extent of the spot or ROI. Alternatively, the user could specify one or more Rr values (Rr is the distance a certain species has traveled divided by the total separation distance, i.e., how far the solvent front moved beyond the sample origin) for expected species and the image processing software 102 could search the image for spots near those distances. The image processing software 102 may also display analysis results 110. These may include the fraction or percentage of total radioactivity for each ROI within a lane 16. The image processing software 102 may be implemented in any of number of software programs or languages. For example, as explained herein, MATLAB was used as the image processing software 102.
[0066] As explained herein, the image processing software 102 may perform various image processing operations prior to, for example, generating fraction or percentage of total radioactivity values for each ROI within a particular lane 16.
[0067] Next, a background ROI of the filtered image is selected as seen in operation 210. This background ROI is selected from a region that does not contain any radioactive spots or signals. This background ROI may be manually selected by the user or, alternatively, the image processing software 102 may select a background ROI. Next, in operation 212, the mean pixel value (i.e., intensity values for each pixel are used) for the pixels in the ROI is determined. Next, in operation 214, the mean background value calculated in operation 212 is then subtracted from all pixels. For a particular lane 16, one or more ROIs is then selected as seen in operation 216. This may be a user selected ROI or the image processing software 102 may automatically select the ROIs. After the one or more ROIs is selected, a sum of the pixels (pixel intensity) within each ROI is then computed as seen in operation 218. For lanes 16 that contain a plurality of ROIs, in next operation 220, the sum of all pixels in all ROIs (within that particular lane 16) is computed. In operation 222, a percentage or fraction is then computed for each ROI where the percentage or fraction is the sum of pixels in that particular ROI divided by the sum of all pixels in all the ROIs in that particular lane 16. This process is then repeated for all of the different lanes as seen in operation 224.
[0068] One particular application of the system 2 and method is the optimization of radio-TLC conditions for the production of radiochemicals or radiopharmaceuticals. Because a number of different spotting locations 10 can be loaded with radiochemicals or radiopharmaceuticals generated under different conditions, one can quickly optimize process variables to optimize one or more parameters. This may include, for example, increasing the radiochemical yield (RCY), fluorination efficiency, or minimization of side products. Reaction conditions such as temperature, precursor concentration, reactant concentrations can be changed with samples from multiple experiments being run on a single TLC plate 12. This enables one to quickly optimize reaction conditions or other process variables specific to the synthesis operation of interest. One can also optimize the TLC separation process for increased separation resolution. A set of known samples can be spotted on multiple TLC plates 12, and multiple experiments can be done to look at how conditions such as TLC mobile phase, type of TLC plate 12, or sample solvent affect the chromatographic resolution and the Rr values for each species.
EXPERIMENTAL
[0069] Preparation and Developing of Radio-TLC Plates
[0070] Samples of crude radiopharmaceuticals were deposited with a micropipettor 15 mm from the edge of the TLC plate 12. Deposited volume was 1.0 μL unless otherwise specified. Typically, four (4) samples were spotted on each 50 mm×60 mm TLC plate 12 along the 50 mm edge at 1 cm spacing so that four (4) lanes 16 would be formed during development. Spotting was also performed of eight (8) samples at 0.5 cm spacing on 50 mm×35 mm TLC plates 12. For mock TLC plates 12, these were spotted with [.sup.18F]fluoride/[.sup.18O]H.sub.2O at multiple points on the TLC plate 12 and then immediately dried the plate (i.e., no developing was performed).
[0071] [.sup.18F]Fallypride samples (synthesized according to
[0072] Samples of [.sup.177Lu]Lu-PSMA-617 were spotted onto RP-18 silica gel 60 F.sub.254 sheets (aluminum backing) and developed with a 75:25 (v:v) mixture of MeOH and DI water with 0.1% TFA. After developing, the TLC plates 12 were dried at room temperature. To estimate radioactivity of deposited samples, measurements of radioactivity to estimate radioactivity concentration of samples were performed with a calibrated dose calibrator (CRC-25PET, Capintec, Florham Park, N.J., USA).
[0073] Analysis of TLC Plates by Cerenkov Luminescence Imaging
[0074] After drying, the TLC plates 12 were imaged for 5 min using the Cerenkov luminescence imaging device 20. Briefly, the radio-TLC plate 12 was placed in a light-tight chamber 22, covered with a transparent substrate 34, and Cerenkov light was detected by a scientific cooled camera 24 (QSI 540, Quantum Scientific Imaging, Poplarville, Miss.) equipped with a 50 mm lens (Nikkor, Nikon, Tokyo, Japan). The temperature of the image sensor 30 of the camera 24 was maintained at −10° C. for dark current reduction. The field of view was 50×50 mm.sup.2.
[0075] The raw image 50 comprised an array of values (analog-to-digital units; ADUs) corresponding to detected light at each pixel location. Using custom-written MATLAB software, images 50 were processed using the operations of
[0076] Analysis of TLC Plates Via Radio-TLC Scanner
[0077] TLC plates 12 were scanned with a miniGITA TLC scanner (Elysia-Raytest; Straubenhardt, Germany) for 3 min, and the resulting chromatograms were analyzed by GINA-STAR software (Elysia-Raytest). Specifically, the software allowed identification of peaks and integrating the area under the curve (AUC) for each peak. The fraction of total AUC contained within each peak was then computed. Prior to radio-TLC scanner analysis, TLC plates 12 containing multiple samples of radiopharmaceuticals were first cut into individual “lanes”, each lane corresponding to a single separated sample.
[0078] High-Throughput Radio-TLC Analysis
[0079] The Cerenkov luminescence imaging device 20 used a camera 24 with a field of view was 50 mm×50 mm. When using 5 min acquisitions, the corresponding limit of detection (LOD) and limit of quantification (LOQ) were determined to be 0.8 kBq/μL and 2.4 kBq/μL, respectively, for 1 μL spots of fluoride-18 (
[0080] As an initial demonstration of high-throughput analysis, replicates of both [.sup.18F]fallypride and [.sup.18F]FET samples 14 were studied. Two replicates of a sample of the crude intermediate product (collected after fluorination of the FET precursor) were spotted on the left half of the plate and two replicates of a sample of the crude [.sup.18F]FET product (collected after the subsequent hydrolysis step) were spotted on the right side. The CL image 108 of the developed TLC plate 12 (35 mm separation distance; silica gel 60 F.sub.254) is shown in
[0081] Increasing Sample Throughput
[0082] To further increase the number of samples 14 that can be analyzed simultaneously, one option would be to redesign the optical system (including a lens) to achieve a larger field of view. Then, a TLC plate 12 (wider than 50 mm) with more spots 10 (i.e., lanes 16) could be developed and imaged without increasing the overall analysis time (i.e., without increasing the developing time or readout time). Such an approach would result in a reduction in the number of pixels per imaged spot, however, potentially increasing the noise level slightly and decreasing sensitivity.
[0083] Alternatively, the size of the radio-TLC plates 12 could be further reduced to allow multiple TLC plates 12 to fit within the field of view. Due to the excellent separation in the Cerenkov images, it was hypothesized that the separation length could be even further reduced.
[0084] Comparison of Readout Via CLI Versus a Radio-TLC Scanner
[0085] In a systematic analysis, the accuracy and precision of CLI-based analysis was found to be higher than analysis using commercial radio-TLC scanner software (miniGITA), especially for closely spaced peaks and unequal activity distribution. The results of gamma counting (taken as ground truth; calibration curve in
[0086] Assessing Quality of the TLC Spotting and Development Process
[0087] One notable advantage of the Cerenkov imaging readout technique versus radio-TLC scanner readout is the ability to see a high-resolution 2D image 108 of the final separation. This can be used to monitor the quality of the spotting and developing process. For example, compared to a normal separation (
[0088] The CLI readout can be improved by using the same camera 24 to take a brightfield image of the radio-TLC plate 12 (including markings on the TLC plate 12 of sample origin and solvent front) and superimposing the CL image on the brightfield image. An example showing both the sample origin and solvent front from the brightfield image (e.g., to compute Rr values) superimposed with the CL image 108 is seen in
[0089] Radiochemical Purity Measurement of [.sup.177Lu]-PSMA-617 Via CLI
[0090] To explore the application of CLI-based radio-TLC analysis to additional isotopes, labeling yield of [.sup.177Lu]Lu-PSMA-617 was measured as a function of reaction time by sampling 2 μL crude product (925 kBq/μL) at different time points and spotting on a TLC plate 12 (silica gel 60 RP-18 F.sub.254, aluminum backing). The results of CLI analysis in
[0091] Cerenkov imaging in combination with parallel developing of multiple samples 14 on a single TLC plate 12 proved to be a practical method for rapid, high-throughput radio-TLC analysis. Compared with the miniGITA radio-TLC scanner, the CLI-based imaging method provided significantly higher resolution, the ability to image multiple samples in parallel (rather than requiring sequential scanning), and the ability to detect and quantify low-abundance impurities that were not discemable with radio-TLC scanning. The bulk of time and effort savings were realized by spotting multiple samples 14 onto a single TLC plate 12 and developing the multiple samples 14 in parallel prior to imaging, rather than spotting the developing separate TLC plates 12 individually. Furthermore, by leveraging the high resolution of CLI, a much smaller separation distance could be used while still resolving each region of radioactivity, further reducing the time needed for developing the samples. The shorter separation distance in turn can facilitate increased throughput by enabling more TLC plates 12 to be imaged within the field of view; alternatively, the optical system could be redesigned to increase the field of view, thus allowing more spots to be imaged without increasing the system cost or imaging time.
[0092] Quantitative accuracy of the CLI-based readout was found to be higher compared to analysis via the radio-TLC scanner software, and relative uncertainty was lower. This was especially true when chromatograms contained overlapping peaks and/or small peaks. Furthermore, CLI-based analysis enabled detection of quality issues in the spotting or development processes.
[0093] CLI imaging of TLC plates 12 has broad application for the analysis of radiotracers labeled with radionuclides that are positron emitters (F-18, Cu-64, Zr-89, I-124) used for PET imaging and radiopharmaceuticals labeled with beta emitters (e.g., I-131, Lu-177). Though the experiments used the analysis of .sup.18F-labeled compounds and .sup.177Lu-labeled peptide, this approach could also be used for the analysis of radiopharmaceuticals labeled with alpha emitters (e.g., Ac-225, Bi-213), with applications in targeted radiotherapeutics. Previous reports have shown detectable Cerenkov emission from such radionuclides, likely due to emissions from daughter isotopes. In addition to high-throughput analysis applications, the rapid separation and readout of radio-TLC plates 12 by the method described here could be especially useful in conjunction with very short-lived isotopes such as C-11 (half-life 20.4 min).
[0094] Reagents and Materials
[0095] Methanol (MeOH), 2,3-dimethyl-2-butanol (thexyl alcohol; 98%), trifluoroacetic acid (TFA, 99%), ethanol (EtOH, 99.5%), anhydrous acetonitrile (MeCN, 99.8%), and 1 N hydrochloric acid (HCl) were purchased from Sigma-Aldrich. Sodium acetate was purchased from Alfa Aesar. Tetrabutylammounium bicarbonate (TBAHCO.sub.3, 75 mM), (S)-2,3-dimethoxy-5-[3-[[(4-methylphenyl)-sulfonyl]oxy]-propyl]-N-[[1-(2-propenyl)-2-pyrrolidinyl]methyl]-benzamide (Fallypride precursor), O-(2-[.sup.18F]Fluoroethyl)-L-tyrosine (FET precursor) and PSMA-617 were purchased from ABX Advanced Biochemical Compounds (Radeberg, Germany). Unmodified and RP-18 modified silica gel 60 F.sub.254 sheets (aluminum backing; 50 mm×200 mm) were purchased from Merck KGaA (Darmstadt, Germany) and were cut into 50 mm×60 mm pieces for use. Baker-flex silica gel IB-F sheets (plastic backing; 25 mm×75 mm) were obtained from Fisher Scientific (Hampton, N.H., USA). Sheets of organic scintillator BC-400 (1 mm and 3 mm thicknesses) were purchased from Saint-Gobain (Kamataka, India). Glass microscope slides (76.2 mm×50.8 mm, 1 mm thick) were obtained from C&A Scientific (Manassas, Va., USA). DI water was obtained from a Milli-Q water purification system (EMD Millipore Corporation, Berlin, Germany). No-carrier-added [.sup.18F]fluoride in [.sup.18O]H.sub.2O was obtained from the UCLA Ahmanson Biomedical Cyclotron. No-carrier-added [.sup.177Lu]LuCl.sub.3 was obtained from Isotope Technologies Munich and Spectron MRC LLC.
[0096] Samples of [.sup.18F]fallypride
[0097] Crude [.sup.18F]fallypride was obtained from a microdroplet synthesis (
[0098] Samples of [.sup.18F]FET
[0099] The microdroplet synthesis of [.sup.18F]FET (
[0100] Samples of [.sup.177Lu]Lu-PSMA-617
[0101] PSMA-617 was added to a solution of [.sup.177Lu]LuCl.sub.3 (84 MBq/nmol precursor) in 0.4M sodium acetate buffer, pH 4.8, containing dihydroxybenzoic acid (10 mg/mL). The mixture was heated to 95° C. in a dry heating block. Multiple samples for Cerenkov analysis were obtained by opening the reaction vial and sampling the reaction mixture at different timepoints.
[0102] Detection Range
[0103] Methods
[0104] To determine the limit of detection (LOD) of the CLI setup for 5 min acquisitions, samples containing different amounts of radioactivity were spotted and analyzed. TLC plates 12 containing a fluorescent dopant were used to maximize the Cerenkov brightness and thus the sensitivity. Radioactivity of the original mixture of [.sup.18F]fluoride/[.sup.18O]H.sub.2O and DI water, measured with a dose calibrator, was 88.8 kBq/μL. A series of 1:1 (v/v) dilutions was created and spotted across two TLC plates 12. Each plate 12 had five of the dilutions, each spotted with n=4 replicates at 1 cm intervals for a total of 20 spots per TLC plate. 1 μL was deposited for each spot. The plates 12 were dried and a glass slide 34 was placed over top during imaging. For each spot 10 on the same TLC plate 12, the deposited activity was estimated and decay-corrected to the start-time of plate imaging. For each TLC plate 12, decay-correction was performed to the start-time of imaging of that TLC plate 12.
[0105] A circular ROI (consisting of 4250 pixels) was drawn around each deposited droplet and the total integrated signal calculated for each from the corrected image. To determine the background noise level, 8 ROIs of the same size were drawn in the blank region of the image and the integrated signal (i.e., total ADUs) computed for each. Since background subtraction has been performed, the integrated signal for each ROI was expected to be close to zero. The noise level was determined by calculating the standard deviation of the integrated signal for the 8 ROIs. The LOD was then taken as the point where a plot of the integrated ADU as a function of activity crossed 3× the noise level.
[0106] The maximum detectable activity was determined by a similar procedure using a dilution series of higher activity spots (radioactivity of the original mixture was 20.7 MBq/μL). After processing Cerenkov images, the integrated signal versus radioactivity was fit to a straight line and the maximum detectable activity was defined where the data points deviated from the line. It was expected that this would occur when spots contain a significant number of saturated pixels.
[0107] Results
[0108] Sample images from the dilution series are shown in
[0109] It should be mentioned that increasing the sample volume is typically not a desirable way to increase the activity level. Instead one can use a different cover plate 34. For example, by replacing the cover glass 34 (1 mm thick) with an organic BC-400 scintillator (1 mm thick), light output was increased significantly, and the LOD could be improved (
[0110] For higher activity levels, pixels in the image can become saturated and the integrated ROI underestimates the actual activity level. The maximum detectable activity of the CLI setup was determined to be 21300 kBq, the interception of the linear fit and theoretical limit (
[0111] Repeatability Test
[0112] As an initial demonstration of high-throughput analysis to study replicate samples, four droplets of the same crude [.sup.18F]fallypride product were deposited on a single TLC plate 12 (silica gel 60 F.sub.254), developed the plate to separate all samples simultaneously (separation distance 35 mm), and then performed CLI imaging of the whole plate.
[0113] Comparison of Radio-TLC Analysis Methods
[0114] Methods
[0115] Three methods of reading and analyzing the TLC plates 12 were compared. Solutions comprising [.sup.18F]fluoride/[.sup.18O]H.sub.2O and DI water were prepared in different activity concentrations ranging from ˜17 kBq/μL to ˜148 kBq/μL. Droplets of the same or different concentrations were spotted on the TLC plate 12 to test the detection performance at different peak ratios. Five different TLC plates 12 were prepared by depositing 1 μL droplets with activities in the following ratios: (1) 50:50 (two droplets of 37 kBq/μL each), (2) 10:90 (droplets of ˜17 kBq/μL and ˜148 kBq/μL, respectively), (3) 80:10:10 (droplets of ˜148, ˜17, and ˜17 kBq/μL, respectively), (4) 10:80:10 (droplets of ˜17, ˜148, and ˜17 kBq/μL, respectively), and (5) 33:33:33 (three droplets of 37 kBq/μL each). For cases with two radioactive spots, the distance between spot centers was 35 mm, and for cases with three spots, the distance was 17.5 mm. Plates were dried after spotting but not developed.
[0116] Cerenkov images and radio-TLC scans were obtained as described above. As a reference point, and to account for possible errors in preparing stock solutions and pipetting, the activity in the spots was also measured with an automatic well-type gamma counter (WIZARD 3″ 1480, Perkin Elmer, Waltham, Mass., USA). The TLC plates were cut with scissors at the midpoint between expected spot locations (2 halves for plates with 2 samples and 3 thirds for plates with 3 samples). Individual pieces of TLC plates were placed in 20 mL HDPE scintillation vials from Thermo Fisher Scientific (Pittsburgh, Pa., USA) and the activity was counted for 1 min. For each original TLC plate 12, the radioactivity distribution of a single spot was expressed as a fraction of the total radioactivity (sum of radioactivity of all spots on the plate).
[0117] A calibration curve was separately generated to ensure all measurements were within the linear range of the gamma counter. The calibration curve was generated by preparing a dilution series of [.sup.18F]fluoride/[.sup.18O]H.sub.2O solution in Eppendorf tubes. A stock solution was prepared with concentration 2590 kBq/mL, and then a 2× dilution series was created by preparing mixtures of 500 μL of DI water with 500 μL of the previous dilution. Samples were measured in a gamma counter for 1 min counting time and decay-corrected to the measurement time of the first sample. The relationship was found to be linear up to ˜300 kBq (
[0118] To compare readout methods (CLI and miniGITA scanner), a survey was made that requested participants (experienced operators of radio-TLC scanners; n=8) to analyze the chromatograms obtained with the miniGITA scanner and the CLI images without knowing the deposited percentages on each of the 5 sample plates. The average percentage was computed for each spot/method (across all participants) and the relative error was determined by using the gamma counter as a reference. This was done by subtracting the percentage as measured by the gamma counter and dividing the result by the gamma counter percentage. The relative uncertainty for a particular spot/method was calculated as the standard deviation of percentages (across all participants) divided by the average of percentages computed above.
[0119] Results
[0120] To systematically compare the performance of CLI readout to a conventional radio-TLC scanner and to determine the influence of overlapping peaks, five mock radio-TLC plates 12 were prepared by spotting with different patterns of activity (
[0121] For all plates, the CLI images showed well-separated spots and participants could readily draw ROIs that accurately contained the activity of each spot. In contrast, the radio-TLC scanner, not equipped with a collimator, showed wide peaks that overlapped in many of the plates. In all cases, the CLI-based results were in better agreement with gamma counter values (lower relative error) compared to the radio-TLC scanner-based results.
[0122] For analysis of the chromatograms from the radio-TLC scanner, it was observed that participants used two different methods for integrating the area under the curve (AUC). In “Method 1”, the area under each peak is integrated down to zero signal level. In “Method 2”, a baseline is first drawn joining the left and right sides of each peak, and the AUC is computed for the area between the curve and the baseline. The varied analysis method introduced variation (higher relative uncertainty) into the radio-TLC scanner results, and the Method 2 analysis led to especially large errors in certain cases (i.e., for small peaks). For samples containing only 2 spots separated by 35 mm (plates A and B), the peaks showed minimal overlap and the AUC could be accurately computed by the radio-TLC scanner software. Results were in reasonable agreement with the gamma counter values, though error and uncertainty were higher than for CLI-based analysis, likely due to variation in where participants defined the edges of each peak and the mixture of integration methods. When the spots had very different activity levels (plate B), the relative uncertainty was significantly higher for the lower activity spot. This trend was observed both for the CLI and radio-TLC scanner methods (6% relative uncertainty in the lower activity spot vs 1% in the higher activity spot for CLI; 10% vs 1% for radio-TLC scanner). In addition, the activity in the smaller peak tended to be underestimated (−5% relative error for CLI; −15% for radio-TLC scanner) while the large peak tended to be slightly overestimated.
[0123] These phenomena were exaggerated for the TLC plates 12 with three radioactive spots, where the corresponding peaks in the chromatogram were overlapping (plates C and D). Using CLI, the smallest spots were underestimated up to −8%, while using the radio-TLC scanner, the smallest peaks were underestimated up to −26%. In these cases, relative uncertainties were lower for CLI (<5%) but were quite high (20-39%) for radio-TLC-based analysis. The higher activity spots in samples C and D were quantified more accurately and precisely by both methods, though the relative accuracy and precision were significantly higher for the CLI-based method. For plate E, with more equal activity distribution among spots, the results were similar to plate A, despite the overlap observed in the radio-TLC chromatograms.
[0124] Overall, the relative uncertainty was much lower for CLI-based analysis compared to radio-TLC scanner software analysis. When analyzing radio-TLC plates containing regions of unequal radioactivity, CLI-based analysis showed improved quantitative accuracy. Because overlapping peaks are often observed in radio-TLC samples in the laboratory and in the literature, it is likely that many studies contain non trivial quantitation errors. Such errors could be minimized by switching to a CLI-based readout method, or alternatively by modifying the radio-TLC scanner to reduce the overlap (e.g., using a collimator on the detector head to decrease peak widths at the expense of reduced sensitivity, or increasing the length of the radio-TLC plates to increase separation between peaks at the expense of longer development times).
[0125] Superposition of Bright-Field and CLI Images
[0126] In some cases, it may be useful to superimpose the CLI image 108 onto a brightfield image of the radio-TLC plate 12. For example, the brightfield image could shows markings on the TC plate of spotting locations and solvent front to help quantify Rr values and identify radioactive species. An example of a superimposed image of a developed TLC plate is shown in
TABLE-US-00001 TABLE 1 Conventional radio-TLC scanner Cerenkov luminescence imaging (CLI) Gamma counter Fraction of activity Fraction of activity Fraction of in each spot Relative Relative in each spot Relative Relative activity in (average ± std. error uncertainty (average ± std. error uncertainty Plate each spot (%) dev. %) (%) (%) dev. %) (%) (%) A 55.1 49.4 ± 0.7 −10 1 52.1 ± 0.9 −5 2 44.9 50.6 ± 0.7 13 1 47.5 ± 0.5 6 1 B 11.7 9.9 ± 1.0 −15 10 11.1 ± 0.7 −5 6 88.3 90.1 ± 1.0 2 1 88.9 ± 0.7 1 1 C 80.0 85.0 ± 4.3 6 5 81.2 ± 0.5 2 1 11.1 8.2 ± 3.2 −26 39 10.6 ± 0.4 −4 4 8.8 6.9 ± 1.4 −22 20 8.1 ± 0.2 −8 3 D 9.8 7.4 ± 2.3 −25 32 9.7 ± 0.5 −1 5 82.2 84.8 ± 4.9 3 6 82.5 ± 0.7 0 1 7.9 7.8 ± 2.6 −1 34 7.8 ± 0.2 −2 3 E 31.4 34.0 ± 1.3 8 4 32.3 ± 0.3 3 1 34.1 32.5 ± 1.3 −5 4 35.2 ± 0.2 3 0 34.5 33.5 ± 0.6 −3 2 32.4 ± 0.3 −6 1
[0127] Table 1 shows the comparison of analyses using radio-TLC scanner software and CLI-based approach for the five TLC plates of
[0128] Optimization of Synthesis Conditions
[0129] One particular application of the system 2 and method is the optimization of radio-TLC conditions for the production of radiochemicals or radiopharmaceuticals. In one example, the system 2 was used to understand the impact of TLC mobile phase, type of TLC plate, and sample solvent and the quality and resolution of separation for[.sup.18F]Flumazenil. For example, 90% MeCN as the TLC mobile phase resulted in separation in both a silica TLC plate and a reversed-phase TLC plate. Conversely, EtOAc/EtOH/H.sub.2O (v/v; 3/1/1) as the mobile phase resulted in no separation in both a silica TLC plate and a reversed-phase TLC plate. For the sample solvent DMSO:thexyl alcohol (1:1 v/v) resulted in significant fronting while DMSO did not. The system 2 was also used to optimize [.sup.18F]Flumazenil synthesis conditions. Optimization was carried out by performing sixty-four (64) reactions per day (16 different conditions, 4 replicates each). Multi-spot Cerenkov TLC was critical in enabling analysis of all these samples to quantify the fraction of unreacted [.sup.18F]Fluoride, [18F]flumazenil, and any side products produced under each condition so the yield of the desired product could be maximized.
[0130] The system 2 was also used to optimize radio-TLC conditions for the analysis of crude [.sup.18F]Florbetaben ([.sup.18F]FBB). Cerenkov imaging helped to understand the impact of TLC mobile phase, type of TLC plate 12, and sample solvent and the quality and resolution of separation. By simultaneously separating different samples containing different species, it was possible to unambiguously identify which spot was which species in each Cerenkov image. The synthesis of [.sup.18F]FBB involves two steps. First the precursor is fluorinated to produce the intermediate, then the intermediate is deprotected via acid to form the final product. Thus, the crude mixture can contain all three species (plus any potential impurities). Using reversed-phase TLC plate 12 (with 40 mm separation), a mobile phase of 10:90 v/v H.sub.2O/MeCN was found to perform better than 1:1 v/v Hexane/EtOAc or 1:1 v/v H.sub.2O/MeCN. This resulted in quick development times, developing in around 3 minutes.
[0131] While embodiments of the present invention have been shown and described, various modifications may be made without departing from the scope of the present invention. The invention, therefore, should not be limited except to the following claims and their equivalents.