The author would like to acknowledge the initial support of Dr Cesar Ramirez during initial method developments.

1. Sample preparation
<ol>
	<li>Store the fentanyl analog screening kit at -20 &#176;C once they have been received. Resuspend each sample to a final concentration of 400 &#181;g/mL by the addition of 500 &#181;L of pure LC/MS grade methanol.</li>
	<li>Mix using a plate mixer or vortexer at 400 rpm for 1 h or vortex at medium speed for 15 min. After resuspension store the vials at -20 &#176;C.</li>
	<li>Dilute each standard to a final concentration of 1 ng/mL using pure LC/MS grade methanol.</li>
	<li>Group the standards into groups, such that each group does not contain any isomeric standards. See Supplementary Table 1 for the breakdown of the 14 groups of fentanyl standards.</li>
</ol>
2. HPLC mobile phases preparation
<ol>
	<li>Prepare mobile phase A (MPA) using 5 mM/L ammonium formate (NH4HCO2) in H2O with 0.05% formic acid (85%).
	<ol>
		<li>Weigh out 0.078 g of NH4HCO2, pour into a 250 mL volumetric flask and fill with water to about 2/3rd. Swirl to mix well.</li>
		<li>Once fully dissolved, add 0.125 mL of formic acid (85%). Fill with water to the fill line (250 mL) and mix.</li>
	</ol>
	</li>
	<li>Prepare mobile phase B (MPB) using 0.05% formic acid in a 1:1 methanol acetonitrile mixture.
	<ol>
		<li>Pour 125 mL of acetonitrile into a volumetric flask and add methanol until it reaches the fill line.</li>
		<li>Swirl to mix well. Add 0.125 mL of 0.05% formic acid to the flask and mix to homogenize.</li>
	</ol>
	</li>
</ol>
3. HPLC method development
<ol>
	<li>Open the LC software to the home screen. In the sample table, located at the center of the window, create a new protocol.
	<ol>
		<li>Annotate the vial column with the sample location. Annotate the sample ID column using the format YYYYMMDD_NAME (representative descriptor). Annotate the volume column with the desired the injection volume (15 &#181;L).</li>
	</ol>
	</li>
	<li>Annotate the data path column with the location where the data will be saved to.</li>
	<li>HPLC method input
	<ol>
		<li>Select New from the bar in the sample table located in the middle of the screen. Under the separation method, select the Drop-down Arrow and click New Method in the pop-up window.</li>
		<li>A new window will pop up labeled separation method, here edit the acquisition time or the instrument control framework (ICF) system method.</li>
		<li>Double click the Edit Method button for the ICF system to open up the popup to edit the binary gradient, as seen in Figure 1.</li>
		<li>Under the binary gradient tab, a visual representation of the gradient is on the left and the breakdown of the gradient is on the right, set the time stamps, the flow rate and the MPA and MPB concentrations.</li>
		<li>Ensure the stop time is set to 18 min, the flow rate to 0.400 mL/min, and pressure limit min and max at 0 psi and 6000 psi.</li>
		<li>Set the time stamp concentrations as following: 
		At 0.00 min, set B concentration to 20.0. 
		At 1.50 min, set B concentration to 25.0. 
		At 3.00 min, set B concentration to 27.0. 
		At 6.00 min, set B concentration to 27.0. 
		At 6.50 min, set B concentration to 30.0. 
		At 7.00 min, set B concentration to 95.0. 
		At 16.00 min, set B concentration to 95.0. 
		At 16.50 min, set B concentration to 20.0.</li>
	</ol>
	</li>
</ol>
4. Initialization of the HPLC
<ol>
	<li>In the HPLC column section, insert the LC column (monolithic C18 HPLC column 100 mm x 4.6 mm) and column guards (guard column 5 mm x 4.6 mm). Pay attention to the minimum and maximum column pressure.</li>
	<li>Run a sample blank (same buffer solution) to test for any leaks and create a baseline. Look for leaks. Leaks could be observed by column pressure fluctuations. If there are leaks determine where they might be coming from and tighten the connections.</li>
	<li>Run a sample blank (same buffer solution) using the desired LC program to precondition the column.</li>
</ol>
5. timsTOF MS/MS method development
<ol>
	<li>Open the timsControl application. On the left side of the window are the MS and TIMS Settings.
	<ol>
		<li>Under MS settings set the scan beginning and ending to 50 m/z and 1800 m/z, respectively. Select positive mode for the ion polarity and select parallel accumulation-serial fragmentation for the scan mode.</li>
		<li>Under TIMS Settings set the Mode to custom, 1/K0 start to 0.40 Vs/cm2, 1/K0 end to 1.85 Vs/cm2, ramp time set to 150.0 ms, and MS averaging set to 1.</li>
	</ol>
	</li>
	<li>In the lower selection of tabs under Source perform the following changes in the two setting boxes.
	<ol>
		<li>In the source, set the end plate offset to 500 V, capillary to 4500 V, nebulizer to 3.0 bar, dry gas to 10.0 L/min, and dry temp to 200 &#176;C.</li>
		<li>In the syringe pump settings, ensure the syringe is Hamilton 1 mL, active is enabled, and the flow rate set to 80.0 &#181;L/h.</li>
	</ol>
	</li>
	<li>In the Tune tab perform the following changes in the setting tabs for General, Processing, and TIMS.
	<ol>
		<li>Under general settings tab, setup the following sections: transfer, collision cell, quadrupole, focus pre TOF, and detection.
		<ol>
			<li>Under the transfer settings, set the deflection 1 delta to 70.0 V, funnel 1 RF to 341.0 Vpp, CID energy to 0.0 eV, funnel 2 RF to 300.0 Vpp, multipole RF to 300.0 Vpp.</li>
			<li>Under the collision cell settings, ensure that the collision energy is set to 6.0 eV and the collision RF to 1200.0 Vpp.</li>
			<li>Under the quadrupole settings, ensure ion energy is set to 6.0 eV and low mass to 250.00 m/z.</li>
			<li>Under the focus pre TOF settings, set transfer time to 75.0 &#181;s and pre-pulse storage to 5.0 &#181;s.</li>
		</ol>
		</li>
		<li>Under the processing settings tab, set up the following sections: mass spectra peak detection and mobility peak detection.
		<ol>
			<li>In the mass spectra peak settings, unselect sum of intensities (area) and set the absolute threshold to 667.</li>
		</ol>
		</li>
		<li>Under the TIMS tab, set up the following sections: offsets, ion change control, and advanced parameters.
		<ol>
			<li>Under the offsets setting set &#916;t1 to -20.0 V, &#916;t2 to -100.0 V, &#916;t3 to 40.0 V, &#916;t4 to 80.0 V, &#916;t5 to 0.0 V, &#916;t6 to 120.0, and collision cell in to 250.0 V.</li>
			<li>Under the ion charge control settings, click the box to enable and set the target intensity to 5.00 M.</li>
			<li>Under the advanced parameters, enable the lock accumulation to mobility range.</li>
		</ol>
		</li>
	</ol>
	</li>
	<li>In the MS/MS tab set the Scan mode to parallel accumulation-serial fragmentation and set up the following sections: precursor ions, scheduling, active exclusion, collision energy settings, isolation width settings, and TIMS stepping.
	<ol>
		<li>Under precursor ions, set the number of parallel accumulation-serial fragmentation ramps to 8, charge minimum to 1, and charge maximum to 5.</li>
		<li>Under scheduling settings, enable the precursor repetitions. Under active exclusion, check the box to enable and set the release to 0.40 min after.</li>
		<li>Do not adjust the collision energy settings and isolation width settings. Click the TIMS Stepping Box to enable.</li>
	</ol>
	</li>
</ol>
6. Mobility and mass calibration
<ol>
	<li>Perform calibration for both m/z and mobility domains. Under the m/z calibration settings, select one of the preloaded tuning mix profiles in the reference list box that appear in the drop-down menu.</li>
	<li>To calibrate, load the syringe for the TOF with a tuning mix solution. On the right side of the window, use the settings titled calibration mode for the various calibration types to be set to achieve the highest score.</li>
	<li>Ensure that the score is as close to 100% as possible. Switch between linear, quadradic and enhanced quadratic to achieve the best score.</li>
	<li>Calibrate for mobility following steps 6.1-6.3 used for calibrating m/z.</li>
	<li>Once calibrated, save the MS method by selecting the Method tab on the top bar. In the drop-down menu, select Save As to generate a new MS method file.</li>
</ol>
7. Creating data independent acquisition (dia) parallel accumulation-serial fragmentation method
<ol>
	<li>Once a data set has been collected in data dependent acquisition (dda) parallel accumulation-serial fragmentation, run the experiments in dia. Open the ion mobility software application and load the dda method saved in step 6.5.</li>
	<li>Leave all the settings the same expect for the MS setting, change this from parallel accumulation-serial fragmentation to dia- parallel accumulation-serial fragmentation.</li>
	<li>On the bottom of the panel, select the MSMS tab and then click on Window Editor to open the dia window popup shown in Figure 2.</li>
	<li>Load the previously saved dda data set (.m file) using the open analysis button located at the top of the popup window.</li>
	<li>A heat map appears at the bottom left displaying windows with a polygon of windows running diagonally across the graph. Click and drag to resize the polygon so that it fits the data in the heat map (corners are selectable by double clicking on the lateral lines a point will appear that can be dragged and resized).</li>
	<li>To the right of the windows are the window settings. Set the mass width (50 is go to) and set the horizontal overlap, both in Da.</li>
	<li>Set the number of mobility windows in per mass width and the vertical overlap.</li>
	<li>Click Calculate Windows on the bottom right of the popup to see the windows displayed with the new settings. Once suitable, click Apply dia-PASEF Windows to Method. This will close the popup bringing it back to the home screen.</li>
</ol>
8. HPLC ion mobility TOF data processing
<ol>
	<li>Open the data analysis software. At the top left corner click on the File tab and select Open from the drop down. In the new files window select the files of choice and click Open.</li>
	<li>Check the calibration. Right click on the file name under the analysis box and select Properties. A window labeled file name_analysis properties will appear. Select Calibration Status.</li>
	<li>From the drop-down box, select Instrument Calibration for the Mass Spectrometer. Confirm that the error is no greater than 1 &#181;g/mL. Select Initial Mobility Calibration and confirm that the error is no greater than 1 &#181;g/mL.</li>
	<li>Prepare a chromatogram in the data analysis software as described below.
	<ol>
		<li>Right click on Chromatogram under the file name, select Edit Chromatogram. In type, click the drop-down box and select Extracted Ion Chromatogram.</li>
		<li>Under filter, select All MS and with scan mode select All. This is to view the peaks for the molecule of interest rather than only its fragments.</li>
		<li>Below this, look for the two filter options for molecule selection: masses or formula highlighted in blue.</li>
		<li>If using masses to extract an ion, insert the theoretical m/z of the molecule of interest. For this case select (mass for representative result) m/z.</li>
		<li>If using formula to extract an ion, insert the formula for the molecule as well as the ion forms of interest for the chromatogram. In this case, select the protonated ion, [M+H]+.</li>
		<li>Set the polarity to positive mode.</li>
	</ol>
	</li>
	<li>Mass spectrum
	<ol>
		<li>Right click at the baseline of the peak of the compound and drag to the other edge of the peak. This will create a mass spectrum of fragments within that retention time.</li>
	</ol>
	</li>
	<li>Generation of Mobilogram
	<ol>
		<li>Right click on the left tab titled mobilogram and select Edit Mobilogram. A window titled edit mobilogram traces will appear. Follow steps 8.4.2-8.4.7 for editing the chromatogram.</li>
		<li>In the retention time input, add the retention time range of the peak of interest.</li>
		<li>Once the parameters are selected, click Add followed by Ok at the top right of the edit mobilogram traces window.</li>
		<li>After a short amount of time, the software will process the desired selections and output a chromatogram. Repeat steps 8.6.1-8.6.3 for all ions in the mixture.</li>
		<li>Generating the compound spectra
		<ol>
			<li>At the bottom of the spectrum view window, select Profile MS and Fragment MS. This will allow to include ions from full scan and PASEF.</li>
			<li>At spectrum view, right click and select Copy Compound Spectra. With the spectrum data that appears at the right, find more information on the compound such as resolution resolving power, intensity, and signal to noise ratio (S/N).</li>
		</ol>
		</li>
		<li>Data processing
		<ol>
			<li>To process the data, manually integrate the chromatogram and mobility peaks to yield important information on the molecule of interest.</li>
			<li>Right click Find and select Integrate only chromatogram or mobilogram. Left click and drag to highlight the desired peak. The information will be displayed which includes retention time, area, S/N, and mobility.</li>
		</ol>
		</li>
	</ol>
	</li>
</ol>

Harvesting the Orthogonality of LC and TIMS&#45;TOF MS&#47;MS to Screen Fentanyl Analogs

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K. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Analysis+of+fentanyl+analogs+and+novel+synthetic+opioids+in+blood,+serum/plasma,+and+urine+in+forensic+casework.">Analysis of fentanyl analogs and novel synthetic opioids in blood, serum/plasma, and urine in forensic casework.</a> Drug Testing and Analysis. 10 (9), 1358-1367 (2018).</li><li>Seither, J., Reidy, L. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Confirmation+of+Carfentanil,+U-47700+and+Other+Synthetic+Opioids+in+a+Human+Performance+Case+by+LC-MS-MS.">Confirmation of Carfentanil, U-47700 and Other Synthetic Opioids in a Human Performance Case by LC-MS-MS.</a> Journal of Analytical Toxicology. 41 (6), 493-497 (2017).</li><li>Strayer, K. E., Antonides, H. M., Juhascik, M. P., Daniulaityte, R., Sizemore, I. E. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=LC-MS/MS-Based+Method+for+the+Multiplex+Detection+of+24+Fentanyl+Analogues+and+Metabolites+in+Whole+Blood+at+Sub+ng+mL(-1)+Concentrations.">LC-MS/MS-Based Method for the Multiplex Detection of 24 Fentanyl Analogues and Metabolites in Whole Blood at Sub ng mL(-1) Concentrations.</a> ACS Omega. 3 (-1), 514-523 (2018).</li><li>Kahl, J. H., Gonyea, J., Humphrey, S. M., Hime, G. W., Boland, D. M. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Quantitative+Analysis+of+Fentanyl+and+Six+Fentanyl+Analogs+in+Postmortem+Specimens+by+UHPLC-MS-MS.">Quantitative Analysis of Fentanyl and Six Fentanyl Analogs in Postmortem Specimens by UHPLC-MS-MS.</a> Journal of Analytical Toxicology. 42 (8), 570-580 (2018).</li><li>Fogarty, M. F., Papsun, D. M., Logan, B. K. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Analysis+of+Fentanyl+and+18+Novel+Fentanyl+Analogs+and+Metabolites+by+LC-MS-MS,+and+report+of+Fatalities+Associated+with+Methoxyacetylfentanyl+and+Cyclopropylfentanyl.">Analysis of Fentanyl and 18 Novel Fentanyl Analogs and Metabolites by LC-MS-MS, and report of Fatalities Associated with Methoxyacetylfentanyl and Cyclopropylfentanyl.</a> Journal of Analytical Toxicology. 42 (9), 592-604 (2018).</li><li>Lurie, I. S., Berrier, A. L., Casale, J. F., Iio, R., Bozenko, J. S. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Profiling+of+illicit+fentanyl+using+UHPLC-MS/MS.">Profiling of illicit fentanyl using UHPLC-MS/MS.</a> Forensic Science International. 220 (1-3), 191-196 (2012).</li><li>Krajewski, L. C., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Application+of+the+fentanyl+analog+screening+kit+toward+the+identification+of+emerging+synthetic+opioids+in+human+plasma+and+urine+by+LC-QTOF.">Application of the fentanyl analog screening kit toward the identification of emerging synthetic opioids in human plasma and urine by LC-QTOF.</a> Toxicology Letters. 320, 87-94 (2020).</li><li>Pirok, B. W. J., Stoll, D. R., Schoenmakers, P. J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Recent+Developments+in+Two-Dimensional+Liquid+Chromatography:+Fundamental+Improvements+for+Practical+Applications.">Recent Developments in Two-Dimensional Liquid Chromatography: Fundamental Improvements for Practical Applications.</a> Analytical Chemistry. 91 (1), 240-263 (2018).</li><li>Keller, T., Keller, A., Tutsch-Bauer, E., Monticelli, F. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Application+of+ion+mobility+spectrometry+in+cases+of+forensic+interest.">Application of ion mobility spectrometry in cases of forensic interest.</a> Forensic Science International. 161 (2-3), 130-140 (2006).</li><li>Klingberg, J., Keen, B., Cawley, A., Pasin, D., Fu, S. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Developments+in+high-resolution+mass+spectrometric+analyses+of+new+psychoactive+substances.">Developments in high-resolution mass spectrometric analyses of new psychoactive substances.</a> Archives of Toxicology. 96 (4), 949-967 (2022).</li><li>Fleming, S. W., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Analysis+of+U-47700,+a+Novel+Synthetic+Opioid,+in+Human+Urine+by+LC-MS-MS+and+LC-QToF.">Analysis of U-47700, a Novel Synthetic Opioid, in Human Urine by LC-MS-MS and LC-QToF.</a> Journal of Analytical Toxicology. 41 (3), 173-180 (2017).</li><li>Guale, F., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Validation+of+LC-TOF-MS+screening+for+drugs,+metabolites,+and+collateral+compounds+in+forensic+toxicology+specimens.">Validation of LC-TOF-MS screening for drugs, metabolites, and collateral compounds in forensic toxicology specimens.</a> Journal of Analytical Toxicology. 37 (1), 17-24 (2013).</li><li>Palmquist, K. B., Swortwood, M. J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Data-independent+screening+method+for+14+fentanyl+analogs+in+whole+blood+and+oral+fluid+using+LC-QTOF-MS.">Data-independent screening method for 14 fentanyl analogs in whole blood and oral fluid using LC-QTOF-MS.</a> Forensic Science International. 297, 189-197 (2019).</li><li>Adams, K. J., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Analysis+of+isomeric+opioids+in+urine+using+LC-TIMS-TOF+MS.">Analysis of isomeric opioids in urine using LC-TIMS-TOF MS.</a> Talanta. 183, 177-183 (2018).</li></ol>

Matthew Willetts and Melvin A. Park are employees of Bruker Daltonics Inc, the manufacturer of the timsTOF Pro2 commercial instrument. All the other authors declare no conflicts of interest.

The analytical separation of biological samples containing high isomeric content can be analytically challenging. In this paper, the method described aims to characterize 29 isomer sets, for a total of 185 analogs from a 250 opioid standard kit. During the test group preparation, it is important to ensure that there are no two analogs with m/z that cannot be experimentally distinguished. The data described here uses standards not from a human-based matrix, if this method is to be used in a field experiment; additional tr...

Fentanyl and its analogs are the major contributors to fatal and nonfatal overdoses in the United States1,2. The Center for Disease Control and Prevention (CDC) reported that the number of synthetic opioid-related overdose deaths from 2013 through 2021 was over 258,000. In 2021 alone, over 68,000 overdose deaths could be attributed to synthetic opioids, totaling 82% of all overdose-related deaths in the nation3. Since 2013, hundreds of fentanyl analogs have been identified, with varying potency4. With the emergence of illicitly manufactured fentanyl analogs, the schedule II synthetic opioid itself remains the most popular synthetic opioid available in the United States3. According to the Center for Forensic Science Research and Education (CFSRE), the top reported fentanyl analog in 2022 was fluorofentanyl, with additional non-fentanyl related synthetic opioids now being introduced into the volatile drug market supply at a rapid rate5.
Due to the overwhelming volume of fentanyl and fentanyl-related analogs circulating in the drug market, the DEA has implemented a fentanyl signature profiling program entitled Operation Death Dragon, in order to track the methodology used to synthesize these compounds with hopes of linking drug seizures back to their origin6. In 2018, 94% of the drug seizures were identified as being synthesized by the Janssen method, while the remaining 6% were synthesized with the Siegfried method6. The primary difference between the two methods is the presence of the fentanyl analog, benzyl fentanyl, detected as an impurity in the Janssen method, while the presence of despropionyl fentanyl (4-ANPP), a metabolite/precursor of fentanyl, is an impurity detected when synthesizing with the Siegfried method7.
The use of gas and liquid chromatography in tandem with mass spectrometry (GC-MS and LC-MS, respectively) for the targeted screening and quantification of synthetic opioids is regularly implemented in toxicology laboratories. GC-MS has been considered the gold standard for the detection of drugs of abuse in biological specimens. Access to publicly available mass spectral libraries8 and instrumentation marketed as plug and play systems9 are some reasons why GC-MS has remained an integral part in laboratories for both comprehensive screening as well as targeted quantification9,10. However, current GC-MS quantification methods in the literature tend to have a limited scope of analytes11 and quickly become outdated and not applicable to current casework. More importantly, the limits of detection and quantification are not comparable to LC-MS methods (&#60; 1 ng/mL)12, therefore increasing the potential for false-negative results. One such comparison between GC-MS and LC-MS which looked at postmortem specimens, noted that out of 134 positively identified cases of carfentanil, one of the most potent synthetic opioids to date, 104 of those cases screened negative for carfentanil utilizing GC-MS13. In drug analysis laboratories, GC-MS is more frequently used and amendable for synthetic opioids due to the high concentration of the analyzed samples. Yet, GC-MS is still utilized in conjunction with additional techniques such as Fourier transform-infrared spectroscopy (FT-IR) and scanning electron microscopy (SEM) for the confirmation of these compounds14. The application of GC-MS to the analysis of biological specimens in forensic toxicology requires sample preparation methods that include the extraction of these compounds using either liquid-liquid extraction (LLE) or solid-phase extraction (SPE)15. LLE can be conducted with a variety of solvents, however in a high-production lab, LLE may not be cost-efficient or timely. LLE consumes large quantities of solvents as well as sample volume, while the alternative, SPE, can be automated and requires minimum sample volume16. A recent GC-MS study reported the separation of 20 different isomeric fentanyl analogs using three separate GC thermal programs17. While baseline separation among isomers was successful, the applicability of this method to relevant forensic casework and workflows is limited.
LC-MS has gained popularity in forensic testing, especially due to the limitations of GC-MS when it comes to non-volatile and heat-sensitive compounds18,19. LC-MS screening utilizing triple quadrupoles (QQQ) and ion trap instrumentation have been successful in detecting synthetic opioids at low concentrations (&#60;1 ng/mL)12,20,21,22,23,24. Typically, these LC-MS methods are used as secondary confirmation methods to complement immunoassay and/or GC-MS results. In 2017, Shoff et al. at the Miami-Dade County medical examiner department (MDME) toxicology laboratory developed a comprehensive screening method for 44 opioid-related compounds using ultra high pressure liquid chromatography (UHPLC)-ion trap-MSn 13. Similar to targeted MRM methods, this ion trap method utilized a scheduled precursor list (SPL) containing retention times, precursor target ions, as well as primary daughter ions for MS3 spectral fragmentation when possible. What separates this screening method from methods developed on triple quadrupoles and linear quadrupole ion traps is the additional detail provided in the spectral data. What this screening method cannot provide is quantitative analysis, which is rarely developed on ion trap instrumentation, as well as the identification of unknowns13. LC-QQQ methods for synthetic opioids can simultaneously screen and quantify a predefined target list. The use of multiple reaction monitoring (MRM) transitions for the identification and quantification of compounds is a trusted data acquisition technique and is the most common technique utilized in the literature for the detection of synthetic opioids12,20.&#160;Reported linear ranges for the quantification of an array of synthetic opioids span from 0.01-100 ng/mL, with more potent synthetic opioids, such as carfentanil, detected at the sub-ng/mL range11,24,25,26,27.
The separation of isomeric synthetic opioids has been addressed in LC-MS methods. One such method separated 174 isomeric fentanyl analogs within a 16 min runtime using a biphenyl column28. In addition, fluctuations in LC-dependent parameters such as column efficiency, mobile phase pH, and pressure changes create retention time shifts that must be accounted for in targeted assays with consistent monitoring and larger collection windows (&#62;0.4 min), which may result in potential overlap of these once resolved isomers. Additional chromatographic techniques for the separation of isomers have been explored, including the use of 2-dimensional liquid chromatography (2D-LC)29; and while this technique does have the ability to provide orthogonal separation of compounds, the disadvantages outweigh the advantages including excessive run-times, cost, difficulty in method development, and usefulness compared to alternative separations30.
High resolution mass spectrometry (HRMS) is becoming increasingly reliable for the identification of synthetic opioids. Several instrumentation companies have marketed targeted methods developed for the purposes of identifying a broad range of synthetic opioids in complex biological matrices19,28,31. These methods, unlike previously discussed methods, can store analytical data for retroactive analysis. Thus, specimens that were previously analyzed with undetermined results can be revisited later for discovery of newly identified compounds. What separates HRMS from QQQ is accurate mass identification. While both MS techniques can accurately quantitate at low concentrations, HRMS has been proven to be more effective for initial screening and discovery of unknown compounds32,33,34. HRMS, specifically with time-of-flight (TOF) MS analyzers, has been at the forefront of NPS discovery, allowing forensic testing laboratories to deliver time-sensitive data on new compounds to both law enforcement and the scientific community to scale the spread of some of these compounds while increasing awareness and education33. The use of TOF for the detection of drugs of abuse has become extremely comprehensive, with methods containing an upwards of 600 compounds separated within a 10 min chromatographic program. Previous studies have been reported the advantages of trapped ion mobility spectroscopy (TIMS) coupled to TOF for detection and separation of isomeric opioids35.
Taking advantage of the orthogonality between liquid chromatography, trapped ion mobility spectrometry and mass spectrometry, the presented method provides a broad characterization of fentanyl analogs based on the retention time, isotopic pattern, mobility, and fragmentation pattern.

<table border="1" fo:keep-together.within-page="1" fo:keep-with-next.within-page="always">
	<tbody>
		<tr>
			<td>Ammonium formate for HPLC</td>
			<td>Fluka</td>
			<td>17843-50G</td>
			<td></td>
		</tr>
		<tr>
			<td>Eppendorf&#160;Snap-Cap Microcentrifuge Safe-Lock Tubes</td>
			<td>Fisher</td>
			<td>05-402-25</td>
			<td></td>
		</tr>
		<tr>
			<td>ESI-L Low Concentration Tuning mix</td>
			<td>Agilent</td>
			<td>G1969-85000</td>
			<td></td>
		</tr>
		<tr>
			<td>Fentanyl Analog Screening (FAS) Kit&#160;</td>
			<td>Cayman Chemical</td>
			<td>9003237, 9003286, 9003380, 9003381</td>
			<td>kit of 250 snthetic opioids, 210 fentanyl analogs, broken up into one kit and emergent panel versions 1-4</td>
		</tr>
		<tr>
			<td>Formic acid Optima LC/MS</td>
			<td>Fisher</td>
			<td>A117-50</td>
			<td></td>
		</tr>
		<tr>
			<td>Onyx guard column (5 x 4.6 mm)&#160;</td>
			<td>Phenomenex</td>
			<td>CHO-7649</td>
			<td>guard column for C18 columns</td>
		</tr>
		<tr>
			<td>Onyx monolithic C18 HPLC column (100 x 4.6 mm)</td>
			<td>Phenomenex</td>
			<td>CHO-7643</td>
			<td>reverse phase C18 LC column</td>
		</tr>
		<tr>
			<td>Optima grade acetonitrile&#160;</td>
			<td>Fisher</td>
			<td>A996-4</td>
			<td></td>
		</tr>
		<tr>
			<td>Optima grade methanol</td>
			<td>Fisher</td>
			<td>A454-4</td>
			<td></td>
		</tr>
		<tr>
			<td>Optima grade water</td>
			<td>Fisher</td>
			<td>W7-4</td>
			<td></td>
		</tr>
		<tr>
			<td>Pipette</td>
			<td>Fisher</td>
			<td>05-719-510</td>
			<td>kit of 1-10 &#181;L, 10-100 &#181;L, and 100-1000 &#181;L pipette</td>
		</tr>
		<tr>
			<td>Pipette tips 10&#181;L</td>
			<td>Fisher</td>
			<td>94060100</td>
			<td></td>
		</tr>
		<tr>
			<td>Pipette tips 1000&#181;L</td>
			<td>Fisher</td>
			<td>94056710</td>
			<td></td>
		</tr>
		<tr>
			<td>Pipette tips 200&#181;L</td>
			<td>Fisher</td>
			<td>94060310</td>
			<td></td>
		</tr>
		<tr>
			<td>Plate mixer</td>
			<td>IKA&#160;</td>
			<td>MS 3 D S1</td>
			<td>IKA MS 3 digtital</td>
		</tr>
		<tr>
			<td>Prominence LC-20 CE ultrafast liquid chromatograph</td>
			<td>Shimadzu, Japan</td>
			<td></td>
			<td>equiped with DGU-20A5, LC-20AD, SIL-20AC, CTO-20A, SPD-M20A, CBM-20A, SPD-20A</td>
		</tr>
		<tr>
			<td>timsTOF Pro</td>
			<td>Bruker Daltonics Inc., Billerica, MA</td>
			<td></td>
			<td>timsTOF instrument with PASEF&#160;</td>
		</tr>
	</tbody>
</table>

fentanyl analog screening using lc-tims-tof ms/ms

The use of fentanyl and the emergence of fentanyl analogs over recent decades has become an increasing concern to the community at large. Fentanyl and its analogs are the major contributors to fatal and nonfatal overdoses in the United States. Most recent cases of fentanyl-related overdose are linked to illicitly manufactured fentanyl and its associated extreme potency. In the present work, we describe a high-throughput analytical protocol for the screening of fentanyl analogs. The use of complementary liquid chromatography, trapped ion mobility spectrometry, and tandem mass spectrometry allow for the separation and assignment of hundreds of fentanyl analogs from a single sample in a single scan. The described approach takes advantage of the recent development of data-dependent acquisition and data-independent acquisition using parallel accumulation in the mobility trap followed by sequential fragmentation using collision-induced dissociation. The fentanyl analogs are confidently assigned based on their retention time, mobility, and MS fragmentation pattern.

The fentanyl analog screening kit of 250 analogs standards were divided into 14 groups: 12 groups of 17 analogs and 2 groups of 16 analogs, to avoid m/z interferences. Each analog is further characterized by their m/z, retention time (RT), mobility (K), and MS/MS fragmentation pattern.
Examples of isomeric separations are shown in Figure 3 and Figure 4 for the C22H28N2O2 and...

Author Spotlight: An Efficient Methodology to Confidently Differentiate and Characterize Fentanyl Analogs 

A method for the screening of fentanyl analogs based on their retention time, mobility, and mass spectrometry fragmentation pattern.

Fentanyl Analog Screening using LC-TIMS-TOF MS/MS

The use of fentanyl and the emergence of fentanyl analogs over recent decades has become an increasing concern to the community at large. Fentanyl and its ...

The scope of our research is to develop a method to discriminate and characterize isomeric analogs. This research aims to investigate if a method can be developed to confidently differentiate a large quantity, especially structural isomers. This protocol incorporates four modes of characterization that have previously not been coupled.Using four orthogonal methods of identification for the analogs should improve the ability to differentiate isomers that are difficult to differentiate with current standard procedures. Fentanyl is a big societal concern in the opioid epidemic. New analogs created in illicit labs are being found every day, and having a methodology that quickly and confidentially helps determine each analogs that are in a sample could improve the efficiency in drug law enforcement.

fentanyl-analog-screening-using-lc-tims-tof-msms

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637 Views.  Florida International University. The scope of our research is to develop a method to discriminate and characterize isomeric analogs. This research aims to investigate if a method can be developed to confidently differentiate a large quantity, especially structural isomers. This protocol incorporates four modes of characterization that have previously not been coupled.Using four orthogonal methods of identification for the analogs should improve the ability to differentiate isomers that are difficult to differentiate w...

Video: Author Spotlight: An Efficient Methodology to Confidently Differentiate and Characterize Fentanyl Analogs 

Integration of Miniaturized Solid Phase Extraction and LC-MS/MS Detection of 3-Nitrotyrosine in Human Urine for Clinical Applications

Free 3-nitrotyrosine (3-NT) has been extensively used as a possible biomarker for oxidative stress. Increased levels of 3-NT have been reported in a wide variety of pathological conditions. However, existing methods lack the sufficient sensitivity and/or specificity necessary to measure the low endogenous level of 3-NT reliably and are too cumbersome for clinical applications. Hence, analytical improvement is urgently needed to accurately quantify the levels of 3-NT and verify the role of 3-NT in pathological conditions. This protocol presents the development of a novel liquid chromatography tandem mass spectrometry (LC-MS/MS) detection combined with a miniaturized solid phase extraction (SPE) for the rapid and accurate measurement of 3-NT in human urine as a non-invasive biomarker for oxidative stress. SPE using a 96-well plate markedly simplified the process by combining sample cleanup and analyte enrichment without tedious derivatization and evaporation steps, reducing solvent consumption, waste disposal, risk of contamination and overall processing time. The employment of 25 mM ammonium acetate (NH4OAc) at pH 9 as the SPE elution solution substantially enhanced the selectivity. Mass spectrometry signal response was improved through adjustment of the multiple reaction monitoring (MRM) transitions. Use of 0.01% HCOOH as additive on a pentafluorophenyl (PFP) column (150 mm x 2.1 mm, 3 &#181;m) improved signal response another 2.5-fold and shortened the overall run time to 7 min. A lower limit of quantitation (LLOQ) of 10 pg/mL (0.044 nM) was achieved, representing a significant sensitivity improvement over the reported assays. This simplified, rapid, selective and sensitive method allows two plates of urine samples (n = 192) to be processed in a 24 h time-period. Considering the markedly improved analytical performance, and non-invasive and inexpensive urine sampling, the proposed assay is beneficial for pre-clinical and clinical studies.

A selective and sensitive liquid chromatography tandem mass spectrometry (LC-MS/MS) method coupled with an efficient solid phase extraction on a mixed-mode cation-exchange (MCX) 96-well microplate was developed for the measurement of free 3-nitrotyrosine (3-NT) in human urine with high throughput, which is suitable for clinical applications.

Free 3-nitrotyrosine (3-NT) has been extensively used as a possible biomarker for oxidative stress. Increased levels of 3-NT have been reported in a wide ...

Natural Product Discovery with LC-MS/MS Diagnostic Fragmentation Filtering: Application for Microcystin Analysis

Natural products are often biosynthesized as mixtures of structurally similar compounds, rather than a single compound. Due to their common structural features, many compounds within the same class undergo similar MS/MS fragmentation and have several identical product ions and/or neutral losses. The purpose of diagnostic fragmentation filtering (DFF) is to efficiently detect all compounds of a given class in a complex extract by screening non-targeted LC-MS/MS datasets for MS/MS spectra that contain class specific product ions and/or neutral losses. This method is based on a DFF module implemented within the open-source MZmine platform that requires sample extracts be analyzed by data-dependent acquisition on a high-resolution mass spectrometer such as quadrupole Orbitrap or quadrupole time-of-flight mass analyzers. The main limitation of this approach is the analyst must first define which product ions and/or neutral losses are specific for the targeted class of natural products. DFF allows for the subsequent discovery of all related natural products within a complex sample, including new compounds. In this work, we demonstrate the effectiveness of DFF by screening extracts of Microcystis aeruginosa, a prominent harmful algal bloom causing cyanobacteria, for the production of microcystins.

Diagnostic fragmentation filtering, implemented into MZmine, is an elegant, post-acquisition approach to screen LC-MS/MS datasets for entire classes of both known and unknown natural products. This tool searches MS/MS spectra for product ions and/or neutral losses that the analyst has defined as being diagnostic for the entire class of compounds.

Natural products are often biosynthesized as mixtures of structurally similar compounds, rather than a single compound. Due to their common structural ...

Identification of Antibacterial Immunity Proteins in Escherichia coli using MALDI-TOF-TOF-MS/MS and Top-Down Proteomic Analysis

This protocol identifies the immunity proteins of the bactericidal enzymes: colicin E3 and bacteriocin, produced by a pathogenic Escherichia coli strain using antibiotic induction, and identified by MALDI-TOF-TOF tandem mass spectrometry and top-down proteomic analysis with software developed in-house. The immunity protein of colicin E3 (Im3) and the immunity protein of bacteriocin (Im-Bac) were identified from prominent b- and/or y-type fragment ions generated by the polypeptide backbone cleavage (PBC) on the C-terminal side of aspartic acid, glutamic acid, and asparagine residues by the aspartic acid effect fragmentation mechanism. The software rapidly scans in silico protein sequences derived from the whole genome sequencing of the bacterial strain. The software also iteratively removes amino acid residues of a protein sequence in the event that the mature protein sequence is truncated. A single protein sequence possessed mass and fragment ions consistent with those detected for each immunity protein. The candidate sequence was then manually inspected to confirm that all detected fragment ions could be assigned. The N-terminal methionine of Im3 was post-translationally removed, whereas Im-Bac had the complete sequence. In addition, we found that only two or three non-complementary fragment ions formed by PBC are necessary to identify the correct protein sequence. Finally, a promoter (SOS box) was identified upstream of the antibacterial and immunity genes in a plasmid genome of the bacterial strain.

Identification of Antibacterial Immunity Proteins in Escherichia coli using MALDI-TOF-TOF-MS/MS and Top-Down Proteomic Analysis

Here we present a protocol for the rapid identification of proteins produced by genomically sequenced pathogenic bacteria using MALDI-TOF-TOF tandem mass spectrometry and top-down proteomic analysis with software developed in-house. Metastable protein ions fragment because of the aspartic acid effect and this specificity is exploited for protein identification.

This protocol identifies the immunity proteins of the bactericidal enzymes: colicin E3 and bacteriocin, produced by a pathogenic Escherichia coli strain ...

Histone Proteomic Analysis and Post-Translational Modification Characterization

Histone Modification Screening using Liquid Chromatography, Trapped Ion Mobility Spectrometry, and Time-Of-Flight Mass Spectrometry

Histone proteins are highly abundant and conserved among eukaryotes and play a large role in gene regulation as a result of structures known as posttranslational modifications (PTMs). Identifying the position and nature of each PTM or pattern of PTMs in reference to external or genetic factors allows this information to be statistically correlated with biological responses such as DNA transcription, replication, or repair. In the present work, a high-throughput analytical protocol for the detection of histone PTMs from biological samples is described. The use of complementary liquid chromatography, trapped ion mobility spectrometry, and time-of-flight mass spectrometry (LC-TIMS-ToF MS/MS) enables the separation and PTM assignment of the most biologically relevant modifications in a single analysis. The described approach takes advantage of recent developments in dependent data acquisition (DDA) using parallel accumulation in the mobility trap, followed by sequential fragmentation and collision-induced dissociation. Histone PTMs are confidently assigned based on their retention time, mobility, and fragmentation pattern.

Author Spotlight: Enhanced Histone PTM Isomer Identification Through LC-TIMS-ToF MS/MS and PASEF

An analytical workflow based on liquid chromatography, trapped ion mobility spectrometry, and time-of-flight mass spectrometry (LC-TIMS-ToF MS/MS) for high confidence and highly reproducible "bottom-up" analysis of histone modifications and identification based on principal parameters (retention time [RT], collision cross section [CCS], and accurate mass-to-charge [m/z] ratio).

Histone proteins are highly abundant and conserved among eukaryotes and play a large role in gene regulation as a result of structures known as ...

LC-TIMS-PASEF-ToF MS/MS Method for Proteolytic Histone Peptide Analysis

Screening Lipid Structures Using Stable Isotope Labeling

Tracing de novo Lipids using Stable Isotope Labeling LC-TIMS-TOF MS/MS

Lipids are highly diverse, and small changes in lipid structures and composition can have profound effects on critical biological functions. Stable isotope labeling (SIL) offers several advantages for the study of lipid distribution, mobilization, and metabolism, as well as de novo lipid synthesis. The successful implementation of the SIL technique requires the removal of interferences from endogenous molecules. In the present work, we describe a high-throughput analytical protocol for the screening of SIL lipids from biological samples; examples will be shown of lipid de novo identification during mosquito ovary development. The use of complementary liquid chromatography trapped ion mobility spectrometry and mass spectrometry allows for the separation and lipids assignment from a single sample in a single scan (&lt;1 h). The described approach takes advantage of recent developments in data-dependent acquisition and data-independent acquisition, using parallel accumulation in the mobility trap followed by sequential fragmentation and collision-induced dissociation. The measurement of SIL at the fatty acid chain level reveals changes in lipid dynamics during the ovary development of mosquitoes. The lipids de novo structures are confidently assigned based on their retention time, mobility, and fragmentation pattern.

Author Spotlight: Quantification of Complex Lipidomic Samples Using Stable Isotope Labeling

Presented here is a method for screening lipid structures through stable isotope labeling by using their retention time, mobility, and fragmentation.

Lipids are highly diverse, and small changes in lipid structures and composition can have profound effects on critical biological functions. Stable ...