GC/MS/MS Forensic Toxicology Database
Provides a Total Solution for All Processes of Toxicological Analysis
Quick-DB Forensic is a GC/MS/MS database for forensic toxicological analysis that includes information for the sample preparation analysis and data processing of 68 toxicological drug components common in toxicology cases. In combination with the GCMS-TQ series Gas chromatograph - Mass Spectrometer, it provides a total solution for all analytical processes. Due to the simple QuEChERS method used for the sample preparation, even first-time users can pretreat samples easily. In addition to analytical conditions, such as for optimized MRM transitions, the database also includes retention indices, calibration curve information, and other data processing conditions. The database also includes an automatic method creation function (Smart MRM) for creating analytical methods easily. Due to the preexisting calibration curve information, semi-quantitative values can be calculated easily without using standards. Furthermore, it features a performance management function that automatically determines the system status. By using this function, users can quickly identify any areas with low performance to ensure optimized performance throughout the analysis.
Simple-to-Operate Dedicated Software
The dedicated launcher displayed on-screen helps navigate the necessary operations. Therefore, even first-time users can analyze samples easily by simply following the instructions on the launcher. During autotuning or when measuring performance check (negative control) samples, the software automatically uses a performance check function to check the status of the MS, consumable use time, and columns in order to evaluate the overall status of the system.
Navigates Appropriate Pretreatment Steps
Fo r t oxicological a nalysis of w hole blood samples, the extra ction and purification processes have been optimized using the QuEChERS method. Preparing samples is simplified by using t he Sample Prep ara tion navigator to display photographs with instructions for each step of the QuEChERS cleanup process.
Achieve Analysis without Standards
To improve the accuracy of semi-quantitation without a standard, the internal standard that is selected and the recovery rate of sample preparation need to be considered.
For internal standards, the Quick-DB Forensic database uses six types of deuterium-labeled toxicological substances that exhibit the same behavior as registered compounds. By using the calibration curve information from a whole blood sample spiked with a standard and pretreated, the quantitative error due to matrix interference, recovery rates of sample preparation, and other factors, which can have a significant effect on quantitative accuracy, can be reduced and accurate semi-quantitation values can be obtained without using a standard.
Using a Deuterium-Labeled Internal Standard to Correct for Sensitivity Variations
Deuterium-labeled internal standards can also be used to correct for GC-MS/MS sensitivity variations, even if the variations cause the response to target compounds in calibration curves to be different than in a customer's instrument.
Using a Calibration Curve for a Pretreated Sample to Correct for Recovery Rates
By using the calibration curve information from a pretreated sample, accurate quantitative values can be obtained. The calibration curve information is used to correct for differences in recovery rates for each target compound or correct for effects caused by adsorption, which occurs when creating calibration curves using standards.
Smart Scheduling Injects Blanks Automatically
If a high concentration of a target compound is detected in a test sample, carryover within the system may cause doubt about a false positive in the next test sample. If that occurs, the test sample is normally measured again to confirm the results. This may be an impossible task if only small quantity of sample is available and pretreatment must be done.
Therefore, the Quick-DB Forensic database includes a Smart Scheduling function. This function automatically measures a solvent blank if the concentration of a target compound measured in a test sample is higher than a specified value. Smart Scheduling can prevent the risk of carryover causing a false positive.
Automates Time-Consuming Derivatization Processes*
Due to the limited amount of mass spectral information available for phenethylamine drugs, such as methamphetamine, MDA, and MDMA, as well as their tendency for adsorption, they are normally derivatized for measurement. The manual derivatization process requires significant time and can be diffcult and lengthy. In contrast, the Quick-DB Forensic database enables on-column TFA derivatization using MBTFA (N-Methylbis-trifluoroacetamide). The test samples can be automatically TFA-derivatized and measured by simply placing the test samples and derivatizing agent in the autosampler*.
|Product Contents||Quick-DB Forensic launcher program, database files, method files, batch files, report format files, and 2-step AOC control software|
|Applicable Instruments||GC/MSAuto-injectorWorkstation||: GCMS-TQ series: AOC-20i+s: GCMSsolution (Ver. 4.44 or later) + LabSolutions Insight (Ver. 2.0 SP1 or later)|
|Required Parts and Reagents||ColumnPretreatment||: SH-Rxi-5Sil MS 30 m × 0.25 mm I.D., df = 0.25 μm (P/N 221-75954-30): Q-sep QuEChERS extraction salts packet (AOAC 2007.01) (Restek Corporation P/N: 26238): Q-sep QuEChERS cleanup kit (Restek Corporation P/N: 26424)|
|Internal standard substance||
Alprazolam-D5 (SIGMA-ALDRICH, Cat: A-902-1ML)Diazepam-D5 (SIGMA-ALDRICH, Cat:D-902-1ML)Carbamazepine-D10 (SIGMA-ALDRICH, Cat:C-094-1ML)Secobarbital-D5 (SIGMA-ALDRICH, Cat:S-001-1ML)Diazinon-D10 (SIGMA-ALDRICH, Cat:74332-5MG)Phenobarbital-D5 (SIGMA-ALDRICH, Cat:P-018-1ML)1-Methyl-3-phenylpropylamine (SIGMA-ALDRICH, Cat:M70533-25G)
|n-Alkane StandardTFA derivatizing agent||
: C8-C40 Alkanes Calibration Standard (SIGMA-ALDRICH, Cat: 40147-U): MBTFA
In addition, general pretreatment equipment, such as a centrifuge, is also required.
This product was developed jointly with the Department of Legal Medicine & Bioethics, Nagoya University Graduate School of Medicine.