Submitted:
17 April 2023
Posted:
18 April 2023
You are already at the latest version
Abstract
Keywords:
1. Introduction
2. Materials and Methods
2.1. Instrumentation
2.2. Materials
2.3. Chromatographic conditions
2.4. Preparation of standard solutions
2.5. Linear graph and control samples
2.6. Sample processing
2.7. The validation process of innovated strategy
2.7.1. Selectivity
2.7.2. Precision and accuracy of the creative strategy
2.7.3. Standardization and calibration graph
2.7.4. Stability study of DEU
3. Results
3.1. Mass spectrophotometry
3.2. The development of the creative approach
3.3. Chromatography
3.3. Method Validation
3.3.1. Specificity
3.3.2. Linearity
3.3.3. Accuracy and precision
3.3.4. Recovery
3.3.5. Matrix effects
3.3.6. Stability
4. Conclusions
Supplementary Materials
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Khaledian, S.; Abdoli, M.; Fatahian, R.; Zahabi, S. S., Quantum Dots in Cancer Cell Imaging. In Quantum Dots-Recent Advances, New Perspectives and Contemporary Applications, IntechOpen: 2023.
- McHugh, K. J.; Jing, L.; Behrens, A. M.; Jayawardena, S.; Tang, W.; Gao, M.; Langer, R.; Jaklenec, A. Biocompatible semiconductor quantum dots as cancer imaging agents. Adv. Mater. 2018, 30, 1706356. [Google Scholar] [CrossRef] [PubMed]
- Gudjonsson, J.; Johnston, A.; Sigmundsdottir, H.; Valdimarsson, H. Immunopathogenic mechanisms in psoriasis. Clin. Exp. Immunol. 2004, 135, 1–8. [Google Scholar] [CrossRef] [PubMed]
- Brandrup, F.; Holm, N.; Grunnet, N.; Henningsen, K.; Hansen, H. , Psoriasis in monozygotic twins: variations in expression in individuals with identical genetic constitution. Acta Derm. Venereol. 1982, 62, 229–236. [Google Scholar] [CrossRef] [PubMed]
- Chimalakonda, A.; Burke, J.; Cheng, L.; Catlett, I.; Tagen, M.; Zhao, Q.; Patel, A.; Shen, J.; Girgis, I. G.; Banerjee, S. , Selectivity profile of the tyrosine kinase 2 inhibitor deucravacitinib compared with Janus kinase 1/2/3 inhibitors. Dermatology and Therapy 2021, 11, 1763–1776. [Google Scholar] [CrossRef] [PubMed]
- Catlett, I. M.; Aras, U.; Hansen, L.; Liu, Y.; Bei, D.; Girgis, I. G.; Murthy, B. , First-in-human study of deucravacitinib: A selective, potent, allosteric small-molecule inhibitor of tyrosine kinase 2. Clin. Transl. Sci. 2023, 16, 151–164. [Google Scholar] [CrossRef] [PubMed]
- Catlett, I. M.; Hu, Y.; Gao, L.; Banerjee, S.; Gordon, K.; Krueger, J. G. , Molecular and clinical effects of selective tyrosine kinase 2 inhibition with deucravacitinib in psoriasis. J. Allergy Clin. Immunol. 2022, 149, 2010–2020. [Google Scholar] [CrossRef] [PubMed]
- Lé, A. M.; Puig, L.; Torres, T. , Deucravacitinib for the treatment of psoriatic disease. Am. J. Clin. Dermatol. 2022, 23, 813–822. [Google Scholar] [CrossRef] [PubMed]
- Putnam, W. C.; Kallem, R. R.; Subramaniyan, I.; Beg, M. S.; Edpuganti, V. , Bioanalytical method development and validation of a liquid chromatography-tandem mass spectrometry method for determination of β-lapachone in human plasma. Journal of Pharmaceutical and Biomedical Analysis 2020, 188, 113466. [Google Scholar] [CrossRef]
- El-Zaher, A. A.; Hashem, H. A.; Elkady, E. F.; Allam, M. A. , A validated LC-MS/MS bioanalytical method for the simultaneous determination of dapagliflozin or saxagliptin with metformin in human plasma. Microchem. J. 2019, 149, 104017. [Google Scholar] [CrossRef]
- Zimmer, D. , New US FDA draft guidance on bioanalytical method validation versus current FDA and EMA guidelines: chromatographic methods and ISR. Bioanalysis 2014, 6, 13–19. [Google Scholar] [CrossRef] [PubMed]
- Salman, B. I. , A Novel Design Eco-friendly Microwave-assisted Cu–N@ CQDs Sensor for the Quantification of Eravacycline via Spectrofluorimetric Method; Application to Greenness Assessments, Dosage Form and Biological Samples. Journal of Fluorescence 2023, 1–10. [Google Scholar] [CrossRef] [PubMed]
- Chae, Y.-J.; Song, Y.-K.; Chae, S.-H.; Kim, M. J.; Kang, J. S.; Lee, J.-Y.; Koo, T.-S.; Lee, K.-R. , Development and validation of an LC-MS/MS method for monitoring larotrectinib, a tropomyosin-related kinase inhibitor, in mouse and human plasma and application to pharmacokinetic studies. Journal of Analytical Science and Technology 2020, 11, 1–9. [Google Scholar] [CrossRef]
- United States pharmacopoeia USP 43- NF 38. United States Pharmacopeia: 2021.



| Name | Q1 Mass (amu) |
Q3 Mass (amu) |
Dwell (ms) |
DP (V) |
EP (V) |
CE (V) |
CXP (V) |
|---|---|---|---|---|---|---|---|
| Deucravacitinib | 426.8 | 358.6 | 200 | 110 | 10 | 32 | 10.30 |
| Trimethoprim | 291.1 | 261.1 | 200 | 110 | 10 | 32 | 10.30 |
| CUR (psi) | CAD (psi) | Ion Spray Voltage (V) | TEM (oC) | GAS 1 (psi) | GAS 2(psi) | Scan Type | Polarity |
| 20 | 10 | 5500 | 500 | 40 | 40 | MRM | Positive |
| Parameter | |
| Column: | ACE C18 (100 x 4.6 mm, 5µ) |
| Pump mode: | Isocratic |
| Column temperature: | Ambient |
| Flow rate: | 0.9 mL min-1 |
| Injection volume: | 5.0 µL |
| Run time: | 3.0 min. |
| Detector: | Tandem mass spectrometry (MRM mode) |
| Mobile phase: | Methanol: 2mM ammonium formate (80:20, v/v) |
| CC STD ID | Nominal conc. (ng mL-1) | Calculated conc. (ng mL-1) |
|---|---|---|
| STD1 | 0.500 | 0.488 |
| STD2 | 1.001 | 1.082 |
| STD3 | 2.502 | 2.271 |
| STD4 | 10.007 | 10.447 |
| STD5 | 50.037 | 43.694 |
| STD6 | 200.150 | 264.329 |
| STD7 | 540.945 | 468.146 |
| STD8 | 601.050 | 687.353 |
| Slope | 0.0362 | |
| Intercept | 0.000404 | |
| Correlation Coefficient (r2) | 0.9941 | |
| QC ID | LLOQ QC Observed Conc. (ng/mL) | LLOQ QC area (A) | Analyte Area of STD 0 (B) | Sensitivity (A/B) |
|---|---|---|---|---|
| 1 | 0.522 | 5253 | 280 | 18.8 |
| 2 | 0.459 | 4918 | 17.6 | |
| 3 | 0.491 | 5145 | 18.4 | |
| 4 | 0.541 | 5436 | 19.4 | |
| 5 | 0.445 | 4891 | 17.5 | |
| 6 | 0.424 | 4406 | 15.7 | |
| Mean | 0.4803 | |||
| SD ± | 0.04562 | |||
| %CV | 9.5 | |||
| % Nominal | 96.07 | |||
| QC sample | LQC | MQC | HQC |
|---|---|---|---|
| Nominal Concentration (ng mL-1) | 1.444 | 240.733 | 456.798 |
| Calculated Concentration (ng mL-1) | 1.680 | 269.553 | 422.149 |
| 1.432 | 258.085 | 438.661 | |
| 1.617 | 265.263 | 430.371 | |
| 1.558 | 266.167 | 440.982 | |
| 1.540 | 262.085 | 468.070 | |
| 1.542 | 247.302 | 430.456 | |
| Mean | 1.5615 | 261.4092 | 438.4482 |
| SD (±) | 0.08336 | 7.92881 | 15.99185 |
| C.V.(%) | 5.34 | 3.03 | 3.65 |
| % Nominal | 108.14 | 108.59 | 95.98 |
| n | 6 | 6 | 6 |
| At LQC Level | |||||||
|---|---|---|---|---|---|---|---|
| QC ID | Area of Analyte | Area of Internal Standard | Matrix Factor | IS Normalization Matrix Factor (X/Y) | |||
| AQ (A) | POST EX (B) | AQ (C) | POST EX (D) | Analyte (X)= (B/Mean of A) | IS (Y) = (D/Mean of C) | ||
| LQC1 | 40913 | 37598 | 4264110 | 3971469 | 0.94 | 0.94 | 1.00 |
| LQC2 | 40534 | 36650 | 4270446 | 3721287 | 0.92 | 0.88 | 1.04 |
| LQC3 | 37649 | 37803 | 4085748 | 3944473 | 0.94 | 0.93 | 1.01 |
| LQC4 | 39934 | 36824 | 4257636 | 4072739 | 0.92 | 0.96 | 0.96 |
| LQC5 | 40730 | 37854 | 4282973 | 4132175 | 0.95 | 0.98 | 0.97 |
| LQC6 | 40474 | 39209 | 4254969 | 4192628 | 0.98 | 0.99 | 0.99 |
| Mean | 40039.0 | 4235980.3 | |||||
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