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Cited by CrossRef (24)

  1. Feifei Sun, Yanshen Li, Haiguang Tan, Peixu Wu, Yingnan Shencheng, Haopeng Lin, Peng Lu, Rong Zhang, Shuyan Liu, Yi Li, Shupeng Yang. Integrating a Multiple Isotopologue Reaction-Monitoring Technique and LC-MS/MS for Quantitation of Small Molecules: Ten Mycotoxins in Cereals as an Example. J. Agric. Food Chem. 2024;72:6638
    https://doi.org/10.1021/acs.jafc.3c08828
  2. Marco Vincenti. Perspectives and Challenges of Hair Analysis. 2024.
    https://doi.org/10.1039/BK9781837671946-00147
  3. Michael Allwright, Boris Guennewig, Anna E. Hoffmann, Cathrin Rohleder, Beverly Jieu, Long H. Chung, Yingxin C. Jiang, Bruno F. Lemos Wimmer, Yanfei Qi, Anthony S. Don, F. Markus Leweke, Timothy A. Couttas. ReTimeML: a retention time predictor that supports the LC–MS/MS analysis of sphingolipids. Sci Rep 2024;14
    https://doi.org/10.1038/s41598-024-53860-0
  4. Hae-In Choi, Taeheon Kim, Jin Woo Kim, Gi Ju Lee, Jinyoung Choi, Yoon-Jee Chae, Eunhee Kim, Tae-Sung Koo. Rat Pharmacokinetics and In Vitro Metabolite Identification of KM-819, a Parkinson’s Disease Candidate, Using LC-MS/MS and LC-HRMS. Molecules 2024;29:1004
    https://doi.org/10.3390/molecules29051004
  5. Eleonora Camilleri, Mirjam Kruijt, Paul L. den Exter, Suzanne C. Cannegieter, Nienke van Rein, Christa M. Cobbaert, Bart J.M. van Vlijmen, L. Renee Ruhaak. Quantitative protein mass spectrometry for multiplex measurement of coagulation and fibrinolytic proteins towards clinical application: What, why and how?. Thrombosis Research 2024;241:109090
    https://doi.org/10.1016/j.thromres.2024.109090
  6. Sung-Eun Cho, Jungsun Han, Juyoung You, Jun Hyung Lee, Ahram Yi, Sang Gon Lee, Eun Hee Lee. Development and Validation of a Novel Isotope Dilution-Ultraperformance Liquid Chromatography-Tandem Mass Spectrometry Method for Serum C-Peptide. Ann Lab Med 2025;45:62
    https://doi.org/10.3343/alm.2024.0072
  7. Gioele Visconti, Julien Boccard, Max Feinberg, Serge Rudaz. From fundamentals in calibration to modern methodologies: A tutorial for small molecules quantification in liquid chromatography–mass spectrometry bioanalysis. Analytica Chimica Acta 2023;1240:340711
    https://doi.org/10.1016/j.aca.2022.340711
  8. Hongxu Li, Qiaomei Wang, Houqiao Wang, Limei Li, Xinghua Wang, Tianyu Wu, Chun Wang, Ye Qian, Xiaohua Wang, Yuxin Xia, Jin Xie, Wenxia Yuan, Baijuan Wang. LCLN-CA: A Survival Regression Analysis-Based Prediction Method for Catechin Content in Yunnan Sun-Dried Tea. Horticulturae 2024;10:1321
    https://doi.org/10.3390/horticulturae10121321
  9. Qiao Zhou, Jian Liu, Ling Xin, Yanyan Fang, Yuedi Hu, Yajun Qi, Mingyu He, Dahai Fang, Xiaolu Chen, Chengzhi Cong. Association between traditional Chinese Medicine and osteoarthritis outcome: A 5-year matched cohort study. Heliyon 2024;10:e26289
    https://doi.org/10.1016/j.heliyon.2024.e26289
  10. Ahrum Son, Woojin Kim, Jongham Park, Yongho Park, Wonseok Lee, Sangwoon Lee, Hyunsoo Kim. Mass Spectrometry Advancements and Applications for Biomarker Discovery, Diagnostic Innovations, and Personalized Medicine. IJMS 2024;25:9880
    https://doi.org/10.3390/ijms25189880
  11. Xue Li Guan, Dorothy Pei Shan Chang, Zhen Xuan Mok, Bernett Lee. Assessing variations in manual pipetting: An under-investigated requirement of good laboratory practice. Journal of Mass Spectrometry and Advances in the Clinical Lab 2023;30:25
    https://doi.org/10.1016/j.jmsacl.2023.09.001
  12. Lianwei Shen, Xiaoqian Xu, Shouwei Yue, Sen Yin. A predictive model for depression in Chinese middle-aged and elderly people with physical disabilities. BMC Psychiatry 2024;24
    https://doi.org/10.1186/s12888-024-05766-4
  13. Matthew L. Crawford, Christopher M. Shuford, Russell P. Grant. The pipetting Olympics: Propagating proper pipetting a priori in clinical LC-MS/MS analysis. Journal of Mass Spectrometry and Advances in the Clinical Lab 2023;29:16
    https://doi.org/10.1016/j.jmsacl.2023.06.002
  14. Chun Yee Lim, Shin Ow Yang, Corey Markus, Tze Ping Loh. Calibration frequency and analytical variability of laboratory measurements. Clinica Chimica Acta 2023;539:87
    https://doi.org/10.1016/j.cca.2022.12.006
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    https://doi.org/
  16. Wan Ling Cheng, Hui Qi Low, Suru Chew, Chun Yee Lim, Tze Ping Loh. Relationship between analytical imprecision and coefficient of determination (R2) of the calibration curve. Clinical Biochemistry 2024;133-134:110833
    https://doi.org/10.1016/j.clinbiochem.2024.110833
  17. Yan Hong, Xinrong Chen, Hangtao Yuan, Zixuan Huang, Shaohong Tao, Fang Xie, Weining Xie. Novel non-HDLc/HDLc ratio for predicting MASLD: a cross-sectional study in a Chinese health screening population. BMC Gastroenterol 2024;24
    https://doi.org/10.1186/s12876-024-03525-z
  18. Ruth Rodríguez-Ramos, Álvaro Santana-Mayor, Antonio V. Herrera-Herrera, Bárbara Socas-Rodríguez, Miguel Ángel Rodríguez-Delgado. Evaluation of pesticide residues in rice marketed in Cape Verde by QuEChERS-LC/GC-MS analysis. Microchemical Journal 2024;202:110795
    https://doi.org/10.1016/j.microc.2024.110795
  19. Rui Zhang. Probing Liquid Chromatography–Tandem Mass Spectrometry Response Dynamics and Nonlinear Effects for Response Level Defined Calibration Strategies with Simple Methods To Expand Linear Dynamic Ranges. ACS Omega 2024;9:607
    https://doi.org/10.1021/acsomega.3c06190
  20. Chun Yee Lim, Jermyn Jit Siong Lee, Kay Weng Choy, Tony Badrick, Corey Markus, Tze Ping Loh. Between and within calibration variation: implications for internal quality control rules. Pathology 2023;55:525
    https://doi.org/10.1016/j.pathol.2022.11.013
  21. Muhammad K. Hakeem, Meera Maraqa, Sampath K. Elangovan, Esam Eldin Saeed, Ajay Kumar Mishra, Khaled M. Hazzouri, Iltaf Shah, Khaled M. A. Amiri. Innovative determination of phytohormones in Aloe vera. Front. Chem. 2025;12
    https://doi.org/10.3389/fchem.2024.1490639
  22. Jee Ah Kim, Jong Kyun Lee, Soo-Youn Lee. Serum trace elements during treatment in pancreatic cancer patients and their associations with cancer prognosis. Clinical Nutrition 2024;43:1459
    https://doi.org/10.1016/j.clnu.2024.04.012
  23. Matteo Corana, Giacomo Baima, Giovanni Iaderosa, Francesco Franco, Jianjian Zhang, Giovanni Nicolao Berta, Federica Romano, Mario Aimetti. Salivary Proteomics for Detecting Novel Biomarkers of Periodontitis: A Systematic Review. J of Periodontal Research 2024
    https://doi.org/10.1111/jre.13357
  24. Dimitrios Tsikas, Bibiana Beckmann. Quality Control in Targeted GC-MS for Amino Acid-OMICS. Metabolites 2023;13:986
    https://doi.org/10.3390/metabo13090986