Achieving sufficient selectivity in bioanalysis is critical to ensure accurate quantitation of drugs and metabolites in biological matrices. Matrix effects most classically refer to modification of ionization efficiency of an analyte in the presence of matrix components. However, nonanalyte or matrix components present in samples can adversely impact the performance of a bioanalytical method and are broadly considered as matrix effects. For the current manuscript, we expand the scope to include matrix elements that contribute to isobaric interference and measurement bias. These three categories of matrix effects are illustrated with real examples encountered. The causes, symptoms, and suggested strategies and resolutions for each form of matrix effects are discussed. Each case is presented in the format of situation/action/result to facilitate reading.
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http://dx.doi.org/10.4155/bio.13.201 | DOI Listing |
Small Methods
January 2025
School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China.
Improper use of antibiotics has led to the development of antimicrobial resistance, or "superbugs," outpacing the discovery of new antibiotics. The lack of rapid, high-throughput screening methods is a major bottleneck in discovery novel antibiotics. Traditional methods consume significant amounts of samples, making it challenging to discover new antibiotics from limited natural product extracts.
View Article and Find Full Text PDFTheranostics
January 2025
Institute of Translational Medicine, Shanghai University, Shanghai, 200444, China.
Osteoarthritis (OA) is a common joint disease characterized by cartilage degeneration. It can cause severe pain, deformity and even amputation risk. However, existing clinical treatment methods for cartilage repair present certain deficiencies.
View Article and Find Full Text PDFInt J Biol Sci
January 2025
Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.
Accurate diagnosis and assessment of breast cancer treatment responses are critical challenges in clinical practice, influencing patient treatment strategies and ultimately long-term prognosis. Currently, diagnosing breast cancer and evaluating the efficacy of neoadjuvant immunotherapy (NAIT) primarily rely on pathological identification of tumor cell morphology, count, and arrangement. However, when tumors are small, the tumors and tumor beds are difficult to detect; relying solely on tumor cell identification may lead to false negatives.
View Article and Find Full Text PDFInt J Med Sci
January 2025
Department of Medical Laboratory Science, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China.
Investigate the role of the apelin/APLNR axis in metabolic dysfunction-associated steatotic liver disease (MASLD), focusing on the progression from metabolic dysfunction-associated simple steatotic liver (MASS) to metabolic dysfunction-associated steatohepatitis (MASH) and fibrosis, with emphasis on liver B cells. Serum samples from MASLD patients and liver tissues from hepatocellular carcinoma patients were collected to measure apelin and APLNR protein expression. C57BL/6J mouse models of varying MASLD stages were developed using a high-fat diet and CCl.
View Article and Find Full Text PDFmLife
December 2024
State Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic & Developmental Sciences, School of Life Sciences and Biotechnology Shanghai Jiao Tong University Shanghai China.
Optimizing enzyme thermostability is essential for advancements in protein science and industrial applications. Currently, (semi-)rational design and random mutagenesis methods can accurately identify single-point mutations that enhance enzyme thermostability. However, complex epistatic interactions often arise when multiple mutation sites are combined, leading to the complete inactivation of combinatorial mutants.
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