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Journal articles on the topic 'Bioanalytical methods'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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1

Woltman, Steven J. "Bioanalytical methods." TrAC Trends in Analytical Chemistry 15, no. 5 (May 1996): VI. http://dx.doi.org/10.1016/0165-9936(96)80634-0.

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2

Skrzydlewska, Elżbieta. "Bioanalytical Methods in Toxicology." Toxicology Mechanisms and Methods 18, no. 6 (January 2008): 453. http://dx.doi.org/10.1080/15376510802156655.

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3

Hartmann, C., J. Smeyers-Verbeke, D. L. Massart, and R. D. McDowall. "Validation of bioanalytical chromatographic methods." Journal of Pharmaceutical and Biomedical Analysis 17, no. 2 (June 1998): 193–218. http://dx.doi.org/10.1016/s0731-7085(97)00198-2.

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4

Van Emon, Jeanette M. "Bioanalytical Methods for Food Contaminant Analysis." Journal of AOAC INTERNATIONAL 93, no. 6 (November 1, 2010): 1681–91. http://dx.doi.org/10.1093/jaoac/93.6.1681.

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Abstract Foods are complex mixtures of lipids, carbohydrates, proteins, vitamins, organic compounds, and other naturally occurring substances. Sometimes added to this mixture are residues of pesticides, veterinary and human drugs, microbial toxins, preservatives, contaminants from food processing and packaging, and other residues. This milieu of compounds can pose difficulties in the analysis of food contaminants. There is an expanding need for rapid and cost-effective residue methods for difficult food matrixes to safeguard our food supply. Bioanalytical methods are established for many food contaminants such as mycotoxins and are the method of choice for many food allergens. Bioanalytical methods are often more cost-effective and sensitive than instrumental procedures. Recent developments in bioanalytical methods may provide more applications for their use in food analysis.
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5

Labuda, Ján, Richard P. Bowater, Miroslav Fojta, Günter Gauglitz, Zdeněk Glatz, Ivan Hapala, Jan Havliš, et al. "Terminology of bioanalytical methods (IUPAC Recommendations 2018)." Pure and Applied Chemistry 90, no. 7 (July 26, 2018): 1121–98. http://dx.doi.org/10.1515/pac-2016-1120.

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AbstractRecommendations are given concerning the terminology of methods of bioanalytical chemistry. With respect to dynamic development particularly in the analysis and investigation of biomacromolecules, terms related to bioanalytical samples, enzymatic methods, immunoanalytical methods, methods used in genomics and nucleic acid analysis, proteomics, metabolomics, glycomics, lipidomics, and biomolecules interaction studies are introduced.
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6

Gleason, Carol R., Qin C. Ji, and Enaksha R. Wickremsinhe. "Evaluation of correlation between bioanalytical methods." Bioanalysis 12, no. 6 (March 2020): 419–26. http://dx.doi.org/10.4155/bio-2020-0019.

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Bioanalytical methods evolve throughout clinical development timelines, resulting in the need for establishing equivalency or correlation between different methods to enable comparison of data across different studies. This is accomplished by the conduct of cross validations and correlative studies to compare and describe the relationship. The incurred sample reanalysis acceptance criterion seems to be adopted universally for cross validations and correlative studies; however, this does not identify any trends or biases between the two methods (datasets) being compared. Presented here are graphing approaches suitable for comparing two methods and describing equivalence or correlation. This article aims to generate awareness on graphing techniques that can be adopted during cross validations and correlative studies.
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7

Heudi, Olivier. "Green bioanalytical methods are now a reality." Bioanalysis 4, no. 11 (June 2012): 1257. http://dx.doi.org/10.4155/bio.12.112.

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8

Wong, Yong Foo, Constanze Hartmann, and Philip J Marriott. "Multidimensional gas chromatography methods for bioanalytical research." Bioanalysis 6, no. 18 (September 2014): 2461–79. http://dx.doi.org/10.4155/bio.14.186.

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9

Babington, Ruth, Sonia Matas, M. Pilar Marco, and Roger Galve. "Current bioanalytical methods for detection of penicillins." Analytical and Bioanalytical Chemistry 403, no. 6 (April 10, 2012): 1549–66. http://dx.doi.org/10.1007/s00216-012-5960-4.

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10

TSUYAMA, Naohiro. "Visualization of Radiation Dose by Bioanalytical Methods." BUNSEKI KAGAKU 63, no. 6 (2014): 445–53. http://dx.doi.org/10.2116/bunsekikagaku.63.445.

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11

Jaiswal, Y. S., N. D. Grampurohit, and S. B. Bari. "Recent Trends in Validation of Bioanalytical Methods." Analytical Letters 40, no. 13 (October 2007): 2497–505. http://dx.doi.org/10.1080/00032710701585628.

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12

Gilbert, Mary T., Irina Barinov-Colligon, and Joy R. Miksic. "Cross-validation of bioanalytical methods between laboratories." Journal of Pharmaceutical and Biomedical Analysis 13, no. 4-5 (April 1995): 385–94. http://dx.doi.org/10.1016/0731-7085(95)01310-h.

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13

Braggio, S., R. J. Barnaby, P. Grossi, and M. Cugola. "A strategy for validation of bioanalytical methods." Journal of Pharmaceutical and Biomedical Analysis 14, no. 4 (February 1996): 375–88. http://dx.doi.org/10.1016/0731-7085(95)01644-9.

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14

Jordan, Gregor, and Roland F. Staack. "Toward comparability of anti-drug antibody assays: is the amount of anti-drug antibody–reagent complexes at cut-point (CP-ARC) the missing piece?" Bioanalysis 12, no. 14 (July 2020): 1021–31. http://dx.doi.org/10.4155/bio-2020-0143.

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Immunogenicity testing is a mandatory and critical activity during the development of therapeutic proteins. Multiple regulatory guidelines provide clear recommendations on appropriate immunogenicity testing strategies and required bioanalytical assay performances. Unfortunately, it is still generally accepted that a comparison of the immunogenicity of different compounds is not possible due to apparent performance differences of the used bioanalytical methods. In this perspective, we propose the ‘cut-point anti-drug antibody–reagents complex’ (CP-ARC) concept for technical comparability of the bioanalytical methods. The feasibility and implementation in routine assay development is discussed as well as the potential improvement of reporting of bioanalytical immunogenicity data to allow comparison across drugs. Scientific sound comparability of the bioanalytical methods is the first step toward comparability of clinical immunogenicity.
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15

Blaškovičová, Jana, and Ján Labuda. "Analytical methods in herpesvirus genomics." Acta Chimica Slovaca 7, no. 2 (October 1, 2014): 109–18. http://dx.doi.org/10.2478/acs-2014-0019.

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Abstract Genomics is a branch of bioanalytical chemistry characterized as the study of the genome structure and function. Genome represents the complete set of chromosomal and extrachromosomal genes of an organism, a cell, an organelle or a virus. There are at least five from eight species of herpesviruses commonly widespread among humans, Herpes simplex virus type 1 and 2, Varicella zoster virus, Epstein-Barr virus and Cytomegalovirus. Human gammaherpesviruses can cause serious diseases including B-cell lymphoma and Kaposi’s sarcoma. Diagnostics and study of the herpesviruses is directly dependent on the development of modern analytical methods able to detect and determine the presence and evolution of herpesviral particles/ genomes. Diagnostics and genomic characterization of human herpesvirus species is based on bioanalytical methods such as polymerase chain reaction (PCR), DNA sequencing, gel electrophoresis, blotting and others. The progress in analytical approaches in the herpesvirus genomics is reviewed in this article.
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16

Bairagee, Deepika. "Liquid Chromatographic Methods for Anti-tubercular Agents: An Overview." International Journal of PharmTech Research 13, no. 1 (2020): 26–36. http://dx.doi.org/10.20902/ijptr.2019.130104.

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The aim of this review is to summarise the different analytical and bioanalytical methods used to determine the concentration of anti-tubercular agents from last few years. As we know that tuberculosis is a life threatening disease and second to HIV in terms of deaths due to infectious diseases. Drug resistance development of the first-line drugs is a most important concern in the cure of this disease. There is no comprehensive and critical review in the literature for the analytical and bioanalytical methods for the determination of ant-tubercular agents from last few years. So this work provides the detailed account on the chromatographic methods reported in the literature for the estimation of various ant-tubercular drugs.
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17

Rebe Raz, Sabina, and Willem Haasnoot. "Multiplex bioanalytical methods for food and environmental monitoring." TrAC Trends in Analytical Chemistry 30, no. 9 (October 2011): 1526–37. http://dx.doi.org/10.1016/j.trac.2011.04.016.

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18

Zhang, Guodong, Alvin V. Terry Jr, and Michael G. Bartlett. "Bioanalytical methods for the determination of antipsychotic drugs." Biomedical Chromatography 22, no. 7 (July 2008): 671–87. http://dx.doi.org/10.1002/bmc.997.

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19

Dell, D., B. Lausecker, G. Hopfgartner, P. L. M. van Giersbergen, and J. Dingemanse. "Evolving bioanalytical methods for the cardiovascular drug bosentan." Chromatographia 55, S1 (January 2002): S115—S119. http://dx.doi.org/10.1007/bf02493366.

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20

Zhang, Shouxiang, David W. Greening, and Yuning Hong. "Correction: Recent advances in bioanalytical methods to measure proteome stability in cells." Analyst 146, no. 7 (2021): 2400. http://dx.doi.org/10.1039/d1an90022f.

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21

Zhang, Shouxiang, David W. Greening, and Yuning Hong. "Recent advances in bioanalytical methods to measure proteome stability in cells." Analyst 146, no. 7 (2021): 2097–109. http://dx.doi.org/10.1039/d0an01547d.

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This review summarizes recent bioanalytical methods for measuring and profiling protein stability in cells on a proteome-wide scale, which can provide insights for proteostasis and associated diseases.
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22

Wieling, J., J. Hempenius, H. J. Jeuring, J. H. G. Jonkman, P. M. J. Coenegracht, and D. A. Doornbos. "Development of a laboratory robotic system for automated bioanalytical methods — II. A robot computer program for guarding totally automated bioanalytical methods." Journal of Pharmaceutical and Biomedical Analysis 8, no. 7 (1990): 577–82. http://dx.doi.org/10.1016/0731-7085(90)80083-2.

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23

Ali, Mohsin, Muhammad Usman, Huma Rasheed, Georg Hempel, Hafiz A. Nawaz, Muhammad Hanif, Fawad Rasool, and Mohammad Saleem. "A systematic review on chromatography-based method validation for quantification of vancomycin in biological matrices." Bioanalysis 12, no. 24 (December 2020): 1767–86. http://dx.doi.org/10.4155/bio-2020-0230.

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A fully validated bioanalytical methods are prerequisite for pharmacokinetic and bioequivalence studies as well as for therapeutic drug monitoring. Due to high pharmacokinetic variability and narrow therapeutic index, vancomycin requires reliable quantification methods for therapeutic drug monitoring. To identify published chromatographic based bioanalytical methods for vancomycin in current systematic review, PubMed and ScienceDirect databases were searched. The selected records were evaluated against the method validation criteria derived from international guidelines for critical assessment. The major deficiencies were identified in method validation parameters specifically for accuracy, precision and number of calibration and validation standards, which compromised the reliability of the validated bioanalytical methods. The systematic review enacts to adapt the recommended international guidelines for suggested validation parameters to make bioanalysis reliable.
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24

Horvai, G. "Teaching bioanalytical methods in a BSc analytical chemistry course." Analytical and Bioanalytical Chemistry 404, no. 1 (May 24, 2012): 1–3. http://dx.doi.org/10.1007/s00216-012-6081-9.

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25

Sherry, James. "Environmental immunoassays and other bioanalytical methods: overview and update." Chemosphere 34, no. 5-7 (March 1997): 1011–25. http://dx.doi.org/10.1016/s0045-6535(97)00403-7.

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26

Shah, Vinod P. "The history of bioanalytical method validation and regulation: Evolution of a guidance document on bioanalytical methods validation." AAPS Journal 9, no. 1 (March 2007): E43—E47. http://dx.doi.org/10.1208/aapsj0901005.

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27

Rahimpour, Elaheh, Sima Alvani-Alamdari, and Abolghasem Jouyban. "A Comprehensive Review on Developed Pharmaceutical Analysis Methods by Iranian Analysts in 2018." Pharmaceutical Sciences 26, no. 2 (June 27, 2020): 107–32. http://dx.doi.org/10.34172/ps.2020.10.

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This article summarizes the publishing activities including bioanalytical and pharmaceutical analyses researches carried out in Iran in 2018 in order to connect academic researchers to those in industry, medical care units and hospitals. A wide spectrum of analytical methods has been used to determine and/or evaluate drug levels in the biological samples, based on physical, chemical and biochemical principles. We have compiled a concise survey of the literature covering 125 reports and tabulated the relevant analytical parameters. Chromatographic and electrochemical methods were found to be the technique of choice for many workers and almost 83% studies were performed by using these methods. This is the first annual review of the literature searching in SCOPUS database for published bioanalytical and pharmaceutical analysis researches in Iran.
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28

Mujewar, Imran N., Omprakash G. Bhusnure, Sneha R. Jagtap, Sachin B. Gholve, Padmaja S. Giram, and Atul B. Savangikar. "A Review on Bioanalytical Method Development and Various Validation Stages Involved In Method Development Using RP- HPLC." Journal of Drug Delivery and Therapeutics 9, no. 4-s (August 25, 2019): 789–95. http://dx.doi.org/10.22270/jddt.v9i4-s.3422.

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Bioanalysis is an essential part in drug discovery and development. Bioanalysis is related to the analysis of analytes (drugs, metabolites, biomarkers) in biological samples and it involves several steps from sample collection to sample analysis and data reporting. The first step is sample collection from clinical or preclinical studies; then sending the samples to laboratory for analysis. Second step is sample preparation and it is very important step in bioanalysis. In order to reach reliable results, a robust and stable sample preparation method should be applied. The role of sample preparation is to remove interferences from sample matrix and improve analytical system performance. Sample preparation is often labour intensive and time consuming. This guideline defines key elements necessary for the validation of bioanalytical methods. The guideline focuses on the validation of the bioanalytical methods generating quantitative concentration data used for pharmacokinetic and toxicokinetic parameter determinations. Guidance and criteria are given on the application of these validated methods in the routine analysis of study samples from animal and human studies. Measurement of drug concentrations in biological matrices (such as serum, plasma, blood, urine, and saliva) is an important aspect of medicinal product development. It is therefore paramount that the applied bioanalytical methods used are well characterised, fully validated and documented to a satisfactory standard in order to yield reliable results. This review provides an overview of bioanalytical method development and validation and main principles of method validation stages discussed. Keywords: Bioanalysis, Sample Preparation, Bioanalytical Method Development and Validation
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29

Ramanathan, Lakshmi, and Helen Shen. "LC–TOF–MS methods to quantify siRNAs and major metabolite in plasma, urine and tissues." Bioanalysis 11, no. 21 (November 2019): 1983–92. http://dx.doi.org/10.4155/bio-2019-0134.

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There are a few different bioanalytical approaches that have been used for the quantification of siRNA in biological matrices, such as S1 nuclease protection ‘cutting ELISA’, fluorescent probe hybridization HPLC, HPLC UV, LC–MS/high-resolution accurate-mass (HRAM) and LC–MS/MS. We have developed and validated plasma assays for several oligonucleotides such as GalNAc-conjugated siRNA, using uHPLC and high-resolution mass spectrometer by TOF detection. Although the molecular weights are in the range of 7000–9000, we were able to meet the same assay acceptance criteria as for the small molecules based on regulatory bioanalytical method validation guidance. The antisense strand and the sense strand can both be monitored. The method was also used in the tissue lysate matrices without a full validation.
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30

Fachi, Mariana Millan, Letícia Paula Leonart, Flávia Lada Degaut Pontes, Raquel de Oliveira Vilhena, Letícia Bonancio Cerqueira, and Roberto Pontarolo. "Bioanalytical methods for the detection of antidiabetic drugs: a review." Bioanalysis 9, no. 24 (December 2017): 2015–25. http://dx.doi.org/10.4155/bio-2017-0182.

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31

Vazvaei, Faye, and Jeffrey X. Duggan. "Validation of LC–MS/MS bioanalytical methods for protein therapeutics." Bioanalysis 6, no. 13 (July 2014): 1739–42. http://dx.doi.org/10.4155/bio.14.125.

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32

Giorgianni, Francesco, Diwa Koirala, and Sarka Beranova-Giorgianni. "Proteomics of the human pituitary tissue: bioanalytical methods and applications." Bioanalysis 6, no. 14 (July 2014): 1989–2003. http://dx.doi.org/10.4155/bio.14.132.

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33

Rozet, E., R. D. Marini, E. Ziemons, B. Boulanger, and Ph Hubert. "Advances in validation, risk and uncertainty assessment of bioanalytical methods." Journal of Pharmaceutical and Biomedical Analysis 55, no. 4 (June 2011): 848–58. http://dx.doi.org/10.1016/j.jpba.2010.12.018.

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34

Zhang, Run, Bo Song, and Jingli Yuan. "Bioanalytical methods for hypochlorous acid detection: Recent advances and challenges." TrAC Trends in Analytical Chemistry 99 (February 2018): 1–33. http://dx.doi.org/10.1016/j.trac.2017.11.015.

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35

Kole, Prashant Laxman, Gantala Venkatesh, Jignesh Kotecha, and Ravi Sheshala. "Recent advances in sample preparation techniques for effective bioanalytical methods." Biomedical Chromatography 25, no. 1-2 (December 10, 2010): 199–217. http://dx.doi.org/10.1002/bmc.1560.

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36

Sundaram, T. K. "Bioanalytical applications of enzymes (methods of biochemical analysis, vol. 36)." FEBS Letters 323, no. 3 (June 1, 1993): 297. http://dx.doi.org/10.1016/0014-5793(93)81365-7.

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37

Hill, H. M. "Bioanalytical methods validation: A critique of the proposed FDA guidance." Chromatographia 52, S1 (January 2000): S65—S69. http://dx.doi.org/10.1007/bf02493126.

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38

Makowski, Nina, Agnes M. Ciplea, Mohsin Ali, Ilja Burdman, Anke Bartel, and Bjoern B. Burckhardt. "A comprehensive quality control system suitable for academic research: application in a pediatric study." Bioanalysis 12, no. 5 (March 2020): 319–33. http://dx.doi.org/10.4155/bio-2019-0242.

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Aim: Clinical research in pediatrics is progressively initiated by academia. As the reliability of pharmacodynamic measures is closely linked to the quality of bioanalytical data, bioanalytical quality assurance is crucial. However, clear guidance on comprehensive bioanalytical quality monitoring in the academic environment is lacking. Methods & results: By applying regulatory guidelines, international recommendations and scientific discussions, a five-step quality control system for monitoring the bioanalysis of aldosterone by immunoassay was developed. It comprised performance qualification, calibration curve evaluation, analysis of the intra- and inter-run performance via quality control samples, incurred sample reanalysis and external quality assessment by interlaboratory testing. A total of 55 out of 70 runs were qualified for the quantification of aldosterone in the study sample enabling the evaluation of 954 pediatric samples and demonstrating reliability over the 29-month bioanalysis period. Conclusion: The bioanalytical quality control system successfully monitored the aldosterone assay performance and proved its applicability in the academic environment.
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39

Wickremsinhe, Enaksha R., and Lisa B. Lee. "Quantification of abemaciclib and metabolites: evolution of bioanalytical methods supporting a novel oncolytic agent." Bioanalysis 13, no. 9 (May 2021): 711–24. http://dx.doi.org/10.4155/bio-2021-0039.

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Aim: Bioanalytical methods undergo many revisions and modifications throughout drug development to meet the objectives of the study and development program. Results: Validated LC–MS/MS methodology used to quantify abemaciclib and four metabolites in human plasma is described. The method, initially validated to support the first-in-human study, was successfully modified to include additional metabolites as in vitro and in vivo information about the activity and abundance of human metabolites became available. Consistent performance of the method over time was demonstrated by an incurred sample reanalysis passing rate exceeding 95%, across clinical studies. An overview of the numerous methods involved during the development of abemaciclib, including the quantification of drugs evaluated as combination regimens and used as substrates during drug–drug interaction studies, is presented. Conclusion: Robust bioanalytical methods need to be designed with the flexibility required to support the evolving study objectives associated with registration and post-registration trials.
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40

Haulenbeek, Jonathan, and Christopher J. Beaver. "The impact of ligand binding based assays critical reagent characterization and storage." Bioanalysis 13, no. 10 (May 2021): 797–805. http://dx.doi.org/10.4155/bio-2020-0288.

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Biological critical reagents are the foundation of many bioanalytical methods and often chemically modified or conjugated with various chemical tags. As such, the quality and performance of these methods are inherently tied to the quality and stability of critical reagents. This article will outline recommendations for conjugated critical reagent development and characterization. Examples of the impact of regent quality will be discussed for the two common bioanalytical assays in support of drug development for biotherapeutics. Finally, a brief discussion of conjugated reagent stability and recommendations for storage and testing will be presented.
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41

Hackel, Dana T., Theingi M. Thway, Shiew Mei Huang, and Yow-Ming C. Wang. "A survey of pharmacokinetic bioanalytical methods in biosimilar biological license applications for the assessment of target and antidrug antibody effects." Bioanalysis 13, no. 17 (September 2021): 1323–32. http://dx.doi.org/10.4155/bio-2021-0116.

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The presence of circulating targets and antidrug antibodies can influence the ability of a bioanalytical method to measure therapeutic protein (TP) concentration relevant to exposure-response evaluations. This project surveyed biosimilar submissions for their bioanalytical methods. Survey results revealed that 97% of pharmacokinetic methods designed to measure theoretically free or partial-free TPs with respect to target indeed measured free or partial-free TPs when considering experimental testing results for target effects. Antidrug antibody effect is less often evaluated. The observed trend of measuring biologically active forms of TP is consistent with the scientific understanding that pharmacokinetics of biologically active forms is more likely to be relevant to the clinical responses and evaluation of clinically meaningful differences to contribute to biosimilarity assessments.
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42

Yaroshenko, D. V., and L. A. Kartsova. "Matrix effect and methods for its elimination in bioanalytical methods using chromatography-mass spectrometry." Journal of Analytical Chemistry 69, no. 4 (March 26, 2014): 311–17. http://dx.doi.org/10.1134/s1061934814040133.

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43

Mace, Charles, Aoife Morrin, and Rebecca Whelan. "Introduction to bioanalytical sensors for real-world applications." Analytical Methods 13, no. 15 (2021): 1776–77. http://dx.doi.org/10.1039/d1ay90015c.

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44

Tijare, Lokesh Khushalrao, Rangari Nt, and Mahajan Un. "A REVIEW ON BIOANALYTICAL METHOD DEVELOPMENT AND VALIDATION." Asian Journal of Pharmaceutical and Clinical Research 9, no. 9 (December 1, 2016): 6. http://dx.doi.org/10.22159/ajpcr.2016.v9s3.14321.

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ABSTRACTIn this review article, bioanalytical methods are widely used to quantitate drugs and their metabolites in plasma matrices and the methods should beapplied to studies in areas of human clinical and nonhuman study. Bioanalytical method employed for the quantitative estimation of drugs and theirmetabolites in biological media and plays an important role in estimation and interpretation of bioequivalence, pharmacokinetic, and toxicokineticstudies. The major bioanalytical role is method development, method validation, and sample analysis. Every step in the method must be investigatedto decide the extent to which environment, matrix, or procedural variables can interfere the estimation of analyte in the matrix from the time of setup to the time of analysis. Techniques such as high pressure liquid chromatography (HPLC) and liquid chromatography coupled with double massspectrometry (LCMS-MS) can be used for the bioanalysis of drugs in body. Each of the instruments has its own merits and demerits. Chromatographicmethods are HPLC and gas chromatography have been mainly used for the bioanlysis of small/ large molecules, with LC/MS/MS. Linearity, accuracy,precision, selectivity, sensitivity, reproducibility, and stability are some of the regularly used parameters. In this review article, we are proposedto add some points regarding bioanalytical method development and validation parameter, beneficial to quality assurance to determine the drug,concentration and its metabolite.Keywords: Method development, Clinical and nonclinical study, Analyte, Validation of bioanlysis techniques, Validation parameter.
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45

Wang, Xu, Ke Feng Li, Erwin Adams, and Ann Van Schepdael. "Matrix Metalloproteinase Inhibitors: A Review on Bioanalytical Methods, Pharmacokinetics and Metabolism." Current Drug Metabolism 12, no. 4 (May 1, 2011): 395–410. http://dx.doi.org/10.2174/138920011795202901.

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46

Marzo, Antonio. "Development Steps of Pharmacokinetics: A Perspective on Bioanalytical Methods and Bioequivalence." Current Clinical Pharmacology 7, no. 4 (October 1, 2012): 328–32. http://dx.doi.org/10.2174/157488412803305867.

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47

Dator, Romel P., Morwena J. Solivio, Peter W. Villalta, and Silvia Balbo. "Bioanalytical and Mass Spectrometric Methods for Aldehyde Profiling in Biological Fluids." Toxics 7, no. 2 (June 4, 2019): 32. http://dx.doi.org/10.3390/toxics7020032.

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Human exposure to aldehydes is implicated in multiple diseases including diabetes, cardiovascular diseases, neurodegenerative disorders (i.e., Alzheimer’s and Parkinson’s Diseases), and cancer. Because these compounds are strong electrophiles, they can react with nucleophilic sites in DNA and proteins to form reversible and irreversible modifications. These modifications, if not eliminated or repaired, can lead to alteration in cellular homeostasis, cell death and ultimately contribute to disease pathogenesis. This review provides an overview of the current knowledge of the methods and applications of aldehyde exposure measurements, with a particular focus on bioanalytical and mass spectrometric techniques, including recent advances in mass spectrometry (MS)-based profiling methods for identifying potential biomarkers of aldehyde exposure. We discuss the various derivatization reagents used to capture small polar aldehydes and methods to quantify these compounds in biological matrices. In addition, we present emerging mass spectrometry-based methods, which use high-resolution accurate mass (HR/AM) analysis for characterizing carbonyl compounds and their potential applications in molecular epidemiology studies. With the availability of diverse bioanalytical methods presented here including simple and rapid techniques allowing remote monitoring of aldehydes, real-time imaging of aldehydic load in cells, advances in MS instrumentation, high performance chromatographic separation, and improved bioinformatics tools, the data acquired enable increased sensitivity for identifying specific aldehydes and new biomarkers of aldehyde exposure. Finally, the combination of these techniques with exciting new methods for single cell analysis provides the potential for detection and profiling of aldehydes at a cellular level, opening up the opportunity to minutely dissect their roles and biological consequences in cellular metabolism and diseases pathogenesis.
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48

Fountain, Mark E. "Bioanalytical method development: considering information from a suite of complementary methods." Bioanalysis 4, no. 2 (January 2012): 115–19. http://dx.doi.org/10.4155/bio.11.307.

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49

Rozet, Eric, Pierre Lebrun, Benjamin Debrus, and Philippe Hubert. "New methodology for the development of chromatographic methods with bioanalytical application." Bioanalysis 4, no. 7 (April 2012): 755–58. http://dx.doi.org/10.4155/bio.12.47.

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50

Matys, Joanna, Barbara Gieroba, and Krzysztof Jóźwiak. "Recent developments of bioanalytical methods in determination of neurotransmitters in vivo." Journal of Pharmaceutical and Biomedical Analysis 180 (February 2020): 113079. http://dx.doi.org/10.1016/j.jpba.2019.113079.

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