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1

Basel, Chris L. "Analytical methods development." Journal of Chemical Education 64, no. 6 (June 1987): 528. http://dx.doi.org/10.1021/ed064p528.

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2

Burgess, Chris. "Development and validation of analytical methods." Analytica Chimica Acta 338, no. 1-2 (February 1997): 163. http://dx.doi.org/10.1016/s0003-2670(97)85322-6.

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3

Helaskar, Chandrashekhar Bhagvatrao, and S. R. Kulkarni. "Analytical method development and validation for Aluminium." International Journal of Research and Development in Pharmacy & Life Sciences 7, no. 4 (August 2018): 3034–38. http://dx.doi.org/10.21276/ijrdpl.2278-0238.2018.7(4).3034-3038.

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4

Putta, Prapulla. "Analytical Methods Development and Validation of Naproxen and Sumatriptan by RP HPLC." International Journal of Trend in Scientific Research and Development Volume-3, Issue-4 (June 30, 2019): 325–27. http://dx.doi.org/10.31142/ijtsrd23582.

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MIYAKE, Shiro. "Development of Analytical Methods Using Immunological Reactions." BUNSEKI KAGAKU 69, no. 6 (June 5, 2020): 237–45. http://dx.doi.org/10.2116/bunsekikagaku.69.237.

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6

Nakai, K., H. Abe, N. Matsuda, M. Kobayasiy, H. Ikeda, S. Sekiguchi, and E. Tsuchida. "Development of Analytical Methods to Evaluate Sfh." Biomaterials, Artificial Cells and Immobilization Biotechnology 20, no. 2-4 (January 1992): 447–51. http://dx.doi.org/10.3109/10731199209119667.

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7

SHIMIZU, Youji. "Development of Analytical Methods of Fluid Erosion." Proceedings of the Space Engineering Conference 2004.13 (2005): 11–16. http://dx.doi.org/10.1299/jsmesec.2004.13.11.

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8

Vogt, Frederick G., and Alireza S. Kord. "Development of Quality-By-Design Analytical Methods." Journal of Pharmaceutical Sciences 100, no. 3 (March 2011): 797–812. http://dx.doi.org/10.1002/jps.22325.

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9

KANEKO, Emiko. "Development of Visual Analytical Methods for Trace Determination." Analytical Sciences 20, no. 2 (2004): 247–54. http://dx.doi.org/10.2116/analsci.20.247.

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10

Tsong, Yi, Xiaoyu Dong, and Meiyu Shen. "Development of statistical methods for analytical similarity assessment." Journal of Biopharmaceutical Statistics 27, no. 2 (December 15, 2016): 197–205. http://dx.doi.org/10.1080/10543406.2016.1272606.

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11

Sandín-España, Pilar, and Thierry Dagnac. "Development of Analytical Methods to Analyze Pesticide Residues." Molecules 28, no. 7 (March 30, 2023): 3074. http://dx.doi.org/10.3390/molecules28073074.

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12

Pan, Chaozhi, Swee Ngin Tan, Jean Wan Hong Yong, and Liya Ge. "Progress and development of analytical methods for gibberellins." Journal of Separation Science 40, no. 1 (October 14, 2016): 346–60. http://dx.doi.org/10.1002/jssc.201600857.

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13

Singh, Jitender, Sonia Sangwan, Parul Grover, Lovekesh Mehta, Deepika Kiran, and Anju Goyal. "Analytical Method Development and Validation for Assay of Rufinamide Drug." Journal of Pharmaceutical Technology, Research and Management 1, no. 2 (November 4, 2013): 191–203. http://dx.doi.org/10.15415/jptrm.2013.12012.

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14

Swati, Raysing, Patil Mansi, and Patil Aditya. "Analytical Method Development and Validation: A Concise Review (Review Article)." International Journal of Pharmacy and Biological Sciences 11, no. 1 (January 1, 2021): 09–16. http://dx.doi.org/10.21276/ijpbs.2021.11.1.2.

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15

A Patel, Sachin. "A Review on Analytical Method Development and Validation for Lusutrombopag." International Journal of Science and Research (IJSR) 12, no. 4 (April 5, 2023): 1321–23. http://dx.doi.org/10.21275/sr23419114521.

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16

Rudaz, Serge, Laurent Geiser, Davy Guillarme, and Jean-Luc Veuthey. "Development of Rapid Analytical Methods in the Laboratory of Pharmaceutical Analytical Chemistry (LCAP)." CHIMIA International Journal for Chemistry 59, no. 6 (June 1, 2005): 303–7. http://dx.doi.org/10.2533/000942905777676434.

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17

Yang, Seung-Hyun, Jeong-Han Kim, and Hoon Choi. "Development of Analytical methods for Chinomethionat in Livestock Products." Korean Journal of Environmental Agriculture 40, no. 2 (June 30, 2021): 134–41. http://dx.doi.org/10.5338/kjea.2021.40.2.16.

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18

Stojanović, Emilija, and Dragan Radovanović. "Historical Development of Analytical Methods for Anti-Doping Control." Physical Education and Sport Through the Centuries 4, no. 1 (June 1, 2017): 15–23. http://dx.doi.org/10.1515/spes-2016-0018.

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AbstractAlthough the fight against the use of doping in sport has been going on for almost 90 years, its effects have become tangible in the last 45 years only, thanks to the use of valid and sensitive analytical methods. Historically, extensive international scientific cooperation and technological progress have laid down the basis for the development of high quality doping control laboratories worldwide. New biotechnology products are constantly being discovered and are made available on the doping market, so that anti-doping approaches must be raised to a higher level, and analytical methods must be constantly improved and refined, since it has bacome obvious that to some extent they lag behind new sophisticated doping agents. However, all the methods must first be scientifically proven and tested in order to be adequately used against doping in sport. If the technology and systematic use of the latest scientific anti-doping knowledge continue to develop and advance, it will greatly contribute to the development of analytical methods.
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19

Sullivan, Darryl, and Richard Crowley. "Development and validation of analytical methods for dietary supplements." Toxicology 221, no. 1 (April 2006): 28–34. http://dx.doi.org/10.1016/j.tox.2005.12.020.

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20

Ramachandra, Bondigalla. "Development of Impurity Profiling Methods Using Modern Analytical Techniques." Critical Reviews in Analytical Chemistry 47, no. 1 (April 12, 2016): 24–36. http://dx.doi.org/10.1080/10408347.2016.1169913.

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21

MATSUMOTO, Kiyoshi. "Development of enzyme electrodes and flow injection analytical methods." Journal of the agricultural chemical society of Japan 61, no. 11 (1987): 1411–16. http://dx.doi.org/10.1271/nogeikagaku1924.61.1411.

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22

Puderbach, Herbert, Harald Pulm, and Lothar Kintrup. "Analytical methods for the development and monitoring of catalysts." Fresenius' Zeitschrift für analytische Chemie 333, no. 7 (January 1989): 768. http://dx.doi.org/10.1007/bf00476626.

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23

Budnikov, G. K. "Development of electrochemical methods in kazan." Journal of Analytical Chemistry 55, no. 3 (March 2000): 211–15. http://dx.doi.org/10.1007/bf02757201.

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24

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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25

Sandler, Todd, and Walter Enders. "Applying Analytical Methods to Study Terrorism." International Studies Perspectives 8, no. 3 (August 2007): 287–302. http://dx.doi.org/10.1111/j.1528-3585.2007.00290.x.

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26

HORIE, Masakazu. "Development of Analytical Methods for Residual Veterinary Drugs in Food." Food Hygiene and Safety Science (Shokuhin Eiseigaku Zasshi) 51, no. 6 (2010): 363–72. http://dx.doi.org/10.3358/shokueishi.51.363.

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27

Hanada, Kazutoshi, Masao Inose, Sakae Sato, Keiji Watanabe, and Kyoko Fujimoto. "Development of Analytical Methods for Free-MgO in Steelmaking Slag." Tetsu-to-Hagane 102, no. 1 (2016): 24–28. http://dx.doi.org/10.2355/tetsutohagane.tetsu-2015-064.

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28

GOTO, Tetsuhisa. "Development and Application of Some Analytical Methods for Tea Components." Chagyo Kenkyu Hokoku (Tea Research Journal), no. 80 (1994): 51–55. http://dx.doi.org/10.5979/cha.1994.80_51.

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29

Kononov, Yu D., and D. Yu Kononov. "Analytical Methods for Forecasting Development in the Electric Power Industry." Studies on Russian Economic Development 29, no. 5 (September 2018): 527–32. http://dx.doi.org/10.1134/s1075700718050076.

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30

Oh, Jae Myoung, Hwa Jung Lee, Kyeong Nyeo Bahn, Il Won Seo, Young Joo Lee, Jin Hee Lee, Ji Min Park, and Tae Seok Kang. "Development of Analytical Methods of Hyperoside from Rosa canina L." Journal of Food Hygiene and Safety 30, no. 2 (June 30, 2015): 173–77. http://dx.doi.org/10.13103/jfhs.2015.30.2.173.

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31

Bakhrushina, E. O., M. N. Anurova, V. V. Smirnov, and N. B. Demina. "Development of Analytical Methods for Peroral Prolonged-Release Nimesulide Gel." Pharmaceutical Chemistry Journal 51, no. 2 (May 2017): 130–35. http://dx.doi.org/10.1007/s11094-017-1571-x.

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32

Krčmová, Lenka Kujovská, Bohuslav Melichar, and František Švec. "Chromatographic methods development for clinical practice: requirements and limitations." Clinical Chemistry and Laboratory Medicine (CCLM) 58, no. 11 (October 25, 2020): 1785–93. http://dx.doi.org/10.1515/cclm-2020-0517.

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AbstractDevelopment of a chromatographic method in bioanalysis is a challenging and complex procedure with many pitfalls and often unexpected reversals that can require several months to accomplish. Even an experienced analytical team must contend many limitations mainly in connection with the strict requirements imposed on current clinical research. These restrictions typically persist throughout the whole development process, from clinical trial assignment, across optimization of extraction of biological materials and chromatographic separation, to validation and data interpretation. This paper describes questions and their possible answers raised during the pre-analytical phase such as use of modern sample preparation techniques in clinical methods, application of internal standards, as well as selection of stationary phases and detection techniques in the analytical phase. Validation problems and interpretation of results are demonstrated with three typical examples of characteristics to be considered, i.e. recovery, matrix effect, and limit of detection vs. lower limit of quantification.
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33

Коrniyenko, Yu V., and M. G. Suryaninov. "Development of CAD implementing the algorithm of boundary elements’ numerical analytical method." Odes’kyi Politechnichnyi Universytet. Pratsi, no. 1 (March 31, 2015): 128–33. http://dx.doi.org/10.15276/opu.1.45.2015.21.

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34

VLN, SAGAR, SHARMA GVR, OMPRAKASH G, and BHARAT KB. "ANALYTICAL METHOD DEVELOPMENT AND VALIDATION FOR RELATED SUBSTANCE IN OLANZAPINE BY HPLC." Indian Research Journal of Pharmacy and Science 3, no. 3 (September 2016): 763–72. http://dx.doi.org/10.21276/irjps.2016.3.3.5.

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35

SAEIDI, A., O. DECK, and T. VERDEL. "Development of building vulnerability functions in subsidence regions from analytical methods." Géotechnique 62, no. 2 (February 2012): 107–20. http://dx.doi.org/10.1680/geot.9.p.028.

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36

Kozachenko, D. M., A. I. Verlan, and R. H. Korobiova. "Development of Analytical Methods for Calculating Time Standards for Shunting Operations." Science and Transport Progress. Bulletin of Dnipropetrovsk National University of Railway Transport, no. 1(91) (February 15, 2021): 51–64. http://dx.doi.org/10.15802/stp2021/228097.

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Purpose. The article is aimed to conduct a historical analysis of the development of analytical methods for standardizing the duration of shunting operations, as well as assessing their compliance with the existing operating conditions of railway transport. Methodology. The research in this article was carried out on the basis of an analysis of literary sources and methods of the theory of the organization of the operational work of railways. Findings. The standardization of the duration of shunting operations is one of the most important tasks of the theory of operational work of railways. The existing method of standardizing the duration of shunting operations developed in the first half of the 20th century and is used to this day. The performed analysis shows that the scientific principles underlying it generally correspond to the modern conditions of the railway transport. Additional research in this area can be associated with assessing the influence of the initial location of cars on the tracks on the average duration of shunting operations, taking into account the influence of length restrictions of the cars groups being moved, as well as monitoring the implementation of established norms by statistical methods. The article also shows that the values of modern time standards for shunting operations, in many cases, are set for technical means and technologies that were used in railway transport in the 50–70s of the 20th century and do not correspond to the operating conditions of real stations and sidings of industrial enterprises. Therefore, they require revision. Originality. In this paper, based on historical analysis, the process of development of methods for setting the time for shunting operations is described and the factors influencing the current value of norms are established. Practical value. The research results make it possible to identify the reasons for the discrepancy between the existing time standards for performing shunting operations and the real operating conditions of stations and sidings of industrial enterprises, as well as to establish the main elements of the methodology for standardizing the duration of shunting operations that require revision.
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37

Putta, Prapulla. "Analytical methods Development and Validation of Crizotinib by RP-HPLC Technique." International Journal of Biochemistry and Pharmacology 1, no. 1 (January 28, 2019): 1–4. http://dx.doi.org/10.18689/ijbp-1000101.

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38

TABATA, Setsuko. "Development of analytical methods for mycotoxins, and research for food safety." Mycotoxins 62, no. 2 (2012): 63–75. http://dx.doi.org/10.2520/myco.62.63.

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39

Van Vliet, Kim, Yasmin Mohiuddin, Scott McClung, Veronique Blouin, Fabienne Rolling, Philippe Moullier, Mavis Agbandje-McKenna, and Richard O. Snyder. "Adeno-associated virus capsid serotype identification: Analytical methods development and application." Journal of Virological Methods 159, no. 2 (August 2009): 167–77. http://dx.doi.org/10.1016/j.jviromet.2009.03.020.

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40

Speziale, C. G. "Analytical Methods for the Development of Reynolds-Stress Closures in Turbulence." Annual Review of Fluid Mechanics 23, no. 1 (January 1991): 107–57. http://dx.doi.org/10.1146/annurev.fl.23.010191.000543.

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41

Noh, Hae Young, David Lallemant, and Anne S. Kiremidjian. "Development of empirical and analytical fragility functions using kernel smoothing methods." Earthquake Engineering & Structural Dynamics 44, no. 8 (October 24, 2014): 1163–80. http://dx.doi.org/10.1002/eqe.2505.

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42

Pancham, Yogesh, Nikita Patil, Girish B, and Vinod Mannur. "Development and Validation of Analytical Method for Determination of Andrographolide in Bulk Powder." International Journal of Pharma Research and Health Sciences 7, no. 1 (2019): 2899–903. http://dx.doi.org/10.21276/ijprhs.2019.01.08.

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43

Domach, Michael M. "Summary of recent developments in analytical methods." Journal of Biotechnology 71, no. 1-3 (May 1999): 229–32. http://dx.doi.org/10.1016/s0168-1656(99)00025-5.

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44

Kozhabaeva, S. A., B. G. Mukan, and R. K. Yelshibayev. "Human Development in Kazakhstan: Problems and Methods of Analysis." Economics: the strategy and practice 16, no. 4 (January 31, 2022): 174–87. http://dx.doi.org/10.51176/1997-9967-2021-4-174-187.

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Human potential assessment involves determining a person’s ability to live a healthy, long, and dignified life. The purpose of this article is to analyze the dynamics of the main indicators for measuring the human development index in Kazakhstan. The information base for scientific research was official statistical information, articles in domestic and foreign scientific publications. Within the framework of the study, general scientific, including analytical, statistical, graphical methods were used with the help of comparative, logical analysis tools. Within the framework of the analytical method, an analysis of indicators of the quality of life was carried out, including several blocks. The application of the analytical method made it possible to determine the trends of human development, assess the health, education level, and income level of people. Within the framework of the statistical method, the analysis and concretization of individual indicative indicators were carried out. During the study, a block of indicators for assessing the human development index (hereinafter referred to as the HDI) was identified, and their analysis and differentiation of levels by regions and types of localities was carried out. The analysis of the real gross product per capita and the indicator of real money income in Kazakhstan was carried out. As a result of the analysis of the quintile division of the population into groups, one of the main reasons for the increase in the existing inequality in income distribution was identified as the imperfection of the existing system of income redistribution in the economy.
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45

Berezkin, Victor. "Development of nontraditional planar-chromatographic methods." Journal of Planar Chromatography – Modern TLC 21, no. 5 (October 2008): 325–29. http://dx.doi.org/10.1556/jpc.21.2008.5.2.

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46

Oliveira, Pedro. "Sustainable Development Goals and Analytical Chemistry." Brazilian Journal of Analytical Chemistry 10, no. 39 (April 4, 2023): 1–2. http://dx.doi.org/10.30744/brjac.2179-3425.editorial.pvoliveira.n39.

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Analytical Chemistry has been consolidating itself over the years as a multidisciplinary area that has strong influence in the main branches of science. From the point of view of methods proposition, there are many unanswered questions that cannot do without analytical support. One of the great challenges is to meet some of the demands associated with sustainable development goals. The 17 sustainable development goals (SDGs) adopted by the United Nations Development Program since 2015 are “a universal call to action to end poverty, protect the planet, and ensure that by 2030 all people enjoy peace and prosperity”. The goals are ambitious and must balance social, economic, and environmental sustainability. Among the range of issues and challenges are the quality control of food, emerging microplastics pollution, nanoparticle and single particle determination, the control and removal of toxic elements and substances from environmental systems (water, soil, and air), and all chemical hazards that societies are exposed to today, which need attention and control. A quick observation of the 17 SDGs makes it possible to see how analytical chemistry can play an important role in fulfilling these challenging tasks. Over the years, analytical chemistry has evolved in such a way that the associated analytical techniques and methods are conducted quickly, safely, and with metrological quality. The creativity, knowhow, technology, and financial resources from all of society are necessary to achieve the SDGs in every context. This first volume of the 2023 BrJAC brings reflections and contributions that show adherence to some challenges mentioned above. The point of view of volatile species generation (VSG) for trace element and speciation analysis, including hydrides and different chemical structures, forming volatile species, such as carbonyls, alkyl-halides, and free atoms, nanoparticles, chelates, and oxides is a demonstration. The contribution on the preparation and use of miniaturized and low-cost electrochemical sensors shows the strength of this area, especially in the group of Brazilian scientists, and will undoubtedly contribute significantly to the identification of groups or different species or molecules. The review section shows the state of the art of capillary electrophoresis (CE) applied to human urine analysis for clinical diagnosis. The articles section covers auto-machine learning algorithms applied to vibrational spectroscopy data for the quality control of biodiesel; the determination of monomers of ethyl acrylate in commercial latex resin; spectrophotometric methods for the quality control of sodium diclofenac in tablets and lead-complex in vegetables using a new reagent for determination; and finally, a forensic contribution reporting a case of cocaine trafficking in asphaltic material. Enjoy and make good reading of the current issue!
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47

Katekar, Vinayak, Dipali Sangule, Om Bhurbhure, Priyanka Ingle, Shivprasad Dhage, and Krushna Jadhav. "A Review on Quality by Design Approach in Analytical Methods." Journal of Drug Delivery and Therapeutics 12, no. 3-S (June 15, 2022): 255–61. http://dx.doi.org/10.22270/jddt.v12i3-s.5386.

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Quality by Design (QbD) is a systematic approach to development that begins with predefined objectives for a product, process understanding, and process control based on knowledge and quality risk management. All conventional methods may fail to the intended purpose during method development and validation. In a QbD approach, the impact and interactions between critical method variables are understood using a Design of Experiments (DOE) approach, which gives multivariate analysis and modeling leading to the consistent quality of drug products. QbD tools like risk assessment and design of experiments, enable better quality to be incorporated into the analytical method and facilitate prior understanding and identification of variables affecting method performance. The main objective of the present review article is to describe different steps involved in method development by the QbD approach for analytical method development. The QbD Approach for method development comprises various steps that include defining method intent, performing experimental design, evaluating experimental results, selecting proper method conditions, and performing risk assessment with changing analytical parameters and conditions for evaluation. The purpose of analytical QbD is to attain quality in measurement. Keywords: Quality by Design (QbD), Design of Experiments (DOE), Critical attributes
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48

Gürbüz, Burcu, and Arran Fernandez. "Numerical and Analytical Methods for Differential Equations and Systems." Fractal and Fractional 8, no. 1 (January 16, 2024): 59. http://dx.doi.org/10.3390/fractalfract8010059.

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49

Villalobos, R. "Methods Development for On-Line Gas Chromatography." Journal of Chromatographic Science 28, no. 7 (July 1, 1990): 341–50. http://dx.doi.org/10.1093/chromsci/28.7.341.

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50

Baranovskaya, V. B., and M. Yu Medvedevskikh. "Validation of analytical methods: the international requirements." Industrial laboratory. Diagnostics of materials 84, no. 12 (December 20, 2018): 25–31. http://dx.doi.org/10.26896/1028-6861-2018-84-12-25-31.

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Analytical method is the most important part of chemical analysis, an action guide for the analyst and carrier of information about the metrological characteristics. To confirm the parameters and legitimize the methodology, Russian specialists traditionally use the procedure of metrological certification in accordance with GOST 8.563-2009. Validation of analytical procedures or analytical methods is a concept recently accepted in Russia and causes confusion in many domestic experts. However, this internationally accepted concept is actively used for long to assure the quality of chemical analysis. The European Community for Metrology in Analytical Chemistry (Eurachem) has developed a guide to validation of analytical methods «The Fitness for Purpose of Analytical Methods»; many articles have been published on this issue. This article is devoted to generalization of the similar features and individual differences in certification, validation and verification of the methods of chemical analysis. Metrological characteristics of the analytical methods are also considered. An emphasis is made on the procedure of estimating the uncertainty as the most important stage in the development and validation of the analytical method.
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