Journal articles: 'Analytical biochemistry'

1

Smyth, Malcolm R. "Analytical Biochemistry." Analytica Chimica Acta 319, no. 3 (February 1996): 394. http://dx.doi.org/10.1016/s0003-2670(96)90747-3.

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Scheller, Frieder W., and Frank F. Bier. "Analytical biochemistry." Analytical and Bioanalytical Chemistry 378, no. 1 (January 1, 2004): 1–2. http://dx.doi.org/10.1007/s00216-003-2239-9.

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Katz, S. A. "The analytical biochemistry of chromium." Environmental Health Perspectives 92 (May 1991): 13–16. http://dx.doi.org/10.1289/ehp.919213.

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Jakoby, William B. "Analytical Biochemistry at age 50." Analytical Biochemistry 412, no. 2 (May 2011): 133. http://dx.doi.org/10.1016/j.ab.2010.11.018.

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Majkic-Singh, Nada. "Society of medical biochemists of Serbia and Montenegro: 50 years anniversary." Jugoslovenska medicinska biohemija 24, no. 3 (2005): 157–70. http://dx.doi.org/10.2298/jmh0503157m.

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Medical biochemistry (synonyms: clinical chemistry or clinical biochemistry) in the terms of professional and scientific discipline, stems from and/or has developed along with the natural sciences and its influences (mathematics, physics, chemistry and biochemistry) and medical sciences as well (physiology, genetics, cell biology). As a scientific discipline, medical biochemistry studies metabolic processes of physiological and pathological changes with humans and animals. Applying analytical chemistry's and biochemistry's techniques enables medical biochemists to gain plenty of information related to diagnosis and prognosis which serve physicians to asses the gravity of illness and prescribe healing therapy. Therefore medical biochemistry is an integral part of modern medicine. This discipline was dubbed various, often confusing names such as pathology, physiology, clinical biology, clinical pathology, chemical pathology, clinical biochemistry, medical biochemistry, clinical chemistry and laboratory medicine, all depending on place of origin. The official, internationally accepted name - clinical chemistry, was mentioned for the first time in 1912 by Johan Scherer, who described his laboratory as Clinical Chemistry Laboratory (Klinisch Chemische Laboratorium) in the hospital Julius in Wurzburg in Germany. After creating national societies of clinical chemists, Professor Earl J. King of Royal Postgraduate Medical School from London incited an initiative to unite national societies into the organization with worldwide character - it was the International Association of Clinical Biochemists, monitored by the International Union for Pure and Applied Chemistry (IUPAC). On 24 July 1952 in Paris, a Second International Congress of Biochemistry was held. A year later, in Stockholm, the name of a newly formed association was altered into International Federation of Clinical Chemistry, which was officially accepted in 1955 in Brussels. Today this federation-s name is International Federation for Clinical Chemistry and Laboratory Medicine (IFCC). Right after the World War II our medical biochemists began to gather within their expert societies. Even before 1950 Pharmaceutical Society of Serbia hosted laboratory experts among whom the most active were Prof. Dr. Aleksandar Damanski for bromatology, Prof. Dr. Momcilo Mokranjac for toxicology and Docent Dr. Pavle Trpinac for biochemistry. When the Managing Board of the Pharmaceutical Society of National Republic of Serbia held its session on 22 December 1950, an issue was raised with reference to creation of a Section that would gather together the laboratory experts. Section for Sanitary Chemistry, combining all three profiles of laboratory staff, i.e. medical biochemists, sanitary chemists and toxicologists, was founded on 1st of January 1951. On 15 May 1955, during the sixth plenum of the Society of Pharmaceutical Societies of Yugoslavia (SFRY) held in Split, the decision was passed to set up a Section for Medical Biochemistry in SFDJ. The Section for Medical Biochemistry in SFDJ was renamed into Society for Medical Biochemistry of SFDJ based on the decision passed during the 16th plenum of SFDJ, held on 15 May 1965 in Banja Luka. Pursuant to the decision passed by SMBY on 6 April 1995 and based on the historic data, 15 May was declared as being the official Day of the Society of Medical Biochemists of Yugoslavia. The purpose of YuSMB (currently SMBSCG) is to gather medical biochemists who would develop and enhance all the branches of medical biochemistry in health industry. Its tasks are as following: to standardize operations in clinical-biochemical laboratories, education of young biochemists on all levels, encouraging scientific research, setting up of working norms and implementation, execution and abiding by the ethics codices with health workers. SMBSCG is to promote the systemized standards in the field of medical biochemistry with the relevant federal and republican institutions. SMBSCG is to enable exchange of experiences of its members with the members of affiliate associations in the country and abroad. .

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Chadda, Kavya, Mallick Rajni Satyendra Kumar, and Chinka Patel. "Pre-Analytical Error in Biochemistry Laboratory." Scholars International Journal of Biochemistry 7, no. 02 (March 14, 2024): 25–29. http://dx.doi.org/10.36348/sijb.2024.v07i02.002.

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An observational study was done for a period of 6 months from 1st January, 2023 to 30th June, 2023 in the clinical biochemistry laboratory at GCS Medical College, Hospital and Research Centre. The study delved into pre-analytical errors within clinical biochemistry laboratories, focusing on error types, their prevalence, and potential impact. The study aimed to identify and quantify errors occurring in the pre-analytical phase, spanning from sample collection to report generation. Among the recorded errors (n=50), the most frequent was insufficient sample volume, signifying a pressing concern. Another prevalent error was Tests Not Mentioned or Add-on Testing, accounting for 26% of all errors, potentially disrupting workflow. The research also highlighted additional errors, including hemolysis, clotted samples, contamination from infusion routes, and lipemic samples. The study underscored the significance of addressing these errors to ensure accurate and reliable test results, thereby enhancing patient care. Overall, it provided valuable insights into the landscape of pre-analytical errors in clinical biochemistry, emphasizing the need for improved procedures, enhanced training, and effective communication to enhance the quality and precision of laboratory testing and, ultimately, patient care.

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Gosling, Peter. "Analytical Reviews in Clinical Biochemistry: Calcium Measurement." Annals of Clinical Biochemistry: International Journal of Laboratory Medicine 23, no. 2 (March 1986): 146–56. http://dx.doi.org/10.1177/000456328602300203.

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8

Challand, G. S. "Book Review: Problem Solving in Analytical Biochemistry." Annals of Clinical Biochemistry: International Journal of Laboratory Medicine 32, no. 4 (July 1995): 436. http://dx.doi.org/10.1177/000456329503200419.

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Li, Qiang, and Stefan Seeger. "Autofluorescence Detection in Analytical Chemistry and Biochemistry." Applied Spectroscopy Reviews 45, no. 1 (January 25, 2010): 12–43. http://dx.doi.org/10.1080/05704920903435425.

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10

Duffy, Patricia, Iman Saad, and Jean M. Wallach. "New developments of conductimetry in analytical biochemistry." Fresenius' Zeitschrift für analytische Chemie 330, no. 4-5 (January 1988): 357. http://dx.doi.org/10.1007/bf00469279.

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Duffy, P., I. Saad, and J. M. Wallach. "New developments of conductometric measurements in analytical biochemistry." Analytica Chimica Acta 213 (1988): 267–72. http://dx.doi.org/10.1016/s0003-2670(00)81363-x.

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12

O' Sullivan, Ciara K., Luis Antonio Tortajada-Genaro, Olaf Piepenburg, and Ioanis Katakis. "Editorial for Analytical Biochemistry special issue on RPA." Analytical Biochemistry 556 (September 2018): 125–28. http://dx.doi.org/10.1016/j.ab.2018.06.026.

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13

Snyder, A. P. "Transfer of analytical biochemistry technology to the field." Field Analytical Chemistry & Technology 5, no. 4 (2001): 169–70. http://dx.doi.org/10.1002/fact.1017.

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Imai, Kazuhiro, Takeshi Fukushima, Tomofumi Santa, Hiroshi Homma, Kenji Hamase, Kumiko Sakai, and Masaru Kato. "Analytical Chemistry and Biochemistry of D-Amino Acids." Biomedical Chromatography 10, no. 6 (November 1996): 303–12. http://dx.doi.org/10.1002/(sici)1099-0801(199611)10:6<303::aid-bmc624>3.0.co;2-b.

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15

Ragsdale, Stephen W. "Nickel biochemistry." Current Opinion in Chemical Biology 2, no. 2 (April 1998): 208–15. http://dx.doi.org/10.1016/s1367-5931(98)80062-8.

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16

Záruba, Kamil, Vladimír Setnička, Jana Charvátová, Oleksandr Rusin, Zuzana Tománková, Jan Hrdlička, David Sýkora, and Vladimír Král. "Analytical Application of Oligopyrrole Macrocycles." Collection of Czechoslovak Chemical Communications 66, no. 5 (2001): 693–769. http://dx.doi.org/10.1135/cccc20010693.

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Progress of modern analytical chemistry is closely related with advancement in other fields such as organic chemistry and biochemistry. Successful solution of current scientific problems is inconceivable without close cooperation of different chemical disciplines. As an example of such hot and very intricate theme research in the field of molecular recognition of biologically active compounds can serve, where numerous methods of analytical chemistry, organic chemistry and biochemistry can suitably be utilized, elaborated and brought into consonance. This multidisciplinary overlap logically leads to the advent of new scientific fields with their own tools, methodologies and subjects of exploration - bioanalytical chemistry and nanotechnology. This review covers different aspects of analytical application of oligopyrrole macrocycles (mainly porphyrins and sapphyrins). These compounds are widely used in analytical chemistry due to their outstanding optical properties. In our contribution oligopyrrole macrocycles are considered as signaling and structural parts of chemical receptors and selectors in various applications. Introduction of different moieties into meso-position of macrocyclic rings allows to obtain e.g., sterically well-organized receptors for recognition of biologically important analytes, new chromatographic materials, and powerful tools in electrochemical research. Finally, future trends in the field are outlined briefly.

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Hamid, Iram, Vinitha Ramnath Pai, Raghavendra U, and M. H. Sheriff. "Pre-analytical errors in clinical biochemistry-a comparative study." International Journal of Clinical Biochemistry and Research 6, no. 2 (June 15, 2019): 182–89. http://dx.doi.org/10.18231/j.ijcbr.2019.042.

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18

SWEELEY, Charles C. "Reflections on my career in analytical chemistry and biochemistry." Proceedings of the Japan Academy, Series B 86, no. 8 (2010): 822–36. http://dx.doi.org/10.2183/pjab.86.822.

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19

Armbruster, D. A. "Prostate-specific antigen: biochemistry, analytical methods, and clinical application." Clinical Chemistry 39, no. 2 (February 1, 1993): 181–95. http://dx.doi.org/10.1093/clinchem/39.2.181.

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Abstract Prostate-specific antigen (PSA) is a glycoprotein produced exclusively by prostatic tissue. PSA's absolute tissue specificity makes it valuable as a forensic marker and, more important, as a tumor marker for prostatic cancer. Prostatic cancer is prevalent in the older male population and is a major cause of death in men. Previously, prostatic acid phosphatase (PAP) was used to help diagnose and monitor the efficacy of therapy for prostate cancer. PAP has now been displaced by PSA, which has greater clinical sensitivity even though it has less clinical specificity. PSA is useful for monitoring therapy, particularly surgical prostatectomy, because complete removal of the prostate gland should result in PSA being undetectable. Measurable PSA after radical prostatectomy indicates residual prostatic tissue or metastasis, and increasing PSA concentrations indicate recurrent disease. PSA is also useful for screening selected populations of patients with symptoms indicative of prostate cancer; its use for general screening is debatable because of its less-than-optimal specificity, the cost of unselected screening, and the lack of evidence that early detection of prostate cancer decreases morbidity and mortality. Distinguishing between patients with prostatic cancer and those with benign prostatic hypertrophy is particularly difficult because of the overlap in PSA values in the two groups. Determining the rate of change in PSA per year from serial measurements or calculating the ratio of PSA per volume of the prostate gland may allow these two groups to be more readily differentiated.

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Spencer, K. "Analytical Reviews in Clinical Biochemistry: The Estimation of Creatinine." Annals of Clinical Biochemistry: An international journal of biochemistry and laboratory medicine 23, no. 1 (January 1, 1986): 1–25. http://dx.doi.org/10.1177/000456328602300101.

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21

Price, C. P., and D. R. James. "Analytical Reviews in Clinical Biochemistry: The Measurement of Urate." Annals of Clinical Biochemistry: International Journal of Laboratory Medicine 25, no. 5 (September 1988): 484–98. http://dx.doi.org/10.1177/000456328802500503.

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22

Taylor, A. J., and P. Vadgama. "Analytical Reviews in Clinical Biochemistry: The Estimation of Urea." Annals of Clinical Biochemistry: International Journal of Laboratory Medicine 29, no. 3 (May 1992): 245–64. http://dx.doi.org/10.1177/000456329202900301.

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23

Ohno, Ken-ichi, Kaoru Tachikawa, and Andreas Manz. "Microfluidics: Applications for analytical purposes in chemistry and biochemistry." ELECTROPHORESIS 29, no. 22 (November 2008): 4443–53. http://dx.doi.org/10.1002/elps.200800121.

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24

Sonntag, Oswald. "Analytical interferences and analytical quality." Clinica Chimica Acta 404, no. 1 (June 2009): 37–40. http://dx.doi.org/10.1016/j.cca.2009.03.031.

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25

P, Dr Srirekha, Dr R. S. Swaroopa Rani, Dr Sarada U, and Dr B. Ravindra Reddy. "Study of Pre-Analytical Errors in a Clinical Biochemistry Laboratory." East African Scholars Journal of Medical Sciences 5, no. 1 (January 10, 2022): 5–9. http://dx.doi.org/10.36349/easms.2022.v05i01.002.

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Background: A diagnostic error was a much wider issue in the Laborotory Medicine and further steps are required towards improving in Understanding the issue to reduce the errors in Lab. The current study about the nature of laboratory testing associated errors mainly concerns from ordering test to interpretation of results and importance in reducing errors. Objective: To study errors in 24 hrs lab of GGH Kurnool for 3 months over the whole testing cycle including pre-analytical, analytical, and post-analytical phases. Materials and methods: The number of different type of errors in Pre- analytical, analytical and post-analytical phases was recorded on designed proforma for 2 months from Oct 2021 to NOV 30 2021. All collected data was entered and analysed by using SPSS version 21. Results: Over 2 months, all venous and arterial blood samples were received in 24 hrs lab of GGH. Of the 1, 80, 011 samples received during the study period, 2340 samples were found to be unsuitable for testing, accounting for 1.30% of the rejection. All these samples were rejected due to different types of pre-analytical errors that are due to All these samples were rejected due to different types of pre-analytical errors that are due to misidentification (0.06%), incorrect tube (0.1%) missing samples (0.06%), draw from IV site (0.09%), inadequate samples (0.5%), wrong timing of sample collection (0.09%), hemolysed samples (0.3%) and lipemic samples (0.1%). Conclusions: The use of a consensually-defined list of evidence-based Quality indicators to be applied in the accreditation programs of clinical laboratories according to the current International Standard (ISO 15189:2012) is an effective tool for improving quality, decreasing the risk of errors and increasing patient safety.

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Hégarat, Nadia, Gildas Mouta Cardoso, Filippo Rusconi, Jean-Christophe François, and Danièle Praseuth. "Analytical biochemistry of DNA–protein assemblies from crude cell extracts." Nucleic Acids Research 35, no. 13 (July 2007): e92. http://dx.doi.org/10.1093/nar/gkm490.

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Richmond, W. "Analytical Reviews in Clinical Biochemistry: The Quantitative Analysis of Cholesterol." Annals of Clinical Biochemistry: International Journal of Laboratory Medicine 29, no. 6 (November 1992): 577–97. http://dx.doi.org/10.1177/000456329202900601.

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Goos, H. "Biochemistry and molecular biology of fishes vol. 3: Analytical techniques." Aquaculture 140, no. 4 (April 1996): 383. http://dx.doi.org/10.1016/0044-8486(96)85212-4.

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Ashakiran, S., M. E. Sumati, and N. Krishna Murthy. "A study of pre-analytical variables in clinical biochemistry laboratory." Clinical Biochemistry 44, no. 10-11 (July 2011): 944–45. http://dx.doi.org/10.1016/j.clinbiochem.2011.05.003.

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30

Jakoby, William B. "Analytical biochemistry Volume 200: Where we were; where we stand." Analytical Biochemistry 200, no. 1 (January 1992): 1–5. http://dx.doi.org/10.1016/0003-2697(92)90268-c.

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31

Pearson, Joseph, Marcel Hofstetter, Thomas Dekorsy, Michael Totzeck, and Helmut Cölfen. "Design concepts in absorbance optical systems for analytical ultracentrifugation." Analyst 143, no. 17 (2018): 4040–50. http://dx.doi.org/10.1039/c8an00706c.

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Analytical ultracentrifugation is a powerful technique for analyzing particles in solution, and has proved valuable for a wide range of applications in chemistry, biochemistry and material sciences for many years.

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Athanasiadou, Zoi S., Antonia Mourtzikou, Marilena Stamouli, and Petros Karkalousos. "Quality Indicators for the Performance Evaluation at a Biochemistry Laboratory." International Journal of Reliable and Quality E-Healthcare 9, no. 2 (April 2020): 18–33. http://dx.doi.org/10.4018/ijrqeh.2020040102.

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The use of quality indicators and risk evaluation are valuable tools for maintaining the quality of laboratory tests. There are both requirements of ISO 15189: 2012 and are usually based on common statistical and empirical data. The purpose of the present study was the quality quantification and risk evaluation through the collection, study, and analysis of quality indicators covering the pre-analytical, analytical, and post-analytical phases of the laboratory testing process. Statistical data was collected for the period from 1/12/2017 to 28/2/2018, using the LIS of Biochemical Laboratory. QIs were evaluated using the Six Sigma method and the Pareto statistical tool. FMEA risk analysis was performed, while the degree of risk priority with the Pareto method. The results show that in the analytical phase the QIs give us satisfactory values, while those in the pre- and post- analytical phases need further preventive/corrective actions in order to overcome the problems raised by the QIs. Thus, the fully automatization and computerization of the laboratory is needed.

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van der Meulen, E. A., N. J. van Sittert, A. G. de Koningh, D. Lugtenburg, and R. van Strik. "General approach to correction for bias in analytical performance in longitudinal studies illustrated by estimating the effect of age on gamma-glutamyltransferase activity." Clinical Chemistry 39, no. 7 (July 1, 1993): 1375–81. http://dx.doi.org/10.1093/clinchem/39.7.1375.

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Abstract For studying trends in blood biochemistry analytes of an individual or a group of individuals, the outcome may be influenced by analytical changes that may have occurred during the study. An observed trend may well represent a drift in analytical performance instead of a truly biological finding. We developed a model that allows for retrospective correction of analytical changes with time. This model is based on the concept of adjustment of an individual's longitudinal blood biochemistry data by comparing the long-term results of the laboratory with those of other laboratories in an external quality-control survey program. Factors responsible for the analytical bias of our laboratory were identified by multiple regression analysis. The resulting procedure for assessing analytical bias and variability was applied to study in two mutually exclusive cohorts of employees of the Shell petrochemical complex in Rotterdam (a) the true nature of the changes (analytical or biological) in gamma-glutamyltransferase (GGT) and (b) the effect of age on GGT. The first cohort consisted of employees who attended a periodic health assessment in 1984 and in 1989; the second, employees who attended periodic health assessments in 1985 and in 1988. Thus we studied 3- and 5-year changes of GGT corrected for analytical bias. Whereas standard cross-sectional results apparently showed an increase of GGT up to age 50 years, the longitudinal findings corrected for analytical changes, as indicated above, do not support these cross-sectional results.

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Modibo Coulibaly, Jean Luis Konan, Mary Laure Hauhouot Attoungbre, and Dagui Monnet. "Internal quality control of Na+ and K+ at clinical biochemistry laboratory." World Journal of Chemical and Pharmaceutical Sciences 1, no. 1 (September 30, 2022): 034–41. http://dx.doi.org/10.53346/wjcps.2022.1.1.0026.

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Background: the blood electrolyte analysis is a routine laboratory test, the proper execution of which would help in the diagnosis of hydro-electrolyte disorders. We undertook to assess the quality of the sodium and potassium from the pre-pre-analytical phase to the post-analytical phase. Material and Methods: This was a cross-sectional study which took in the laboratory of biochemistry at the Institute of Cardiology, Abidjan, Ivory Coast from March 1st to March 31, 2009. We used the flame photometer to measure the sodium and potassium electrolytes level in the internal control Exatrol-Normal from Biolabo® and those of the clinical samples. The pre-pre-analytical quality indicators depending on the physician’s order, the pre-analytical quality indicators and the post-analytical indicators under the control of the laboratory and based on the NF standard ISO 15189 version 2012 have been determined. Data were captured into Microsoft Access [Microsoft Corporation, Redmond, WA] and then imported and analyzed using QI Macros SPC Software for Excel®. The monthly dispersion parameters of the Exatrol Normal were used to establish the Levey-Jennings diagram and the Wesgard’s rules were used for the interpretation. Results: a total of 112 electrolytes analysis order were received. For the pre-pre-analytical phase, the analysis of these requests revealed that 81 (72.3%) requests carried no clinical information. The non-compliance of the samples were mainly represented by the sampling under tight tourniquet 4 (3.6%), followed by the non-respect of the succession tubes during multiple sampling 3 (2.7%). For the analytical phase, the monthly Levey-Jennings diagram showed a dispersion of the Exatrol-Normal® values between the mean plus or minus 2 standard deviations [m ± 2SD]: 139.34 ± 2.84 mmol/L for sodium (Na+). For the potassium (K+), the values of Exatrol-Normal® were between [m± SD]: 4.2±0.78 mmol/L. The interpretation of the two Levey-Jennings diagrams by Wesgard’s rules did not found any statistically significant mistake with regard to the distribution of Na+ and K+ levels. For clinical samples, isolated hyponatremia was the most common disturbance (30.4%) followed by isolated hypokalemia (12.5%). At the post-analytical phase we observed a mean turnaround time of 34 minutes with extremes ranging from 23 to 95 minutes. One case (0.9%) of transcription error was noted. Conclusion: the internal quality control process is applied in the clinical biochemistry laboratory at the Institute of Cardiology, Abidjan. A systematic verification system of the different phases of the analytical process makes it possible to identify errors at all levels of the analytical process and to take corrective action if necessary. Better collaboration between clinicians requesting electrolyte analysis and biologists performing the analysis is necessary to improve the pre-pre-analytical phase and, beyond that, better patient care.

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Griffiths, William J., and Yuqin Wang. "Sterolomics in biology, biochemistry, medicine." TrAC Trends in Analytical Chemistry 120 (November 2019): 115280. http://dx.doi.org/10.1016/j.trac.2018.10.016.

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Ahsan, Farah, Sumeera Samreen, Mamta Bansal, Mandeep Narang, and Tariq Masood. "A study of pre-analytical errors in the clinical biochemistry laboratory of Shri Mahant Indresh Hospital, Dehradun." Journal of Management Research and Analysis 9, no. 2 (June 15, 2022): 67–69. http://dx.doi.org/10.18231/j.jmra.2022.014.

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The aim and objective of study was to categorize and calculate the percentage error of pre-analytical variables in the clinical biochemistry laboratory. A Prospective study was Conducted at Central laboratory Department of Biochemistry Shri Mahant Indresh Hospital for a period of three months from December 2021 to February 2022.During this period different types of pre-analytical errors were monitored. Out of 279,137 samples received during the study period, 152 samples were found to be unsuitable for testing, accounting 0.054% of the rejection. All the samples were rejected due to different types of pre-analytical errors that are due to haemolysis 140 (0.050%) followed by wrong sample 6 (0.0021%), Typing error 3 (0.00107%) and Wrong ID 1(0.00035%).Out of these rejection 148 samples were from IPD and 4 samples were from OPD. Pre-analytical errors occurring in each laboratory have to be checked. In this study pre-analytical errors in IPD samples were more than OPD samples. Such errors are not inevitable and can be avoided with diligent application of quality control, continuing education and effective collection system.

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Cherif, Redouane Amine, Malika Boucetta, Yasmina Chaouche Khouane, Rachida Derghal, Mebarek Boucetta, Malika Nawel Bouaicha, Nadjoua Alloui, and Hanane Boukrous. "Post-analytical phase: Improvement of the communication of test results by the development of a computer software in biochemistry laboratory at CHU Batna." Batna Journal of Medical Sciences (BJMS) 1, no. 2 (December 31, 2014): 70–74. http://dx.doi.org/10.48087/bjmsoa.2014.1206.

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Background: A quality system in a clinical laboratory involves supervision of all the phases of the total testing process: pre-analytical, analytical, and post-analytical. Misinterpretations during the last phase may cause a wrong diagnosis. Aim: Improvement of the interpretation of test results in the laboratory of biochemistry - CHU Batna, by the introduction of computer software ensuring better delivery and interpretation of results. Method: The updating of the reference values was based on the biochemistry analysis guides and equipment method sheets used in the biochemistry laboratory. The development of the software used two programs, Visual Basic 6 for the interface and Access 2007 for setting up the database. The first version of the software includes only general biochemistry. Results and Discussion: The analysis report obtained by the software developed presents specific reference values to each patient, and allows a record of results as an electronic file that can be archived and/or sent directly to the requesting service in the case of the presence of an intranet. In the future, the development of this first version of the software will focus on the introduction of tumor markers and hormonology with regular reviews of the reference values.

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N., Zaffar, Rashid H., Hussain S., and Hakeem A. "LABORATORY TURN AROUND TIME FOR BIOCHEMISTRY INVESTIGATIONS IN EMERGENCY DEPARTMENT OF A TERTIARY CARE HOSPITAL OF NORTH INDIA." International Journal of Advanced Research 9, no. 01 (January 31, 2021): 669–79. http://dx.doi.org/10.21474/ijar01/12343.

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Background: Laboratory turnaround time is considered one of the most important indicators of work efficiency in hospitals, physicians always need timely results to take effective clinical decisions especially in the emergency department where these results can guide physicians whether to admit patients to the hospital, discharge them home or do further investigations. Objectives:1. Calculate the turnaround time for the various biochemical investigations from accident and emergency of a tertiary care institute.2. To find the percentage contribution of pre-analytical, analytical and post analytical phases to TAT. Materials And Methods: This was a prospective, descriptive, single-center study of therapeutic TAT for biochemistry investigations in accident and emergency of a tertiary care hospital. The study was conducted for a period of 3 months from August 2020 to Oct 2020. During the present study period, all biochemistry investigations ordered from emergency department were studied. The Lundberg definition of TAT was used in this study. This means that the pre-analytical TAT used was from the point of order of tests to the receipt of samples at the laboratory. Similarly, the post-analytic phase started from the time results were available at the laboratory to the point where clinicians could access it for action. Results: The turnaround time (TAT) has been monitored in total of 7515 samples for biochemistry evaluation with mean TAT of 169.6 min. It was noted that the mean pre analytical time period was 120.6 min , Analytical time period 34 min while post analytical time period was 15 min. In our study of the pre-analytical phase 37.7%, 39.3%, and 22.9% tests were completed within 60, 60-120 and above 120 minutes, respectively. With respect to the analytical phase, 80.4% and 19.6% tests were completed below 45 minutes and above 45 minutes, respectively. Conclusion: Despite efficient analysis of results, the pre analytic period contributed the most delay in TAT. Collecting the blood samples under standard conditions, filling the test request slips, marking the samples with bar-codes contributed to long TAT.

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Clark, Penelope M. "Analytical isotachophoresis." Clinica Chimica Acta 179, no. 2 (February 1989): 213–14. http://dx.doi.org/10.1016/0009-8981(89)90173-3.

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Loh, Tze Ping, Andrea Rita Horvath, Cheng-Bin Wang, David Koch, Giuseppe Lippi, Nicasio Mancini, Maurizio Ferrari, et al. "Laboratory practices to mitigate biohazard risks during the COVID-19 outbreak: an IFCC global survey." Clinical Chemistry and Laboratory Medicine (CCLM) 58, no. 9 (August 27, 2020): 1433–40. http://dx.doi.org/10.1515/cclm-2020-0711.

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AbstractObjectivesA global survey was conducted by the IFCC Task Force on COVID-19 to better understand how general biochemistry laboratories manage the pre-analytical, analytical and post-analytical processes to mitigate biohazard risks during the coronavirus disease 2019 (COVID-19) pandemic.MethodsAn electronic survey was developed to record the general characteristics of the laboratory, as well as the pre-analytical, analytical, post-analytical and operational practices of biochemistry laboratories that are managing clinical samples of patients with COVID-19.ResultsA total of 1210 submissions were included in the analysis. The majority of responses came from hospital central/core laboratories that serve hospital patient groups and handle moderate daily sample volumes. There has been a decrease in the use of pneumatic tube transport, increase in hand delivery and increase in number of layers of plastic bags for samples of patients with clinically suspected or confirmed COVID-19. Surgical face masks and gloves are the most commonly used personal protective equipment (PPE). Just >50% of the laboratories did not perform an additional decontamination step on the instrument after analysis of samples from patients with clinically suspected or confirmed COVID-19. A fifth of laboratories disallowed add-on testing on these samples. Less than a quarter of laboratories autoclaved their samples prior to disposal.ConclusionsThe survey responses showed wide variation in pre-analytical, analytical and post-analytical practices in terms of PPE adoption and biosafety processes. It is likely that many of the suboptimal biosafety practices are related to practical local factors, such as limited PPE availability and lack of automated instrumentation.

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Rumley, A. G., and J. R. Paterson. "Analytical Aspects of Antioxidants and Free Radical Activity in Clinical Biochemistry." Annals of Clinical Biochemistry: International Journal of Laboratory Medicine 35, no. 2 (March 1998): 181–200. http://dx.doi.org/10.1177/000456329803500202.

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Ryabov, Alexander D., Viktoria S. Kurova, Vasily N. Goral, Marina D. Reshetova, Julija Razumiene, Remigijus Simkus, and Valdas Laurinavičius. "p-Ferrocenylaniline andp-Ferrocenylphenol: Promising Materials for Analytical Biochemistry and Bioelectrochemistry." Chemistry of Materials 11, no. 3 (March 1999): 600–604. http://dx.doi.org/10.1021/cm980729v.

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Braco, Lorenzo. "Biocatalysis and biorecognition in nonaqueous media. Some perspectives in analytical biochemistry." Mikrochimica Acta 120, no. 1-4 (March 1995): 231–42. http://dx.doi.org/10.1007/bf01244434.

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IMAI, Kazuhiro, Masaru KATO, Yong HUANG, Hideaki ICHIHARA, Takeshi FUKUSHIMA, Tomofumi SANTA, and Hiroshi HOMMA. "Recent Progress on Analytical Chemistry and Biochemistry of D-Amino Acids." YAKUGAKU ZASSHI 117, no. 10-11 (1997): 637–46. http://dx.doi.org/10.1248/yakushi1947.117.10-11_637.

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Erasmus, Daniel J., Sharon E. Brewer, and Bruno Cinel. "Integrating bio-inorganic and analytical chemistry into an undergraduate biochemistry laboratory." Biochemistry and Molecular Biology Education 43, no. 2 (March 4, 2015): 121–25. http://dx.doi.org/10.1002/bmb.20865.

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Yadav, Anurag, Ramlinga Reddy, Avinash S. S., Malathi M., Anmol Manaswini Yadav, and Nanda Kumar L. G. Yadav. "Analytical method validation of pooled TSH reagent in clinical biochemistry laboratory." Biomedicine 43, no. 01 (April 8, 2023): 462–68. http://dx.doi.org/10.51248/.v43i01.1808.

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Introduction and Aim: In today's world, laboratories are a crucial aspect of health-care services, and the biochemistry section contributes the most testing parameters. To our knowledge, this is the first attempt to verify and validate a pooled TSH reagent kit. The present study is aimed to pool and validate the pooled TSH reagent kit for testing and compare its performance with the intact manufactured supplied reagent kit. Materials and Methods: Performed in a medium-sized biochemistry laboratory with a daily sample load of 1000-1200. Before disposal, the TSH reagent with the available dead-volume was pooled in a new kit. We gathered three used TSH reagent kits from the same lot series and pooled the dead-volume to generate one functioning reagent. Before assessing the analytical performance of pooled TSH reagent, this was placed onto the instrument, calibrated, and Quality control ran. The CLIA procedure for testing method specification was used to evaluate the reagent's performance, which included accuracy, precision, measurement range, reference range, recovery, interference, and method comparison. Results: With a high degree of analytical precision, the obtained reference range was within the manufacturer's range (r2=0.99). Precision was comparable with the manufacturer claim; inter-assay variation (1.90% CV), Intra-assay variation (1.50% CV) and overall (1.33% CV). AMR found to be as true as established by the manufacturer - 0.005-100 µIU/mL. Internal quality control performance; level 2 & level 3 variations of 1.58% and 1.20% respectively. Conclusion: A pooled TSH reagent was precise, accurate as compared to the manufacturer Reagent kit. This will reduce the number of the reagent procurement by the laboratory with documented high kit utility rate (Kit efficiency Index) ranging between 90-100%.

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Shanker J, Sreeja, H. L. Vishwanath, Vibha C, and Muralidhara Krishna. "A study of pre-analytical errors in the clinical biochemistry laboratory at Victoria hospital, BMCRI, Bangalore." International Journal of Clinical Biochemistry and Research 8, no. 4 (January 15, 2022): 278–80. http://dx.doi.org/10.18231/j.ijcbr.2021.059.

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To categorize and calculate the percentage error of pre-analytical variables in the clinical biochemistry laboratory. Prospective observational study conducted for two months with documenting the frequency and type of pre-analytical errors occurring in venous samples. The total errors recorded were 1.31%. Insufficient volume followed by haemolysis amounted to a major proportion of errors. Continuous pre-analytical phase evaluation and taking corrective measures to make this phase error-free, have to be done.

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Pandith, Ashwini. "Evaluation of analytical performance & quality specification of urine biochemical analytes." International Journal of Clinical Biochemistry and Research 10, no. 2 (July 15, 2023): 110–13. http://dx.doi.org/10.18231/j.ijcbr.2023.017.

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Urinary biochemical analytes are very important tools for clinical decision making. Total allowable error (TEa) by integrating internal (IQC) and external (EQC) quality control performances are used to evaluate the performance of urinary biochemical analytes along with quality specifications strategy. : Alternate 6 months Coefficient of Variation (CV%) and External Quality Assurance Scheme (EQAS) bias% data for urinary biochemistry analytes were collected for the year 2022. TEa calculated for each analyte was calculated based on average CV% and bias%. Total TEa calculated values are compared with optimal, minimal and desirable TEa of each analyte. : TEa values of urinary biochemistry analytes were performing good and fulfilled minimal, desirable and optimal quality requirements except urine creatinine which did not fulfill the minimal standards.: TEa is an excellent quality management tool and quantitatively evaluates analytical performance. The accurate results generated are useful for clinicians for decision-making.

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Ivanova, Bojidarka. "Special Issue with Research Topics on “Recent Analysis and Applications of Mass Spectra on Biochemistry”." International Journal of Molecular Sciences 25, no. 4 (February 7, 2024): 1995. http://dx.doi.org/10.3390/ijms25041995.

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Valentine, Joan Selverstone, Diana L. Wertz, Thomas J. Lyons, Lee-Loung Liou, Joy J. Goto, and Edith Butler Gralla. "The dark side of dioxygen biochemistry." Current Opinion in Chemical Biology 2, no. 2 (April 1998): 253–62. http://dx.doi.org/10.1016/s1367-5931(98)80067-7.

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Journal articles on the topic 'Analytical biochemistry'

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