scholarly journals Multianalyte Serum Analysis Using Mid-Infrared Spectroscopy

1998 ◽  
Vol 35 (5) ◽  
pp. 624-632 ◽  
Author(s):  
R Anthony Shaw ◽  
Steven Kotowich ◽  
Michael Leroux ◽  
Henry H Mantsch
Keyword(s):  
Uric Acid ◽  
Total Protein ◽  
Correlation Coefficients ◽  
Standard Errors ◽  
Infrared Transmission ◽  
Serum Samples ◽  
Chemical Methods ◽  
Mid Infrared ◽  
Low Concentrations ◽  
Clinical Chemical

This study assesses the potential for using mid-infrared (mid-IR) spectroscopy of dried serum films as the basis for the simultaneous quantitation of eight serum analytes: Total protein, albumin, triglycerides, cholesterol, glucose, urea, creatinine and uric acid. Infrared transmission spectra were acquired for 300 serum samples, each analysed independently using accepted reference clinical chemical methods. Quantitation methods were based upon the infrared spectra and reference analyses for 200 specimens, and the models validated using the remaining 100 samples. Standard errors in the IR-predicted analyte levels (Sy/x) were 2.8 g/L (total protein), 2.2 g/L (albumin), 0.23 mmol/L (triglycerides), 0.28 mmol/L (cholesterol), 0.41 mmol/L (glucose) and 1.1 mmol/L for urea, with correlation coefficients (IR vs reference analyses) of 0.95 or better. The IR method emerged to be less suited for creatinine (S y/ x = μmol/L) and uric acid (S y/x = 140 μmol/L) due to the relatively low concentrations typical of these analytes.

Improved rapid assay of uric acid in serum by liquid chromatography.

1988 ◽  
Vol 34 (12) ◽  
pp. 2567-2568 ◽  
Author(s):  
M Tanaka ◽  
M Hama
Keyword(s):  
Uric Acid ◽  
High Performance ◽  
Rapid Determination ◽  
Correlation Coefficients ◽  
Gel Permeation Chromatography ◽  
Serum Samples ◽  
Step Procedure ◽  
One Step ◽  
Highly Porous

Abstract This improved method for rapid determination of uric acid in serum is based on high-performance liquid-gel-permeation chromatography, with hydrophilic and highly porous vinyl alcohol copolymer as packing material. It has the following advantages: no need for sample deproteinization or use of a precolumn, more than 500 serum samples can be analyzed without having to regenerate or recondition the analytical apparatus, and the analysis for uric acid is a one-step procedure. Correlation coefficients between this method and other methods are very good (r = 0.998, 0.999).

Correlation of Selected Serum Constituents: 1. Inter-Individual Variation and Analytical Error

1975 ◽  
Vol 21 (11) ◽  
pp. 1592-1600 ◽  
Author(s):  
Per Winkel ◽  
Bernard E Statland ◽  
Henning Bokelund ◽  
Eugene A Johnson
Keyword(s):  
Alkaline Phosphatase ◽  
Uric Acid ◽  
Lactate Dehydrogenase ◽  
Aspartate Aminotransferase ◽  
Correlation Coefficients ◽  
Serum Samples ◽  
Significant Component ◽  
Healthy Men ◽  
Analytical Error ◽  
Analytical Errors

Abstract The intra-subject correlations of three clinically meaningful combinations of serum constituents—(a) potassium, calcium, and albumin; (b) urea, creatinine, and uric acid; and (c) aspartate aminotransferase, lactate dehydrogenase, and alkaline phosphatase—were studied in 11 healthy men. Duplicate serum samples were obtained at 800 h, 1100 h, and 1400 h on five different days. All assays were performed on the AutoChemist Multichannel Analyzer. Correlation coefficients differed significantly among the subjects for the following six pairs of serum constituents: urea and creatinine, urea and uric acid, creatinine and uric acid, aspartate aminotransferase and lactate dehydrogenase, aspartate aminotransferase and alkaline phosphatase, and lactate dehydrogenase and alkaline phosphatase. Nonbiological positive correlation between analytical errors (i.e., errors of two different assays performed on the same specimen) was demonstrated for two of the pairs: potassium and calcium, and aspartate aminotransferase and lactate dehydrogenase. The error correlations of these two pairs of constituents comprised a significant component of the observed intra-subject correlations. Probable reasons for these analytical error correlations are discussed

scholarly journals Influence of Sampling Conditions, Salivary Flow, and Total Protein Content in Uric Acid Measurements in Saliva

Antioxidants ◽  
2019 ◽  
Vol 8 (9) ◽  
pp. 389 ◽  
Author(s):  
Jorge M. González-Hernández ◽  
Lorena Franco ◽  
David Colomer-Poveda ◽  
Silvia Martinez-Subiela ◽  
Ramón Cugat ◽  
...  
Keyword(s):  
Uric Acid ◽  
Total Protein ◽  
Protein Concentration ◽  
Sampling Method ◽  
Salivary Flow ◽  
Total Protein Content ◽  
Serum Samples ◽  
Adequate Sampling ◽  
Training Exercises ◽  
Level Of Effort

Uric acid (UA) is the most abundant antioxidant compound in saliva and one of the most sensitive biomarkers for detecting changes in the oxidative status of the organism. The aim of this study was to evaluate the effect of: (i) different methods of saliva sampling and (ii) the correction by salivary flow or total protein on UA concentrations in saliva. Paired saliva (collected by two different methods, passive drooling and using Salivette cotton rolls) and serum samples were obtained from 12 healthy men after the performance of two resistance training exercises of different level of effort that can produce different concentrations in UA in saliva. There were no significant differences between values of uric acid in saliva using Salivette and passive drool. Correlations between UA in serum and saliva and increases in UA in saliva after exercise were detected when saliva samples were obtained by passive drool and Salivette and were not corrected by salivary flow or total protein concentration. Therefore for UA measurements in saliva it would not be recommended to normalize the results by salivary flow or protein concentration. This study highlights the importance of choosing an adequate sampling method selection as well as the expression of results when analytes are measured in saliva.

Changes in Blood Chemistry of Juvenile Steelhead Trout, Salmo gairdneri, Following Sublethal Exposure to Nitrogen Supersaturation

1974 ◽  
Vol 31 (12) ◽  
pp. 1953-1957 ◽  
Author(s):  
T. W. Newcomb
Keyword(s):  
Alkaline Phosphatase ◽  
Uric Acid ◽  
Lactate Dehydrogenase ◽  
Total Protein ◽  
Total Bilirubin ◽  
Blood Chemistry ◽  
Salmo Gairdneri ◽  
Steelhead Trout ◽  
Serum Samples ◽  
Serum Glutamic Oxalacetic Transaminase

Groups of juvenile steelhead trout (Salmo gairdneri) were exposed for 35 days to various (103, 105, 110, and 116%) sublethal nitrogen plus argon saturations. Pooled serum samples were analyzed for Ca, Na, PO4, K, Cl, albumin, total protein, cholesterol, alkaline phosphatase, glucose, urea, uric acid, total bilirubin, lactate dehydrogenase, and serum glutamic oxalacetic transaminase. An increase in serum potassium and phosphate, and a decline in serum albumin, calcium, cholesterol, total protein and alkaline phosphatase were noted in steelhead exposed to 116% nitrogen (N2 + Ar) saturation (total atmospheric gas saturation 110%). No major changes in blood chemistry were observed at nitrogen saturations of 110% or less.

Multicomponent Assay for Human Serum Using Mid-Infrared Transmission Spectroscopy Based on Component-Optimized Spectral Region Selected by a First Loading Vector Analysis in Partial Least-Squares Regression

2002 ◽  
Vol 56 (5) ◽  
pp. 625-632 ◽  
Author(s):  
Yoen-Joo Kim ◽  
Gilwon Yoon
Keyword(s):  
Uric Acid ◽  
Spectral Region ◽  
Partial Least Squares Regression ◽  
Cross Validation ◽  
Hdl Cholesterol ◽  
Vector Analysis ◽  
Percentage Error ◽  
Least Squares Regression ◽  
Infrared Transmission ◽  
Mid Infrared

Mid-infrared transmission spectroscopy with partial least-squares regression was used to determine the concentrations of blood components such as total protein, albumin, globulin, total cholesterol, HDL (high density lipoprotein) cholesterol, triglycerides, glucose, BUN (blood urea nitrogen), and uric acid in human serum. The optimal spectral region for each component was selected by first loading vector analysis. Positive peaks with positive value were assigned by first loading vector analysis. Because blood components in serum show a correlation among several components, a useful spectral region for predicting a particular component was selected such that its spectral feature was not overlapped by those of other components. Several regions with positive peaks by first loading vector were used to establish calibration models. The proposed method proved to be effective for a multicomponent assay and can also be used even when a single component spectrum in aqueous solution for all components is not known. Total protein, albumin, globulin, total cholesterol, triglycerides, and glucose have a mean percentage error of cross-validation (MPECV) of less than 5%. But HDL cholesterol, BUN, and uric acid have MPECVs between 12 and 18%. In terms of both the percentage error of cross-validation and clinically allowable error, six serum components, excepting HDL-cholesterol, BUN, and uric acid, were determined successfully.

Ultramicroscale Determination of Clinical Chemical Values for Blood during the First Four Days of Postnatal Life

1975 ◽  
Vol 21 (6) ◽  
pp. 746-750 ◽  
Author(s):  
Larissa deBaare ◽  
Jean Lewis ◽  
Helen Sing
Keyword(s):  
Alkaline Phosphatase ◽  
Uric Acid ◽  
Total Protein ◽  
Inorganic Phosphorus ◽  
Postnatal Life ◽  
Total Proteins ◽  
Blood Constituents ◽  
Clinical Chemical ◽  
Term Newborns

Abstract Ultramicro procedures requiring 5-10 µl of serum or blood per analysis were used in determining blood constituents of healthy full-term newborns during the first four days of life. The resulting values appeared to be influenced by age, sex, and race. Values for total protein, albumin, urea nitrogen, and uric acid in serum decreased with time; serum inorganic phosphorus and whole-blood aldosaccharoses increased. Serum from females had higher values than that from males for total proteins, albumin, and inorganic phosphorus. The values for serum calcium and alkaline phosphatase were consistently higher in Negro than in white infants; values for uric acid were higher in the latter.

Profile of Admission Chemical Data by Multichannel Automation: An Evaluative Experiment

1966 ◽  
Vol 12 (3) ◽  
pp. 137-143 ◽  
Author(s):  
D Jean Bryan ◽  
Judith L Wearne ◽  
Alberto Viau ◽  
A Wendell Musser ◽  
Fred W Schoonmaker ◽  
...  
Keyword(s):  
Carbon Dioxide ◽  
Uric Acid ◽  
Total Protein ◽  
Chemical Data ◽  
Routine Laboratory ◽  
Carbon Dioxide Content ◽  
Sodium Potassium ◽  
Clinical Chemical ◽  
Hospital Patients ◽  
Calcium Phosphorus

Abstract In an experiment comparing the clinical chemical data obtained for incoming hospital patients from samples of blood submitted to the routine laboratory and from samples analyzed automatically, a multichannel analyzer was employed. The constituents determined, chosen on the basis of the frequency with which they were ordinarily requested, were glucose, urea, sodium, potassium, chloride, carbon dioxide content, calcium, phosphorus, total protein, albumin, and uric acid. In a significant fraction of the patients admitted at three different hospitals the profile of admission chemical determinations indicated abnormal values which had not been sought by the physician and which often were of direct help to him and benefit to the patient.

scholarly journals Oxidant – antioxidant status and some biochemical parameters in pregnant and non pregnant Iraqi she camels

2011 ◽  
Vol 35 (2) ◽  
pp. 46-51
Author(s):  
Hayder A.N. AL-Zamely
Keyword(s):  
Lipid Peroxidation ◽  
Uric Acid ◽  
Total Protein ◽  
Biochemical Parameters ◽  
Antioxidant Status ◽  
Pregnant Female ◽  
Albumin Concentration ◽  
Uric Acid Concentration ◽  
Serum Samples ◽  
Blood Samples

This study was carried out to determine the changes in oxidant – antioxidant status and some biochemical parameters in pregnant Iraqi female camels in comparison with non pregnant one. To determine this objective (30) blood samples from pregnant female camels and (30) blood samples from non pregnant female camels was taken at last state of pregnancy (number of animals are 30 in each group) , blood samples were put in the test tubes contain anticoagulant (EDTA) , after centrifugation serum samples were taken for measurement of Malondialdehyde (MDA) , albumin , uric acid , total protein , alkaline phosphatase and urea concentrations.The results revealed significant increase (P < 0.05) in malon dialdehyde concentration in pregnant female camels in comparison with non pregnant. Also the results were showed insignificant decrease in albumin concentration and significant increase (P <0.05) in uric acid concentration in pregnant group which may be due to its antioxidant activity against lipid peroxidation during pregnancy. In related to the biochemical parameters the results were showed significant decrease (P <0.05) in the total protein of pregnant female camels which may be due to decrease in albumin concentration, while there is significant increase (P <0.05) in ALP.

Simultaneous Monitoring of Febuxostat and Uric Acid in Human Serum Samples Using the Direct Square-Wave Voltammetric Method

2019 ◽  
Vol 15 (6) ◽  
pp. 678-684
Author(s):  
Biljana Nigović ◽  
Jakov Vlak
Keyword(s):  
Uric Acid ◽  
Human Serum ◽  
Oxidase Inhibitor ◽  
Serum Samples ◽  
Boron Doped Diamond ◽  
Fast Analysis ◽  
Xanthine Oxidase Inhibitor ◽  
Voltammetric Method ◽  
Square Wave ◽  
Human Serum Samples

Background: High uric acid serum level, hyperuricemia, is now associated with many diseases such as gout, chronic kidney disease, hypertension, coronary artery disease and diabetes. Febuxostat is a novel selective xanthine oxidase inhibitor approved for the treatment of hyperuricemia. Objective: The aim of this study was to develop a first analytical method for the simultaneous determination of febuxostat and uric acid. Methods: An unmodified boron-doped diamond electrode provided concurrent quantitation of drug at low levels and uric acid, which has clinical significance in the diagnosis and therapy of hyperuricemia, at relatively high concentrations. The direct square-wave voltammetric method was applied to the analysis of both analytes in human serum samples. Results: Under the optimized conditions, the linear response of peak current on febuxostat concentration was achieved in the range from 7.5 × 10-7 to 3 × 10-5 M, while uric acid showed two linear ranges of 5 × 10-6 - 5 × 10-5 M and 5 × 10-5 - 2 × 10-4 M. The method was successfully utilised for quantification of both analytes in human serum samples. Good recoveries were obtained without interference from common inorganic cations and anions as well as glucose, dopamine, ascorbic and folic acids at concentrations expected in physiological conditions. Conclusion: The great benefits of developed method are fast analysis (only 7.5 s for run), low cost and simplicity of performance.

Sign in / Sign up

Export Citation Format

Share Document