Estimation of serum uric acid by high performance liquid chromatography with electrochemical detection

Pachla, Lawrence A.; Kissinger, Peter T.

doi:10.1016/0009-8981(75)90006-6

Cited by 42 publications

(7 citation statements)

References 14 publications

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“…Urate was esti mated by the method of Pachla and Kissinger [10] which was adapted as described previously. The accuracy and specificity of the method as applied to samples from rats were the same as described for samples from Cebus monkeys [14].…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Renal Handling of Urate by Nondiuretic and Diuretic Rats

Roch-Ramel¹,

Granges²,

Roth³

et al. 1979

Kidney Blood Press Res

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Section: Methodsmentioning

confidence: 99%

“…In 1975, Pachla and Kissinger [10] re ported a new method for the estimation of urate based on high performance liquid chro-niatography and electrochemical detection. This method has been applied in a micro puncture study of urate excretion in the Cebus monkey in which it was found to be suf ficiently sensitive, accurate and specific [14].…”

Section: Introductionmentioning

confidence: 99%

Renal Handling of Urate by Nondiuretic and Diuretic Rats

Roch-Ramel¹,

Granges²,

Roth³

et al. 1979

Kidney Blood Press Res

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show abstract

“…Uric acid was measured by URCA method used on Dimension ® clinical chemistry system, an in vitro diagnostic intended for the quantitative determination of uric acid in human serum and plasma (Siemens healthcare diagnostics Inc. Newark, DE 19714, U.S.A). The uric acid method is a modification of the uricase method first reported by Bilger and Johns (later modified by Kalckar) (Slaunwhite et al 1975;Pachla and Kissinger 1975). Uric acid, which absorbs light at 293 nm is converted by uricase to allantoin, which is non-absorbing at 293 nm.…”

Section: Laboratory Samples Collection and Data Retrievalmentioning

confidence: 99%

Effect of Serum Uric Acid in Augmentation of Insulin Secretion and Improvement of HbA1c in Diabetic Patients: Proposed Statistical Regression Models for Uric Acid, HbA1c and Insulin

Aziz¹

2014

DIAB

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Currently serum uric acid is not considered a metabolic biomarker in diabetes. The purpose of the current study was to find the significant associations, correlations and to develop regression models between uric acid, HbA1c, and serum insulin among diabetic patients. The study enrolled type-1 and type-2 diabetic patients for 30 months. For HbA1c and uric acid, patients were divided into two groups: HbA1c <7% or HbA1c ≥7%, UA < 6.5 mg/dl or UA ≥ 6.5mg/dl, respectively. For measurement of insulin levels, patients on diet/metformin only were selected. Data for 1205 patients were analyzed which included 754 (62.6%) males, 451 (37.4%) females, 92 (7.6%) type-1, and 1113 (92.4%) type-2diabetic subjects. For the group HbA1c < 7%, uric acid levels were higher (mean 5.8±4.7) as compared to HbA1c > 7% (mean 4.8±1.5); for the group UA < 6.5 mg/dl, serum insulin levels were lower (mean 39±15.7) as compared to the group with UA≥ 6.5 mg/dl (mean 73.4±20.5). Uric acid was significantly and inversely correlated with HbA1c (r =-0.13, p-value < 0.0001) and positively correlated with serum insulin (r = 0.293, p-value = 0.005). Regression models for uric acid and HbA1c was found to be HbA1c = 10.235 + (-0.094 × uric acid); p-value < 0.000 and for uric acid with insulin was observed to be Serum insulin =-9.650 + (11.595 × uric acid); p-value 0.005. Higher levels of uric acid are associated with lower HbA1c both in type-1 and type-2 diabetic patients. Uric acid is involved in the augmentation of insulin secretion in type-2 subjects.

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“…Therefore, a reliable and convenient portable device for analysis of uric acid is necessary for the detection and diagnosis of the above-reported syndromes in humans. To date, distinct analytical approaches have been applied, including HPLC [ 8 , 9 , 10 ], electrochemical methods [ 11 , 12 ], fluorescence probes [ 13 ], and the enzyme method [ 14 ] for the reliable detection and quantification of uric acid. Among these uric acid detection methods, the electrochemical technique of voltammetry has more potential than others.…”

Section: Introductionmentioning

confidence: 99%

An Efficient Enzyme-Less Uric Acid Sensor Development Based on PbO-Doped NiO Nanocomposites

2022

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Here, the voltammetric electrochemical approach was applied to detect uric acid (UA) in a conductive sensing medium (phosphate buffer solution-PBS) by using PbO-doped NiO nanocomposites (NCs)-decorated glassy carbon electrode (GCE) performing as working electrode. The wet-chemically prepared PbO-doped NiO NCs were subjected to characterization by the implementation of XRD, FESEM, XPS, and EDS analysis. The modified GCE was used to detect uric acid (UA) in an enzyme-free conductive buffer (PBS) of pH = 7.0. As the outcomes of this study reveal, it exhibited good sensitivity of 0.2315 µAµM−1cm−2 and 0.2233 µAµM−1cm−2, corresponding to cyclic (CV) and differential pulse (DPV) voltammetric analysis of UA, respectively. Furthermore, the proposed UA sensor showed a wider detection (0.15~1.35 mM) range in both electrochemical analysis methods (CV & DPV). In addition, the investigated UA sensor displayed appreciable limit of detection (LOD) of 41.0 ± 2.05 µM by CV and 43.0 ± 2.14 µM by DPV. Good reproducibility performance, faster response time and long-time stability in detection of UA were perceived in both electrochemical analysis methods. Finally, successful analysis of the bio-samples was performed using the recovery method, and the results were found to be quite acceptable in terms of accuracy. Thus, the findings indicate a reliable approach for the development of 5th generation biosensors using metal-oxides as sensing substrate to fulfill the requirements of portable use for in situ detection.

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Estimation of serum uric acid by high performance liquid chromatography with electrochemical detection

Cited by 42 publications

References 14 publications

Renal Handling of Urate by Nondiuretic and Diuretic Rats

Renal Handling of Urate by Nondiuretic and Diuretic Rats

Effect of Serum Uric Acid in Augmentation of Insulin Secretion and Improvement of HbA1c in Diabetic Patients: Proposed Statistical Regression Models for Uric Acid, HbA1c and Insulin

An Efficient Enzyme-Less Uric Acid Sensor Development Based on PbO-Doped NiO Nanocomposites

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