Simple sequential injection analysis system for rapid determination of microalbuminuria

Laiwattanapaisal, Wanida; Kunanuvat, Usakorn; Intharachuti, Wichabhorn; Chinvongamorn, Chakorn; Hannongbua, Supot; Chailapakul, Orawon

doi:10.1016/j.talanta.2009.02.020

Cited by 10 publications

(3 citation statements)

References 21 publications

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“…19), which shows that it has the highest sensitivity because of being strongest catalytic amplification, so it was selected to measure mAlb. Compared with the reported mAlb analysis method (Table S3), [31][32][33][34][35][37][38][39] this method is highly sensitive and easy to operate, and it is one of the best methods for detecting mAlb.…”

Section: Working Curvementioning

confidence: 99%

A new SERS strategy for quantitative analysis of trace microalbuminuria based on immunorecognition and graphene oxide nanoribbon catalysis

Wen

Liang

et al. 2018

IJN

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BackgroundMicroalbuminuria (mAlb) detection is essential for the diagnosis and prognosis of nephrotic patients and hypoproteinemia. In this article, we develop a new surface-enhanced Raman scattering (SERS) quantitative analysis method to detect mAlb in urine.MethodsCombined the mAlb immunoreaction with gold nanoreaction of graphene oxide nanoribbons (GONR)-HAuCl4-H2O2, and used Victoria blue B (VBB) as molecular probe with a SERS peak at 1,615 cm−1, a new SERS strategy for quantitative analysis of trace mAlb in urine was established.ResultsThe linear range of SERS quantitative analysis method is from 0.065 to 2.62 ng/mL, with a detection limit of 0.02 ng/mL. The SERS method was applied to analysis of mAlb in urine with good accuracy and reliability, the relative standard deviation is 0.49%–2.28% and the recovery is 96.9%–109.8%.ConclusionThis study demonstrated that the new SERS quantitative analysis method is of high sensitivity, good selectivity and simplicity. It has been applied to analysis of mAlb in urine, with satisfactory results.

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Section: Working Curvementioning

confidence: 99%

A new SERS strategy for quantitative analysis of trace microalbuminuria based on immunorecognition and graphene oxide nanoribbon catalysis

Wen

Liang

et al. 2018

IJN

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“…With respect to food applications, greatly advantageous SIA-system characteristics have been offered, including an easy adaptation to different analytical situations without the need for a physical reconfiguration, an automated sample injection, and a controlled dispersion. The SIA system allows for a choice of different types of liquid driver, a reproducible timing, a great capacity in relation to the solution-handling operations, and it is more flexible for its application in stopped-flow and reversed-flow operations [ 16 , 17 ]. To our knowledge, however, an automated determination of the saccharin concentration for which a SIA system is employed has not been reported; therefore, a simple and rapid SIA method for a quantitative determination of the saccharin concentration in food-product samples is proposed in the present paper.…”

Section: Introductionmentioning

confidence: 99%

Development of a Sequential Injection Analysis System for the Determination of Saccharin

Wibowotomo

Eun

Rhee

2017

Sensors

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Saccharin is a powerfully sweet nonnutritive sweetener that has been approved for food-processing applications within the range of 100–1200 mg/kg. A simple, rapid, and cost-effective sequential injection analysis (SIA) technique was developed to determine the saccharin level. This method is based on the reaction of saccharin with p-chloranil in an ethanol medium with a hydrogen peroxide (H2O2) acceleration, and the resultant violet-red compound was detected using a UV-Vis spectrophotometer at λmax = 420 nm. To ascertain the optimal conditions for the SIA system, several parameters were investigated, including buffer flow rate and volume, p-chloranil concentration, and reactant volumes (saccharin, p-chloranil, and H2O2). The optimum setup of the SIA system was achieved with a buffer flow rate, buffer volume, and draw-up time of 1.2 mL/min, 2900 µL, and ~145 s, respectively. The optimal p-chloranil concentration is 30 mM, and the best reactant volumes, presented in an ordered sequence, are as follows: 30 µL of H2O2, 450 µL of saccharin, and 150 µL of p-chloranil. The optimized SIA configuration produced a good linear calibration curve with a correlation coefficient (R2 = 0.9812) in the concentration range of 20–140 mg/L and with a detection limit of 19.69 mg/L. Analytical applications in different food categories also showed acceptable recovery values in the range of 93.1–111.5%. This simple and rapid SIA system offers great feasibility for the saccharin quality control in food-product processing.

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“…9 Recently, Laiwattanapaisal et al reported a simple and sensitive sequential injection analysis of microalbuminuria with fluorescent detection using Albumin Blue-580. 10 However, neither the light scattering nor the fluorescent detection methods are applicable to Point-of-care testing. More sensitive screening tests are required to pre-select the samples for early diagnosis, requiring neither sophisticated instrumentation nor laboratory skill.…”

Section: Introductionmentioning

confidence: 99%

Spot test of urinary protein using Erythrosin B and a membrane film

Kaneko

Yasuda²,

Higurashi³

et al. 2010

Analyst

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Point-of-care testing is currently one of the subjects of growing interest in analytical chemistry. Elevated levels of urinary protein imply renal failure, which is one of the world's biggest public health problems. In spite of the urgent necessity for a screening test of protein in urine, there are no reports of a simple yet sensitive method for its detection. In this study, we developed a new visual method, using Erythrosin B and a cellulose acetate membrane film as the substrate for a new spot test of urinary protein in the presence of poly(ethylene glycol) (PEG). The noteworthy point of our work is that when a drop of dye-protein solution containing PEG is set on a membrane film, a red ring-shaped stain of the dye-bound protein is formed on the film surface. PEG plays a significant role in eliminating the reagent blank, thus providing a clear contrast. Measurements taken using a dynamic light scattering particle size analyzer indicated that the underlying mechanism of this contrast is brought about by the different sizes of the excess dye and dye-protein particles. The visual detection limit is 0.5 mg dm(-3) for human serum albumin (HSA), the main protein in urine. Our visual method is sufficiently sensitive to detect urinary protein even for healthy subjects, providing a higher sensitivity than test strips by a factor of 60-200. When 0.15 cm(3) of urine is used to prepare 10 cm(3) of sample solution, the practical detection threshold is 30 mg dm(-3) in urine using a 67x dilution factor. The proposed method will be useful as a simple, rapid, and cost-effective screening test for the diagnosis of renal failure at an early stage.

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Simple sequential injection analysis system for rapid determination of microalbuminuria

Cited by 10 publications

References 21 publications

A new SERS strategy for quantitative analysis of trace microalbuminuria based on immunorecognition and graphene oxide nanoribbon catalysis

A new SERS strategy for quantitative analysis of trace microalbuminuria based on immunorecognition and graphene oxide nanoribbon catalysis

Development of a Sequential Injection Analysis System for the Determination of Saccharin

Spot test of urinary protein using Erythrosin B and a membrane film

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