Selection of appropriate protein assay method for a paper microfluidics platform

Pokhrel, Pravin; Jha, Shashank; Giri, Basant

doi:10.1016/j.plabm.2020.e00166

Cited by 21 publications

(40 citation statements)

References 32 publications

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“…Our findings confirm the results presented in [ 14 ], which indicated that the tetrabromophenol blue method provides the best analytical parameters for protein determination on paper (the pyrogallol red method was not included in the referenced study). However, the limit of quantification obtained in [ 14 ] for the TBPB assay equal to 2900 mg·L −1 does not allow for urinary protein determination in a clinically relevant range.…”

Section: Resultssupporting

confidence: 91%

“…Surprisingly, neither Bradford nor BCA-Cu(II) assays generated any measurable color change when transferred from conventional spectrophotometry to paper-based sensor. Pokhrel et al [ 14 ] recommended performing the Bradford assay on glass microfiber instead of paper. However, we found this remedy to be insufficient to solve the problem of a lack of color change.…”

Section: Resultsmentioning

confidence: 99%

“…However, we found this remedy to be insufficient to solve the problem of a lack of color change. When it comes to the BCA-Cu(II) protein determination method, the limit of quantification for this assay performed on paper was reported to be 1200 mg·L −1 [ 14 ], which is above the range of interest for urinary protein determination. Moreover, in the cited work, the sample was introduced first and the reagent was added afterwards, which makes this assay unsuitable for on-site sensing.…”

Section: Resultsmentioning

confidence: 99%

“…Surprisingly, we found that two commonly used protein assays do not give any measurable color change when performed within the paper matrix. Owing to a careful condition optimization, the obtained analytical parameters for protein determination methods significantly exceed the ones presented in [ 14 ]. The best performing protein assay was then used for protein measurement to determine the protein to creatinine ratio while creatinine was quantified according to our previous study [ 17 ] with 3,5-dinitrobenzoic acid.…”

Section: Introductionmentioning

confidence: 99%

“…Citterio’s group reported a text-displaying paper-based analytical device for semiquantitative urinary protein determination [ 13 ]. Last but not least, a comparison between six protein assays was performed to select the one with the best analytical parameters [ 14 ].…”

Section: Introductionmentioning

confidence: 99%

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Smartphone-Assisted Protein to Creatinine Ratio Determination on a Single Paper-Based Analytical Device

Lewińska¹,

Kurdziałek²,

Tymecki³

2021

Molecules

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Proteinuria is a condition in which an excessive amount of protein is excreted in urine. It is, among others, an indicator of kidney disease or risk of cardiovascular disease. Rapid and reliable diagnosis and monitoring of proteinuria is of great importance for both patients and their physicians. For that reason, a paper-based sensor for proteinuria diagnosis was designed, optimized, and validated utilizing smartphone-assisted signal acquisition. In the first step, a few commonly employed protein assays were optimized and compared in terms of analytical performance on paper matrix. The tetrabromophenol blue method was selected as the one providing a sufficiently low limit of detection (39 mg·L−1) on the one hand and appropriate long-term stability (up to 3 months) on the other hand. The optimized assay was employed for protein-to-creatinine ratio (PCR) determination on a single paper-based sensor. For both analytes the linear ranges were within the clinically relevant range. The analytical usefulness of the developed sensors was demonstrated by a PCR recovery study in artificial urine. The obtained PCR recoveries were from ca. 80 to 150%.

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Section: Resultssupporting

confidence: 91%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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