Literature DB >> 30340690

Batch injection analysis towards auxiliary diagnosis of periodontal diseases based on indirect amperometric detection of salivary α-amylase on a cupric oxide electrode.

Paulo T Garcia1, Anderson A Dias1, João A C Souza2, Wendell K T Coltro3.   

Abstract

This study describes, for the first time, the use of a batch injection analysis system with amperometric detection (BIA-AD) to indirectly determine salivary α-amylase (sAA) levels in saliva samples for chronic periodontitis diagnosis. A chemical/thermal treatment was explored to generate a CuO film on a Cu electrode surface. This procedure offered good stability (RSD = 0.3%), good repeatability (RSD < 1.3%) and excellent reproducibility (RSD < 1.5%). The sAA concentration levels were determined based on the detection of maltose produced by enzymatic hydrolysis of starch. The analytical performance was investigated, and a linear correlation was observed for a maltose concentration range between 0.5 and 6.0 mmol L-1 with a correlation coefficient equal to 0.999. The analytical sensitivity and the limit of detection were 48.8 μA/(mmol L-1) and 0.05 mmol L-1, respectively. In addition, the proposed system provided an excellent analytical frequency (120 analysis h-1). The clinical feasibility of the proposed method was investigated by the determination of sAA levels in four saliva samples (two from healthy control persons (C1 and C2) and two from patients with chronic periodontitis (P1 and P2)). The accuracy provided by the BIA-AD system ranged from 93 to 98%. The sAA concentration levels achieved for each sample were compared to the values found by spectrophotometry and there was no statistically significant difference between them at a confidence level of 95%. Finally, the method reported herein emerges as a simple, low cost and promising tool for assisting periodontal diseases diagnosis.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biomarkers; Chronic periodontitis; Clinical diagnostics; Electrochemistry; Point-of-care testing

Mesh:

Substances:

Year:  2018        PMID: 30340690     DOI: 10.1016/j.aca.2018.08.039

Source DB:  PubMed          Journal:  Anal Chim Acta        ISSN: 0003-2670            Impact factor:   6.558


  4 in total

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Review 4.  Batch injection analysis in tandem with electrochemical detection: the recent trends and an overview of the latest applications (2015-2020).

Authors:  Marek Haššo; Ľubomír Švorc
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  4 in total

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