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Record W2798232953 · doi:10.1149/ma2018-01/43/2503

Development of Portable Electrochemical Enzyme Immunoassay for Hormone-Level Determination Utilizing Pencil-Lead Electrodes

2018· article· en· W2798232953 on OpenAlexaff
Hsiu-Yang Tseng, Zhendong Cao, Katrina G. Salvante, Pablo A. Nepomnaschy, Ash M. Parameswaran

Bibliographic record

VenueECS Meeting Abstracts · 2018
Typearticle
Languageen
FieldEngineering
TopicElectrochemical sensors and biosensors
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsElectrodeCyclic voltammetryChemistryImmunoassayWorking electrodeElectrochemistryBiosensorReference electrodeAnalytical Chemistry (journal)ChromatographyBiochemistry

Abstract

fetched live from OpenAlex

Electrochemical detection or analysis of bio-molecules is an effective technique in laboratories due to its simplicity over conventional optical approaches. The technique is usually performed using three-electrode voltammetry composed of a working, counter and reference electrode that are made of noble metals. Graphite electrodes are major alternatives for resource-limiting experimental conditions such as point-of-care diagnostics and rapid screening, which would require disposable electrodes. To further reduce the cost of graphite-based electrodes for personal hormone-level monitoring in which several sampling activities are needed each day in months, pencil leads are proposed as an electrode material in this paper. Competitive-based enzyme immunoassay (EIA) is a method for the quantification of hormones, which is performed in a 96-well plate where the plate surface is coated with a capturing antibody in charge of hormone binding. Target hormones in the sample and artificial hormones conjugated with a peroxidase compete for limited binding sites on the plate surface. Peroxidase is an enzyme catalyzing the oxidation by hydrogen peroxide of 3, 3', 5, 5'-Tetramethylbenzidine (TMB), an electro-active redox dye indicator. The low-level hormone in the sample would lead to a high signal of oxidized TMB due to the large presence of the conjugated peroxidase, and vice versa. In this paper, the use of pencil leads allows a direct dip-in process to measure electrochemical signals from tested solution in a 96-well plate. Our work presents a portable enzyme immunoassay system that contains an electrochemical voltammetry composed of a three-electrode sensor module, potentiostat and data acquisition. The devices are intended for generic employment in the quantification of cortisol, a steroid hormone and indicator of human stress level. The three-electrode sensors were developed based on mechanical pencil-leads. We also report the preparation of Ag/AgCl reference electrodes, for the first time, fabricated by directly casting and chemically modifying silver epoxy on pencil-lead electrodes to form Ag/AgCl layers. The electrochemical properties of the redox indicator, TMB, were studied by cyclic voltammetry. The enzymatic activity of peroxidase was evaluated to indicate its linear characteristics in terms of time. The amperometric responses of varying concentration of cortisol samples (3200, 800, 400, 200, and 0 pg/ml) were obtained by our system. The results are consistent to the mechanism of competitive-based EIA in which a low amount of oxidized TMB should be measured due to a low amount of conjugated peroxidase molecules captured by the antibody is in presence if the cortisol level of a test sample is high. The non-linear relationship between the peak current values and cortisol concentration of samples at low and high concentration range was demonstrated indicating diffusion-limited reactions. The electrochemical enzyme immunoassay was for the first time performed using the pencil-lead based sensors as presented in this paper. The results promise that the proposed electrochemical assay is able to quantify hormone levels and serve as an ultra-low-cost biosensing system for point-of-care diagnostics and personal health monitoring. Figure 1

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.022
GPT teacher head0.243
Teacher spread0.220 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreMethods

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2018
Admission routes1
Has abstractyes

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