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Record W4403411469 · doi:10.1016/j.sintl.2024.100304

Molecular engineering of a fluorescent probe for highly efficient detection of human serum albumin in biological fluid

2024· article· en· W4403411469 on OpenAlexaff
Raja Chinnappan, Tanveer Ahmad Mir, Shanmugam Easwaramoorthi, Gopika Sunil, Ancy Feba, Kanagasabai Balamurugan, Shadil Ibrahim Wani, Maram N. Sandouka, Alaa Alzhrani, Sandhanasamy Devanesan, Mohamad S. AlSalhi, Naresh Kumar Mani, Wael Al-Kattan, Ahmed Yaqinuddin, Abdullah M. Assiri, Dieter C. Bröering

Bibliographic record

VenueSensors International · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Interaction Studies and Fluorescence Analysis
Canadian institutionsUniversité du Québec à Montréal
FundersKing Faisal Specialist Hospital and Research Centre
KeywordsBiological fluidsFluorescenceSerum albuminAlbuminHuman serum albuminChemistryChromatographyBiochemistryOpticsPhysics

Abstract

fetched live from OpenAlex

Human serum albumin (HSA) is synthesized by the liver, accounting for 60 % of total plasma protein in vertebrates' blood. It is the most predominant extracellular plasma protein that acts as a repository and transporter of exogenous and endogenous substances in the blood of healthy humans. Decreased albumin concentration in the human body or its abnormal levels indicate the occurrence of hepatic, renal, and digestive-related diseases. Therefore, accurate quantification of HSA is of great significance in diagnostic testing and routine clinical analysis of albumin-linked diseases. Herein, a class of triphenylamine rhodanine-3-acetic acid (mRA)-a bifunctional fluorescent molecule with twisted intramolecular charge transfer (TICT)-induced emission characteristics is synthesized and employed as a novel sensing probe for the fluorescent detection of human albumin. mRA can be selectively lighted up through site-specific interactions with serum albumin-binding moieties and show enhanced photophysical or biological response efficacy. Understanding the interaction of mRA with HSA at the molecular level was carried out using docking methodology to explore the site-specific interaction phenomenon. The resulting fluorescence strategy produced a dose-dependent signal response enhancement upon interaction with HSA in the concentration range of 0.01–400 μg/ml. The sensor probe exhibits a low detection limit of 10 ng/mL and is found to be a feasible, low-cost, and effective approach for HSA analysis in complex biological fluids for early detection and diagnosis of albumin-related diseases. Human serum albumin (HSA) levels in plasma are one of the important indicators of liver function. HSA-induced Turn-on fluorescence emission of Triphenylamine rhodanine-3-acetic acid (mRA) exploited for the quantitative detection of HSA. The affinity and selective binding of mRA with HSA have been demonstrated. • A simple fluorescence-based quantitative detection of Human serum albumin has been demonstrated •Triphenylamine rhodanine-3-acetic acid (mRA)- with twisted intramolecular charge transfer (TICT)- employed as a novel sensing probe • A fifty-fold enhancement in the fluorescence of the probe dye by HSA facilitates the low limit of detection •The probe dye has high affinity and specificity for HSA without any cross-reactivity of other closely associated biomolecules. •This method has been used for the analysis of the biological fluid derived from liver cancer cell supernatants

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)0.000
metaresearch head score (Gemma)0.000
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.268
Teacher spread0.259 · 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
GenreEmpirical

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".

Quick stats

Citations6
Published2024
Admission routes1
Has abstractyes

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