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Spectrometry, Fluorescence

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A Green Synchronous Fluorescence Analysis Approach for Simultaneous Determination of the Co-formulated Antihypertensives, Bisoprolol, and Amlodipine. Application to Plasma Samples, Market Formulations, Content Uniformity Test, and Greenness Evaluation.

Luminescence : the journal of biological and chemical luminescence
In this study, we present a direct, sensitive, and green spectrofluorimetric approach for simultaneous measurement of bisoprolol fumarate (BSL) and amlodipine besylate (AMD) in their tablets and plasma. This approach measures the synchronized fluores...

Machine Learning-Assisted Chemical Tongues Based on Dual-channel Inclusion Complexes for Rapid Identification of Nonsteroidal Anti-inflammatory Drugs in Food.

ACS sensors
The improper application of nonsteroidal anti-inflammatory drugs (NSAIDs) presents significant health hazards via vector food contamination. A critical limitation of these traditional existing approaches is their inability to concurrently discern and...

Integration of the fluorescence based portable device with the AI tools for the real-time monitoring of oral mucosal lesions.

Scientific reports
There is a need for non-invasive, sensitive, real-time, and user-friendly optical devices integrated with artificial intelligence (AI) based tools for the detection of oral mucosal lesions at early stage. Research on the development of optical device...

Deep machine learning-assisted MOF@COF fluorescence/colorimetric dual-mode intelligent ratiometric sensing platform for sensitive glutathione detection.

Talanta
Glutathione (GSH) levels have been linked to aging and the pathogenesis of various diseases, highlighting the necessity for the development of sensitive analytical methods for GSH to facilitate disease diagnosis and treatment. In this study, we synth...

Ratiometric, 3D Fluorescence Spectrum with Abundant Information for Tetracyclines Discrimination via Dual Biomolecules Recognition and Deep Learning.

Analytical chemistry
Tetracyclines are widely used in bacteria infection treatment, while the subtle chemical differences between tetracyclines make it a challenge to accurate discrimination via biosensors. A 3D fluorescence spectrum can provide fingerprint structure inf...

Rapid diagnosis of lung cancer by multi-modal spectral data combined with deep learning.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Lung cancer is a malignant tumor that poses a serious threat to human health. Existing lung cancer diagnostic techniques face the challenges of high cost and slow diagnosis. Early and rapid diagnosis and treatment are essential to improve the outcome...

Machine learning-assisted ratiometric fluorescence sensor array for recognition of multiple quinolones antibiotics.

Food chemistry
Developing analytical methods for simultaneous detection of multiple antibiotic residues is crucial for environmental protection and human health. In this study, a dual lanthanide fluorescence probe (GDP-Eu-Tb) based on nucleotides has been designed....

Single-Component Double-Emissive Ratiometric Probe: Toward Machine Learning Driven Detection and Discrimination of Neurological Biomarkers.

Analytical chemistry
This study presents an attractive single-component ratiometric fluorescent sensor that utilizes the oxidation of BSA-protected Au nanoclusters (BSA-Au NCs) by -Bromosuccinimide (NBS) to detect catecholamine neurotransmitters and their metabolites, wh...

Fluorescence-based spectrometric and imaging methods and machine learning analyses for microbiota analysis.

Mikrochimica acta
Most microbiota determination (skin, gut, soil, etc.) are currently conducted in a laboratory using expensive equipment and lengthy procedures, including culture-dependent methods, nucleic acid amplifications (including quantitative PCR), DNA microar...