AIMC Topic: Spectrophotometry, Ultraviolet

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Fabrication of highly catalytic silver nanoclusters/graphene oxide nanocomposite as nanotag for sensitive electrochemical immunoassay.

Analytica chimica acta
Silver nanoclusters and graphene oxide nanocomposite (AgNCs/GRO) is synthesized and functionalized with detection antibody for highly sensitive electrochemical sensing of carcinoembryonic antigen (CEA), a model tumor marker involved in many cancers. ...

Discrimination of Brazilian propolis according to the seasoning using chemometrics and machine learning based on UV-Vis scanning data.

Journal of integrative bioinformatics
Propolis is a chemically complex biomass produced by honeybees (Apis mellifera) from plant resins added of salivary enzymes, beeswax, and pollen. The biological activities described for propolis were also identified for donor plant's resin, but a big...

Spectroscopic determination of the photodegradation of monovarietal extra virgin olive oils and their binary mixtures through intelligent systems.

Talanta
A common phenomenon that takes place in bottled extra virgin olive oil (EVOO) is the photooxidation of its pigments, especially chlorophyll, which acts as a singlet-oxygen sensitizer. This translates into a severe decrease of quality, potentially lea...

Artificial neural network associated to UV/Vis spectroscopy for monitoring bioreactions in biopharmaceutical processes.

Bioprocess and biosystems engineering
Currently, mammalian cells are the most utilized hosts for biopharmaceutical production. The culture media for these cell lines include commonly in their composition a pH indicator. Spectroscopic techniques are used for biopharmaceutical process moni...

Artificial neural network assisted kinetic spectrophotometric technique for simultaneous determination of paracetamol and p-aminophenol in pharmaceutical samples using localized surface plasmon resonance band of silver nanoparticles.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Spectrophotometric analysis method based on the combination of the principal component analysis (PCA) with the feed-forward neural network (FFNN) and the radial basis function network (RBFN) was proposed for the simultaneous determination of paraceta...

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...

THE EFFECT OF TOTAL AND PARTIAL NEPHRECTOMY ON THE PHARMACOKINETICS OF INTRAVENOUS PARACETAMOL IN HUMANS.

Acta poloniae pharmaceutica
Paracetamol is one of the most common analgesic and antipyretic drugs. Recently intravenous paracetamol has been widely used to treat moderate postoperative pain. Surgery is the main method of treatment of renal cancer. Total or partial nephrectomy c...

DEVELOPMENT AND VALIDATION OF FAST REVERSED-PHASE HPLC METHOD FOR ANALYSIS OF ESOMEPRAZOLE IN RABBIT PLASMA.

Acta poloniae pharmaceutica
The present study focused to develop rapid, accurate and sensitive reversed-phase high pressure liquid chromatography method for the quantification of esomeprazole (ESO) magnesium in rabbit plasma. Chromatographic separation was achieved isocraticall...

DETERMINATION OF SOTALOL, OXPRENOLOL AND LABETALOL IN BINARY MIXTURES AND IN SPIKED HUMAN SERUM BY DERIVATIVE SPECTROPHOTOMETRIC METHOD.

Acta poloniae pharmaceutica
The usefulness of derivative spectrophotometry for the determination of labetalol, sotalol and oxprenolol in binary mixtures and in human spiked serum was checked. To this aim a spectrophotometric analysis of samples in the UV range was carried out a...

Analysis of Closely Related Antioxidant Nutraceuticals Using the Green Analytical Methodology of ANN and Smart Spectrophotometric Methods.

Journal of AOAC International
Two new, simple, and specific green analytical methods are proposed: zero-crossing first-derivative and chemometric-based spectrophotometric artificial neural network (ANN). The proposed methods were used for the simultaneous estimation of two closel...