AIMC Topic: Spectrum Analysis, Raman

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Multimodal Optical Imaging Combined with Radiomic Analysis for Fibrotic Cardiac Tissue Investigation.

Analytical chemistry
Understanding the process of fibrotic scarring of the myocardium is critical for the diagnosis and risk stratification of life-threatening cardiac dysfunction. Complex changes in structure, composition, and conductivity occurring at different stages ...

Intelligent geographical origin traceability of Pu-erh tea based on multispectral feature fusion.

Food chemistry
To achieve accurate origin traceability of Pu-erh tea, this study proposes a deep learning method based on multispectral fusion. By collecting Raman and near-infrared spectral data from five major origins, an improved ECA-ResNet network structure was...

Fluorescence Guided Raman Spectroscopy enables the training of robust support vector machines for the detection of tumour marker proteins.

Scientific reports
Raman spectroscopy provides comprehensive biochemical information on a sample's composition, yet it is often used to analyze aggregated spectra rather than specific shifts. We introduce Fluorescence Guided Raman Spectroscopy (FGRS) as a methodology e...

Machine learning-assisted SERS-based dual-aptamer biosensor for ultrasensitive clinical screening of breast cancer.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Breast cancer remains a global health challenge, with an increasing number of cases necessitating innovative approaches to streamline patient management prior to treatment. In this study, we present a comprehensive aptamer-involved surface-enhanced R...

Implementing partial least squares and machine learning regressive models for prediction of drug release in targeted drug delivery application.

Scientific reports
A combined methodology was performed based on chemometrics and machine learning regressive models in estimation of polysaccharide-coated colonic drug delivery. The release of medication was measured using Raman spectroscopy and the data was used for ...

Fabrication of serum-based SERS-tailored 3D structures for thyroid cancer diagnosis.

Scientific reports
Early detection of thyroid cancer improves patient survival rate from 51.9% to 99.9%. Fine needle aspiration cytology is the primary method for diagnosing thyroid cancer; however, this method is associated with limitations, including diagnostic uncer...

Intraoperative Assessment of Parathyroidectomy Outcomes via Autoencoder-Support-Vector-Machine-Assisted Label-Free Differential SERS Spectroscopy.

Nano letters
Intraoperative guidance plays a pivotal role in enhancing surgical success rates and optimizing patients' prognosis. However, during surgery, the lack of reliable monitoring methods remains a critical challenge. Therefore, we developed an autoencoder...

Rapid and non-destructive detection of formaldehyde adulteration in shrimp based on deep learning-assisted portable Raman spectroscopy.

Food chemistry
Formaldehyde (FA), a known carcinogen, is occasionally used illegally as a preservative in seafood, while traditional detection methods for FA residues often fail to meet the practical needs for nondestructive detection. In this study, a approach was...

Detection of Polystyrene Microplastics up to the Single Nanoparticle Limit Using SERS and Advanced ANN Design (KANformer).

ACS sensors
Due to uncontrolled release, gradual accumulation, low degradation rate, and potential negative impact on human health, microplastics (MPs) pose a serious environmental and healthcare risk. Thus, the spread of MPs should be at least carefully monitor...

Protective effects of minocycline on dermal fibroblast cells from oxidant and apoptotic effects of HO: A comprehensive analysis with Raman spectroscopy and data-driven approach.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Minocycline (Mino) is an antibiotic with neuroprotective, anti-inflammatory, and antioxidant properties. This study investigated the protective effects of Mino against hydrogen peroxide (HO)-induced oxidative damage in dermal fibroblast cells and ana...