AIMC Topic: Spectrum Analysis, Raman

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All-flexible chronoepifluidic nanoplasmonic patch for label-free metabolite profiling in sweat.

Nature communications
Wearable sensors allow non-invasive monitoring of sweat metabolites, but their reliance on molecular recognition elements limits both physiological coverage and temporal resolution. Here we report an all-flexible chronoepifluidic surface-enhanced Ram...

Application of Raman spectroscopy and machine learning for determination of pro-toxicant activation in CYP2E1-expressing cells.

Analytical methods : advancing methods and applications
Developing a convenient, accurate, and cost-effective analytical method for the detection of Cytochrome P450 (CYP) mediated drug bioactivation remains a challenge. The present study proposes a method using Raman spectroscopy (RS) combined with machin...

SERS technology in virus Detection: Advances, challenges, and future perspectives.

Biosensors & bioelectronics
SERS has revolutionized viral detection with its high sensitivity and specificity. This review comprehensively explores the application progress, challenges, and future directions of SERS in viral detection. Firstly, the fundamental principles of SER...

Detection of aging-induced vascular remodeling based on Raman imaging and deep learning.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Vascular aging-related remodeling is a common pathological basis for many chronic diseases, so early detection of physical arterial aging is important for their prevention and control. Existing staining methods can only analyze a limited number of ti...

Advancing Whole-Cell Biosensors: Kinetics-Dependent Metabolic SERS Analytics for Pollutant Differentiation and Quantification.

Analytical chemistry
Whole-cell biosensors (WCBs), which detect targeting analytes through cellular responses, have become powerful tools for environmental monitoring. However, existing WCBs often rely on the single-channel low-dimension signal outputs (e.g., fluorescenc...

Predicting fracture toughness of human cortical bone from donors with and without type 2 diabetes using Raman spectroscopy and machine learning.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Type 2 diabetes mellitus (T2DM) is associated with increased skeletal fragility, yet standard clinical assessments often fail to detect diabetes-induced changes in bone quality. Raman spectroscopy (RS), a label-free and non-destructive technique, off...

Machine learning pipeline with custom grid search for colorectal Raman spectroscopy data.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Colorectal cancer remains a major health burden, and its early detection is crucial for effective treatment. This study investigates the use of a handheld Raman spectrometer in combination with machine learning to classify colorectal tissue samples c...

Single-Molecule SERS Detection of Phosphorylation in Serine and Tyrosine Using Deep Learning-Assisted Plasmonic Nanopore.

The journal of physical chemistry letters
Single-molecule detection of post-translational modifications (PTMs) such as phosphorylation plays a crucial role in early diagnosis of diseases and therapeutics development. Although single-molecule surface-enhanced Raman spectroscopy (SM-SERS) dete...

Future horizons of Raman spectroscopy in food science: Emerging techniques and innovations for enhanced analysis.

Food chemistry
Raman spectroscopy is a key technology for to ensure sustainable and efficient food safety practices owing to its non-invasive and sensitive molecular analysis. This review highlights the recent advancements in Raman-based techniques, which offer imp...

SERS-based miniaturized biosensors for alkaline phosphatase detection: Towards intelligent, real-time diagnostics in precision medicine.

Biosensors & bioelectronics
Alkaline phosphatase (ALP) is a clinically important hydrolase enzyme and a valuable biomarker for hepatobiliary diseases, metabolic bone disorders, and certain malignancies. Raman-based miniaturized sensors, particularly those employing surface-enha...