AIMC Topic: Spectrum Analysis, Raman

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Machine learning-assisted SERS detection of pyrethroid pesticides in edible fungi using a magnetic nanosensor.

Mikrochimica acta
Pyrethroid pesticide residues pose a significant global public health challenge, particularly in complex edible fungus matrices where trace, structurally similar pesticides are difficult to distinguish and detect. To address this critical gap, a nove...

ML-Driven Pharmaceutical Cocrystal Technology: Advances in Screening, Property Prediction and Applications.

AAPS PharmSciTech
Recently, pharmaceutical cocrystal technology has garnered considerable global attention because of its innovativeness and environmental sustainability. This technology effectively enhances the bioavailability of poorly soluble drugs and optimizes th...

Accuracy of AI-based raman spectroscopy in the diagnosis of gastric cancer: a systematic review and meta-analysis.

Lasers in medical science
Gastric cancer (GC) remains a significant global health challenge with high mortality rates, often due to late-stage diagnosis. We hypothesize that Raman spectroscopy (RS) (a modern minimally invasive technique that uses light to analyze the molecula...

Characterizing DPPM inhibition of butyrylcholinesterase: integrated enzymatic kinetics and Raman spectroscopy with chemometric analysis.

The Analyst
Butyrylcholinesterase (BChE) may serve as a scavenger enzyme protecting against various toxic compounds, but we still don't fully understand how it interacts with fentanyl analogues. We investigated how Despropionyl -methyl fentanyl (DPPM) inhibits e...

Boosting living spore identification: Kolmogorov-Arnold network-guided convolutional neural network combined with laser tweezers Raman spectroscopy.

The Analyst
As primary carriers of foodborne and zoonotic diseases, spores can pose a serious threat to food microbiology and human disease. Thus, the precise identification of spores is of great significance for ensuring food safety and human health. Herein, ...

Minimally Invasive, Label-Free, Point-of-Care Histopathological Diagnostic Platform of Malignant Tumors of the Female Reproductive System Based on Raman Spectroscopy and Machine Learning.

The journal of physical chemistry letters
Fast intraoperative histopathology is critical for optimal surgery in ovarian, endometrial and cervical cancers, yet frozen-section pathology is slow and resource-intensive. We obtained 4750 Raman spectra from 85 human gynecological tissue specimens ...

Quantification of spp. using fluorescence and SERS spectroscopy for bloodstream infection diagnosis.

Journal of materials chemistry. B
Bloodstream infections caused by spp. are among the leading hospital-acquired infections, but their diagnosis remains slow and challenging with conventional culture-based methods, which often require days to deliver results. This study aimed to deve...

Integrating AI-assisted SERS Biosensing and Photoactivated Antibacterial Therapy in Au@CuSe for Combating Multidrug-Resistant Bacteria.

Analytical chemistry
The escalating global crisis of multidrug-resistant (MDR) bacteria demands innovative strategies that bypass conventional antibiotic limitations. This study introduced a multifunctional Au@CuSe core-shell nanoplatform integrating artificial intellige...

DyeSPY: Establishing the First Forensic SERS Reference for Hair Dye Colorant Evidence.

Analytical chemistry
Hair dyeing is a widespread practice with potential forensic value in individual identification, yet most analytical approaches are destructive, time-intensive, or lack sensitivity for trace residues. Surface-enhanced Raman spectroscopy (SERS) offers...

Early diagnosis of transient ischemic attack facilitated by SERS-based artificial intelligence sensors.

Mikrochimica acta
Transient ischemic attack (TIA) serves as a critical early warning sign for ischemic stroke. Its timely identification holds significant clinical value in reducing recurrence risk and improving patient prognosis. However, existing detection methods e...