Surface-enhanced Raman spectroscopy (SERS)

A new deep learning-enhanced spectroscopic platform—SERSome—developed by researchers in China and Finland, identifies medicinal and edible homologs (MEHs) with 98% accuracy. This innovation could revolutionize safety and quality control in the growing MEH market.

Researchers are using AI-enabled Raman spectroscopy to enhance the development, administration, and response prediction of cancer immunotherapies. This innovative, label-free method provides detailed insights into tumor-immune microenvironments, aiming to optimize personalized immunotherapy and other treatment strategies and improve patient outcomes.

A recent study explored using surface-enhanced Raman spectroscopy (SERS) to detect β-agonists.

Scientists from China and Finland have developed an advanced method for detecting cardiovascular drugs in blood using surface-enhanced Raman spectroscopy (SERS) and artificial intelligence (AI). This innovative approach, which employs "molecular hooks" to selectively capture drug molecules, enables rapid and precise analysis, offering a potential advance for real-time clinical diagnostics.

A recent study highlights how anisotropic nanostructures can improve surface-enhanced Raman spectroscopy (SERS) analysis of cultural artifacts, including artwork.

Top articles published this week include a Q&A interview that discussed using surface-enhanced Raman spectroscopy (SERS) to investigate microplastics released from chewing gum and an article about Agilent’s Solutions Innovation Research Award (SIRA) winners.

A combination of surface-enhanced Raman spectroscopy (SERS) and machine learning on microfluidic chips has achieved an impressive 98.6% accuracy in classifying leukemia cell subtypes, offering a fast, highly sensitive tool for clinical diagnosis.

Researchers at the Chinese Academy of Sciences have developed an optical detection strategy for circulating tumor cells (CTCs), combining machine learning (ML) and dual-modal surface-enhanced Raman spectroscopy (SERS). This approach offers high sensitivity, specificity, and efficiency, potentially advancing early cancer diagnosis.

A recent study used surface-enhanced Raman spectroscopy (SERS) combined with chemometrics to assess polycyclic aromatic hydrocarbons (PAHs) in water.

Researchers from the University of Liege have demonstrated the potential of surface-enhanced transmission Raman spectroscopy (SETRS) for detecting impurities in pharmaceuticals. The study highlights SETRS’s superior sensitivity, precision, and efficiency in quantifying toxic impurities like 4-aminophenol (4-AP), offering a promising alternative to traditional methods.

Researchers have developed a rapid, reagent-free method to estimate the saponification value (SV) of edible oils using handheld Raman spectroscopy. This innovative approach simplifies oil quality testing, cutting time and costs while enhancing accuracy and portability.

Researchers from Stanford University have combined surface-enhanced Raman spectroscopy (SERS) with machine learning (ML) to enable rapid, precise single-cell analysis, offering potentially transformative applications in diagnostics and personalized medicine.

Researchers have developed a highly sensitive method using Raman and surface-enhanced Raman spectroscopy (SERS) with gold nanoparticles to accurately quantify intracellular cholesterol.

Researchers at Henan Agricultural University have developed a multi-channel magnetic flow device combined with surface-enhanced Raman spectroscopy (SERS) for the rapid and precise isolation, identification, and quantification of lactic acid bacteria and yeast, revolutionizing quality control in fermented food production.

Here, we present a compilation of some of the most recent studies that used Raman spectroscopy as part of their methodology.

A recent study examined using surface-enhanced Raman spectroscopy (SERS) imaging in pesticide residue detection.

A recent study examined the use of surface-enhanced Raman spectroscopy (SERS) in detecting pollutants and pesticide residues in fruits and vegetables.

Researchers from the Shanghai Institute of Technology have developed a leading-edge method using surface-enhanced Raman scattering (SERS) to accurately differentiate between amino acid enantiomers. This breakthrough could revolutionize applications in pharmaceutical synthesis, disease diagnosis, and quality control of chiral compounds.

Top articles published this week include several interviews to preview the upcoming SciX Conference, a recent study using an epidermal spectroscopic scanning (ESS) device to detect skin cancer, and a news story about machine learning for meteorite classification.

A recent study from Jiangsu University highlighted the challenges associated with the real-time application of microfluidic technology. We summarize their research here.

A recent study led by Xaolin Cao at Yantai University demonstrated a rapid and highly sensitive method using magnetic molecularly imprinted polymers combined with surface-enhanced Raman spectroscopy (MMIPs-SERS) for detecting neonicotinoid pesticides in agricultural products.

Top articles this week include how spectroscopy is being used in education, athletics, and biology.

Top articles this week on Spectroscopy covered topics such as Raman spectroscopy in cultural heritage applications, surface-enhanced Raman spectroscopy (SERS) in pesticide detection, and the impact of artificial intelligence on spectroscopy.

A recent study explores how the agriculture industry could benefit from using a new surface-enhanced Raman spectroscopy (SERS) technique to detect pesticide residue in crops.

Researchers have proposed an innovative approach to tackling fluorescence interference in Raman spectroscopy by using LEGO blocks as standard samples. This new method offers a low-cost, rugged, and reproducible alternative to the complex liquid mixtures traditionally used in such studies, marking a significant advancement in the field of spectroscopic analysis.

A recent study looks at how surface-enhanced Raman spectroscopy (SERS) can be used as a tool for noninvasive detection.

A recent study examined how surface-enhanced Raman spectroscopy (SERS) is being used to help diagnose pancytopenia-related diseases earlier.

The emergence of artificial intelligence (AI) has revolutionized spectroscopic techniques, including surface-enhanced Raman spectroscopy (SERS).

Researchers have developed a new substrate for surface-enhanced Raman spectroscopy (SERS) using two-dimensional amorphous titanium dioxide/silver (a-TiO2/Ag) nanosheets. This innovation promises significantly higher sensitivity and better uniformity in detecting various substances, potentially transforming applications in analytical spectroscopy and materials science.

A recent study examined how surface-enhanced Raman spectroscopy (SERS) can characterize parallel double-stranded DNA (dsDNA).