Factors that Affect Quantification in Surface-Enhanced Raman Scattering

ACS Nano, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 24, 2025

Surface-enhanced Raman scattering (SERS) is an analytical technique capable of detecting trace amounts specific species. The uniqueness vibrational signatures a major advantage SERS. This combination sensitivity and specificity has motivated researchers to develop diverse methodologies leveraging However, even 50 years after its first observation, SERS still perceived as unreliable for quantification. perception precluded the application in laboratories that rely on consistent quantification (for regulatory purposes, instance). In this review, we describe some aspects lead intensity variations how those challenges were addressed technique. goal identify sources intensities then demonstrate that, with these pitfalls, can be used when factors such nature substrate, experimental conditions, sample preparation, surface chemistry, data analysis are carefully considered tailored particular application.

Language: Английский

---

Application of machine learning strategies in screening transition metal oxide based ozonation catalysts for BAA degradation

Journal of Water Process Engineering, Journal Year: 2025, Volume and Issue: 71, P. 107411 - 107411

Published: March 1, 2025

Language: Английский

---

Raman Spectroscopy of Fullerenes: From C60 to Functionalized Derivatives

Molecules, Journal Year: 2025, Volume and Issue: 30(3), P. 738 - 738

Published: Feb. 6, 2025

Fullerenes, a unique allotrope of carbon, have captured significant attention in multiple scientific fields. As non-destructive characterization technique, Raman spectroscopy has proven indispensable for investigating fullerenes and their derivatives, offering detailed insights into vibrational properties. This review discusses the broad utility revealing structural physicochemical characteristics fullerenes—from iconic C60 molecule to an array its derivatives—highlighting capacity detect functionalization-induced changes molecular structure electronic properties, while also assessing environmental influences such as solvent effects temperature variations. Particular emphasis is placed on advanced Raman-based techniques, including enhanced spectroscopy, surface-enhanced (SERS), tip-enhanced (TERS), derivatives. These cutting-edge methods offer high sensitivity ultra-high spatial resolution, greatly expanding scope fullerene research delivering deeper functional

Language: Английский

---

AI in SERS sensing moving from discriminative to generative

Deleted Journal, Journal Year: 2025, Volume and Issue: 2(1)

Published: Feb. 21, 2025

Abstract This perspective discusses the present and future role of artificial intelligence (AI) machine learning (ML) in surface-enhanced Raman scattering (SERS) sensing. Our goal is to guide reader through current applications, mainly focused on discriminative approaches aimed at developing new improved SERS diagnostic capabilities, towards AI sensing, with use generative design materials biomaterials.

Language: Английский

---

First Vibrational Fingerprint of Parietaria judaica Protein via Surface-Enhanced Raman Spectroscopy

Biosensors, Journal Year: 2025, Volume and Issue: 15(3), P. 182 - 182

Published: March 13, 2025

Accurate identification and characterization of allergenic proteins at the molecular level are essential for pinpointing specific protein structures responsible allergic reactions, thus advancing development precise diagnostic tests. Significant efforts have been focused on novel experimental techniques aimed deepening understanding underlying mechanisms these reactions. In this work, we show, first time to our knowledge, unique Raman fingerprint three Parietaria judaica (Par j) proteins. These typically present in pollen known trigger severe respiratory diseases. research, further exploited surface-enhanced scattering (SERS) effect from an Ag dendrite substrate. This approach provided better discrimination a comprehensive analysis Par j 1, 2, 4 hydration conditions, enabling rapid differentiation between them through spectroscopic study.

Language: Английский

---

Machine learning-guided ATR-FTIR for in-depth analysis of graphene oxide dispersions

Diamond and Related Materials, Journal Year: 2025, Volume and Issue: unknown, P. 112352 - 112352

Published: April 1, 2025

Language: Английский

---

Silver nanowire/gold nanosphere binary plasma-assembled membranes for sensitive SERS detection of homocysteine

Microchimica Acta, Journal Year: 2024, Volume and Issue: 192(1)

Published: Dec. 26, 2024

Language: Английский

---