Raman Spectroscopy Research Articles

Investigation of Structural and Radiative Properties of Pr3+ doped Telluroborate Glasses

This paper reports the preparation and structural studies of Pr3+-doped telluroborate (TEB) glasses. The report aims to analyze combined Raman, Fourier transform infrared (FTIR), optical and fluorescence spectra of Pr3+-doped TEB glasses and it was synthesized using the melt quenching technique with glass system (50–x)B2O3.20TeO2.15Mg2CO3. 15K2CO3.xPr6O11 where x varies as 0, 0.4, 0.5, 1 and 1.5 mol%. The samples exhibited a glassy appearance with a broad X-ray diffraction hump. Differently doped glasses were studied structurally using FTIR and Raman spectroscopy. The Judd-Ofelt intensity parameters, extracted from the optical absorption spectra of Pr3+, elegantly unveil the intricate bonding environment surrounding the Pr3+ ions. To assess Pr3+-doped TEB glass radiative properties, some important spectroscopic parameters were computed. Here TEB glass having doping concentration 0.4 mol% exhibits higher stimulated emission cross-section (σe = 19.37×10−20 cm2) and figure of merit (723.96×10−26 cm2.s) values which indicate its suitability for laser applications. The study includes estimating colour coordinates to evaluate white light emission in Pr3+-doped glasses, showcasing their potential for white light emitting diode applications.

Synthesis of nitrogen-doped carbon dot/tin disulfide nanosheet composite electro-catalysts for dye-sensitized solar cells.

Nitrogen-doped carbon dots (N-CDs) and vertically-grown tin disulfide (SnS2) nanosheets are synthesized via hydrothermal method and chemical vapor deposition technique, respectively. The SnS2nanosheets are directly fabricated on flexible carbon cloth (CC), and then their basal planes are decorated with N-CDs. The as-prepared composite electrodes are used as the counter electrode for the application in dye-sensitized solar cells (DSSCs). The characterizations of N-CDs and SnS2nanosheets are studied by high resolution transmission electron microscopy, scanning electron microscopic, energy dispersive x-ray spectrometer, Raman spectrometer and x-ray photoelectron spectroscopy etc. Moreover, the cyclic voltammetry (CV), electrochemical impedance spectroscopy (EIS), and photocurrent-density voltage are utilized to understand the electro-catalytic performance of N-CDs/SnS2/CC composite counter electrode. The N-CDs/SnS2/CC composite electrode shows higher cathodic reduction current density and lower charge transfer resistance in CV and EIS measurements, respectively, as compared to those of the electrodes with N-CDs or SnS2alone. Meanwhile, the DSSC using N-CDs/SnS2/CC exhibits cell efficiency (η) of 7.68%, which is higher than those of cells having SnS2/CC (η= 7.54%) and N-CDs/CC (η= 5.66%) counter electrodes, respectively; it also reaches 94% cell efficiency of the cell using Pt/CC counter electrode (η= 8.15%). The design concept of the modification of the basal planes by defect-rich carbon dots (i.e. N-CDs) and highly-exposed edge sites (i.e. vertically-grown SnS2nanosheets) makes promising route to enhance the performance of two-dimensional electro-catalysts.

Ultra-Sensitive Abscisic Acid Detection Using Gold and 4-Mercaptopyridine Perovskite-Engineered Robust Nanofibers (GLAMPER-NFs) under Surface-Enhanced Raman Spectroscopy.

This study explores the development and application of gold and 4-mercaptopyridine (MPY) perovskite-engineered robust nanofibers (GLAMPER-NFs) for the ultrasensitive detection of Abscisic acid (ABA) under Raman spectroscopy, a crucial plant hormone. The GLAMPER-NFs composite material, consisting of MAPbCl3 nanofibers integrated with MPY-coated gold nanostructures, demonstrates exceptional performance in surface-enhanced Raman scattering (SERS)-based sensing. The study elucidates the material structure and properties through comprehensive characterization using scanning electron microscopy (SEM), UV-vis spectroscopy, fluorescence spectroscopy, Fourier transform infrared, and Raman spectroscopy. The SEM analysis reveals uniform nanofibers with diameter of 107.8 ± 3.06 nm, while spectroscopic studies confirm the successful synthesis and integration of the composite components. The SERS-based detection of ABA showcases remarkable sensitivity, with a linear detection range (R2 = 0.9957) spanning 7 orders of magnitude (10-14-10-7 M) and presented a limit of detection of 10-11 and enhancement factor of 1.08 × 107. This surpasses the performance of existing sensing platforms, demonstrating clear spectral responses even at femtomolar concentrations. The synergistic effects of the perovskite structure, plasmonic gold nanoparticles, and MPY linking molecules contributed exceptional sensing capabilities to the GLAMPER-NFs material. Fluorescence studies further corroborate the sensitivity and provide insights into the photophysical interactions between ABA and the composite material. This research advances the understanding of perovskite-based hybrid materials and presents a promising GLAMPER-NFs as SERS substrate for ultrasensitive plant hormone detection, with potential applications in agricultural monitoring and plant science research.

Transcriptome-aligned metabolic profiling by SERSome reflects biological changes following mesenchymal stem cells expansion

BackgroundMesenchymal stem cells (MSCs) are widely applied in the treatment of various clinical diseases and in the field of medical aesthetics. However, MSCs exhibit greater heterogeneity limited stability, and more complex molecular and mechanistic characteristics compared to conventional drugs, making rapid and precise monitoring more challenging.MethodsSurface-enhanced Raman spectroscopy (SERS) is an ultrasensitive, tractable and low-cost fingerprinting technique capable of identifying a wide range of molecules related to biological processes. Here, we employed SERS for reproducible quantification of ultralow concentrations of molecules and utilized spectral sets, termed SERSomes, for robust and comprehensive intracellular multi-metabolite profiling.ResultsWe revealed that with increasing passage number, there is a gradual decline in cell expansion efficiency, accompanied by significant changes in intracellular amino acids, purines, and pyrimidines. By integrating these metabolic features detected by SERS with transcriptomic data, we established a correlation between SERS signals and biological changes, as well as differentially expressed genes.ConclusionIn this study, we explore the application of SERS technique to provide robust metabolic characteristics of MSCs across different passages and donors. These results demonstrate the effectiveness of SERSome in reflecting biological characteristics. Due to its sensitivity, adaptability, low cost, and feasibility for miniaturized instrumentation throughout pretreatment, measurement, and analysis, the label-free SERSome technique is suitable for monitoring MSC expansion and offers significant advantages for large-scale MSC manufacturing.

Ni-Co MOF Flowers/ZnO NRs Mediated Electrochemical Sensor for Rapid and Ultrasensitive Detection of Neotame in Food Samples

Abstract This study focuses on the bioreduction of waste-derived graphite rods into reduced graphene oxide(rGO), followed by the fabrication with Ni-Co metal-organic flowers and Zinc oxide nanorods(ZnO NRs) using Nafion, for sensitive detection of neotame. The Ni-Co metal-organic flowers and ZnO NRs were synthesized using solvothermal synthesis and Azadirachta indica leaf extract, respectively. Additionally, Nafion polymer enhances the stability and conductivity of the nanocomposite. The nanocomposite was characterized using UV-Vis, Fourier transform infrared spectorscopy, X-ray diffraction, Raman spectroscopy, dynamic light scattering, X-ray photoelectron spectroscopy, field-emission scanning electron microscopy, energy-dispersive X-ray analsysis, transmission electron microscopy, and atomic force microscopy. The electrochemical studies were carried out using electrochemical impedance spectroscopy and cyclic voltammetry. The modified electrode (rGO/Nafion/Ni-Co MOF/ZnO NRs) demonstrated improved electrochemical activity (34.01µA) for neotame with an enhanced peak current at +0.73V. The LOD and LOQ values were calculated and found to be 0.32 and 0.99 µM with a recovery (%) ranging from 94.50 to 101.34%. The outcome of this study identifies the morphological and electrochemical factors as major contributors to the adsorption affinities and catalytical activities, with promising possibilities for the design of electrochemical sensing of artificial sweeteners.

Surfactant-Free w/o Gelled Emulsions with Benzyl Alcohol: Analytical Study for Varnish Removal on Oil Paintings

In this study, the use of surfactant-free water-in-oil gelled emulsions containing benzyl alcohol (BAl/w) is proposed as an alternative to the more traditional use of organic solvents for removing varnishes. To mitigate the strong swelling and solvent action of benzyl alcohol and protect the paint and the underlying layers, temporary hydrophobization with cyclomethicone D5 has been proposed. The aim of this study was to evaluate the application of BAl/w surfactant-free, constructed with three different gelling agents of the aqueous dispersing phase (xanthan gum, agar-agar, and polyacrylate) on the surface of an oil painting varnished with and without preliminary saturation with D5. The role of pH, which can influence the ionization, and therefore the water solubility of terpene molecules and all other acid species present on the surface, was also studied. Fourier transform infrared (FT-IR) and Raman spectroscopies were used to characterize the pigments and the surface before and after varnish removal. Elemental analysis and any morphological changes were evaluated using scanning electron microscopy coupled with energy-dispersive X-ray spectroscopy (SEM-EDS). The leaching efficiency of each surfactant-free emulsion applied on the paint surface was evaluated using a gas chromatography/mass spectroscopy (GC/MS) analysis: the fatty acid content was established in each sample before and after the treatments.

Antisense oligonucleotides as a targeted therapeutic approach in model of acute myeloid leukemia.

The genetic and epigenetic alterations observed in acute myeloid leukemia (AML) contribute to its heterogeneity, influencing disease progression response to therapy, and patient outcomes. The use of antisense oligonucleotides (ASOs) technology allows for the design of oligonucleotide inhibitors based on gene sequence information alone, enabling precise targeting of key molecular pathways or specific genes implicated in AML. Midostaurin, a FLT3 specific inhibitor and ASOs targeting particular genes, exons, or mutations was conducted using AML models. This ASOs treatment was designed to bind to exon 7 of the MBNL1 (muscleblind-like) gene. Another target was the FLT3 gene, focusing on two aspects: (a) FLT3-ITD (internal tandem duplication), to inhibit the expression of this aberrant gene form, and (b) the FLT3 in general. Treated and untreated cells were analyzed using quantitative PCR (qPCR), dot blot, and Raman spectroscopy. This study contrasts midostaurin with ASOs that inhibit FLT3 protein production or its isoforms via mRNA degradation. A trend of increased FLT3 expression was observed in midostaurin-treated cells, while ASO-treated cells showed decreased expression, though these changes were not statistically significant. In AML, exon 7 of MBNL1 is involved in several cellular processes and in this study, exon 7 of MBNL1 was targeted for method optimization, with the highest block of the exon 7 gene variant observed 48h post-transfection. Midostaurin, a multitargeted kinase inhibitor, acts against the receptor tyrosine kinase FLT3, a critical molecule in AML pathogenesis. While midostaurin blocks FLT3 signaling pathways, it paradoxically increases FLT3 expression.

Enhancement of the Cytokine Adsorption Capacity of Octacalcium Phosphate by Interaction-Controlled Glycosaminoglycan Modification to Promote Osteoblastic Differentiation.

This study was designed to investigate how the strength of the interaction between octacalcium phosphate (OCP) and modified chondroitin-A sulfate (CS-A), a glycosaminoglycan, regulates the adsorption-desorption of cytokines and subsequently affects the osteoblastic differentiation of mesenchymal stem cells (MSCs) in vitro. The utilization of cytokines produced by cells, such as macrophages, stimulated by the hydrolysis of OCP, is expected to enhance the bone regeneration capacity of the OCP. CS-Na was used to modify CS-A on the OCP immobilized with the amino group through electrostatic interactions. On the other hand, N-hydroxysuccinimide (NHS)-esterified CS-A was used to form the covalent bond between CS-A and the amino group on the surface of OCP. X-ray diffraction and Raman spectroscopy indicated that the CS-A-modified OCP maintained its structure, regardless of the modification process. The remaining ratio of the modified CS-A in the buffer suggests that increasing the immobilized density of the amino group and the modification using NHS ester may enhance interaction strength between OCP and CS-A. The adsorption amount and retention rate of recombinant human bone morphological protein-2 (rhBMP-2, an endogenous cytokine model) increased onto CS-A-modified OCP under physiological conditions when the interaction strength between OCP and the protein was stronger. The higher interaction strength between the OCP and CS-A could be associated with the enhanced adsorption affinity for the lower-molecular-weight basic protein. The alkaline phosphatase activity of MSCs increased depending on the remaining rate of rhBMP-2 adsorption on the CS-A-modified-OCP. Fourier transform infrared spectroscopy and chemical analysis indicated that the hydrolysis of the OCP progressed regardless of CS-A modification after MSC incubation. The present study suggests that stronger interactions between the OCP and glycosaminoglycans could contribute to the capture and retention of endogenous cytokines on the surface to further promote osteoblastic differentiation under the chemical environment induced by the hydrolysis of the OCP.

Sliding Wear Behavior of WP7V Tool Steel with Different Hardnesses Under Reciprocating Test Rig

This study involved the investigation of the mechanical and tribological behaviors of DIN 1.2344 and WP7V tool steels, quenched in a salt bath after austenitization at 1050 °C, followed by triple tempering for 2 h. The selection of tempering temperatures produced two hardness levels under four metallurgical conditions, with the hardest level found only for WP7V steel (54 and 57 HRC). The mechanical properties were evaluated using Rockwell C, Vickers, and nanoindentation methods, along with unnotched impact tests, according to the SEP 1314 guidelines. Wear tests were conducted in a tribometer configured for a reciprocating setup, with a frequency of 5 Hz, a load of 25 N, and a time of 60 min, at room temperature and at 200 °C. As counterbodies, alumina balls of 5 mm in diameter were used. Wear tracks were evaluated through scanning electron microscopy, EDS, interferometry, and Raman spectroscopy. Friction and wear behaviors were affected by the variation in temperature for softer steels (DIN 1.2344 and WP7V of 48.5 HRC): the higher the temperature, the better the tribological performance. The harder steels were not sensitive to temperature testing. These effects depend on maintaining iron oxide (hematite) at the point of contact. The wear rates determined for the hardest material (57 HRC), considering its impact resistance, make it unsuitable for severe conditions such as hot stamping.

Mixed Pt-Ni Halide Perovskites for Photovoltaic Application

Cs2PtI6 is a promising photoabsorber with a direct bandgap of 1.4 eV and a high carrier lifetime; however, the cost of Pt inhibits its commercial viability. Here, we performed a cost analysis and experimentally explored the effect of replacing Pt with earth-abundant Ni in solution-processed Cs(PtxNi1−x)(I,Cl)3 thin films on the properties and stability of the perovskite material. Films fabricated with CsI and PtI2 precursors result in a perovskite phase with a bandgap of 2.13 eV which transitions into stable Cs2PtI6 with a bandgap of 1.6 eV upon annealing. The complete substitution of PtI2 in films with CsI + NiCl2 precursors results in a wider bandgap of 2.35 eV and SEM shows two phases—a rod-like structure identified as CsNi(I,Cl)3 and residual white particles of CsI, also confirmed by XRD and Raman spectra. Upon extended thermal annealing, the bandgap reduces to 1.65 eV and transforms to CsNiCl3 with a peak shift to higher 2-theta. The partial substitution of PtI2 with NiCl2 in mixed 50-50 Pt-Ni-based films produces a bandgap of 1.9 eV, exhibiting a phase of Cs(Pt,Ni)(I,Cl)3 composition. A similar bandgap of 1.85 eV and the same diffraction pattern with improved crystallinity is observed after 100 h of annealing, confirming the formation of a stable mixed Pt-Ni phase.

Photo-physical mechanism of near-IR femtosecond laser-induced refractive-index change in PMMA

Micromodification in bulk undoped polymethylmethacrylate (PMMA) by single focused (numerical aperture (NA) = 0.25), 1030-nm 250-fs laser pump pulses was explored by pump self-transmittance; optical, 3D-scanning confocal photoluminescence (PL); Raman micro-spectroscopy; and optical polarimetric and interferometric microscopy. Starting from the threshold pulse energy Eth = 0.4 ± 0.1 μJ (peak laser intensity Ith ≈ 8 TW/cm2), visible bright micro-voxels emerged inside PMMA at the 100 ÷ 300-μm depth, with their PL-acquired dimensions increasing versus pulse energy. Optical phase change was interferometrically measured in the voxels at the 532-nm wavelength, exhibiting versus the pulse energy the isotropic refractive index increase Δn = +(4 ÷ 10) × 10−4, and a new 1640-cm−1 peak of C=C vibrations emerged in the Raman spectra. Pump self-transmittance measurements demonstrated the predominating eight-photon absorption (excited energy level ≈ 9.7 eV, coefficient β8 ≈ 3 × 10−5 cm13/TW7) at the sub-threshold I < Ith, implying photoionization of the PMMA chains (the ionization potential of MMA molecule ≈ 9.7 eV). At higher peak intensities I > Ith, inverse brems-strahlung absorption (coefficient ∼103cm−1) of near-critical micro-plasma (density >5 × 1020 cm−3) predominates over the multi-photon PMMA absorption, providing the bulk energy density >6 × 102 J/cm3 and the temperature rise ΔT > 2.2 × 102 K, which are sufficient for PMMA (de)polymerization near the equilibrium bulk temperature TP ≈ 220°C. These results uncover the quantitative mechanism of fs-laser modification of PMMA, justifying the previous qualitative findings and enabling controllable energy deposition during fs-laser PMMA micromachining of diverse functional applications.

Revisiting Na[C(CN)3] – refinement of the crystal structure from X-ray powder diffraction data, the Raman and IR spectra

Abstract The crystal structure of sodium tricyanomethanide Na[C(CN)3] has been confirmed by Rietveld refinement of X-ray powder diffraction data. Additionally, Raman and IR spectra of the title compound have been recorded exhibiting spectra in good agreement with those of other tricyanomethanides. Despite Na[C(CN)3] and K[C(CN)3] crystallizing both in the triclinic space group P 1 ‾ $\overline{1}$ (no. 2), with seemingly similar unit cell parameters, it is demonstrated that they are clearly not isotypic compounds.

Fundamental Insights into Copper-Epoxy Interfaces for High-Frequency Chip-to-Chip Interconnects.

Future processes and materials are needed to enable multichip packages with chip-to-chip (C2C) data rates of 50 GB/s or higher. This presents a fundamental challenge because of the skin effect, which exacerbates signal transmission losses at high frequencies. Our results indicate that smooth copper interconnects with relatively thin cuprous oxides (Cu2O, CuI) and amine-functional silane adhesion promoters improve interfacial adhesion with epoxy dielectrics by nearly an order of magnitude. For the first time, we present X-ray photoelectron spectroscopy (XPS) and Raman spectroscopy evidence of Cu(I)-O-Si bond formation at silane-treated interfaces. Thus, relatively smooth interconnects can benefit from reduced skin losses while maintaining their mechanical integrity and reliability. Failure mechanisms of Cu interconnects with cuprous and cupric oxide (CuO, CuII) are explored using scanning electron microscopy (SEM) and Auger electron spectroscopy (AES). These results indicate that both cupric oxides and relatively thick cuprous oxide interfaces lead to relatively weaker interfaces compared with thin cuprous oxides with adhesion promoters.

Inkjet-Printed Graphene–PEDOT:PSS Decorated with Sparked ZnO Nanoparticles for Application in Acetone Detection at Room Temperature

This work presents a simple process for the development of flexible acetone gas sensors based on zinc oxide/graphene/poly(3,4-ethylenedioxythiophene)-poly(styrenesulfonate). The gas sensors were prepared by inkjet printing, which was followed by a metal sparking process involving different sparking times. The successful decoration of ZnO nanoparticles (average size ~19.0 nm) on the surface of the graphene–PEDOT:PSS hybrid ink was determined by characterizations, including Raman spectroscopy, Fourier transform infrared spectroscopy, field-emission transmission electron microscopy, X-ray photoelectron spectroscopy, and X-ray diffractometry. The ZnO nanoparticle-decorated graphene–PEDOT:PSS with a sparking time of 2 min exhibited the highest response of 71.9% at 10 ppm of acetone, above those of samples treated with other sparking times and the undecorated control. In addition, the optimal sensor revealed high selectivity for acetone over several other kinds of gases, such as ammonia, toluene, dimethylformamide, ethanol, methanol, and benzene, at room temperature. The gas sensor also revealed a low limit of detection (0.4 ppm), high sensitivity (6.18 ppm−1), and high stability (5-week long-term) to acetone. The response and recovery times of the sensor were found to be 4.6 min and 4.2 min, respectively. The acetone-sensing mechanism was attributed to the formation of p-n heterojunctions, which were responsible for the significantly enhanced sensitivity.

Creation of Flexible Heterogeneously-Doped Carbon Nanotube Paper PN Diodes to Enhance Thermoelectric and Photovoltaic Effects

This study investigates the fabrication and characterization of flexible PN diode devices using phosphorus- and boron-doped carbon nanotube (CNT) paper, also known as Buckypaper (BP). The BP substrate is fabricated from multi-walled carbon nanotubes (MWCNTs) and doped with phosphorus and boron to form N-type and P-type semiconductors, respectively. Various experimental techniques, including Raman spectroscopy, Hall effect measurements, and scanning electron microscopy (SEM), are employed to analyze the properties of the doped BP. The results reveal that the current-voltage (I-V) and capacitance-voltage (C-V) characteristics preliminarily exhibit the basic electrical properties of a diode after doping with P-type and N-type carriers. Subsequently, optimized vertical stacking combined with parallel electrode configurations for the BP diode devices demonstrates that vertical series stacking gradually enhances the thermoelectric voltage, while horizontal parallel connections approximately scale up the thermoelectric and photovoltaic voltages proportionally. The findings underscore the critical role of creating heterogeneously doped CNT-paper PN junction electric fields in improving the performance of carbon-based semiconductor devices. Furthermore, we demonstrate that these directionally oriented energy devices, when stacked, can form modular systems with enhanced efficiency. This work highlights the potential of flexible carbon material-based devices for advanced thermoelectric and photovoltaic applications.

A Novel Label-Free Method for Efficient Detection of Bisphosphonate Drug Dissolution Rates Using Surface-Enhanced Raman Spectroscopy.

We developed a novel method utilizing surface-enhanced Raman spectroscopy (SERS) with calcium ion-modified silver nanoparticles as the enhancing substrate. This approach enables label-free detection of the dissolution rate of bisphosphonates. This technique is fast, sensitive, and highly reproducible, significantly advancing drug quality control. Experimental results demonstrated detection limits for etidronate, alendronate, and risedronate as low as 1 ng/mL. Notably, this method accurately identifies characteristic drug peaks without interference from excipients, allowing for precise quantitative detection. In summary, our SERS-based method offers a simple, efficient, and reliable approach for the qualitative and quantitative quality control of bisphosphonate drugs.

Evaluation of Spatial Distribution of Crystallinity Induced by Local Heating Using Low-Frequency Raman Spectroscopy on Polyether Ether Ketone (PEEK)

Local heating was performed on a thermoplastic polymer film by contact with the tip of a soldering iron heated above the glass-transition temperature. The locally heated area was measured using microscopic Raman scattering spectroscopy, and the spatial distribution of the crystallinity was obtained from the low-frequency peak. The crystallinity distribution can be evaluated using the microscale spatial resolution. The temperature distribution around the locally heated area was calculated by applying the heat conduction equation, and good correspondence was obtained with the obtained crystallinity.

Physical Adsorption and Raman Spectra of Hydrazine Hydrate on the Graphene Surface.

In experimental studies, hydrazine hydrate is widely employed as a reducing agent for the conversion of graphene oxide to graphene. Herein, we conducted theoretical calculations using cluster models to investigate the adsorption behavior of hydrazine hydrate on the surface of graphene. The calculated adsorption energy reveals that hydrazine hydrate can physically bind to the graphene surface. Our findings indicate that two hydrogen bonds stabilize the hydrazine hydrate molecule, while its adsorption onto the graphene surface is primarily driven by van der Waals forces. By combining computational simulations and experimental measurements, we thoroughly examined the Raman spectra of both free and adsorbed hydrazine hydrates, which enabled us to gain detailed insights into their molecular vibrations. Notably, in the Raman spectra of free hydrazine hydrate, a strong peak at around 3300 cm-1 corresponds to the NH2 vibration. Similarly, peaks near 3300 cm-1 were observed in the Raman spectra of graphene with adsorbed hydrazine hydrate molecules. The results are expected to provide valuable references for future experimental investigations involving hydrazine hydrate.

Large Scale Raman Spectrum Calculations in Defective 2D Materials using Deep Learning.

We introduce a machine learning prediction workflow to study the impact of defects on the Raman response of 2D materials. By combining the use of machine-learned interatomic potentials, the Raman-active $\Gamma$-weighted density of states method and splitting configurations in independant patches, we are able to reach simulation sizes in the tens of thousands of atoms, with diagonalization now being the main bottleneck of the simulation. We apply the method to two systems, isotopic graphene and defective hexagonal boron nitride, and compare our predicted Raman response to experimental results, with good agreement. Our method opens up many possibilities for future studies of Raman response in solid-state physics.

Lighting the Path: Raman Spectroscopy’s Journey Through the Microbial Maze

The rapid and precise identification of microorganisms is essential in environmental science, pharmaceuticals, food safety, and medical diagnostics. Raman spectroscopy, valued for its ability to provide detailed chemical and structural information, has gained significant traction in these fields, especially with the adoption of various excitation wavelengths and tailored optical setups. The choice of wavelength and setup in Raman spectroscopy is influenced by factors such as applicability, cost, and whether bulk or single-cell analysis is performed, each impacting sensitivity and specificity in bacterial detection. In this study, we investigate the potential of different excitation wavelengths for bacterial identification, utilizing a mock culture composed of six bacterial species: three Gram-positive (S. warneri, S. cohnii, and E. malodoratus) and three Gram-negative (P. stutzeri, K. terrigena, and E. coli). To improve bacterial classification, we applied machine learning models to analyze and extract unique spectral features from Raman data. The results indicate that the choice of excitation wavelength significantly influences the bacterial spectra obtained, thereby impacting the accuracy and effectiveness of the subsequent classification results.