Raman Spectroscopy Research Articles

Spectrometers of Neutrons and Fast Atoms of Tokamak Thermonuclear Plasma Based on CVD Synthesized Diamond Single-Crystal Films

High radiation resistance, chemical inertness, the ability to operate at elevated temperatures, high mobility and efficiency of charge-carrier collection are important properties of diamond for designing detectors and spectrometers of ionizing radiation. Currently, diagnostics of neutrons and neutral particle fluxes based on diamond detectors for the ITER thermonuclear reactor are justified and developed. This work presents the results of a Raman spectroscopy and photoluminescence spectroscopy study of the electronic quality of synthesized epitaxial diamond films obtained by vapor deposition in a hydrogen and methane mixture in the ARDIS reactor on boron-doped single-crystal diamond substrates. To confirm their electronic quality, detectors have been made from films selected by spectrometric methods and the charge collection efficiency and energy resolution have been measured when irradiated with alpha particles from a 241Am source and 14.7 MeV fast neutrons from the ING-07T2 neutron generator.

Qualitative Identification and Adulteration Quantification of Extra Virgin Olive Oil Based on Raman Spectroscopy Combined with Multi-task Deep Learning Model

Qualitative Identification and Adulteration Quantification of Extra Virgin Olive Oil Based on Raman Spectroscopy Combined with Multi-task Deep Learning Model

Real-Space Spectral Determination of Short Single-Stranded DNA Sequence Structures.

Resolving the sequence and structure of flexible biomolecules such as DNA is crucial to understanding their biological mechanisms and functions. Traditional structural biology methods remain challenging for the analysis of small and disordered biomolecules, especially those that are difficult to label or crystallize. Recent development of single-molecule tip-enhanced Raman spectroscopy (TERS) offers a label-free approach to identifying nucleobases in a single DNA chain. However, a clear demonstration of sequencing both spatially and spectrally at single-base resolution is still elusive due to the challenges caused by weak Raman signals and the flexibility of DNA molecules. Here, we report a proof-of-principle demonstration to this end, spectrally resolving in real space individual nucleobases and their sequence structures within a short, single-stranded DNA molecule artificially designed. This breakthrough is achieved through the development of subnanometer-resolved low-temperature TERS methodology for such thermally unstable flexible biomolecules. Further TERS mapping over individual nucleobases provides additional structural information about the molecular configurations and even the locations of functional groups, offering a way to track modification types and binding sites in biomolecules.

Experimental study of flexible sensors based on ultraviolet nanosecond laser induced graphene

Current laser-induced graphene (LIG) methods encounter challenges such as subpar graphene quality and intricate manufacturing of electronic devices using graphene. In order to tackle these issues, this paper proposes a method of using an ultraviolet nanosecond pulse laser to stimulate the formation of graphene. Polyimide (PI) is subjected to laser irradiation in a single step to produce high-quality porous graphene. Subsequently, low-cost flexible pressure and strain sensors are manufactured using graphene. The Raman spectroscopy results demonstrate that the graphene generated has excellent quality (ID/IG = 0.14, I2D/IG = 0.37). Scanning electron microscopy shows that the LIG surface has a uniform porous morphology, with a patterning precision of 100 μm and a sheet resistance of 9.29 Ω/sq. The performance of the flexible pressure sensor was evaluated, demonstrating precise sensitivity (0.75 KPa−1 within 2.5 KPa range), a broad detection range (0–160 KPa), and a minimal detection limit of 20 Pa. The strain sensor exhibited a high level of sensitivity to strain (GF factor of 139), a broad linear range of strain (0–35 %), a low limit of detection (capable of detecting strains as low as 0.6 %), and outstanding durability (no signal distortion was observed even after subjecting it to over 2500 cycles of stretching). Flexible sensors can be worn as electronic skin on fingers, the neck, and the surface of robotic claws. The research results show that ultraviolet nanosecond pulsed lasers, using the LIG process, can produce graphene of higher known quality. The flexible pressure and strain sensors fabricated from this graphene exhibit outstanding performance.

In Situ Self-Assembled 200nm-Depth Highly Active Layer Non-Precious Metals Catalyst for Industrial Water Electrolysis.

Nickel-based electrocatalysts are promising for industrial water electrolysis, but the dense hydroxyl oxide layer formed during the oxygen evolution reaction (OER) limits active sites accessibility and presents challenges in balancing structural stability with effective charge transfer. Based on this, an efficient in situ leaching strategy is proposed to construct grain boundary-rich catalyst structure with high charge transfer ability and a deep catalytic active layer reached >200-nm. Under OER conditions, stable sub-nano Ni3Al particles are embedded in Ni(Fe)OOH, originating from leaching out the unstable Ni2Al3 phase of the initial Ni2Al3/Ni3Al alloy doped with Fe. The structural evolutions are characterized using in situ Raman spectroscopy, transmission electron microscopy, and X-ray absorption spectroscopy. The catalyst exhibits exemplary performance, evidenced by a low overpotential of 212mV at 10mAcm-2, a minimal Tafel slope of 25.0mVdec-1. The catalyst maintains stable for >500h at 500mAcm-2 under industrial conditions. Furthermore, its performance in seawater electrolysis is notably superior, exhibiting an overpotential of 223mV at 10mAcm-2 and a Tafel slope of 37.5mVdec-1. The in situ high activity in the deep porous phase by leaching out unstable phases provides a new method for engineering high-performance industrial catalysts.

Glitters in fishing ground baits – A direct source of primary microplastics in soil and freshwater ecosystems

The aim of this paper is to draw attention to the direct source of primary microplastics (MPs) that have been entirely neglected so far, namely by providing qualitative studies of the fishing ground baits with glitters. Among many microplastic sources already detected in fishing and angling gear and reported in the literature, the glitters in synthetic pastry are the only primary source (produced <5 mm; P-MPs), with MPs placed directly into the freshwater, during sports competitions and individual leisure activities, and were so far not discussed. Dozens of different fishbait pastry products available on the market containing glitters were funded to represent, from the material point of view, only three different classes studied further. Fourier-transform infrared (FTIR), ATR-FTIR and Raman spectroscopy combined with scanning electron microscopy with an energy-dispersive detector (SEM/EDS) enabled the characterization of their composition and morphology. Glitters are composite structures with an internal core and several chemical layers symmetrically placed on both sides. The polymer origin of particles, with the polyethylene terephthalate (PET) core, was confirmed as being an essential condition to classify them as P-MPs. One should focus on the fact that those primary microplastics are designed purposely to be particularly attractive and ingested by fishes, thus being efficiently introduced to the trophic chain with all persistent consequences, including their contribution to the plastisphere. The preliminary qualitative results of environmental stability were obtained in the accelerated ageing test to discuss the possible long-term ecological implications further. Glitters were durable in the saltwater (both natural and used for weathering in the ageing chamber) and in the seabed sediments. The primary weathering test was performed in marine environments, as oceans are the final destination of most freshwater MPs. Finally, suggestions for future studies to enlarge the knowledge about this issue are provided.

Stabilization of cuσ+ via strong Cu‐O‐Si interface for efficient electrocatalytic acetylene semi‐hydrogenation

AbstractThe development of a high‐performance electrocatalytic acetylene semi‐hydrogenation catalyst is the key to the selective removal of acetylene from industrial ethylene gas and non‐oil route to ethylene production. However, it is still hampered by the deactivation of the catalyst and hydrogen evolution interference. Here, we proposed an interface engineering strategy involving the Cu and cupric oxide nanoparticles dispersed on amorphous SiO2 (Cu/CuOx/SiO2) by a simple stöber method. x‐ray photoelectron spectroscopy demonstrated the strong interfacial interaction between cupric oxide nanoparticles and SiO2. The formed Cu‐O‐Si interface stabilized the Cuσ+ at high reduction potentials, thus improving the activity and stability of the acetylene reduction reaction, as confirmed by in situ Raman spectroscopy. Consequently, the electrochemical test results showed that at 0.5 M KHCO3, the maximum Faraday efficiency (FE) of ethylene on the optimized Cu/CuOx/SiO2 reached 96%. And ethylene FE remains above 85% at −100 mA cm−2 for 40 h.

Genetic Type and Formation Evolution of Mantle-Derived Olivine in Ultramafic Xenolith of Damaping Basalt, Northern North China Block

Olivine in deep-seated ultramafic xenoliths beneath the North China Block serves as a crucial proxy for decoding the compositions, properties, and evolution of the lithospheric mantle. Here, we conduct an investigation on olivine (including gem-grade) hosted in ultramafic xenoliths from Damaping basalt in the northern part of the North China Block. This contribution presents the results from petrographic, Raman spectroscopic, and major and trace elemental studies of olivine, with the aim of characterising the formation environment and genetic type of the olivine. The analysed olivine samples are characterised by high Mg# values (close to 91%) possessing refractory to fertile features and doublet bands with unit Raman spectra beams of 822 and 853 cm−1, which are indicative of a forsterite signature. Major and trace geochemistry of olivine indicates the presence of mantle xenolith olivine. All the analytical olivine assays ≤0.1 wt % CaO, ~40 wt % SiO2, and ≤0.05 wt % Al2O3. Furthermore, olivine displays significantly different concentrations of Ti, Y, Sc, V, Co, and Ni. The Ni/Co values in olivine range from 21.21 to 22.98, indicating that the crystallisation differentiation of basic magma relates to oceanic crust recycling. The V/Sc values in mantle/xenolith olivine vary from 0.54 to 2.64, indicating a more oxidised state of the mantle. Rare earth element (REE) patterns show that the LREEs and HREEs of olivine host obviously differentiated characteristics. The HREE enrichments of olivine and the LREE depletion of clinopyroxene further assert that the mantle in the Damaping area underwent partial melting. The wide variations of Mg# values in olivine and the Cr# values in clinopyroxene, along with major element geochemistry indicate transitional characteristics of different peridotite xenoliths. This is possibly indicative of a newly accreted lithospheric mantle interaction with an old lithospheric mantle at the time of the basaltic eruption during the Paleozoic to Cenozoic.

Microplastic Particles Detected in Fetal Cord Blood, Placenta, and Meconium: A Pilot Study of Nine Mother–Infant Pairs in South China

Microplastics (MPs) are emerging environmental pollutants. Pregnancy and infancy are sensitive windows for environmental exposure. However, few studies have investigated the presence of MPs in mother–infant pairs, or the exposure source. In this study, nine mother–infant pairs were recruited, and samples of placenta, cord blood, and meconium were collected. Information about the living environment and dietary habits were collected to determine the source of exposure during pregnancy. Micro-Raman spectroscopy was applied to identify MPs. In total, 9, 4, and 14 types of MPs were identified in the placenta, cord blood, and meconium samples, with particle counts of 34, 14, and 80, respectively. More than 80.47% of MPs detected in samples had a size of 100–400 μm. The abundance of MPs exhibited the order of meconium &gt; placenta &gt; cord blood (Hc = 14.959, p &lt; 0.01). We found that the abundance of MPs in meconium from women who drank tea ≥ 3 times/week during pregnancy was lower than in those who drank less (p = 0.048). Our study presents evidence of MPs transfer via the placenta–cord blood–meconium pathway. We also found that the habit of drinking tea among pregnant women might be related to the abundance of MPs in meconium.

Moiré Lattice of Twisted Bilayer Graphene as Template for Non-Covalent Functionalization.

We present a novel approach to achieve spatial variations in the degree of non-covalent functionalization of twisted bilayer graphene (tBLG). The tBLG with twist angles varying between ~5°and 7°was non-covalently functionalized with 1,4,5,8,9,11-hexaazatriphenylenehexacarbonitrile (HATCN) molecules. Our results show a correlation between the degree of functionalization and the twist angle of tBLG. This correlation was determined through Raman spectroscopy, where areas with larger twist angles exhibited a lower HATCN peak intensity compared to areas with smaller twist angles. We suggest that the HATCN adsorption follows the moiré pattern of tBLG by avoiding AA-stacked areas and attach predominantly to areas with a local AB-stacking order of tBLG, forming an overall ABA-stacking configuration. This is supported by density functional theory (DFT) calculations. Our work highlights the role of the moiré lattice in controlling the non-covalent functionalization of tBLG. Our approach can be generalized for designing nanoscale patterns on two-dimensional (2D) materials using moiré structures as a template. This could facilitate the fabrication of nanoscale devices with locally controlled varying chemical functionality.

Advanced biomolecular spectroscopic profiling of cardiovascular disease macromolecular markers: SIL-6, IL-9, LpA, ApoB, PCSK9 and NT-ProBNP for rapid in-situ detection and monitoring

Cardiovascular disease (CVD) remains a major global health concern and a leading cause of morbidity and mortality worldwide. Early-diagnosis and prompt medical attention are crucial in managing and reducing overall impact on health-and-wellbeing, necessitating the development of innovative diagnostics, which transcend traditional methodologies. Raman spectroscopy uniquely provides molecular fingerprinting and structural information, offering insights into biochemical composition. Integration of Raman spectroscopy with advanced machine learning is established as a powerful clinical adjunct for point-of-care detection of CVDs. A non-invasive, label-free spectroscopic platform coupled with neural network algorithm, ‘SKiNET’ has been developed to accurately detect the biomolecular changes within plasma of CVD versus healthy cohorts, enabling rapid diagnosis and longer-term monitoring, where the real-time capabilities provide dynamic assessment of progression, aligning treatment strategies with evolving states. CVD has been detected and classified via SKiNET with 88.6 %-accuracy, 92.9 %-specificity and 85.1 %-sensitivity and with 83.8 %-accuracy. The hybrid RS-SKiNET bio-molecularly specific detection signposted a comprehensive panel of CVD-indicative biomarkers, including SIL-6, IL-9, LpA, ApoB, PCSK9 and NT-ProBNP, offering important insights into disease mechanisms and risk-stratification. This multidimensional technique holds potential for improved patient-and-healthcare management for CVDs, laying the platform toward high-throughput biomolecular profiling of CVD-indicative macromolecular biomarkers, particularly vital for widespread point-of-care diagnostics and monitoring.

Flashforward: The Current and Future Applications of Vibrational Spectroscopy for Forensic Purposes

ABSTRACTVibrational spectroscopy combined with machine learning has a great potential for forensic applications. For example, handheld Raman spectroscopic instruments are already used by law enforcement agencies for precise, confirmatory identification of drugs. Beyond drug identification, several emerging technologies based on vibrational spectroscopy are currently under development for forensic investigative purposes, including the analysis of questioned documents, gunshot residue, fabrics, soil, hair, nails, and nail polish. This article provides a comprehensive overview of the application of vibrational spectroscopy in various areas of forensic analysis, particularly focusing on forensic serology and the analysis of trace evidences. In the case of forensic serology, the methodology allows for determining complex aspects of serological casework, including the time since deposition of a stain, as well as the phenotypic profile of the stain donor—namely, sex, race, and age. Furthermore, gunshot residues can be accurately identified by grain, caliber, and manufacturer when Raman spectroscopy is paired with machine learning. This integration of advanced spectroscopic techniques with machine learning holds great promise for furthering both the accuracy and efficiency of investigations, helping to reduce the total backlog of evidence investigation currently plaguing modern forensic laboratories.

Magnetically-assembled multifunctional Fe3O4@SiO2@Au particles for SERS detection of low-concentration dye molecules

Abstract Surface-enhanced Raman scattering (SERS) is a sensitive spectroscopic method to detect low concentration-low volume analytes. Owing to this, there has been a rising interest in developing improved as well as novel nanostructured substrates for SERS applications. For SERS applications, it is desirable to have large-scale assemblies of such nanostructures that can sustain multiple electromagnetic ‘hotspots’ for improved sensitivity. In this work, we use magnetic-field aided large-scale assembly of multifunctional magnetic-plasmonic particles to generate a large area SERS substrate. The particles, composed of a Fe3O4 core with a thin silica coating followed by Au nanoparticles (Fe3O4@SiO2@Au), were synthesized by simple chemical methods. The multifunctional particles were characterized using powder x-ray diffraction, transmission electron microscopy, Raman spectroscopy, and SQUID magnetometer. Magnetic assembly of the composite particles, carried out using a bi-electromagnet setup, was used for SERS detection of organic dyes such as rhodamine B and methylene blue. Using this scheme, it was possible to detect ultra-low concentrations (up to 1fM) of the dye molecules. This method is promising for applications such as chemical sensors, biomolecular detection, cancer detection, and hyperthermia treatment, forensic investigations, and drug delivery.

Construction of chalcopyrite surface with multiple copper sites by using additional copper ions

It is found that copper ions can significantly multiply the copper sites on chalcopyrite surface, which is because of the modification of copper ions on chalcopyrite surfaces. In this study, the mechanism underlying the modification of copper ions on chalcopyrite surfaces was thoroughly investigated by using Energy dispersive Spectrometer, X-ray photoelectron spectroscopy, Cyclic voltammetry, Raman spectroscopy, Density functional theory calculation and Molecular dynamics simulation. The findings indicate that copper ions facilitate the dissolution of iron, leading to the appearance of numerous S species on chalcopyrite surface. Cu(II) added into the system can be reduced to Cu(I) by Fe(II) on chalcopyrite surface, and the resultant Cu(I) ions form stable Cu-S complexes with the S species. The Cu(I)-S complexes on chalcopyrite surface can provide more copper sites for other reagent adsorption during flotation. The pre-modification of chalcopyrite with copper ions significantly enhances the efficiency of reagent adsorption, thereby reducing the dosage of reagent required for chalcopyrite depression.

Electrifying energy storage by investigating the electrochemical behavior of CoCr2O4/graphene-oxide nanocomposite as supercapacitor high performance electrode material

This study reports novel three-step electrochemical fabrication of CoCr2O4/graphene-oxide nanocomposite on glassy carbon electrode including sequential synthesis of graphene-oxide using modified Hummer's method, CoCr2O4 nanoparticles using sol-gel method and the cost-effective co-precipitation technique for nanocomposite formation. The resulting nanocomposite was subjected to comprehensive analytical and morphological analysis. X-ray diffractometry (XRD) confirms nanocomposite formation with reduced average crystallite size value of 26.9 nm whereas SEM indicates spherical grains existence within nanocomposite. Energy-dispersive X-ray spectrometry (EDS) confirms no impurity peak existence whereas Raman spectroscopy clearly indicated D and G band existence at 1345 and 1587 cm−1 respectively. Photoluminescent spectra reveals decreasing trend in band gap value about 3.49 eV. The electrochemical properties of CoCr2O4/graphene-oxide nanocomposite electrode explored, showcasing remarkable capacitance with a surface area of merely 0.068 cm2, 574.8 F/g specific capacitance in alkaline 1M KOH and 488.6 F/g specific capacitance in acidic 0.1M H2SO4 electrolyte. Moreover, synthesized nanocomposite demonstrates remarkable electrochemical stability resulting capacitance retention about 95 % after 100 cycles in 1M KOH electrolyte. GCD analysis reveals impressive power and energy density values of 2489 W/kg and 14.88 Wh/kg respectively. These outstanding properties make the nanocomposite an attractive material for next-generation supercapacitors and energy storage solutions.

Vibrational Markers of a Model Circulating Metastatic Cells LLC-R9

Metastasis in oncological diseases remains one of the main reasons for negative prognosis regarding treatment. Any new data on the biophysical and biochemical characteristics of circulating metastatic cells will help to develop a concept for antimetastatic therapy. In this study, we found a number of differences in the spectroscopic and morphological features of circulating metastatic cells. FT-IR and Raman spectra cultivated by adhesive and de-adhesive methods (with the latter used as a model for metastatic cells) have shown spectroscopic features, namely in FT-IR spectra in the region of CH stretching vibrations, which are associated with structural rearrangements in the cell membrane, as well as changes in the intensity and position of the PO2− group vibration bands correlated with proliferative activity. The spectral features in the regions of OH stretching and Amide I vibrations as well as other spectral markers of the metastatic cells grown under different cultivation conditions were derived. Raman spectra showed a redistribution of the amino acid Tyr/Trp (tryptophan to tyrosine) ratio and in Tyr doublet intensity in the region of 500–900 cm−1, as well as varying glycogen levels in different cells. The spectroscopic markers are in accordance with biochemical data. CARS and confocal optical microscopy were applied to determine the state of the cells and the F-actin expression level, which turned out to be higher for adhesive cells in comparison with de-adhesive cells. The shape and the morphological properties of the cells differ drastically. The correlation of vibrational markers with biochemical data and the cytofluorometric method was discussed.

Insights into the interactions between cellulose and hemicellulose during pyrolysis for optimizing the properties of biochar as a potential energy vector

Cellulose and hemicellulose, the main components of biomass, undergo noticeable interactions during biomass pyrolysis. In this study, biochar was produced by the co-pyrolysis of cellulose and hemicellulose. Three co-pyrolysis parameters, namely, pyrolysis temperature (400–800 °C), residence time (5–30 min), and percentage of cellulose (0–100 %), were investigated to optimize the properties of biochar, including the application of response surface methodology in the experimental study. The analysis revealed that co-pyrolysis interactions could improve the biochar yield by up to 41.37 % (567.74 °C, 19.52 min, 50 % cellulose percentage). The co-pyrolysis interactions specifically enhanced the fixed carbon content, elemental carbon content, and higher heating value of the biochar, with the most significant enhancements being 0.87 %, 3.60 %, and 3.85 %, respectively, while simultaneously decreasing the volatile content, [H]/[C] ratio, and [O]/[C] ratio of the biochar, with the most significant reductions of −9.30 %, −10.81 %, and −26.71 %. Based on the observed decrease in the intensity ratio of the D-band and G-band of biochar in the Raman spectra, greater co-pyrolysis interactions increased the graphitization degree of the biochar. The analysis of X-ray photoelectron spectroscopy (XPS) investigations revealed that the interactions enhanced the contents of the C-C, C-O/C-O-C, aromatic, and OH functionalities while reducing the number of COO-, COOH, and CO functional groups. The results of this work indicate that the co-pyrolysis interaction between cellulose and hemicellulose contributes to optimizing the properties of biochar as a potential energy vector.

SERS-AI Based Detection and Bioanalysis of Malodorous Components in Kitchen Waste.

The prevention and control of odor gas generated from kitchen waste are significant missions in research on environmental pollution. Because of the high complexity and variability of kitchen waste, the development of a suitable technique with high sensitivity for the accurate detection of odor gas is an urgent and core task in this frontier field. Here, a technique combining surface-enhanced Raman spectroscopy (SERS) and artificial intelligence (AI) is explored for detecting malodorous components in the leachate of kitchen waste. Initially, 1706 SERS spectra were collected from synthetic kitchen waste under various fermentation parameters. Several AI algorithms were used to classify three levels of odor intensity based on SERS spectra, among which the Random Forest Classifier algorithm model showed a high prediction accuracy of 86.5%. Then, by integrating Raman data, the AI algorithm model identified hydrogen sulfide (H2S) and ammonia (NH3) as the dominant malodorous components in the odor gas. Finally, the structural characteristics of the microbial communities are investigated. With the help of Raman's intensities of malodorous components, many more insights into microorganisms in the fermentation process are revealed, which has important research value in the prevention and controlling of odor gas generated from kitchen waste. Furthermore, the microbial metabolic pathways of sulfur and nitrogen are discussed here. This SERS-AI-based novel technique not only has a broad potential for odor pollution but also could be applied to another complicated biochemical system with functional bacteria.

Platform for Aldehyde and Ketone Quantitation Using Surface-Enhanced Raman Spectroscopy.

Colorimetric methods for aldehyde and ketone analyses are plagued by interferences. Each aldehyde or ketone generates a blue color, but with a different reaction coefficient. It is, therefore, not possible to differentiate these compounds from a single test. By using surface-enhanced Raman spectroscopy, we demonstrate unique fingerprints for each reaction product, enabling aldehyde and ketone speciation. With the further addition of an isotopologue internal standard, we demonstrate aldehyde and ketone quantification at levels lower than those possible with colorimetric techniques. This method paves the way for a powerful and practical tool for analyzing these crucial chemical building blocks.

Study of morphology, phase composition, optical properties, and thermal stability of hydrothermal zirconium dioxide synthesized at low temperatures.

Oxide nanoparticles exhibit unique features such as high surface area, enhanced catalytic activity, and tunable optical and electrical properties, making them valuable to various industry applications as well as for the development of new research projects. Nowadays, ZrO2 nanoparticles are widely used as catalysts and precursors in ceramic technology. Hydrothermal synthesis with metal salts is one of the most common methods for producing stable tetragonal-phase zirconium dioxide nanoparticles. However, hydrothermal synthesis requires relatively high process temperatures (160-200°C) and the use of advanced heat-resistant autoclaves capable of maintaining high pressure. This paper investigates how different precursors (ZrOCl₂·8H₂O and ZrO(NO₃)₂·2H₂O) and synthesis temperatures (110-160°C) affect the phase composition, optical properties, size, and shape of ZrO₂ nanoparticles produced by hydrothermal synthesis without calcination. In addition, the effect of temperature exposure in the range of 100-1000°C on the phase stability of the synthesized nanoparticles was studied. X-ray diffraction and Raman spectroscopy techniques were used to determine the structure and phase composition, while the optical properties were examined through the analysis of transmission and absorption spectra in the visible and UV ranges. It was found that the obtained particles at synthesis temperatures of 110-130°C have predominantly cubic c-ZrO2 phase, which changes to monoclinic phase when heated above 500°C. Analysis of visible and UV spectroscopy data reveals that the experimental samples have pronounced absorption in the middle UV range (200-260nm) and have an energy band gap Eg varying from 4.8 to 5.1eV. The hydrothermal powders synthesized in this study can be used as absorbers in the mid-UV range and as reinforcing additives in the preparation of technical ceramics.