Journal of Applied Spectroscopy最新文献_第5页

Stability-Indicating Greener UV Spectrophotometric Method for Felodipine Assay in Pharmaceutical and Urine Samples and Comprehensive Degradation Studies with IR Spectral Analysis 稳定性指示绿色紫外分光光度法测定药品和尿液样品中的非洛地平及红外光谱综合降解研究

IF 1 4区化学

Journal of Applied Spectroscopy Pub Date : 2025-07-08 DOI: 10.1007/s10812-025-01957-3

Rakshith Nagaraju, Chikkalingaiah Siddaraju, Hullikal Chandrashekar Prameela, Prathima Chikkegowda, Nagaraju Rajendraprasad

{"title":"Stability-Indicating Greener UV Spectrophotometric Method for Felodipine Assay in Pharmaceutical and Urine Samples and Comprehensive Degradation Studies with IR Spectral Analysis","authors":"Rakshith Nagaraju, Chikkalingaiah Siddaraju, Hullikal Chandrashekar Prameela, Prathima Chikkegowda, Nagaraju Rajendraprasad","doi":"10.1007/s10812-025-01957-3","DOIUrl":"10.1007/s10812-025-01957-3","url":null,"abstract":"A stability-indicating greener UV spectrophotometric method was developed and is here reported to quantify felodipine (FDP) in pharmaceutical and spiked human urine samples, with degradation studies and IR spectral analysis of degradation products. The approach involved the preparation of calibration curves using varying concentrations of FDP in 1:1.5 acetic acid (HOAc) and measuring absorbance at 365 nm. Relative standard deviation (RSD) values for the synthetic mixture were less than 5%, and the recovery rate of FDP ranged from 95.65 to 103.1%. The FDP showed considerable degradation under basic conditions, as indicated by a shift in the λmax, a decrease in recovery at the analytical wavelength, and changes observed in the IR spectrum. The method's robustness and ruggedness were confirmed through variations in experimental conditions and reproducibility tests, with RSD values between 3 and 5%. In the analysis of spiked human urine samples, the method demonstrated high recovery rates of FDP, ranging from 95.50 to 102.30%, with RSD values below 5%, confirming its applicability to analyse physiological samples. The me thod showed excellent linearity over 2.5–100 μg/mL FDP, low limits of detection (0.86 μg/mL), and quantification (2.62 μg/mL), with the regression coefficient (r) of 0.9983, making it suitable for routine analysis of FDP in pharmaceutical formulations and clinical samples. This method provides a reliable approach to quantify FDP, with a proven stability-indicating capability, and applies to both pharmaceutical and physiological contexts. The developed method is environmentally friendly, utilizing less toxic reagents like HOAc, minimizing waste and requiring no sophisticated equipment, making it a sustainable option for routine analysis.","PeriodicalId":609,"journal":{"name":"Journal of Applied Spectroscopy","volume":"92 3","pages":"669 - 679"},"PeriodicalIF":1.0,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144990469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Adaptive Particle Swarm Optimization Radial Basis Neural Network (APSO–RBF)-Based Method for Classifying Soils by Laser-Induced Breakdown Spectroscopy 基于自适应粒子群优化径向基神经网络（APSO-RBF）的激光击穿光谱土壤分类方法

IF 1 4区化学

Journal of Applied Spectroscopy Pub Date : 2025-07-08 DOI: 10.1007/s10812-025-01951-9

Junjie Chen, Xiaojian Hao, Rui Jia, Biming Mo, Shuaijun Li, Hongkai Wei

{"title":"Adaptive Particle Swarm Optimization Radial Basis Neural Network (APSO–RBF)-Based Method for Classifying Soils by Laser-Induced Breakdown Spectroscopy","authors":"Junjie Chen, Xiaojian Hao, Rui Jia, Biming Mo, Shuaijun Li, Hongkai Wei","doi":"10.1007/s10812-025-01951-9","DOIUrl":"10.1007/s10812-025-01951-9","url":null,"abstract":"As soil is an important natural resource on the earth's surface, the composition and characterization of soil have a significant impact on agricultural production, the ecological environment, and human health. Traditional soil identification methods need to deal with a large number of samples and complex chemical analysis, which requires a lot of time and effort. In this paper, a method combining laser-induced breakdown spectroscopy (LIBS) and adaptive particle swarm optimization radial basis neural network (APSO–RBF) is proposed to classify and identify soil standard samples from different geographical regions. By selecting the appropriate principal component of LIBS spectral data as input, the computational complexity can be reduced, the redundancy of the original spectral data can be reduced, and the samples can be classified quickly and accurately. For the soil from 10 different regions, the first 6 principal components with the highest contribution rate in principal component analysis were used as the input of APSO–RBF classification model, and the classification accuracy of the test set could reach 98.81%. In comparison with the back propagation (BP) algorithm, back propagation based on adaptive particle swarm optimization (APSO–RBF) algorithm and radial basis function neural network (RBF) algorithm, the powerful classification performance of the model is verified. The results show that LIBS technology greatly improved the accuracy of soil identification in different regions with the help of APSO–RBF model.","PeriodicalId":609,"journal":{"name":"Journal of Applied Spectroscopy","volume":"92 3","pages":"609 - 619"},"PeriodicalIF":1.0,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144990555","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Investigations on the Antimicrobial Activity of V2–xSb2xO5–δ Compound Systems Against the Gram-Positive, Gram-Negative Bacteria, Penicillium, and Aspergillus niger Fungi V2-xSb2xO5 -δ复合体系对革兰氏阳性菌、革兰氏阴性菌、青霉菌和黑曲霉的抑菌活性研究

IF 1 4区化学

Journal of Applied Spectroscopy Pub Date : 2025-07-08 DOI: 10.1007/s10812-025-01958-2

Melethil Sabna, Peediyekkal Jayaram, K. R. Aneesa, K. M. Mujeeb Rahiman

{"title":"Investigations on the Antimicrobial Activity of V2–xSb2xO5–δ Compound Systems Against the Gram-Positive, Gram-Negative Bacteria, Penicillium, and Aspergillus niger Fungi","authors":"Melethil Sabna, Peediyekkal Jayaram, K. R. Aneesa, K. M. Mujeeb Rahiman","doi":"10.1007/s10812-025-01958-2","DOIUrl":"10.1007/s10812-025-01958-2","url":null,"abstract":"Recent innovations in antimicrobial coatings for surgical tools and implants utilize engineered multi-cation oxides combined with nanofibers, nanotubes, and nanosheets, which generate reactive oxygen species to effectively reduce infection risk. This research provides an in-depth examination of lattice dynamics through Raman spectroscopy and ten Raman bands observed from the study indicate the vibrational modes of the orthorhombic structure of V2–xSb2xO5–δ (Sb–V–O, 0.05 ≤ x ≤ 0.08) compounds with the polycrystalline nature of the powder ceramics. The study also assesses the antibacterial properties of Sb–V–O compounds against both human pathogenic gram-positive and gram-negative bacteria. Additionally, the antifungal effectiveness of these compounds is tested against Penicillium spp. and Aspergillus niger. Streptomycin and metronidazole are utilized as positive controls, while dimethyl sulfoxide is used as a negative control. The results highlight the diverse characteristics of the compounds, illustrating their broad-spectrum antimicrobial capabilities and their potential applications in various biomedical and industrial fields.","PeriodicalId":609,"journal":{"name":"Journal of Applied Spectroscopy","volume":"92 3","pages":"680 - 687"},"PeriodicalIF":1.0,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144990556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Investigations of the Morphology and Optical Properties of Cadmium Tungstate Nanostructures 钨酸镉纳米结构的形貌和光学性质研究

IF 1 4区化学

Journal of Applied Spectroscopy Pub Date : 2025-07-08 DOI: 10.1007/s10812-025-01948-4

T. K. Srinivasan, A. S. Suneesh, N. Thirunavkarasu, S. Sathis Kumar, S. Chandrasekaran

{"title":"Investigations of the Morphology and Optical Properties of Cadmium Tungstate Nanostructures","authors":"T. K. Srinivasan, A. S. Suneesh, N. Thirunavkarasu, S. Sathis Kumar, S. Chandrasekaran","doi":"10.1007/s10812-025-01948-4","DOIUrl":"10.1007/s10812-025-01948-4","url":null,"abstract":"Nanocrystalline CdWO4 particles were synthesized via a co-precipitation method using diethylene glycol (DEG) as a capping agent, followed by a hydrothermal technique. Synthesized samples were characterized via X-ray diff raction (XRD), scanning electron microscopy (SEM), dynamic light scattering, Fourier transform infrared spectroscopy, Raman spectroscopy, and UV-visible absorption and photoluminescence analysis. XRD analysis confi rmed the formation of a monoclinic structure in CdWO4. Uniform homogeneous NanoRect long rod-like morphologies with lengths of <20 to 300 nm were observed via SEM. Hydrodynamic size distribution of the synthesized particles increased with increasing DEG concentration from 20 to 1500 nm. Raman analysis confi rmed the monoclinic structure of the prepared CdWO4. The width of the strong vibration mode at 897 cm–1 decreases as the annealing temperature increases, indicating that the crystallite size increases as the crystal evolves with temperature. The band gap of CdWO4 was found to vary between 2.47 and 4.06 eV from the UV-Vis absorption measurements. Bandgap increases with increasing lattice strain, which is refl ected by the calculated XRD results. UV-visible measurements reveal that the bandgap of CdWO4 increases with strain in the sample. A broad intense emission peak was observed at 482 nm when the samples were excited at 298 nm.","PeriodicalId":609,"journal":{"name":"Journal of Applied Spectroscopy","volume":"92 3","pages":"580 - 590"},"PeriodicalIF":1.0,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144990568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Oil Content Prediction of Oilfield Reinjection Water Based on Residual Neural Networks 基于残差神经网络的油田回注水含油量预测

IF 1 4区化学

Journal of Applied Spectroscopy Pub Date : 2025-07-08 DOI: 10.1007/s10812-025-01949-3

Xiaoxue Zhang, Shujuan Liang, Hang Zhu, Huaizhi Li, Hanbing Qi, Boyu Tian

{"title":"Oil Content Prediction of Oilfield Reinjection Water Based on Residual Neural Networks","authors":"Xiaoxue Zhang, Shujuan Liang, Hang Zhu, Huaizhi Li, Hanbing Qi, Boyu Tian","doi":"10.1007/s10812-025-01949-3","DOIUrl":"10.1007/s10812-025-01949-3","url":null,"abstract":"Predicting the oil content of reinjection water is a crucial challenge in the advancement of digital oilfield technologies. To effectively address this challenge, this study investigates rapid and accurate prediction methods for oil content in reinjection water. A total of 146 samples of reinjection water were collected from a sewage treatment station in the Daqing oilfield. Using UV-visible transmission spectra ranging from 190 to 900 nm, three residual neural networks (ResNet) models with different network structures and several layers were constructed for predicting oil content. Comparative analysis was performed using the joint interval partial least squares method (siPLS). Results showed that the mean absolute errors of the three ResNet models were 1.23, 0.76, and 0.29 mg/L, respectively, all demonstrating lower values than those obtained with the siPLS model, notably, increasing the number of layers in the ResNet model enhanced detection accuracy. Consequently, the ResNet model proves to be suitable for predicting oily sewage content within the 20.0 mg/L range as mandated by industry specifications.","PeriodicalId":609,"journal":{"name":"Journal of Applied Spectroscopy","volume":"92 3","pages":"591 - 597"},"PeriodicalIF":1.0,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144990554","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Spectral Manifestation of Supramolecular Structure Formation in Phenolic and Urethane Polymers with Boric Acid 含硼酸的酚醛和聚氨酯聚合物超分子结构形成的光谱表现

IF 1 4区化学

Journal of Applied Spectroscopy Pub Date : 2025-07-07 DOI: 10.1007/s10812-025-01932-y

E. Yu. Bobkova, V. S. Vasil’eva, L. N. Vasilevskaya, M. A. Ksenofontov, N. A. Shkredova

引用次数: 0

Plasma Formation During Dual-Pulse Bichromatic Laser Action on Zirconium in Air 双脉冲双色激光作用于空气中锆时等离子体的形成

IF 1 4区化学

Journal of Applied Spectroscopy Pub Date : 2025-07-07 DOI: 10.1007/s10812-025-01940-y

A. N. Chumakov, A. S. Smetannikov, M. Ivkovich, N. M. Sakan, N. A. Bosak, V. A. Bulavsky, V. V. Kiris, A. A. Ivanov

引用次数: 0

Effect of Decanting Nanopowders of Yb:Y2O3 + 5 mole% ZrO2 in Ethanol on the Optical Quality of the Ceramics Synthesized from Them Yb:Y2O3 + 5摩尔% ZrO2纳米粉体在乙醇中沉淀对其合成陶瓷光学质量的影响

IF 1 4区化学

Journal of Applied Spectroscopy Pub Date : 2025-07-05 DOI: 10.1007/s10812-025-01937-7

V. I. Solomonov, V. V. Osipov, V. A. Shitov, R. N. Maksimov, A. V. Spirina, A. S. Makarova, A. N. Orlov, O. N. Tchaikovskaya, A. A. Shchukina, M. S. Snegerev, Yu. V. Kistenev

引用次数: 0

Raman Spectroscopy in Endoscopy: Development of Existing Solutions 内窥镜中的拉曼光谱：现有解决方案的发展

IF 1 4区化学

Journal of Applied Spectroscopy Pub Date : 2025-07-05 DOI: 10.1007/s10812-025-01944-8

A. Yu. Belykh, D. D. Khokhlov, V. E. Pozhar

引用次数: 0

Changes of Thickness and Optical Constants of Boron Oxide Thin Films During Heating in Air 空气加热过程中氧化硼薄膜厚度及光学常数的变化

IF 1 4区化学

Journal of Applied Spectroscopy Pub Date : 2025-07-05 DOI: 10.1007/s10812-025-01936-8

L. A. Akashev, N. A. Popov, V. G. Shevchenko, E. V. Spesivtsev, O. G. Reznitskih

引用次数: 0