Journal of Analytical Chemistry最新文献_第6页

Photoelectrochemical Detection of Phenol using ZnO-Modified Reduced Graphene Oxide-Cocoa Shell Electrode zno修饰还原氧化石墨烯-可可壳电极对苯酚的光电化学检测

IF 1.1 4区化学

Journal of Analytical Chemistry Pub Date : 2025-07-05 DOI: 10.1134/S1061934824604833

Muhammad Zakir Muzakkar, Lia Uswatun Hasanah, Ratna Ratna, Muhammad Nurdin, Maulidiyah Maulidiyah, Irwan Irwan

{"title":"Photoelectrochemical Detection of Phenol using ZnO-Modified Reduced Graphene Oxide-Cocoa Shell Electrode","authors":"Muhammad Zakir Muzakkar, Lia Uswatun Hasanah, Ratna Ratna, Muhammad Nurdin, Maulidiyah Maulidiyah, Irwan Irwan","doi":"10.1134/S1061934824604833","DOIUrl":"10.1134/S1061934824604833","url":null,"abstract":"The investigation focused on the photoelectrochemical detection of phenol using a ZnO-modified reduced graphene oxide (rGO) electrode. The cocoa shell waste was oxidized to produce graphene, which was subsequently used to obtain rGO. The resulting electrode material was analyzed using scanning electron microscopy, X-ray diffraction, and Fourier transform infrared spectroscopy and subjected to photoelectrochemical examinations. The study employed three distinct electrochemical techniques: cyclic voltammetry, linear sweep voltammetry, and multi-pulse amperometry. The synergistic interaction between light variation and photocurrent response revealed that pristine rGO was active under ultraviolet light, generating a photocurrent (Ipa) of 0.99 µA. In contrast, the rGO/ZnO electrode exhibited higher performance under visible light, achieving an Ipa of 4.02 µA. Compared to pristine rGO, the rGO/ZnO composites demonstrated significantly enhanced absorption within the visible light spectrum. The developed rGO/ZnO photoelectrochemical electrode demonstrated excellent phenol-sensing capabilities, featuring a broad linear detection range from 0.01 to 10 ppm and a low detection limit of 0.085 ppm. Moreover, the prepared electrodes showed good repeatability and long-term stability, making them suitable for practical applications in environmental monitoring and sensing.","PeriodicalId":606,"journal":{"name":"Journal of Analytical Chemistry","volume":"80 6","pages":"1102 - 1109"},"PeriodicalIF":1.1,"publicationDate":"2025-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145161968","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}

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Assessing Errors and Uncertainties in the Instrumental Dating of Document Requisites by the Relative Content of Volatile Solvents in Strokes 通过笔划中挥发性溶剂的相对含量来评估文件必要条件的仪器测年中的误差和不确定性

IF 1.1 4区化学

Journal of Analytical Chemistry Pub Date : 2025-07-05 DOI: 10.1134/S1061934825700455

E. V. Ivanova, V. I. Aksenova, L. A. Rubizhanskaya

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White Analytical Chemistry: a Review of Current Developments 白色分析化学：当前发展综述

IF 1.1 4区化学

Journal of Analytical Chemistry Pub Date : 2025-07-05 DOI: 10.1134/S1061934825700327

Divya Pingili, Archana Awasthi, Munendra Mohan Varshney

{"title":"White Analytical Chemistry: a Review of Current Developments","authors":"Divya Pingili, Archana Awasthi, Munendra Mohan Varshney","doi":"10.1134/S1061934825700327","DOIUrl":"10.1134/S1061934825700327","url":null,"abstract":"White analytical chemistry (WAC) redefines analytical research by embedding principles of validation efficiency, environmental sustainability, and cost-effectiveness into its core. As a framework emphasizing transparency, sustainability, and ethical accountability, WAC inspires transformative advancements in analytical practices. By integrating green chemistry, data integrity, and social impact principles, WAC fosters a new era of responsible science. Innovative applications like direct immersion solid phase microextraction paired with liquid chromatography-mass spectrometry exemplify the power of WAC. This approach enables eco-friendly, efficient, and precise forensic toxicological analyses, significantly improving the detection of psychotropic drugs in complex biological samples while minimizing harmful chemical use. Frameworks such as the RGB12 model further enhance WAC scope by optimizing sustainable methodologies for applications spanning pharmaceuticals, environmental studies, and food analysis. Emerging technologies like ultrasonic-assisted extraction, and eco-conscious solvents such as Cyrene exemplify green analytical chemistry principles, offering energy-efficient mineral extraction and reduced environmental footprints without compromising analytical performance. Likewise, design of experiments and analytical quality by design optimize drug analysis methods, cutting waste while employing low-toxicity solvents for sustainable high-performance thin-layer chromatography and reverse-phase high-performance liquid chromatography techniques. Gradient-based calibration strategies—gradient ratio standard addition method, standard dilution analysis, and H-point standard addition method—reinforce WAC transformative potential by advancing precision, adaptability, and sustainability in complex matrices. Together, these innovations position WAC as a trailblazer in reshaping analytical science for a greener, more sustainable future.","PeriodicalId":606,"journal":{"name":"Journal of Analytical Chemistry","volume":"80 6","pages":"959 - 968"},"PeriodicalIF":1.1,"publicationDate":"2025-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145162349","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}

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Recent Advances in Biosensors for the Determination of Probiotics 生物传感器测定益生菌的最新进展

IF 1.1 4区化学

Journal of Analytical Chemistry Pub Date : 2025-07-05 DOI: 10.1134/S1061934824604973

Suvarna Yenduri, Bhargav M. Hegde, Naga Prashant K.

{"title":"Recent Advances in Biosensors for the Determination of Probiotics","authors":"Suvarna Yenduri, Bhargav M. Hegde, Naga Prashant K.","doi":"10.1134/S1061934824604973","DOIUrl":"10.1134/S1061934824604973","url":null,"abstract":"Biosensors are integrated devices intended for quantifying a biological or chemical reaction, that provide signals proportional to the analyte concentration in the reaction. The utilization of biosensors in probiotic determination has brought about a paradigm shift by offering a swift and precise approach to their identification. In recent years, probiotics that impart health benefits upon ingestion, have grown in popularity. However, identifying and quantifying them in a wide range of products can present difficulties. This review aims to summarize the latest research and challenges in the field of healthcare regarding probiotic determination. Biosensors enable rapid detection and quantification of biomarkers or metabolites linked to probiotics. The application of biosensors provides several benefits, including enhanced sensitivity and specificity, as well as the capability to quantify probiotic viability and activity directly. These methods can be applied to a wide range of matrices, encompassing food, beverages, and supplements, thereby providing significant data for the purposes of quality control and safety evaluation. The utilization of biosensors has facilitated progress in both probiotic research and industry by permitting the monitoring of probiotic content in various pharmaceutical and commercial products in a more dependable and efficient manner. The increasing need for probiotics will inevitably necessitate the development and application of biosensors for probiotic detection, which will be indispensable in guaranteeing their quality and effectiveness.","PeriodicalId":606,"journal":{"name":"Journal of Analytical Chemistry","volume":"80 6","pages":"969 - 987"},"PeriodicalIF":1.1,"publicationDate":"2025-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145162343","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}

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Gas Chromatography-Mass Spectrometry-Based Metabolomics to Understand Metabolic Perturbations in Drosophila Due to Lead Acetate Exposure 以气相色谱-质谱为基础的代谢组学了解果蝇因醋酸铅暴露而引起的代谢扰动

IF 1.1 4区化学

Journal of Analytical Chemistry Pub Date : 2025-07-05 DOI: 10.1134/S106193482570042X

Hussain Shaik, Mohana Krishna Reddy Mudiam

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Increasing the Sensitivity of Immunochromatographic Assay for the Determination of Penicillin in Milk by Oriented Immobilization of Penicillin-Binding Protein on the Colloidal Gold Surface 胶体金表面定向固定青霉素结合蛋白提高免疫层析法测定牛奶中青霉素的灵敏度

IF 1.1 4区化学

Journal of Analytical Chemistry Pub Date : 2025-07-05 DOI: 10.1134/S1061934825700388

I. V. Maksin, A. Kuandykova, T. A. Luzyanin, V. S. Ivanov, Yu. G. Kirillova, G. A. Khunteev

{"title":"Increasing the Sensitivity of Immunochromatographic Assay for the Determination of Penicillin in Milk by Oriented Immobilization of Penicillin-Binding Protein on the Colloidal Gold Surface","authors":"I. V. Maksin, A. Kuandykova, T. A. Luzyanin, V. S. Ivanov, Yu. G. Kirillova, G. A. Khunteev","doi":"10.1134/S1061934825700388","DOIUrl":"10.1134/S1061934825700388","url":null,"abstract":"The sensitivity of competitive immunochromatographic assay (ICA) for the determination of penicillin in milk using colloidal gold (CG) conjugates with recombinant penicillin-binding protein (PBP) prepared by two methods, passive non-oriented immobilization and oriented immobilization with antibodies to the histidine tag, was compared. The detection limit of the optimized ICA with non-oriented PBP immobilization was 5 ng/mL. It was possible to achieve a detection limit of 0.3 ng/mL with visual interpretation due to antibodies to the histidine tag with the use of oriented PBP immobilization. The analysis time was 10 min. The efficiency of two PBP immobilization methods was compared. It was shown that the sensitivity of the assay increased due to an improved PBP orientation and a simultaneous decrease in the number of binding sites on the CG. Thus, targeted immobilization of specific proteins on sensor surfaces using antibodies to the histidine tag can increase the sensitivity of the assay and simultaneously decrease the amount of biospecific reagents used. This approach can be applied to the simple conjugation of recombinant proteins with a histidine tag to nanoparticles.","PeriodicalId":606,"journal":{"name":"Journal of Analytical Chemistry","volume":"80 6","pages":"1040 - 1051"},"PeriodicalIF":1.1,"publicationDate":"2025-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145161959","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}

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Simultaneous Quantification of Metronidazole and Spiramycin by Ultraviolet-Visible Method: Comparison of Wavelength Selection Techniques 紫外可见法同时测定甲硝唑和螺旋霉素：波长选择技术的比较

IF 1.1 4区化学

Journal of Analytical Chemistry Pub Date : 2025-07-05 DOI: 10.1134/S1061934824605486

Nguyen Duy Luu, Nguyen Hung Nhat Duy, Pham Phu Quoc, Nguyen The Khang, Le Thanh Huyen, Nguyen Dinh Luyen, Tran Thuc Binh

{"title":"Simultaneous Quantification of Metronidazole and Spiramycin by Ultraviolet-Visible Method: Comparison of Wavelength Selection Techniques","authors":"Nguyen Duy Luu, Nguyen Hung Nhat Duy, Pham Phu Quoc, Nguyen The Khang, Le Thanh Huyen, Nguyen Dinh Luyen, Tran Thuc Binh","doi":"10.1134/S1061934824605486","DOIUrl":"10.1134/S1061934824605486","url":null,"abstract":"The accurate quantification of analytes in samples with overlapping spectra remains a critical challenge in analytical chemistry, particularly for complex pharmaceutical formulations. Developing a method for simultaneous quantification of metronidazole (MTZ) and spiramycin (SPI) that is rapid, accurate, reliable, and cost-effective is imperative. This study aims to apply an ultraviolet-visible (UV-Vis) method integrating wavelength selection algorithms with partial least squares (PLS) regression for the simultaneous quantification of MTZ and SPI in tablets. Concurrently, it clarifies the steps to compute the limit of detection range, specifically the minimum and maximum values, in PLS methods. UV-Vis spectra of MTZ and SPI mixtures in standard concentration sets were scanned from 200–400 nm with a scan interval of 0.5 nm. The backward variable elimination–partial least square (BVE-PLS), and genetic algorithm–partial least square (GA-PLS) methods were employed for optimal wavelength selection. Analyte concentrations were computed via PLS methods using acquired spectral data. Multivariate regression models were evaluated via statistical parameters: the coefficient of determination (R2), root mean square error, and residual analysis. Methods were assessed following Association of Official Analytical Chemists guidelines. The results demonstrate that the BVE-PLS and GA-PLS wavelength selection methods produced superior computational outcomes compared to full spectral data PLS methods. Ultimately, simultaneous quantification methods for MTZ and SPI were successfully developed, validated, and shown to be accurate, straightforward, rapid, cost-effective, and stable.","PeriodicalId":606,"journal":{"name":"Journal of Analytical Chemistry","volume":"80 6","pages":"1005 - 1016"},"PeriodicalIF":1.1,"publicationDate":"2025-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145161960","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}

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Using Fluorescence Polarization Immunoassay for the Determination of Flunixin in Milk 荧光偏振免疫法测定牛奶中的氟尼辛

IF 1.1 4区化学

Journal of Analytical Chemistry Pub Date : 2025-07-05 DOI: 10.1134/S1061934825700376

D. A. Arutyunyan, L. I. Mukhametova, I. A. Shanin, S. E. Kondakov, S. A. Eremin

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Effect of Nonionic Surfactants on the Intensity of Metal Lines in Drop-Spark Discharge Spectra 非离子表面活性剂对滴-火花放电光谱中金属线强度的影响

IF 1.1 4区化学

Journal of Analytical Chemistry Pub Date : 2025-07-05 DOI: 10.1134/S1061934825700352

A. A. Zhirkov, V. V. Yagov

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Direct Analysis of Vegetable Oils by Atmospheric Pressure Laser Plasma Ionization Combined with Machine Learning Methods 常压激光等离子体电离结合机器学习方法直接分析植物油

IF 1.1 4区化学

Journal of Analytical Chemistry Pub Date : 2025-07-05 DOI: 10.1134/S1061934825700364

K. Yu. Kravets, S. I. Timakova, A. A. Grechnikov, S. M. Nikiforov

{"title":"Direct Analysis of Vegetable Oils by Atmospheric Pressure Laser Plasma Ionization Combined with Machine Learning Methods","authors":"K. Yu. Kravets, S. I. Timakova, A. A. Grechnikov, S. M. Nikiforov","doi":"10.1134/S1061934825700364","DOIUrl":"10.1134/S1061934825700364","url":null,"abstract":"The atmospheric pressure laser plasma ionization (APLPI) method, in combination with machine learning methods, is tested to solve the problem of vegetable oil classification. Samples of olive, rapeseed, sunflower, and linseed oils are studied. The samples are classified based on the mass-spectrometric profiles of volatile organic compounds emitted by the oils. It is shown that, in conducting hierarchical cluster analysis (HCA) with preliminary feature selection by the ANOVA method and reducing the dimensions of the response matrix using the t-distributed stochastic neighbor embedding (t-SNE), each type of oil forms a distinct cluster. Using an example of analyzing olive and rapeseed oil mixtures, it is demonstrated that a combination of the APLPI method with the multiple linear regression (MLR) method ensures the quantitative determination of the proportion of oils in the studied mixtures. The developed approach allows for the rapid and direct non-destructive analysis of vegetable oils without sample preparation and can be used to identify counterfeit products.","PeriodicalId":606,"journal":{"name":"Journal of Analytical Chemistry","volume":"80 6","pages":"1022 - 1029"},"PeriodicalIF":1.1,"publicationDate":"2025-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145161857","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}

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