Yuebin Yu, Guoqing Chen, Chaoqun Ma, Lei Li, Taiqun Yang, Chun Zhu, Hui Gao, Anqi Hu, Yali Qian, Xingyi Guo, Wenhui Yang, Tingjian Yang and Wang Liu
{"title":"A fluorescent probe based on the interaction of ofloxacin with gold nanoparticles for the sensitive detection of melamine†","authors":"Yuebin Yu, Guoqing Chen, Chaoqun Ma, Lei Li, Taiqun Yang, Chun Zhu, Hui Gao, Anqi Hu, Yali Qian, Xingyi Guo, Wenhui Yang, Tingjian Yang and Wang Liu","doi":"10.1039/D5AY00765H","DOIUrl":"10.1039/D5AY00765H","url":null,"abstract":"<p >Melamine (MEL) is frequently adulterated in dairy products to manipulate protein content test results due to its high nitrogen content. In this study, a fluorescent probe based on ofloxacin (OFL) and gold nanoparticles (AuNPs) was proposed for the specific and sensitive detection of MEL. In the pH range of 4.5–7.5, the fluorescence spectrum of OFL exhibits a high degree of overlap with the absorption spectrum of AuNPs, and interactions based on fluorescence resonance energy transfer (FRET) occur, with significant quenching of OFL fluorescence accompanied by a change in fluorescence lifetime. After being incorporated into MEL, the amino group of MEL specifically interacted with the surface of AuNPs through coordination. This interaction triggered the aggregation of AuNPs, which in turn led to the fluorescence recovery of OFL. The detection of melamine was accomplished by quantifying the change in fluorescence intensity of OFL. Under optimized conditions, the MEL concentration exhibited a strong linear relationship with the relative fluorescence intensity of the probe (<em>R</em><small><sup>2</sup></small> = 0.994) within a range of 0.1 to 1.6 μM. The limit of detection was determined to be 7.28 nM. It is noteworthy that the method was validated in real milk samples, with recovery rates ranging from 98.2% to 107.1%. The method exhibits excellent selectivity and sensitivity for MEL, making it a suitable tool for the environmental detection of milk.</p>","PeriodicalId":64,"journal":{"name":"Analytical Methods","volume":" 29","pages":" 6133-6141"},"PeriodicalIF":2.7,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144641266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An electrochemical green PC/IL@GCE sensor for trace-level detection of hazardous triclopyr herbicide in serum and fruits.","authors":"Puja Tomar, Nimisha Jadon, Swati Shrivastava","doi":"10.1039/d5ay00516g","DOIUrl":"https://doi.org/10.1039/d5ay00516g","url":null,"abstract":"<p><p>The present work reports a green approach for the development of a new electrochemical sensor based on a pectin and ionic liquid composite (PC/IL) for sensitive detection of triclopyr (TCP), which is a useful pesticide. The fabricated sensor was characterized using microscopic (Scanning Electron Microscopy (SEM)), spectroscopic (Energy Dispersive X-ray (EDX) spectroscopy, ultraviolet-visible (UV-vis) spectroscopy, X-ray diffraction (XRD), Fourier Transform Infrared (FTIR) spectroscopy, Electrochemical Impedance Spectroscopy (EIS)), and cyclic voltammetric methods. The sensor displayed a large surface area, high conductivity, and rich porosity, which contributed to achieving high electrochemical performances toward sensing applications. Experimental parameters, including pH, solvent, concentration, frequency, and amplitude, were optimized for the detection of TCP at PC/IL@GCE using voltammetric techniques. The developed sensor exhibited high sensitivity, selectivity and reproducibility for TCP detection with the detection limit (LOD) and quantification limit (LOQ) as low as 223 pg mL<sup>-1</sup> and 745 pg mL<sup>-1</sup>, respectively. The electrode also exhibited satisfactory recovery in the range of 99.64-101.92%, 99.44-100.87%, and 99.02-101.40% for the detection of TCP in real samples of human serum, tomato, and apple, respectively. Additionally, the environmental sustainability of the developed sensor was assessed, demonstrating a 92% greener aspect.</p>","PeriodicalId":64,"journal":{"name":"Analytical Methods","volume":" ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144635681","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Proof of concept for visual detection of the Helicobacter pylori CagA gene using gold nanoparticle-assisted LAMP and freezing methods†","authors":"Huseyin Tombuloglu","doi":"10.1039/D5AY00339C","DOIUrl":"10.1039/D5AY00339C","url":null,"abstract":"<p > <em>Helicobacter pylori</em> is an infectious bacterium causing sores and inflammation in the stomach or duodenum and may also lead to gastric cancer. CagA-positive strains are generally considered more virulent and are associated with a higher risk of developing severe gastric diseases. Besides current detection modalities, non-invasive, sensitive, and early detection of <em>H. pylori</em> is paramount for preventing associated diseases. Loop-mediated isothermal amplification (LAMP) represents a molecular diagnostic technique characterized by its isothermal reaction conditions and enhanced sensitivity. In addition, nanoparticles are extensively used for the diagnosis of pathogens. This study combines the LAMP method with gold nanoparticles (AuNP), namely AuNP–LAMP, for the colorimetric detection of the <em>H. pylori CagA</em> gene. Additionally, the freezing method used in the preparation of the AuNP–CagA conjugate speeds up the preparation process to within 15 minutes. The assay was tested on the <em>CagA</em> gene (443 bp)-containing synthetic plasmid and stool DNA samples. The assay enables visual (colorimetric) identification, obviating the need for expensive detection modalities. The inclusion of AuNPs eliminates the need for pH-dependent dyes and possible mis-amplification, thus improving the sensitivity of the assay. This could enable the detection of <em>H. pylori</em> in samples with low bacterial loads, such as stool, saliva, and gastric juice.</p>","PeriodicalId":64,"journal":{"name":"Analytical Methods","volume":" 29","pages":" 6107-6116"},"PeriodicalIF":2.7,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144625022","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Samira Abbasi-Moayed, Ghazaleh Mohammad Bagheri, Vanik Gholipour and Soheil Sojdeh
{"title":"Colorimetric detection of l-Dopa via anti-etching of Au nanorods catalyzed by an MIL-88A (Fe)-TMB system†","authors":"Samira Abbasi-Moayed, Ghazaleh Mohammad Bagheri, Vanik Gholipour and Soheil Sojdeh","doi":"10.1039/D5AY00805K","DOIUrl":"10.1039/D5AY00805K","url":null,"abstract":"<p > <small>L</small>-Dopa (<small>L</small>-3,4-dihydroxyphenylalanine) is a key precursor of dopamine and is extensively used in the treatment of Parkinson's disease. Accurate and efficient monitoring of <small>L</small>-Dopa levels is essential for optimizing therapeutic efficacy. In this study, we developed a novel and sensitive colorimetric sensor for <small>L</small>-Dopa detection based on the inhibition of gold nanorod (AuNR) etching by TMB<small><sup>2+</sup></small>. The sensor utilizes the antioxidant properties of <small>L</small>-Dopa, which inhibit the oxidation of AuNRs induced by the oxidized product of 3,3′,5,5′-tetramethylbenzidine (TMB) in the presence of H<small><sub>2</sub></small>O<small><sub>2</sub></small>. The MIL-88A (Fe) metal–organic framework (MOF) catalyzes the formation of TMB<small><sup>2+</sup></small>, which subsequently oxidizes Au<small><sup>0</sup></small> to Au<small><sup>+</sup></small>, converting AuNRs into spherical AuNPs and causing a distinct blue shift in the plasmonic peak. However, in the presence of <small>L</small>-Dopa, the oxidation of TMB is suppressed, thereby preserving the shape and optical properties of AuNRs. This colorimetric method is simple, rapid, and cost-effective, and shows great promise for non-invasive <small>L</small>-Dopa monitoring in clinical and diagnostic applications.</p>","PeriodicalId":64,"journal":{"name":"Analytical Methods","volume":" 29","pages":" 6002-6008"},"PeriodicalIF":2.7,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144606815","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Julia Shaw, Jolene Lesuk, Lola Rabinovitch, Taylor Filewood, Honoria Kwok, Jeffrey Yan, Pamela Brunswick, Tao Huan and Dayue Shang
{"title":"Efficient oil spill identification utilizing hydrophobic sampling paper and gas chromatography/mass spectrometry†","authors":"Julia Shaw, Jolene Lesuk, Lola Rabinovitch, Taylor Filewood, Honoria Kwok, Jeffrey Yan, Pamela Brunswick, Tao Huan and Dayue Shang","doi":"10.1039/D5AY00503E","DOIUrl":"10.1039/D5AY00503E","url":null,"abstract":"<p >With oil spills imposing detrimental effects on marine environments and their associated legal implications, accurate and efficient oil spill identification is crucial to determine clean-up procedures and assign responsibility. The standard forensic method for oil spill identification, developed by the European Committee for Standardization (CEN), utilizes gas chromatography mass spectrometry (GC/MS) and comparison of diagnostic ion ratios derived from hydrocarbon biomarkers to match source oil samples with environmental spills. This study explored the use of hydrophobic paper as a convenient sampling method for oil spill forensic investigation. Hydrophobic paper was dipped into the surface of unweathered and weathered oil slicks including marine diesel, crude oil, and heavy fuel oils prior to simple extraction in a binary organic solvent. The extracts were concentrated by nitrogen blowdown and analyzed by GC/MS for subsequent diagnostic ion ratio analysis and ion ratio bar graph oil-matching comparison. Simulated environmental oil samples were successfully matched with their source materials after forty-three days of weathering for all the listed oils apart from heavy fuel oils, which were identified after fifty days. The use of the convenient paper sampling technique in conjunction with GC/MS diagnostic ratio analysis demonstrated a promising approach to enhance the efficiency of oil spill forensic investigations.</p>","PeriodicalId":64,"journal":{"name":"Analytical Methods","volume":" 29","pages":" 6073-6087"},"PeriodicalIF":2.7,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144606881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A molecularly imprinted electrochemical sensor for ovalbumin based on flower-like CuS nanomaterials†","authors":"Haijing Zhou, Xiaoxi Mao, Enguang Jiao, Xiaotian Wang, Kunhua Wang, Meili Guan, Linzheng Ma, Meng Gao, Hao Yu and Wei Chen","doi":"10.1039/D5AY00843C","DOIUrl":"10.1039/D5AY00843C","url":null,"abstract":"<p >A molecularly imprinted electrochemical sensor (SPCE@CuS/MIPs) for the quantitative detection of ovalbumin (OVA) was designed based on a CuS-modified screen-printed carbon electrode. CuS with a flower-like structure is conducive for increasing the specific surface area and adsorption capacity of the material and therefore improving the electrochemical response of the sensors. The imprinted polymers were deposited on the surface of SPCE@CuS by the electropolymerization method in the presence of polydopamine (PDA) and OVA. The morphology and chemical composition of the imprinted film were characterized <em>via</em> scanning electron microscopy and X-ray photoelectron spectroscopy. Furthermore, the electrochemical performance of the sensor was investigated by cyclic voltammetry and electrochemical impedance spectroscopy. Under optimal conditions, the SPCE@CuS/MIPs sensor demonstrated a linear detection range of 10–600 μM for OVA with a detection limit of 0.84 μM (S/N = 3). The sensor also exhibited excellent selectivity, reproducibility and stability. Finally, the method was successfully applied to the determination of OVA in egg white with satisfactory recoveries. This study provides a sensitive and efficient method for the determination of OVA.</p>","PeriodicalId":64,"journal":{"name":"Analytical Methods","volume":" 29","pages":" 6088-6097"},"PeriodicalIF":2.7,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144606814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sina Mohammad Mehri, Mir Ali Farajzadeh and Mohammad Reza Afshar Mogaddam
{"title":"Matrix clean-up prior to extraction: a novel dispersive micro solid-phase strategy for determining some antidepressants in dam water, pharmaceutical wastewater, and follicular fluid†","authors":"Sina Mohammad Mehri, Mir Ali Farajzadeh and Mohammad Reza Afshar Mogaddam","doi":"10.1039/D5AY00741K","DOIUrl":"10.1039/D5AY00741K","url":null,"abstract":"<p >For the first time, an analytical strategy was developed that prioritizes the removal of matrix interferences rather than directly preconcentrating analytes, enabling accurate extraction and quantification of antidepressants from complex real samples. A core–shell magnetic metal–organic framework (Cu-BTC@Fe<small><sub>3</sub></small>O<small><sub>4</sub></small>) was employed to effectively adsorb and eliminate matrix components, thereby cleaning up the sample matrix and facilitating analyte extraction. The integration of dispersive micro solid-phase extraction for matrix removal with vortex-assisted liquid–liquid microextraction and gas chromatography-flame ionization detection (GC-FID) resulted in excellent analytical performance. The method achieved low limits of detection (0.80–1.05 μg L<small><sup>−1</sup></small>) and limits of quantification (2.70–3.51 μg L<small><sup>−1</sup></small>), high enrichment factors (300–355), acceptable extraction recoveries (60–71%), and wide linear ranges (3.5–10 000 μg L<small><sup>−1</sup></small>). Additionally, the reusability of the adsorbent enhanced the method's environmental sustainability and cost-effectiveness. By prioritizing matrix cleanup as a crucial initial step, this innovative approach offers a robust and practical solution for the trace analysis of antidepressants in highly contaminated environments.</p>","PeriodicalId":64,"journal":{"name":"Analytical Methods","volume":" 29","pages":" 6098-6106"},"PeriodicalIF":2.7,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144606882","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cody W. Leasor, Kelly L. Vernon, Yunong Wang, Reed E. Baker and Lane A. Baker
{"title":"3D-printed accessories for nano/microelectrodes†","authors":"Cody W. Leasor, Kelly L. Vernon, Yunong Wang, Reed E. Baker and Lane A. Baker","doi":"10.1039/D5AY00865D","DOIUrl":"10.1039/D5AY00865D","url":null,"abstract":"<p >Rapid prototyping and 3D-printed devices have become important enabling technologies for measurement science. Work presented here aims to add to the 3D-printed toolset by demonstrating the economical production and application of printed centrifuge and electrode holders for micro and nanoelectrodes. These holders provide freedom of configuration and design and can also circumvent availability issues which may exist for commercial electrode holders. Here we demonstrate 3D-printed centrifuge holders which aid in filling small pipettes with fluid and 3D-printed electrode holders used both in electroanalytical probe characterization and in scanning ion conductance microscopy.</p>","PeriodicalId":64,"journal":{"name":"Analytical Methods","volume":" 28","pages":" 5973-5981"},"PeriodicalIF":2.7,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.rsc.org/en/content/articlepdf/2025/ay/d5ay00865d?page=search","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144582604","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jianing Shen, Bo Zhang, Tianhao Xue, Yao Zhang and Guixian Zhu
{"title":"Multi-component metabolite electrochemical detection and analysis based on machine learning†","authors":"Jianing Shen, Bo Zhang, Tianhao Xue, Yao Zhang and Guixian Zhu","doi":"10.1039/D5AY00431D","DOIUrl":"10.1039/D5AY00431D","url":null,"abstract":"<p >Metabolic molecules are highly correlated with various physiological indicators and diseases, so it is particularly important to monitor the levels of multiple metabolites in the body. Due to the similar electrochemical properties of uric acid (UA), dopamine (DA), and ascorbic acid (AA), multi-component detection of these substances is challenging. When establishing relationships between electrochemical characteristics and concentrations of the respective components, there will be issues such as overlapping peaks and other difficulties. In order to accurately identify the components and determine their concentration in the detection solution, we designed a multi-component detection experiment for AA, UA, and DA. After obtaining the detection results, we applied curve smoothing and feature extraction to construct classification and regression machine learning models. The ANN model achieved the highest accuracy of 94.06% among the five classification models evaluated. Regression models were built using RF and XGBoost, with the best performing XGBoost model achieving an average R-squared prediction of 96.2%. With high component discrimination and prediction accuracy, these models ensure user-friendliness and support qualitative and quantitative analysis of multi-component solutions.</p>","PeriodicalId":64,"journal":{"name":"Analytical Methods","volume":" 28","pages":" 5939-5950"},"PeriodicalIF":2.7,"publicationDate":"2025-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144574488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Islam M. Mostafa, Demiana W. Fakhry, Mohamed A. Abdelshakour and Deena A. M. Nour El-Deen
{"title":"Harnessing zinc(ii) chelation for fluorescence determination of besifloxacin in ophthalmic and biological matrices†","authors":"Islam M. Mostafa, Demiana W. Fakhry, Mohamed A. Abdelshakour and Deena A. M. Nour El-Deen","doi":"10.1039/D5AY00894H","DOIUrl":"10.1039/D5AY00894H","url":null,"abstract":"<p >Besifloxacin (BFN), a fluoroquinolone antibiotic, exhibits weak native fluorescence intensity. A sensitive and rapid spectrofluorimetric approach was developed to enhance the intrinsic fluorescence of BFN through complexation with zinc(<small>II</small>) as an electron acceptor in phosphate buffer (pH 6.0). The resulting BFN–Zn<small><sup>2+</sup></small> complex demonstrated high fluorescence intensity, enabling highly sensitive detection of BFN. Among various tested metal ions, Zn<small><sup>2+</sup></small> was effective in enhancing the native fluorescence of BFN due to its favorable ionic radius, flexible coordination number, and strong affinity for oxygen and nitrogen donor atoms present in BFN. Under optimum conditions, a significant increase in the intensity of BFN fluorescence was observed at 440 nm following excitation at 274 nm. The quantification and detection limits were calculated to be 6.08 and 2.0 ng mL<small><sup>−1</sup></small>, respectively, and the relationship between emission intensity and BFN concentration was linear from 10 to 150 ng mL<small><sup>−1</sup></small>. Notably, the binding ratio between BFN and Zn<small><sup>2+</sup></small> ions was found to be 2 : 1, respectively, and this ratio was confirmed by the Job's plot method. The method was validated according to ICH guidelines. The proposed method was successfully applied to quantify the cited drug in its pure state, ophthalmic preparations, and spiked aqueous humor with recovery values ranging from 96.29% to 98.21% in aqueous humor samples.</p>","PeriodicalId":64,"journal":{"name":"Analytical Methods","volume":" 28","pages":" 5860-5867"},"PeriodicalIF":2.7,"publicationDate":"2025-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144574486","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}