{"title":"Rapid phosgene detection with red emissive probe in solution and Vapor Phase: Emergence of delayed fluorescence","authors":"Sulekha Kumari Pandit, Gopal Das","doi":"10.1016/j.aca.2025.344695","DOIUrl":"10.1016/j.aca.2025.344695","url":null,"abstract":"<div><h3>Background</h3><div>Phosgene is a highly toxic, volatile, and notorious gas that needs quick attention due to its significant threats to public safety and humanity that could arise from unexpected terrorist attacks and industrial disasters. Although multiple approaches based on diverse concepts have been published for phosgene detection, they are still hampered by low mobility, high cost, and complex processes. Hence, quick, convenient, and accurate detection of phosgene is a current need of the time. Therefore, user-friendly alternatives that are easy to manage, have quick response times, and bear the potential for real-time monitoring were required.</div></div><div><h3>Results</h3><div>This study aims to present the development of a highly selective and sensitive colorimetric and fluorometric probe that can detect phosgene in a turn-on fluorescence mode, having a 15-fold increase in intensity, with a visible colour change from yellow to blue, allowing for visual identification without the requirement of specialized bulky equipment. Additionally, the probe itself had a distinct response to pH and viscosity. The probe exhibits a high level of selectivity for phosgene in the presence of other interfering substances. The final formed compound with phosgene shows a new property of thermally activated delayed fluorescence, having a lifetime of 7.78 μs. This response was due to an acylation process that led to the formation of a new product, investigated through various analytical tools such as HPLC, IR, Mass, and other analytical tools.</div></div><div><h3>Significance</h3><div>The probe reacts in less than 5 s and has a detection limit of 17.7 ppb. It is able to detect the presence of phosgene in various soil samples. An easy and handy smartphone-based paper test kit was fabricated, which gave a distinct colour in different channels, showing superior capability of sensing phosgene in any possible channel available.</div></div>","PeriodicalId":240,"journal":{"name":"Analytica Chimica Acta","volume":"1378 ","pages":"Article 344695"},"PeriodicalIF":6.0,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145127932","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dujuan Li , Mingzhu Yang , Wenhui Li , Ao Wang , Xinyi Wang , Liang Hong , Linxi Dong , Hong Xu , Gaofeng Wang
{"title":"WS2/CuO-based non-enzymatic sensor for the detection of glucose in sweat","authors":"Dujuan Li , Mingzhu Yang , Wenhui Li , Ao Wang , Xinyi Wang , Liang Hong , Linxi Dong , Hong Xu , Gaofeng Wang","doi":"10.1016/j.aca.2025.344696","DOIUrl":"10.1016/j.aca.2025.344696","url":null,"abstract":"<div><h3>Background</h3><div>Traditional blood glucose monitoring requires piercing the skin to obtain blood samples, which brings inconvenience and discomfort to diabetic patients. Sweat glucose content has been proven to be related to blood glucose concentration, so sweat glucose detection shows significant advantages in non-invasive blood glucose monitoring. The performance of enzyme-based glucose sensors is easily affected by external environments such as temperature and pH. Therefore, there is an urgent need to develop non-enzymatic glucose sensors with good stability, low cost and high performance for sweat glucose detection.</div></div><div><h3>Results</h3><div>In this study, a non-enzymatic glucose sensor had been successfully fabricated by integrating copper oxide (CuO) nanoparticles with tungsten disulfide (WS<sub>2</sub>) nanosheets obtained via a liquid-phase exfoliation method. The sensor was characterized using scanning electron microscopy (SEM) and electrochemical measurements, showing that WS<sub>2</sub>/CuO nanocomposites formed a honeycombed-like surface improving the catalytic ability of glucose. The fabricated non-enzymatic amperometric glucose sensor is capable of detecting a wide range of target concentrations, from 0.1 mM to 20 mM. The experiment found that the sensor response signal has a linear relationship with the target concentration in the range of 0.1 mM–2 mM and 2 mM–20 mM, respectively, and the corresponding detection sensitivities are 311.23 μA mM<sup>−1</sup> cm<sup>−2</sup> and 238.3 μA mM<sup>−1</sup> cm<sup>−2</sup> under optimized experimental conditions. The sensor has a detection limit as low as 0.65 μM. The sensor also has good selectivity, repeatability, reproducibility and stability. Finally, the fabricated sensor was applied to the detection of glucose in artificial sweat and human sweat.</div></div><div><h3>Significance</h3><div>The experimental results compared with the spectrophotometric method illustrate the excellent accuracy of the non-enzymatic glucose sensor proposed in this study in detecting real sweat sample analysis, highlighting its great potential for future practical applications.</div></div>","PeriodicalId":240,"journal":{"name":"Analytica Chimica Acta","volume":"1378 ","pages":"Article 344696"},"PeriodicalIF":6.0,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145127931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Victor C.L. Lee , Khanh C.K. Nguyen , Linglan Zhu , Chloe A.K. White , Yong Jin Lim , Tao Huan , Thomas J. Velenosi
{"title":"DIATAGeR: Triacylglycerol annotation of data-independent acquisition based lipidomics","authors":"Victor C.L. Lee , Khanh C.K. Nguyen , Linglan Zhu , Chloe A.K. White , Yong Jin Lim , Tao Huan , Thomas J. Velenosi","doi":"10.1016/j.aca.2025.344698","DOIUrl":"10.1016/j.aca.2025.344698","url":null,"abstract":"<div><h3>Background</h3><div>Triacylglycerols (TGs) are the most abundant lipids in the human body and the primary source of energy storage. TGs are comprised of three fatty acyls with various lengths and double bond composition, complicating structural annotation when performing lipidomics by LCMS. Data-independent acquisition (DIA) based lipidomics enables a continuous and unbiased acquisition of all TGs, creating the potential for more comprehensive TG analysis. <strong>However, TG identification in DIA lipidomics data is challenging due to the difficulty analyzing multiplexed tandem mass spectra (MS2).</strong></div></div><div><h3>Results</h3><div>In this study, we present DIATAGeR, an R package aimed to improve and automate TG identifications to the molecular species level in DIA-based lipidomics. With DIATAGeR, TGs are identified using a TG-centric approach, where each TG in the reference database is considered as an analysis target, searched in DIA spectra, and scored using a logistic regression machine learning algorithm. Additionally, DIATAGeR uses a false discovery rate (FDR) correction calculated by a target-decoy approach to improve the confidence of TG identification and limit false positives due to interference from unrelated ions. The performance of DIATAGeR was validated in a lipidomic study of liver and plasma samples from mice with metabolic dysfunction-associated steatohepatitis (MASH) and healthy controls. All 9 TG standards were annotated at an FDR <0.1 in both datasets. When benchmarked against MS-DIAL, TGs identified by DIATAGeR contained 18 % and 12 % more even-carbon fatty acyls in liver and plasma datasets, respectively.</div></div><div><h3>Significance</h3><div>DIATAGeR is a valuable tool for streamlining complex TG annotation in DIA-lipidomics data. It supports vendor-neutral MS spectra data formats and offers a customizable reference database. By combining TG-centric and target-decoy approaches, DIATAGeR showed improvements in TG identification by addressing primary challenges associated with multiplexed MS2 spectra. DIATAGeR is freely available at <span><span>https://github.com/Velenosi-Lab/DIATAGeR</span><svg><path></path></svg></span>.</div></div>","PeriodicalId":240,"journal":{"name":"Analytica Chimica Acta","volume":"1378 ","pages":"Article 344698"},"PeriodicalIF":6.0,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145127935","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ali Pahlevan, Somaiyeh Khodadadi Karimvand, Hamid Abdollahi
{"title":"Matrix effect assessment via matrix matching strategy using multivariate curve resolution methods","authors":"Ali Pahlevan, Somaiyeh Khodadadi Karimvand, Hamid Abdollahi","doi":"10.1016/j.aca.2025.344692","DOIUrl":"10.1016/j.aca.2025.344692","url":null,"abstract":"<div><h3>Background</h3><div>Multivariate calibration models in analytical chemistry often suffer from matrix effects due to variations in sample composition and instrumental conditions. These effects present a major challenge, often resulting in inaccurate predictions due to spectral differences and concentration mismatches between unknown samples and calibration datasets. Existing strategies, such as standard addition and local modeling, are limited in addressing both aspects simultaneously. There is a critical need for a systematic approach that enhances calibration model robustness by ensuring spectral similarity and concentration alignment, thereby improving prediction accuracy across diverse sample matrices.</div></div><div><h3>Results</h3><div>We developed a matrix-matching procedure using Multivariate Curve Resolution–Alternating Least Squares (MCR-ALS) to enhance the accuracy and robustness of multivariate calibration models. Spectral matching is assessed via net analyte signal (NAS) projections and Euclidean distance, isolating analyte and non-analyte contributions. Additionally, concentration matching is performed by evaluating the alignment of predicted concentration ranges between unknown samples and calibration sets, ensuring consistency across varying sample compositions. The method was rigorously validated using both simulated datasets and real-world analytical data, including near-infrared (NIR) spectra of corn and nuclear magnetic resonance (NMR) spectra of alcohol mixtures. In all tested scenarios, the matrix-matching procedure successfully identified optimal calibration subsets that minimized matrix effects. This approach led to substantially improved prediction performance by effectively reducing errors caused by spectral shifts, intensity fluctuations, and concentration mismatches, outperforming conventional calibration strategies in diverse and complex matrices.</div></div><div><h3>Significance</h3><div>This MCR-ALS-based matrix-matching framework enhances multivariate calibration by systematically selecting calibration sets that match spectrally and in concentration with unknown samples. By minimizing matrix-induced errors, it ensures robust and accurate predictions. Its versatility across analytical platforms and ability to handle diverse matrix effects make it a valuable tool for analytical chemistry, with potential for broad application in real-world analytical challenges.</div></div>","PeriodicalId":240,"journal":{"name":"Analytica Chimica Acta","volume":"1378 ","pages":"Article 344692"},"PeriodicalIF":6.0,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145103746","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Antonio Bazo , Lorién López-Villellas , Matilde Mataloni , Eduardo Bolea-Fernandez , Ana Rua-Ibarz , Marco Grotti , Maite Aramendía , Martín Resano
{"title":"Improving detection and figures of merit in single-particle inductively coupled plasma-mass spectrometry via transient event heights","authors":"Antonio Bazo , Lorién López-Villellas , Matilde Mataloni , Eduardo Bolea-Fernandez , Ana Rua-Ibarz , Marco Grotti , Maite Aramendía , Martín Resano","doi":"10.1016/j.aca.2025.344694","DOIUrl":"10.1016/j.aca.2025.344694","url":null,"abstract":"<div><h3>Background</h3><div>Single-particle inductively coupled plasma-mass spectrometry (SP-ICP-MS) is a powerful method for characterizing micro- and nanoparticulate materials. The technique primarily relies on the linear relationship between the integrated intensities of individual events (peak areas) and the analyte mass, though transit times (peak widths) have also been used for quantitative purposes. This work (1) evaluates the potential of using peak heights as analytical signals in SP-ICP-MS, (2) introduces a new method for determining peak heights, and (3) explores scenarios in which peak height offers added value over the commonly used SP-ICP-MS signals.</div></div><div><h3>Results</h3><div>A new method was proposed to estimate peak height values in SP-ICP-MS accurately. The cumulative intensity across consecutive dwell times was modeled using a third-degree polynomial, from which the adjusted peak height was derived. This approach reduces the uncertainty associated with using raw maximum intensity values, yielding NP distributions comparable to those obtained via integrated intensities. The effect of dwell time on peak height was also evaluated. An optimal range (50 μs–200 μs) was identified, where a linear relationship was observed between the peak height and the square of the NP diameter. Within this range, peak height showed the lowest bias when characterizing smaller NPs, indicating the potential to improve the limit of quantification (LoQ). Additionally, peak heights proved helpful in determining the limit of detection (LoD) and setting appropriate threshold values for data processing, thereby helping to flag incorrect resultsand addressing a challenge in SP-ICP-MS analysis.</div></div><div><h3>Significance</h3><div>This is the first study to evaluate peak height as an analytical signal in SP-ICP-MS. The results highlight its advantages in specific applications, such as sizing NPs near the LoD, and in supporting the more reliable use of other signals, such as peak areas, by helping to identify incorrect threshold selection that could lead to biased distributions. Finally, monitoring peak heights allows for a more realistic and assumption-free determination of the LoD.</div></div>","PeriodicalId":240,"journal":{"name":"Analytica Chimica Acta","volume":"1378 ","pages":"Article 344694"},"PeriodicalIF":6.0,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145116865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"SURFACE PLASMON RESONANCE OPTICAL SENSORS INVOLVING NANOMATERIALS AS RELIABLE ANALYTICAL TOOLS: A CRITICAL VIEW ABOUT PERFORMANCE AND APPLICATIONS","authors":"Manuel Bartolomé, María J. Villaseñor, Ángel Ríos","doi":"10.1016/j.aca.2025.344693","DOIUrl":"https://doi.org/10.1016/j.aca.2025.344693","url":null,"abstract":"<h3>Background</h3>In the last two decades, there has been an increasing interest in the development of a new category of chemical sensors incorporating \"nanosensor\" devices, which are based on nanomaterials, thus enabling the establishment of more efficient transduction and recognition processes due to their versatile and innovative properties. Among them, the role of metallic nanoparticles (MNPs) for the construction of sensors should be highlighted due to the Localized Surface Plasmon Resonance (LSPR) phenomenon exhibited on their surface. These open interesting analytical possibilities, incorporating new advantages or new alternatives with respect to the present state-of-the-art and today problem solving.<h3>Results</h3>This review aims to provide an overview of the current state of the art in terms of specific transduction mechanisms and performance improvements on substrates, as well as analytical characterisation strategies and the most relevant applications of optical sensors based on the LSPR effect of metallic nanomaterials. Specifically, it is aimed at two major categories of optical techniques, which are grounded by distinct physicochemical transduction mechanisms. The first category encompasses surface-enhanced spectroscopies (SES), which exploit the interaction between analytes and the intense electromagnetic fields generated and localized near metallic nanoparticles (NPs). The second category comprises those optical sensors based on the LSPR band extinction within the visible range, where the absorption of radiation is modulated by changes in the dielectric environment surrounding the NPs. As a conclusive evaluation, a final critical overview is afforded, with particular concern to current challenges and limitations to achieve reliable analytical determinations.<h3>Significance</h3>The review tries to highlight, from a technical and critical point of view, the state of art of those nanotechnological and instrumental strategies recently designed involving plasmon resonance optical sensors based on MNPs, which have conducted to a very different maturity and performance degree regarding sensing scopes for the different LSPR techniques. All the outlined strategies have been exemplified with selecting applications of analytical interest.","PeriodicalId":240,"journal":{"name":"Analytica Chimica Acta","volume":"39 1","pages":""},"PeriodicalIF":6.2,"publicationDate":"2025-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145093711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A fast on-site quarantine for the detection of amphibian infection of ranavirus","authors":"Huynh Minh Triet Nguyen, Nae Yoon Lee","doi":"10.1016/j.aca.2025.344691","DOIUrl":"10.1016/j.aca.2025.344691","url":null,"abstract":"<div><h3>Background</h3><div>The ranavirus outbreak has caused high mortality in mostly amphibian species, which has led to the amphibian extinction and ecological imbalance. Besides the conventional method for ranavirus detection, some isothermal methods, including loop-mediated isothermal amplification and recombinase polymerase amplification, have also been introduced. However, previous techniques face drawbacks such as lengthy analysis and indistinguishable viral names due to similar gene sequences. Therefore, fast on-site identification of ranavirus is crucial to prevent its deadly spread, and polymerase chain reaction (PCR) is typically used to detect infected species.</div></div><div><h3>Result</h3><div>This study developed a method to precisely discriminate two ranavirus strains – frog virus 3 (FV3) and tiger frog virus (TFV) – for fast on-site quarantine via single nucleotide polymorphism (SNP) discrimination using allele-specific PCR (AS-PCR). Due to high gene sequence similarity, detection was achieved by designing a common reverse primer for FV3 and TFV, making three primers sufficient for multiplex detection. The reaction took less than 40 min and showed high specificity and sensitivity, identifying FV3 at 101 bp and TFV at 223 bp with a detection limit of approximately 1 ng/μL of genetic material. Moreover, a visible readout for amphibians infected with FV3, TFV, or both was confirmed by a color change in silver nanoparticle formation under UV illumination from a DNA-promoting silver nitrate solution.</div></div><div><h3>Significance</h3><div>The research illustrates a short analysis for the specific detection of ranavirus strains among frog infections in one pot, which has rarely been described before. Hence, this approach enables rapid on-site quarantine of infected amphibians, with broad applications in amphibian trade and conservation at border gates, wildlife sanctuaries, and farms.</div></div>","PeriodicalId":240,"journal":{"name":"Analytica Chimica Acta","volume":"1378 ","pages":"Article 344691"},"PeriodicalIF":6.0,"publicationDate":"2025-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145089018","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Engineered methionine-functionalized magnetic nanobiocomposites for precision biomonitoring of petroleum-driven heavy metal contamination in occupational and environmental health","authors":"Sarah Al-Mansoori, Jalal N. Jeber","doi":"10.1016/j.aca.2025.344690","DOIUrl":"10.1016/j.aca.2025.344690","url":null,"abstract":"<div><h3>Background</h3><div>Environmental biomonitoring of petroleum-linked heavy metal exposure remains challenging due to limitations in sensitivity, selectivity, and matrix complexity of conventional methods. This study bridges this gap by engineering methionine-functionalized magnetic nanoparticles (Fe<sub>3</sub>O<sub>4</sub>@SiO<sub>2</sub>@CPTES@Methionine) for precision monitoring. Leveraging methionine's dual-function groups, the nanoplatform selectively preconcentrates trace lead (Pb) and cadmium (Cd) from human hair/nails prior to AAS quantification. This approach specifically targets exogenous contamination from petroleum activities, distinguishing it from endogenous elements (Cu, Zn, Fe). The method enables direct linkage of industrial pollution to human exposure, addressing critical needs in occupational/environmental health.</div></div><div><h3>Results</h3><div>The nanobiocomposite achieved ultra-trace detection limits (0.003–0.03 mg/kg) and high recovery (>95 %) across all target metals, validated using certified reference materials (98–102 % recovery). Analysis revealed significantly elevated Pb (0.8–3.0 mg/kg) and Cd (0.2–0.6 mg/kg; p < 0.05) accumulation in oil field workers compared to non-exposed controls (Pb: 0.1–0.5 mg/kg; Cd: 0.03–0.1 mg/kg), directly implicating petroleum operations. In contrast, endogenous Cu (7.8–11.2 mg/kg), Zn (110–165 mg/kg), and Fe (12.3–28.1 mg/kg) levels showed no significant inter-cohort differences, confirming metabolic regulation over exogenous input. The nanoplatform demonstrated reusability (>3 cycles) without performance loss.</div></div><div><h3>Significance</h3><div>This work establishes a transformative, nanotechnology-enabled biomonitoring tool that precisely links petroleum-driven heavy metal contamination to human exposure. Its high sensitivity, selectivity, and reusability offer a scalable strategy for real-time occupational risk assessment, pollution source tracking, and environmental health management in resource-extraction zones. The methodology bridges advanced material design with practical global health applications, providing a definitive tool for exposure attribution and supporting ecological sustainability.</div></div>","PeriodicalId":240,"journal":{"name":"Analytica Chimica Acta","volume":"1377 ","pages":"Article 344690"},"PeriodicalIF":6.0,"publicationDate":"2025-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145089017","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chu Cheng, Bingyan Jiang, Hongyu Chen, Xinyi Chen, Miao Lu
{"title":"Simultaneously calibrate and detect multiple analytes to offset the effects of co-existing regents and environmental fluctuations","authors":"Chu Cheng, Bingyan Jiang, Hongyu Chen, Xinyi Chen, Miao Lu","doi":"10.1016/j.aca.2025.344689","DOIUrl":"10.1016/j.aca.2025.344689","url":null,"abstract":"<div><h3>Background</h3><div>The real water bodies contain varieties of contaminants and varying with time and climate, for which a fast and accurate in-situ approaching for simultaneously detecting multiple pollutants would be urgently on demand. Although the differential pulse voltammetry (DPV) gives a promising approach for simultaneous detection of multiple pollutants due to the high-resolution characteristic oxidation-reduction peak of target pollutants, it is very sensitive to the unpredictable environmental fluctuations, which should be addressed through specific anti-interference techniques based on synchronously achieved data.</div></div><div><h3>Results</h3><div>A multi-pollutants simultaneous calibration and detection (MSCD) strategy and corresponding electrochemical sensors were proposed. Combined with the characteristic scanning potentials of analytes, a series of diluted or analyte-added water samples were detected, and a linear regression algorithm is developed to reduce the errors caused by interfering substances, unpredictable environmental fluctuations. Applied in the detection of 40–100 μM nitrite (NO<sub>2</sub><sup>−</sup>) and 100–400 μM sulfite (SO<sub>3</sub><sup>2−</sup>), MSCD strategy has exhibited acceptable anti-interference to pH, temperature fluctuations and high concentration of interfering substances. In addition, the relative errors of multiple repeat measurements of nitrite and sulfite do not exceed 8.2 % and −8.3 %, respectively. When using different MSCD sensors, the relative errors were less than −11.6 % and 3.9 %, due to offsetting the deviation of fabrication batches. In the detection of actual water samples, the relative error is less than ±7.8 %, and proved to be significantly more accurate than commonly used electrochemical methods.</div></div><div><h3>Significance</h3><div>Compared with commonly used laboratory calibration methods, the proposed MSCD strategy exhibits excellent anti-interference performance in co-pollutant matrices with pH fluctuations and temperature changes. This MSCD strategy is expected to adapt to various electrochemical targets with appropriate sensing materials and provide an alternative option for simultaneously detecting multiple pollutants with high accuracy and repeatability.</div></div>","PeriodicalId":240,"journal":{"name":"Analytica Chimica Acta","volume":"1378 ","pages":"Article 344689"},"PeriodicalIF":6.0,"publicationDate":"2025-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145089059","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hongyu Li, Li Cen, Shiyu Liu, Ziqing Qiu, Yanfei Zhang, Xingyu Luo
{"title":"Preparation of copper-based protein-inorganic hybrid nanoflowers with peroxidase-like activity for colorimetric detection of biothiols","authors":"Hongyu Li, Li Cen, Shiyu Liu, Ziqing Qiu, Yanfei Zhang, Xingyu Luo","doi":"10.1016/j.aca.2025.344685","DOIUrl":"10.1016/j.aca.2025.344685","url":null,"abstract":"<div><h3>Background</h3><div>Biothiols play significant roles in maintaining cellular redox balance detoxification, signal transduction, and protein structure stabilization. Developing detection methods for biothiols analysis has gradually become an effective approach to monitor their contents fluctuation and evaluate these relative health problems in humans. Although conventional methods for biothiols analysis have been designed, it still remains the limitation of bulky-instrument requirements, inconvenience and inefficiency in practical measurement. Hence, there is an urgent demand to develop efficient detection methods for monitoring biothiols in real scenarios.</div></div><div><h3>Results</h3><div>By virtue of the highly stable and efficient peroxidase (POD)-like activity of nanozymes, we here propose a nanozyme-based visual detection method that rationally integrated the facile synthesized BSA-Cu<sub>3</sub>(PO<sub>4</sub>)<sub>2</sub> HNFs with a smartphone detection platform for proceeding visual and portable detection performances. In detail, we primarily utilize the bovine serum albumin (BSA) containing abundant amine and amide groups as the organic ligand and Cu<sub>3</sub>(PO<sub>4</sub>)<sub>2</sub> as the inorganic active component to successfully prepare BSA-Cu<sub>3</sub>(PO<sub>4</sub>)<sub>2</sub> HNFs, and then biothiols can be served as the competitors for disturbing the colorimetric signals produced by BSA-Cu<sub>3</sub>(PO<sub>4</sub>)<sub>2</sub> HNFs-triggered peroxidization in the TMB-H<sub>2</sub>O<sub>2</sub> system. Taking advantages of the favorable catalytic activity of BSA-Cu<sub>3</sub>(PO<sub>4</sub>)<sub>2</sub> HNFs, it enables a sensitive detection for biothiols including glutathione (GSH), cysteine (Cys), and homocysteine (Hcy). The proposed method has presented good detection performances of biothiols with linear relationships ranging from 10 to 200 μM, and the corresponding limits of detection (LODs) of GSH, Cys, and Hcy were calculated to be 5.4 μM, 3.5 μM, and 7.7 μM, respectively.</div></div><div><h3>Significance</h3><div>This proposed method has also achieved a convenient detection performance to realize biothiols analysis in real scenarios. The colorimetric signals of biothiols can be transformed into RGB values by a smartphone-based detection platform, indicating the great potential in facile, sensitive, and instrument-free analysis in monitoring biothiols contents variation.</div></div>","PeriodicalId":240,"journal":{"name":"Analytica Chimica Acta","volume":"1377 ","pages":"Article 344685"},"PeriodicalIF":6.0,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145089541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}