Analytica Chimica Acta最新文献

英文中文

Label-Free Electrochemical Levodopa Detection via Dummy Imprinted Polymers for Advanced Disease Monitoring 基于假体印迹聚合物的无标记左旋多巴电化学检测用于晚期疾病监测

IF 6.2 2区化学 Q1 CHEMISTRY, ANALYTICAL

Analytica Chimica Acta

Pub Date : 2026-01-30 DOI: 10.1016/j.aca.2026.345174

O. Jamieson, A. Dann, X. Liu, T. Oliveira Abib, K. Novakovic, J. McClements, S. Seyedin, J. Gruber, R.D. Crapnell, H. Snyder, C.E. Banks, J.A. Dawson, M. Peeters

引用次数: 0

Post-esterification preparation of carboxyl groups enriched magnetic microporous organic network for the efficient enrichment and determination of quaternary ammonium alkaloids 酯化后制备羧基富集磁微孔有机网络用于季铵盐生物碱的高效富集和测定

IF 6.2 2区化学 Q1 CHEMISTRY, ANALYTICAL

Analytica Chimica Acta

Pub Date : 2026-01-30 DOI: 10.1016/j.aca.2026.345173

Jian-Ming Liu, Jian Liu, Tian-Tian Ma, Cheng-Xiong Yang

引用次数: 0

Novel diffusion gradient in thin-films based on antibiofouling Ag/polydopamine membranes for measurement of antibiotics in natural waters 基于抗生素掺杂银/聚多巴胺膜的新型薄膜扩散梯度测定天然水体中抗生素

IF 6 2区化学 Q1 CHEMISTRY, ANALYTICAL

Analytica Chimica Acta

Pub Date : 2026-01-30 DOI: 10.1016/j.aca.2026.345157

Jiaxing Xie , Fan Ge , Xinyi Yan , Suyu Ren , Yan Wang , Feng Tan

Background

The diffusion gradient in thin-films (DGT) device is widely used for in situ measurement of pollutants in aquatic environments, offering high enrichment efficiency and robustness to environmental variations such as temperature and hydrodynamics. These characteristics make DGT particularly suitable for monitoring a diverse array of trace organic contaminants in waters. However, long-term deployment is often compromised by biofilm formation on the sampling outer membrane, which can obstruct analyte diffusion and lead to underestimation of analyte concentrations. This study addresses the need for a biofouling-resistant DGT device that maintains accuracy during extended field applications.

Results

A novel DGT device incorporating an antifouling Ag/polydopamine-modified polyethersulfone (Ag/PDA-PES) membrane was developed. The modified membrane demonstrated dual functional improvements: a 40 % reduction in water contact angle, indicating enhanced hydrophilicity, and strong antimicrobial efficacy, evidenced by an inhibition zone of 1165 μm ± 110 μm against Escherichia coli, while maintaining diffusion characteristics comparable to the original PES membrane. In extended deployment in both simulated and natural waters, the Ag/PDA-PES membrane effectively inhibited biofilm formation and maintained stable analyte diffusion coefficients over time compared to the unmodified membrane. The DGT devices showed constant sampling performance across varying pH (5.0–9.0), ionic strength (0–200 mM NaCl), and dissolved organic matter levels (0–20 mg/L). Field validation confirmed the device reliability, with measured total antibiotic concentrations (692–1062 ng/L) consistent with grab sampling.

Significance

This work signifies a step forward in DGT passive sampling technology by integrating antifouling properties directly into the membrane, thereby enabling accurate long-term monitoring of pollutants in biofilm-prone waters. Moreover, this study provides a promising strategy for improving the reliability of long-term DGT sampling, with meaningful implications for the precise monitoring and ecological risk assessment of other emerging pollutants.

薄膜扩散梯度（diffusion gradient in thin-films， DGT）装置广泛用于水生环境中污染物的原位测量，具有富集效率高、对温度和水动力等环境变化具有鲁棒性等优点。这些特点使DGT特别适合监测水中各种微量有机污染物。然而，长期部署通常会受到采样外膜上形成的生物膜的影响，这可能会阻碍分析物的扩散并导致分析物浓度的低估。本研究解决了在扩展的现场应用中保持精度的抗生物污垢DGT设备的需求。结果制备了一种新型的Ag/聚多巴胺改性聚醚砜（Ag/PDA-PES）防污膜DGT装置。改性后的膜显示出双重功能的改善：水接触角降低40%，表明亲水性增强；抗菌效果强，对大肠杆菌的抑制范围为1165 μm±110 μm，同时保持了与原始PES膜相当的扩散特性。Ag/PDA-PES膜在模拟水体和自然水体中均能有效抑制生物膜的形成，与未经修饰的膜相比，随着时间的推移，Ag/PDA-PES膜保持稳定的分析物扩散系数。DGT器件在不同的pH值（5.0-9.0）、离子强度（0-200 mM NaCl）和溶解有机物水平（0-20 mg/L）下均具有恒定的采样性能。现场验证证实了设备的可靠性，测量的抗生素总浓度（692-1062 ng/L）与抓取取样一致。这项工作标志着DGT被动采样技术向前迈进了一步，通过将防污特性直接集成到膜中，从而能够在易被生物膜覆盖的水域中对污染物进行准确的长期监测。此外，该研究为提高长期DGT采样的可靠性提供了一种有希望的策略，对其他新兴污染物的精确监测和生态风险评估具有重要意义。

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引用次数: 0

Establishment of a rapid colorimetric sensor for Microcystin-LR based on specific aptamer and positively charged gold nanoparticles 基于特异性适配体和带正电的金纳米粒子的微囊藻毒素- lr快速比色传感器的建立

IF 6 2区化学 Q1 CHEMISTRY, ANALYTICAL

Analytica Chimica Acta

Pub Date : 2026-01-30 DOI: 10.1016/j.aca.2026.345139

Xueting Cui , Jun Wang , Tingyu Hou , Ming Cai , Luozhao Wang , Yanna Liu , Jinhua Li

Eutrophication of surface freshwater drinking sources intensifies, leading blue-green algae to release massive microcystins. Microcystin-LR (MC-LR), the most toxic variant, poses severe threats to public health and environmental safety. Conventional MC-LR detection methods rely on bulky, expensive equipment and involve complex, time-consuming sample pretreatment, making them unsuitable for on-site testing. This study developed a colorimetric sensing platform based on the binding of positively charged gold nanoparticles (AuNPs) to MC-LR aptamers for simple and rapid MC-LR detection. Without MC-LR, positively charged gold nanoparticles bind to negatively charged aptamers, aggregate, and turn the solution from yellow to white. This method exhibits high sensitivity (detection limit: 0.1 μg/L) and good specificity (insensitive to interferents like MC-YR and MC-RR), with a total assay time of 55 min, providing a rapid alternative to conventional laboratory-based methods like ELISA. Tests on actual water samples showed recoveries of 96.1–119.8% with relative standard deviations <10%, demonstrating good accuracy and precision for real environmental water analysis. The method's performance suggests its potential for on-site screening, although some variability was observed in complex matrices. This visualized assay eliminates reliance on large instruments, shortens detection time, and holds great potential for environmental water sample testing.

地表淡水饮用水源富营养化加剧，导致蓝绿藻释放大量微囊藻毒素。微囊藻毒素lr （MC-LR）是毒性最大的变种，对公众健康和环境安全构成严重威胁。传统的MC-LR检测方法依赖于笨重、昂贵的设备，并且涉及复杂、耗时的样品预处理，因此不适合现场测试。本研究开发了一种基于带正电的金纳米颗粒（AuNPs）与MC-LR适配体结合的比色传感平台，用于简单、快速的MC-LR检测。没有MC-LR，带正电的金纳米颗粒与带负电的适配体结合，聚集，并将溶液从黄色变成白色。该方法灵敏度高（检出限为0.1 μg/L），特异性好（对MC-YR、MC-RR等干扰物不敏感），总检测时间为55分钟，可快速替代ELISA等传统实验室检测方法。实际水样的回收率为96.1 ~ 119.8%，相对标准偏差为10%，具有较好的准确度和精密度。该方法的性能表明其潜在的现场筛选，虽然在复杂的矩阵中观察到一些变化。这种可视化分析消除了对大型仪器的依赖，缩短了检测时间，并且在环境水样测试中具有很大的潜力。

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引用次数: 0

A Near-Infrared Ratiometric Fluorescent Probe for Visual Sensing of H2S and Monitoring Its Fluctuation in Plant Roots under Drought and Flooding Stresses 干旱和洪涝胁迫下植物根系中H2S的近红外比例荧光探针视觉感知及监测

IF 6.2 2区化学 Q1 CHEMISTRY, ANALYTICAL

Analytica Chimica Acta

Pub Date : 2026-01-29 DOI: 10.1016/j.aca.2026.345144

Ruxuan Mo, Chao Kang, Jianping Yuan, Carl Redshaw, Ying Huang, Qilong Zhang, Xiufang Yan

引用次数: 0

Detailed impurity profiling of graphene oxide fractions by robust inductively coupled plasma optical emission spectrometry monitoring 用电感耦合等离子体发射光谱法监测氧化石墨烯组分的详细杂质谱图

IF 6.2 2区化学 Q1 CHEMISTRY, ANALYTICAL

Analytica Chimica Acta

Pub Date : 2026-01-29 DOI: 10.1016/j.aca.2026.345140

Iuliia A. Poimenova, Elizaveta Yu. Zhukova, Svetlana T. Ovseenko, Nikita S. Saratovsky, Ivan K. Kiryukhin, Daria-Mariia V. Ratova, Dmitrii M. Filatov, Anastasia M. Alekseeva, Svetlana V. Smirnova, Mikhail A. Proskurnin, Ivan V. Mikheev

引用次数: 0

DPPH Rf-Shift Assay to Overcome Spectral Interference: A Rapid, Portable TLC-Based Approach for Semi-Quantitative Antioxidant Evaluation 克服光谱干扰的DPPH射频偏移分析：一种快速、便携式的基于tlc的半定量抗氧化评价方法

IF 6.2 2区化学 Q1 CHEMISTRY, ANALYTICAL

Analytica Chimica Acta

Pub Date : 2026-01-29 DOI: 10.1016/j.aca.2026.345160

Garima Singh, Perinkulam Ravi Deepa, Prabhat Nath Jha

引用次数: 0

Size assessing of different silica-based materials by asymmetrical flow field flow fractionation: from nanometers to micrometers 通过不对称流场流动分选对不同硅基材料的尺寸进行评估：从纳米到微米

IF 6.2 2区化学 Q1 CHEMISTRY, ANALYTICAL

Analytica Chimica Acta

Pub Date : 2026-01-29 DOI: 10.1016/j.aca.2026.345162

L. Sanjuan-Navarro, P. Sanchis-Angulo, Y. Moliner-Martínez, P. Campíns-Falcó

引用次数: 0

Multi-way data modelling for enhancing classification performance: Fluorescence data as a case of study 提高分类性能的多路数据建模：以荧光数据为例进行研究

IF 6 2区化学 Q1 CHEMISTRY, ANALYTICAL

Analytica Chimica Acta

Pub Date : 2026-01-27 DOI: 10.1016/j.aca.2026.345159

Jorgelina Zaldarriaga-Heredia , Antonella E. Montemerlo , José M. Camiña , Mirta R. Alcaraz , Silvana M. Azcarate , Héctor C. Goicoechea

Background

The exploitation of multidimensional information represents a key challenge in analytical chemistry, particularly for classification tasks involving complex systems. This study systematically investigates the influence of data structure—ranging from first-to third-order—on classification performance using simulated and experimental fluorescence datasets. Chemometric models based on partial least squares–discriminant analysis (PLS-DA), multi-way PLS-DA (N-PLS-DA), and parallel factor analysis combined with discriminant analysis (PARAFAC-DA) were evaluated under varying conditions of class balance, noise, and sample size. Simulated and experimental datasets based on excitation–emission fluorescence spectroscopy were used.

Results

Simulated results demonstrated that increasing data dimensionality markedly enhanced discrimination ability, yielding higher accuracy and reduced error rates. Third-order models achieved average accuracies above 93 %, improving by up to 20 % and 10 % compared to the first- and second-order models, respectively. The methodology was further validated using excitation–emission fluorescence data from extra virgin and virgin olive oils subjected to infrared heating. Both N-PLS-DA and PARAFAC-DA provided successful discrimination, with PARAFAC-DA offering superior interpretability through chemically meaningful component profiles describing degradation and oxidation processes. Overall, the findings confirm that third-order chemometric models effectively integrate structural, spectral, and kinetic information, thereby improving classification reliability and interpretability. Even under conditions of class imbalance and limited sample availability, third-order models maintained low error rates and consistently high accuracy values, confirming their robustness and generalizability.

Significance

This study provides a comprehensive evaluation of how data structure influences multivariate classification performance. The proposed approach highlights the analytical potential of higher-order data modelling as a powerful and versatile strategy for classifying complex matrices. The findings firmly establish third-order modelling as a versatile and compelling tool for analytical applications where data complexity and real-world variability are unavoidable.

多维信息的开发是分析化学的一个关键挑战，特别是涉及复杂系统的分类任务。本研究使用模拟和实验荧光数据集系统地研究了数据结构（从一阶到三阶）对分类性能的影响。在不同的类别平衡、噪声和样本量条件下，对基于偏最小二乘-判别分析（PLS-DA）、多向PLS-DA （N-PLS-DA）和平行因子分析结合判别分析（PARAFAC-DA）的化学计量模型进行了评价。采用了基于激发发射荧光光谱的模拟数据集和实验数据集。

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引用次数: 0

CRISPR/Cas12a empowered electrochemical biosensor for ultrasensitive detection of Vibrio parahaemolyticus in seafood samples 基于CRISPR/Cas12a的电化学生物传感器用于海鲜样品中副溶血性弧菌的超灵敏检测

IF 6 2区化学 Q1 CHEMISTRY, ANALYTICAL

Analytica Chimica Acta

Pub Date : 2026-01-26 DOI: 10.1016/j.aca.2026.345158

Yongfang Li , Xuan Chen , Zhexun Yang , Zijun Wang , Rui Wang

Rapid and ultrasensitive detection of Vibrio parahaemolyticus (V. parahaemolyticus, Vp) is of great significance for the early prevention of foodborne disease. Traditional methods for detecting Vp are time-consuming, exhibiting low sensitivity and specificity. In this study, CRISPR/Cas12a system is integrated with electrochemical sensing and polymerase chain reaction (PCR) to establish a PCR-based E-CRISPR biosensor for Vp detection. The target DNA extracted from Vp is amplified by PCR, then activate CRISPR/Cas12a system to cleave methylene blue (MB)-labeled hairpin DNA probes on electrode, resulting in great changes in current. The employment of hairpin DNA probes reduces the steric hindrance for Cas12a trans-cleavage, acquiring a better cleavage efficiency and sensing performance. Under optimal conditions, the limit of detection reaches 1.17 copies/μL (genomic DNA), 1.23 CFU/mL (standard bacteria), and 12.3 CFU/g (artificially contaminated shrimp samples) respectively. Moreover, the PCR-based E-CRISPR biosensor demonstrates superior reproducibility and specificity. Most importantly, the E-CRISPR biosensor were in 100 % agreement with real time quantitative PCR for the detection of 18 seafood samples, which confirms the biosensor's broad applicability for monitoring Vp in complex food matrix. Our developed E-CRISPR biosensor demonstrates to be a simple, rapid and ultrasensitive method for Vp detection in the food supply chain, and can be extended to other foodborne pathogens.

快速、超灵敏地检测副溶血性弧菌（V. parahaemolyticus, Vp）对食源性疾病的早期预防具有重要意义。传统的Vp检测方法耗时长，灵敏度和特异性低。本研究将CRISPR/Cas12a系统与电化学传感和聚合酶链反应（PCR）相结合，建立基于PCR的Vp检测E-CRISPR生物传感器。从Vp中提取的目标DNA通过PCR扩增，然后激活CRISPR/Cas12a系统在电极上切割亚甲基蓝（MB）标记的发夹DNA探针，引起电流的巨大变化。利用发夹DNA探针降低了Cas12a反式切割的空间位阻，获得了更好的切割效率和传感性能。在最佳条件下，检出限分别为1.17 copies/μL（基因组DNA）、1.23 CFU/mL（标准菌）和12.3 CFU/g（人工污染虾样品）。此外，基于pcr的E-CRISPR生物传感器具有优越的重复性和特异性。最重要的是，E-CRISPR生物传感器与实时定量PCR检测18个海产品样品的一致性为100%，这证实了该生物传感器在复杂食品基质中监测Vp的广泛适用性。我们开发的E-CRISPR生物传感器是一种简单、快速、超灵敏的食品供应链Vp检测方法，可以扩展到其他食源性病原体。

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引用次数: 0

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全部 ACS Publications Elsevier ieeexplore Springer The Royal Society of Chemistry Wiley

期刊

Analytica Chimica Acta

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