Microchemical Journal最新文献_第2页

Sensitive PEC detection of alkaline phosphatase and organophosphorus pesticides via enzyme-catalyzed signal amplification on a CdS@in₂S₃ platform 在CdS@in₂S₃平台上通过酶催化信号放大对碱性磷酸酶和有机磷农药进行灵敏的PEC检测

IF 4.9 2区化学 Q1 CHEMISTRY, ANALYTICAL

Microchemical Journal

Pub Date : 2026-01-29 DOI: 10.1016/j.microc.2026.117158

Xiaoying Liu , Yu Xie , Yuee Zhong , Jingshu Li , Meiling Liu , Youyu Zhang , Qiang Li

Alkaline phosphatase (ALP) is a critical biomarker for the diagnosis of various diseases. Consequently, the precise detection of ALP activity is indispensable for clinical diagnosis, biomedical research, and the screening of enzyme inhibitors. Meanwhile, organophosphorus pesticides (OPs), a class of highly toxic and persistent environmental contaminants, have raised significant concerns due to their extensive use in agriculture and their potential risks to both ecosystems and human health. Here, we developed a novel photoelectrochemical (PEC) biosensing platform based on an optimized CdS@In₂S₃ heterojunction for the detection of ALP activity and OPs compounds. Through systematic optimization of the In₂S₃ incorporation ratio, a significant enhancement in photoelectric conversion efficiency compared to pristine CdS was achieved. The sensing mechanism exploits the synergistic effects of the ALP mediated hydrolysis of L-ascorbyl-2-phosphate trisodium salt (AAP) to generate ascorbic acid (AA) and the AA-induced photocurrent amplification of the CdS@In₂S₃ heterojunction. This dual signal amplification strategy enabled ultrasensitive detection of ALP activity with a wide linear range of 0.17–17,000 U/L and an exceptionally low detection limit (LOD) of 0.0083 U/L. Chlorpyrifos (CPF) inhibits the activity of ALP, thereby reducing the amount of AA generated from AAP catalyzed by ALP. This results in attenuation of the AA-dependent photocurrent signal. By quantifying the degree of such photocurrent suppression, highly sensitive detection of CPF was achieved with a broad dynamic range of 0.1 ng/mL to 5 μg/mL and the LOD of 0.03 ng/mL. The sensor exhibited excellent operational stability (<5.5% RSD over 50 cycles), high selectivity against common interferents, and reliable performance in complex matrices (89–114% recovery in serum and agricultural samples). This work not only presents a robust analytical tool for food safety and biological monitoring but also provides new insights into the design of multifunctional heterojunction-based PEC sensors for dual-targets detection.

碱性磷酸酶（ALP）是诊断多种疾病的重要生物标志物。因此，ALP活性的精确检测对于临床诊断、生物医学研究和酶抑制剂的筛选是必不可少的。与此同时，有机磷农药是一类剧毒和持久性环境污染物，由于其在农业中的广泛使用及其对生态系统和人类健康的潜在风险而引起了重大关注。在这里，我们开发了一种基于优化的CdS@In₂S₃异质结的新型光电化学（PEC）生物传感平台，用于检测ALP活性和OPs化合物。通过系统优化In₂S₃混合比，实现了与原始cd相比光电转换效率的显著提高。该传感机制利用了ALP介导的l-抗坏血酸-2-磷酸三钠盐（AAP）水解生成抗坏血酸（AA）和AA诱导的CdS@In₂S₃异质结光电流放大的协同效应。该双信号放大策略可实现ALP活性的超灵敏检测，线性范围为0.17 ~ 17000 U/L，检出限（LOD）极低，为0.0083 U/L。毒死蜱（Chlorpyrifos， CPF）抑制了ALP的活性，从而减少了由ALP催化的AAP产生的AA量。这导致了依赖于aa的光电流信号的衰减。通过对这种光电流抑制程度的量化，实现了CPF的高灵敏度检测，动态范围为0.1 ng/mL ~ 5 μg/mL， LOD为0.03 ng/mL。该传感器具有良好的操作稳定性（50个周期内RSD为5.5%），对常见干扰物具有高选择性，在复杂基质中具有可靠的性能（血清和农业样品的回收率为89-114%）。这项工作不仅为食品安全和生物监测提供了一个强大的分析工具，而且为设计用于双靶标检测的多功能异质结型PEC传感器提供了新的见解。

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引用次数: 0

Precise classification of rice blast disease using an improved MCG-net with multi-feature fusion technology for UAV hyperspectral imagery 基于多特征融合技术的改进MCG-net无人机高光谱影像稻瘟病精确分类

IF 4.9 2区化学 Q1 CHEMISTRY, ANALYTICAL

Microchemical Journal

Pub Date : 2026-01-28 DOI: 10.1016/j.microc.2026.117105

Tan Liu , Peiyan Wu , Songlin Guo , Yuan Qi , Jun Ma , Qingyun Yuan , Chunling Chen

Rice blast disease severely impacts rice yield and quality. However, quantitative research on early-stage grading and detection of rice blast disease still faces technical challenges. This study extracted and integrated multidimensional features from hyperspectral data, including spectral features, texture features (TFs), and structural features. By integrating texture features with vegetation cover (FVC) to construct vegetation texture indices (VTIs), we achieved refined quantification of vegetation structural parameters, significantly enhancing vegetation type recognition and classification accuracy. Simultaneously, we employed Pearson correlation coefficient combined with sequential backward selection (PCC_SBS) to screen spectrally sensitive bands. The proposed MCG-net model enables deep fusion of spectral features and VTIs. This model integrates 1DCNN, GRU, and multi-scale self-attention (MSSA) modules: 1DCNN extracts multi-scale local features using convolutional kernels with varying dilation rates; GRU captures sequential dynamics and long-term dependencies; MSSA reduces model dependence on noise and irrelevant information. Experiments validate MCG-net's exceptional performance in data fusion, primarily attributed to its robust feature learning capability. The multi-feature fusion model (PCC_SBS + VTIs) achieved optimal performance with an overall accuracy (OA) of 96.67% and a kappa value of 95.83%, significantly outperforming models relying solely on spectral features or TFs. In summary, deep learning models integrating multiple features can effectively enhance rice blast disease detection efficiency, providing an efficient technical solution for field control and food safety

稻瘟病严重影响水稻产量和品质。然而，稻瘟病早期分级和检测的定量研究仍面临技术挑战。本研究从高光谱数据中提取并整合多维特征，包括光谱特征、纹理特征和结构特征。通过将纹理特征与植被覆盖度（FVC）相结合构建植被纹理指数（VTIs），实现了植被结构参数的精细化量化，显著提高了植被类型识别和分类精度。同时，我们采用Pearson相关系数结合序列反向选择（PCC_SBS）筛选光谱敏感波段。提出的MCG-net模型实现了光谱特征和vti的深度融合。该模型集成了1DCNN、GRU和多尺度自关注（MSSA）模块：1DCNN使用不同膨胀率的卷积核提取多尺度局部特征；GRU捕获顺序动态和长期依赖关系；MSSA减少了模型对噪声和不相关信息的依赖。实验验证了MCG-net在数据融合方面的卓越性能，这主要归功于其强大的特征学习能力。多特征融合模型（PCC_SBS + VTIs）的总体准确率（OA）为96.67%，kappa值为95.83%，显著优于单纯依赖光谱特征或tf的模型。综上所述，综合多种特征的深度学习模型可以有效提高稻瘟病检测效率，为田间防治和食品安全提供高效的技术解决方案

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引用次数: 0

UHPLC-MS/MS detection and health risk assessment of triazole pesticides in dates cultivated in the UAE: Protecting consumer health 阿联酋红枣中三唑类农药UHPLC-MS/MS检测及健康风险评价：保护消费者健康

IF 4.9 2区化学 Q1 CHEMISTRY, ANALYTICAL

Microchemical Journal

Pub Date : 2026-01-28 DOI: 10.1016/j.microc.2026.117160

Muhammad Usman , Muhammad Kamran Hakeem , Shaima Askar , Iltaf Shah , Tamilarasan Rajendran , Kilani Ghoudi , Mohammed A. Meetani

With the world's population growing significantly and the rising demand for food, food safety has become a serious concern for the public. To meet these demands, pesticides are used on a larger scale; however, their residues in dates may damage the human body, leading to a significant threat to food safety. Consequently, it is crucial to conduct routine monitoring of pesticides in date samples to ensure public safety. Here, a highly sensitive and highly accurate method for determining triazole pesticide residues in date fruit samples was developed using QuEChERS-based extraction followed by UHPLC-MS/MS analysis. A total of 50 collected date samples from marketplaces and small local farms throughout the UAE were analyzed. The method demonstrated strong linearity (R² ≥ 0.993) and achieved a low limit of detection (1.10–1.48 μg/kg) andlimit of quantification (3.64–4.88 μg/kg). All the analyzed date samples had residues of triazoles, with six samples exceeding maximum residue limits, primarily for paclobutrazol and triticonazole, with concentration ranged from 1.7 to 14 μg/kg. The most frequently detected triazole was difenoconazole (54% detection rate), followed by paclobutrazol (28% detection rate). The health risk results showed that there is no risk to the consumer from the exposure of triazoles from dates for adults and children at the present level of contamination (Hazard Index <1). Overall, this method offers a reliable analytical tool that can support regulatory authorities in strengthening pesticide monitoring and food-safety control in the region.

随着世界人口的显著增长和对食品需求的不断增加，食品安全已成为公众严重关注的问题。为了满足这些需求，农药被更大规模地使用；然而，它们在枣中的残留可能对人体造成损害，对食品安全构成重大威胁。因此，对食枣样品中农药进行常规监测对保障公众安全至关重要。建立了基于quechers提取- UHPLC-MS/MS分析的高灵敏度、高准确度测定红枣样品中三唑类农药残留的方法。对从阿联酋各地的市场和小型当地农场收集的50个日期样本进行了分析。方法线性良好（R2≥0.993），低检出限（1.10 ~ 1.48 μg/kg）和定量限（3.64 ~ 4.88 μg/kg）。所有样品中均有三唑类残留，其中6个样品超过最大残留限量，主要为多效唑和三康唑，浓度范围为1.7 ~ 14 μg/kg。三唑类药物检出率最高的是异丙康唑（检出率54%），其次是多效唑（检出率28%）。健康风险结果表明，在目前的污染水平下，成人和儿童从枣中接触三唑对消费者没有风险（危害指数<；1）。总体而言，该方法提供了一种可靠的分析工具，可支持监管当局加强该地区的农药监测和食品安全控制。

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引用次数: 0

Electrodeposited polyaniline @ divinylbenzene-N-vinylpyrrolidone microspheres on stainless steel wire for solid-phase microextraction of organophosphorus pesticides in juice 不锈钢丝电沉积聚苯胺@二乙烯基苯- n -乙烯基吡咯烷酮微球用于果汁中有机磷农药的固相微萃取

IF 4.9 2区化学 Q1 CHEMISTRY, ANALYTICAL

Microchemical Journal

Pub Date : 2026-01-28 DOI: 10.1016/j.microc.2026.117152

Yilei Huang , Yuwen Fang , Jie Wei, Min Chen, Yi Xu, Tianhui Jiao, Qingmin Chen, Xiaomei Chen

This study developed a novel probe for rapid extraction of organophosphorus pesticides (OPPs) in guava juice. The probe was prepared by electropolymerizing polyaniline (PANI)-doped divinylbenzene (DVB)-N-vinylpyrrolidone (NVP) microspheres on stainless steel wire, followed by a silicone sealant (SCS) coating. The porous PANI layer enhances stability, while the amphiphilic DVB-NVP microspheres and SCS coating reduce matrix interference. In direct-immersion solid-phase microextraction, the probe effectively enriched three OPPs (diazinon, parathion-methyl, and fenitrothion). Coupled with gas chromatography, the method showed a linear range of 0.05–300 μg/L, detection limits of 10.25–14.23 ng/L, and RSDs of 3.2–6.5%. After 60 extraction cycles, efficiency declined only 11.8–14.8%. Recoveries from guava juice ranged 84.2–98.7% (RSD < 5.2%), confirming excellent anti-fouling performance.

研究了一种快速提取番石榴汁中有机磷农药的新探针。探针是通过在不锈钢丝上电聚合聚苯胺（PANI）掺杂二乙烯基苯(DVB)- n -乙烯基吡啶酮（NVP）微球，然后涂上硅酮密封胶（SCS）制备的。多孔聚苯胺层增强了稳定性，而两亲性DVB-NVP微球和SCS涂层减少了基质干扰。在直接浸没固相微萃取中，探针有效富集了三种OPPs（二嗪农、甲基对硫磷和非硝硫磷）。结合气相色谱法，该方法线性范围为0.05 ~ 300 μg/L，检出限为10.25 ~ 14.23 ng/L， rsd为3.2 ~ 6.5%。60次萃取循环后，萃取效率仅下降11.8 ~ 14.8%。番石榴汁的回收率为84.2 ~ 98.7% (RSD < 5.2%)，具有良好的防污性能。

引用次数: 0

Comprehensive UPLC–MS/MS analysis of etomidate and its structural analogs with isomer separation: validation and application to authentic urine samples 依托咪酯及其结构类似物异构体分离的UPLC-MS /MS综合分析：验证及在真实尿样中的应用

IF 4.9 2区化学 Q1 CHEMISTRY, ANALYTICAL

Microchemical Journal

Pub Date : 2026-01-28 DOI: 10.1016/j.microc.2026.117128

Xiaoyu Qian , Liying Zhou , Tangchenxi Qing , Sujing Zhang , Ping Xiang , Mengxiang Su , Hui Yan

Etomidate is a short-acting intravenous anesthetic, and its structural analogs have increasingly emerged as substances of abuse. In this study, a UPLC–MS/MS method was developed and validated for the simultaneous qualitative and quantitative determination of etomidate, etomidate acid, and 11 structural analogs (metomidate, propoxate, isopropoxate, butomidate, sec-butomidate, isobutomidate, tert-butomidate, TF-etomidate, 4F-etomidate, ABP-700, and 2,6-diCl-3F-etomidate) in urine. A major challenge was the chromatographic separation of six structural isomers (propoxate, isopropoxate and the four butomidate isomers), which was achieved using a Phenomenex Kinetex® Biphenyl 100 Å column (100 × 3.0 mm, 2.6 μm) with mobile phases consisting of (A) water containing 2 mmol/L ammonium formate and 0.01% formic acid and (B) methanol under optimized gradient conditions. The method showed excellent linearity within 1–50 ng/mL for most analytes and 10–500 ng/mL for etomidate acid. Limits of detection (LODs) and limits of quantification (LOQs) ranged from 0.5–5 ng/mL and 1–10 ng/mL, respectively. Precision and accuracy ranged from 1.8%–10.4% and −10.4%–8.9%, respectively. Matrix effects were 89.6%–119.7%, and recoveries were 70.1%–98.7%. Application to 37 authentic urine samples revealed frequent detection of isopropoxate (n = 35), metomidate (n = 33), and etomidate (n = 34), while etomidate acid exhibited the highest concentrations (up to 31.2 μg/mL). Overall, this study provides a reliable, isomer-resolved analytical workflow for the determination of multiple etomidate analogs in urine samples.

依托咪酯是一种短效静脉麻醉剂，其结构类似物越来越多地被滥用。本研究建立并验证了UPLC-MS /MS方法，用于同时定性和定量测定尿中依托咪酯、依托咪酯酸和11种结构类似物（甲咪酯、丙酸酯、异丙酸酯、丁咪酯、异丁咪酯、叔丁咪酯、tf -依托咪酯、4f -依托咪酯、ABP-700和2,6- dicl - 3f -依托咪酯）。主要的挑战是六种结构异构体（丙酸酯、异丙酸酯和四种丁咪酯异构体）的色谱分离，使用Phenomenex Kinetex®Biphenyl 100 Å色谱柱（100 × 3.0 mm, 2.6 μm），流动相由(A)含2 mmol/L甲酸铵和0.01%甲酸的水和(B)甲醇组成，在优化的梯度条件下。方法在1 ~ 50 ng/mL范围内线性良好，对依托咪酯酸在10 ~ 500 ng/mL范围内线性良好。检出限（lod）为0.5 ~ 5ng /mL，定量限（loq）为1 ~ 10ng /mL。精密度和准确度范围分别为1.8%-10.4%和- 10.4%-8.9%。基质效应为89.6% ~ 119.7%，回收率为70.1% ~ 98.7%。应用于37份真实尿液样本，发现经常检测到异丙酸（n = 35），美托咪酯（n = 33）和依托咪酯（n = 34），其中依托咪酯酸的浓度最高（高达31.2 μg/mL）。总的来说，本研究为尿液样本中多种依托咪酯类似物的测定提供了可靠的，异构分辨的分析工作流程。

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引用次数: 0

A multifunctional fluorescent sensing probe capable of sequential detection of trimethylamine and hydrogen sulfide produced by the spoilage of crabs and sole fish 一种多功能荧光传感探针，可连续检测螃蟹和比目鱼变质后产生的三甲胺和硫化氢

IF 4.9 2区化学 Q1 CHEMISTRY, ANALYTICAL

Microchemical Journal

Pub Date : 2026-01-28 DOI: 10.1016/j.microc.2026.117110

Jiawen Liu , Shuo Yao , Changji Gao , Zhiwei Sun

In this work, we developed a fluorescent sensing probe named HTHB, capable of continuous detection of trimethylamine (TMA) and H₂S, enabling phased monitoring of the freshness of crabs and sole fish. The probe HTHB inherently emits yellow fluorescence. Upon reaction with TMA, it shifts to emitting red fluorescence. Subsequently, exposure to H₂S causes the fluorescence to change from red to blue. The fluorescence color changes significantly and the response speed is fast, with the entire continuous detection process completed within 1 min. Meanwhile, HTHB demonstrated high sensitivity and low detection limit for the two target substances. Subsequently, a detection hydrogel loaded with HTHB was prepared for the phased detection of the freshness of actual seafood. The results obtained by combining intelligent software color analysis and PCA analysis jointly verified the practical feasibility of this detection device. In addition, HTHB, with its fluorescence performance capable of achieving single detection of pH or H₂S, can also be prepared into detection labels or detection solutions for real-time rapid detection of target substances in specific application environments. We believe that the probe HTHB has the potential to develop into an effective tool for staged freshness detection of crabs and sole fish, and promising applications in food quality monitoring and the research and development of fluorescent materials.

在这项工作中，我们开发了一种名为HTHB的荧光传感探针，可以连续检测三甲胺（TMA）和H2S，从而实现对螃蟹和比目鱼新鲜度的阶段性监测。探针HTHB本身发出黄色荧光。与TMA反应后，它转变为发出红色荧光。随后，暴露于H2S使荧光从红色变为蓝色。荧光颜色变化明显，响应速度快，整个连续检测过程在1 min内完成。同时，HTHB对两种目标物质的检测灵敏度高，检出限低。随后，制备了负载HTHB的检测水凝胶，用于实际海鲜新鲜度的阶段性检测。将智能软件色彩分析与PCA分析相结合得到的结果，共同验证了该检测装置的实际可行性。此外，HTHB的荧光性能可以实现pH或H2S的单次检测，也可以制备成检测标签或检测溶液，在特定的应用环境中对目标物质进行实时快速检测。我们认为HTHB探针有潜力发展成为螃蟹和比目鱼分阶段新鲜度检测的有效工具，在食品质量监测和荧光材料的研究与开发中具有广阔的应用前景。

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引用次数: 0

Washing away the fraud: Chemometric models for detecting falsified laundry detergent 洗去欺诈：检测伪造洗衣粉的化学计量模型

IF 4.9 2区化学 Q1 CHEMISTRY, ANALYTICAL

Microchemical Journal

Pub Date : 2026-01-28 DOI: 10.1016/j.microc.2026.117135

Ana Carolina da Costa Fulgêncio , Emanuel Felipe Souza Silva , Lucas Samuel Souza Almeida , Hélio Milito Martins de Amorim Neto , Rogério Araújo Lordeiro , Marcelo Martins Sena

It was observed a recent increase in the number of police occurrences seizing falsified laundry detergent in Brazil, in which the market leader brand has been counterfeited by replacing it with cheaper brands in fake packages. Thus, this article developed a direct and rapid screening analytical method based on portable near infrared (NIR) spectroscopy and chemometrics for checking the authenticity of samples of this leader brand of laundry detergent, aiming to detect counterfeiting. Supervised classification models were built with a total of 172 samples, including 83 certified authentic samples, 34 real counterfeit samples seized by the police, and 55 samples of cheaper brands used in these frauds. One-class modeling (soft independent modeling of class analogy, SIMCA, and data-driven SIMCA, DD-SIMCA) models were compared, and the best results were obtained with DD-SIMCA (no misclassification for the training set, false positive rate of 2.2% and false negative rate of 7.1% for the test set). Both methods were validated by estimating proper figures of merit and models were spectrally interpreted through the informative vector modeling power.

据观察，最近在巴西，警方查获假冒洗衣粉的案件有所增加，在这些案件中，市场领先品牌被假冒为更便宜的品牌，并装在假包装中。因此，本文开发了一种基于便携式近红外（NIR）光谱和化学计量学的直接快速筛选分析方法，用于检测该领导品牌洗衣液样品的真伪，旨在检测假冒产品。共建立了172个样品的监督分类模型，其中83个经过认证的正品样品，34个被警方查获的真品样品，以及55个用于这些欺诈的廉价品牌样品。单类建模（类类比的软独立建模，SIMCA和数据驱动的SIMCA， DD-SIMCA）模型进行比较，DD-SIMCA模型获得了最好的结果（训练集没有误分类，测试集的假阳性率为2.2%，假阴性率为7.1%）。两种方法都通过估计适当的优点值进行了验证，并通过信息向量建模能力对模型进行了频谱解释。

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引用次数: 0

A SERS-machine learning quantitative detection platform for Pseudomonas aeruginosa based on AuNRs-MBA@Ag-MBA-van SERS tag and SPION-PEI-AuNPs-apt magnetic beads 基于AuNRs-MBA@Ag-MBA-van SERS标签和spon - pei - aunps -apt磁珠的铜绿假单胞菌SERS-机器学习定量检测平台

IF 4.9 2区化学 Q1 CHEMISTRY, ANALYTICAL

Microchemical Journal

Pub Date : 2026-01-28 DOI: 10.1016/j.microc.2026.117146

Clement Yaw Effah , Longlong Tan , Qimeng Zhang , Xinyu Li , Lijun Miao , Xiaolei Zhou , Lihua Ding , Yongjun Wu

Pseudomonas aeruginosa (PA) is an opportunistic pathogen that is widely distributed in soil, water, air, food, animal, and human body surfaces, and is also one of the main pathogens of iatrogenic infections which can cause various infections in people with weakened immune systems. The rapid detection of PA in varied environmental and clinical samples is important for hospital infection control, clinical diagnosis, and food and environmental safety monitoring. In this study, we constructed an efficient separation and enrichment surface-enhanced Raman scattering (SERS) platform based on a dual recognition strategy, and supplemented it with a machine learning nonlinear regression model to achieve rapid, highly sensitive, accurate, and specific detection of PA. By combining the SERS platform with support vector machine learning regression model, a detection limit of 15 CFU/mL with a liner range of 50 to 10⁸ cells/mL was achieved. The highly sensitive dual-identification tag-type SERS quantitative analysis system established in this study has the advantages of wide detection range, low detection limit, good specificity, high accuracy and short detection time, thereby providing a method for the prevention and clinical diagnosis of PA infection-related diseases as well as food and environmental safety monitoring.

铜绿假单胞菌（Pseudomonas aeruginosa， PA）是一种广泛分布于土壤、水、空气、食物、动物和人体表面的条件致病菌，也是医疗源性感染的主要病原体之一，可在免疫系统较弱的人群中引起各种感染。在各种环境和临床样本中快速检测PA对医院感染控制、临床诊断以及食品和环境安全监测具有重要意义。在本研究中，我们构建了基于双重识别策略的高效分离富集表面增强拉曼散射（SERS）平台，并辅以机器学习非线性回归模型，实现了PA的快速、高灵敏、准确、特异检测。将SERS平台与支持向量机器学习回归模型相结合，检测限为15 CFU/mL，线性范围为50 ~ 108 cells/mL。本研究建立的高灵敏度双识别标签型SERS定量分析系统具有检测范围广、检出限低、特异性好、准确度高、检测时间短等优点，为PA感染相关疾病的预防和临床诊断以及食品环境安全监测提供了一种方法。

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引用次数: 0

Quantification of three progestogens in serum from polycystic ovary syndrome patients by LC-MS/MS based on magnetic solid phase extraction and quaternary ammonium oxime derivatization 基于磁固相萃取-季铵肟衍生化的LC-MS/MS定量分析多囊卵巢综合征患者血清中3种孕激素

IF 4.9 2区化学 Q1 CHEMISTRY, ANALYTICAL

Microchemical Journal

Pub Date : 2026-01-28 DOI: 10.1016/j.microc.2026.117148

Jueyu Li , Lingling Liu , Lei Xu , Libo Zhao , Xianhua Zhang

Progestogens are essential for female reproductive homeostasis, and their dysregulation is implicated in disorders such as polycystic ovary syndrome (PCOS). Conventional immunoassays lack adequate selectivity and sensitivity for multi-analyte progestogen quantification, particularly at low serum concentrations, owing to antibody cross-reactivity and matrix interference. This study developed a highly sensitive and specific LC-MS/MS method by combining magnetic solid-phase extraction (MSPE) with a novel quaternary ammonium oxime (QAO) derivatization. This method enabled the simultaneous quantification of three key progestogens – pregnenolone (Preg), 17-hydroxypregnenolone (17OHPreg), and 17-hydroxyprogesterone (17OHP) - in serum from patients with PCOS. QAO derivatization significantly enhanced the ionization efficiency and improved detection sensitivity for all three targets. The validated method demonstrated excellent linearity across the tested ranges, with precision (RSD%) below 13.56%, accuracy (RE%) within ±15%, consistent recovery, and negligible matrix effects. The method was successfully applied to the clinical samples, enabling reliable measurement of low-abundance progestogens and providing a robust analytical tool for endocrine investigations in PCOS.

孕激素对女性生殖稳态至关重要，其失调与多囊卵巢综合征（PCOS）等疾病有关。由于抗体交叉反应性和基质干扰，传统的免疫测定法对多分析物孕激素定量缺乏足够的选择性和敏感性，特别是在低血清浓度下。本研究将磁性固相萃取（MSPE）与新型季铵肟衍生化相结合，建立了一种高灵敏度和特异性的LC-MS/MS方法。该方法可同时定量测定PCOS患者血清中的三种关键孕激素——孕烯醇酮（Preg）、17-羟基孕烯醇酮（17OHPreg）和17-羟基孕酮（17OHP）。QAO衍生化显著提高了电离效率，提高了对三种靶标的检测灵敏度。该方法在检测范围内线性良好，精密度（RSD%）在13.56%以下，准确度（RE%）在±15%以内，回收率一致，基质效应可忽略不计。该方法已成功应用于临床样品，实现了低丰度孕激素的可靠测量，为多囊卵巢综合征的内分泌调查提供了一个强大的分析工具。

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引用次数: 0

Metal-organic framework nanozymes: innovative biosensing platforms for biomarker detection 金属-有机框架纳米酶：生物标志物检测的创新生物传感平台

IF 4.9 2区化学 Q1 CHEMISTRY, ANALYTICAL

Microchemical Journal

Pub Date : 2026-01-28 DOI: 10.1016/j.microc.2026.117129

Chunxiao Li , Fangqin Han , Jie Zhang , Yaoguang Wang , Nuo Zhang , Guanhui Zhao

Nanozymes, a unique class of nanomaterials that exhibit enzyme-like catalytic activities, are capable of mimicking the functions of natural enzymes. They exhibit notable characteristics such as substrate specificity, catalytic efficiency, and adaptability to diverse reaction conditions, closely resembling those of biological enzymes. Complementing these nanozymes, the emerging class of metal-organic frameworks (MOFs) offers an alternative structural platform for enzyme mimicry. Metal-organic framework (MOF) nanozymes are hybrid materials assembled from metal ion/cluster nodes and organic bridging ligands. They are distinguished by their abundant active sites, high specific surface area, and superior chemical and thermal stability, which enable them to maintain activity across a broader range of conditions compared to natural enzymes. MOF nanozymes are particularly advantageous due to their straightforward synthesis and modification processes, lower costs, and scalability for large-scale production. Moreover, their multifunctional nature allows integration with other functional materials, unlocking a wide array of applications. These compelling properties make MOF nanozymes particularly attractive as innovative biosensing platforms, holding significant promise for the sensitive and selective detection of biomarkers. Herein, we review the state-of-the-art development of MOF nanozymes, focusing on their fabrication strategies, catalytic properties, and biosensing applications. Finally, perspectives on the existing challenges and future opportunities in this emerging field are offered.

纳米酶是一类独特的纳米材料，具有类似酶的催化活性，能够模仿天然酶的功能。它们具有明显的特征，如底物特异性、催化效率和对各种反应条件的适应性，与生物酶非常相似。作为这些纳米酶的补充，新兴的金属有机框架（mof）为酶模拟提供了另一种结构平台。金属-有机框架纳米酶是由金属离子/簇节点和有机桥接配体组装而成的杂化材料。与天然酶相比，它们具有丰富的活性位点，高比表面积以及优越的化学和热稳定性，这使它们能够在更广泛的条件下保持活性。MOF纳米酶由于其简单的合成和修饰过程、较低的成本和大规模生产的可扩展性而具有特别的优势。此外，它们的多功能特性允许与其他功能材料集成，解锁广泛的应用。这些令人信服的特性使MOF纳米酶作为创新的生物传感平台特别有吸引力，对生物标志物的敏感和选择性检测具有重要的前景。在此，我们回顾了MOF纳米酶的最新发展，重点介绍了它们的制备策略、催化性能和生物传感应用。最后，对这一新兴领域面临的挑战和未来的机遇提出了展望。

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