Microchemical Journal最新文献_第2页

Graphene/PEDOT/Ni-Based electrochemical Non-Enzymatic glucose sensor 基于石墨烯/PEDOT/镍的电化学非酶法葡萄糖传感器

IF 4.8 2区化学 Q1 CHEMISTRY, ANALYTICAL

Microchemical Journal

Pub Date : 2024-09-07 DOI: 10.1016/j.microc.2024.111574

Qinzheng Ma, Ying Zhang, Luwei Wang, Yushuai Yang, Wei Wang

Compared to enzymatic glucose sensors, non-enzymatic glucose sensors offer significant advantages in sensitivity, stability, and cost. In this study, a green and simple electrochemical method was employed to prepare an electrochemical non-enzymatic glucose sensor based on graphene/PEDOT/Ni materials. The modified electrode was characterized using scanning electron microscopy (SEM), Raman spectroscopy, Fourier-transform infrared spectroscopy (FTIR), cyclic voltammetry (CV), and electrochemical impedance spectroscopy (EIS). The electrochemical behavior of glucose on the modified electrode was investigated, and the results indicated that the sensor exhibited a good electrochemical response to glucose. Experimental conditions were optimized, and under the optimal conditions, the sensor showed a good linear relationship with glucose concentration in the range of 0.0001 to 7 mM, with a detection limit of 0.012 μM. The sensitivity was 1561 μA·mM·cm, demonstrating excellent reliability, stability, and accuracy.

与酶葡萄糖传感器相比，非酶葡萄糖传感器在灵敏度、稳定性和成本方面具有显著优势。本研究采用绿色简单的电化学方法制备了基于石墨烯/PEDOT/Ni 材料的电化学非酶切葡萄糖传感器。使用扫描电子显微镜（SEM）、拉曼光谱、傅立叶变换红外光谱（FTIR）、循环伏安法（CV）和电化学阻抗谱（EIS）对修饰电极进行了表征。研究了葡萄糖在改性电极上的电化学行为，结果表明该传感器对葡萄糖具有良好的电化学响应。对实验条件进行了优化，在最佳条件下，传感器与葡萄糖浓度在 0.0001 至 7 mM 范围内呈良好的线性关系，检测限为 0.012 μM。灵敏度为 1561 μA-mM-cm，表现出极佳的可靠性、稳定性和准确性。

引用次数: 0

Recent applications of β-cyclodextrin in selective adsorption of pesticides, heavy metals, and organic pollutants from water samples: Mini review β-环糊精在选择性吸附水样中的农药、重金属和有机污染物方面的最新应用：小综述

IF 4.9 2区化学 Q1 CHEMISTRY, ANALYTICAL

Microchemical Journal

Pub Date : 2024-09-07 DOI: 10.1016/j.microc.2024.111583

Heavy metals, pesticides, dyes, drugs, and organic micropollutants show significant threats to both the environment and life on Earth. Considering their presence in water sources, it becomes imperative to identify an efficient and environmentally friendly approach for their removal. This review highlights the prevalent use of the cost-effective and dependable adsorption method across various studies. The supramolecular β-CD, with its macrocyclic structure, offers an inner cavity and surface for adsorption through electrostatic interactions, hydrogen bonding, and weak van der Waals’ forces of attraction. Most β-CD-based adsorbents exhibit pseudo-second-order kinetics and fit to the Langmuir isotherm, suggesting monolayer and homogeneous chemisorption. Host-guest chemistry, inherent to supramolecular macrocycles, contributes to a comprehensive understanding of adsorption processes. Within this review, the kinetic models, isotherm models, and thermodynamic are analyzed. Additionally, optimization factors such as initial analyte concentration, pH, contact time, and adsorbent dosages are thoroughly explored.

重金属、杀虫剂、染料、药物和有机微污染物对环境和地球上的生命都构成了严重威胁。考虑到它们在水源中的存在，当务之急是找到一种高效、环保的方法来去除它们。本综述重点介绍了各种研究中普遍使用的具有成本效益且可靠的吸附方法。超分子 β-CD 具有大环结构，可通过静电相互作用、氢键和微弱的范德华吸附力为吸附提供内腔和表面。大多数基于 β-CD 的吸附剂都表现出假秒阶动力学，并与 Langmuir 等温线相吻合，这表明它们具有单层和均相化学吸附作用。超分子大环固有的主客体化学有助于全面了解吸附过程。本综述分析了动力学模型、等温线模型和热力学。此外，还深入探讨了初始分析物浓度、pH 值、接触时间和吸附剂用量等优化因素。

引用次数: 0

Portable cell imprinted polymer-based microfluidic sensor for bacteria detection in real water 基于细胞印迹聚合物的便携式微流控传感器，用于检测真实水中的细菌

IF 4.8 2区化学 Q1 CHEMISTRY, ANALYTICAL

Microchemical Journal

Pub Date : 2024-09-07 DOI: 10.1016/j.microc.2024.111611

Ali Doostmohammadi, Hongsheng Huang, Sohail Naushad, Pouya Rezai

Cell-imprinted polymer (CIP) based optical biosensors have transformed point-of-care detection. However, challenges remain in their portability and detection sensitivity, time, and cost. Herein, we present an imprinted polymer-based low-cost microfluidic device integrated into a portable enclosure that enables rapid and sensitive bacteria detection in real water. A portable 3D-printed platform was custom-designed, housing all essential detection components, i.e., pumping and fluorescent imaging units and the microfluidic sensor. CIP coated magnetic microparticles (MPs) with affinity to bacteria were manipulated inside the magnetophoretic microfluidic device at an optimized flow rate of 0.01 mL/min for bacteria capturing. Fluorescent imaging pre- and post-bacteria capture facilitated quantification of fluorescence intensity changes as bacteria were trapped by the CIP-MPs. The sensor’s dose–response curve established limits of detection (LOD) and quantification (LOQ) at 8 × 10 and 6 × 10 CFU/mL, respectively, within a dynamic range of 10 to 10 CFU/mL. It specifically detected , distinguishing it from non-specific bacteria like and . In real pond water tests, our sensor detected 2 × 10⁶ CFU/mL, matching a central lab’s result of 2.33 × 10⁶ CFU/mL, demonstrating its effectiveness for real-water monitoring. While further enhancements are needed for improving the specificity in complex environmental matrices and broader bacterial strain detection, the sensor’s simplicity and portability highlight its potential for practical potential.

基于细胞压印聚合物（CIP）的光学生物传感器改变了护理点检测。然而，在便携性、检测灵敏度、时间和成本方面仍存在挑战。在本文中，我们介绍了一种基于压印聚合物的低成本微流控装置，该装置集成在一个便携式外壳中，可在真实水中实现快速、灵敏的细菌检测。我们定制设计了一个便携式 3D 打印平台，容纳了所有重要的检测组件，即泵和荧光成像装置以及微流体传感器。对细菌具有亲和力的 CIP 涂层磁性微颗粒（MPs）在磁流体微流体装置内以 0.01 mL/min 的优化流速进行操作，以捕获细菌。细菌捕获前后的荧光成像有助于量化细菌被 CIP-MPs 捕获时的荧光强度变化。传感器的剂量-反应曲线确定了在 10 到 10 CFU/mL 的动态范围内，检测限（LOD）和定量限（LOQ）分别为 8 × 10 和 6 × 10 CFU/mL。在实际池塘水测试中，我们的传感器检测到了 2 × 10⁶ CFU/mL，与中央实验室检测到的 2.33 × 10⁶ CFU/mL 相匹配，证明了其在实际水监测中的有效性。虽然还需要进一步改进，以提高在复杂环境基质中的特异性和更广泛的细菌菌株检测，但传感器的简易性和便携性突显了它的实用潜力。

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引用次数: 0

Employment of MQ gas sensors for the classification of Cistus ladanifer essential oils 利用 MQ 气体传感器对 Cistus ladanifer 精油进行分类

IF 4.8 2区化学 Q1 CHEMISTRY, ANALYTICAL

Microchemical Journal

Pub Date : 2024-09-07 DOI: 10.1016/j.microc.2024.111585

Francisco Javier Diaz Blasco, Sandra Viciano-Tudela, Lorena Parra, Ali Ahmad, Veronika Chaloupková, Raquel Bados, Luis Saul Esteban Pascual, Irene Mediavilla, Sandra Sendra, Jaime Lloret

The chemical composition of essential oils (EOs) from has a huge variability throughout the year, impacting the oil quality. Nowadays, EO analytic chemistry techniques, which are expensive and destroy the sample, are utilized to measure the chemical composition. In the paper, we propose a combination of low-cost sensors and machine learning based system. As low-cost sensors, seven gas sensors are combined to obtain up to 36 features. Regarding machine learning, 31 multiclass classification algorithms are applied. Data from sensors were collected for 33 samples of EO from . The generated dataset was split into training and test datasets, with 75 % of the data for training. The datasets were created to ensure a homogeneous chemical composition distribution on both training and test datasets. There were three target chemical compounds: Alpha-pinene and Viridiflorol as individual compounds and Terpenic Hydrocarbons as a group of chemical compounds. The value of the percentage of each targeted compound is converted into a categoric variable with 5 possible values, 1 being the lowest concentration and 5 being the maximum one. The data of the MQ-sensors were included as the input for the models, and each one of the targeted chemical compounds was selected as an output for different models. The input features were ranged using different algorithms for the feature selection process. The results indicate that there is no valid classification model for Viridiflorol, and limited accuracy is achieved for Alpha-pinene. Meanwhile, for Terpenic Hydrocarbons, an accuracy of 91.6 % is achieved. It is important to highlight that these accuracies were attained when a reduced number of features were included, ranging the number of features from 11 to 13. This is the first case in which MQ-based gas sensors, or other metal oxide sensors, are used to correctly determine the concentration of a chemical compounds in a complex matrix formed by dozens of compounds. This system will provide a cheap method to determine the quality of EOs and confirm the benefits of combining low-cost sensors with machine learning.

精油（EO）的化学成分在一年四季中变化很大，影响精油的质量。目前，人们利用精油分析化学技术来测量化学成分，但这种技术既昂贵又会破坏样本。在本文中，我们提出了一种将低成本传感器和基于机器学习的系统相结合的方法。作为低成本传感器，我们将七个气体传感器组合在一起，以获得多达 36 个特征。在机器学习方面，应用了 31 种多类分类算法。传感器收集了 33 个地球观测样本的数据。生成的数据集分为训练数据集和测试数据集，其中 75% 的数据用于训练。创建数据集的目的是确保训练数据集和测试数据集的化学成分分布均匀。目标化合物有三种：α-蒎烯和 Viridiflorol 作为单个化合物，萜类碳氢化合物作为一组化合物。每种目标化合物的百分比值被转换成一个分类变量，有 5 个可能的值，1 代表最低浓度，5 代表最高浓度。MQ 传感器的数据被作为模型的输入，而每一种目标化合物被选为不同模型的输出。在特征选择过程中，使用了不同的算法来确定输入特征的范围。结果表明，没有针对 Viridiflorol 的有效分类模型，而针对 Alpha-pinene 的分类准确性有限。同时，萜类碳氢化合物的准确率达到了 91.6%。需要强调的是，这些准确率是在减少特征数量（特征数量从 11 个到 13 个不等）的情况下取得的。这是首次使用基于 MQ 的气体传感器或其他金属氧化物传感器来正确测定由数十种化合物组成的复杂基体中的化合物浓度。该系统将为确定环氧乙烷的质量提供一种廉价方法，并证实低成本传感器与机器学习相结合的好处。

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引用次数: 0

Intact-cell detection of halohydrin dehalogenase activity and preliminary assessment of marine adaptability 卤代卤素脱卤酶活性的完整细胞检测和海洋适应性的初步评估

IF 4.8 2区化学 Q1 CHEMISTRY, ANALYTICAL

Microchemical Journal

Pub Date : 2024-09-07 DOI: 10.1016/j.microc.2024.111561

Peng Chen, Ronglian Li, Feng Lu, Yunli Zhao, Lianghua Wang

Halohydrin dehalogenase (HHDH) can degrade 1,2,3-trichloropropanol and other halogenated alcohols. These enzymes exhibit stereoselectivity and can be used to produce pure chiral epoxides and β-substituted alcohols of industrial value. The discovery of novel HHDHs from microorganisms in niche environments including the sea requires analysis of HHDH activity. Owing to its high practical value, HheC was selected as a target enzyme to establish an intact-cell method for detecting HHDH activity based on fluorescence spectroscopy. This approach relied on the principle that HHDH activity can change the pH in a system with weak buffering capacity, and that the fluorescence intensity of certain dyes is influenced by pH. The marine adaptability of the assay was subjected to preliminary investigation. The method is simple, rapid, and highly sensitive, as verified using gas chromatography-mass spectrometry. The detection limit of the method was OD (optical density at a 600 nm) of 0.025 for microorganisms containing HHDH which have activity comparable to that of HheC. With some improvements, this method holds potential for analysis and mining of marine microorganisms containing HHDH.

卤代醇脱卤酶（HHDH）可以降解 1,2,3-三氯丙醇和其他卤代醇。这些酶具有立体选择性，可用于生产纯手性环氧化物和具有工业价值的β-取代醇。从包括海洋在内的利基环境中的微生物中发现新型 HHDHs 需要对 HHDH 活性进行分析。由于 HheC 具有很高的实用价值，因此被选为目标酶，以建立一种基于荧光光谱检测 HHDH 活性的完整细胞方法。这种方法的原理是，HHDH 活性可改变缓冲能力弱的系统中的 pH 值，而某些染料的荧光强度受 pH 值的影响。对该检测方法的海洋适应性进行了初步研究。经气相色谱-质谱法验证，该方法简单、快速、灵敏度高。对于含有 HHDH 的微生物，该方法的检测限为 OD（600 纳米波长处的光密度）0.025，其活性与 HheC 相当。经过改进，该方法有望用于分析和挖掘含有 HHDH 的海洋微生物。

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引用次数: 0

Optical fiber SPR probe platform combined with oriented antibody optimized modification for ultrasensitive and portable detection of human thyroglobulin 光纤 SPR 探针平台与定向抗体优化修饰相结合，用于超灵敏便携式检测人甲状腺球蛋白

IF 4.8 2区化学 Q1 CHEMISTRY, ANALYTICAL

Microchemical Journal

Pub Date : 2024-09-07 DOI: 10.1016/j.microc.2024.111591

Jinghan Zhang, Lei Xiao, Xuejin Li, Xinghong Chen, Yan Wang, Xueming Hong, Zhenglong Sun, Yonghong Shao, Yuzhi Chen

Thyroglobulin (Tg) is an essential indicator for monitoring differentiated thyroid cancer. However, there are still significant challenges in achieving fast, accurate, and efficient point-of-care testing (POCT). This paper presented an optical fiber bioprobe platform technology based on the ultrasensitive sensing principle of surface plasmon resonance (SPR), aiming to achieve an efficient and precise immunoassay of Tg. The fiber probes were modified with Tg antibodies to form fiber Tg probes. After optimization of the oriented antibody modification, the detection sensitivity of fiber Tg probes increased by 3 times, facilitating one-step direct detection of μg-level sample concentrations such as thyroid tissue fluid samples. For ng-level sample concentrations such as blood samples, a two-step measurement method was used to amplify the surface load signal. Through Tg detection studies in different concentration ranges and background environments, our fiber Tg probes exhibited a sensitivity of 81.99 pm / (ng / mL) and a limit of detection of 1.4 ng / mL, and were able to complete ng-level detection in serum backgrounds. The fiber Tg probe holds immense potential in the diagnosis and postoperative monitoring of thyroid cancer. Additionally, being a miniature, disposable, reliable, and portable quantitative optical immunoassay tool, it can serve as a rapid detection instrument for various target proteins and pathogens by simply altering the modified antibody.

甲状腺球蛋白（Tg）是监测分化型甲状腺癌的重要指标。然而，要实现快速、准确、高效的床旁检测（POCT）仍面临巨大挑战。本文介绍了一种基于表面等离子体共振（SPR）超灵敏传感原理的光纤生物探针平台技术，旨在实现高效、精确的甲状腺素（Tg）免疫测定。用 Tg 抗体修饰光纤探针，形成光纤 Tg 探针。在优化了定向抗体修饰后，纤维 Tg 探针的检测灵敏度提高了 3 倍，从而实现了对微克级样品浓度（如甲状腺组织液样品）的一步直接检测。对于ng 级浓度的样品（如血液样品），则采用两步测量法来放大表面载荷信号。通过在不同浓度范围和背景环境下的 Tg 检测研究，我们的纤维 Tg 探针的灵敏度为 81.99 pm / (ng / mL)，检测限为 1.4 ng / mL，能够在血清背景中完成 ng 级检测。纤维 Tg 探针在甲状腺癌的诊断和术后监测方面具有巨大潜力。此外，作为一种微型、一次性、可靠和便携的定量光学免疫测定工具，它还可以作为一种快速检测仪器，通过简单地改变改良抗体来检测各种目标蛋白和病原体。

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引用次数: 0

Myoglobin redox form prediction in fresh beef using computer vision systems and artificial intelligence 利用计算机视觉系统和人工智能预测新鲜牛肉中肌红蛋白的氧化还原形式

IF 4.8 2区化学 Q1 CHEMISTRY, ANALYTICAL

Microchemical Journal

Pub Date : 2024-09-07 DOI: 10.1016/j.microc.2024.111588

Lethícia O. Bueno, Cecília A.S. Silva, Robledo A. Torres Filho, Alcinéia L.S. Ramos, Danton D. Ferreira, Eduardo M. Ramos

To development a computer vision system (CVS) to determine the myoglobin redox forms on beef surfaces, the reflectance spectra of reference samples of deoxymyoglobin (DMb), oxymyoglobin (OMb), and metmyoglobin (MMb) were recorded, and the surface images captured by a digital camera (CVScam) and a cell phone camera (CVScel) to train the algorithm. Meat color changes during blooming and display storage were also recorded. Higher k-fold accuracy was observed for CVScam (90.98 %) than for CVScel (86.53 %), with significantly correlation with colorimeter for OMb (r = 0.77 and 0.71), DMb (r = 0.84 and 0.71), and MMb (r = 0.87 and 0.88). The CVS MMb was lower and the OMb was higher than colorimeter, but the redox form behaviors were more consistent with the expected chemical changes on the surface. The constructed CVS showed satisfactory performance as a useful and accurate tool for predicting the myoglobin redox forms on the beef surface.

为了开发一套计算机视觉系统（CVS）来确定牛肉表面肌红蛋白的氧化还原形式，我们记录了脱氧肌红蛋白（DMb）、氧肌红蛋白（OMb）和高铁血红蛋白（MMb）参考样品的反射光谱，并用数码相机（CVScam）和手机相机（CVScel）拍摄了牛肉表面的图像来训练算法。此外，还记录了开花和展示储存期间肉色的变化。CVScam 的 k 倍准确率（90.98 %）高于 CVScel 的 k 倍准确率（86.53 %），OMb（r = 0.77 和 0.71）、DMb（r = 0.84 和 0.71）和 MMb（r = 0.87 和 0.88）与色度计有显著相关性。与比色计相比，CVS 的 MMb 值较低，OMb 值较高，但其氧化还原形式行为更符合预期的表面化学变化。构建的 CVS 作为预测牛肉表面肌红蛋白氧化还原形式的有用而准确的工具，表现出令人满意的性能。

引用次数: 0

Recent advances of nanozyme-enhanced lateral flow assay sensing in clinic diagnosis 纳米酶增强横向流动检测传感在临床诊断中的最新进展

IF 4.9 2区化学 Q1 CHEMISTRY, ANALYTICAL

Microchemical Journal

Pub Date : 2024-09-07 DOI: 10.1016/j.microc.2024.111602

Nanozymes have recently garnered significant research attention in biosensing due to their unique properties, including high stability, tunable catalytic activity, and lower production costs than natural enzymes. Lateral flow assays (LFAs) are a representative point-of-care testing (POCT) technique known for their rapid and convenient detection of biological targets in complex matrices. By leveraging their exponential amplification capabilities, nanozymes have been extensively employed in LFA biosensors to enhance analytical sensitivity. This review expounds on recent advancements in nanozyme-based LFAs for clinical diagnosis. It briefly summarizes the working principle and categories of LFAs, classifies nanozymes, and discusses their diagnostic applications for various targets. Finally, the review explores the current challenges and future directions of nanozyme-based LFAs.

纳米酶具有独特的特性，包括稳定性高、催化活性可调、生产成本低于天然酶等，因此最近在生物传感领域引起了广泛的研究关注。侧流检测（LFA）是一种具有代表性的床旁检测（POCT）技术，以快速、方便地检测复杂基质中的生物目标而著称。通过利用其指数放大能力，纳米酶已被广泛应用于 LFA 生物传感器，以提高分析灵敏度。本综述阐述了用于临床诊断的基于纳米酶的 LFA 的最新进展。它简要概述了 LFA 的工作原理和类别，对纳米酶进行了分类，并讨论了它们在各种靶标诊断中的应用。最后，综述还探讨了基于纳米酶的 LFAs 目前面临的挑战和未来的发展方向。

引用次数: 0

Research progress on the authenticity of duck blood 关于鸭血真实性的研究进展

IF 4.9 2区化学 Q1 CHEMISTRY, ANALYTICAL

Microchemical Journal

Pub Date : 2024-09-07 DOI: 10.1016/j.microc.2024.111609

In recent years, food safety has become a priority for countries worldwide because of the frequent occurrence of food safety incidents. With the increasing consumption of animal blood products, adulteration and counterfeiting of blood products occur occasionally. Duck blood constitutes only 9% of the volume of a duck and is precious because of its scarcity. Conversely, livestock blood, with its significantly larger volume, presents an opportunity for the adulteration of duck blood products, with pig blood being commonly employed to mimic duck blood. This practice extends beyond pig blood and encompasses the use of blood from various other species, driven by economic motives. Moreover, adulteration techniques such as blending of the pigments and the addition of formaldehyde preservatives further complicate this issue, posing potential risks to consumers. Hence, a comprehensive study on duck blood adulteration is imperative to effectively address these concerns. Therefore, the development of rapid, reliable, and inexpensive adulteration identification methods for duck blood products has become crucial for breakthroughs. This article summarizes detection and identification technologies for duck blood products. In addition, the advantages and disadvantages of commonly used detection techniques are compared. Finally, an improvement in direction of the duck blood product adulteration identification method is proposed to provide a perspective for innovative food adulteration identification methods and technical support for the virtuous cycle of the duck blood products market.

近年来，由于食品安全事件频发，食品安全已成为世界各国的头等大事。随着动物血液制品消费量的增加，血液制品掺假造假现象时有发生。鸭血仅占鸭血体积的 9%，因其稀缺而珍贵。相反，牲畜血液的容量要大得多，这就为鸭血制品的掺假提供了机会，猪血通常被用来模仿鸭血。在经济动机的驱使下，这种做法不仅限于猪血，还包括使用其他各种物种的血液。此外，掺杂色素和添加甲醛防腐剂等掺假技术使问题进一步复杂化，给消费者带来潜在风险。因此，必须对鸭血掺假问题进行全面研究，以有效解决这些问题。因此，开发快速、可靠、廉价的鸭血制品掺假鉴定方法已成为取得突破的关键。本文总结了鸭血制品的检测和鉴定技术。此外，还比较了常用检测技术的优缺点。最后，提出了鸭血制品掺假鉴定方法的改进方向，为创新食品掺假鉴定方法提供展望，为鸭血制品市场的良性循环提供技术支持。

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引用次数: 0

Advancements in on-site heavy metal detection: Characterizing and sensitive Hg2+ sensing of silver spheroid nanoparticles obtained by laser ablation synthesis in solution 现场重金属检测的进展：在溶液中通过激光烧蚀合成获得的球形银纳米粒子的特性和对 Hg2+ 的灵敏感应

IF 4.8 2区化学 Q1 CHEMISTRY, ANALYTICAL

Microchemical Journal

Pub Date : 2024-09-07 DOI: 10.1016/j.microc.2024.111597

J.O. Esquivel-Rincón, A.R. Vilchis-Nestor, V.F. Ruiz-Ruiz, O.F. Olea-Mejía

Heavy metal detection in water bodies is crucial to prevent potential harm to the environment, animals and humans. While powerful techniques such as atomic absorption spectrometry exist, they often require extensive sample preparation and are typically confined to laboratory settings. As a result, alternative detection methods such as optical sensors, are under development to provide a simpler, faster, and on-site detection solution. In the present work spheroidal silver nanoparticles (AgNPs) with a mean size of 14.7 ± 0.6 nm were synthesized by laser ablation in a sodium citrate solution. These nanoparticles exhibit a localized surface plasmon resonance (LSPR), which is profoundly dependent on the size, morphology and composition of the nanoparticles and the refractive index of the surrounding media. The detection capabilities of these nanoparticles were assessed by exposing them to various metal ions, revealing a distinctive sensitivity to Hg ions. Notably, this particular ion had a significant impact on the extinction curve of the AgNPs. The impact of synthesis parameters, including sodium citrate and NaCl concentration, as well as pH, on the efficacy of Hg detection was systematically studied. Characterization techniques such as Dynamic Light Scattering (DLS), Transmission Electron Microscopy (TEM), High-Resolution TEM (HRTEM), and Scanning Transmission Electron Microscopy (STEM) were employed to determine the size, morphology, distribution, crystalline structure, and elemental composition of the AgNPs. The results indicated that AgNPs synthesized through laser ablation in a sodium citrate solution exhibited sensitive detection capabilities for Hg ions, reaching an LOD and LOQ of 0.9355 μM and 2.8350 μM respectively.

检测水体中的重金属对于防止对环境、动物和人类造成潜在危害至关重要。虽然存在原子吸收光谱法等强大的技术，但这些技术通常需要大量的样品制备，而且通常仅限于实验室环境。因此，目前正在开发光学传感器等替代检测方法，以提供更简单、快速和现场检测的解决方案。本研究在柠檬酸钠溶液中通过激光烧蚀合成了平均尺寸为 14.7 ± 0.6 nm 的球形银纳米粒子（AgNPs）。这些纳米粒子表现出局部表面等离子体共振（LSPR），它与纳米粒子的尺寸、形态和组成以及周围介质的折射率密切相关。通过将这些纳米粒子暴露于各种金属离子，对其检测能力进行了评估，结果表明它们对汞离子具有独特的灵敏度。值得注意的是，汞离子对 AgNPs 的消光曲线有显著影响。系统研究了柠檬酸钠、NaCl 浓度和 pH 值等合成参数对汞检测效果的影响。采用动态光散射（DLS）、透射电子显微镜（TEM）、高分辨率电子显微镜（HRTEM）和扫描透射电子显微镜（STEM）等表征技术测定了 AgNPs 的尺寸、形态、分布、晶体结构和元素组成。结果表明，在柠檬酸钠溶液中通过激光烧蚀合成的 AgNPs 对汞离子具有灵敏的检测能力，其 LOD 和 LOQ 分别为 0.9355 μM 和 2.8350 μM。

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引用次数: 0