Microchemical Journal最新文献_第4页

pH sensitive indicator film based intelligent packaging systems of perishables: Developments and challenges of last decade 基于 pH 值敏感指示膜的易腐食品智能包装系统：过去十年的发展与挑战

IF 4.9 2区化学 Q1 CHEMISTRY, ANALYTICAL

Microchemical Journal

Pub Date : 2024-09-26 DOI: 10.1016/j.microc.2024.111732

Consumers’ demand for novel and non-destructive systems to assess food freshness in real time has led to the development of halochromic or pH-sensitive dyes based freshness indicators (FI) as affordable technique for intelligent monitoring of perishable food. However, the genuine concern regarding the toxicity and deleterious health effect of incorporating conventional synthetic dyes in commercially available halochromic freshness indicators (i.e. fresh tag, checkpoint, and sensorQ) and their sole purpose of monitoring the freshness status of muscle foods (i.e. fish, meat, beef, and shrimp) have led to the revolutionary idea of developing a non-toxic, chemical-free, and sustainable FI based on natural pH-sensitive dyes and polymer matrix. This review delves into significant advances in the chemistry, composition, production, food interaction, stabilization and broad applications of pH-sensitive dyes in the food sector. Unfortunately, the pH-sensitive dyes have reported limited applications in fresh fruit and vegetable industry due to challenges like erratic fluctuations in pH as influenced by factors i.e. high respiration, faster ripening, and environmental changes, inability to distinguish ripening from spoilage, and complex standardization process for specific commodities. These issues merit the demand for further investigations to ensure the utilization of these smart monitoring systems in the modern industry for perishables. The use of FI can potentially play a significant role in reforming food industry, enhance consumer safety, reduce the risk of foodborne illnesses, and aid in the development of a more efficient and sustainable food supply system. Exploration of new natural ingredients and high sensitivity indicators for both animal and plant food products shall drive the innovations in FI for the food industry.

消费者对实时评估食品新鲜度的非破坏性新系统的需求促使人们开发了基于卤变色或 pH 敏感染料的新鲜度指示器（FI），作为对易腐食品进行智能监测的经济实惠的技术。然而，市场上现有的卤代新鲜度指示器（即新鲜标签、检查点和传感器Q）中使用的传统合成染料的毒性和对健康的有害影响，以及它们监测肌肉食品（即鱼、肉、牛肉和虾）新鲜度状态的唯一目的，引发了人们对开发基于天然 pH 值敏感染料和聚合物基质的无毒、无化学物质和可持续新鲜度指示器的革命性想法的真正担忧。本综述深入探讨了 pH 值敏感染料在化学、组成、生产、食品相互作用、稳定以及在食品领域的广泛应用等方面取得的重大进展。遗憾的是，pH 值敏感型染料在新鲜水果和蔬菜行业中的应用有限，这是因为存在一些挑战，如受高呼吸作用、快速成熟和环境变化等因素的影响，pH 值波动不稳定，无法区分成熟和变质，以及针对特定商品的复杂标准化过程。这些问题都需要进一步研究，以确保在现代易腐食品工业中使用这些智能监测系统。使用 FI 有可能在食品工业改革、提高消费者安全、降低食源性疾病风险方面发挥重要作用，并有助于发展更高效、更可持续的食品供应系统。探索新的天然成分和动植物食品的高灵敏度指标，将推动食品工业在食品成分分析方面的创新。

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引用次数: 0

Fluorine and boron co doped porous carbon materials as an electrochemical platform in trace-level sodium nitrite sensing 氟和硼共掺杂多孔碳材料作为痕量亚硝酸钠传感的电化学平台

IF 4.9 2区化学 Q1 CHEMISTRY, ANALYTICAL

Microchemical Journal

Pub Date : 2024-09-25 DOI: 10.1016/j.microc.2024.111769

Sodium nitrite (NaNO₂) is a common chemical oilfield tracer in the field of reservoir geological analysis. A simple, sensitive, and accurate electrochemical detection method for detection of NaNO₂ has been studied. The electrode carbon porous material was based on coal tar pitch n-pentane insoluble extractants (CTPNI) and doped with the elements of fluorine (F) and boron (B) and labeled as FB-CTPNI-PC and an electrochemical sensor modified with FB-CTPNI-PC material was constructed for rapid detection of NaNO₂. The characterization results of SEM and TEM indicate that this material has certain number of pore structures, also the BET analysis showed that has main pore size distribution is around the range of 2–20 nm, with abundant mesoporous structure. Moreover, the modified electrode has a good electrocatalytic effect on NaNO₂. The electrochemical reaction mechanism of NaNO₂ on the surface of the modified electrode was a diffusion-controlled process involving protons. The detection range of NaNO₂ can reach 0.1 mM–9.5 mM. When the S/N is 3, the sensitivity is 219.8592 A·L·cm²·mol⁻¹ and the detection limit (LOD) is 0.011 μM. The constructed electrochemical sensor has been applied to the rapid detection of NaNO₂ in real oilfield water, with recovery rates ranging from 99.7 % to 103.4 %. It is also roughly consistent with the results of ion chromatography (IC) in detecting NaNO₂ in oilfield water, indicating that the sensor has high accuracy. This has provided a new prospect for oil filed tracer and detection technologies.

亚硝酸钠（NaNO2）是油藏地质分析领域常见的油田化学示踪剂。研究了一种简单、灵敏、准确的电化学检测方法来检测 NaNO2。以煤沥青正戊烷不溶性萃取剂（CTPNI）为基础，掺杂氟（F）和硼（B）元素的电极碳多孔材料被标记为 FB-CTPNI-PC，用 FB-CTPNI-PC 材料修饰的电化学传感器被构建用于快速检测 NaNO2。SEM 和 TEM 表征结果表明，该材料具有一定数量的孔结构，BET 分析表明其主要孔径分布在 2-20 nm 左右，具有丰富的介孔结构。此外，改性电极对 NaNO2 具有良好的电催化效果。NaNO2 在改性电极表面的电化学反应机理是一个涉及质子的扩散控制过程。NaNO2 的检测范围可达 0.1 mM-9.5 mM。当信噪比为 3 时，灵敏度为 219.8592 A-L-cm2-mol-1，检测限（LOD）为 0.011 μM。所构建的电化学传感器已应用于实际油田水中 NaNO2 的快速检测，回收率从 99.7 % 到 103.4 % 不等。在油田水中检测 NaNO2 的结果也与离子色谱法（IC）基本一致，表明该传感器具有很高的准确性。这为滤油示踪和检测技术提供了新的前景。

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引用次数: 0

Fluorescent aptasensor based on competitive recognition strategies and point-of-care testing system for brain natriuretic peptide detection 基于竞争性识别策略的荧光适配传感器和用于检测脑钠肽的床旁检测系统

IF 4.9 2区化学 Q1 CHEMISTRY, ANALYTICAL

Microchemical Journal

Pub Date : 2024-09-24 DOI: 10.1016/j.microc.2024.111742

Brain natriuretic peptide (BNP) is the preferred biomarker for clinical analysis, widely used in early screening and prognostic monitoring of cardiovascular and neurological diseases. Due to the low concentration and short half-life of BNP in the blood, its sensitive detection remains a challenge that must be overcome. With the rapid development of molecular diagnosis and point-of-care testing (POCT), developing a BNP biosensor with high sensitivity, good stability, accuracy, speed, and low-cost is of great significance for clinical applications and emergency diagnosis. However, BNP in human blood exists in various forms, and traditional fluorescence sensors may lead to overestimation of the concentration. In this work, we constructed an “on” fluorescent aptasensor based on competitive recognition strategy for quantitative detection of BNP, and built a fluorescence sensing detection system based on smartphone to achieve rapid on-site detection. We designed a specific aptamer labeled with carboxyfluorescein (FAM) with a simple structure and high biological affinity for selective capture of BNP, and utilized the large specific surface area and excellent fluorescence quenching effect of carboxylated graphene oxide (GO-COOH) as a carrier and quencher for the aptasensor. By optimizing experimental parameters such as aptamer and GO-COOH concentrations, as well as quenching/recovery time, linear sensitive detection of BNP was achieved in the concentration range of 0.01 ng/mL–10 ng/mL, with a detection limit as low as 10 pg/mL, good specificity, and excellent application potential in artificial serum spiking experiments. Additionally, a stable and sensitive fluorescence signal collection system has been developed to meet the needs of portable detection, breaking through the usage environment of traditional fluorescence detection equipment and filling the gap of portable fluorescence biosensing. In summary, we have creatively proposed a fluorescent aptasensor that enables rapid and sensitive detection of BNP and the development of low-cost fluorescent biosensors. The combination with POCT has shown broad application prospects and also provides some ideas for the fluorescence detection of other protein biomarkers.

脑钠肽 (BNP) 是临床分析的首选生物标志物，广泛用于心血管和神经系统疾病的早期筛查和预后监测。由于 BNP 在血液中的浓度低、半衰期短，对其进行灵敏检测仍是一项必须克服的挑战。随着分子诊断和床旁检测（POCT）的快速发展，开发一种灵敏度高、稳定性好、准确性高、速度快、成本低的 BNP 生物传感器对临床应用和紧急诊断具有重要意义。然而，人体血液中的 BNP 以各种形式存在，传统的荧光传感器可能会导致浓度被高估。在这项工作中，我们构建了一种基于竞争性识别策略的 "开启式 "荧光适配体传感器，用于定量检测 BNP，并构建了基于智能手机的荧光传感检测系统，以实现现场快速检测。我们设计了一种用羧基荧光素（FAM）标记的特异性适配体，该适配体结构简单、生物亲和性高，可选择性捕获 BNP，并利用羧基氧化石墨烯（GO-COOH）的大比表面积和优异的荧光淬灭效果作为适配传感器的载体和淬灭剂。通过优化适配体和 GO-COOH 的浓度以及淬灭/恢复时间等实验参数，在 0.01 ng/mL-10 ng/mL 的浓度范围内实现了对 BNP 的线性灵敏检测，检测限低至 10 pg/mL，具有良好的特异性，在人工血清添加实验中具有极佳的应用潜力。此外，针对便携式检测的需求，我们还开发了一套稳定、灵敏的荧光信号采集系统，突破了传统荧光检测设备的使用环境，填补了便携式荧光生物传感的空白。综上所述，我们创造性地提出了一种能快速灵敏检测 BNP 的荧光适配传感器，并开发了低成本的荧光生物传感器。它与 POCT 的结合具有广阔的应用前景，同时也为其他蛋白质生物标记物的荧光检测提供了一些思路。

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引用次数: 0

Advances in Fourier infrared spectroscopy for noninvasive diagnosis of diabetes mellitus: Analysis and prospects for application based on blood, urine and saliva samples 用于糖尿病无创诊断的傅立叶红外光谱技术的进展：基于血液、尿液和唾液样本的分析与应用前景

IF 4.9 2区化学 Q1 CHEMISTRY, ANALYTICAL

Microchemical Journal

Pub Date : 2024-09-24 DOI: 10.1016/j.microc.2024.111764

Diabetes, a prevalent metabolic disorder, is typically diagnosed through the analysis of blood samples. Biochemical assays predicated on blood analysis, while affording a high degree of accuracy, inherently involve an invasive procedure and present logistical inconveniences for patients, thereby necessitating the exploration of alternative diagnostic modalities. In recent years, Fourier transform infrared spectroscopy (FTIR) has emerged as a promising tool for the rapid, sensitive, cost-effective, and non-invasive investigation of diagnostic modalities for diabetes mellitus, offering a novel avenue for advancing diabetes management strategies. This review offers a comprehensive summary of the current research landscape in recent years, focusing on the application of FTIR analysis for the detection of biological body fluids in the context of diabetes diagnosis. It encompasses an introductory overview of the research methodology employed for diagnosing diabetes through the analysis of three distinct body fluids, along with a forward-looking perspective on its potential implications and applications. The review commences with a comprehensive overview of the introduction and utilization of blood, urine, and saliva samples in the context of diabetes research. A meticulous comparison of existing research findings underscores the efficacy of Fourier Transform Infrared (FTIR) spectroscopy as a discriminating tool for differentiating body fluid samples derived from diabetic patients and those from healthy individuals. This advanced technique exhibits remarkable capability in identifying and distinguishing among diabetic patients by precisely quantifying the intensity and frequency of characteristic spectral peaks corresponding to specific biochemical components present within body fluids. FTIR spectroscopy holds promising clinical applications for diabetes diagnosis in body fluids, aiming to enable early detection and non-invasive monitoring via rapid biomarker identification.

糖尿病是一种常见的代谢性疾病，通常通过分析血液样本来诊断。以血液分析为基础的生化检测虽然具有很高的准确性，但其本身涉及侵入性程序，给患者带来后勤方面的不便，因此有必要探索其他诊断方式。近年来，傅立叶变换红外光谱（FTIR）已成为一种快速、灵敏、经济、无创的糖尿病诊断方法，为推进糖尿病管理策略提供了一条新途径。本综述全面总结了近年来的研究现状，重点介绍了在糖尿病诊断中应用傅立叶变换红外分析检测生物体液的情况。综述介绍了通过分析三种不同体液诊断糖尿病的研究方法，并对其潜在影响和应用进行了前瞻性展望。综述首先全面概述了在糖尿病研究中引入和使用血液、尿液和唾液样本的情况。通过对现有研究成果的细致比较，强调了傅立叶变换红外（FTIR）光谱作为一种鉴别工具在区分糖尿病患者和健康人体液样本方面的功效。这种先进的技术通过精确量化与体液中特定生化成分相对应的特征光谱峰的强度和频率，在识别和区分糖尿病患者方面表现出卓越的能力。傅立叶变换红外光谱技术在体液中诊断糖尿病方面具有广阔的临床应用前景，其目的是通过快速生物标记物鉴定实现早期检测和无创监测。

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引用次数: 0

A sensitive Fe3O4@MnO2 nanocatalyst designed for visual determination of total antioxidant capacity in fruit juice 一种灵敏的 Fe3O4@MnO2 纳米催化剂，用于目测果汁中的总抗氧化能力

IF 4.9 2区化学 Q1 CHEMISTRY, ANALYTICAL

Microchemical Journal

Pub Date : 2024-09-24 DOI: 10.1016/j.microc.2024.111709

Fruit juice is kind of popular beverage food worldwidely, and its total antioxidant capacity (TAC) is generally considered as an important index for people’s rational diet, thus accurate evaluation of its TAC is essential for human health guidance. Herein, we constructed a sensitive Fe₃O₄@MnO₂ nanocatalyst that was delicately cored with magnetite nanoparticles (Fe₃O₄ NPs) and encapsulated with manganese dioxide (MnO₂) nanoshells for fast and accurate TAC colorimetric analysis in fruit juice. The data showed the fabricated Fe₃O₄@MnO₂ nanocatalysts performed with remarkable oxidase mimetic activities and could catalyze oxidization of colorimetric substrate without additional H₂O₂, and the limit of detection (LOD) was about 0.39 μM for ascorbic acid (AA) evaluation. Applied in commercial fruit juice products, the fabricated Fe₃O₄@MnO₂ nanocatalysts showed a reliable and visual assessment for the accurate TAC analysis. In addition, the fabricated Fe₃O₄@MnO₂ nanocatalysts could be easily recycled due to their intrinsic superparamagnetic property. Together, an intellegent Fe₃O₄@MnO₂ nanocatalyst was well developed for visual TAC analysis in fruit juice with convenient applications in future.

果汁是一种风靡全球的饮料食品，其总抗氧化能力（TAC）通常被视为人们合理膳食的一项重要指标，因此准确评估其总抗氧化能力对指导人类健康至关重要。在此，我们构建了一种灵敏的Fe3O4@MnO2纳米催化剂，该催化剂由磁铁矿纳米颗粒（Fe3O4 NPs）和二氧化锰（MnO2）纳米壳封装而成，可用于果汁中总抗氧化能力的快速准确比色分析。数据显示，制备的 Fe3O4@MnO2 纳米催化剂具有显著的氧化酶模拟活性，无需额外的 H2O2 即可催化比色底物的氧化，抗坏血酸（AA）的检测限（LOD）约为 0.39 μM。将制备的 Fe3O4@MnO2 纳米催化剂应用于商业果汁产品中，可对 TAC 进行可靠的直观评估和准确分析。此外，由于其固有的超顺磁性，制备的 Fe3O4@MnO2 纳米催化剂很容易回收利用。总之，一种智能型 Fe3O4@MnO2 纳米催化剂的研制成功为果汁中 TAC 的可视化分析提供了便利，并将在未来得到广泛应用。

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引用次数: 0

Intelligent and automatic characterization of ignitable liquid residues by using total ion spectrum and machine learning 利用总离子谱和机器学习对可燃液体残留物进行智能自动表征

IF 4.9 2区化学 Q1 CHEMISTRY, ANALYTICAL

Microchemical Journal

Pub Date : 2024-09-24 DOI: 10.1016/j.microc.2024.111757

The identification and classification of ignitable liquid residues (ILRs) are among the most challenging steps in a fire investigation. Traditionally, fire debris samples are analyzed by GC–MS according to ASTM E1618 guidelines, where ILRs are determined via chromatographic pattern comparison with reference samples and classified according to ASTM classes. This complex and partially subjective task relies heavily on an experienced analyst and does not lend itself to automation. This study aims to provide alternative methods for the automatic data classification based on the total ion spectrum (TIS) combined with machine learning (ML) algorithms. We evaluated and compared thermal desorption of ILRs from activated charcoal strips (ACS samples) and direct headspace analysis of different fire debris samples to develop automated discrimination of different ILRs. Hierarchical cluster analysis (HCA) and supervised ML algorithms like linear discriminant analysis (LDA), support vector machines (SVM), and random forest (RF) were employed. The samples tended to initially cluster according to the presence/absence of ILRs followed by the type of ILR. Three datasets were tested (1) ILRs presence/absence, (2) ILR classification, and (3) combination of both. For ACS samples, all the datasets achieved 100% classification accuracies. For direct headspace analysis, dataset (1) resulted in 100% accuracies when the three algorithms were used. Models using dataset (2) and (3) achieved less than 100%. A prototype web-based application for the automatized discrimination of ACS samples was created using the SVM model. The application of ML algorithms demonstrated the effectiveness of the developed methods as supplementary to traditional ASTM method. These methods provide significant potential for automating the classification of ILRs therefore they can be useful to the experts in interpreting fire debris data.

可燃液体残留物 (ILR) 的鉴定和分类是火灾调查中最具挑战性的步骤之一。传统上，根据 ASTM E1618 准则使用 GC-MS 分析火灾残留物样本，通过与参考样本进行色谱模式比较来确定 ILR，并根据 ASTM 等级进行分类。这项复杂且带有部分主观性的任务在很大程度上依赖于经验丰富的分析师，无法实现自动化。本研究旨在提供基于总离子谱 (TIS) 并结合机器学习 (ML) 算法的自动数据分类替代方法。我们评估并比较了活性炭带（ACS 样品）的热解吸 ILR 和不同火灾残骸样品的直接顶空分析，以开发自动分辨不同 ILR 的方法。我们采用了层次聚类分析（HCA）和有监督的 ML 算法，如线性判别分析（LDA）、支持向量机（SVM）和随机森林（RF）。样本最初倾向于根据是否存在 ILR 进行聚类，然后再根据 ILR 的类型进行聚类。测试了三个数据集：（1）ILRs 存在/不存在；（2）ILR 分类；（3）两者的组合。对于 ACS 样品，所有数据集的分类准确率都达到了 100%。对于直接顶空分析，当使用三种算法时，数据集（1）的准确率为 100%。使用数据集（2）和（3）的模型的准确率低于 100%。使用 SVM 模型创建了一个自动分辨 ACS 样品的网络应用原型。ML 算法的应用证明了所开发方法作为传统 ASTM 方法补充的有效性。这些方法为 ILR 自动化分类提供了巨大的潜力，因此对专家解释火灾残骸数据非常有用。

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引用次数: 0

Simultaneous determination of florfenicol, its metabolite and three fluoroquinolone residues in poultry muscles via high-performance liquid chromatography with fluorescence detection 通过高效液相色谱-荧光检测法同时测定家禽肌肉中的氟苯尼考、其代谢物和三种氟喹诺酮类药物残留量

IF 4.9 2区化学 Q1 CHEMISTRY, ANALYTICAL

Microchemical Journal

Pub Date : 2024-09-24 DOI: 10.1016/j.microc.2024.111754

A high-performance liquid chromatography with fluorescence detection (HPLC–FLD) procedure was developed and refined to detect florfenicol (FF), its metabolite florfenicol amine (FFA), and three fluoroquinolone (FQ) residues present in poultry muscles concurrently. Sample pretreatment was conducted through liquid–liquid extraction (LLE). Ethylenediaminetetraacetic acid (EDTA), 90 % acetonitrile and acetonitrile were used as extraction solvents. The stationary phase employed was an XBridge BEH C18 column (5 μm, 4.6 mm × 150 mm), and the mobile phase consisted of a 0.01 mol/L solution of sodium dihydrogen phosphate and acetonitrile (65:35, V/V); the former contained 0.005 mol/L sodium dodecyl sulfate and 0.1 % triethylamine (pH adjusted to 4.8 with phosphoric acid). The limits of detection (LODs) and limits of quantification (LOQs) were 0.03–1.5 µg/kg and 0.1–5.0 μg/kg, respectively. The linear relationships were satisfactory within the corresponding concentration ranges, with determination coefficients (R²) ≥ 0.9997. The mean recoveries ranged from 70.34 to 94.98 %, and the intraday relative standard deviations (RSDs) and interday RSDs were 1.46–6.24 % and 1.60–7.31 %, respectively. This verified method is applicable and reliable for analyzing actual samples.

开发并改进了一种高效液相色谱-荧光检测（HPLC-FLD）程序，用于同时检测家禽肌肉中的氟苯尼考（FF）、其代谢物氟苯尼考胺（FFA）和三种氟喹诺酮类药物（FQ）残留。样品预处理采用液液萃取法（LLE）。萃取溶剂为乙二胺四乙酸（EDTA）、90%乙腈和乙腈。固定相为 XBridge BEH C18 色谱柱（5 μm，4.6 mm × 150 mm），流动相为 0.01 mol/L 磷酸二氢钠和乙腈溶液（65:35，V/V）；前者含有 0.005 mol/L 十二烷基硫酸钠和 0.1 % 三乙胺（pH 值用磷酸调至 4.8）。检出限（LOD）和定量限（LOQ）分别为 0.03-1.5 µg/kg 和 0.1-5.0 μg/kg。在相应的浓度范围内线性关系良好，测定系数 (R2) ≥ 0.9997。平均回收率为70.34%～94.98%，日内相对标准偏差为1.46%～6.24%，日间相对标准偏差为1.60%～7.31%。该验证方法适用于实际样品的分析，结果可靠。

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引用次数: 0

Utilizing HPLC-DAD, multivariate analysis, molecular docking, and in vitro validation methods to investigate phenolic compounds with potential antidiabetic properties in Fraxinus mandshurica 利用 HPLC-DAD、多元分析、分子对接和体外验证方法研究梣树中具有潜在抗糖尿病特性的酚类化合物

IF 4.9 2区化学 Q1 CHEMISTRY, ANALYTICAL

Microchemical Journal

Pub Date : 2024-09-24 DOI: 10.1016/j.microc.2024.111771

This comprehensive study utilized response surface methodology (RSM) to optimize extraction conditions for total flavonoids and phenols from F. mandshurica. Optimal conditions for flavonoids were 75 % ethanol, 63 °C, and 84 min, yielding 14.98 ± 0.13 mg/g. For phenols, it was 70 % ethanol, 66 °C, and 87 min, resulting in 26.04 ± 0.22 mg/g. UPLC-Q-TOF-MS/MS identified 68 constituents in F. mandshurica, categorized into groups. HPLC-DAD established a method for quantitative analysis of 12 target compounds. Geographical distribution analysis highlighted the northeast region as the main production area. Fingerprinting of 30 samples and multivariate analysis identified five active compounds. Hierarchical cluster analysis (HCA) showed differences in active compounds based on origin. In vitro antidiabetic evaluation demonstrated α-glucosidase inhibitory effects. Molecular docking studies were conducted between 12 active compounds and the antidiabetic-related protein 8A27. Esculetin had the highest binding affinity. The study examined extraction methods, analyzed samples, and explored antidiabetic effects, providing data support and insights for F. mandshurica as a natural industrial product and for extracts and active compounds as antidiabetic sources.

这项综合研究利用响应面方法（RSM）优化了从F. mandshurica中提取总黄酮和酚的条件。黄酮类化合物的最佳萃取条件为 75%乙醇、63 °C、84 分钟，萃取率为 14.98 ± 0.13 mg/g。酚类物质的最佳提取条件为 70 %乙醇、66 °C 和 87 分钟，结果为 26.04 ± 0.22 mg/g。UPLC-Q-TOF-MS/MS 鉴别出了 F. mandshurica 中的 68 种成分，并进行了分类。HPLC-DAD 建立了 12 种目标化合物的定量分析方法。地理分布分析强调东北地区是主要产区。通过对 30 份样品进行指纹图谱分析和多元分析，确定了 5 种活性化合物。层次聚类分析（HCA）显示了基于产地的活性化合物差异。体外抗糖尿病评估显示了α-葡萄糖苷酶抑制作用。12 种活性化合物与抗糖尿病相关蛋白 8A27 进行了分子对接研究。埃斯库莱廷的结合亲和力最高。该研究考察了提取方法、分析了样品并探讨了抗糖尿病作用，为将曼殊兰作为一种天然工业产品以及将提取物和活性化合物作为抗糖尿病来源提供了数据支持和见解。

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引用次数: 0

Preparation and multipurpose applications of nitrogen-sulfur doped carbon dots fluorescent probe for Ga3+ and riboflavin (VB2) detection 用于 Ga3+ 和核黄素 (VB2) 检测的氮硫掺杂碳点荧光探针的制备及其多用途应用

IF 4.9 2区化学 Q1 CHEMISTRY, ANALYTICAL

Microchemical Journal

Pub Date : 2024-09-24 DOI: 10.1016/j.microc.2024.111759

Designing versatile carbon quantum dots (CDs) with excellent sensitivity and unique function as efficient fluorescent probe for detection of specific substance from cheap and readily available substrates is still a crucial challenge. A novel nitrogen-sulfur doped carbon dots (N, S-CDs) with blue-green fluorescent emission derived from lactose and 4-amino-3-hydroxy-1-naphthalenesulfonic acid (AHNS) was facilely synthesized by one-step hydrothermal process. The obtained N, S-CDs with graphene structure exhibited good water solubility, excellent biocompatibility, satisfactory stability and striking optical properties. The surface of N, S-CDs is modified by various functional groups which are helpful to combine with Ga³⁺ in the form of complexes N, S-CDs-Ga³⁺ to considerably enhance the fluorescence emission peak of N, S-CDs, further improving the selectivity and sensitivity of Ga³⁺ detection with the detection limit of 0.133 μM. At the meantime, N, S-CDs can cause yellow fluorescence quenching of riboflavin (VB₂) with the detection limit of 0.121 μM under the concentration range from 1.000-20.000 μM. The possible mechanism is the functional groups at the surface of N, S-CDs combined with the hydroxyl, amino and carbonyl group of VB₂ by protonation and hydrogen bonds. Further investigations for practical applications demonstrated that N, S-CDs has good prospects in Ga³⁺ananlysis and detection of VB₂ in food. Moreover, N, S-CDs can be used to determine whether there is Ga³⁺ in transferrin, which can indirectly inhibit the growth of cancer cells through the influence on transporting iron ion. Therefore, it is profitable for preliminary diagnosis and treatment of cancer cells in the field of biomedicine.

设计灵敏度高、功能独特的多功能碳量子点（CDs），作为高效荧光探针从廉价易得的基质中检测特定物质，仍然是一项重大挑战。一种新型的氮硫掺杂碳点（N，S-CDs）具有蓝绿色荧光发射，由乳糖和 4-氨基-3-羟基-1-萘磺酸（AHNS）通过一步水热法轻松合成。所获得的具有石墨烯结构的 N, S-CDs 具有良好的水溶性、优异的生物相容性、令人满意的稳定性和引人注目的光学特性。N, S-CDs 表面被多种官能团修饰，有利于与 Ga3+ 以 N, S-CDs-Ga3+ 复合物的形式结合，从而大大提高了 N, S-CDs 的荧光发射峰，进一步提高了 Ga3+ 检测的选择性和灵敏度，其检测限为 0.133 μM。同时，在 1.000-20.000 μM 的浓度范围内，N, S-CDs 能引起核黄素（VB2）的黄色荧光淬灭，检测限为 0.121 μM。可能的机理是 N、S-CD 表面的官能团通过质子化和氢键与 VB2 的羟基、氨基和羰基结合。进一步的实际应用研究表明，N, S-CDs 在 Ga3+anlysis 和检测食品中的 VB2 方面具有良好的应用前景。此外，N, S-CDs 还可用于确定转铁蛋白中是否含有 Ga3+，而 Ga3+可通过影响铁离子的运输间接抑制癌细胞的生长。因此，在生物医学领域，它对癌细胞的初步诊断和治疗很有帮助。

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引用次数: 0

Novel sulfonylurea fluorescence probes for antiproliferative activity, detection and imaging of fluoride ions in living cells 用于活细胞中氟离子的抗增殖活性、检测和成像的新型磺酰脲类荧光探针

IF 4.9 2区化学 Q1 CHEMISTRY, ANALYTICAL

Microchemical Journal

Pub Date : 2024-09-24 DOI: 10.1016/j.microc.2024.111760

In this study, four novel triphenylpyrazoline 4-toluenesulfonylureas (PYSUs) were synthesized to develop potential anticancer drugs and fluorescent probes for the detection of F⁻ ions. The compounds were synthesized via a two-step microwave-assisted method. The antiproliferative activity of the PYSUs was tested against two cancer cell lines: HepG2 and MDA-MB-231. Among the compounds, 3a exhibited strong activity against both cell lines, while 3b showed strong activity against MDA-MB-231 cells but weaker inhibition of HepG2 cells. Furthermore, compound 3b was identified as the best fluorescent probe, with an increase in emission intensity in the presence of F⁻ ions from tetrabutylammonium fluoride (TBAF). In DMSO, the emission wavelength was found to be 518 nm (green) with an excitation wavelength of 469 nm. The limit of detection (LOD) was calculated to be 0.269 mM in the linear range of 5–10 mM. The interaction mechanism between F⁻ ions and compound 3b was further explored via DFT/TDDFT calculations. Additionally, fluorescent imaging of TBAF-incubated MDA-MB-231 and HepG2 cells confirmed the potential of PYSUs as fluorescent sensors for F⁻ ions in living cancer cells.

本研究合成了四种新型三苯基吡唑啉-4-甲苯磺酰脲（PYSUs），以开发潜在的抗癌药物和用于检测 F 离子的荧光探针。这些化合物是通过两步微波辅助法合成的。PYSUs的抗增殖活性针对两种癌细胞系进行了测试：HepG2 和 MDA-MB-231。在这些化合物中，3a 对这两种细胞株都有很强的活性，而 3b 对 MDA-MB-231 细胞有很强的活性，但对 HepG2 细胞的抑制作用较弱。此外，化合物 3b 被确定为最佳荧光探针，在四丁基氟化铵（TBAF）中的 F- 离子存在时，其发射强度会增加。在二甲基亚砜中，发射波长为 518 纳米（绿色），激发波长为 469 纳米。在 5-10 毫摩尔的线性范围内，检测限（LOD）为 0.269 毫摩尔。通过 DFT/TDDFT 计算，进一步探讨了 F 离子与化合物 3b 之间的相互作用机制。此外，TBAF 培养的 MDA-MB-231 和 HepG2 细胞的荧光成像证实了PYSUs 作为 F- 离子荧光传感器在活癌细胞中的潜力。

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引用次数: 0