Sensing and Bio-Sensing Research最新文献_第2页

Surface-enhanced Raman based machine learning for rapid detection of Ang-1, Ang-2, and sTREM-1 sepsis biomarkers 基于表面增强拉曼的机器学习用于快速检测Ang-1、Ang-2和sTREM-1败血症生物标志物

IF 4.9 Q1 CHEMISTRY, ANALYTICAL

Sensing and Bio-Sensing Research

Pub Date : 2026-01-10 DOI: 10.1016/j.sbsr.2026.100956

Sheral Kumar , Ziqi Li , Jialiang Tan , Yaming Cheng , Xiaolu Wang , Carlos Fernandes , Kathleen Zhong , Kevin Kain , Harry Ruda

Sepsis presents a significant global health concern, uniquely challenging as current diagnostic tools are limited in timeliness in both testing and detection ability for early stages of the condition. Surface-enhanced Raman spectroscopy (SERS) has demonstrated great potential in sensitive and selective identification of biomarkers within human samples. However, the information density within a SERS spectrum poses a challenge for interpretation and analysis of a patient sample. Machine learning (ML) can be leveraged to learn patterns within the data and enable identification and categorization of critical biomarkers. This paper presents two SERS based ML classification models to rapidly identify and quantify sepsis severity even in the early stages of a condition, using low sample volume. The first model detects Ang-1, Ang-2, and sTREM-1 sepsis biomarkers within human plasma samples at clinically significant concentrations outside of the normal human range, with up to 83.5% accuracy overall and 100% accuracy on normal samples. The second model categorizes sTREM-1 samples into clinically determined concentration ranges associated with 3 stages of sepsis severity, with up to 100% accuracy. Insight is also provided on key wavenumber regions for discrimination between biomarkers and normal plasma. Our findings illustrate the feasibility of SERS based ML approaches for rapid and early detection of life-threatening sepsis scenarios.

脓毒症是一个重要的全球健康问题，具有独特的挑战性，因为目前的诊断工具在早期阶段的检测和检测能力方面的及时性有限。表面增强拉曼光谱（SERS）在人类样本中生物标志物的敏感和选择性鉴定方面显示出巨大的潜力。然而，SERS谱内的信息密度对患者样本的解释和分析提出了挑战。机器学习（ML）可以用来学习数据中的模式，并实现关键生物标志物的识别和分类。本文提出了两种基于SERS的ML分类模型，即使在病情的早期阶段，也可以使用低样本量快速识别和量化脓毒症的严重程度。第一种模型检测人体血浆样本中的Ang-1、Ang-2和sTREM-1脓毒症生物标志物，其临床显著浓度超出正常人类范围，总体准确率高达83.5%，正常样本准确率为100%。第二种模型将sTREM-1样本分为临床确定的浓度范围，与脓毒症严重程度的3个阶段相关，准确率高达100%。洞察也提供了关键波数区域之间的生物标志物和正常血浆的区别。我们的研究结果说明了基于SERS的ML方法用于快速和早期检测危及生命的败血症的可行性。

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引用次数: 0

Deformation of liquid crystal droplets: A new sensing mode for Pb2+ detection 液晶液滴变形：一种新的Pb2+检测方式

IF 4.9 Q1 CHEMISTRY, ANALYTICAL

Sensing and Bio-Sensing Research

Pub Date : 2026-01-10 DOI: 10.1016/j.sbsr.2026.100962

Xuewan Wu, Rui Huang, Yanting Liu, Ruyi Deng, Ziyi Xiao, Zhixin Liu, Zhexuan Lin, Kaisong Yuan

Exploring sensing mode with new detection signal is of great significance in analytical chemistry. In this study, we introduce a new sensing mode that employs the deformation of liquid crystal (LC) droplets as a new detection signal. As a proof-of-concept, we fabricated SDS-coated liquid crystal (LC) droplets, where the degree of deformation shows a positive correlation with the concentration of the target analyte, lead ions (Pb²⁺). The limit of detection (LOD) for Pb²⁺ was determined to be 106.4 μg/mL, which is lower than the other metal ions. It is worth noting that preliminary experimental results demonstrate that other surfactants (such as sodium alpha-olefin sulfonate, AOS) and organic phase (such as vegetable oil) also could be employed to fabricate the droplets and show different response to metal ions, which show high flexibility of the as-proposed detection method.

探索具有新的检测信号的传感模式在分析化学中具有重要意义。在这项研究中，我们引入了一种新的传感模式，利用液晶液滴的变形作为新的检测信号。作为概念验证，我们制作了sds涂层液晶（LC）液滴，其中变形程度与目标分析物铅离子（Pb2+）的浓度呈正相关。Pb2+的检出限为106.4 μg/mL，低于其他金属离子。值得注意的是，初步实验结果表明，其他表面活性剂（如α -烯烃磺酸钠，AOS）和有机相（如植物油）也可用于制备液滴，并对金属离子表现出不同的响应，显示了所提出的检测方法的高度灵活性。

引用次数: 0

Electrochemical sensor based on NiCoCu-LTH and multi-walled carbon nanotubes for the selective detection of Crizotinib anticancer drug 基于NiCoCu-LTH和多壁碳纳米管的电化学传感器用于克唑替尼抗癌药物的选择性检测

IF 4.9 Q1 CHEMISTRY, ANALYTICAL

Sensing and Bio-Sensing Research

Pub Date : 2026-01-09 DOI: 10.1016/j.sbsr.2026.100960

Mahmoud Roushani, Zahra Mirzaei Karazan, Mohammad Alauldeen Yahya

The development of selective and cheap electrochemical sensor for drug detection is of great importance. Herein, a sensor was introduced based on glassy carbon electrode (GCE) modified with NiCoCu-layered triple hydroxide (LTH)/multi-walled carbon nanotubes (MWCNTs) nanocomposite for the electrochemical detection of Crizotinib (CZT). CZT is an anticancer drug proved to treatment of the lung cancer. The proposed sensor illustrated excellent electrocatalytic properties toward CZT. Enhancing the catalytic cavities via designing the morphology of nanostructures and tuning the electronic structure through heteroatom doping are the best strategies to increment electrocatalytic performance. In this study, porous NiCoCu-LTH was synthesized via a rapid and simple method and then for the electrochemical investigations, the GCE surface was modified with it. Electrochemical data were recorded through cyclic voltammetry (CV), electrochemical impedance spectroscopy (EIS), and differential pulse voltammetry (DPV). Under optimum condition, there is a linear response between current intensity and CZT concentration from 0.001 to 1500 nM with the limit of detection (LOD) of 0.0003 nM. The modified GCE displayed acceptable selectivity, stability, reproducibility, and repeatability. Finally, the sensor was successfully employed to detect CZT in actual sample. Besides, the performance of the proposed sensor was compared with high-performance liquid chromatography (HPLC) as a standard method.

开发具有选择性和廉价的电化学传感器用于药物检测具有重要意义。本文介绍了一种基于nicocu层状三氢氧化物(LTH)/多壁碳纳米管（MWCNTs）纳米复合材料修饰的玻碳电极（GCE）用于克唑替尼（CZT）电化学检测的传感器。CZT是一种被证明可以治疗肺癌的抗癌药物。该传感器对CZT具有优异的电催化性能。通过设计纳米结构的形态来增强催化空腔和通过杂原子掺杂来调整电子结构是提高电催化性能的最佳策略。本研究采用快速简便的方法合成了多孔NiCoCu-LTH，并用其修饰GCE表面进行电化学研究。通过循环伏安法（CV）、电化学阻抗谱法（EIS）和差分脉冲伏安法（DPV）记录电化学数据。在最佳条件下，电流强度与CZT浓度在0.001 ~ 1500 nM范围内呈线性关系，检出限为0.0003 nM。改良后的GCE表现出可接受的选择性、稳定性、再现性和重复性。最后，该传感器成功用于实际样品中的CZT检测。并将该传感器的性能与高效液相色谱（HPLC）作为标准方法进行了比较。

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引用次数: 0

ProbioticChip: A novel DNA microarray for accurate and efficient subspecies-level identification of probiotics 益生菌芯片：一种新的DNA微阵列，用于准确和高效的亚种水平益生菌鉴定

IF 4.9 Q1 CHEMISTRY, ANALYTICAL

Sensing and Bio-Sensing Research

Pub Date : 2026-01-08 DOI: 10.1016/j.sbsr.2026.100958

Yao-Kun Zhang , Fei-Fei Liu , Jiang Chen , Tao Jin , Liang Zhang , Wen-Sheng Shu , Shuang-Jiang Liu

The effects and efficacy of probiotics on the host depend on precise bacterial composition, making accurate taxonomic identification important for product quality control. Conventional approaches, including polyphasic methods (phenotype and chemotaxonomy) and 16S rRNA gene sequencing, are often limited in resolution, throughput, or quantitative accuracy. To address these limitations, we developed ProbioticChip, a DNA microarray comprising 13,318 probes targeting 37 commonly used probiotic taxa at the species and subspecies levels. Validation using 16 mock probiotic communities comprising 67 strains demonstrated that ProbioticChip can sensitively detect target taxa with high specificity. Quantitative evaluation further revealed a strong linear relationship between total probe fluorescence intensity and DNA input (R² > 0.90 across the range of 0.05–10 ng), indicating its sensitivity and potential utility for quantitative analysis. We further applied ProbioticChip to five commercial probiotic products, achieving species- and subspecies-level identification with preliminary quantitative estimates within three days. Together, these results indicate that ProbioticChip represents a rapid and high-throughput platform for compositional analysis of probiotic products, and may support applications in quality assessment and regulatory monitoring.

益生菌对宿主的作用和功效取决于精确的细菌组成，因此准确的分类鉴定对产品质量控制至关重要。传统的方法，包括多相方法（表型和化学分类）和16S rRNA基因测序，通常在分辨率、吞吐量或定量准确性方面受到限制。为了解决这些限制，我们开发了ProbioticChip，这是一种包含13318个探针的DNA微阵列，针对37种常用的益生菌类群在种和亚种水平上进行检测。通过对包含67个菌株的16个模拟益生菌群落进行验证，结果表明ProbioticChip对目标类群的检测灵敏度高，特异性强。定量评价进一步显示探针总荧光强度与DNA输入之间存在很强的线性关系（R2 > 0.90，在0.05-10 ng范围内），表明其灵敏度和定量分析的潜在效用。我们进一步将ProbioticChip应用于五种商业益生菌产品，在三天内实现了物种和亚种水平的鉴定和初步定量估计。总之，这些结果表明，ProbioticChip是一种快速、高通量的益生菌产品成分分析平台，可能支持在质量评估和监管监测方面的应用。

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引用次数: 0

Hybrid-cladding hexagonal-core photonic crystal fiber: A platform for ultra-sensitive terahertz detection of industrial liquid 混合包层六芯光子晶体光纤：一种工业液体超灵敏太赫兹探测平台

IF 4.9 Q1 CHEMISTRY, ANALYTICAL

Sensing and Bio-Sensing Research

Pub Date : 2026-01-08 DOI: 10.1016/j.sbsr.2026.100959

Md. Galib Hasan , Azizul Haque , Abdullah Al Mamun , Md. Jakir Hossen , A.H.M. Iftekharul Ferdous , Md. Asaduzzaman Shobug , Khalid Sifulla Noor

In this work, a hexagonal-core photonic crystal fiber (PCF) with hybrid rectangular and triangular cladding air holes for extremely sensitive chemical detection in the terahertz regime is proposed and numerically investigated. The finite element technique (FEM) in COMSOL Multiphysics is used to model the design, guaranteeing precise optical parameter evaluation. At 2.4 THz, the suggested sensor achieves record-high relative sensitivities of 99.98%, 99.88%, and 99.65% for water, ethanol, and benzene, respectively, with ultra-low confinement loss (1.4 × 10⁻¹² dB/m) and effective material loss (0.0012 cm⁻¹). A numerical aperture of 0.259, an effective area of 6.9 × 10⁻² m², and a spot size of 2.37 × 10⁻² μm are further performance characteristics. The novelty lies in the hybrid cladding geometry, where triangular and rectangular air-holes jointly strengthen field confinement, yielding near-unity relative sensitivity (99.34% for benzene). Existing PCF-based THz sensors do not combine multi-shape asymmetry for low-loss propagation.

在这项工作中，提出了一种具有混合矩形和三角形包层空气孔的六角形光子晶体光纤（PCF），用于太赫兹区域的极其敏感的化学检测，并进行了数值研究。利用COMSOL Multiphysics中的有限元技术对设计进行建模，保证了光学参数的精确计算。在2.4太赫兹下，该传感器对水、乙醇和苯的相对灵敏度分别达到了创纪录的99.98%、99.88%和99.65%，同时具有超低的约束损耗（1.4 × 10−12 dB/m）和有效材料损耗（0.0012 cm−1）。数值孔径为0.259，有效面积为6.9 × 10−2 m2，光斑尺寸为2.37 × 10−2 μm是进一步的性能特征。新颖之处在于混合包层的几何形状，其中三角形和矩形的空气孔共同加强了场约束，产生了接近一致的相对灵敏度（对苯的灵敏度为99.34%）。现有的基于pcf的太赫兹传感器没有结合多形状不对称来实现低损耗传播。

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引用次数: 0

Biomolecule analysis using portable absorption spectrophotometer with novel spatial filter 新型空间滤波器便携式吸收分光光度计的生物分子分析

IF 4.9 Q1 CHEMISTRY, ANALYTICAL

Sensing and Bio-Sensing Research

Pub Date : 2026-01-07 DOI: 10.1016/j.sbsr.2026.100955

Tomoki Tahara , Mami Akaike , Yutaro Arakaki , Kinichi Morita , Yoichi Saito , Yoshitaka Nakanishi , Yuta Nakashima

Biomolecules reflect the onset and progression of disease as well as overall health status, rendering their quantification essential. Although various techniques exist for biomolecule quantification, colorimetric analysis is widely used owing to its simplicity and rapid results. However, conventional absorption spectrophotometers used in such analyses suffer from measurement errors caused by stray light, such as reflected and scattered light, which compromise accuracy. This study introduces a portable absorption spectrophotometer with a novel spatial filter featuring a light-guiding structure designed to suppress stray light. This innovation enables rapid and highly sensitive quantification of biomolecules in the field. Using the proposed device, biomolecular samples including proteins and amino acids were analyzed. The results demonstrated a high linearity in the calibration curve (R² > 0.99), confirming a reliable correlation between absorbance and concentration. Real protein samples, such as serum and immune cells, were quantified with accuracies comparable to those of commercial spectrophotometers, further validating the applicability of the device. These findings highlight the device's potential as an effective tool for biomolecule evaluation in various environments, offering portability, sensitivity, and reliability.

生物分子反映了疾病的发生和进展以及整体健康状况，因此对其进行量化是必要的。虽然生物分子的定量技术多种多样，但比色分析因其简单、快速的结果而得到广泛的应用。然而，在这种分析中使用的传统吸收分光光度计存在由杂散光（如反射光和散射光）引起的测量误差，从而影响准确性。本研究介绍了一种便携式吸收分光光度计，该分光光度计具有新型空间滤光片，该滤光片具有抑制杂散光的导光结构。这一创新使该领域的生物分子的快速和高度敏感的定量。使用该装置，生物分子样品包括蛋白质和氨基酸进行分析。结果表明，在校准曲线上具有很高的线性关系（R2 > 0.99），证实了吸光度与浓度之间的可靠相关性。真实的蛋白质样品，如血清和免疫细胞，定量精度与商用分光光度计相当，进一步验证了该设备的适用性。这些发现突出了该设备作为各种环境中生物分子评估的有效工具的潜力，提供便携性，灵敏度和可靠性。

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引用次数: 0

Bio-inspired linseed derived carbon quantum dots as a fluorescent probe for the fluorimetric determination of imeglimin in biological fluids and dosage forms 生物启发亚麻籽衍生的碳量子点作为荧光探针，用于荧光测定生物液体和剂型中的伊米霉素

IF 4.9 Q1 CHEMISTRY, ANALYTICAL

Sensing and Bio-Sensing Research

Pub Date : 2025-12-20 DOI: 10.1016/j.sbsr.2025.100946

Aya Barseem , Reem H. Obaydo , Samar H. Elagamy

This study demonstrates the first fluorimetric method for the determination of Imeglimin IMG, a novel antidiabetic drug. Since IMG lacks native fluorescence, a novel bio-inspired linseed derived carbon quantum dots LIN-CQDs were utilized as a fluorescent probe for its determination. The LIN-CQDs exhibited strong native emission at 470 nm upon excitation at 380 nm. Comprehensive characterization of the synthesized LIN-CQDs was performed using transmission electron microscopy TEM, energy-dispersive X-ray spectroscopy EDX, and X-ray photoelectron spectroscopy XPS, which confirmed the successful formation of nitrogen-doped CQDs. The fluorescence intensity of LIN-CQDs was quenched progressively with increasing concentrations of IMG. The mechanism of quenching was studied and it was found to follow a static quenching process. The quenching response showed excellent linearity over the concentration range of 0.15–3.0 μg/mL. All experimental conditions influencing the quenching process were carefully optimized. The method was validated in compliance with ICH guidelines, demonstrating high accuracy, precision, and specificity. The results of statistical comparison with a previously reported HPLC method confirmed no evident difference between the two approaches for the assay of the drug in its dosage form. Furthermore, the developed method was successfully applied for the assay of IMG in biological fluids including spiked human plasma and urine. The sustainability of the developed method was evaluated using the Analytical Eco-Scale, AGSA, and ComplexMoGAPI, metrics. Owing to its simplicity, sensitivity, and sustainability, the proposed fluorimetric assay provides a green alternative for routine determination of IMG in pharmaceutical analysis.

本研究首次采用荧光法测定新型抗糖尿病药物依米霉素的含量。由于IMG缺乏天然荧光，我们利用一种新型生物启发亚麻籽衍生的碳量子点LIN-CQDs作为荧光探针来测定其荧光。在380 nm激发下，LIN-CQDs在470 nm处表现出较强的天然发射。利用透射电子显微镜（TEM）、能量色散x射线能谱（EDX）和x射线光电子能谱（XPS）对合成的LIN-CQDs进行了综合表征，证实了氮掺杂CQDs的成功形成。随着IMG浓度的增加，LIN-CQDs的荧光强度逐渐猝灭。对其淬火机理进行了研究，发现其遵循静态淬火过程。在0.15 ~ 3.0 μg/mL的浓度范围内，猝灭响应呈良好的线性关系。对影响淬火过程的实验条件进行了优化。该方法符合ICH指南，具有较高的准确性、精密度和特异性。与先前报道的高效液相色谱法进行统计比较的结果证实，两种方法对其剂型的测定没有明显差异。此外，所开发的方法已成功地应用于生物液体（包括加标的人血浆和尿液）中IMG的测定。采用分析生态尺度、AGSA和ComplexMoGAPI指标对所开发方法的可持续性进行了评估。由于其简单、敏感和可持续性，所提出的荧光测定法为药物分析中常规测定IMG提供了一种绿色替代方法。

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引用次数: 0

Design of surface plasmon resonance sensor enhanced by graphene deposition for breast cancer detection 石墨烯沉积增强表面等离子体共振传感器用于乳腺癌检测的设计

IF 4.9 Q1 CHEMISTRY, ANALYTICAL

Sensing and Bio-Sensing Research

Pub Date : 2025-12-20 DOI: 10.1016/j.sbsr.2025.100947

Arthur A. Melo, Antonio M.N. Lima

This paper presents a systematic design procedure for optimizing a graphene-enhanced surface plasmon resonance (SPR) sensor for breast cancer detection. The study establishes a comprehensive methodology to determine the optimal sensor structure by evaluating multiple performance parameters through numerical simulations. Using a trapezoidal prism-based biochip, we develop a weighted optimization approach that balances sensitivity (

S_{n_{s}}

) and quality factor (

Q

) across three metal films (Ag, Au, Cu) and various graphene layer configurations. The design procedure incorporates tissue-specific refractive index modeling and employs the multilayer matrix method to simulate SPR responses. Our optimization framework identifies distinct optimal configurations: 6 graphene layers for Ag (achieving 5100 nm/RIU sensitivity), 1 layer for Au (optimal

χ =

27.00 RIU⁻¹), and 8 layers for Cu (77%

Q

enhancement). The procedure reveals that while Ag offers maximum sensitivity (5200 nm/RIU for carcinoma), Au provides the best overall performance with

χ =

39.92 RIU⁻¹. This work proposes a replicable design methodology for developing SPR biosensors, demonstrating particular effectiveness for cancer detection applications while establishing general principles for performance optimization in plasmonic sensing systems.

本文提出了一种优化用于乳腺癌检测的石墨烯增强表面等离子体共振（SPR）传感器的系统设计过程。本研究通过数值模拟，通过对多个性能参数的评估，建立了一套确定传感器最优结构的综合方法。利用基于梯形棱镜的生物芯片，我们开发了一种加权优化方法，可以平衡三种金属薄膜（Ag, Au, Cu）和各种石墨烯层构型的灵敏度（Sns）和质量因子(Q)。设计过程结合了组织特异性折射率模型，并采用多层矩阵法模拟SPR响应。我们的优化框架确定了不同的最佳配置：6层石墨烯用于银（达到5100 nm/RIU灵敏度），1层用于金（最佳χ= 27.00 RIU−1），8层用于铜（77% Q增强）。该程序显示，虽然Ag提供了最高的灵敏度（5200 nm/RIU），但Au提供了最佳的总体性能，χ= 39.92 RIU−1。这项工作提出了一种可复制的设计方法，用于开发SPR生物传感器，展示了癌症检测应用的特别有效性，同时建立了等离子体传感系统性能优化的一般原则。

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引用次数: 0

Innovative approaches to HER2 detection: Biosensors in breast cancer management HER2检测的创新方法：生物传感器在乳腺癌管理中的应用

IF 4.9 Q1 CHEMISTRY, ANALYTICAL

Sensing and Bio-Sensing Research

Pub Date : 2025-12-20 DOI: 10.1016/j.sbsr.2025.100948

Babak Nejati , Sepideh Shadravan , Mohammad Mahdi Heidari , Atefe Etebari , Ahmad Mobed , Sajjad Jafarzadeh

Breast cancer is the most common malignancy among women globally, accounting for approximately 670,000 deaths in 2022. The overexpression of the HER2 protein in breast cancer has established it as a pivotal target for diagnostic and therapeutic strategies. Recent advancements in biosensor technology have significantly improved the detection, monitoring, and treatment of HER2-positive breast cancer. This review focuses on the latest innovations in biosensor design and functionality, including the use of nanomaterials, electrochemical, and optical biosensors, all tailored for the sensitive and specific detection of HER2. We explore not only recent advancements but also conventional methods such as FISH, CISH, and IHC, demonstrating how these approaches, in conjunction with biosensor technologies, facilitate real-time monitoring of treatment responses and disease progression, thereby offering personalized management strategies for patients. Additionally, we discuss the integration of biosensor technologies with microfluidics and wearable devices, highlighting their immense potential in point-of-care diagnostics. The novelty of this work lies in its comprehensive synthesis of current research, referencing articles published over the past two years, with a focus on biosensors specific to HER2 detection. This work particularly emphasizes multi-modal sensing approaches and their practical applications in clinical settings. By summarizing key findings and ongoing studies, this review aims to elucidate the transformative role of biosensors in enhancing breast cancer management and improving patient outcomes.

乳腺癌是全球妇女中最常见的恶性肿瘤，2022年约有67万人死于乳腺癌。乳腺癌中HER2蛋白的过表达使其成为诊断和治疗策略的关键靶点。最近生物传感器技术的进步显著改善了her2阳性乳腺癌的检测、监测和治疗。本文综述了生物传感器设计和功能的最新创新，包括纳米材料、电化学和光学生物传感器的使用，所有这些都是为灵敏和特异性检测HER2而量身定制的。我们不仅探讨了最近的进展，还探讨了传统的方法，如FISH、CISH和IHC，展示了这些方法如何与生物传感器技术相结合，促进治疗反应和疾病进展的实时监测，从而为患者提供个性化的管理策略。此外，我们还讨论了生物传感器技术与微流体和可穿戴设备的集成，强调了它们在即时诊断方面的巨大潜力。这项工作的新颖之处在于它全面综合了当前的研究，参考了过去两年发表的文章，重点是针对HER2检测的生物传感器。这项工作特别强调多模态传感方法及其在临床环境中的实际应用。通过总结主要发现和正在进行的研究，本综述旨在阐明生物传感器在加强乳腺癌管理和改善患者预后方面的变革作用。

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引用次数: 0

Realistic image-based simulations of multicellular systems exposed to electric fields for applications in impedance sensing and electrical stimulation 多细胞系统暴露于电场中的真实图像模拟，用于阻抗传感和电刺激

IF 4.9 Q1 CHEMISTRY, ANALYTICAL

Sensing and Bio-Sensing Research

Pub Date : 2025-12-20 DOI: 10.1016/j.sbsr.2025.100950

Julius Zimmermann , Lam Vien Che , Trevor M. Kickliter , Simon Adrian , Ursula van Rienen

Advanced microscopy techniques enable live imaging of biological processes in multicellular systems with subcellular resolution. New insights into tissue–electric field interactions are unlocked by combining microscopy with microelectrodes for impedance analysis and electrical stimulation. However, a streamlined pipeline to develop realistic numerical simulations for electric field computations from imaging data is currently lacking. We present a user-friendly, automated, and efficient solution to bridge this gap. The method relies on well-established open-source software and can be readily deployed on a high-performance computing cluster. Verification cases with known analytical solutions demonstrate the high accuracy and reliability of the method. As demonstration cases of application scenarios of our method, we show how the electric field exposure of multicellular geometries imaged by 3D fluorescence microscopy can be numerically computed. Moreover, impedance spectra and the local effect of electrical stimulation by microelectrodes are computed. Finally, sensitivities to cell state and morphology are outlined, providing a basis for the rational design of future experiments.

先进的显微镜技术使多细胞系统中生物过程的实时成像具有亚细胞分辨率。通过将显微镜与微电极相结合进行阻抗分析和电刺激，解锁了组织电场相互作用的新见解。然而，目前还缺乏一种流线型的管道来根据成像数据进行电场计算的实际数值模拟。我们提出了一个用户友好、自动化和高效的解决方案来弥合这一差距。该方法依赖于完善的开源软件，可以很容易地部署在高性能计算集群上。已知解析解的验证实例表明，该方法具有较高的准确性和可靠性。作为我们方法应用场景的演示案例，我们展示了如何通过三维荧光显微镜成像多细胞几何的电场暴露可以进行数值计算。此外，还计算了微电极电刺激的阻抗谱和局部效应。最后概述了对细胞状态和形态的敏感性，为今后实验的合理设计提供了依据。

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引用次数: 0