Biosensors and Bioelectronics: X最新文献_第10页

Imatinib detection by memristive biosensors for therapeutic drug monitoring 记忆体生物传感器检测伊马替尼用于治疗药物监测

IF 10.61 Q3 Biochemistry, Genetics and Molecular Biology

Biosensors and Bioelectronics: X

Pub Date : 2025-04-11 DOI: 10.1016/j.biosx.2025.100620

Junrui Chen , Lavinia Alberi , Yuan Pétermann , Thierry Buclin , Monia Guidi , Sandro Carrara

Therapeutic drug monitoring is essential for optimizing the efficacy and safety of targeted anticancer agents like imatinib, a first-line treatment for various leukemias and gastrointestinal stromal tumors. This study introduces a novel memristive biosensor designed for the detection of imatinib. The biosensor employs a silicon nanowire (SiNW) -based memristive architecture integrated with a single-stranded DNA (ssDNA) aptamer as the bio-recognition element. The detection of imatinib concentration is successfully demonstrated in both buffer and human plasma. Kinetic analysis reveals that the analysis time for achieving binding equilibrium and measurement is within 10 min. Comprehensive linear response over Imatinib concentrations in human plasma ranging from 0.2 μM to 20 μM was achieved, with a detection limit of 0.13 μM. While the interfering proteins such as human serum albumin (HSA) and α1-acid glycoprotein (AGP) compete with the binding mechanism, resulting in a decreased measured signal at lower concentrations of imatinib, their excessive presence paradoxically amplifies the measured signal. This amplification, however, also introduces increased variability in plasma measurements. This innovative memristive biosensor represents a significant advancement towards point-of-care therapeutic drug monitoring. It offers a robust and scalable platform, paving the way for the integration of personalized medicine into routine clinical workflows for imatinib-based therapies.

治疗药物监测对于优化伊马替尼等靶向抗癌药物的疗效和安全性至关重要，伊马替尼是各种白血病和胃肠道间质肿瘤的一线治疗药物。本研究介绍了一种用于检测伊马替尼的新型记忆体生物传感器。该生物传感器采用基于硅纳米线（SiNW）的忆阻结构，集成单链DNA （ssDNA）适体作为生物识别元件。在缓冲液和人血浆中成功地检测了伊马替尼的浓度。动力学分析表明，该方法可在10 min内实现结合平衡和测量，对人血浆中伊马替尼浓度在0.2 μM ~ 20 μM范围内实现全面线性响应，检出限为0.13 μM。虽然干扰蛋白如人血清白蛋白（HSA）和α1-酸性糖蛋白（AGP）与结合机制竞争，导致在低浓度伊马替尼下测量信号减弱，但它们的过量存在却矛盾地放大了测量信号。然而，这种放大也增加了等离子体测量的可变性。这种创新的记忆体生物传感器代表了护理点治疗药物监测的重大进步。它提供了一个强大且可扩展的平台，为将个性化医疗整合到伊马替尼治疗的常规临床工作流程中铺平了道路。

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引用次数: 0

Ionic Cell Microscopy: A new modality for visualizing cells using microfluidic impedance cytometry and generative artificial intelligence 离子细胞显微镜：一种利用微流控阻抗细胞术和生成式人工智能观察细胞的新方法

IF 10.61 Q3 Biochemistry, Genetics and Molecular Biology

Biosensors and Bioelectronics: X

Pub Date : 2025-04-05 DOI: 10.1016/j.biosx.2025.100619

Mahtab Kokabi , Gulam M. Rather , Mehdi Javanmard

This study introduces a novel approach to cancer cell imaging by integrating microfluidic sensor technology with artificial intelligence (AI). We developed a custom microfluidic device with polydimethylsiloxane (PDMS) microchannels and integrated electrodes to capture electrical impedance data. The device was fabricated using photolithography, electron beam evaporation, and lift-off techniques. Instead of traditional imaging methods, electrical impedance signals were used to reconstruct cell images. A generative AI model with eight hidden layers processed 191 impedance values to accurately reconstruct the shapes of cancer cells and control beads. Our approach successfully reconstructed images of MDA-MB-231 breast cancer cells, HeLa cells, and beads, achieving 91 % accuracy on the test dataset. Validation using the Structural Similarity Index (SSI) and Mean Structural Similarity Index (MSSIM) produced scores of 0.97 for breast cancer cells and 0.93 for beads, confirming the high precision of this method. This label-free, impedance-based imaging offers a promising solution for cancer diagnostics by accurately reconstructing cell shapes and distinguishing cell types, particularly in point-of-care applications.

本研究将微流体传感器技术与人工智能（AI）相结合，提出了一种新的癌细胞成像方法。我们开发了一种定制的微流控装置，该装置具有聚二甲基硅氧烷（PDMS）微通道和集成电极，用于捕获电阻抗数据。该装置采用光刻、电子束蒸发和发射技术制造。利用电阻抗信号代替传统的成像方法重建细胞图像。一个具有8个隐藏层的生成式AI模型处理了191个阻抗值，以准确地重建癌细胞和控制珠的形状。我们的方法成功地重建了MDA-MB-231乳腺癌细胞、HeLa细胞和微珠的图像，在测试数据集上达到了91%的准确率。使用结构相似指数（SSI）和平均结构相似指数（MSSIM）进行验证，乳腺癌细胞的得分为0.97，珠细胞的得分为0.93，证实了该方法的高精度。这种无标签、基于阻抗的成像技术通过精确重建细胞形状和区分细胞类型，为癌症诊断提供了一种很有前途的解决方案，特别是在即时护理应用中。

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引用次数: 0

Longitudinal tracking of chronic inflammation through Calprotectin and Interleukin-6 using a sweat wearable device 使用汗液可穿戴设备通过钙护蛋白和白细胞介素-6纵向跟踪慢性炎症

IF 10.61 Q3 Biochemistry, Genetics and Molecular Biology

Biosensors and Bioelectronics: X

Pub Date : 2025-04-05 DOI: 10.1016/j.biosx.2025.100622

Sarah Shahub , Annapoorna Ramasubramanya , Preeti Singh , Ruchita Mahesh Kumar , Kai-Chun Lin , Sriram Muthukumar , Shalini Prasad

This work demonstrates a continuous, noninvasive two-plex electrochemical biosensor for the measurement of inflammation in sweat via disease-specific and general markers Calprotectin and Interleukin-6 (IL-6), respectively. Sensor functionalization and sensor stability was characterized through Fourier Transform Infrared (FTIR) spectroscopy. Sensor stability was characterized through open circuit potential and electrochemical impedance spectroscopy (EIS). On-body stability was demonstrated through relative humidity and temperature measurements of the sensor-skin interface.

Calprotectin and IL-6 were measured in sweat over 2 days from 2 chronically inflamed subjects and 10 healthy subjects to characterize dual sweat expression of the markers and investigate diurnal patterns of expression across the two groups. Sweat Calprotectin was continuously tracked over a 40-h period for chronically inflamed and healthy subjects with different inflammatory activity and treatments. Sensor measurements were recorded continuously with a sampling rate of 1–1.5 min.

Significantly higher sweat Calprotectin and higher median sweat Calprotectin expression was observed in the morning-afternoon than in the evening among inflamed and healthy subjects, respectively. Higher median sweat IL-6 was observed in inflamed individuals in the morning-afternoon, while higher median sweat IL-6 was observed in healthy individuals in the evening. Temporal results of sweat Calprotectin tracking demonstrate higher basal Calprotectin in an unmedicated over a medicated inflamed subject, and higher basal Calprotectin of inflamed subjects over a healthy subject.

Calprotectin and IL-6 demonstrated a strong positive linear relationship in sweat. Diurnal patterns were observed in the sweat of inflamed and healthy individuals, and continuous tracking of disease-specific inflammation through sweat Calprotectin was demonstrated.

这项工作展示了一种连续的、无创的双路电化学生物传感器，分别通过疾病特异性和一般标记物钙保护蛋白和白细胞介素-6 （IL-6）来测量汗液中的炎症。利用傅里叶红外光谱（FTIR）表征了传感器的功能化和稳定性。通过开路电位和电化学阻抗谱（EIS）表征了传感器的稳定性。通过传感器-皮肤界面的相对湿度和温度测量证明了身体稳定性。研究人员在2天内测量了2名慢性炎症受试者和10名健康受试者的汗液中钙保护蛋白和IL-6的含量，以表征这两种标志物的双汗液表达，并研究两组之间的日表达模式。采用不同的炎症活动和治疗方法，对慢性炎症和健康受试者的汗液钙护蛋白进行了40小时的连续追踪。传感器测量以1-1.5分钟的采样率连续记录。在炎症和健康受试者中，上午至下午的汗液钙保护蛋白和汗液钙保护蛋白的中位数表达量分别高于晚上。炎症个体在上午至下午的汗液中IL-6值较高，而健康个体在晚上的汗液中IL-6值较高。汗液钙保护蛋白追踪的时间结果显示，未服药的炎症受试者的基础钙保护蛋白高于服药的炎症受试者，炎症受试者的基础钙保护蛋白高于健康受试者。钙保护蛋白和IL-6在汗液中表现出强烈的正线性关系。在炎症和健康个体的汗液中观察到昼夜模式，并通过汗液钙护蛋白连续跟踪疾病特异性炎症。

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引用次数: 0

Corrigendum to “Cereals as sources of lysine in the reformulation of meat products. Evaluation using a biosensor” [Biosens. Bioelectron. : X (2025) 23 100592] “谷物作为肉类产品重新配方中赖氨酸的来源”的更正。使用生物传感器进行评估”[Biosens。Bioelectron。[x (2025) 23 100592]

IF 10.61 Q3 Biochemistry, Genetics and Molecular Biology

Biosensors and Bioelectronics: X

Pub Date : 2025-03-30 DOI: 10.1016/j.biosx.2025.100618

Erika Alvarez Cañarte , Guilber Vergara Velez , Frank Guillermo Intriago Flor , Efrain Pérez Vega , Miguel Andrès Falconi Vèlez , Delia Noriega Verdugo , Génesis Pamela García García , Livis Sharith Díaz Alarcón , Andrés Miguel Anchundia Loor , Carlos Jadán-Piedra , Felipe Jadán Piedra

引用次数: 0

Enhanced cardiovascular diagnostics using wearable ECG and bioimpedance monitoring with LightGBM classifier 增强心血管诊断使用可穿戴心电图和生物阻抗监测与LightGBM分类器

IF 10.61 Q3 Biochemistry, Genetics and Molecular Biology

Biosensors and Bioelectronics: X

Pub Date : 2025-03-26 DOI: 10.1016/j.biosx.2025.100617

Prince Jain , Ramji Gupta , Anand Joshi , Andrey Kuzmin

Cardiovascular diseases (CVDs) are the leading cause of death worldwide, necessitating advanced diagnostic and monitoring tools. Traditional methods of cardiac monitoring face challenges such as limited availability, high costs, and continuous physician oversight. Recent advancements in mobile health (mHealth) technologies, including wearable devices and mobile applications, offer promising solutions for continuous and real-time monitoring of vital signs such as ECG, bioimpedance, and physical activity. This study focuses on integrating these monitoring modalities to enhance the accuracy and reliability of cardiovascular diagnostics. Specifically, we explore the use of the MAX30001 device for precise ECG and bioimpedance measurements in wearable applications. Machine learning techniques, particularly LightGBM, are employed to classify cardiac conditions based on the collected data. The LightGBM classifier achieved a test set accuracy of 94.49 %, with precision, recall, and F1-scores above 0.95 for all classes. The model's performance was further validated through cross-validation (CV), yielding a 5-fold CV accuracy of 95.86 % and a 10-fold CV accuracy of 96.16 %. The ROC curve analysis showed excellent discriminatory ability with AUC values close to 1. These findings highlight the potential applications of advanced mHealth solutions in providing continuous, accurate, and real-time monitoring of cardiovascular health, which can lead to better patient management and outcomes through timely and informed interventions.

心血管疾病（cvd）是世界范围内的主要死亡原因，需要先进的诊断和监测工具。传统的心脏监测方法面临着诸如有限的可用性、高成本和持续的医生监督等挑战。移动医疗（mHealth）技术的最新进展，包括可穿戴设备和移动应用程序，为持续实时监测心电图、生物阻抗和身体活动等生命体征提供了有前途的解决方案。本研究的重点是整合这些监测模式，以提高心血管诊断的准确性和可靠性。具体来说，我们探索了MAX30001设备在可穿戴应用中用于精确ECG和生物阻抗测量的使用。机器学习技术，特别是LightGBM，被用于根据收集的数据对心脏病进行分类。LightGBM分类器达到了94.49%的测试集准确率，所有类别的准确率、召回率和f1分数都在0.95以上。通过交叉验证（CV）进一步验证了模型的性能，得到5倍CV准确率为95.86%，10倍CV准确率为96.16%。ROC曲线分析显示，该方法鉴别能力较好，AUC值接近1。这些发现突出了先进的移动医疗解决方案在提供心血管健康的连续、准确和实时监测方面的潜在应用，这可以通过及时和知情的干预措施改善患者管理和结果。

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引用次数: 0

Innovative Ag@Au nanozyme-enhanced organic photoelectrochemical transistor for ultrasensitive ochratoxin A detection 创新Ag@Au纳米酶增强有机光电化学晶体管用于超灵敏赭曲霉毒素A检测

IF 10.61 Q3 Biochemistry, Genetics and Molecular Biology

Biosensors and Bioelectronics: X

Pub Date : 2025-03-21 DOI: 10.1016/j.biosx.2025.100612

Shusheng Wei, Yuchen Shen, zhanpeng Zhang, Juan Wang

Organic bioelectronic devices are developing as adaptable platforms for advanced biosensing applications, such as wearable sensors, neural interfaces and tissue engineering, due to their remarkable flexibility, mobility, ease of manufacture, and biocompatibility. The article presents a unique organic photoelectrochemical transistor (OPECT) sensor, combined with an Ag@Au nanozyme-mediated catalytic precipitation mechanism, creating an ultrasensitive detection platform for Ochratoxin A (OTA). The ZnO/ZnFe₂O₄ heterostructure is established as a novel gating module. The ZnFe₂O₄ layer may boost electrolyte interaction and light accessibility to the ZnO nanoarray, thereby modulating the response of the polymeric poly (3,4-ethylenedioxythiophene):poly(styrene sulfonate) (PEDOT:PSS) channel, which can be monitored through the channel current. In conjunction with aptamer sensing, the Ag@Au nanozyme, exhibiting peroxidase-mimicking activity, catalyzes the oxidation of 4-chloro-1-naphthol (4-CN), leading to the formation of an insoluble precipitate on the gate electrode surface, which diminishes the photocurrent and modifies the transistor response. The OPECT sensor demonstrates outstanding analytical capabilities for OTA, featuring a wide dynamic range from 10⁻⁵ ng/mL to 10 ng/mL and a detection limit of 0.0206 pg/mL. The advancement of this OPECT sensor offers potential for employing organic photoelectrochemical transistors as a high-performance platform for OTA detection.

有机生物电子器件由于其卓越的灵活性、移动性、易于制造和生物相容性，正在发展成为先进生物传感应用的适应性平台，如可穿戴传感器、神经接口和组织工程。本文提出了一种独特的有机光电电化学晶体管（OPECT）传感器，结合Ag@Au纳米酶介导的催化沉淀机制，建立了赭曲霉毒素a （OTA）的超灵敏检测平台。建立了ZnO/ZnFe2O4异质结构作为一种新型的门控模块。ZnFe2O4层可以增强电解质相互作用和ZnO纳米阵列的光可及性，从而调节聚合物聚（3,4-乙烯二氧噻吩）：聚（苯乙烯磺酸盐）（PEDOT:PSS）通道的响应，这可以通过通道电流来监测。与适体感应相结合，Ag@Au纳米酶表现出模仿过氧化物酶的活性，催化4-氯-1-萘酚（4-CN）的氧化，导致在栅极表面形成不溶性沉淀物，从而减少光电流并改变晶体管响应。OPECT传感器具有出色的OTA分析能力，具有10 - 5 ng/mL至10 ng/mL的宽动态范围，检测限为0.0206 pg/mL。这种OPECT传感器的进步为采用有机光电电化学晶体管作为OTA检测的高性能平台提供了潜力。

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引用次数: 0

High-throughput and label-free screening of red blood cell stiffness: A study of sickle cell disease 红细胞硬度的高通量和无标记筛选：镰状细胞病的研究

IF 10.61 Q3 Biochemistry, Genetics and Molecular Biology

Biosensors and Bioelectronics: X

Pub Date : 2025-03-20 DOI: 10.1016/j.biosx.2025.100616

Saurabh Kaushik , Arkabrata Mishra , Roshan Ross , Sweta Srivastava , Cecil R. Ross , Gautam V. Soni

Understanding the morphological and mechanical changes in cells are important for diagnostic and treatment methods in various diseases. In sickle cell disease (SCD), the mutated hemoglobin (HbS) aggregates inside the red blood cells (RBCs), making them rigid and, in extreme cases, sickle-shaped, resulting in anemia, episodes of pain, and multiple organ damage. Existing techniques are too costly and insensitive since the effect of the HbS gene (heterozygous and homozygous) is variable both in prevalence and clinical manifestations. In this work, we present a label-free, cost-effective, high-throughput electro-fluidic technique to study changes in the mechanical and morphological characteristics of RBCs. We validate our device by quantitatively comparing the mechanical properties of RBCs as a function of stiffness-altering drug (Latrunculin-A) with measurements using AFM. We demonstrate the on-site application of our system by screening SCD patients based on their RBC stiffness changes. The signatures of patient-specific heterogeneity in the RBC mechanical properties may help in monitoring clinical variability and identification of high-risk patients along with targeted therapies. The versatility of our measurements opens the whole cell stiffness as a preliminary screening biomarker in other haematological conditions, tumor cell identification, in veterinary sciences as well as in evaluating hydrogel technologies.

了解细胞的形态和力学变化对各种疾病的诊断和治疗方法具有重要意义。在镰状细胞病（SCD）中，突变的血红蛋白（HbS）聚集在红细胞（rbc）内，使它们变得坚硬，在极端情况下，呈镰状，导致贫血、疼痛发作和多器官损伤。由于HbS基因（杂合子和纯合子）的影响在患病率和临床表现上都是可变的，现有的技术过于昂贵且不敏感。在这项工作中，我们提出了一种无标签、低成本、高通量的电流体技术来研究红细胞的力学和形态特征的变化。我们通过定量比较红细胞的力学特性作为刚度改变药物（Latrunculin-A）的函数与使用AFM测量来验证我们的设备。我们通过筛选SCD患者的RBC硬度变化来展示我们的系统的现场应用。红细胞力学特性的患者特异性异质性特征可能有助于监测临床变异性和识别高风险患者以及靶向治疗。我们测量的多功能性打开了整个细胞刚度作为其他血液学条件，肿瘤细胞鉴定，兽医科学以及评估水凝胶技术的初步筛选生物标志物。

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引用次数: 0

2D nanomaterials in biosensing: Synthesis, characterization, integration in biosensors and their applications 生物传感中的二维纳米材料：生物传感器的合成、表征、集成及其应用

IF 10.61 Q3 Biochemistry, Genetics and Molecular Biology

Biosensors and Bioelectronics: X

Pub Date : 2025-03-20 DOI: 10.1016/j.biosx.2025.100615

Desmond Lutomia , Renu Poria , Deepak Kala , Preeti Garg , Rupak Nagraik , Ankur Kaushal , Shagun Gupta , Deepak Kumar

Recent advances in the synthesis of functional nanomaterials and precisely engineered nanostructures have opened up new avenues for the fabrication of viable biosensors for field analysis. Two-dimensional (2D) nanomaterials provide unique hierarchical structures, high surface area, and layered configurations with multiple length scales and porosity, and the possibility to create functionalities for targeted recognition at their surface. In addition to providing extra features like structural color, ordered morphological features, and the capacity to detect and react to external stimuli, such hierarchical structures provide opportunities to tune the characteristics of materials. Combining these distinctive qualities of the various nanostructure types and using them as a foundation for bimolecular assemblies can yield biosensing platforms with enhanced robustness, sensitivity, and selectivity for the detection of a wide range of analytes, as well as targeted recognition and transduction properties that can have a positive impact on numerous fields. This review describes the classification, synthesis and characterization of 2D nanomaterials and their functionalization. In addition, the merits of the 2D nanomaterials and their applications in health, environmental monitoring and food safety and control are covered. The final part anticipates the advancement of 2D nanomaterials in biosensors, challenges and future directions of 2D nanomaterials in biosensors.

功能纳米材料的合成和精确工程纳米结构的最新进展为制造可行的现场分析生物传感器开辟了新的途径。二维（2D）纳米材料提供了独特的分层结构、高表面积和具有多种长度尺度和孔隙度的分层配置，并有可能在其表面创建目标识别功能。除了提供额外的功能，如结构颜色，有序的形态特征，以及检测和响应外部刺激的能力外，这种分层结构还提供了调整材料特性的机会。结合不同纳米结构类型的这些独特品质，并将其作为双分子组装的基础，可以产生具有增强鲁棒性，灵敏度和选择性的生物传感平台，用于检测广泛的分析物，以及可在许多领域产生积极影响的靶向识别和转导特性。本文综述了二维纳米材料的分类、合成、表征及其功能化。此外，还介绍了二维纳米材料的优点及其在健康、环境监测和食品安全与控制方面的应用。最后对二维纳米材料在生物传感器领域的研究进展、面临的挑战和未来发展方向进行了展望。

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引用次数: 0

An innovative and mass-sensitive quartz tuning fork (QTF) biosensor for GFAP detection: A novel approach for traumatic brain injury diagnosis 用于GFAP检测的创新性质量敏感石英音叉（QTF）生物传感器：一种创伤性脑损伤诊断的新方法

IF 10.61 Q3 Biochemistry, Genetics and Molecular Biology

Biosensors and Bioelectronics: X

Pub Date : 2025-03-18 DOI: 10.1016/j.biosx.2025.100614

Burcu Özcan , İnci Uludağ Anıl , Mehmet Altay Ünal , Fikret Arı , Mustafa Kemal Sezgintürk , Sibel Ayşıl Özkan

The early diagnosis and management of traumatic brain injury (TBI) are dependent upon the early and precise detection of glial fibrillary acidic protein (GFAP). In this investigation, a novel biosensor based on quartz tuning forks (QTF) was introduced and functionalized with 11-mercaptoundecanoic acid (11-MUA). This biosensor is designed to facilitate the highly sensitive and selective detection of GFAP in human serum. In contrast to conventional neuroimaging methods, which are resource-intensive and frequently inaccessible in emergency situations, this innovative biosensor offers a portable, cost-effective, and efficient alternative for rapid GFAP measurement. The detection range of the system is 0.05 fg mL⁻¹ to 25 fg mL⁻¹. The Atomic Force Microscopy (AFM) was utilized to visualize the morphology of the QTF surface during the immobilization steps of the sensor. The developed biosensor presented advantages such as ability to determine GFAP concentrations at femtogram level, reproducibility and repeatability (standard deviation: ±0.0935966 Hz, and coefficient of variation: 7.91 %). This study highlights a significant progression in biosensing technology, providing an exceptionally sensitive and scalable platform for diagnosing neurological disorders, with potential uses in point-of-care environments.

创伤性脑损伤（TBI）的早期诊断和治疗依赖于胶质原纤维酸性蛋白（GFAP）的早期准确检测。本文介绍了一种基于石英音叉（QTF）的新型生物传感器，并采用11-巯基十四酸（11-MUA）进行了功能化。该生物传感器设计用于促进高灵敏度和选择性地检测人血清中的GFAP。传统的神经成像方法是资源密集型的，在紧急情况下经常无法使用，与之相反，这种创新的生物传感器为快速测量GFAP提供了一种便携式、经济高效的替代方案。系统检测范围为0.05 fg mL−1 ~ 25 fg mL−1。利用原子力显微镜（AFM）观察传感器固定过程中QTF表面的形貌。所研制的生物传感器具有飞图水平测定GFAP浓度、重现性和可重复性（标准偏差：±0.0935966 Hz，变异系数：7.91%）等优点。这项研究强调了生物传感技术的重大进展，为诊断神经系统疾病提供了一个异常敏感和可扩展的平台，在护理点环境中具有潜在的用途。

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引用次数: 0

Real-time monitoring of ssDNA binding using a fiber optic LSPR microfluidic platform 利用光纤LSPR微流控平台实时监测ssDNA结合

IF 10.61 Q3 Biochemistry, Genetics and Molecular Biology

Biosensors and Bioelectronics: X

Pub Date : 2025-03-18 DOI: 10.1016/j.biosx.2025.100613

Vivek Semwal , Asbjørn Meldgaard Moltke , Ole Bang , Jakob Janting

In this paper, we present the development of a localized surface plasmon resonance (LSPR) sensor for the detection of single-stranded DNA (ssDNA). The LSPR chip was fabricated using gold nanoparticles (AuNPs) with a diameter of 80 nm. It was integrated with a microfluidic chamber to ensure stable measurements. We employed data processing techniques to fit the absorbance curve and extract the resonance wavelength, significantly reducing noise and achieving a 100-fold improvement in signal quality. The fabricated LSPR chips demonstrated a bulk refractive index sensitivity of approximately 85–90 nm/RIU. This paper outlines a robust methodology for reliable LSPR measurements based on cheap and readily accessible instruments. We have shown successfully real-time binding between Poly(T₂₀) and Poly(A₂₀), sensitive down to a concentration of 2 nM, while maintaining signal fluctuations 10 times lower than the shift in resonance wavelength without using any complex signal amplification technique. The sensor exhibits a limit of detection (LOD) of 0.75 nM. The proposed method shows potential for high-sensitivity and reliable real-time detection of smaller biomolecules, environmental pollutants, foodborne pathogens, toxins, and disease biomarkers.

本文介绍了一种用于单链DNA检测的局部表面等离子体共振（LSPR）传感器的研制。LSPR芯片采用直径为80 nm的金纳米颗粒（AuNPs）制备。它集成了一个微流控室，以确保稳定的测量。我们采用数据处理技术拟合吸光度曲线并提取共振波长，显著降低了噪声，使信号质量提高了100倍。所制备的LSPR芯片的整体折射率灵敏度约为85 ~ 90 nm/RIU。本文概述了一种可靠的基于廉价和容易获得的仪器的LSPR测量方法。我们已经成功地展示了Poly（T20）和Poly（A20）之间的实时结合，灵敏度低至2 nM的浓度，同时保持信号波动比共振波长的位移低10倍，而无需使用任何复杂的信号放大技术。该传感器的检测限（LOD）为0.75 nM。该方法显示出高灵敏度和可靠的实时检测小生物分子、环境污染物、食源性病原体、毒素和疾病生物标志物的潜力。

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引用次数: 0