Sensors & diagnostics最新文献_第6页

Correction: Turn-on fluorescent sensors for Cu-rich amyloid β peptide aggregates 更正：打开荧光传感器富铜β淀粉样蛋白肽聚集体。

IF 4.1

Sensors & diagnostics Pub Date : 2025-12-09 DOI: 10.1039/D5SD90046H

Yiran Huang, Liang Sun and Liviu M. Mirica

引用次数: 0

π-Spacer modulation unlocking tunable photophysics and organelle-specificity in 2,6 disubstituted BODIPY-cyanostilbene fluorophores π-间隔调制解锁2,6二取代bodipy -氰二苯乙烯荧光团的可调光物理和细胞器特异性

IF 4.1

Sensors & diagnostics Pub Date : 2025-12-03 DOI: 10.1039/D5SD00155B

Charutha Kalarikkal, Sarbani Bhattacharjee, Koyeli Mapa and Chinna Ayya Swamy P

{"title":"π-Spacer modulation unlocking tunable photophysics and organelle-specificity in 2,6 disubstituted BODIPY-cyanostilbene fluorophores","authors":"Charutha Kalarikkal, Sarbani Bhattacharjee, Koyeli Mapa and Chinna Ayya Swamy P","doi":"10.1039/D5SD00155B","DOIUrl":"https://doi.org/10.1039/D5SD00155B","url":null,"abstract":"Simultaneous visualization of two distinct organelles using a single fluorescent probe offers powerful opportunities for unravelling cellular signalling pathways and inter-organelle interactions. However, this goal remains challenging due to the complex microenvironment of subcellular compartments and the absence of robust design principles. In this study, we designed and synthesized two new donor–acceptor (D–A) BODIPY-cyanostilbene fluorophores, functionalized at the 2,6-positions with tailored π-spacers: phenyl (compound 7) and thiophene (compound 8) units. Strategic π-spacer engineering enabled precise control over both optical behavior and organelle-targeting selectivity. The thiophene analogue (compound 8) exhibited a remarkable Stokes shift (∼112 nm) and far-red/NIR emission (600–800 nm), overcoming two key limitations of conventional BODIPYs, particularly visible-range emission (490–510 nm) that restricts deep-tissue imaging, and narrow Stokes shifts that lead to spectral overlap and self-quenching. In contrast, the phenyl analogue (compound 7) emitted at 570 nm with a moderate 35 nm Stokes shift, primarily due to the extended π-conjugation framework. The photophysical properties were supported by DFT calculations (B3LYP/6-31G(d), Gaussian 09W). Both probes showed excellent photostability, minimal cytotoxicity, high chemical and pH stability, and non-interference from competitive species, making them highly suitable for cellular studies. Interestingly, both probes achieved dual-targeting of lipid droplets (LDs) and lysosomes, enabling real-time monitoring of dynamic changes in these organelles. This work highlights π-spacer engineering as a powerful strategy to unlock far-red/NIR dual-organelle probes, paving the way for advanced organelle-targeting imaging, and early-stage disease diagnostics.","PeriodicalId":74786,"journal":{"name":"Sensors & diagnostics","volume":" 3","pages":" 337-347"},"PeriodicalIF":4.1,"publicationDate":"2025-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.rsc.org/en/content/articlepdf/2026/sd/d5sd00155b?page=search","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147558509","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Quantitative single-particle profiling of extracellular vesicles via fluorescent nanoparticle tracking analysis 通过荧光纳米颗粒跟踪分析细胞外囊泡的定量单颗粒分析

IF 4.1

Sensors & diagnostics Pub Date : 2025-12-03 DOI: 10.1039/D5SD00119F

Yiting Liu, Anthony James El-Helou, Bill Söderström, Juanfang Ruan and Ying Zhu

{"title":"Quantitative single-particle profiling of extracellular vesicles via fluorescent nanoparticle tracking analysis","authors":"Yiting Liu, Anthony James El-Helou, Bill Söderström, Juanfang Ruan and Ying Zhu","doi":"10.1039/D5SD00119F","DOIUrl":"https://doi.org/10.1039/D5SD00119F","url":null,"abstract":"Extracellular vesicles (EVs) have drawn rapidly increasing attention as the next-generation diagnostic biomarkers and therapeutic agents. However, the heterogeneous nature of EVs necessitates advanced methods for profiling EVs at the single-particle level. While nanoparticle tracking analysis (NTA) is a widely used technique for quantifying particle size and concentration, conventional scattering-based systems are non-specific. In this study, we present an optimised protocol for quantitative profiling of EVs at the single-particle level by fluorescent NTA (F-NTA). The protocol integrates fluorescent immunolabeling of EVs with size-exclusion chromatography (SEC) to efficiently remove unbound labels, enabling the precise quantification of EV concentration, size distribution, and surface immunophenotype. We first validated this approach using biotinylated liposomes and EVs from cultured human cell lines, confirming effective removal of unbound labels and assessing labelling efficiency. We then demonstrated that F-NTA can distinguish EV subpopulations with distinct surface marker expression, exemplified by the differentiation of EpCAM-positive (EpCAM+) EVs derived from HT29 and HEK293 cells. Finally, we applied dual labelling to human plasma isolates to simultaneously profile EVs and lipoproteins, providing a quantitative quality assessment of EV purity at the single-particle level. The robustness of this method was further supported by comparative analysis with total internal reflection fluorescence microscopy. This validated workflow enables robust, quantitative profiling of EV subpopulations, providing a critical tool for diverse EV applications, including biomarker discovery, therapeutic monitoring, and quality control for engineered vesicles.","PeriodicalId":74786,"journal":{"name":"Sensors & diagnostics","volume":" 3","pages":" 348-357"},"PeriodicalIF":4.1,"publicationDate":"2025-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.rsc.org/en/content/articlepdf/2026/sd/d5sd00119f?page=search","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147558510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Reproducible single-molecule optofluidic-SERS analysis on nanostar-activated diatom biosilica capsules 纳米星活化硅藻生物硅胶囊的可重复单分子光流体sers分析

IF 4.1

Sensors & diagnostics Pub Date : 2025-11-29 DOI: 10.1039/D5SD00161G

Subhavna Juneja, Sudipta Biswas, Kang Rong and Alan X. Wang

{"title":"Reproducible single-molecule optofluidic-SERS analysis on nanostar-activated diatom biosilica capsules","authors":"Subhavna Juneja, Sudipta Biswas, Kang Rong and Alan X. Wang","doi":"10.1039/D5SD00161G","DOIUrl":"https://doi.org/10.1039/D5SD00161G","url":null,"abstract":"Single-molecule (SM) analysis with surface-enhanced Raman scattering (SERS) usually requires sophisticated engineering on plasmonic nanostructures to provide extremely strong hot-spots to enhance the intrinsically weak signal. In this work, we report a cell-sized biosilica capsule based on the diatom Pinnularia sp. frustule decorated with high-density bimetallic nanostars consisting of gold and silver, capable of achieving reproducible single-molecule SERS analysis. Such a plasmonic nanostar-activated biological photonic crystal nanostructure synthesized by a simple self-assembly method enhances hot-spots universally, which is proved by finite difference time domain simulation. The cell-sized biosilica capsule also concentrates trace-levels of target molecules from ultra-small fluidic droplets through a drop-on-demand inkjet-printing technique. We experimentally demonstrated reproducible SM optofluidic-SERS sensing from 120 nL of 10−15 M rhodamine 6G solution containing only 72 molecules through statistical analysis of mapping data over the cell-sized biosilica capsule, achieving a 3× higher signal-to-noise ratio and 9× better SM detection possibility compared to that on the glass substrate.","PeriodicalId":74786,"journal":{"name":"Sensors & diagnostics","volume":" 2","pages":" 248-259"},"PeriodicalIF":4.1,"publicationDate":"2025-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.rsc.org/en/content/articlepdf/2026/sd/d5sd00161g?page=search","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146216731","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fluorogenic squaraine dimers for the flow cytometry detection of bacterial urinary tract infections 用流式细胞术检测尿路细菌感染的荧光性方碱二聚体

IF 4.1

Sensors & diagnostics Pub Date : 2025-11-28 DOI: 10.1039/D5SD00160A

Lucille Weiss, Martijn Visser, Patrick Wagner, Anthony Augé, Océane Florès, Nicola Pordone, Martin Fayolle, Paul O. Verhoeven, Dmytro Dziuba, Dominique Bonnet and Julie Karpenko

引用次数: 0

Vibration technology-based droplet microfluidic devices for biomedical applications 基于振动技术的生物医学微流控液滴装置

IF 4.1

Sensors & diagnostics Pub Date : 2025-11-24 DOI: 10.1039/D5SD00163C

Peng Yin, Yanna Lin, Maojie Jiang, Xiangyu Jiang, Xuan Fang, Mengjie Huang, Baihui Zhang and Fuqiang Ma

{"title":"Vibration technology-based droplet microfluidic devices for biomedical applications","authors":"Peng Yin, Yanna Lin, Maojie Jiang, Xiangyu Jiang, Xuan Fang, Mengjie Huang, Baihui Zhang and Fuqiang Ma","doi":"10.1039/D5SD00163C","DOIUrl":"https://doi.org/10.1039/D5SD00163C","url":null,"abstract":"Droplet microfluidics has emerged as a versatile and powerful strategy for precise fluid manipulation at the micro- and nano-scales, with widespread applications in biomedical detection, diagnosis, and treatment. Among active control techniques, vibration-based methods are distinguished by their high precision, exceptional biocompatibility, and non-contact nature, which collectively reduce the risk of cross-infection and sample contamination. This review provides a concise summary of the fundamental principles, technological advancements, and representative biomedical applications of vibration-induced droplet manipulation. This work highlights both acoustic methods and other mechanical vibration strategies, including their distinct working mechanisms and potential for integration with other active control methods to enhance flexibility. It explores the extensive range of vibration strategies' applications in biomedicine, including the use as drivers for diverse sample pretreatment processes (cell manipulation, sorting, cultivation, and activity research), biosensors for detecting and diagnosing various biological targets, and post-diagnostic drug treatment studies. Despite their promise, current challenges remain, including equipment complexity, scalability, and the need for robust integration with existing microfluidic systems. Lastly, this review outlines future directions for advancing vibration-based droplet microfluidics, which include the development of new materials, the integration of interdisciplinary technologies, and intelligent control. These initiatives will facilitate the development of integrated devices for rapid disease diagnostics and medical research applications.","PeriodicalId":74786,"journal":{"name":"Sensors & diagnostics","volume":" 3","pages":" 270-304"},"PeriodicalIF":4.1,"publicationDate":"2025-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.rsc.org/en/content/articlepdf/2026/sd/d5sd00163c?page=search","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147558506","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Adenosine detection technologies: recent advances and applications in the central nervous system 腺苷检测技术：最新进展及其在中枢神经系统中的应用

IF 4.1

Sensors & diagnostics Pub Date : 2025-11-19 DOI: 10.1039/D5SD00170F

Yuqin Liao, Jiayuan Jing, Wenkai Jin, Xiangdong Tian, Tianhuan Peng, Lei Zhang and Quan Yuan

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A nucleic acid-based electrochemical detection method for post hoc sample analysis 一种用于样品事后分析的基于核酸的电化学检测方法。

IF 4.1

Sensors & diagnostics Pub Date : 2025-11-17 DOI: 10.1039/D5SD00164A

Logan T. Echeveria, Sadi Shahriar, Allison M. Yorita and Erkin Seker

引用次数: 0

Artificial intelligence-powered signal analysis of loop-mediated isothermal amplification (LAMP) for the screening of Kaposi sarcoma at the point of care 人工智能驱动的环介导等温扩增（LAMP）信号分析在护理点筛查卡波西肉瘤。

IF 4.1

Sensors & diagnostics Pub Date : 2025-11-11 DOI: 10.1039/D5SD00068H

Darke Hull, Juan Boza, Jason Manning, Xinying Chu, Ethel Cesarman, Aggrey Semeere, Jeffrey Martin and David Erickson

{"title":"Artificial intelligence-powered signal analysis of loop-mediated isothermal amplification (LAMP) for the screening of Kaposi sarcoma at the point of care","authors":"Darke Hull, Juan Boza, Jason Manning, Xinying Chu, Ethel Cesarman, Aggrey Semeere, Jeffrey Martin and David Erickson","doi":"10.1039/D5SD00068H","DOIUrl":"10.1039/D5SD00068H","url":null,"abstract":"Unlike the polymerase chain reaction (PCR), loop-mediated isothermal amplification (LAMP) lacks a consistent thermal cycle, making quantification particularly challenging. Previously, we demonstrated that LAMP can accurately diagnose Kaposi sarcoma (KS) from skin lesion biopsies at the point of care (receiver operating characteristic area under the curve (AUC) = 0.967). A common approach in LAMP analysis involves setting a minimum absorbance threshold and time cutoff for positivity, which can introduce bias. We present a less biased, automated signal processing approach involving the fitting of a signal curve to five, two-parameter algebraic function fits, and the training of an artificial intelligence (AI) model on those parameters and their variances. An extreme gradient boosting (XGB) model was trained and tested on a primary dataset consisting of 1317 LAMP curves (from 451 unique patient samples with replicates). Five-fold k-validation on the train/test set yielded an receiver operating curve (ROC) area under the curve (AUC) of 0.952 ± 0.029. Each of the five-fold models were then validated on a separate secondary dataset of 966 LAMP curves (from 414 unique patient samples with replicates) and achieved an AUC of 0.950 ± 0.005. While the traditional methodology (which did not implement k-validation or a test/train split) outperformed the AI model's train/test set performance, the AI model generalized better and achieved a higher accuracy on the validation set (0.950 ± 0.005 vs. 0.9347). It performed even better when the analysis was applied directly to the raw signal data without additional pre-processing steps such as artifact filtering. This suggests that the AI model is more generalizable to new data and is able to discriminate KS-present and KS-absent samples better than traditional methods.","PeriodicalId":74786,"journal":{"name":"Sensors & diagnostics","volume":" 2","pages":" 242-247"},"PeriodicalIF":4.1,"publicationDate":"2025-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12661922/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145650180","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhancing wearable piezoelectric sensors via micro-textured P(VDF–TrFE)/BaTiO3 nanofiber mats for physiological monitoring 微织构P(VDF-TrFE)/BaTiO3纳米纤维垫增强可穿戴压电传感器生理监测

IF 4.1

Sensors & diagnostics Pub Date : 2025-11-11 DOI: 10.1039/D5SD00175G

Yan Xu, Shiman Yang, Cheng Liu, Haoyu Wu, Kaiping Huang, Wenhui Xu, Jiahe Wang and Yichun Ding

{"title":"Enhancing wearable piezoelectric sensors via micro-textured P(VDF–TrFE)/BaTiO3 nanofiber mats for physiological monitoring","authors":"Yan Xu, Shiman Yang, Cheng Liu, Haoyu Wu, Kaiping Huang, Wenhui Xu, Jiahe Wang and Yichun Ding","doi":"10.1039/D5SD00175G","DOIUrl":"https://doi.org/10.1039/D5SD00175G","url":null,"abstract":"The advancement of wearable electronics for personalized healthcare demands flexible, high-performance pressure sensors capable of detecting both subtle physiological signals and large mechanical motions. In this work, we present a highly sensitive piezoelectric pressure sensor based on a micro-textured PVDF–TrFE/BaTiO3 composite nanofiber mat, fabricated via a facile electrospinning process. A commercial paper napkin was employed as a template collector to directly imprint a micro-structured architecture onto the nanofiber mat, eliminating the need for complex processes. The addition of BaTiO3 (BTO) nanoparticles significantly enhanced the piezoelectric response. The optimized piezoelectric sensor demonstrated outstanding performance with a sensitivity of ∼197 mV kPa−1, a fast response time of 3.5 ms, excellent frequency stability, and durability over 5000 loading cycles. Practical applicability was successfully verified through real-time monitoring of diverse physiological activities including arterial pulse, respiration, vocal vibrations, eye blinking, joint motion, and plantar pressure detection. These results underscore the potential of our sensor for use in wearable health monitoring, sports biomechanics, and human–machine interfaces, offering a scalable and cost-effective route to high-performance pressure sensing.","PeriodicalId":74786,"journal":{"name":"Sensors & diagnostics","volume":" 2","pages":" 223-231"},"PeriodicalIF":4.1,"publicationDate":"2025-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.rsc.org/en/content/articlepdf/2026/sd/d5sd00175g?page=search","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146216730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0