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Copper selenide nanomaterial mediated light-driven RPA-SDA cascade amplification combined with photothermal test strips for methicillin-resistance gene mecA detection 硒化铜纳米材料介导的RPA-SDA级联扩增联合光热试纸条检测甲氧西林耐药基因mecA
IF 10.5 1区 生物学 Q1 BIOPHYSICS Pub Date : 2026-01-05 DOI: 10.1016/j.bios.2026.118373
Yi-Lin Ye , Yi Zhang , Jing Cao , Jie Zhou , Liu-Feng Yu , Li-Xia Yan , Yong-Wei Feng , Xiao-Dong Huang
The rapid and sensitive on-site detection of the methicillin resistance gene (mecA) is crucial for monitoring antimicrobial resistance in dairy products. Herein, we developed a novel, fully integrated detection platform by coupling light-driven (LD) recombinase polymerase amplification (RPA) with strand displacement amplification (SDA) and a photothermal lateral flow test strip (LFTS), mediated by copper selenide (CS) nanomaterials. This cascade system leverages the excellent photothermal conversion property of CS, which under 808 nm laser irradiation provide localized heating to drive both RPA and SDA isothermally, eliminating the need for conventional temperature control equipment. The dual-amplification strategy significantly enhanced sensitivity, with the LD system achieving a 1.9-fold higher efficiency than water-bathed amplification within 30 min. Amplicons were quantitatively detected using a gold-modified CS-based photothermal LFTS, where captured nanoparticles generated a measurable temperature increase (ΔT). The assay demonstrated a wide linear range from 3.9 to 3.9 × 106 copies/μL with a limit of detection of 0.43 copies/μL, exhibited high specificity against non-target antibiotic resistance genes (sul1, sul2, nuc), and showed good storage stability. When applied to spiked raw milk samples, recovery rates ranged from 84.7% to 112.3%, correlating well with qPCR results. The entire workflow from amplification to readout was completed within 35 min in a closed-tube format, offering a powerful, rapid, and equipment-free strategy for on-site monitoring of drug-resistant genes in complex food matrices.
快速、灵敏的现场检测甲氧西林耐药基因(mecA)是监测乳制品抗微生物药物耐药性的关键。在此,我们开发了一个全新的,完全集成的检测平台,通过耦合光驱动(LD)重组酶聚合酶扩增(RPA)与链位移扩增(SDA)和光热横向流动测试条(LFTS),介导硒化铜(CS)纳米材料。该串级系统利用了CS优异的光热转换特性,在808 nm激光照射下提供局部加热以等温驱动RPA和SDA,从而消除了对传统温度控制设备的需求。双扩增策略显著提高了灵敏度,在30分钟内,LD系统的效率比水浴扩增高1.9倍。利用金修饰的cs基光热LFTS定量检测扩增子,其中捕获的纳米颗粒产生可测量的温度升高(ΔT)。该方法在3.9 ~ 3.9 × 106 copies/μL范围内具有较宽的线性关系,检出限为0.43 copies/μL,对sul1、sul2、nuc等非靶向抗生素耐药基因具有较高的特异性,且具有良好的储存稳定性。当应用于加标原料奶样品时,回收率从84.7%到112.3%不等,与qPCR结果密切相关。从扩增到读出的整个工作流程在35分钟内完成,在封闭的试管格式中,为复杂食物基质中耐药基因的现场监测提供了强大,快速和无设备的策略。
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引用次数: 0
Multiplexed discrimination and ultrasensitive determination of pesticides using a Cu-O-Mo nanozyme tri-channel array driven by machine learning 基于机器学习驱动的Cu-O-Mo纳米酶三通道阵列对农药的多路识别和超灵敏测定
IF 10.5 1区 生物学 Q1 BIOPHYSICS Pub Date : 2026-01-05 DOI: 10.1016/j.bios.2026.118374
Lijia Shang , Shuhong Zhou , Xinran Zhang , Junjie Chen , Sisi Wen , Di Liu , Ming Mu , Bing Zhao , Wei Song
Nanozyme-based multichannel sensors integrated with machine learning (ML) often operate as "black boxes," lacking interpretability between analytical outputs and underlying molecular mechanisms. To address this, we developed a polyoxometalate-functionalized MOF featuring Cu–O–Mo bridging motifs, which integrates strong surface-enhanced Raman scattering (SERS) enhancement with synergistic peroxidase (POD)-and polyphenol oxidase (PPO)-like nanozyme activities. A tri-channel assay system (POD-SERS, POD-UV, PPO-UV) coupled with ML algorithms (PCA, LDA, confusion matrix, ROC-AUC) enabled accurate discrimination of seven distinct pesticides and their mixtures, achieving ultrasensitive detection of pirimicarb at 0.1 μg/mL. The platform successfully tracked pesticide residue metabolism on citrus peels over 10 days. Mechanistic studies revealed that POD inhibition is governed by coordination to Mo6+/Mo5+ centers, while PPO inactivation occurs via high-affinity binding to Cu+/Cu2+ sites, with secondary steric and redox effects enhancing specificity. The catalytic mechanism was confirmed through Mo K-edge EXAFS and XANES analyses, competitive binding assays, and IC50 determinations. This work establishes a field-deployable and interpretable framework for multiplex pesticide screening in agricultural and environmental monitoring.
基于纳米酶的多通道传感器集成了机器学习(ML),通常作为“黑盒子”运行,在分析输出和潜在的分子机制之间缺乏可解释性。为了解决这个问题,我们开发了一种具有Cu-O-Mo桥接基序的多金属氧酸功能化MOF,它将强表面增强拉曼散射(SERS)增强与协同过氧化物酶(POD)和多酚氧化酶(PPO)样纳米酶活性结合在一起。三通道检测系统(POD-SERS、POD-UV、PPO-UV)与ML算法(PCA、LDA、混淆矩阵、ROC-AUC)结合,能够准确区分七种不同的农药及其混合物,在0.1 μg/ ML的浓度下实现吡虫威的超灵敏检测。该平台在10天内成功跟踪了柑橘果皮上的农药残留代谢。机制研究表明,POD的抑制作用是通过与Mo6+/Mo5+中心的配合来实现的,而PPO的失活则是通过与Cu+/Cu2+位点的高亲和力结合来实现的,次生位阻和氧化还原效应增强了特异性。通过Mo K-edge EXAFS和XANES分析、竞争结合试验和IC50测定证实了催化机制。这项工作为农业和环境监测中的多种农药筛选建立了一个可实地部署和可解释的框架。
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引用次数: 0
A microreactor system for point-of-care viral genome sequencing 用于即时病毒基因组测序的微反应器系统
IF 10.5 1区 生物学 Q1 BIOPHYSICS Pub Date : 2026-01-05 DOI: 10.1016/j.bios.2026.118369
Thomas M. Hadlock , Jacob D. Neice , Song Li , Sunil Mor , Chang Lu
Viral genome sequencing is critical for understanding viral biology, identifying strain mutations, and managing public health during pandemics. Although sequencing technologies have progressed over the years in terms of throughput and cost, a portable platform that integrates sample processing, library preparation, and sequencing remains critical for point-of-care viral sequencing that combats viral outbreaks. In here, we demonstrate a semi-automated, field-deployable microreactor system to produce nanopore sequencing libraries from viral samples. The system integrates isothermal amplification, purification, and enzymatic processing within a closed-channel format, minimizing contamination risk and operational complexity. Using Senecavirus A (SVA) as a surrogate for high-consequence pathogens, we demonstrate the system's ability to prepare sequencing libraries targeting three dispersed genomic regions comprising ∼14 % of the viral genome and identify single nucleotide variations with high confidence. Together with a portable nanopore sequencer, this microreactor system offers a robust solution for decentralized genomic surveillance and rapid diagnostics in resource-limited and outbreak-prone environments.
病毒基因组测序对于理解病毒生物学、识别毒株突变以及在大流行期间管理公共卫生至关重要。尽管多年来测序技术在通量和成本方面取得了进步,但集成样品处理、文库制备和测序的便携式平台仍然是对抗病毒爆发的即时病毒测序的关键。在这里,我们展示了一个半自动的,现场可部署的微反应器系统,从病毒样本中产生纳米孔测序文库。该系统集成了等温扩增、纯化和封闭通道内的酶处理,最大限度地降低了污染风险和操作复杂性。使用塞内卡病毒A (SVA)作为高后果病原体的替代物,我们证明了该系统能够制备针对三个分散的基因组区域(占病毒基因组的14%)的测序文库,并以高置信度识别单核苷酸变异。与便携式纳米孔测序仪一起,这种微反应器系统为资源有限和易爆发环境中的分散基因组监测和快速诊断提供了强大的解决方案。
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引用次数: 0
Novel nucleic acid detection based on the guide-independent nuclease activity of TbAgo 基于TbAgo非导向核酸酶活性的新型核酸检测方法。
IF 10.5 1区 生物学 Q1 BIOPHYSICS Pub Date : 2026-01-03 DOI: 10.1016/j.bios.2026.118370
Mengjun Fang , Di Huang , Peijie Shen , Mingyan Li , Wei Li , Chunzhen Hua , Zehua Bao , Qiang Shu , Zhinan Xu
In addition to the well-characterized programmable nucleic acid cleavage activity, prokaryotic Argonaute proteins (pAgos) possess a guide-independent nuclease activity capable of degrading nucleic acids into small fragments in the absence of exogenous guide strands, a function commonly referred to as “chopping”, which remains poorly understood. Here, we report the robust chopping activity of Thermus brockianus Argonaute (TbAgo) and leverage this activity to develop chop-NAD (chopping-based Nucleic Acid Detection), a minimal guide-free platform for sequence-specific nucleic acid sensing. When integrated with loop-mediated isothermal amplification (LAMP), chop-NAD enables sensitive, specific, and multiplexed detection of Bordetella pertussis, Bordetella parapertussis, and Mycoplasma pneumoniae in a single tube, with detection limits of 2.38 genome equivalents (gEq)/μL, 2.04 gEq/μL, and 59.7 copies/μL, respectively. Furthermore, a paraffin-encapsulated, lyophilized one-pot format facilitates contamination-resistant, sample-to-answer testing, showing 100 % concordance with clinical PCR results. This one-pot chop-NAD platform offers reduced reagent costs, simplified assay adaptation, improved biosafety, and a streamlined workflow, collectively establishing it as a versatile and scalable diagnostic platform with broad potential for point-of-care testing.
除了众所周知的可编程核酸裂解活性外,原核Argonaute蛋白(pAgos)还具有不依赖于向导的核酸酶活性,能够在缺乏外源向导链的情况下将核酸降解成小片段,这一功能通常被称为“剪切”,目前对其知之甚少。在这里,我们报道了热菌(Thermus brockianus Argonaute, TbAgo)强大的剪切活性,并利用这种活性开发了基于剪切的核酸检测(chop-NAD),这是一种用于序列特异性核酸检测的最小无向导平台。与环介导等温扩增技术(LAMP)结合后,在单管中对百日咳博德氏菌、副百日咳博德氏菌和肺炎支原体进行了灵敏、特异和多路检测,检测限分别为2.38、2.04和59.7拷贝/μL。此外,石蜡包封,冻干的一罐格式有利于抗污染,样品到答案的测试,显示100%的一致性与临床PCR结果。这种一锅式chop-NAD平台降低了试剂成本,简化了检测适应性,提高了生物安全性,简化了工作流程,使其成为一种多功能和可扩展的诊断平台,具有广泛的护理点检测潜力。
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引用次数: 0
Reprogramming AraC-type transcriptional factor to respond to new ligands 1,3-propanediol and 1,4-butanediol via directed evolution 通过定向进化重编程arac型转录因子以响应新的配体1,3-丙二醇和1,4-丁二醇。
IF 10.5 1区 生物学 Q1 BIOPHYSICS Pub Date : 2026-01-02 DOI: 10.1016/j.bios.2025.118359
Hongjie Li , Xiang Wang , Miao Jiao , Qi Wang , Jinyan Yin , Yuanfei Han , Fengyu Zhang , Zhiguo Wang , Qingsheng Qi , Qian Wang
Biosensors play a critical role in metabolic regulation and high-yield strain development in synthetic biology. Here, we developed a biosensor-specific screening platform based on growth-coupled selection and fluorescence-activated cell sorting (FACS), and engineered the AraC-family regulator PocR from Klebsiella pneumoniae to reprogram its response to 1,3-propanediol (1,3-PDO) and 1,4-butanediol (1,4-BDO). Structural analysis revealed that the D152N mutant possesses an enlarged ligand-binding pocket. Using this variant as a template, specificity toward 1,3-PDO and 1,4-BDO was optimized through a kinetics-guided semi-rational strategy and a non-rational approach, resulting in more than a 3.5-fold increase in dynamic range. The optimized biosensor was integrated into a co-culture droplet microfluidic system, enabling high-throughput screening of 1.6 million droplets and successfully isolating a high-producing 1,3-PDO K. pneumoniae strain with a titer of 11.5 g/L, twice that of the wild type. This platform provides a scalable, high-throughput strategy to accelerate biosensor-guided metabolic engineering and the development of high-yield industrial microbial strains.
在合成生物学中,生物传感器在代谢调控和高产菌株发育中起着至关重要的作用。在这里,我们开发了一个基于生长偶联选择和荧光激活细胞分选(FACS)的生物传感器特异性筛选平台,并设计了来自肺炎克雷伯菌的arac家族调节剂PocR,以重新编程其对1,3-丙二醇(1,3- pdo)和1,4-丁二醇(1,4- bdo)的反应。结构分析显示,D152N突变体具有较大的配体结合袋。以该变异为模板,通过动力学导向的半有理策略和非有理方法优化了对1,3- pdo和1,4- bdo的特异性,使动态范围增加了3.5倍以上。将优化后的生物传感器集成到共培养液滴微流控系统中,实现了160万个液滴的高通量筛选,并成功分离出一株高效的1,3- pdo肺炎克雷伯菌,其滴度为11.5 g/L,是野生型的两倍。该平台提供了一种可扩展的、高通量的策略,以加速生物传感器引导的代谢工程和高产工业微生物菌株的开发。
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引用次数: 0
A portable multiplex vertical flow immunoassay platform for Tier 1 biothreat detection in biofluids and environmental matrices 一种便携式多重垂直流免疫分析平台,用于生物流体和环境基质中的一级生物威胁检测。
IF 10.5 1区 生物学 Q1 BIOPHYSICS Pub Date : 2026-01-02 DOI: 10.1016/j.bios.2025.118352
Jasmine Pramila Devadhasan , Alexander Jarrett Summers , Jian Gu , James Helton , Baiju Thomas , Vanessa Berner , Marcellene Gates-Hollingsworth , Supriya Atta , Tuan Vo-Dinh , Douglas C. Montgomery , David AuCoin , Frederic Zenhausern
Rapid, field-deployable diagnostics are critical for detecting high-priority biothreats, yet most platforms lack sensitivity, multiplexing, or usability in resource-limited settings. We present VeriFAST, a compact vertical flow immunoassay (VFI) system integrating automated fluid handling, a nitrocellulose-based multiplex membrane, and smartphone-enabled image processing for real-time analysis. Using a gold nanoparticle sandwich format, VeriFAST simultaneously detects four Tier 1 bacterial antigens LcrV and F1 (Yersinia pestis), FtLPS (Francisella tularensis), CPS (Burkholderia pseudomallei). The system achieved limits of detection of 0.05 ng/mL for F1, 0.0125 ng/mL for CPS and 0.625 ng/mL for LcrV in serum, urine, and soil extracts, with total assay time under 30 min. Reagent stability testing showed that buffers and detection antibodies retained full function for 12 months under ambient or refrigerated storage, whereas capture antibodies began to show signal drift after 3 months at room temperature, even with desiccant protection. Matrix-specific optimization further enabled high reproducibility and low background across complex samples. By combining multiplexing, automated processing, and mobile analytics in a portable format, VeriFAST addresses critical gaps in field diagnostics and offers a scalable solution for biothreat detection in public health, military, and environmental response.
快速、可现场部署的诊断对于检测高优先级的生物威胁至关重要,但大多数平台在资源有限的情况下缺乏灵敏度、多路复用或可用性。我们提出了VeriFAST,一种紧凑的垂直流动免疫分析(VFI)系统,集成了自动化流体处理,基于硝化纤维素的多路膜和智能手机支持的实时分析图像处理。VeriFAST使用金纳米颗粒三明治格式,同时检测四种一级细菌抗原LcrV和F1(鼠疫耶尔森氏菌),FtLPS(土拉弗朗西斯菌),CPS(假伯克霍尔德氏菌)。该系统在血清、尿液和土壤提取物中F1的检出限为0.05 ng/mL, CPS的检出限为0.0125 ng/mL, LcrV的检出限为0.625 ng/mL,总检测时间小于30 min。试剂稳定性测试表明,缓冲液和检测抗体在室温或冷藏下可保持12个月的完整功能,而捕获抗体在室温下3个月后开始出现信号漂移,即使有干燥剂保护。基质特异性优化进一步实现了复杂样品的高再现性和低背景。通过将多路复用、自动化处理和移动分析结合在便携式格式中,VeriFAST解决了现场诊断中的关键空白,并为公共卫生、军事和环境响应中的生物威胁检测提供了可扩展的解决方案。
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引用次数: 0
A droplet digital LAMP-based lab-on-a-disc system for multiplex allele-specific detection of tumor-derived DNA mutations 基于液滴数字lamp的光盘实验室系统,用于肿瘤来源的DNA突变的多重等位基因特异性检测。
IF 10.5 1区 生物学 Q1 BIOPHYSICS Pub Date : 2026-01-02 DOI: 10.1016/j.bios.2025.118367
Hui Lu , Qin Wang , Xun Tang , Yu Jiang, Jianjiang Shen, Xiao Yang, Ning Jiang, Xiaoming Wang, Feng Yan
The absence of accurate, rapid, fully automated, and cost-effective detection methods has hindered the clinical translation of tumor-derived DNA mutations as cancer biomarkers. Here, we develop a sample-to-answer platform, termed multiplexed droplet digital loop-mediated isothermal amplification-based lab-on-a-disc (mddLAMP-LoD), for rapid and allele-specific detection of cancer-associated mutations. The system seamlessly combines automated microfluidics, an improved allele-specific LAMP assay with mismatch-engineered primer design for single-nucleotide discrimination, and artificial intelligence-assisted droplet imaging to enable precise mutation quantification. Full automation is realized through a combination of microfluidic passive valves, a gelatin-based thermosensitive active valve, a static magnetic field-driven on-chip nucleic acid extraction module, and polysaccharide additives that preserve water-in-oil droplet stability for over 1.5 h under thermal amplification. The mddLAMP-LoD platform demonstrates superior performance in detecting multiplex PIK3CA point mutations, achieving detection limits at the attomolar level or as low as100 cells, with a linear range of 0–6362 copies/μL. When coupled with deep learning, it exhibits high sensitivity, specificity and reproducibility, showing strong concordance with commercial kits in the analyses of breast cancer tissue and plasma samples. Using a 0.1 % mutation threshold, PIK3CA mutation frequency in adjacent tissue effectively predicts breast cancer prognosis, while serum PIK3CA profiles correlate with cancer staging and track disease progression. We validated that the mddLAMP-LoD system provides rapid, ultrasensitive mutation profiling suited for intraoperative molecular diagnosis and point-of-care liquid biopsy, representing a significant advance toward accessible precision oncology.
由于缺乏准确、快速、全自动和具有成本效益的检测方法,阻碍了肿瘤来源的DNA突变作为癌症生物标志物的临床转化。在这里,我们开发了一个样本到答案的平台,称为基于多路液滴数字环介导的等温扩增的实验室-光盘(mdlamp - lod),用于快速和等位基因特异性检测癌症相关突变。该系统无缝地结合了自动化微流体,改进的等位基因特异性LAMP测定,配错工程引物设计用于单核苷酸识别,以及人工智能辅助液滴成像,以实现精确的突变定量。通过微流控被动阀、基于明胶的热敏主动阀、静态磁场驱动的片上核酸提取模块以及在热放大下保持油包水液滴稳定性超过1.5 h的多糖添加剂的组合,实现了全自动化。mddLAMP-LoD平台在检测多重PIK3CA点突变方面表现优异,检测限低至100个细胞,线性范围为0-6362拷贝/μL。当与深度学习相结合时,它具有高灵敏度、特异性和可重复性,在乳腺癌组织和血浆样本的分析中与商业试剂盒显示出很强的一致性。使用0.1%的突变阈值,邻近组织中的PIK3CA突变频率有效地预测乳腺癌预后,而血清PIK3CA谱与癌症分期和跟踪疾病进展相关。我们证实,mddLAMP-LoD系统提供了快速、超灵敏的突变谱分析,适用于术中分子诊断和即时液体活检,代表了可获得的精确肿瘤学的重大进步。
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引用次数: 0
Photon-harvesting nanobowls orchestrating AIEgen–mPdPt synergy for triple-modal lateral flow immunoassay of furazolidone metabolites 协调AIEgen-mPdPt协同作用的光子收获纳米碗用于呋喃唑酮代谢物的三模态横向流动免疫分析
IF 10.5 1区 生物学 Q1 BIOPHYSICS Pub Date : 2026-01-01 DOI: 10.1016/j.bios.2025.118368
Yuanyuan Cheng , Yuechun Li , Jiaqi Tian , Lei Zhao , Qingqing Li , Bingzhi Li , Jianlong Wang , Daohong Zhang , Ibrahim A. Darwish
The integration of multiple detection modalities into lateral flow immunoassays (LFIA) is highly desirable for accurate on-site testing but often compromises sensitivity due to signal crosstalk and matrix effects. Here, we reimagine the signal label by engineering a light–energy convergence system (ABCPP). This system is constructed by confining BTDTA-based aggregation-induced emission molecules within a bowl-like covalent organic framework (BC), which serves as a confined “optical cage” that restricts intramolecular motion, thereby significantly enhancing fluorescence emission by 1.52-fold compared to its spherical counterpart. The BC framework also acts as an optical concentrator to strengthen light-matter interactions. The harvested photon energy is efficiently funneled into mesoporous PdPt nanoparticles (mPdPt NPs) decorated on the surface, where it synergizes with the NPs's intrinsic absorption to yield dramatically amplified plasmonic heating, achieving a high photothermal conversion efficiency of 47.35 %. This synergistic design transforms the nanobowls from passive hosts into active energy directors, resulting in a signal label (ABCPP) with integrated colorimetric, fluorescent, and photothermal outputs. When applied to the detection of furazolidone metabolites (AOZ) in real food samples, the ABCPP-based LFIA achieved an ultralow detection limit of 0.07 ng mL−1, excellent selectivity against interferents, and robust performance, underscoring its practicality. This work establishes a novel design paradigm for actively orchestrating energy utilization within nanostructures, paving the way for next-generation multimodal biosensing platforms.
将多种检测模式集成到横向流动免疫测定(LFIA)中是非常理想的,可以进行准确的现场测试,但由于信号串扰和矩阵效应,通常会降低灵敏度。在这里,我们通过设计一个光能量汇聚系统(ABCPP)来重新想象信号标签。该系统通过将基于btdta的聚集诱导发射分子限制在碗状共价有机框架(BC)内构建而成,该框架作为限制分子内运动的受限“光学笼”,从而显着提高了荧光发射,比其球形对应物提高了1.52倍。BC框架还可以作为光聚光器来加强光-物质相互作用。收集的光子能量被有效地汇集到表面修饰的介孔PdPt纳米颗粒(mPdPt NPs)中,在那里它与NPs的固有吸收协同产生显着放大的等离子体加热,实现47.35%的高光热转换效率。这种协同设计将纳米碗从被动宿主转变为主动能量引导器,从而产生具有集成比色、荧光和光热输出的信号标签(ABCPP)。当应用于实际食品样品中呋喃唑酮代谢物(AOZ)的检测时,基于abcpp的LFIA达到了0.07 ng mL−1的超低检出限,对干扰具有良好的选择性,性能稳定,突出了其实用性。这项工作为主动协调纳米结构内的能量利用建立了一种新的设计范式,为下一代多模态生物传感平台铺平了道路。
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引用次数: 0
A smart, shielding, and self-sterilizing E-skin with wavelet-enhanced signal fidelity for next-generation wearable healthcare 具有小波增强信号保真度的智能、屏蔽和自消毒电子皮肤,适用于下一代可穿戴医疗保健
IF 10.5 1区 生物学 Q1 BIOPHYSICS Pub Date : 2026-01-01 DOI: 10.1016/j.bios.2025.118366
Xiaojing Yang , Yijun Fu , Chen Chen , Jiye Yuan , Shuangquan Liao
The reliable acquisition of high-fidelity physiological signals in wearable electronics is currently severely hindered by the trade-off between mechanical compliance and electrical stability, particularly under complex conditions involving electromagnetic interference (EMI) and interfacial bio-contamination. Herein, a hierarchical composite conductive sensing film tailored for versatile applications is designed. The platform employs a polyacrylamide-deproteinized natural rubber (PAAm-DPNR) semi-interpenetrating polymer network (semi-IPN) as the elastic substrate. Subsequently, a polydopamine/polyethyleneimine (PDA/PEI) adhesive layer is co-deposited onto the surface to firmly anchor a silver nanowire (AgNW) conductive network, thereby constructing a composite interface characterized by both high conductivity and robust stability. This unique hierarchical architecture endows the material with superior mechanical stretchability (>500 %), impressive conductivity (8.12 × 104 S m−1), and exceptional electrical stability (ΔR/R0 < 13 % after 10,000 stretching cycles). Beyond its sensing capabilities, the platform exhibits outstanding electromagnetic interference (EMI) shielding effectiveness and potent antibacterial activity. Functioning as a wearable sensor, it enables the precise detection of diverse physiological signals, including pulse, respiration, and joint movements. To further enhance signal detection accuracy, a wavelet transform-based denoising algorithm combined with a Genetic Algorithm-optimized Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (GA-CEEMDAN) strategy is implemented, yielding a significant improvement in the signal-to-noise ratio (>20 dB). This study provides a comprehensive strategy for the development of next-generation wearable devices capable of achieving precise monitoring in complex environments while simultaneously offering active protective functions.
目前,在可穿戴电子设备中,机械顺应性和电气稳定性之间的权衡严重阻碍了高保真生理信号的可靠采集,特别是在涉及电磁干扰(EMI)和界面生物污染的复杂条件下。本文设计了一种适合多种应用的分层复合导电传感膜。该平台采用聚丙烯酰胺-脱蛋白天然橡胶(PAAm-DPNR)半互穿聚合物网络(semi-IPN)作为弹性基体。随后,在表面共沉积聚多巴胺/聚乙烯亚胺(PDA/PEI)粘合层,牢固地锚定银纳米线(AgNW)导电网络,从而构建具有高导电性和鲁棒稳定性的复合界面。这种独特的分层结构赋予了材料卓越的机械拉伸性(> 500%),令人印象深刻的电导率(8.12 × 104 S m−1)和卓越的电气稳定性(ΔR/R0 <; 13%经过10,000次拉伸循环)。除了传感能力之外,该平台还具有出色的电磁干扰(EMI)屏蔽效果和强大的抗菌活性。作为一种可穿戴传感器,它可以精确检测各种生理信号,包括脉搏、呼吸和关节运动。为了进一步提高信号检测精度,采用基于小波变换的去噪算法结合遗传算法优化的全集成经验模态分解自适应噪声(GA-CEEMDAN)策略,显著提高了信号的信噪比(>20 dB)。这项研究为下一代可穿戴设备的开发提供了一个全面的策略,该设备能够在复杂环境中实现精确监测,同时提供主动保护功能。
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引用次数: 0
Responsive hairpin assembly to actuate and cascade π-π stacking G-quadruplexes for amplified electrochemical biosensing 响应发夹组件驱动和级联π-π堆叠g -四联体用于放大电化学生物传感
IF 10.5 1区 生物学 Q1 BIOPHYSICS Pub Date : 2025-12-31 DOI: 10.1016/j.bios.2025.118365
Zhixuan Chen, Yifu Zhou, Honglin Song, Si Liu, Ruo Yuan, Wenju Xu
To explore isothermal, enzyme-free amplification strategy for sensitive detection of Ustilaginoidea (U.) virens, herein we developed a responsive hairpin assembly (RHA) to facilitate π-π stacking G-quadruplexes (G4) for electrochemical biosensing a short-stranded DNA fragment of U. virens-specific biomarker as targeting trigger (tT). The as-designed RHA was executed by programming a recognizable hairpin (rH), a helping hairpin (hH), and two guanine-rich hairpins (gH1 and gH2) with the same G-rich sequence capable of folding into K+-stabilized G4 structure when losing hairpin conformation. Upon inputting tT, the specific recognition initiated progressive RHA operation via cross-unfolding and contiguous hybridization among four hairpins, thereby guiding repeatedly displacement of tT for self-catalytic cycling and complementary chain extension between gH1 and gH2. In the resulting long linear product, free G-rich motifs rationally adopted parallel G-tetrad secondary structures through Hoogsteen hydrogen bonds and Mg2+-aided π-π stacking. Thus, numerous electroactive ferrocene (Fc) at 5′-end of gH1 was cascaded closely on the modified electrode surface to generate significantly amplified current signal. Benefited from integration of catalytic recycling and compact G4 stacking, this RHA-based electrochemical method featured fast reaction kinetics, efficient transduction yield, high specificity and high sensitivity, and would suggest a new paradigm for potentially applicable biosensing, bioanalysis or even agriculture areas.
为了探索对Ustilaginoidea (U.) virens进行等温、无酶扩增的灵敏检测策略,本研究开发了一种响应性发夹组装(RHA),以促进π-π stacking g -四联体(G4)的电化学生物传感,将U. virens特异性生物标志物的短链DNA片段作为靶向触发(tT)。设计的RHA是通过编程一个可识别的发夹(rH)、一个辅助发夹(hH)和两个富鸟嘌呤的发夹(gH1和gH2)来实现的,这些发夹具有相同的富g序列,在失去发夹构象时能够折叠成K+稳定的G4结构。在输入tT后,特异性识别通过四个发夹之间的交叉展开和连续杂交启动进行性RHA操作,从而引导tT的反复位移进行自催化循环和gH1和gH2之间的互补链延伸。在得到的长线性产物中,自由富g基序通过Hoogsteen氢键和Mg2+辅助π-π叠加,合理地采用平行的g四元二级结构。因此,在gH1的5 '端大量的电活性二茂铁(Fc)紧密级联在修饰的电极表面上,产生显著放大的电流信号。得益于催化回收和紧凑的G4堆积,这种基于rhaa的电化学方法具有反应动力学快、转导率高、特异性和灵敏度高的特点,可能为生物传感、生物分析甚至农业领域提供一种新的应用范例。
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Biosensors and Bioelectronics
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