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CRISPR/Cas12a-mediated cyclic signal amplification and electrochemical reporting strategy for rapid and accurate sensing of Vibrio parahaemolyticus in aquatic foods
IF 10.7 1区 生物学 Q1 BIOPHYSICS Pub Date : 2025-02-18 DOI: 10.1016/j.bios.2025.117284
Haoyang Xu , Qi Chen , Xianzhuo Meng , Chao Yan , Bangben Yao , Zhaoran Chen , Zhizeng Wang , Wei Chen
Rapid and accurate detection of target foodborne pathogenic bacteria is extremely important for preventing and controlling foodborne diseases. Vibrio parahaemolyticus (V. parahaemolyticus, Vp) is considered as a major cause of foodborne diseases, posing severe threat to food safety and public health. The efficiency and sensitivity of traditional protocols for Vp identification is time consuming and of poor precision. In this research, a simple electrochemical sensing method was developed for accurate detection of Vp in aquatic products. Target genes of Vp were rapid amplified with the designed recombinase polymerase amplification, which further activated the designed CRISPR/Cas12a system. The electrochemical active ssDNA probe on the sensing interface would be hydrolyzed by the activated trans-cleavage activity of Cas12a, inducing the release of active electrochemical tags from the sensing interface and the decreased sensing signals. Under the optimized conditions, this proposed RPA-mediated electrochemical-CRISPR (E-CRISPR) biosensor enabled sensitive detection of target Vp over a linear range from 101 to 106 CFU/mL, with limit of detection of 32 CFU/mL. Additionally, this E-CRISPR biosensor realized the successful determination of Vp in spiked fish samples with satisfied sensing performance. The isothermal amplification and the rapid electrochemical response of the E-CRISPR biosensor made it suitable for on-site screening. And this E-CRISPR biosensor could be well integrated with other isothermal protocols and extended to other target pathogens, showing great potential for practical applications in molecular diagnostics and other gene detection related fields.
{"title":"CRISPR/Cas12a-mediated cyclic signal amplification and electrochemical reporting strategy for rapid and accurate sensing of Vibrio parahaemolyticus in aquatic foods","authors":"Haoyang Xu ,&nbsp;Qi Chen ,&nbsp;Xianzhuo Meng ,&nbsp;Chao Yan ,&nbsp;Bangben Yao ,&nbsp;Zhaoran Chen ,&nbsp;Zhizeng Wang ,&nbsp;Wei Chen","doi":"10.1016/j.bios.2025.117284","DOIUrl":"10.1016/j.bios.2025.117284","url":null,"abstract":"<div><div>Rapid and accurate detection of target foodborne pathogenic bacteria is extremely important for preventing and controlling foodborne diseases. <em>Vibrio parahaemolyticus</em> (<em>V. parahaemolyticus</em>, <em>Vp</em>) is considered as a major cause of foodborne diseases, posing severe threat to food safety and public health. The efficiency and sensitivity of traditional protocols for <em>Vp</em> identification is time consuming and of poor precision. In this research, a simple electrochemical sensing method was developed for accurate detection of <em>Vp</em> in aquatic products. Target genes of <em>Vp</em> were rapid amplified with the designed recombinase polymerase amplification, which further activated the designed CRISPR/Cas12a system. The electrochemical active ssDNA probe on the sensing interface would be hydrolyzed by the activated <em>trans</em>-cleavage activity of Cas12a, inducing the release of active electrochemical tags from the sensing interface and the decreased sensing signals. Under the optimized conditions, this proposed RPA-mediated electrochemical-CRISPR (E-CRISPR) biosensor enabled sensitive detection of target <em>Vp</em> over a linear range from 10<sup>1</sup> to 10<sup>6</sup> CFU/mL, with limit of detection of 32 CFU/mL. Additionally, this E-CRISPR biosensor realized the successful determination of <em>Vp</em> in spiked fish samples with satisfied sensing performance. The isothermal amplification and the rapid electrochemical response of the E-CRISPR biosensor made it suitable for on-site screening. And this E-CRISPR biosensor could be well integrated with other isothermal protocols and extended to other target pathogens, showing great potential for practical applications in molecular diagnostics and other gene detection related fields.</div></div>","PeriodicalId":259,"journal":{"name":"Biosensors and Bioelectronics","volume":"277 ","pages":"Article 117284"},"PeriodicalIF":10.7,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143464216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
FlexPCR: A streamlined multiplexed digital mRNA quantification platform with universal primers and limited fluorescence channels
IF 10.7 1区 生物学 Q1 BIOPHYSICS Pub Date : 2025-02-17 DOI: 10.1016/j.bios.2025.117277
Joon Soo Park , Jiumei Hu , Liben Chen , Tza-Huei Wang
Accurate quantification of multiple messenger RNA (mRNA) targets is essential for biomedical research and disease diagnosis. Current PCR-based methods for mRNA analysis are limited by the number of fluorescent labels and the complexities associated with multiple target-specific primers, leading to amplification bias and limited multiplexing capability. Here, we introduce Fluorescence-coding extension PCR (FlexPCR), a novel digital PCR-based assay that overcomes these limitations by employing a universal primer and probe strategy in conjugation with oligo extension. This method generates unique fluorescence-coded PCR templates for each mRNA target, enabling multiplexed detection using minimal fluorescence channels. FlexPCR simplifies assay design, reduces non-specific amplification, and enhances quantification accuracy. We demonstrate the efficacy by quantifying seven immune response mRNAs using only two fluorescence colors in various human total RNA samples. The results correlate strongly with gold-standard single-plex RT-qPCR, validating the accuracy of our method. FlexPCR offers a streamlined and scalable approach for multiplexed mRNA quantification with broad applications in gene expression analysis and molecular diagnostics.
{"title":"FlexPCR: A streamlined multiplexed digital mRNA quantification platform with universal primers and limited fluorescence channels","authors":"Joon Soo Park ,&nbsp;Jiumei Hu ,&nbsp;Liben Chen ,&nbsp;Tza-Huei Wang","doi":"10.1016/j.bios.2025.117277","DOIUrl":"10.1016/j.bios.2025.117277","url":null,"abstract":"<div><div>Accurate quantification of multiple messenger RNA (mRNA) targets is essential for biomedical research and disease diagnosis. Current PCR-based methods for mRNA analysis are limited by the number of fluorescent labels and the complexities associated with multiple target-specific primers, leading to amplification bias and limited multiplexing capability. Here, we introduce <u>Fl</u>uorescence-coding <u>ex</u>tension <u>PCR</u> (FlexPCR), a novel digital PCR-based assay that overcomes these limitations by employing a universal primer and probe strategy in conjugation with oligo extension. This method generates unique fluorescence-coded PCR templates for each mRNA target, enabling multiplexed detection using minimal fluorescence channels. FlexPCR simplifies assay design, reduces non-specific amplification, and enhances quantification accuracy. We demonstrate the efficacy by quantifying seven immune response mRNAs using only two fluorescence colors in various human total RNA samples. The results correlate strongly with gold-standard single-plex RT-qPCR, validating the accuracy of our method. FlexPCR offers a streamlined and scalable approach for multiplexed mRNA quantification with broad applications in gene expression analysis and molecular diagnostics.</div></div>","PeriodicalId":259,"journal":{"name":"Biosensors and Bioelectronics","volume":"277 ","pages":"Article 117277"},"PeriodicalIF":10.7,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143464218","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A bioinspired microbial taste chip with artificial intelligence-enabled high selectivity and ultra-short response time
IF 10.7 1区 生物学 Q1 BIOPHYSICS Pub Date : 2025-02-17 DOI: 10.1016/j.bios.2025.117264
Yining Wang , Fengxiang Tang , Boya Liu , Yifan Wu , Ruohan Zhang , Hao Ren
Real-time water pollution monitoring is crucial as global water pollution has become an urgent issue endangering the health of humanity. Microbial taste chips are promising for water pollution monitoring due to the advantages of short response time and real-time monitoring capability. However, although more than 200 journal research articles on microbial taste chips have been reported to date, sensor selectivity, which is the foremost critical parameter, remains an unsolved challenge even after utilizing gene-editing techniques. In addition, the response time is long and takes at least 3 min. Herein, we report a breakthrough to solve the selectivity challenge by a bioinspired wireless microfluidic microbial taste chip with artificial-intelligence(AI)-enabled high selectivity. Utilizing gated recurrent unit(GRU)-based deep learning algorithms, we demonstrate a classification accuracy of 98.9% for Cu2+, Pb2+, and Cr6+ by harnessing the different temporal output current patterns of the chips to different pollutants. A shortest 48-s response time is achieved, 3.75 times shorter than the fastest previously reported counterpart. The chip enables real-time sensing of Cu2+, Pb2+, and Cr6+ with high accuracy and linearity. Combined with a small footprint and wireless connectivity, the chip may find applications in real-time quantitative heavy metal ions in water monitoring and contribute to global efforts in fighting water pollution.
{"title":"A bioinspired microbial taste chip with artificial intelligence-enabled high selectivity and ultra-short response time","authors":"Yining Wang ,&nbsp;Fengxiang Tang ,&nbsp;Boya Liu ,&nbsp;Yifan Wu ,&nbsp;Ruohan Zhang ,&nbsp;Hao Ren","doi":"10.1016/j.bios.2025.117264","DOIUrl":"10.1016/j.bios.2025.117264","url":null,"abstract":"<div><div>Real-time water pollution monitoring is crucial as global water pollution has become an urgent issue endangering the health of humanity. Microbial taste chips are promising for water pollution monitoring due to the advantages of short response time and real-time monitoring capability. However, although more than 200 journal research articles on microbial taste chips have been reported to date, sensor selectivity, which is the foremost critical parameter, remains an unsolved challenge even after utilizing gene-editing techniques. In addition, the response time is long and takes at least 3 min. Herein, we report a breakthrough to solve the selectivity challenge by a bioinspired wireless microfluidic microbial taste chip with artificial-intelligence(AI)-enabled high selectivity. Utilizing gated recurrent unit(GRU)-based deep learning algorithms, we demonstrate a classification accuracy of 98.9% for Cu<sup>2+</sup>, Pb<sup>2+</sup>, and Cr<sup>6+</sup> by harnessing the different temporal output current patterns of the chips to different pollutants. A shortest 48-s response time is achieved, 3.75 times shorter than the fastest previously reported counterpart. The chip enables real-time sensing of Cu<sup>2+</sup>, Pb<sup>2+</sup>, and Cr<sup>6+</sup> with high accuracy and linearity. Combined with a small footprint and wireless connectivity, the chip may find applications in real-time quantitative heavy metal ions in water monitoring and contribute to global efforts in fighting water pollution.</div></div>","PeriodicalId":259,"journal":{"name":"Biosensors and Bioelectronics","volume":"277 ","pages":"Article 117264"},"PeriodicalIF":10.7,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143464217","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Smartphone-assisted fluorescent film based on the Flu grafted on Eu-MOF for real-time monitoring of fresh-cut fruit freshness
IF 10.7 1区 生物学 Q1 BIOPHYSICS Pub Date : 2025-02-17 DOI: 10.1016/j.bios.2025.117278
Zhepeng Zhang , Mingjie Gao , Liang Zhang , Jiangbo Li , Hesham R. El-Seedi , Xiaobo Zou , Zhiming Guo
Indicator migration within intelligent packaging systems can compromise the safety of the food matrix and the accuracy of coloration, particularly in high humidity packaging. Herein, Eu-BDC-NH2-Fluorescein (MOF-Flu) nanofillers were synthesized by the amide coupling, followed by an analysis of their structural, morphological characteristics, and optical response. The MOF-Flu and microcrystalline cellulose (MCC) nanomaterials were embedded into a sodium carboxymethyl cellulose (CMC-Na) substrate to fabricate enhanced packaging films. Several beneficial properties, including superior hydrophobicity and water resistance, improved mechanical properties, and enhanced thermal stability, were observed for CMC-Na/MOF-Flu compared to CMC-Na/MCC. Additionally, the MOF-Flu composite film exhibited improved UV–visible barrier properties, exceptional resistance to pigment migration, and good time-temperature stability. Finally, a significant linear correlation (R2 = 0.9938, LOD: 1.79–2.90 N/cm2, RSD: 2.16%, recovery: 103.93%) was established using a smartphone application to display the relationship between the SRGB-values of MOFs-based films and hardness of fresh-cut Narcissus mangoes at 4 °C. The digital sensing platform utilizing smartphones has pioneered a powerful approach for the on-site rapid quantitative assessment of fresh-cut fruit freshness, significantly enhancing the precision and convenience of intelligent packaging. Furthermore, the developed indicator material MOF-Flu can accurately and non-destructively monitor changes of fruit freshness, alleviating concerns regarding dye contamination during migration.
智能包装系统中的指示剂迁移会影响食品基质的安全性和着色的准确性,尤其是在高湿度包装中。本文通过酰胺偶联法合成了Eu-BDC-NH2-荧光素(MOF-Flu)纳米填料,并对其结构、形态特征和光学响应进行了分析。将 MOF-Flu 和微晶纤维素(MCC)纳米材料嵌入羧甲基纤维素钠(CMC-Na)基质中,制成了增强型包装膜。与 CMC-Na/MCC 相比,CMC-Na/MOF-Flu 具有多种有益特性,包括优异的疏水性和耐水性、更好的机械特性和更强的热稳定性。此外,MOF-Flu 复合薄膜还具有更好的紫外线可见光阻隔性、优异的抗颜料迁移性和良好的时间-温度稳定性。最后,利用智能手机应用程序显示基于 MOFs 的薄膜的 SRGB 值与 4 °C 时新切水仙芒果的硬度之间的关系,建立了明显的线性相关性(R2 = 0.9938,LOD:1.79-2.90 N/cm2,RSD:2.16%,回收率:103.93%)。利用智能手机的数字传感平台开创了现场快速定量评估鲜切水果新鲜度的有力方法,大大提高了智能包装的精确性和便利性。此外,所开发的指示剂材料 MOF-Flu 能够准确、无损地监测水果新鲜度的变化,从而减轻了迁移过程中染料污染的担忧。
{"title":"Smartphone-assisted fluorescent film based on the Flu grafted on Eu-MOF for real-time monitoring of fresh-cut fruit freshness","authors":"Zhepeng Zhang ,&nbsp;Mingjie Gao ,&nbsp;Liang Zhang ,&nbsp;Jiangbo Li ,&nbsp;Hesham R. El-Seedi ,&nbsp;Xiaobo Zou ,&nbsp;Zhiming Guo","doi":"10.1016/j.bios.2025.117278","DOIUrl":"10.1016/j.bios.2025.117278","url":null,"abstract":"<div><div>Indicator migration within intelligent packaging systems can compromise the safety of the food matrix and the accuracy of coloration, particularly in high humidity packaging. Herein, Eu-BDC-NH<sub>2</sub>-Fluorescein (MOF-Flu) nanofillers were synthesized by the amide coupling, followed by an analysis of their structural, morphological characteristics, and optical response. The MOF-Flu and microcrystalline cellulose (MCC) nanomaterials were embedded into a sodium carboxymethyl cellulose (CMC-Na) substrate to fabricate enhanced packaging films. Several beneficial properties, including superior hydrophobicity and water resistance, improved mechanical properties, and enhanced thermal stability, were observed for CMC-Na/MOF-Flu compared to CMC-Na/MCC. Additionally, the MOF-Flu composite film exhibited improved UV–visible barrier properties, exceptional resistance to pigment migration, and good time-temperature stability. Finally, a significant linear correlation (R<sup>2</sup> = 0.9938, LOD: 1.79–2.90 N/cm<sup>2</sup>, RSD: 2.16%, recovery: 103.93%) was established using a smartphone application to display the relationship between the <em>S</em><sub><em>RGB</em></sub>-values of MOFs-based films and hardness of fresh-cut Narcissus mangoes at 4 °C. The digital sensing platform utilizing smartphones has pioneered a powerful approach for the on-site rapid quantitative assessment of fresh-cut fruit freshness, significantly enhancing the precision and convenience of intelligent packaging. Furthermore, the developed indicator material MOF-Flu can accurately and non-destructively monitor changes of fruit freshness, alleviating concerns regarding dye contamination during migration.</div></div>","PeriodicalId":259,"journal":{"name":"Biosensors and Bioelectronics","volume":"277 ","pages":"Article 117278"},"PeriodicalIF":10.7,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143445224","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A robust H2O2-responsive AIEgen with multiple-task performance: Achieving food analysis, visualization of dual organelles and diagnosis of liver injury
IF 10.7 1区 生物学 Q1 BIOPHYSICS Pub Date : 2025-02-16 DOI: 10.1016/j.bios.2025.117276
Jia Li , Xin Kang , Nianjia Liu , Ao Zhang , Longxuan Li , Xuan Zhao , Yuzhi Li , Houcheng Zhou , Yun Deng , Cheng Peng , Zhixing Cao , Yuyu Fang
Drug- and alcohol-induced liver injury poses a serious threat to human health with long-lasting clinical, social and economic consequences. As a reactive oxygen species (ROS), hydrogen peroxide (H2O2) is widely-used as a molecular biomarker of liver injury. H2O2 is also utilized as a processing aid in the food industry. Therefore, monitoring the levels of H2O2 in liver and food samples is important for disease diagnosis and food safety demanding the development of efficient sensing and visualization tools. To address this challenge, we report a novel aggregation-induced emission (AIE) fluorescent probe for detecting H2O2 named TVQ-B, featuring near-infrared (NIR) emission (740 nm), large Stokes shift (195 nm), fast response time and high selectivity. Interestingly, H2O2 can activate the dual organelles targeting ability of TVQ-B for mitochondria and lipid droplets, enabling dual-channel imaging of H2O2. Importantly, the TVQ-B probe has been successfully used to monitor H2O2 in food samples, living cells, zebrafish and mice. This fluorescence imaging approach using endogenous H2O2 as a marker provides a robust and convenient diagnostic protocol for drug- and alcohol-induced liver injury. Based on this protocol, TVQ-B-based visualization provided potent evidence for the therapeutic efficacy of natural flavonolignan silybin for the reduction of negative effects of alcohol consumption.
{"title":"A robust H2O2-responsive AIEgen with multiple-task performance: Achieving food analysis, visualization of dual organelles and diagnosis of liver injury","authors":"Jia Li ,&nbsp;Xin Kang ,&nbsp;Nianjia Liu ,&nbsp;Ao Zhang ,&nbsp;Longxuan Li ,&nbsp;Xuan Zhao ,&nbsp;Yuzhi Li ,&nbsp;Houcheng Zhou ,&nbsp;Yun Deng ,&nbsp;Cheng Peng ,&nbsp;Zhixing Cao ,&nbsp;Yuyu Fang","doi":"10.1016/j.bios.2025.117276","DOIUrl":"10.1016/j.bios.2025.117276","url":null,"abstract":"<div><div>Drug- and alcohol-induced liver injury poses a serious threat to human health with long-lasting clinical, social and economic consequences. As a reactive oxygen species (ROS), hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>) is widely-used as a molecular biomarker of liver injury. H<sub>2</sub>O<sub>2</sub> is also utilized as a processing aid in the food industry. Therefore, monitoring the levels of H<sub>2</sub>O<sub>2</sub> in liver and food samples is important for disease diagnosis and food safety demanding the development of efficient sensing and visualization tools. To address this challenge, we report a novel aggregation-induced emission (AIE) fluorescent probe for detecting H<sub>2</sub>O<sub>2</sub> named <strong>TVQ-B</strong>, featuring near-infrared (NIR) emission (740 nm), large Stokes shift (195 nm), fast response time and high selectivity. Interestingly, H<sub>2</sub>O<sub>2</sub> can activate the dual organelles targeting ability of <strong>TVQ-B</strong> for mitochondria and lipid droplets, enabling dual-channel imaging of H<sub>2</sub>O<sub>2</sub>. Importantly, the <strong>TVQ-B</strong> probe has been successfully used to monitor H<sub>2</sub>O<sub>2</sub> in food samples, living cells, zebrafish and mice. This fluorescence imaging approach using endogenous H<sub>2</sub>O<sub>2</sub> as a marker provides a robust and convenient diagnostic protocol for drug- and alcohol-induced liver injury. Based on this protocol, <strong>TVQ-B</strong>-based visualization provided potent evidence for the therapeutic efficacy of natural flavonolignan silybin for the reduction of negative effects of alcohol consumption.</div></div>","PeriodicalId":259,"journal":{"name":"Biosensors and Bioelectronics","volume":"276 ","pages":"Article 117276"},"PeriodicalIF":10.7,"publicationDate":"2025-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143438043","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
DIW 3D printing of well-interconnected hierarchically porous microlattice for ultrasensitive photoelectrochemical sensing
IF 10.7 1区 生物学 Q1 BIOPHYSICS Pub Date : 2025-02-15 DOI: 10.1016/j.bios.2025.117271
Chunjing Zhang , Yuanyuan Zhang , Yifan Wang , Jinpeng Liu , Yatao Chang , Tongtong Qin , Yufang Cao , Xuejiao Bao , Ping Li , Zhengpeng Yang , Yongyi Zhang
Endowing channel-interconnected photoelectrode with prominent light-absorbing and analyte-trapping is pivotal but challenging for implementing high-performance photoelectrochemical sensing system. Herein, we demonstrated an effective and controllable direct ink writing (DIW) 3D printing coupled with molecular imprinting technology for consistently fabricating microlattice-shaped photoelectrochemical sensor, with multiscale well-interconnected channels created by accessible alliance of regular macrochannels originated from layer-by-layer assembly of printed filaments and abundant microchannels built by jointing molecule-recognized polyaniline (PANI), photoactive TiO2 and conductive graphene (G) nanosheets within filaments. The unique structure merit facilitated ready spreading of incident light into the sensor interior, and meanwhile enabled rapid diffusion/infiltration of analytes onto all specificity binding sites situated inside the sensor, thereby allowing light absorbance and analyte adsorption at a high level. As a result, the 3D-printed molecularly imprinted photoelectrochemical sensor displayed impressive monitoring capability for urea, with rapid response, low detection limit (2 μM), wide linear range (10–700 μM), exceptional selectivity and working stability. This work opens up a promising route for architecting advanced photoelectrochemical devices to cater to highly sensitive and selective sensing.
{"title":"DIW 3D printing of well-interconnected hierarchically porous microlattice for ultrasensitive photoelectrochemical sensing","authors":"Chunjing Zhang ,&nbsp;Yuanyuan Zhang ,&nbsp;Yifan Wang ,&nbsp;Jinpeng Liu ,&nbsp;Yatao Chang ,&nbsp;Tongtong Qin ,&nbsp;Yufang Cao ,&nbsp;Xuejiao Bao ,&nbsp;Ping Li ,&nbsp;Zhengpeng Yang ,&nbsp;Yongyi Zhang","doi":"10.1016/j.bios.2025.117271","DOIUrl":"10.1016/j.bios.2025.117271","url":null,"abstract":"<div><div>Endowing channel-interconnected photoelectrode with prominent light-absorbing and analyte-trapping is pivotal but challenging for implementing high-performance photoelectrochemical sensing system. Herein, we demonstrated an effective and controllable direct ink writing (DIW) 3D printing coupled with molecular imprinting technology for consistently fabricating microlattice-shaped photoelectrochemical sensor, with multiscale well-interconnected channels created by accessible alliance of regular macrochannels originated from layer-by-layer assembly of printed filaments and abundant microchannels built by jointing molecule-recognized polyaniline (PANI), photoactive TiO<sub>2</sub> and conductive graphene (G) nanosheets within filaments. The unique structure merit facilitated ready spreading of incident light into the sensor interior, and meanwhile enabled rapid diffusion/infiltration of analytes onto all specificity binding sites situated inside the sensor, thereby allowing light absorbance and analyte adsorption at a high level. As a result, the 3D-printed molecularly imprinted photoelectrochemical sensor displayed impressive monitoring capability for urea, with rapid response, low detection limit (2 μM), wide linear range (10–700 μM), exceptional selectivity and working stability. This work opens up a promising route for architecting advanced photoelectrochemical devices to cater to highly sensitive and selective sensing.</div></div>","PeriodicalId":259,"journal":{"name":"Biosensors and Bioelectronics","volume":"276 ","pages":"Article 117271"},"PeriodicalIF":10.7,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143427617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Enzymatic cascade amplification-modulated Thermus thermophilus Argonaute biosensor for simultaneous monitoring of multiple Piwi-interacting RNAs
IF 10.7 1区 生物学 Q1 BIOPHYSICS Pub Date : 2025-02-14 DOI: 10.1016/j.bios.2025.117261
Ze Wang , Wen-jing Liu , Jinqiu Tao , Juan Hu , Chun-yang Zhang
PIWI-interacting RNAs (piRNAs) play critical regulatory roles in a variety of physiological and pathological process, and their aberrant expression levels are implicated in the progression and prognosis of cancers. Herein, we construct an enzymatic cascade amplification-modulated Thermus thermophilus Argonaute (TtAgo) biosensor for simultaneous monitoring of multiple piRNAs (i.e., piR-36026 and piR-36743) in breast tissues. Targets piR-36026 and piR-36743 can initiate enzymatic cascade amplification events to produce two corresponding amplicons with 5′-phosphate termini (i.e., gDNAs 1 and 2), respectively. The gDNAs 1 and 2 can serve as the DNA guides to activate TtAgo-dependent cyclic cleavage of reporters 1 and 2, respectively, liberating numerous Cy3 and Cy5 fluorophores. Taking advantage of the high efficiency of enzymatic cascade amplification, and the precise recognition and multi-turnover cleavage activity of TtAgo, this TtAgo biosensor achieves high sensitivity, good selectivity, and multiplex analysis capability. Moreover, it can be employed for simultaneous quantification of endogenous piR-36026 and piR-36743 with single-cell sensitivity, and differentiation of piRNA levels in the tissues of breast cancer patients and healthy individuals, offering a promising platform for bioanalytical and biomedical researches.
{"title":"Enzymatic cascade amplification-modulated Thermus thermophilus Argonaute biosensor for simultaneous monitoring of multiple Piwi-interacting RNAs","authors":"Ze Wang ,&nbsp;Wen-jing Liu ,&nbsp;Jinqiu Tao ,&nbsp;Juan Hu ,&nbsp;Chun-yang Zhang","doi":"10.1016/j.bios.2025.117261","DOIUrl":"10.1016/j.bios.2025.117261","url":null,"abstract":"<div><div>PIWI-interacting RNAs (piRNAs) play critical regulatory roles in a variety of physiological and pathological process, and their aberrant expression levels are implicated in the progression and prognosis of cancers. Herein, we construct an enzymatic cascade amplification-modulated <em>Thermus thermophilus</em> Argonaute (<em>Tt</em>Ago) biosensor for simultaneous monitoring of multiple piRNAs (i.e., piR-36026 and piR-36743) in breast tissues. Targets piR-36026 and piR-36743 can initiate enzymatic cascade amplification events to produce two corresponding amplicons with 5′-phosphate termini (i.e., gDNAs 1 and 2), respectively. The gDNAs 1 and 2 can serve as the DNA guides to activate <em>Tt</em>Ago-dependent cyclic cleavage of reporters 1 and 2, respectively, liberating numerous Cy3 and Cy5 fluorophores. Taking advantage of the high efficiency of enzymatic cascade amplification, and the precise recognition and multi-turnover cleavage activity of <em>Tt</em>Ago, this <em>Tt</em>Ago biosensor achieves high sensitivity, good selectivity, and multiplex analysis capability. Moreover, it can be employed for simultaneous quantification of endogenous piR-36026 and piR-36743 with single-cell sensitivity, and differentiation of piRNA levels in the tissues of breast cancer patients and healthy individuals, offering a promising platform for bioanalytical and biomedical researches.</div></div>","PeriodicalId":259,"journal":{"name":"Biosensors and Bioelectronics","volume":"276 ","pages":"Article 117261"},"PeriodicalIF":10.7,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143438044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Deep learning enabled open-set bacteria recognition using surface-enhanced Raman spectroscopy
IF 10.7 1区 生物学 Q1 BIOPHYSICS Pub Date : 2025-02-14 DOI: 10.1016/j.bios.2025.117245
Hanyu Cao , Jie Cheng , Xing Ma , Shan Liu , Jinhong Guo , Diangeng Li
Accurate bacterial identification is vital in medical and healthcare settings. Traditional methods, though reliable, are often time-consuming, underscoring the need for faster, more efficient alternatives. Deep learning-assisted Surface-enhanced Raman spectroscopy (SERS) offers a rapid and sensitive method, demonstrating high accuracy in bacterial identification. However, current deep learning models for bacterial SERS spectra classification typically operate under a closed-set paradigm, limiting their effectiveness when encountering bacterial species outside the training set. In response to this challenge, we propose a transformer-based neural network for open-set bacterial recognition using SERS spectra. Our model utilizes a combination of classification and reconstruction tasks, rejecting unknown species by analyzing reconstruction errors. Experimental results show that the proposed model outperforms traditional open-set recognition approaches, providing superior accuracy in both classifying known species and rejecting unknown ones. This study addresses the limitations of existing closed-set methods, improving the robustness of bacterial identification in real-world scenarios and demonstrating the potential of integrating SERS with transformer models for medical and healthcare applications.
{"title":"Deep learning enabled open-set bacteria recognition using surface-enhanced Raman spectroscopy","authors":"Hanyu Cao ,&nbsp;Jie Cheng ,&nbsp;Xing Ma ,&nbsp;Shan Liu ,&nbsp;Jinhong Guo ,&nbsp;Diangeng Li","doi":"10.1016/j.bios.2025.117245","DOIUrl":"10.1016/j.bios.2025.117245","url":null,"abstract":"<div><div>Accurate bacterial identification is vital in medical and healthcare settings. Traditional methods, though reliable, are often time-consuming, underscoring the need for faster, more efficient alternatives. Deep learning-assisted Surface-enhanced Raman spectroscopy (SERS) offers a rapid and sensitive method, demonstrating high accuracy in bacterial identification. However, current deep learning models for bacterial SERS spectra classification typically operate under a closed-set paradigm, limiting their effectiveness when encountering bacterial species outside the training set. In response to this challenge, we propose a transformer-based neural network for open-set bacterial recognition using SERS spectra. Our model utilizes a combination of classification and reconstruction tasks, rejecting unknown species by analyzing reconstruction errors. Experimental results show that the proposed model outperforms traditional open-set recognition approaches, providing superior accuracy in both classifying known species and rejecting unknown ones. This study addresses the limitations of existing closed-set methods, improving the robustness of bacterial identification in real-world scenarios and demonstrating the potential of integrating SERS with transformer models for medical and healthcare applications.</div></div>","PeriodicalId":259,"journal":{"name":"Biosensors and Bioelectronics","volume":"276 ","pages":"Article 117245"},"PeriodicalIF":10.7,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143421145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Thermo-responsive and phase-separated hydrogels for cardiac arrhythmia diagnosis with deep learning algorithms
IF 10.7 1区 生物学 Q1 BIOPHYSICS Pub Date : 2025-02-14 DOI: 10.1016/j.bios.2025.117262
Hui Chen , Jian Zhou , Huan Cao , Dongfang Liang , Lei Chen , Yuanfan Yang , Lu Wang , Jianfei Xie , Huigao Duan , Yongqing Fu
Adhesive epidermal hydrogel electrodes are essential for achieving robust signal transduction and cardiac arrhythmia diagnosis, but detachment of conventional adhesive dressings easily causes secondary damage to delicate wound tissues due to lack of programmable capability of changed adhesion. Herein, we developed hydrogel-based skin-interfacing electrodes capable of on-demand programmable adhesion and detachment to capture electrocardiogram signals for diagnosing cardiac arrhythmia. This was achieved by integrating dynamic multiscale contact and coordinated regulation through temperature-mediated switchable hydrogen bond interactions in phase-separated smart hydrogels. Through micro-scale regulation of adhesive molecules and meso-scale modulation of the modulus, the hydrogel electrodes can be rapidly transited between a slippery state (adhesion ∼1.3 N/m) and a sticky one (adhesion ∼110 N/m) during its peeling from skin. This achieves an 84.5-fold increase of on/off adhesive energy (or reducing the adhesion at the skin interface by 98%) at low temperatures compared to normal skin temperature. A real-time cloud platform was developed by integrating hydrogel electrodes, enabling remote electrocardiogram (ECG) monitoring. For clinical applications, such developed skin sensing platform effectively captured cardiac activities in patients with eight common arrhythmias, achieving by the recorded high-fidelity and analyzable electrical signals. With the assistance of deep learning algorithms, we demonstrated a wearable cardiac arrhythmia intelligent diagnosis system which enables real-time conversion of the collected ECG data into diagnostic evaluations with a recognition accuracy of 98.5%.
{"title":"Thermo-responsive and phase-separated hydrogels for cardiac arrhythmia diagnosis with deep learning algorithms","authors":"Hui Chen ,&nbsp;Jian Zhou ,&nbsp;Huan Cao ,&nbsp;Dongfang Liang ,&nbsp;Lei Chen ,&nbsp;Yuanfan Yang ,&nbsp;Lu Wang ,&nbsp;Jianfei Xie ,&nbsp;Huigao Duan ,&nbsp;Yongqing Fu","doi":"10.1016/j.bios.2025.117262","DOIUrl":"10.1016/j.bios.2025.117262","url":null,"abstract":"<div><div>Adhesive epidermal hydrogel electrodes are essential for achieving robust signal transduction and cardiac arrhythmia diagnosis, but detachment of conventional adhesive dressings easily causes secondary damage to delicate wound tissues due to lack of programmable capability of changed adhesion. Herein, we developed hydrogel-based skin-interfacing electrodes capable of on-demand programmable adhesion and detachment to capture electrocardiogram signals for diagnosing cardiac arrhythmia. This was achieved by integrating dynamic multiscale contact and coordinated regulation through temperature-mediated switchable hydrogen bond interactions in phase-separated smart hydrogels. Through micro-scale regulation of adhesive molecules and meso-scale modulation of the modulus, the hydrogel electrodes can be rapidly transited between a slippery state (adhesion ∼1.3 N/m) and a sticky one (adhesion ∼110 N/m) during its peeling from skin. This achieves an 84.5-fold increase of on/off adhesive energy (or reducing the adhesion at the skin interface by 98%) at low temperatures compared to normal skin temperature. A real-time cloud platform was developed by integrating hydrogel electrodes, enabling remote electrocardiogram (ECG) monitoring. For clinical applications, such developed skin sensing platform effectively captured cardiac activities in patients with eight common arrhythmias, achieving by the recorded high-fidelity and analyzable electrical signals. With the assistance of deep learning algorithms, we demonstrated a wearable cardiac arrhythmia intelligent diagnosis system which enables real-time conversion of the collected ECG data into diagnostic evaluations with a recognition accuracy of 98.5%.</div></div>","PeriodicalId":259,"journal":{"name":"Biosensors and Bioelectronics","volume":"276 ","pages":"Article 117262"},"PeriodicalIF":10.7,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143427615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A 3D porous electrode for real-time monitoring of microalgal growth and exopolysaccharides yields using Electrochemical Impedance Spectroscopy
IF 10.7 1区 生物学 Q1 BIOPHYSICS Pub Date : 2025-02-13 DOI: 10.1016/j.bios.2025.117260
Francisco C. Cotta , Raquel Amaral , Felipe L. Bacellar , Diogo Correia , Kamal Asadi , Paulo R.F. Rocha
Efficient monitoring of microalgal growth is vital for biomass industrialization and management of water resources. The precise determination of growth phases of biotechnologically relevant species of microalgae is necessary as it allows controlling the onset of target metabolites production such as exopolysaccharides (EPS). However, a low-cost, real-time and ultrasensitive measurement method for direct determination of real-time microalgal growth and EPS production does not exist. Here, we show that Electrochemical Impedance Spectroscopy (EIS) in combination with porous polyurethane(PU)/poly (3,4- ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS) electrodes can be used as a real-time probe to monitor microalgal growth and EPS production. We employ Lobochlamys segnis as a microalgae model system and show that growth can be continuously monitored with EIS for 14 days. A logistic growth rate from impedance data of kZ = 0.75/day is found similar to that of conventional cell counting, of kcells = 0.85/day, and is extracted from initial cell seeding densities as low as 105 cells/mL. Furthermore, the Ohmic resistance of electrolyte solution enables the detection of the time-point of maximum EPS production. The combination of ultra-large porous electrodes with EIS provides a platform for sensing and modelling of microalgae growth in real-time and opens new avenues for predictive water resource management as well as more effective large-scale microalgal production in biotechnological applications.
{"title":"A 3D porous electrode for real-time monitoring of microalgal growth and exopolysaccharides yields using Electrochemical Impedance Spectroscopy","authors":"Francisco C. Cotta ,&nbsp;Raquel Amaral ,&nbsp;Felipe L. Bacellar ,&nbsp;Diogo Correia ,&nbsp;Kamal Asadi ,&nbsp;Paulo R.F. Rocha","doi":"10.1016/j.bios.2025.117260","DOIUrl":"10.1016/j.bios.2025.117260","url":null,"abstract":"<div><div>Efficient monitoring of microalgal growth is vital for biomass industrialization and management of water resources. The precise determination of growth phases of biotechnologically relevant species of microalgae is necessary as it allows controlling the onset of target metabolites production such as exopolysaccharides (EPS). However, a low-cost, real-time and ultrasensitive measurement method for direct determination of real-time microalgal growth and EPS production does not exist. Here, we show that Electrochemical Impedance Spectroscopy (EIS) in combination with porous polyurethane(PU)/poly (3,4- ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS) electrodes can be used as a real-time probe to monitor microalgal growth and EPS production. We employ <em>Lobochlamys segnis</em> as a microalgae model system and show that growth can be continuously monitored with EIS for 14 days. A logistic growth rate from impedance data of <em>k</em><sub><em>Z</em></sub> = 0.75/day is found similar to that of conventional cell counting, of <em>k</em><sub><em>cells</em></sub> = 0.85/day, and is extracted from initial cell seeding densities as low as 10<sup>5</sup> cells/mL. Furthermore, the Ohmic resistance of electrolyte solution enables the detection of the time-point of maximum EPS production. The combination of ultra-large porous electrodes with EIS provides a platform for sensing and modelling of microalgae growth in real-time and opens new avenues for predictive water resource management as well as more effective large-scale microalgal production in biotechnological applications.</div></div>","PeriodicalId":259,"journal":{"name":"Biosensors and Bioelectronics","volume":"277 ","pages":"Article 117260"},"PeriodicalIF":10.7,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143454355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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Biosensors and Bioelectronics
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