Ultrasensitive electrochemical paper-based biosensor for microRNA via strand displacement reaction and metal-organic frameworks

He, Wei; Jian, Yannan; Kong, Qingkun; Liu, Haiyun; Lan, Feifei; Li, Liang; Ge, Shenguang; Yu, Jinghua

doi:10.1016/j.snb.2017.10.188

Cited by 121 publications

(48 citation statements)

References 55 publications

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“…Ge and co‐workers reported an Au NPs‐modified Cu‐MOF‐based origami electrochemical biosensor for ultrasensitive detection of microRNA (miRNA) by a strand displacement reaction 76. In this system, Au NPs was grown on the paper electrode to increase the conductivity of the electrode and to immobilize the hairpin probe (H1).…”

Section: Biomedical Applications Of Mofsmentioning

confidence: 99%

“…In this review article, we will summarize the recent developments of MOF‐based composite materials including the synthesis and functionalization8–15 and their biomedical applications in the delivery of cargos including drugs, nucleic acids, proteins, and dyes ( Table 1 ),19,21–23,25–29,31b,d,34–41 bioimaging ( Table 2 ),43–45,47–54 antimicrobial ( Table 3 ),57,60–67 biosensing ( Table 4 ),69–73,75–86 and biocatalysis ( Table 5 ). 91–95 Moreover, the potential of MOFs for biomedical applications has been clarified through the analysis of recent examples reported in literature.…”

Section: Introductionmentioning

confidence: 99%

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Metal–Organic Frameworks for Biomedical Applications

Yang

2020

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528

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Metal–organic frameworks (MOFs) are an interesting and useful class of coordination polymers, constructed from metal ion/cluster nodes and functional organic ligands through coordination bonds, and have attracted extensive research interest during the past decades. Due to the unique features of diverse compositions, facile synthesis, easy surface functionalization, high surface areas, adjustable porosity, and tunable biocompatibility, MOFs have been widely used in hydrogen/methane storage, catalysis, biological imaging and sensing, drug delivery, desalination, gas separation, magnetic and electronic devices, nonlinear optics, water vapor capture, etc. Notably, with the rapid development of synthetic methods and surface functionalization strategies, smart MOF‐based nanocomposites with advanced bio‐related properties have been designed and fabricated to meet the growing demands of MOF materials for biomedical applications. This work outlines the synthesis and functionalization and the recent advances of MOFs in biomedical fields, including cargo (drugs, nucleic acids, proteins, and dyes) delivery for cancer therapy, bioimaging, antimicrobial, biosensing, and biocatalysis. The prospects and challenges in the field of MOF‐based biomedical materials are also discussed.

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Section: Biomedical Applications Of Mofsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Metal–Organic Frameworks for Biomedical Applications

Yang

2020

Small

528

351

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“…In 2009, the first electrochemical PAD was developed by Dungchai et al [392]. Since then, electrochemical PADs aroused wide interest because of easy use, uncomplicated equipment, cost-efficient and rapid analysis, portable potentiostats, renewable sensing interface and well-known electrochemical signaling methods [393]. The fabrication processes are divided into three steps roughly: Firstly, suitable electrodes were chosen as reference electrode, working electrode and counter electrode, respectively.…”

Section: Paper-based Devicementioning

confidence: 99%

Nucleic Acids Analysis

Zhao

Zuo

et al. 2020

Sci. China Chem.

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In recent years, multi-modal entity linking (MEL) has garnered increasing attention in the research community due to its significance in numerous multi-modal applications. Video, as a popular means of information transmission, has become prevalent in people's daily lives. However, most existing MEL methods primarily focus on linking textual and visual mentions or offline videos's mentions to entities in multi-modal knowledge bases, with limited efforts devoted to linking mentions within online video content. In this paper, we propose a task called Online Video Entity Linking (OVEL), aiming to establish connections between mentions in online videos and a knowledge base with high accuracy and timeliness. To facilitate the research works of OVEL, we specifically concentrate on live delivery scenarios and construct a live delivery entity linking dataset called LIVE. Besides, we propose an evaluation metric that considers timelessness, robustness, and accuracy. Furthermore, to effectively handle OVEL task, we leverage a memory block managed by a Large Language Model and retrieve entity candidates from the knowledge base to augment LLM performance on memory management. The experimental results prove the effectiveness and efficiency of our method.

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“…Increasing efforts have recently been invested on developing new methods for quantitative sensing of miRNA biomarkers in complex biological samples without the need for manual, time-consuming sample treatment [21][22][23]. Because of its unique advantages for bioanalysis, microfluidic technology has been adapted to leverage various miRNA assays, such as digital RT-PCR for miRNA expression analysis and single cell analysis [24], sandwich hybridization assay coupled with dendritic amplification [25], encoded hydrogel particles or on-chip gel microreactors for multiplexed miRNA detection [26][27][28], and electrochemical miRNA sensing [29][30][31]. It is obvious that the majority of these microfluidic methods integrate miRNA capture by hybridization which affords sensitive and specific detection of miRNAs in complex biological samples, including crude cell lysates [28], human plasma/ serum [27], and human cerebrospinal fluid [29].…”

Section: Introductionmentioning

confidence: 99%

Microfluidic exponential rolling circle amplification for sensitive microRNA detection directly from biological samples

Cao

Zhou

Zeng

2019

Sensors and Actuators B: Chemical

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There is an urgent need of sensitive bioanalytical platforms for sensitive and precise quantification of low-abundance microRNA targets in complex biological samples, including liquid biopsies of tumors. Many of current miRNA biosensing methods require laborious sample pretreatment procedures, including extraction of total RNA, which largely limits their biomedical and clinical applications. Herein we developed an integrated Microfluidic Exponential Rolling Circle Amplification (MERCA) platform for sensitive and specific detection of microRNAs directly in minimally processed samples. The MERCA system integrates and streamlines solid-phase miRNA isolation, miRNA-adapter ligation, and a dualphase exponential rolling circle amplification (eRCA) assay in one analytical workflow. By marrying the advantages of microfluidics in leveraging bioassay performance with the high sensitivity of eRCA, our method affords a remarkably low limit of detection at <10 zeptomole levels, with the ability to discriminate singlenucleotide difference. Using the MERCA chip, we demonstrated quantitative detection of miRNAs in total RNA, raw cell lysate, and cellderived exosomes. Comparing with the parallel TaqMan RT-qPCR measurements verified the adaptability of the MERCA system for detection of miRNA biomarkers in complex biological materials. In particular, high sensitivity of our method enables direct detection of low-level exosomal miRNAs in as few as 2 × 10 6 exosomes. Such analytical capability immediately addresses the unmet challenge in sample consumption, a key setback in clinical development of exosome-based liquid biopsies. Therefore, the MERCA would provide a useful platform to facilitate miRNA analysis in broad biological and clinical applications.

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Ultrasensitive electrochemical paper-based biosensor for microRNA via strand displacement reaction and metal-organic frameworks

Cited by 121 publications

References 55 publications

Metal–Organic Frameworks for Biomedical Applications

Metal–Organic Frameworks for Biomedical Applications

Nucleic Acids Analysis

Microfluidic exponential rolling circle amplification for sensitive microRNA detection directly from biological samples

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