Chrome Extension
WeChat Mini Program
Use on ChatGLM

Nano-engineered Paper-Based Electrochemical Biosensors: Versatile Diagnostic Tools for Biomarker Detection

Coordination Chemistry Reviews(2025)

Busan Center

Cited 1|Views5
Abstract
After the COVID-19 pandemic, the demand for highly sensitive, miniaturized, non-destructive sensing of disease biomarkers has received significant attention. Nanomaterial-coated paper-based electrochemical biosensors were utilized to diagnose various disease biomarkers. Nanomaterials have contributed significantly to electrochemical biosensors advancements because they improve biosensing properties such as specificity, sensitivity, robustness, and reproducibility. Moreover, the viability of environmentally friendly paper-based electrochemical biosensors for the highly sensitive detection of target analytes in complicated samples has improved. Paper-based electrode (PE) substrates are desirable for lab-scale and large-scale manufacturing applications because they are inexpensive, do not require microfluidic pumps because electrolyte migration can be achieved through capillary action, can be stacked with reagents for reagent-less applications, and can achieve multiphase detection via origami-based approaches. Therefore, this review considers the properties of functional nanomaterials, such as the active surface area available for interactions, attachment of biorecognition species to the electrode via microporous capillary action, cellulose conductivity, and photochemical functional properties, and electrochemical properties of carbon-based conductive pastes that are widely used to print sensors onto paper substrates. The conclusions can be used to improve PE biosensors for biomedical research. Recent paper-based electrodes modified with different nanomaterials for detecting various biomarkers are discussed.
More
Translated text
Key words
Paper-based electrode,Nanomaterial,Biomarker,Conductive paste,Photoelectrochemical,Point-of-care device
求助PDF
上传PDF
Bibtex
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
  • Pretraining has recently greatly promoted the development of natural language processing (NLP)
  • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
  • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
  • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
  • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper

要点】:论文综述了纳米材料改性的纸基电化学生物传感器在生物标志物检测中的高灵敏度应用,强调了其在疾病诊断中的潜力及创新性。

方法】:文章通过分析纳米材料的功能性质,如活性表面积、生物识别物种的附着、纤维素导电性和光化学功能性质,以及碳基导电糊剂的电化学性质,来探讨纸基电极生物传感器的改进。

实验】:文章讨论了近期使用不同纳米材料改性的纸基电极在检测各种生物标志物中的应用,但未具体说明实验过程和数据集名称。