基于四电极双信号免疫传感器的破伤风毒素现场检测，结合非再生同步的共生物标志物追踪

数据集获取（Figshare）

• 源站标题：<b>Point-of-care detection of tetanus toxin based on a four-electrode dual-signal immunosensor with non-regenerative and synchronous tracking of co-biomarkers</b>
• DOI：10.6084/m9.figshare.30653669.v6
• 发布日期：2026-03-22
• 文件数：4 个
• 文件总体积：338.03 MB
• 源站页面：https://figshare.com/articles/dataset/Dual-Working_Electrode_Electrochemical_Immunosensor_with_Au-B-N-Codoped_Graphene_for_Ultrasensitive_Detection_of_Tetanus_Toxin_in_Human_Blood/30653669

命令行下载

curl -L -o "Video.rar" "https://ndownloader.figshare.com/files/59680004"
curl -L -o "Main figure source file.rar" "https://ndownloader.figshare.com/files/62995555"
curl -L -o "Supplemenmtary drawing files.rar" "https://ndownloader.figshare.com/files/62995558"
curl -L -o "Source data.rar" "https://ndownloader.figshare.com/files/62995930"

文件清单

• Video.rar（207.83 MB）
• Main figure source file.rar（61.67 MB）
• Supplemenmtary drawing files.rar（33.63 MB）
• Source data.rar（34.90 MB）

文件总体积 338.03 MB（源站 API 实测）。

数据加载示例（图像类）

from PIL import Image
import glob, os

files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)

# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path)  # 要求 子目录=类别

目录组织与标注格式以源站说明和下载后实际文件为准。

数据说明

Tetanus is a lethal bacterial infection; however, gold standard diagnostic methods and blood biomarkers have not yet been established. In this study, a label-free dual-working-electrode electrochemical immunosensor was developed for the detection of tetanus neurotoxin (TeNT). The sensor was designed as a four-electrode system with two vertically grown gold-boron-nitrogen codoped graphene (Au-BNG) spiral working electrodes. On the Au-BNG-based sensor, a response signal was generated based on the specific immune binding between monoclonal tetanus antibodies and TeNTs, and the dual-working electrodes synchronously tracked the response signal with a sensitivity deviation of ~0.7%. The dual-working electrode TeNT immunosensor had a detection range of 0.09 fg mL-1 to 300 ng mL-1 and an average detection limit of 0.012 fg mL-1. The metal enzyme antibody immobilization effect, adsorption and rapid desorption of the probe molecules, and high electrocatalytic activity of the signal-amplification platform composed of vertically grown Au-BNG nanosheets contributed to the high TeNT sensitivity of the sensor. The immunosensor had a recovery rate of 83%‒104% for detecting TeNT in serum and quantitatively detected TeNT levels in the sera of several patients. This sensor exhibited excellent specificity, reproducibility, and long-term stability, and demonstrated the ability to simultaneously detect two targets and continuously measure multiple times. Furthermore, the dual-working electrode immunosensor was designed as a test box equipped with a mini-incubator and real-time analysis software, with the potential to serve as a portable tool for tetanus screening.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.30653669.v6（source: https://figshare.com/articles/dataset/Dual-Working_Electrode_Electrochemical_Immunosensor_with_Au-B-N-Codoped_Graphene_for_Ultrasensitive_Detection_of_Tetanus_Toxin_in_Human_Blood/30653669）。