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Gas Chromatography: Types of Detectors-II01:19

Gas Chromatography: Types of Detectors-II

In gas chromatography, different detectors are employed to meet specific analytical needs. These detectors are often categorized based on their detection mechanisms and the types of compounds they are best suited to analyze. Thermal Conductivity Detectors (TCD), Flame Ionization Detectors (FID), and Electron Capture Detectors (ECD) represent common categories, each with unique operating principles and applications. However, beyond these, several other detectors are designed for more specialized...

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Updated: May 28, 2026

Fabrication of Flexible Image Sensor Based on Lateral NIPIN Phototransistors
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Published on: June 23, 2018

Ni-Doped SnO2 Gas Sensor Array Enabled High-Randomness PUF for Hardware Security Applications.

Zexin Ji1, Xiaowei Zhang1, Zhanbo Chen1

  • 1Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo 315211, China.

Micromachines
|May 27, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a novel lightweight gas sensor PUF (GS-PUF) for IoT security. The GS-PUF leverages inherent variations in Ni-doped SnO2 gas sensors to generate secure, unclonable keys, enhancing device security.

Keywords:
Ni-doped SnO2 nano-sensor arraygas sensor PUF (GS-PUF)physical unclonable function (PUF)random resistance balancing algorithm

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Area of Science:

  • Materials Science
  • Electrical Engineering
  • Computer Science

Background:

  • Conventional silicon-circuit-based Physical Unclonable Functions (PUFs) in Internet of Things (IoT) systems face challenges with circuit overhead, design complexity, and system integration.
  • Growing security demands for IoT sensor nodes necessitate innovative and efficient PUF solutions.

Purpose of the Study:

  • To propose and validate a lightweight gas sensor PUF (GS-PUF) design for enhanced security in IoT sensor nodes.
  • To utilize intrinsic randomness from gas sensor fabrication and gas-material interactions as entropy sources for PUF response generation.

Main Methods:

  • Fabrication of Ni-doped SnO2 nanomaterials using electrostatic spray deposition (ESD).
  • Construction of an indirectly heated gas sensor array to improve sensitivity and stability.
  • Implementation of a random resistance balancing algorithm based on multi-sensor combinational comparison for generating 128-bit PUF responses.

Main Results:

  • Achieved high information entropy (>0.99) and well-balanced output bit distribution (49.88% '1', 50.12% '0').
  • Demonstrated excellent inter-device uniqueness (49.8%) and passed all NIST randomness tests with high statistical confidence (min p-value > 0.0368).
  • Exhibited long-term PUF response reliability above 96% and offered a lightweight, integrated sensing-security approach for IoT.

Conclusions:

  • The proposed GS-PUF effectively reuses intrinsic gas sensor variations for robust security, overcoming limitations of traditional silicon PUFs.
  • This method provides a lightweight and integrated solution for securing IoT sensor nodes without additional dedicated PUF circuits.
  • The GS-PUF demonstrates superior randomness, uniqueness, and reliability, making it a promising candidate for IoT security applications.