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Related Concept Videos

Masking and Demasking Agents01:19

Masking and Demasking Agents

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EDTA titrations may necessitate masking and demasking agents to temporarily protect a particular metal ion in a mixture from the EDTA reaction. These agents facilitate the sequential analysis of the metal ions by forming stable complexes with some—but not all—metal ions during certain steps.
There are many masking agents, such as cyanide, fluoride, triethanolamine, thiourea, and 2,3-bis(sulfanyl)propan-1-ol (formerly 2,3-dimercapto-1-propanol), with the masking agent chosen based on...
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Related Experiment Video

Updated: Oct 30, 2025

Determining Viral Disinfection Efficacy of Hot Water Laundering
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Intelligent anti-epidemic mask based on KF and ECF fusion algorithm.

Kun Xia1, Xiang Li1, Xueyong Li1

  • 1Department of Electrical Engineering University of Shanghai for Science and Technology Shanghai People's Republic of China.

Electronics Letters
|July 5, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a smart mask with an optimized control system and filtering algorithm to combat pollution and COVID-19. The design integrates sensors and UV disinfection for effective health protection.

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Area of Science:

  • Engineering
  • Environmental Science
  • Public Health

Background:

  • Rising concerns over environmental pollution and the COVID-19 pandemic necessitate advanced personal protective equipment.
  • Existing mask technologies often lack integrated environmental monitoring and active protection mechanisms.

Purpose of the Study:

  • To design and validate a novel smart mask with an intelligent control system for enhanced health protection.
  • To develop and implement an improved filtering fusion algorithm for accurate behavior characteristic value calculation.
  • To optimize the mask's structural design using fluid mechanics simulation.

Main Methods:

  • Utilized Kalman filter (KF) for raw sensor data processing, followed by complementary filtering and data fusion to determine body attitude angles.
  • Integrated attitude angle, acceleration, and blood oxygen concentration data to derive behavior characteristic values.
  • Implemented a double closed-loop control system linking behavior characteristics to an oxygen supply fan, optimized via fluid mechanics simulation.

Main Results:

  • The filtering fusion algorithm effectively processed sensor data to determine body attitude and behavior characteristics.
  • The closed-loop control system dynamically adjusted oxygen supply based on user behavior and physiological data.
  • Fluid mechanics simulations informed structural optimization, enhancing the mask's protective capabilities.

Conclusions:

  • The developed smart mask, featuring a replaceable filter, intelligent control, and UV disinfection, offers effective protection against environmental pollutants and airborne pathogens.
  • The proposed filtering fusion algorithm and control strategy represent a significant advancement in smart mask technology.
  • Experimental validation confirms the system's efficacy in safeguarding user health.