journal article·2017-01

Multi‐Parametric Sensing Platforms Based on Nanoparticles

Meital Segev‐Bar, Nadav Bachar, Yaniv Wolf, Ben Ukrainsky, Lior Sarraf, Hossam Haick

Advanced Materials Technologies· Volume 2· Issue 1
Publisher page

Abstract

Multi‐parametric sensing platforms offer the possibility to measure simultaneously several stimuli, and potentially to differentiate between the different signals. They have advantages in fields that include wearable systems, humanoid robotics, structural health monitoring and precision agriculture, since a complex stimuli from the environment is usually an integrated component in these examples. In the current progress report, we present and discuss new avenues in nanoparticle‐based multi‐parametric sensing platforms for the detection, classification and separation of common stimuli, e.g., temperature, humidity, strain/pressure and volatile organic compounds (VOCs). New data involving multi‐parametric sensing with nanoparticle‐based sensors are given for each topic. Future prospects are discussed.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced Chemical Sensor Technologies · Gas Sensing Nanomaterials and Sensors · Analytical Chemistry and Sensors

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

The Department of Chemical Engineering and The Russell Berrie Nanotechnology Institute Technion – Israel Institute of Technology Haifa 3200003 Israel

Funding

Bill and Melinda Gates Foundation

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