Chapter 9: Carbon Nanotube Sensing in Food Safety and Quality Analysis

Raghid Najjar, Joseph R. Nalbach, Wei Xue

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The unique physical and structural properties of carbon nanotubes (CNTs) have made them a powerful sensing material. CNTs exhibit excellent adsorption capabilities due to their large surface area and available bonding sites for other molecules. There has been increasing interest in using CNT-based sensors for food safety control based upon accurate detection of foodborne threats. These sensors can replace, or at least serve as a powerful alternative to, the existing sensing systems that often suffer from low sensitivity, poor specificity, low detection limit, long detection time and high costs. Here we provide a critical review on CNT sensors and their applications in food safety and quality analysis. Due to the wide variety of potential substances, the sensors are divided into different groups based upon the materials under detection. The critical information such as the sensor designs, sensing principles, material preparation processes and sensing experiments are summarized and discussed. The increased accuracy and effectiveness have made CNTs a promising sensing material for low-cost, portable and powerful sensors. With the intensive and continuous research in this field, it is anticipated that these sensors will become increasingly more useful in the food industry.

Original languageEnglish (US)
Title of host publicationFood Biosensors
EditorsXiaonan Lu
PublisherRoyal Society of Chemistry
Pages272-298
Number of pages27
Edition2
ISBN (Print)9781782623618, 9781782626640
DOIs
StatePublished - Jan 1 2017

Publication series

NameFood Chemistry, Function and Analysis
Number2
Volume2017-January
ISSN (Print)2398-0656
ISSN (Electronic)2398-0664

All Science Journal Classification (ASJC) codes

  • Analytical Chemistry
  • Food Science

Fingerprint Dive into the research topics of 'Chapter 9: Carbon Nanotube Sensing in Food Safety and Quality Analysis'. Together they form a unique fingerprint.

Cite this