Detection of meat-borne trimethylamine based on nanoporous colorimetric sensor arrays

Food Chem. 2016 Apr 15;197(Pt A):930-6. doi: 10.1016/j.foodchem.2015.11.041. Epub 2015 Nov 11.

Abstract

Trimethylamine (TMA) is a key measurement indicator for meat spoilage. In order to develop simple, cheap, and sensitive sensors for TMA detection, a nanoporous colorimetric sensor array (NCSA) was developed. A sol-gel method has been used to obtain TiO2 nanoporous film as substrate material to improve the sensitivity and stability of the CSA. The sensor enabled the visual detection of TMA gas from the permissible exposure limits (PEL) 10 ppm to 60 ppb concentrations with significant response. Principal component analysis (PCA) was used to characterize the functional relationship between the color difference data and TMA concentrations. Furthermore, the NCSA was used to predict the presence of TMA in Yao-meat. A partial least square (PLS) prediction model was obtained with the correlation coefficients of 0.896 and 0.837 in calibration and prediction sets, respectively. This research suggested that the NCSA offers a useful technology for quality evaluation of TMA in meat.

Keywords: Chinese traditional salted pork in jelly; Nanoporous colorimetric sensor array; Sol–gel; TiO(2); Trimethylamine.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Colorimetry / methods*
  • Food Analysis / methods*
  • Food Contamination / analysis*
  • Least-Squares Analysis
  • Limit of Detection
  • Meat / analysis*
  • Methylamines / analysis*
  • Models, Theoretical
  • Nanopores*
  • Principal Component Analysis
  • Titanium / chemistry*

Substances

  • Methylamines
  • titanium dioxide
  • Titanium
  • trimethylamine