Journal list menu
Export Citations
ISSUE INFORMATION
RESEARCH ARTICLES
Photoinitiators use in printed baby bibs and their migration into Tenax® by gas chromatography–mass spectrometry
- Pages: 203-210
- First Published: 11 December 2020
Compliance of baby bibs with the European and Swiss legislation should be monitored. Market surveillance, monitoring bibs composition, migration and the use of GMP by industry seems to need reinforcement. Studies of specific substances found are required; in particular, substances from printing inks such as photoinitiators and others are of great interest.
Fabrication of natural colorimetric indicators for monitoring freshness of ready-to-cook idli batter
- Pages: 211-218
- First Published: 06 December 2020
The impact of impurities on the mechanical properties of recycled polyethylene
- Pages: 219-228
- First Published: 23 December 2020
Experimental and finite element simulated box compression tests on paperboard packages at different moisture levels
- Pages: 229-243
- First Published: 06 January 2021
Finite element (FE) simulations of box compression of paperboard packages were performed and compared with experiments at different moisture levels. The input parameters for the FE model were measured at 50% RH and estimated at other moisture levels utilizing a linear relation, previously established by the authors. The result shows that it is possible to predict the BCT value and the linear stiffness response prior to the peak at any moisture level in the investigated moisture range.
An evaluation of selected ion flow tube mass spectrometry for rapid instrumental determination of paper type, origin and sensory attributes
- Pages: 245-260
- First Published: 27 December 2020
Selected ion flow tube mass spectrometry (SIFT-MS) has potential to rapidly screen paper samples for both sensory and chemical composition attributes via analysis of volatile emissions. Chemical analysis with multivariate statistical processing exhibited near-perfect classification of fibre type and mill of origin. Rapid instrumental prediction of two human sensory attributes (odour intensity rating and odour note) shows promise by combining sensory and instrumental results using multivariate statistical analysis.