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Impact of Pellet Thickness on Quantitative Terahertz Spectroscopy of Solid Samples in a Polyethylene Matrix

Overview of attention for article published in Analytical Chemistry, March 2013
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Article details
Title
Impact of Pellet Thickness on Quantitative Terahertz Spectroscopy of Solid Samples in a Polyethylene Matrix
Published in
Analytical Chemistry, March 2013
DOI 10.1021/ac302017d
Pubmed ID
Authors
Abstract

Pellets composed of different weight-percent (wt-%) of lactose within a polyethylene (PE) matrix are used to examine how the physical thickness of solid samples impact analytical measurements performed over terahertz (THz) frequencies when using time-domain THz spectroscopy. Results indicate that the thickness of each pellet depends on the mass and physical properties of the individual components that comprise the pellet. Thickness of mixture pellets depends on the porosity of the individual pellet components. Porosity measurements presented here for PE and lactose give values of 25.6 ± 0.3 and 14.5 ± 0.1, respectively, which indicate that more air is trapped within the compressed PE matrix compared to that for lactose. This difference in porosity creates different pellet thicknesses for pellets of the same nominal mass but with different relative amounts of PE and lactose. For this binary matrix, the thickness of each pellet is found to be a linear combination of the compressed densities of the individual components. Analysis of the time-domain THz spectra reveals that thinner samples are confounded by a fringe pattern observed in the frequency-domain spectra. This fringe pattern is created by an etalon corresponding to the air/pellet interfaces for the sample in the optical path. Spectra collected from thicker pellets are confounded by a sloping baseline caused by scattering effects within the pellet matrix. The quantitative impact of pellet thickness is determined by comparing the mean standard error of calibration (MSEC) and mean standard error of prediction (MSEP) for a set of leave-three-out cross validation multivariate calibration models based on the partial least-squares (PLS) algorithm. Results indicate that PLS models are capable of analytical measurements with MSEC and MSEP values between 0.04 and 0.20 wt-%. Analysis of spectral variance captured within the corresponding spectral loadings for each model indicates that spectral variance is lowest for the 300 mg samples where the impact of scattering is minimal under conditions when the sample etalon is nonexistent.

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The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Korea, Republic of 1 2%
Hong Kong 1 2%
Germany 1 2%
Brazil 1 2%
Unknown 57 93%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 13 21%
Student > Ph. D. Student 12 20%
Student > Bachelor 7 11%
Student > Master 6 10%
Student > Doctoral Student 5 8%
Other 7 11%
Unknown 11 18%
Readers by discipline
Readers by discipline Count As %
Physics and Astronomy 12 20%
Chemistry 12 20%
Materials Science 6 10%
Agricultural and Biological Sciences 5 8%
Engineering 5 8%
Other 5 8%
Unknown 16 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 March 2013.
All research outputs
#20,185,720
of 22,701,287 outputs
Outputs from Analytical Chemistry
#24,241
of 26,373 outputs
Outputs of similar age
#171,709
of 195,964 outputs
Outputs of similar age from Analytical Chemistry
#175
of 232 outputs
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So far Altmetric has tracked 26,373 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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