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Quantification of Lycopene, β-Carotene, and Total Soluble Solids in Intact Red-Flesh Watermelon (Citrullus lanatus) Using On-Line Near-Infrared Spectroscopy

Overview of attention for article published in Sensors (14248220), April 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

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3 tweeters
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1 Facebook page

Citations

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19 Dimensions

Readers on

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42 Mendeley
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Title
Quantification of Lycopene, β-Carotene, and Total Soluble Solids in Intact Red-Flesh Watermelon (Citrullus lanatus) Using On-Line Near-Infrared Spectroscopy
Published in
Sensors (14248220), April 2017
DOI 10.3390/s17040746
Pubmed ID
Authors

Elena Tamburini, Stefania Costa, Irene Rugiero, Paola Pedrini, Maria Marchetti

Abstract

A great interest has recently been focused on lycopene and β-carotene, because of their antioxidant action in the organism. Red-flesh watermelon is one of the main sources of lycopene as the most abundant carotenoid. The use of near-infrared spectroscopy (NIRS) in post-harvesting has permitted us to rapidly quantify lycopene, β-carotene, and total soluble solids (TSS) on single intact fruits. Watermelons, harvested in 2013-2015, were submitted to near-infrared (NIR) radiation while being transported along a conveyor belt system, stationary and in movement, and at different positions on the belt. Eight hundred spectra from 100 samples were collected as calibration set in the 900-1700 nm interval. Calibration models were performed using partial least squares (PLS) regression on pre-treated spectra (derivatives and SNV) in the ranges 2.65-151.75 mg/kg (lycopene), 0.19-9.39 mg/kg (β-carotene), and 5.3%-13.7% (TSS). External validation was carried out with 35 new samples and on 35 spectra. The PLS models for intact watermelon could predict lycopene with R² = 0.877 and SECV = 15.68 mg/kg, β-carotene with R² = 0.822 and SECV = 0.81 mg/kg, and TSS with R² = 0.836 and SECV = 0.8%. External validation has confirmed predictive ability with R² = 0.805 and RMSEP = 16.19 mg/kg for lycopene, R2 = 0.737 and RMSEP = 0.96 mg/kg for β-carotene, and R² = 0.707 and RMSEP = 1.4% for TSS. The results allow for the market valorization of fruits.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 24%
Researcher 5 12%
Student > Bachelor 5 12%
Other 3 7%
Student > Ph. D. Student 3 7%
Other 7 17%
Unknown 9 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 24%
Chemistry 3 7%
Biochemistry, Genetics and Molecular Biology 2 5%
Physics and Astronomy 2 5%
Engineering 2 5%
Other 10 24%
Unknown 13 31%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 17 April 2017.
All research outputs
#4,790,551
of 9,727,924 outputs
Outputs from Sensors (14248220)
#1,198
of 4,183 outputs
Outputs of similar age
#120,724
of 264,029 outputs
Outputs of similar age from Sensors (14248220)
#61
of 617 outputs
Altmetric has tracked 9,727,924 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,183 research outputs from this source. They receive a mean Attention Score of 2.3. This one has gotten more attention than average, scoring higher than 68% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 264,029 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 617 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.