Prediction of firmness parameters of tomatoes by portable visible and near-infrared spectroscopy

Prediction of firmness parameters of tomatoes by portable visible and near-infrared spectroscopy Firmness is an important parameter for determining maturity/ripeness and postharvest processing quality of tomatoes. This paper reports on the prediction of different fruit firmness parameters of tomatoes by using visible and near-infrared spectroscopy. Interactance spectra were taken from 600 freshly harvested tomatoes of six maturity stages, using two portable spectrometers which cover the two commonly used spectral regions, i.e., the visible and short-wave near-infrared (Vis/SWNIR) range of 400–1100 nm and the near-infrared (NIR) range of 900–1700 nm, respectively. Different firmness parameters for the tomatoes were measured using acoustic, impact, compression and puncture tests. Partial least squares (PLS) regression models, coupled with four preprocessing methods (i.e., original, logarithmic, autoscale, and logarithmic plus autoscale), were developed to predict the firmness parameters of tomato fruit. The PLS models gave better predictions of impact firmness, compression area and puncture slope for the tomato fruit, with the correlation coefficients for prediction of 0.899, 0.917 and 0.935 for Vis/SWNIR, and 0.846, 0.831 and 0.853 for NIR. Overall, autoscale preprocessing performed better for both Vis/SWNIR and NIR spectra. Visible and near-infrared spectroscopy in interactance mode can be useful for nondestructive assessment of tomato firmness measured by both destructive and nondestructive reference methods. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Food Engineering Elsevier

Prediction of firmness parameters of tomatoes by portable visible and near-infrared spectroscopy

Loading next page...
 
/lp/elsevier/prediction-of-firmness-parameters-of-tomatoes-by-portable-visible-and-kuPu8wUghR
Publisher
Elsevier
Copyright
Copyright © 2017 Elsevier Ltd
ISSN
0260-8774
D.O.I.
10.1016/j.jfoodeng.2017.11.030
Publisher site
See Article on Publisher Site

Abstract

Firmness is an important parameter for determining maturity/ripeness and postharvest processing quality of tomatoes. This paper reports on the prediction of different fruit firmness parameters of tomatoes by using visible and near-infrared spectroscopy. Interactance spectra were taken from 600 freshly harvested tomatoes of six maturity stages, using two portable spectrometers which cover the two commonly used spectral regions, i.e., the visible and short-wave near-infrared (Vis/SWNIR) range of 400–1100 nm and the near-infrared (NIR) range of 900–1700 nm, respectively. Different firmness parameters for the tomatoes were measured using acoustic, impact, compression and puncture tests. Partial least squares (PLS) regression models, coupled with four preprocessing methods (i.e., original, logarithmic, autoscale, and logarithmic plus autoscale), were developed to predict the firmness parameters of tomato fruit. The PLS models gave better predictions of impact firmness, compression area and puncture slope for the tomato fruit, with the correlation coefficients for prediction of 0.899, 0.917 and 0.935 for Vis/SWNIR, and 0.846, 0.831 and 0.853 for NIR. Overall, autoscale preprocessing performed better for both Vis/SWNIR and NIR spectra. Visible and near-infrared spectroscopy in interactance mode can be useful for nondestructive assessment of tomato firmness measured by both destructive and nondestructive reference methods.

Journal

Journal of Food EngineeringElsevier

Published: Apr 1, 2018

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create lists to
organize your research

Export lists, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off