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Sensors
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In Situ Assesment Based on NIRS Sensor
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In Situ Assesment Based on NIRS Sensor

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".

Deadline for manuscript submissions: closed (30 November 2022)

Special Issue Editors

Prof. Dr. Dolores Pérez Marín

E-Mail Website
Guest Editor
Department of Animal Production, University of Cordoba, Campus of Rabanales, 14071 Córdoba, Spain
Interests: NIR spectroscopy; in situ analysis; non linear processing methods; food integrity; food authentication
Prof. Dr. María-Teresa Sánchez

E-Mail Website
Guest Editor
Department of Bromatology and Food Technology, University of Cordoba, Campus of Rabanales, 14071 Córdoba, Spain
Interests: NIR spectroscopy; food engineering; food processing; posthavest technology; refrigeration; fruits; vegetables; quality; safety

Special Issue Information

Dear Colleagues,

Near-Infrared reflectance spectroscopy (NIRS) shows considerable promise for the non-destructive analysis of many products, including applications in food, pharmaceutical, chemical, or medical issues, and is ideally suited to the requirements of the producers and the industry for in-situ and on-line measurements. NIR spectra combined with data analytics offer, for the first time, to provide cost-effective, added-value solutions to a range of product problems as well as, concurrently, opportunities for better understanding their production processes and ingredients. Studies dealing with in-situ and on-line analysis will be emphasized. Sophisticated conditions for applications on industrial scale as well as the evaluation of different construction designs of NIR spectrometers for in-situ and on-line analysis will be taken into account.

Prof. Dr. Dolores Pérez Marín
Prof. Dr. María-Teresa Sánchez
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • NIR spectroscopy
  • In-situ analysis
  • On-line analysis
  • Quality and safety
  • Authentication and frauds
  • Effective control systems
  • Labelling
  • Food for specific groups
  • Medical issues
  • Quality of tablets, chemical reactions, fermentations, etc
  • Production requirements

Published Papers (1 paper)

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Research

22 pages, 2787 KiB  
Article
Non-Destructive Soluble Solids Content Determination for ‘Rocha’ Pear Based on VIS-SWNIR Spectroscopy under ‘Real World’ Sorting Facility Conditions
by Dário Passos, Daniela Rodrigues, Ana Margarida Cavaco, Maria Dulce Antunes and Rui Guerra
Sensors 2019, 19(23), 5165; https://doi.org/10.3390/s19235165 - 26 Nov 2019
Cited by 10 | Viewed by 2997
Abstract
In this paper we report a method to determine the soluble solids content (SSC) of ‘Rocha’ pear (Pyrus communis L. cv. Rocha) based on their short-wave NIR reflectance spectra (500–1100 nm) measured in conditions similar to those found in packinghouse fruit sorting [...] Read more.
In this paper we report a method to determine the soluble solids content (SSC) of ‘Rocha’ pear (Pyrus communis L. cv. Rocha) based on their short-wave NIR reflectance spectra (500–1100 nm) measured in conditions similar to those found in packinghouse fruit sorting facilities. We obtained 3300 reflectance spectra from pears acquired from different lots, producers and with diverse storage times and ripening stages. The macroscopic properties of the pears, such as size, temperature and SSC were measured under controlled laboratory conditions. For the spectral analysis, we implemented a computational pipeline that incorporates multiple pre-processing techniques including a feature selection procedure, various multivariate regression models and three different validation strategies. This benchmark allowed us to find the best model/preproccesing procedure for SSC prediction from our data. From the several calibration models tested, we have found that Support Vector Machines provides the best predictions metrics with an RMSEP of around 0.82 ∘ Brix and 1.09 ∘ Brix for internal and external validation strategies respectively. The latter validation was implemented to assess the prediction accuracy of this calibration method under more ‘real world-like’ conditions. We also show that incorporating information about the fruit temperature and size to the calibration models improves SSC predictability. Our results indicate that the methodology presented here could be implemented in existing packinghouse facilities for single fruit SSC characterization. Full article
(This article belongs to the Special Issue In Situ Assesment Based on NIRS Sensor)
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