Literature DB >> 26396317

Design and develop a nondestructive infrared spectroscopy instrument for assessment of mango (Mangifera indica) quality.

Basem Abu Izneid1, M I Fadhel2, Tareq Al-Kharazi2, Malek Ali2, Souiyah Miloud2.   

Abstract

A portable infrared spectroscopy system has been designed and developed for assessment of quality of mango fruit. This paper describes the design and development of a fruit quality grading device using reflectance mode optical sensor. The experiment was conducted to obtain the best results from the system and the device was correlated according to the measured output. In the experiment, several samples of mango fruits have been monitored for six days to study the relation how fruit quality increases with time as fruit ripens. Between the unripe mango fruit and the ripest one, a range of 3.5 V to 4.2 V was measured by the developed system. The rate of quality increase was calculated as an average of 6.7 mV per day. These results were used to correlate the final hardware and software development of the device. The results demonstrate that, portable near infrared spectroscopy is feasible for evaluating mango quality non-destructively.

Entities:  

Keywords:  Automatic sorting of fruits; Mango quality; NIR spectroscopy; Nondestructive technique; Post harvest assessment

Year:  2012        PMID: 26396317      PMCID: PMC4571271          DOI: 10.1007/s13197-012-0880-z

Source DB:  PubMed          Journal:  J Food Sci Technol        ISSN: 0022-1155            Impact factor:   2.701


  2 in total

1.  Measurement of soluble solids content in watermelon by Vis/NIR diffuse transmittance technique.

Authors:  Hai-qing Tian; Yi-bin Ying; Hui-shan Lu; Xia-ping Fu; Hai-yan Yu
Journal:  J Zhejiang Univ Sci B       Date:  2007-02       Impact factor: 3.066

2.  Vis-NIR measurement of soluble solids in cherry and apricot by PLS regression and wavelength selection.

Authors:  P Carlini; R Massantini; F Mencarelli
Journal:  J Agric Food Chem       Date:  2000-11       Impact factor: 5.279

  2 in total
  2 in total

1.  Prediction of fatty acid composition of sunflower seeds by near-infrared reflectance spectroscopy.

Authors:  Murat Reis Akkaya
Journal:  J Food Sci Technol       Date:  2018-04-19       Impact factor: 2.701

2.  Rapid Determination of the Oil and Moisture Contents in Camellia gauchowensis Chang and Camellia semiserrata Chi Seeds Kernels by Near-infrared Reflectance Spectroscopy.

Authors:  Yingzhong Zhang; Liangbo Zhang; Jing Wang; Xuxiao Tang; Hong Wu; Minghuai Wang; Wu Zeng; Qihui Mo; Yongquan Li; Jianwei Li; Yijuan Huang; Baohua Xu; Mengyu Zhang
Journal:  Molecules       Date:  2018-09-12       Impact factor: 4.411

  2 in total

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