Literature DB >> 29660789

Evaluation of Chilling Injury in Mangoes Using Multispectral Imaging.

Norhashila Hashim1,2, Daniel I Onwude1,3, Muhamad Syafiq Osman1.   

Abstract

Commodities originating from tropical and subtropical climes are prone to chilling injury (CI). This injury could affect the quality and marketing potential of mango after harvest. This will later affect the quality of the produce and subsequent consumer acceptance. In this study, the appearance of CI symptoms in mango was evaluated non-destructively using multispectral imaging. The fruit were stored at 4 °C to induce CI and 12 °C to preserve the quality of the control samples for 4 days before they were taken out and stored at ambient temperature for 24 hr. Measurements using multispectral imaging and standard reference methods were conducted before and after storage. The performance of multispectral imaging was compared using standard reference properties including moisture content (MC), total soluble solids (TSS) content, firmness, pH, and color. Least square support vector machine (LS-SVM) combined with principal component analysis (PCA) were used to discriminate CI samples with those of control and before storage, respectively. The statistical results demonstrated significant changes in the reference quality properties of samples before and after storage. The results also revealed that multispectral parameters have a strong correlation with the reference parameters of L* , a* , TSS, and MC. The MC and L* were found to be the best reference parameters in identifying the severity of CI in mangoes. PCA and LS-SVM analysis indicated that the fruit were successfully classified into their categories, that is, before storage, control, and CI. This indicated that the multispectral imaging technique is feasible for detecting CI in mangoes during postharvest storage and processing. PRACTICAL APPLICATION: This paper demonstrates a fast, easy, and accurate method of identifying the effect of cold storage on mango, nondestructively. The method presented in this paper can be used industrially to efficiently differentiate different fruits from each other after low temperature storage.
© 2018 Institute of Food Technologists®.

Entities:  

Keywords:  chilling injury; fruit quality; mango; multispectral imaging; postharvest storage

Mesh:

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Year:  2018        PMID: 29660789     DOI: 10.1111/1750-3841.14127

Source DB:  PubMed          Journal:  J Food Sci        ISSN: 0022-1147            Impact factor:   3.167


  1 in total

1.  A novel ground truth multispectral image dataset with weight, anthocyanins, and Brix index measures of grape berries tested for its utility in machine learning pipelines.

Authors:  Pedro J Navarro; Leanne Miller; María Victoria Díaz-Galián; Alberto Gila-Navarro; Diego J Aguila; Marcos Egea-Cortines
Journal:  Gigascience       Date:  2022-06-14       Impact factor: 7.658

  1 in total

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