Application of Electronic Nose to Monitor the Quality and Ripening Stages of Papaya During Postharvest Storage

Electronic noses (EN) are recently being explored for their application in postharvest quality monitoring. In this study, EN was used to assess different papaya ripening stages (days 1, 3, and 5 postharvest) through odor profile changes. Case-Based Reasoning classification analyzed EN sensor responses, showing 84.25% similarity between days 1 and 3, 82.81% between days 1 and 5, and 94.19% between days 3 and 5, all below 98%, indicating significant differences in volatile profiles. Gas chromatography–mass spectrometry identified specific volatile compounds for each day, such as vinyl butyrate and allyl propionate (day 1), acetone, tridecane (day 3), and cyclobutanol, oxalic acid (day 5). The sensor values showed strong correlations with physiochemical changes during ripening (r2 = 0.845 for weight, 0.943 for titratable acidity, 0.883 for total soluble solids, and −0.943 for chromaticity). These findings demonstrate EN’s promising potential as a reliable, nondestructive tool for distinguishing papaya ripeness levels during postharvest storage.

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Publication Details

Journal
ACS Food Science & Technology
Published
2024-10-16
DOI
https://doi.org/10.1021/acsfoodscitech.4c00140
Citations
1
Primary Topic
Banana Cultivation and Research
Type
article
Field-Weighted Citation Impact
0.60

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article

Application of Electronic Nose to Monitor the Quality and Ripening Stages of Papaya During Postharvest Storage

Asgar Ali, Ayesha Ashraf Khan, Guang Heng Tan, Yasmeen Siddiqui
1 citations
ACS Food Science & Technology
Banana Cultivation and Research
0.60
article

Application of Electronic Nose to Monitor the Quality and Ripening Stages of Papaya During Postharvest Storage

Asgar Ali, Ayesha Ashraf Khan, Guang Heng Tan, Yasmeen Siddiqui
article en
1 citations

Abstract

Electronic noses (EN) are recently being explored for their application in postharvest quality monitoring. In this study, EN was used to assess different papaya ripening stages (days 1, 3, and 5 postharvest) through odor profile changes. Case-Based Reasoning classification analyzed EN sensor responses, showing 84.25% similarity between days 1 and 3, 82.81% between days 1 and 5, and 94.19% between days 3 and 5, all below 98%, indicating significant differences in volatile profiles. Gas chromatography–mass spectrometry identified specific volatile compounds for each day, such as vinyl butyrate and allyl propionate (day 1), acetone, tridecane (day 3), and cyclobutanol, oxalic acid (day 5). The sensor values showed strong correlations with physiochemical changes during ripening (r2 = 0.845 for weight, 0.943 for titratable acidity, 0.883 for total soluble solids, and −0.943 for chromaticity). These findings demonstrate EN’s promising potential as a reliable, nondestructive tool for distinguishing papaya ripeness levels during postharvest storage.

ACS Food Science & TechnologyVol. 4(11)
University of Nottingham Malaysia Campus (MY), The University of Western Australia (AU), King Faisal University (SA)
University of Nottingham, Ministry of Higher Education, Malaysia
Openalex Percentile: Top 21%
Banana Cultivation and Research
0.60
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Application of Electronic Nose to Monitor the Quality and Ripening Stages of Papaya During Postharvest Storage — Asgar Ali, Ayesha Ashraf Khan, et al. · ACS Food Science & Technology (2024) | TGRS Research Map | TGRS