Latest Research on Post-Harvest Technology to Reduce Food Loss

A special issue of AgriEngineering (ISSN 2624-7402). This special issue belongs to the section "Pre and Post-Harvest Engineering in Agriculture".

Deadline for manuscript submissions: 31 October 2026 | Viewed by 1644

Special Issue Editor


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Guest Editor
Agricultural and Environmental Research Station, West Virginia State University, Institute, WV 25112, USA
Interests: biodegradable films; edible coatings; postharvest processing; shelf life extension of fruits and vegetables; functional foods; underutilized food sources; artificial intelligence

Special Issue Information

Dear Colleagues,

Do we need to grow more food to feed the estimated 9.8 billion people by 2050? We may not need to; about one-third of all foods, roughly 1.3 billion tons we produce, are never consumed. These are lost or wasted during harvesting, post-harvest handling, storage, processing, distribution, and consumption. Reductions in this postharvest loss would help ensure that everyone has enough to eat. Adopting suitable harvest practices, post-harvest processing and packaging, transportation, and storage practices could mitigate postharvest loss of fresh produce.

The quality of Fresh fruits and vegetables deteriorates rapidly after harvest due to the ripening process, weight loss, mechanical damage, and microbial contamination. Various strategies have been tested to slow down the degradation process or extend the shelf life, such as thermal, plasma, radiation, chemical, and biological treatments, nano-technology, modified and controlled atmosphere packaging, active biodegradable packaging, or edible coatings. Moreover, combining two or more technologies has been found to be beneficial. Artificial intelligence (AI) technology is an effective new means of achieving quality assessment, cold-chain monitoring, shelf life prediction, and optimizing supply chain management.

This Special Issue of AgriEngineering aims to present the latest research and innovation in postharvest technology targeting reduced food loss. This Special Issue welcomes various manuscript types, including original research papers, full-length review papers, mini-review papers, etc.

Dr. Ayesha Sarker
Guest Editor

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Keywords

  • postharvest treatments
  • postharvest processing
  • sustainable packaging
  • storage conditions
  • edible films/coatings
  • active food packaging
  • intelligent packaging
  • nano-technology
  • transportation
  • artificial intelligence

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Published Papers (3 papers)

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Research

24 pages, 3485 KiB  
Article
Effect of Natural Edible Oil Coatings and Storage Conditions on the Postharvest Quality of Bananas
by Laila Al-Yahyai, Rashid Al-Yahyai, Rhonda Janke, Mai Al-Dairi and Pankaj B. Pathare
AgriEngineering 2025, 7(7), 234; https://doi.org/10.3390/agriengineering7070234 - 12 Jul 2025
Viewed by 453
Abstract
Increasing the shelf-life of fruits and vegetables using edible natural substances after harvest is economically important and can be useful for human health. Postharvest techniques help maintain the quality of edible tissues resulting in extended marketing periods and reduced food waste. The edible [...] Read more.
Increasing the shelf-life of fruits and vegetables using edible natural substances after harvest is economically important and can be useful for human health. Postharvest techniques help maintain the quality of edible tissues resulting in extended marketing periods and reduced food waste. The edible coating on perishable commodities is a common technique used by the food industry during the postharvest supply chain. The objective of this research was to study the effect of edible oil to minimize the loss of postharvest physio-chemical and nutritional attributes of bananas. The study selected two banana cultivars (Musa, ‘Cavendish’ and ‘Milk’) to conduct this experiment, and two edible oils (olive oil (Olea europaea) and moringa oil (Moringa peregrina)) were applied as an edible coating under two different storage conditions (15 and 25 °C). The fruit’s physio-chemical properties including weight loss, firmness, color, total soluble solids (TSS), pH, titratable acidity (TA), TSS: TA ratio, and mineral content were assessed. The experiment lasted for 12 days. The physicochemical properties of the banana coated with olive and moringa oils were more controlled than the non-coated (control) banana under both storage temperatures (15 °C and 25 °C). Coated bananas with olive and moringa oils stored at 15 °C resulted in further inhibition in the ripening process. There was a decrease in weight loss, retained color, and firmness, and the changes in chemical parameters were slower in banana fruits during storage in the olive and moringa oil-coated bananas. Minerals were highly retained in coated Cavendish bananas. Overall, the coated samples visually maintained acceptable quality until the final day of storage. Our results indicated that olive and moringa oils in this study have the potential to extend the shelf-life and improve the physico-chemical quality of banana fruits. Full article
(This article belongs to the Special Issue Latest Research on Post-Harvest Technology to Reduce Food Loss)
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14 pages, 978 KiB  
Article
Physical Classification of Soybean Grains Based on Physicochemical Characterization Using Near-Infrared Spectroscopy
by Marisa Menezes Leal, Nairiane dos Santos Bilhalva, Rosana Santos de Moraes and Paulo Carteri Coradi
AgriEngineering 2025, 7(6), 194; https://doi.org/10.3390/agriengineering7060194 - 17 Jun 2025
Viewed by 414
Abstract
The study aimed to determine the physical and physicochemical properties of soybean grains using NIR spectroscopy coupled with multivariate data analysis. The experiment was carried out in two stages: first, individual characterization of defects and healthy grains; then, analyses of samples classified into [...] Read more.
The study aimed to determine the physical and physicochemical properties of soybean grains using NIR spectroscopy coupled with multivariate data analysis. The experiment was carried out in two stages: first, individual characterization of defects and healthy grains; then, analyses of samples classified into different types (type I, type II, basic standard, and out of type). The centesimal composition of the grains (crude protein, lipids, water content, crude fiber, starch, and ash) was determined by NIR spectroscopy, and the data were analyzed by ANOVA, Scott-Knott test, principal component analysis (PCA), k-means clustering, and Pearson correlation. The results showed significant variations between defects and commercial types in all the variables evaluated (p < 0.05), with an emphasis on germinated grains (higher protein content) and broken grains (higher fiber content). The PCA explained 66.6% of the total variance in the defect sets and 52.2% of the types, allowing the formation of groups defined by the clustering algorithms. Pearson correlations indicated important interactions between the chemical variables, such as the negative correlation between protein and crude fiber (r = −0.73) and between lipids and water content (r = −0.66). It is concluded that the NIR method combined with multivariate modeling allows for the rapid assessment of soybean grain quality in real time, optimizing, reducing waste in, and increasing the efficiency of post-harvest processes. Full article
(This article belongs to the Special Issue Latest Research on Post-Harvest Technology to Reduce Food Loss)
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20 pages, 2727 KiB  
Article
Mechanochemical Effects of High-Intensity Ultrasound on Dual Starch Modification of Mango Cotyledons
by Ramiro Torres-Gallo, Ricardo Andrade-Pizarro, Diego F. Tirado, Andrés Chávez-Salazar and Francisco J. Castellanos-Galeano
AgriEngineering 2025, 7(6), 190; https://doi.org/10.3390/agriengineering7060190 - 13 Jun 2025
Viewed by 462
Abstract
The starch modification of mango cotyledons with both single ultrasound (US) and dual (US followed by octenyl succinic anhydride, OSA) was optimized by response surface methodology (RSM). The mechanochemical effects of ultrasound on amylose content, particle size, and dual modification efficiency were assessed. [...] Read more.
The starch modification of mango cotyledons with both single ultrasound (US) and dual (US followed by octenyl succinic anhydride, OSA) was optimized by response surface methodology (RSM). The mechanochemical effects of ultrasound on amylose content, particle size, and dual modification efficiency were assessed. In addition, the structural, thermal, morphological, and functional properties were evaluated. After optimization with single US (41 min and 91% sonication intensity), sonication induced starch granule fragmentation, altering amorphous and partially crystalline regions, which increased amylose content (34%), reduced particle size (Dx50 = 12 μm), and modified granule surface morphology. The dual modification (the subsequent OSA reaction lasted 4.6 h under the same conditions) reached a degree of substitution of 0.02 and 81% efficiency, imparting amphiphilic properties to the starch. OSA groups were mainly incorporated into amorphous and surface regions, which decreased crystallinity, gelatinization temperature, and enthalpy. The synergistic effect of the modification with US and OSA in the dual modification significantly improved the solubility and swelling power of starch, resulting in better dispersion, functionality in aqueous systems, and chemical reactivity. These findings highlight the potential of dual modification to transform mango cotyledon starch into a versatile ingredient in the food industry as a thickener, a stabilizer in soups and sauces, an emulsifier, a carrier of bioactive and edible films; in the cosmetic industry as a gelling and absorbent agent; and in the pharmaceutical industry for the controlled release of drugs. Furthermore, valorizing mango cotyledons supports circular economy principles, promoting sustainable and value-added food product development. Full article
(This article belongs to the Special Issue Latest Research on Post-Harvest Technology to Reduce Food Loss)
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