Plasma chemical method of extending the apples shelf life
Notice bibliographique
Résumé
Article Details: Received: 2020-12-21 | Accepted: 2021-02-10 | Available online: 2021-09-30 https://doi.org/10.15414/afz.2021.24.03.202-205 The efficiency of using ozone and plasma chemical technology to reduce the concentration of ethylene impurities to extend the shelf life of apples has been studied. The ozone concentration was measured by sensors located in the experimental box. The ethylene concentration was measured with an ICA56 meter (in the experimental box) and monitored by sampling from the circulation lines of both boxes. The ICA56 meter use electrochemical sensor with ethylene resolution 0.2 ppm. This sensor have cross sensitivities for CO (40%), ethanol (72%), CO2 (0%), H2 S (220%) and its reason use control method of measuring ethylene. Control samples were analyzed with a Thermo Scientific Trace 1310 gas chromatograph with a flame ionization detector. The chromatograph was pre-calibrated with calibration gas mixtures with ethylene content of 10 and 100 ppm. It has been shown that Gala, McIntosh and Jonathan apples are stored several times better when the air in which apples are stored is treated with a plasma-chemical system. After 40 days of storage in the control box, the weight of apples acceptable for consumption (absence of rot and mold) was for varieties Gala – 3.3 kg (31%), Jonathan – 2.1 kg (15.6%), McIntosh – 2 kg (20%). In the experimental boxing varieties Gala – 12.1 kg (66.4%), Jonathan – 10.2 kg (59.3%), McIntosh – 9.3 kg (52.5%). Thus, the combined plasma-ozone method of air treatment of stored apples has shown high efficiency and has prospects for use. Keywords: plasma treatment, barrierless plasma chemical reactor, ethylene References Bagher, H. et al. (2020). Effect of Cold Plasma on Quality Retention of Fresh-Cut Produce. Journal of Food Quality, 8. https://doi.org/10.1155/2020/8866369 Crocker, W. et al. (1935). Similarities in the effects of ethylene and the plant auxins. Contrib. Boyce Thompson inst., 7, 231–248. Concello, A. et al. (2005). Effect of chilling on ethylene production in eggplant fruit. Food Chemistry, 92, 63–69. https://doi.org/10.1016/j.foodchem.2004.04.048 Dong, L. et al. (2002). Effect of 1-methylcyclopropene on ripening of ‘Canino’ apricots and ‘Royal Zee’ plums. Postharvest Biology and Technology, 24, 135–145. https://doi.org/10.1016/S0925-5214(01)00130-2 Golden, K. (2014). Ethylene in Postharvest Technology: A Review. Asian Journal of Biological Sciences, 7(4), 135–143. https://doi.org/10.3923/ajbs.2014.135.143 Golota, V. et al. (2003). Patent US #6,544,486 B2 Date 04/18/2003. Golota, V. et al. (2018), Decomposition of ethylene in low temperature plasma of barrierless discharge. Problems of Atomic Sci. and Technol. Ser. Plasma Electronics and New Methods of Acceleration, №4 (116), 160–163. http://dspace.nbuv.gov.ua/handle/123456789/147342 Golota, V. et al. (2018). The use of ozone technologies in grain storage. Problems of Atomic Science and Technology, 116(4), 185–188. http://dspace.nbuv.gov.ua/handle/123456789/149325 Ma, L. et al. (2017). Recent developments in novel shelf life extension technologies of fresh-cut fruits and vegetables. Trends in Food Science & Technology, 64, 23–38. https://doi.org/10.1016/j.tifs.2017.03.005 Miller, F. A. et al. (2013). Review on Ozone-Based Treatments for Fruit and Vegetables Preservation. Food Eng Rev, (5), 77–106. https://doi.org/10.1007/s12393-013-9064-5 Nakatsuka, A. et al. (1998). Differential Expression and Internal Feedback Regulation of 1-Aminocyclopropane-1- Carboxylate Synthase, 1-Aminocyclopropane-1-Carboxylate Oxidase, and Ethylene Receptor Genes in Tomato Fruit during Development and Ripening. Plant Physiol, 118, 1295–1305. https://doi.org/10.1104/pp.118.4.1295 Skog, L. J. et al. (2001). Effect of ozone on qualities of fruits and vegetables in cold storage. Canadian Journal of Plant Science, 81(4), 773–778. https://doi.org/10.4141/P00-110 Taran, G.V. et al. (2019). Plasma-chemical methods for control of biotic contaminants. Problems of Atomic Sci. and Technol. Ser. Plasma Electronics and New Methods of Acceleration, 2019, №4 (122), 198–202. https://vant.kipt.kharkov.ua/ARTICLE/ VANT_2019_4/article_2019_4_198.pdf
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,009 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,003 | 0,002 |
| Bibliométrie | 0,000 | 0,005 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,006 | 0,005 |
| Intégrité de la recherche | 0,003 | 0,005 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».