Response Characteristics Study of Ethylene Sensor for Fruit Ripening under Temperature Control

Author:

Zhang Xiaoshuan1ORCID,Li Yuliang1,Hong Tianyu1,Tegeltija Srdjan2,Babić Mladen2,Wang Xiang1,Ostojić Gordana2ORCID,Stankovski Stevan2ORCID,Marinković Dragan34ORCID

Affiliation:

1. College of Engineering, China Agricultural University, Beijing 100083, China

2. Center for Identification Technology, Faculty of Technical Sciences, University of Novi Sad, Trg Dositeja Obradovica 6, 21000 Novi Sad, Serbia

3. Faculty of Mechanical Engineering, University of Niš, Aleksandra Medvedeva 14, 18000 Niš, Serbia

4. Faculty of Mechanical Engineering and Transport Systems, TU Berlin, Str. d. 17. Juni 135, 10623 Berlin, Germany

Abstract

Post-ripening fruits need to be ripened to reach edible conditions, as they are not yet mature enough when picked. Ripening technology is based mainly on temperature control and gas regulation, with the proportion of ethylene being one of the key gas regulation parameters. A sensor’s time domain response characteristic curve was obtained through the ethylene monitoring system. The first experiment showed that the sensor has good response speed (maximum of first derivative: 2.01714; minimum of first derivative: −2.01714), stability (xg: 2.42%; trec: 2.05%; Dres: 3.28%), and repeatability (xg: 20.6; trec: 52.4; Dres: 2.31). The second experiment showed that optimal ripening parameters include color, hardness (Change Ⅰ: 88.53%, Change Ⅱ: 75.28%), adhesiveness (Change Ⅰ: 95.29%, Change Ⅱ: 74.72%), and chewiness (Change Ⅰ: 95.18%, Change Ⅱ: 74.25%), verifying the response characteristics of the sensor. This paper proves that the sensor was able to accurately monitor changes in concentration which reflect changes in fruit ripeness, and that the optimal parameters were the ethylene response parameter (Change Ⅰ: 27.78%, Change Ⅱ: 32.53%) and the first derivative parameter (Change Ⅰ: 202.38%, Change Ⅱ: −293.28%). Developing a gas-sensing technology suitable for fruit ripening is of great significance.

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference44 articles.

1. Improved Nutritional Quality in Fruit Tree Species through Traditional and Biotechnological Approaches;Sabbadini;Trends Food Sci. Technol.,2021

2. An Overview of Fruits and Vegetables Trade of China;Azam;Int. J. u- e- Serv. Sci. Technol.,2018

3. Research on the Optimized Route of Cold Chain Logistics Transportation of Fresh Products in Context of Energy-Saving and Emission Reduction;Liu;Math. Biosci. Eng.,2021

4. An Overview of Current Status of Cold Chain in China;Zhao;Int. J. Refrig.,2018

5. Evaluation of Logistic Flows in Green Supply Chains Based on the Combined Dematel-Anp Method;Osintsev;Facta Univ. Ser. Mech. Eng.,2021

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