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Appl. Sci. 2017, 7(2), 133; doi:10.3390/app7020133

Postharvest Quality Monitoring and Variance Analysis of Peach and Nectarine Cold Chain with Multi-Sensors Technology

1
Beijing Laboratory of Food Quality and Safety, China Agricultural University, Beijing 100083, China
2
Department of Informatics, University of Rijeka, Radmile Matejčić 2, Rijeka HR-51000, Croatia
3
Key Laboratory of Protected Horticultural Technology, Forestry and Fruit Research Institute, Shanghai Academy of Agricultural Sciences, Shanghai 201403, China
4
Faculty of Agriculture, Department of Pomology, University of Zagreb, Svetošimunska 25, Zagreb HR-10000, Croatia
*
Authors to whom correspondence should be addressed.
Academic Editor: Antonio Fernández-Caballero
Received: 21 November 2016 / Revised: 21 December 2016 / Accepted: 23 January 2017 / Published: 29 January 2017
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Abstract

Fresh peaches and nectarines are very popular for their high nutritional and therapeutic value. Unfortunately, they are prone to rapid deterioration after harvest, especially if the cold chain is not well maintained. The objective of this work is to study the environmental fluctuation and the quality change of fresh peaches and nectarines in cold chain. The temperature, relative humidity, and CO2 level were real-time monitored by sensor nodes with a wireless sensor network (WSN). The cold chain lasted for 16.8 h and consisted of six segments. The dynamic change of temperature, relative humidity, and CO2 level were real-time monitored and analyzed in detail in each of the six stages. The fruit quality index (fruit weight, fruit firmness, and soluble solids concentration (SSC)) were detected and analyzed immediately before the first stage (S1) and at the beginning of the last stage (S6). The results show that without good temperature control fruit softening is the most significant problem, even in a short chain; the WSN node can provide complete and accurate temperature, humidity, and gas monitoring information for cold chains, and can be used to further improve quality and safety assurance for peach fruit cold chains. View Full-Text
Keywords: fresh peaches and nectarines; gas monitoring; variance analysis; wireless sensor network; cold chain fresh peaches and nectarines; gas monitoring; variance analysis; wireless sensor network; cold chain
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MDPI and ACS Style

Wang, X.; Matetić, M.; Zhou, H.; Zhang, X.; Jemrić, T. Postharvest Quality Monitoring and Variance Analysis of Peach and Nectarine Cold Chain with Multi-Sensors Technology. Appl. Sci. 2017, 7, 133.

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