Pregled bibliografske jedinice broj: 858634
Postharvest quality monitoring and variance analysis of peach and nectarine cold chain with multi-sensors technology
Postharvest quality monitoring and variance analysis of peach and nectarine cold chain with multi-sensors technology // Applied Sciences-Basel, 7 (2017), 2; 133-145 doi:10.3390/app7020133 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 858634 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Postharvest quality monitoring and variance analysis of peach and nectarine cold chain with multi-sensors technology
Autori
Wang, Xiang ; Matetić, Maja ; Zhou, Huijuan ; Zhang, Xiaoshuan ; Jemrić, Tomislav
Izvornik
Applied Sciences-Basel (2076-3417) 7
(2017), 2;
133-145
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
fresh peaches and nectarines ; gas monitoring ; variance analysis ; wireless sensor network ; cold chain
Sažetak
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 cold chain doesn’t maintain well. The objective of this work is to study the environmental fluctuation and the quality change of fresh peach and nectarine in cold chain. The temperature, relative humidity and CO2 level were real-time monitored by the sensor nodes with wireless sensor network (WSN). 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 details in every of the six stages. The fruit quality index (fruit weight, fruit firmness and soluble solids concentration (SSC)) were detected and analyzed immediately before stages S1 and at the beginning of S6. The results show that fruit softening is the most significant problem even in the short chain without good temperature control ; the WSN node can provide complete and accurate temperature, humidity and gas monitoring information in cold chain, and further improve quality safety and assurance for peach fruit cold chain.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Ustanove:
Fakultet informatike i digitalnih tehnologija, Rijeka
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI