Quality of beans (Phaseolus vulgaris L.) after postharvest microwave treatments

التفاصيل البيبلوغرافية
العنوان: Quality of beans (Phaseolus vulgaris L.) after postharvest microwave treatments
المؤلفون: Aurelio López-Malo, Roberto Rojas-Laguna, Mariana Aguilar-Morales, María Elena Sosa-Morales, Abel Cerón-García
المصدر: Journal of Microwave Power and Electromagnetic Energy. 51:178-186
بيانات النشر: Informa UK Limited, 2017.
سنة النشر: 2017
مصطلحات موضوعية: biology, Water activity, Chemistry, Metals and Alloys, food and beverages, 04 agricultural and veterinary sciences, Bean weevil, Condensed Matter Physics, biology.organism_classification, 040401 food science, Electronic, Optical and Magnetic Materials, Horticulture, 0404 agricultural biotechnology, Germination, Ceramics and Composites, Postharvest, Electrical and Electronic Engineering, Phaseolus, Water content, After treatment, Microwave
الوصف: The potential of microwave heating (2450 MHz) was studied as a postharvest treatment on the quality of beans (Phaseolus vulgaris L.). Two of the most consumed bean varieties in Mexico were considered: ‘Bayo’ and ‘Negro’, with 11.3% and 10.7% (w.b.) of moisture content, respectively. Different power levels – 370, 510 and 950 W – were evaluated. The different treatment times were determined as the time needed to reach 48.9 °C at the centre of the beans, this target temperature is recommended to control bean weevil. Then, the beans were cooled with air flowing at 2.8 m/s at a temperature of 24 °C (60% RH). Several quality parameters were evaluated after treatment (moisture content, water activity, germination ability, hardness and cooking time). Cooking time was well modelled by Fermi equation. The treatment that showed the best results was 370 W for 72 s in ‘Bayo’ variety and 54 s in ‘Negro’ variety.
تدمد: 0832-7823
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::19738a88009ec2a370e91eef5adffa40Test
https://doi.org/10.1080/08327823.2017.1357428Test
رقم الانضمام: edsair.doi...........19738a88009ec2a370e91eef5adffa40
قاعدة البيانات: OpenAIRE