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Carbon Footprint Analysis of Ice Cream Production

Author

Listed:
  • Magdalena Wróbel-Jędrzejewska

    (Prof. Wacław Dąbrowski Institute of Agriculture and Food Biotechnology—National Research Institute, Department of Refrigeration Technology and Technique in Lodz, 02-532 Warsaw, Poland)

  • Elżbieta Polak

    (Prof. Wacław Dąbrowski Institute of Agriculture and Food Biotechnology—National Research Institute, Department of Refrigeration Technology and Technique in Lodz, 02-532 Warsaw, Poland)

Abstract

Nowadays, a noticeable trend in society is the search for more and more healthy food products. This is also reflected in the interest in plant-based ingredients replacing animal ones, which are more caloric, difficult to digest, and have more negative environmental impact. The purpose of this study was to determine the carbon footprint (CF) of technological process of ice cream, made with traditional ingredients as well as with fat and sugar substitute ingredients, under laboratory and handcraft conditions. Process-line portable metering was designed and implemented. Emission and production data were recorded for different ice blends; at a laboratory-scale, the determined technological process, CF tech, of traditional ice cream was 0.360 and for ice cream with substitutes 0.385 kg CO 2 /kg product. The pasteurization process accounted for the largest share in CF tech of ice cream with different contents of substitutes. Under handicraft conditions, the CF tech of traditional ice cream as well as ice cream with fat and sugar substitutes were 0.253 and 0.248 kg CO 2 /kg product, respectively. In contrast, for standard a handcraft, CF was the lowest at 0.234 kg CO 2 /kg product. CF tech of laboratory-scale ice cream production is larger than for handcraft production. Pasteurization along with homogenization and ripening accounted for the largest share of CO 2 emissions.

Suggested Citation

  • Magdalena Wróbel-Jędrzejewska & Elżbieta Polak, 2023. "Carbon Footprint Analysis of Ice Cream Production," Sustainability, MDPI, vol. 15(8), pages 1-17, April.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:8:p:6887-:d:1127532
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    References listed on IDEAS

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    1. Jafaryani Jokandan, Majid & Aghbashlo, Mortaza & Mohtasebi, Seyed Saeid, 2015. "Comprehensive exergy analysis of an industrial-scale yogurt production plant," Energy, Elsevier, vol. 93(P2), pages 1832-1851.
    2. William E. Rees, 2002. "Footprint: our impact on Earth is getting heavier," Nature, Nature, vol. 420(6913), pages 267-268, November.
    3. S. A. Montzka & E. J. Dlugokencky & J. H. Butler, 2011. "Non-CO2 greenhouse gases and climate change," Nature, Nature, vol. 476(7358), pages 43-50, August.
    4. Sundarakani, Balan & de Souza, Robert & Goh, Mark & Wagner, Stephan M. & Manikandan, Sushmera, 2010. "Modeling carbon footprints across the supply chain," International Journal of Production Economics, Elsevier, vol. 128(1), pages 43-50, November.
    5. Wolmet Barendregt & Aksel Biørn-Hansen & David Andersson, 2020. "Users’ Experiences with the Use of Transaction Data to Estimate Consumption-Based Emissions in a Carbon Calculator," Sustainability, MDPI, vol. 12(18), pages 1-14, September.
    6. Dong, Gang & Mao, Xianqiang & Zhou, Ji & Zeng, An, 2013. "Carbon footprint accounting and dynamics and the driving forces of agricultural production in Zhejiang Province, China," Ecological Economics, Elsevier, vol. 91(C), pages 38-47.
    7. Dowlati, Majid & Aghbashlo, Mortaza & Mojarab Soufiyan, Mohamad, 2017. "Exergetic performance analysis of an ice-cream manufacturing plant: A comprehensive survey," Energy, Elsevier, vol. 123(C), pages 445-459.
    8. Al-Mansour, F. & Jejcic, V., 2017. "A model calculation of the carbon footprint of agricultural products: The case of Slovenia," Energy, Elsevier, vol. 136(C), pages 7-15.
    Full references (including those not matched with items on IDEAS)

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