Environmental Profile of a Novel High-Amylose Bread Wheat Fresh Pasta with Low Glycemic Index

To improve glycemic health, a high-amylose bread wheat flour fresh pasta characterized by a low in vitro glycemic index (GI) and improved post-prandial glucose metabolism was previously developed. In this study, well-known life cycle analysis software was used in accordance with the PAS 2050 and mid- and end-point ReCiPe 2016 standard methods to assess, respectively, its carbon footprint and overall environmental profile, as weighted by a hierarchical perspective. Even if both eco-indicators allowed the identification of the same hotspots (i.e., high-amylose bread wheat cultivation and consumer use of fresh pasta), the potential consumer of low-GI foods should be conscious that the novel low-GI fresh pasta had a greater environmental impact than the conventional counterpart made of common wheat flour, their corresponding carbon footprint or overall weighted damage score being 3.88 and 2.51 kg CO2e/kg or 184 and 93 mPt/kg, respectively. This was mainly due to the smaller high-amylose bread wheat yield per hectare. Provided that its crop yield was near to that typical for common wheat in Central Italy, the difference between both eco-indicators would be not greater than 9%. This confirmed the paramount impact of the agricultural phase. Finally, use of smart kitchen appliances would help to relieve further the environmental impact of both fresh pasta products.

[1]  D. Lafiandra,et al.  High amylose bread wheat and its effects on cooking quality and nutritional properties of pasta , 2022, International Journal of Food Science & Technology.

[2]  D. Lafiandra,et al.  Characterization of Fresh Pasta Made of Common and High-Amylose Wheat Flour Mixtures , 2022, Foods.

[3]  J. Bacenetti,et al.  Environmental life cycle assessment for improved management of agri-food companies: the case of organic whole-grain durum wheat pasta in Sicily , 2022, The International Journal of Life Cycle Assessment.

[4]  Corinne Le Quéré,et al.  Climate Change 2013: The Physical Science Basis , 2013 .

[5]  D. Dziki Current Trends in Enrichment of Wheat Pasta: Quality, Nutritional Value and Antioxidant Properties , 2021, Processes.

[6]  Oleg Sobchuk Cultural Theory , 2021, Evolutionary Studies in Imaginative Culture.

[7]  G. Sonnemann,et al.  “Allocation at the point of substitution” applied to recycled rare earth elements: what can we learn? , 2021, The International Journal of Life Cycle Assessment.

[8]  Haelee K. Fenton,et al.  Noodles Made from High Amylose Wheat Flour Attenuate Postprandial Glycaemia in Healthy Adults , 2020, Nutrients.

[9]  M. Moresi,et al.  Development and assessment of a home eco-sustainable pasta cooker , 2020 .

[10]  M. Moresi,et al.  Cradle-to-grave carbon footprint of dried organic pasta: assessment and potential mitigation measures. , 2019, Journal of the science of food and agriculture.

[11]  L. Recchia,et al.  Environmental Sustainability of Pasta Production Chains: An Integrated Approach for Comparing Local and Global Chains , 2019, Resources.

[12]  M. Moresi,et al.  Reducing the cooking water-to-dried pasta ratio and environmental impact of pasta cooking. , 2018, Journal of the science of food and agriculture.

[13]  D. Lafiandra,et al.  Combining mutations at genes encoding key enzymes involved in starch synthesis affects the amylose content, carbohydrate allocation and hardness in the wheat grain , 2018, Plant biotechnology journal.

[14]  R. Valentini,et al.  The contribution to climate change of the organic versus conventional wheat farming: A case study on the carbon footprint of wholemeal bread production in Italy , 2017 .

[15]  Mark A. J. Huijbregts,et al.  ReCiPe2016: a harmonised life cycle impact assessment method at midpoint and endpoint level , 2016, The International Journal of Life Cycle Assessment.

[16]  Adisa Azapagic,et al.  Evaluation of environmental impacts in the catering sector: the case of pasta , 2016 .

[17]  W. Stahel,et al.  The Circular Economy , 2019 .

[18]  Pasquale Catalano,et al.  Energy consumption and analysis of industrial drying plants for fresh pasta process , 2015 .

[19]  S. Jobling,et al.  A genetic strategy generating wheat with very high amylose content. , 2015, Plant biotechnology journal.

[20]  Sergios Theodoridis,et al.  Machine Learning: A Bayesian and Optimization Perspective , 2015 .

[21]  Rémi Bardenet,et al.  Monte Carlo Methods , 2013, Encyclopedia of Social Network Analysis and Mining. 2nd Ed..

[22]  Mireille Faist,et al.  Energy Use in the Food Sector : a data survey , 2012 .

[23]  G. Fazio,et al.  Development of high amylose wheat through TILLING , 2012, BMC Plant Biology.

[24]  C. Sundberg,et al.  Uncertainties in the carbon footprint of refined wheat products: a case study on Swedish pasta , 2011 .

[25]  Marcello Braglia,et al.  LIFE CYCLE ASSESSMENT OF PASTA PRODUCTION IN ITALY , 2007 .

[26]  C. Sirangelo,et al.  Union , 2018, Oxford Scholarship Online.

[27]  Antonia Tamborrinoa,et al.  New Modelling Approach for the Energy and Steam Consumption Evaluation in a Fresh Pasta Industry , 2021 .

[28]  M. Moresi,et al.  Environmental Profile of Organic Dry Pasta , 2021 .

[29]  S. Ogle,et al.  N2O emissions from managed soils, and CO2 emissions from lime and urea application , 2019 .

[30]  A. Rouf,et al.  Products and byproducts of wheat milling process , 2018 .

[31]  P. Berbezy,et al.  High-Amylose Wheat Foods : A New Opportunity to Meet Dietary Fiber Targets for Health , 2018 .

[32]  R. Salomone,et al.  Life Cycle Assessment in the Cereal and Derived Products Sector , 2015 .

[33]  D. Shindell,et al.  Anthropogenic and Natural Radiative Forcing , 2014 .

[34]  Agata Lo Giudice,et al.  LCI PRELIMINARY RESULTS OF IN THE SICILIAN DURUM WHEAT PASTA CHAIN PRODUCTION , 2011 .

[35]  Masson-Delmotte,et al.  The Physical Science Basis , 2007 .

[36]  Giuseppe Tassielli,et al.  Environmental Input-Output Analysis and Hybrid Approaches to Improve the Set up of the Pasta Life Cycle Inventory , 2004 .