Application of novel technologies to reach net‐zero greenhouse gas emissions in the fresh pasteurised milk supply chain: A review

Grandsir, Capucine; Falagán, Natalia; Alamar, M. Carmen

doi:10.1111/1471-0307.12926

Cited by 8 publications

(7 citation statements)

References 84 publications

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“…Operations conditions were such as reacting gas mix = KrF; wavelength = 248 nm; pulse repetition rate = 20 Hz; laser beam average area = 3 cm 2 , and the average energy per pulse was 100 mJ. The samples were irradiated in 1‐cm path length Spectrosil® quartz cells (Starna Cells, Inc., Atascadero, CA, USA) at an average temperature of 25 ± 3°C, that is, according to the information collected by Grandsir et al (2022), it is a nonthermal and environmentally sustainable technology. The distance from the PL source to the samples was 150 mm.…”

Section: Methodsmentioning

confidence: 99%

“…The samples were irradiated in 1-cm path length Spectrosil ® quartz cells (Starna Cells, Inc., Atascadero, CA, USA) at an average temperature of 25 ± 3 C, that is, according to the information collected by Grandsir et al (2022), it is a nonthermal and environmentally sustainable technology. The distance from the PL source to the samples was 150 mm.…”

Section: Puv Light Treatmentmentioning

confidence: 99%

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Effect of pulsed ultraviolet light on the degree of antigenicity and hydrolysis in cow's milk proteins

Salazar,

Pizarro‐Oteíza,

Kasahara

et al. 2024

J Food Process Engineering

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In order to reduce the quantity of allergens that are causing harm to consumer, it is imperative that the proteins found in cow's milk undergo controlled hydrolysis. Investigated were the effects of different pulsed UV light fluences (0.1–10 J/cm2) on samples of commercial cow's milk proteins (CCMP: casein (CN), α‐lactalbumin (α‐LA), and β‐lactoglobulin (β‐LG)) and reconstituted cow's milk proteins (RCMP). The degree of hydrolysis (DH) and sodium dodecyl sulfate‐polyacrylamide gel electrophoresis (SDS‐PAGE) profiles in RCMP and CCMP, as well as the degree of antigenicity in RCMP, were assessed for this purpose. The DH increased in CCMP and RCMP samples at the highest fluence applied. SDS PAGE profiles showed a decrease in the intensity of the bands of the CCMP samples for fluences of 5 and 10 J/cm2; however, this was not the case for α‐LA. Finally, the degrees of antigenicity measured with Elisa assay in CN and β‐LG were reduced by 24% and 47%, respectively, at a fluence of 10 J/cm2. Therefore, this nonthermal technology could be an alternative to conventional treatments to reduce the allergenic potential of cow's milk proteins; however, future clinical trials to confirm an anti‐allergenic effect on consumer are needed.Practical ApplicationsPulsed UV light is a nonthermal technology of great relevance in the dairy industry. The aim of this article was to generate knowledge of the effect of pulsed UV light on allergenic dairy proteins. Therefore, this article aimed to demonstrate that pulsed UV light can be a novelty compared with conventional methods of inactivation of commercial and reconstituted dairy allergenic proteins.

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Section: Methodsmentioning

confidence: 99%

Section: Puv Light Treatmentmentioning

confidence: 99%

Effect of pulsed ultraviolet light on the degree of antigenicity and hydrolysis in cow's milk proteins

Salazar,

Pizarro‐Oteíza,

Kasahara

et al. 2024

J Food Process Engineering

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“…It encompasses a wide range of associated industries, including feed production, veterinary services, equipment supply, and transportation. This extensive value chain [50,51] amplifies the sector's economic influence, providing employment and stimulating local economies in rural and urban areas alike.…”

Section: Industry Size and Economic Impactmentioning

confidence: 99%

Net Zero Dairy Farming—Advancing Climate Goals with Big Data and Artificial Intelligence

Neethirajan

2024

Climate

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This paper explores the transformative potential of Big Data and Artificial Intelligence (AI) in propelling the dairy industry toward net zero emissions, a critical objective in the global fight against climate change. Employing the Canadian dairy sector as a case study, the study extrapolates its findings to demonstrate the global applicability of these technologies in enhancing environmental sustainability across the agricultural spectrum. We begin by delineating the environmental challenges confronting the dairy industry worldwide, with an emphasis on greenhouse gas (GHG) emissions, including methane from enteric fermentation and nitrous oxide from manure management. The pressing need for innovative approaches in light of the accelerating climate crisis forms the crux of our argument. Our analysis delves into the role of Big Data and AI in revolutionizing emission management in dairy farming. This includes applications in optimizing feed efficiency, refining manure management, and improving energy utilization. Technological solutions such as predictive analytics for feed optimization, AI in herd health management, and sensor networks for real-time monitoring are thoroughly examined. Crucially, the paper addresses the wider implications of integrating these technologies in dairy farming. We discuss the development of benchmarking standards for emissions, the importance of data privacy, and the essential role of policy in promoting sustainable practices. These aspects are vital in supporting the adoption of technology, ensuring ethical use, and aligning with international climate commitments. Concluding, our comprehensive study not only suggests a pathway for the dairy industry towards environmental sustainability but also provides insights into the role of digital technologies in broader agricultural practices, aligning with global environmental sustainability efforts.

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Section: Industry Size and Economic Impactmentioning

confidence: 99%

Navigating to Net Zero: Leveraging Big Data, AI, and Benchmarking for Sustainable Climate Action and Emissions Reduction

Neethirajan

2023

Preprint

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This paper provides an in-depth exploration of the role of Big Data and Artificial Intelligence (AI) in advancing dairy farming towards net zero emissions, a critical goal in the face of the global climate crisis. The study emphasizes how these technologies significantly enhance the management of greenhouse gas (GHG) emissions and optimize resource use, thereby contributing to environmental sustainability in agriculture. A key aspect of this transition is the alignment with international climate commitments, such as the Paris Agreement, which are instrumental in steering global efforts toward emission reduction and mitigating climate change. The integration of Big Data and AI in dairy farming emerges as a powerful tool to reduce the sector's environmental impact while sustaining economic growth. The paper delves into the specific applications of these technologies in emission management, including predictive analytics for feed optimization, manure management, and energy efficiency enhancements. It also addresses the broader implications of technological integration in dairy farming, considering aspects like benchmarking standards, data privacy, and the role of policy in fostering sustainable practices. The study underscores the challenges inherent in adopting these advanced technologies, including the need for improved farmer training, data quality, and compatibility with existing systems. It also advocates for enhanced policy frameworks that support sustainable practices, encourage technological adoption, and balance economic viability with environmental responsibility. This comprehensive analysis offers valuable insights into harnessing digital technologies for climate change mitigation and delineates a path for the dairy industry towards achieving net zero emissions, thereby contributing significantly to global environmental sustainability efforts.

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Application of novel technologies to reach net‐zero greenhouse gas emissions in the fresh pasteurised milk supply chain: A review

Cited by 8 publications

References 84 publications

Effect of pulsed ultraviolet light on the degree of antigenicity and hydrolysis in cow's milk proteins

Effect of pulsed ultraviolet light on the degree of antigenicity and hydrolysis in cow's milk proteins

Net Zero Dairy Farming—Advancing Climate Goals with Big Data and Artificial Intelligence

Navigating to Net Zero: Leveraging Big Data, AI, and Benchmarking for Sustainable Climate Action and Emissions Reduction

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