2022
DOI: 10.1016/j.crbiot.2022.10.008
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Spatially-explicit projection of future microbial protein from lignocellulosic waste

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Cited by 5 publications
(12 citation statements)
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“…Yet, apart from their adaptation potential, the deployment of "waste-to-food", "waste-to-proteins" or "waste-to-nutrition" pathways is also increasingly promoted as a solution to mitigate global environmental impacts (Javourez et al, 2021;Piercy et al, 2022;Smetana et al, 2022). This is because current food system plays a predominant role in global planetary boundaries overshooting (Gerten et al, 2020), triggering the need to decrease the impacts of livestock production, by downsizing the share of animal-based food in global diets as well as reducing the impacts of feed production (Poore and Nemecek, 2018;Wilfart et al, 2019).…”
Section: Background and Contextmentioning
confidence: 99%
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“…Yet, apart from their adaptation potential, the deployment of "waste-to-food", "waste-to-proteins" or "waste-to-nutrition" pathways is also increasingly promoted as a solution to mitigate global environmental impacts (Javourez et al, 2021;Piercy et al, 2022;Smetana et al, 2022). This is because current food system plays a predominant role in global planetary boundaries overshooting (Gerten et al, 2020), triggering the need to decrease the impacts of livestock production, by downsizing the share of animal-based food in global diets as well as reducing the impacts of feed production (Poore and Nemecek, 2018;Wilfart et al, 2019).…”
Section: Background and Contextmentioning
confidence: 99%
“…Building on these observations, projects aiming to transform residual biomass streams into food and feed propose to decouple food production (majorly livestock production) from arable land (Alexander et al, 2017;Pikaar et al, 2018;Tallentire et al, 2018) and shorten nutrients cycles (Smetana et al, 2022). These approaches, mostly formulated as supply-side mitigation measures, capitalize on the wide availability of unused or underused unavoidable residual streams (Chen et al, 2022;Piercy et al, 2022), and the development and scaling of food biotechnology innovations (Herrero et al, 2020;Pikaar et al, 2023). The foundation lies in the large residual biomass resource potential, enough to unlock massive land-free food production through these novel food and feed pathways.…”
Section: Background and Contextmentioning
confidence: 99%
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“…Covering the entire ‘waste‐to‐nutrition’ value chain, microbial protein production could yield in the range of 20–200 kg proteins per ton of dry wood, straw or manure (to mention a few), depending on the specific conversion routes (Javourez et al., 2023). Such processes have the potential to unlock waste and lignocellulosic bioresources to enter the food chain and open the perspectives of massive land‐free protein supplies, given the availability of corresponding waste and residues (Chen et al., 2022). For example, France's residual biomass resource is estimated to host as much proteins as its current vegetable protein production and host as much sugars (majorly cellulosic in terms of calories) as a fourth of France's final energy consumption (Javourez et al., 2023).…”
Section: Unmatched Resource Use Efficiencies Of Microbial Biotechmentioning
confidence: 99%
“…Building on these observations, projects aiming to transform residual biomass streams into food and feed propose to decouple food production (majorly livestock production) from arable land (Alexander et al, 2017;Pikaar et al, 2018;Tallentire et al, 2018) and shorten nutrients cycles (Smetana et al, 2022). These approaches, mostly formulated as supply-side mitigation measures, capitalize on the wide availability of unused or underused unavoidable residual streams (Chen et al, 2022;Piercy et al, 2022), and the development and scaling of food biotechnology innovations (Herrero et al, 2020;Pikaar et al, 2023). The foundation lies in the large residual biomass resource potential, enough to unlock massive land-free food production through these novel food and feed pathways.…”
Section: Introduction 1background / Contextmentioning
confidence: 99%