Life cycle assessment from early development stages: the case of gelatin extracted from tilapia residues

Sampaio, Ana Paula Coelho; Filho, Men De Sá Moreira De Sousa; Castro, Ana Lídia A.; Figueiredo, M. de L. C.

doi:10.1007/s11367-016-1179-5

Cited by 18 publications

(17 citation statements)

References 24 publications

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“…The topics of food production (n = 4), mobility (n = 2), and biomass production (n = 1) are analyzed as well. Most authors concluded that applying prospective LCA is useful, leads to new insights during the development of new technologies, and can support policymakers in their work [25,26,32,[34][35][36][37]. Zimmermann et al [27] expand this argument in concluding that prospective LCAs lead to a more robust analysis than traditional static LCAs.…”

Section: Resultsmentioning

confidence: 99%

“…End-of-life scenarios for emerging technologies are often unknown and the system boundaries are restricted due to perceived higher uncertainty [60]. Sampaio et al [35] change the system boundaries according to market changes and include possibly affected upstream activities in defined scenarios. Wender et al [18] state that it is essential to include different modeling of multiple system boundaries.…”

Section: System Boundarymentioning

confidence: 99%

“…Gavankar er al. [43], Sampaio et al [35], Thonemann and Schulte [78], Walser et al [26], and Zimmermann et al [27] propose to use the pedigree matrix formerly developed by Weidema and Wesnaes [79] to assess data quality. However, the further developed pedigree matrix and modification for assessing data quality of data sets within the ecoinvent database [80,81] is applicable for conventional non-prospective data (see Figure 6).…”

Section: Qualitymentioning

confidence: 99%

“…Fang et al [34] conduct a contribution and a perturbation analysis for analyzing uncertainty and sensitivity, which was recommended by Clavreul et al [112]. The most used approach in the studies that includes parameter uncertainty is the Monte Carlo method [26,35,37,61,89,94,113]. Gargalo et al [113] conclude that an uncertainty analysis enables a more in-depth interpretation and concurrently improves the transparency and robustness of the reached conclusions.…”

Section: Uncertaintymentioning

confidence: 99%

“…Gargalo et al [113] conclude that an uncertainty analysis enables a more in-depth interpretation and concurrently improves the transparency and robustness of the reached conclusions. Gavankar et al, Sampaio et al,and Wender et al [18,35,43] used the pedigree matrix approach [114] to estimate parameter uncertainties (see data quality section). Wender et al [18] state that the inclusion of an uncertainty analysis throughout modeling is essential for decision-driven LCAs.…”

Section: Uncertaintymentioning

confidence: 99%

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How to Conduct Prospective Life Cycle Assessment for Emerging Technologies? A Systematic Review and Methodological Guidance

2020

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Emerging technologies are expected to contribute to environmental sustainable development. However, throughout the development of novel technologies, it is unknown whether emerging technologies can lead to reduced environmental impacts compared to a potentially displaced mature technology. Additionally, process steps suspected to be environmental hotspots can be improved by process engineers early in the development of the emerging technology. In order to determine the environmental impacts of emerging technologies at an early stage of development, prospective life cycle assessment (LCA) should be performed. However, consistency in prospective LCA methodology is lacking. Therefore, this article develops a framework for a prospective LCA in order to overcome the methodological inconsistencies regarding prospective LCAs. The methodological framework was developed using literature on prospective LCAs of emerging technologies, and therefore, a literature review on prospective LCAs was conducted. We found 44 case studies, four review papers, and 17 papers on methodological guidance. Three main challenges for conducting prospective LCAs are identified: Comparability, data, and uncertainty challenges. The issues in defining the aim, functionality, and system boundaries of the prospective LCAs, as well as problems with specifying LCIA methodologies, comprise the comparability challenge. Data availability, quality, and scaling are issues within the data challenge. Finally, uncertainty exists as an overarching challenge when applying a prospective LCA. These three challenges are especially crucial for the prospective assessment of emerging technologies. However, this review also shows that within the methodological papers and case studies, several approaches exist to tackle these challenges. These approaches were systematically summarized within a framework to give guidance on how to overcome the issues when conducting prospective LCAs of emerging technologies. Accordingly, this framework is useful for LCA practitioners who are analyzing early-stage technologies. Nevertheless, further research is needed to develop appropriate scale-up schemes and to include uncertainty analyses for a more in-depth interpretation of results.

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Section: Resultsmentioning

confidence: 99%

Section: System Boundarymentioning

confidence: 99%

Section: Qualitymentioning

confidence: 99%

Section: Uncertaintymentioning

confidence: 99%

Section: Uncertaintymentioning

confidence: 99%

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How to Conduct Prospective Life Cycle Assessment for Emerging Technologies? A Systematic Review and Methodological Guidance

2020

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Bacterial cellulose nanofiber-based films incorporating gelatin hydrolysate from tilapia skin: production, characterization and cytotoxicity assessment

et al. 2018

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In this work, films based on bacterial cellulose nanofibers (BCNFs) incorporating gelatin hydrolysate (GH) from tilapia skin were produced. The effect of plasticizer (sorbitol or glycerol) and GH incorporation was evaluated on the physical-chemical and optical properties of films. BCNFs were produced using bacterial cellulose obtained from Hestrin and Schramm (HS) medium (BCNF-HS) or cashew apple juice (BCNF-CM), which was studied as an alternative to HS. Films with sorbitol showed the best properties and were selected for further characterization, using 40% (w/w) of BCNF-HS, 40% (w/w) of GH and 20% (w/w) of sorbitol (BCNF-HS-S-GH films). These films exhibited an antioxidant activity of 7.8 lmols Trolox Eq/g film, a water vapor permeability (WVP) of 1.6 g.mm/kPa.h.m 2 and an Young's modulus of 0.57 GPa. Films produced with BCNFs obtained from cashew apple juice revealed enhanced tensile strength, elongation at break, and thermal stability. Caco-2 cells' viability after incubation with BCNF-based films incorporating GH was evaluated and showed non-cytotoxicity, reinforcing the safety of the developed materials and their potential use in food applications.

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Upscaling methods used in ex ante life cycle assessment of emerging technologies: a review

Tsoy

Steubing

Giesen

et al. 2020

Int J Life Cycle Assess

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The objective of this paper was to provide LCA practitioners with recommendations and a framework for upscaling emerging technologies by reviewing upscaling methods applied so far in ex ante life cycle assessment (LCA). Methods Web of Science was searched for articles published between 1990 and 2019 (April) using different variations of the term "ex ante LCA" as keywords. Suitable studies were reviewed to understand the key characteristics and main methodological principles of upscaling methods. Results and discussion A total of 18 studies were selected for literature review. Review results showed that most studies reported what a hypothetical upscaled technology would look like in the future. All studies described how they estimated data; they applied different data estimation methods, using process simulation, manual calculations, molecular structure models (MSMs) and proxies. Since the review results showed that most ex ante LCA studies followed similar upscaling steps, we developed a framework for the upscaling of emerging technologies in ex ante LCA consisting of three main steps: (1) projected technology scenario definition, (2) preparation of a projected LCA flowchart, and (3) projected data estimation. Finally, a decision tree was developed based on the review results that provides recommendations for LCA practitioners regarding the upscaling procedure in ex ante LCA. Conclusions Our findings can be useful for LCA practitioners aiming at upscaling in ex ante LCA. We provide an overview of upscaling methods used in ex ante LCA and introduce a framework describing the steps involved in the upscaling process and a decision tree recommending an up-scaling procedure. The results show that in theory all data estimation methods described in this paper can be applied to estimate material flows, energy flows, and elementary flows (emissions and natural resource use). Finally, since different kinds of expertise are required for upscaling in ex ante LCA, we recommend that technology experts from different fields are involved in performing ex ante LCA, e.g., technology developers, LCA practitioners, and engineers.

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Life cycle assessment from early development stages: the case of gelatin extracted from tilapia residues

Cited by 18 publications

References 24 publications

How to Conduct Prospective Life Cycle Assessment for Emerging Technologies? A Systematic Review and Methodological Guidance

How to Conduct Prospective Life Cycle Assessment for Emerging Technologies? A Systematic Review and Methodological Guidance

Bacterial cellulose nanofiber-based films incorporating gelatin hydrolysate from tilapia skin: production, characterization and cytotoxicity assessment

Upscaling methods used in ex ante life cycle assessment of emerging technologies: a review

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