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Record W4361267703 · doi:10.1002/pts.2729

Life cycle assessment of multiple dispensing systems used for cosmetic product packaging

2023· article· en· W4361267703 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenuePackaging Technology and Science · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicSustainable Supply Chain Management
Canadian institutionsToronto Metropolitan UniversityUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsLife-cycle assessmentCosmeticsSustainabilityEnvironmental impact assessmentCosmetic industryRaw materialProduct (mathematics)EngineeringEnvironmentally friendlyPackaging and labelingBusinessWaste managementProduction (economics)Marketing

Abstract

fetched live from OpenAlex

Abstract Worldwide, the packaging industry for consumer product goods, including personal care and beauty products, generates over $25 billion in sales. An extremely high environmental impact follows the large demand in the industry. Almost 70% of the plastic waste generated in the cosmetics market is not recyclable. Sustainability in the beauty industry is complex and multifaceted, requiring an evaluation of all factors. Packaging plays an important role in the cosmetics market, and considering the amount of waste it generates, it is essential to understand packaging dispensing systems from an environmental perspective. This study investigated the environmental impacts of three dispensing systems commonly used for cosmetic product packaging: the general dip‐tube pump, the airless pump and the bag‐in‐bottle format. A cradle‐to‐grave life cycle assessment (LCA) was performed to quantitatively analyse the environmental burden of those three different dispensing systems, using a facial cream as a test case. The LCA analysed the environmental impacts generated by the packaging materials and incorporated the environmental impacts created by the facial cream residue left behind in each dispensing system. The system boundary of this LCA included the material production, intermediate processes, distribution, use and end‐of‐life phases of the packaged facial cream products. The LCA complied with the ISO standards, 14,040:2006 and 14,044:2006, and LCA software SimaPro v 9.0 was used to analyse the results. The life cycle inventories used in this LCA included US‐EI 2.2, USLCI and Ecoinvent 3. TRACI 2.1, including ten mid‐point life cycle impact categories, was chosen as the life cycle impact analysis method. Comparative and contribution analyses were conducted to interpret the LCA data. The comparative analysis demonstrated that the airless pump packaging system had less environmental burden than the other two packaging systems for all the life cycle impact categories. The bag‐in‐bottle alternative had the highest environmental impact for eight of the ten impact categories. The contribution analysis results revealed that the packaging material production phase most contributed to the environmental burden of all three packaging formats, followed by the lotion residue.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.912
Threshold uncertainty score0.667

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.019
GPT teacher head0.273
Teacher spread0.254 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it