Industry 4.0 and life cycle assessment: Evaluation of the technology applications as an asset for the life cycle inventory.

Industry 4.0 technologies present transformative potential in data acquisition for production activities, promising to revolutionize the Life Cycle Inventory process. Despite acknowledging their utility in environmental impact analysis, a gap exists in understanding the specific applicability of these technologies to fulfill ISO 14044 criteria. This study addresses the gap by introducing innovative approaches to Life Cycle Assessment through Industry 4.0 technologies. Beyond existing research, technologies directly impacting LCA development are identified, along with a classification for optimal usage in the LCA process. The crucial role of these technologies in enhanced data collection across life cycle phases is highlighted, introducing a scoring mechanism to identify the technology excelling in enabling Life Cycle Inventory development. Employing a developed framework and systematic literature review, the study aims to identify Industry 4.0 technologies in manufacturing that facilitate LCA. Findings illuminate potential contributions across different product life cycle stages, with cyber-physical systems, the Internet of Things, and Simulation and Modelling identified as the most effective technologies for constructing Life Cycle Inventories. The outcomes provide guidance for practitioners in integrating Industry 4.0 technologies into manufacturing activities, offering valuable insights for environmental sustainability assessment.

A life cycle assessment approach for nitrogen footprint quantification: the reactive nitrogen indicator.

Among the environmental issues that have recently catalyzed the attention of the scientific world, we must undoubtedly include the perturbation in the biogeochemical flows of nitrogen and phosphorus, which have been identified as one of the major risks on a global scale, also considering its social implications, since the use of macronutrients is essential to guarantee the food needs of the world population. In this context, there is a growing interest in the evaluation of the environmental impact related to this issue, particularly with regard to the effects of changes in the nitrogen cycle and the methods for quantifying them. In the latter field, several researches have recently been developed focusing on the indicator known as the nitrogen footprint, associated with the environmental releases of reactive nitrogen. This study proposes an innovative method to quantify the reactive nitrogen emissions of a product system through the reactive nitrogen indicator; the method is designed using as a reference the requirements of the international standards ISO 14040 and ISO 14044, in order to be aligned with the operating procedures of the life cycle assessment technique, thus differing from the previous approaches to calculate the nitrogen footprint. As part of the study, the proposed method is applied to calculate the reactive nitrogen emissions of a set of agricultural and livestock supply chain products, using secondary inventory data from an internationally recognized database. A validation of the method was also carried out by comparing references in the literature regarding the nitrogen footprint accounting for the same products, generally obtaining a good level of agreement. The proposed method, due to its reproducibility, ease of application and completeness, can therefore be usefully applied to any product system for the calculation of reactive nitrogen emissions, thanks to an innovative approach that meets the requirements of life cycle assessment.

Combining organizational and product life cycle perspective to explore the environmental benefits of steel slag recovery practices.

Sustainability in steel production is considered a global challenge which needs to be faced with coordinated actions. The aim of this study is to assess the environmental improvements of a steel mill in a circular economy perspective, through the Organizational Life Cycle Assessment (O-LCA) and the Product Life Cycle Assessment (P-LCA) methodologies. This study explores to what extent the improvements and the efforts to recover the steel slag can be detected using an organization perspective and making a comparison with the more traditional product perspective. The results obtained show that the case in which the steel slag is recovered has lower impacts than the case in which it is landfilled through both O-LCA and P-LCA applications and that the percentage variations are similar for 8 categories out of 10 demonstrating that for our case study, O-LCA and P-LCA can detect the efforts to recover slag similarly. Two categories, namely ADP-minerals&metals and EP-freshwater, are affected by the greater amount of metal and mineral raw materials needed if the slag is not treated and by the steel slag landfill disposal more significantly. What the results tell us is that the variations obtained for this study in the P-LCA application are greater than those obtained in O-LCA application, due to two methodological aspects, namely the application of allocation procedures and the choice of the system boundaries. Finally, it emerges that O-LCA methodology can detect environmental improvements of circularity practices, but the reduction of the impacts is less clear than P-LCA application. What is transferable is that O-LCA and P-LCA methodologies are not interchangeable to quantify the environmental benefits and address the efforts to improve a process in terms of circularity.

The Role of Dysbiosis in Critically Ill Patients With COVID-19 and Acute Respiratory Distress Syndrome.

In late December 2019, severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) quickly spread worldwide, and the syndrome it causes, coronavirus disease 2019 (COVID-19), has reached pandemic proportions. Around 30% of patients with COVID-19 experience severe respiratory distress and are admitted to the intensive care unit for comprehensive critical care. Patients with COVID-19 often present an enhanced immune response with a hyperinflammatory state characterized by a "cytokine storm," which may reflect changes in the microbiota composition. Moreover, the evolution to acute respiratory distress syndrome (ARDS) may increase the severity of COVID-19 and related dysbiosis. During critical illness, the multitude of therapies administered, including antibiotics, sedatives, analgesics, body position, invasive mechanical ventilation, and nutritional support, may enhance the inflammatory response and alter the balance of patients' microbiota. This status of dysbiosis may lead to hyper vulnerability in patients and an inappropriate response to critical circumstances. In this context, the aim of our narrative review is to provide an overview of possible interaction between patients' microbiota dysbiosis and clinical status of severe COVID-19 with ARDS, taking into consideration the characteristic hyperinflammatory state of this condition, respiratory distress, and provide an overview on possible nutritional strategies for critically ill patients with COVID-19-ARDS.

Pentraxin 3 in patients with severe sepsis or shock: the ALBIOS trial.

BACKGROUND: The long pentraxin PTX3 is a key component of the humoral arm of innate immunity related to sepsis severity and mortality. We evaluated the clinical and prognostic significance of circulating PTX3 in the largest cohort ever reported of patients with severe sepsis or septic shock. MATERIALS AND METHODS: Plasma PTX3 was measured on days 1, 2 and 7 after randomization of 958 patients to albumin or crystalloids for fluid resuscitation in the multicentre Albumin Italian Outcome Sepsis (ALBIOS) trial. We tested the association of PTX3 and its changes over time with clinical severity, prevalent and incident organ dysfunctions, 90-day mortality and treatment. RESULTS: PTX3 was high at baseline (72 [33-186] ng/mL) and rose with the severity and number of organ dysfunctions (P < 0·001) and the incidence of subsequent new failures. The PTX3 concentration dropped from day 1 to 7, but this decrease was less pronounced in patients with septic shock (P = 0·0004). Higher concentrations of PTX3 on day 1 predicted incident organ dysfunctions. Albumin supplementation was associated with lower levels of PTX3 in patients with septic shock (P = 0·005) but not in those without shock. In a fully adjusted multivariable model, PTX3 on day 7 predicted 90-day mortality. Smaller drops in PTX3 predicted higher 90-day mortality. CONCLUSIONS: In severe sepsis and septic shock, early high PTX3 predict subsequent new organ failures, while a smaller drop in circulating PTX3 over time predicts an increased risk of death. Patients with septic shock show lower levels of PTX3 when assigned to albumin than to crystalloids.

Emergy analysis and sustainability efficiency analysis of different crop-based biodiesel in life cycle perspective.

Biodiesel as a promising alternative energy resource has been a hot spot in chemical engineering nowadays, but there is also an argument about the sustainability of biodiesel. In order to analyze the sustainability of biodiesel production systems and select the most sustainable scenario, various kinds of crop-based biodiesel including soybean-, rapeseed-, sunflower-, jatropha- and palm-based biodiesel production options are studied by emergy analysis; soybean-based scenario is recognized as the most sustainable scenario that should be chosen for further study in China. DEA method is used to evaluate the sustainability efficiencies of these options, and the biodiesel production systems based on soybean, sunflower, and palm are considered as DEA efficient, whereas rapeseed-based and jatropha-based scenarios are needed to be improved, and the improved methods have also been specified.