Applications of Life Cycle Assessment in the Chocolate Industry: A State-of-the-Art Analysis Based on Systematic Review.

Chocolate is a popular food for its unique flavor and taste, rich nutritional value, and the psychological values brought to people. The raw material production of chocolate, product manufacturing, sales and transportation have different degrees of environmental impact. This review explores the environmental hot spots in the life cycle of chocolate and puts forward corresponding suggestions for the improvement. By applying a systematic review method, this paper collected 25 articles on life cycle assessment (LCA) of the environmental impact of the chocolate industry. It is found that the life cycle of chocolate has the highest environmental impact in the raw material production and chocolate manufacturing stages (accounting for 77-97% of total impacts), among which milk powder, sugar and cocoa derivatives are the important contributors to significant environmental burden. Dark chocolate generates the lowest carbon emissions (1.67 kg CO2 eq/kg product) among existing chocolate categories, while the chocolate confectionery products release the highest carbon emissions (6.76 kg CO2 eq/kg product) among chocolate-containing products. Improvement measures are proposed for reducing environmental impacts and for selecting environmentally friendly product formulae. This study can provide benchmarking for the chocolate industry and improves the understanding of life cycle environmental impacts of chocolate products.

Predicting low carbon pathways on the township level in China: a case study of an island.

Carbon prediction on the township level is usually difficult due to a lack of necessary information. To fulfil the research gap, the study focused on a town located in a nearshore island (Lingshan) in China. A questionnaire survey was performed to collect essential information about the future development of the town, followed by validating interviews with the island management committee. The carbon prediction of the town was established by the Low Emissions Analysis Platform (LEAP) model. The baseline scenario reflecting the existing method of carbon management was compared with an alternative low-carbon scenario. The prediction from 2020 to 2060 covers the periods of the planned carbon emissions peak in 2030 and carbon neutrality in 2060. It is found that energy-related activities and electricity consumption are the primary contributors to carbon emissions on the island. The carbon emission of Lingshan Island increases from -1333 tCO2e in 2020 to 2744 tCO2e in 2060, and the carbon peak target cannot be achieved in the baseline scenario. However, the carbon emission of the low-carbon scenario is predicted to have a peak of -850 tCO2e in 2029. The prediction model developed in this study, along with the proposed policy recommendations, can be applied to other towns or regions where data availability is limited to promote carbon reduction.

Development of a framework of carbon accounting and management on the township level in China.

The regional management on greenhouse gas (GHG) emissions is essential to the success of global carbon reduction. However, previous studies mostly focused on the city or country levels, while the management of GHG emissions on the township level has not been fully studied. This study proposed a framework of carbon management on the township level and developed a calculation tool for accounting GHG emissions. The case study of Lingshan Island, located in eastern China, was conducted through a site visit and interviews. A questionnaire survey was performed to collect data for carbon accounting. It is found that the island had a negative carbon emission of -1336 t CO2e in 2020, which is mostly contributed from energy and electricity consumption. Due to the COVID-19 pandemic, the number of tourists decreased in 2020 and the carbon emission was 224 t CO2e lower than in 2019. The proposed framework consists of five steps and requires the collaboration of the government, the locals, researchers and other stakeholders. The framework was validated through a focus group meeting and the suggestions on carbon management at township level were provided. This study paves a way of carbon accounting and management for the less urbanized regions.

Integration of life cycle assessment and life cycle costing for the eco-design of rubber products.

Rubber hoses are a category of rubber products that are widely and intensively employed in construction sites for concrete conveying. There has been lack of study to investigate the life cycle environmental and economic impacts of the rubber hoses as an industrial product. In this study, we analyze four types of rubber hoses with the inner layer made of different rubber composites to resist abrasion, i.e., Baseline, S-I, S-II and S-III. Tests of the wear resistance are carried out in the laboratory and S-III shows high abrasion resisting performance with the concrete conveying volume up to 20,000 m3 during the service life. Life cycle assessment (LCA) and life cycle costing (LCC) models are established for evaluating the four types of rubber hoses. A target function is developed to integrate LCA and LCC by converting the LCA results to the environmental costs. It is found that S-III can save 13% total cost comparing to Baseline. The production stage is the largest contributor to the environmental single score, while the use stage is the largest contributor to the life cycle cost. Sensitivity analyses are conducted and the results of this study are validated with the previous studies. The integrated method of LCA and LCC developed in this study paves a way for the eco-design of industrial rubber hoses and is potentially applicable to other rubber products.

Effects of nasal irrigation after endoscopic transsphenoidal resection in patients with pituitary adenomas: A randomized controlled trial.

PURPOSE: We aimed to explore the methods to reduce or prevent nasal complications after endoscopic transsphenoidal pituitary adenoma resection. We also examined the effects of nasal irrigation after this procedure was performed. METHODS: A randomized controlled trial was performed. Sixty patients of a tertiary hospital were enrolled in this study. The subjects were randomly divided into a control group and an intervention group. The subjects of the control group were given routine guidance, and 20 mL of normal saline was atomized through inhalation. The gauze was removed 7 days after surgery. The patients of the intervention group were given 50 mL of a 2% saline solution at 37°C to 38°C for bilateral nasal irrigation for 1 week. After that, patients were given 50 mL of a 0.9% normal saline solution at 37°C to 38°C for bilateral nasal irrigations. The complications of the two groups were collected at baseline, 1 week after intervention, 1 month, and 3 months after intervention. The data were analyzed using the chi-square test. RESULTS: A 1-month after intervention, there were significant differences in dysosmia, epistaxis, and nasal adhesion between the intervention and control groups. A 3-month after intervention, only olfactory disturbances were significantly different between the two groups. CONCLUSIONS: Nasal irrigation helps reduce the incidence of complications such as epistaxis and nasal adhesions in the early postoperative period. It can also promote the elimination or reduction of olfactory disturbances.

Strategies for mitigating plastic wastes management problem: A lifecycle assessment study in Hong Kong.

Considering the volume of plastic generation and its persistence in nature, the management of plastic wastes has gained increasing attention globally. To select the most environmentally sustainable solution, insights in the environmental impacts of different management strategies are crucial. This study thus aimed to evaluate different plastic waste management strategies such as mechanical recycling, incineration, industrial incineration, construction and landfill, and exemplified with potential case demonstrations in Hong Kong. The environmental impacts of the developed strategies are comparatively evaluated by the lifecycle assessment (LCA) technique in order to identify the most environmentally preferable strategy. The LCA results indicate that industrial incineration is the most potential preferential strategy for Hong Kong, as it can potentially consume the generated waste locally and substitute the imported coal for the cement industry. Mechanical recycling is the second preferential strategy for the city, as it conserves secondary resources significantly. Grate incineration for generating electricity is the third preferable solution, while the use of recycled plastics in construction may not be a benign environmental strategy for Hong Kong. The findings of this study could help policy makers to design strategic direction for environmentally sustainable management of plastic wastes locally based on the circular economy principle.

A real time data driven algal bloom risk forecast system for mariculture management.

In eutrophic coastal waters, harmful algal blooms (HAB) often occur and present challenges to environmental and fisheries management. Despite decades of research on HAB early warning systems, the field validation of algal bloom forecast models have received scant attention. We propose a daily algal bloom risk forecast system based on: (i) a vertical stability theory verified against 191 past algal bloom events; and (ii) a data-driven artificial neural network (ANN) model that assimilates high frequency data to predict sea surface temperature (SST), vertical temperature and salinity differential with an accuracy of 0.35oC, 0.51oC, and 0.58 psu respectively. The model does not rely on past chlorophyll measurements and has been validated against extensive field data. Operational forecasts are illustrated for representative algal bloom events at a marine fish farm in Tolo Harbour, Hong Kong. The robust model can assist with traditional onsite monitoring as well as artificial-intelligence (AI) based methods.