Venus and Alexandri present a model to bridge the organic waste sector and the chemical production sector to develop bio-based platform chemicals, showing connectedness of SDGs 9,11 and 12. Starting with an overview of some of the potential feedstock routes to bio-based platform chemicals, the authors provide an overview of the opportunities, value, production routes, and examples of companies producing these platform chemistries. They conclude with a number of technical and institutional challenges to bio-based platform chemical production as well as potential opportunities moving forward.
This article outlines a new chemical design strategy focused on Eastman Chemical’s development of a novel, green chemistry based solvent called Omnia. Innovating with intent aptly describes the interdisciplinary process Eastman took in developing and commercializing Omnia, from the early engagement of chemists and toxicologists to identify safe molecules, to the pilot testing for performance with a small scale formulator, to making the economic, performance, and sustainability case internally and externally. Perkins also notes some of the challenges of developing and commercializing a novel solvent and the critical need for early supply chain engagement given the high cost, time, and risk associated with bringing safer ingredients to market exploring issues related to SDGs 9 and 12.
How to feed a population of 9bn in 2050? This was the question posed which provided the impetus for Elsevier to launch the bi-annual International Conference on Global Food Security Conference in 2013. Now in its 3rd year this highly regarded, research-led conference is focusing on five core conference themes to reflect an integrated approach to identifying solutions to the complex global challenge of food security: 1. Food creation 2. Food safety and bio security 3. Food loss and waste 4. Food in a changing society 5. Food utilization. Achieving global food security whilst reconciling demands on the environment is the greatest challenge faced by mankind. This directly supports SDG 2: to end hunger, achieve food security and improved nutrition and promote sustainable agriculture.

Sustainable Materials and Technologies, Volume 14, December 2017, Pages 11-18

This article describes that by removing the organic solvents from the synthesis it is possible to reduce in about two orders of magnitude the emissions of CO2 in the production of the MOF material and also a reduction of one order of magnitude in the freshwater toxicity and resource depletion. The authors believe that this type of study can serve as an initial screen tool to assess the environmental performance of novel materials. Moreover, it can be used for establishing the necessity of recycling a given solvent or to find an alternative solvent that significantly reduces the environmental impact of novel materials.

Sustainable Materials and Technologies, Volume 14, December 2017, Pages 1-10

Production wells in oil and gas industries are continually exposed to highly corrosive environments during stimulation treatments such as acidization. Acid treatment is used to increase rock permeability. However, these acids can be corrosive and the corrosive inhibitors that are added are environmentally damaging. This paper explores the research into corrosion inhibitors that are environmentally friendly, contributing to SDG 13.
The authors investigated the versatile use of droplet coagulation to recycle complex waste resources (fly ash FA, rice husk ash RHA and alum sludge AS). Monodisperse microspheres were shaped, creating higher impact on the applicability of the waste resources. Once a fluid suspension was obtained of the different powders, shaping could be performed without any impact of the powder characteristics. The aim of this research is to study the generic use of droplet coagulation on waste resources with variety in origin, composition and morphology and contribute to knowledge on sustainable materials, advancing SDG 11.

Global Food Security, Volume 15, December 2017, Pages 94-107

Contributing to SDG 1 and SDG 2, this paper shows that despite progress in reducing extreme poverty, little progress has been made in reducing the number of people living on between $1.25 and $2 a day and it provides updated estimates of rural and urban poverty for regions throughout the developing world. Social protection programmes are a key way for governments to support the poor. Secondly, agricultural input subsidies are a key government tool for boosting agricultural production, especially that of smallholder farmers. This paper is one of the first to examine both social protection and agricultural input subsidies in alleviating poverty.
The Sustainable Development Goals provide a powerful aspiration for improving our world - laying out where we collectively need to go and how to get there. Making Global Goals Local Business is the UN Global Compact’s strategy for businesses on how to navigate the SDGs. It explains the SDGs through a business lens and signposts companies on ways they can advance each one.
To advance goals 3 and 8, this article explores the causality between mental illness and long-term sickness absence. In a randomized clinical trial, a 4-h training programme for managers reduced sickness absence among employees in the Australian fire and rescue service at 6 months after the intervention. The training was highly cost effective and should be tested in other populations.
An early warning scheme is proposed that runs ensembles of inferential models for predicting the cyanobacterial population dynamics and cyanotoxin concentrations in drinking water reservoirs. When the 10- to 30-day-ahead predicted concentrations of cyanobacteria cells or cyanotoxins exceed pre-defined limit values, an early warning automatically activates an action plan considering in-lake control. Implementing the proposed scheme for drinking water reservoirs enhances current water quality monitoring practices by solely utilising in situ monitoring data, in addition to cyanobacteria and cyanotoxin measurements. Access to routinely measured cyanotoxin data allows for development of models that predict explicitly cyanotoxin concentrations that avoid to inadvertently model and predict non-toxic cyanobacterial strains.