Assessing food security performance from the One Health concept: an evaluation tool based on the Global One Health Index.

BACKGROUND: Food systems instantiate the complex interdependencies across humans, physical environments, and other organisms. Applying One Health approaches for agri-food system transformation, which adopts integrated and unifying approaches to optimize the overall health of humans, animals, plants, and environments, is crucial to enhance the sustainability of food systems. This study develops a potential assessment tool, named the global One Health index-Food Security (GOHI-FS), aiming to evaluate food security performance across countries/territories from One Health perspective and identify relevant gaps that need to be improved for sustainable food systems. METHODS: We comprehensively reviewed existing frameworks and elements of food security. The indicator framework of GOHI-FS was conceptualized following the structure-process-outcome model and confirmed by expert advisory. Publicly available data in 2020 was collected for each indicator. The weighting strategy was determined by the Fuzzy Analytical Hierarchy Process. The data for each indicator was normalized and aggregated by weighted arithmetic mean. Linear regressions were performed to evaluate the associations of GOHI-FS with health and social-economic indicators. RESULTS: The GOHI-FS includes 5 first-level indicators, 19 second-level indicators and 45 third-level indicators. There were 146 countries/territories enrolled for evaluation. The highest average score of first-level indicators was Nutrition (69.8) and the lowest was Government Support and Response (31.3). There was regional heterogeneity of GOHI-FS scores. Higher median scores with interquartile range (IQR) were shown in North America (median: 76.1, IQR: 75.5-76.7), followed by Europe and Central Asia (median: 66.9, IQR: 60.1-74.3), East Asia and the Pacific (median: 60.6, IQR: 55.5-68.7), Latin America and the Caribbean (median: 60.2, IQR: 57.8-65.0), Middle East and North Africa (median: 56.6, IQR: 52.0-62.8), South Asia (median: 51.1, IQR: 46.7-53.8), and sub-Saharan Africa (median: 41.4, IQR: 37.2-46.5). We also found significant associations between GOHI-FS and GDP per capita, socio-demographic index, health expenditure and life expectancy. CONCLUSIONS: GOHI-FS is a potential assessment tool to understand the gaps in food security across countries/territories under the One Health concept. The pilot findings suggest notable gaps for sub-Saharan Africa in numerous aspects. Broad actions are needed globally to promote government support and response for food security.

Evaluation of leachate production and level in municipal solid waste landfills considering secondary compression.

Landfilled municipal solid waste (MSW) in developing countries generally produces a large amount of leachate due to high moisture content. The estimation of leachate production and level is of great importance to the capacity design of leachate treatment plants and the stability analysis of landfills. In this study, the leachate production ratios (the ratio of leachate mass to waste mass) in different countries and cities were first summarized to reveal the basic status of leachate generation. Then, a model was established to calculate the leachate production and level that considers the rainfall infiltration and the water released from MSW due to both primary and secondary compression (ignored in previous models). Finally, the proposed model was used in a case study of Laogang Landfill in Shanghai, China. It was found that the leachate proportion produced by compression was much higher compared with that produced by rainfall infiltration, ranging from 49 (rainy season) to 93% (dry season). The leachate released from waste due to secondary compression accounted for a high proportion (up to 25%) of the total leachate production, especially for aged MSW. The calculated leachate discharge amount and leachate level were close to the measured values because the possible low permeability layer at the bottom of the landfill was considered in this model.

Efficient production of (R)-o-chloromandelic acid by deracemization of o-chloromandelonitrile with a new nitrilase mined from Labrenzia aggregata.

(R)-o-Chloromandelic acid is the key precursor for the synthesis of Clopidogrel®, a best-selling cardiovascular drug. Although nitrilases are often used as an efficient tool in the production of α-hydroxy acids, there is no practical nitrilase specifically developed for (R)-o-chloromandelic acid. In this work, a new nitrilase from Labrenzia aggregata (LaN) was discovered for the first time by genomic data mining, which hydrolyzed o-chloromandelonitrile with high enantioselectivity, yielding (R)-o-chloromandelic acid in 96.5% ee. The LaN was overexpressed in Escherichia coli BL21 (DE3), purified, and its catalytic properties were studied. When o-chloromandelonitrile was used as the substrate, the V(max) and K(m) of LaN were 2.53 µmol min⁻¹ mg⁻¹ protein and 0.39 mM, respectively, indicating its high catalytic efficiency. In addition, a study of substrate spectrum showed that LaN prefers to hydrolyze arylacetonitriles. To relieve the substrate inhibition and to improve the productivity of LaN, a biphasic system of toluene-water (1:9, v/v) was adopted, in which o-chloromandelonitrile of 300 mM (apparent concentration, based on total volume) could be transformed by LaN in 8 h, giving an isolated yield of 94.5%. The development of LaN makes it possible to produce (R)-o-chloromandelic acid by deracemizing o-chloromandelonitrile with good ee value and high substrate concentration.