The Evolution of Food Security: Where Are We Now, Where Should We Go Next?

Extraction and improvement of protein functionality using steam explosion pretreatment: advances, challenges, and perspectives

Protein has become an increasingly valuable food component with high global demand. Consequently, unconventional sources, such as industrial and agroindustrial wastes and by-products, emerge as interesting alternatives to meet this demand, considering the UN Sustainable Development Goals and the transition to a circular economy. In this context, this work presents a review of the use of Steam Explosion (SE), a green technique that can be employed as a pretreatment for various waste materials, including bones, hide/leather, feathers, and wool, aimming the extraction of protein compounds, such as low molecular weight biopeptides, gelatin, and keratin, as well as to enhance the protein functionality of grains and meals. The SE technique and the main factors affecting the process's efficiency were detailed. Promising experimental studies are discussed, along with the mechanisms responsible for protein extraction and functionality improvement, as well as the main reported and suggested applications. In general, steam explosion favored yields in subsequent extraction processes, ranging from 27 to 95%, in addition to enhancing solubility and functional protein properties. Nonetheless, it is crucial to maintain the continuity of research on this topic to drive advancements in ensuring the safety of the extracted compounds for use in consumable products and oral ingestion.

Health Risk Assessment of Lead, Cadmium, and Arsenic in Leafy Vegetables in Tehran, Iran: the Concentration Data Study

Absorption of heavy and toxic metals causes their accumulation in the edible parts of vegetables. Pollutants such as heavy metals have directly affected the health of society and contributed to emerging diseases in recent years. The current study aimed to detect heavy metals (Pb, Cd, As) in highly consumed leafy vegetables provided from the Tehran market. Four types of vegetables, including dill, parsley, cress, and coriander were selected and 64 samples were randomly collected from fruit and vegetable markets in different regions of Tehran in August and September 2022. Then, samples were analyzed by the ICP-OES system, and health risk assessment was conducted using non-carcinogenic and carcinogenic approach. The range of Pb concentration was 54-314, < LOQ-289, < LOQ-230, and < LOQ-183 μg/kg for dill, cress, parsley, and coriander, respectively. The high mean concentrations of Pb belong to the dill (161.43 ± 77.3 μg/kg) and cress (154.75 ± 72.9 μg/kg). In some samples of dill (37.5% of samples), cress (18.75% of samples), and parsley (12.5% of samples), the Pb content was above the national allowable limit (200 μg/kg). The range of Cd concentration was < LOQ-42, < LOQ-41, < LOQ-30, and < LOQ-38 μg/kg for dill, cress, parsley, and coriander, respectively. In none of the samples, the concentration of Cd was higher than the Iranian national limit (50 μg/kg). The As occurrence was observed in all cress samples with a mean of 165.19 ± 64.83 μg/kg. The range of As concentration was < LOQ-71, < LOQ-256, 58-273, and < LOQ-75 μg/kg for parsley, dill, cress, and coriander, respectively. The THQ and HI values were higher than 1, and either ILCR value was higher than 10-4 for all tested heavy metals, it can be concluded that higher levels of heavy metals than the standard limits in some samples may raise the warning alarm and should come to the attention of the authorities.

The role of the fishery industry in the shift towards sustainable food security: a critical study of blue food

Blue foods have traditionally been undervalued in their contribution to global food systems. Yet they are incredible sources of locally produced nutrition for millions of people. In late 2022, there was a call for global action on food system transformation in the United Nations Food Systems Summit. The Blue Food Assessment, a scientific assessment of blue foods and their potential to contribute to sustainable and just food systems, reveals gaps where innovation could meaningfully bolster the blue food ecosystem. This article aims to examine the dynamic impact of the fishery sector on long-term food security in 27 European Union (EU27) countries while considering the contribution of agricultural output, energy production, economic development, and governance between 1990 and 2022. The findings showed a substantial positive link between fishery production and sustainable food security at a 5% statistical level, except the fifth quantile, using the new method of moment quantile regression (MMQR) with fixed effects. From the first to the ninth quantiles, fishery output considerably improves sustainable food security, with a more substantial benefit at the highest (≈ 0.021) and a lower impact at the lowest quantile (≈ 0.010). The findings also show that the EU13 developing countries see a more significant positive impact, at a 5% statistical level, on sustainable food security from fishery output than the EU14 developed nations. On the other hand, the findings also show that the EU14 developed countries see a more significant positive impact, at a 1% statistical level, from the agricultural output on sustainable food security than the EU13 underdeveloped nations. The results show a strong positive correlation between agricultural production and long-term food security at the median and most recent quantiles (≈ 0.362). In the EU27 area, sustainable food security rose across median and recent quantiles, supporting the growth hypothesis for nations that produce fisheries. In the EU27, the impact of governance was positive and statistically significant at 5% for both older and more recent quantiles. The findings also show that the EU14 nations have a more substantial beneficial effect of governance, at a 1% statistical level, on sustainable food security than the EU13 countries. With the help of effective fishery sector production, policymakers may raise the degree of food security in the EU14 and EU13 nations and ensure long-term food security.

Biostimulants and environmental stress mitigation in crops: A novel and emerging approach for agricultural sustainability under climate change

Pesticide and fertilizer usage is at the center of agricultural production to meet the demands of an ever-increasing global population. However, rising levels of chemicals impose a serious threat to the health of humans, animals, plants, and even the entire biosphere because of their toxic effects. Biostimulants offer the opportunity to reduce the agricultural chemical footprint owing their multilevel, beneficial properties helping to make agriculture more sustainable and resilient. When applied to plants or to the soil an increased absorption and distribution of nutrients, tolerance to environmental stress, and improved quality of plant products explain the mechanisms by which these probiotics are useful. In recent years, the use of plant biostimulants has received widespread attention across the globe as an ecologically acceptable alternative to sustainable agricultural production. As a result, their worldwide market continues to grow, and further research will be conducted to broaden the range of the products now available. Through this review, we present a current understanding of biostimulants, their mode of action and their involvement in modulating abiotic stress responses, including omics research, which may provide a comprehensive assessment of the crop's response by correlating molecular changes to physiological pathways activated under stress conditions aggravated by climate change.

A study on the influencing factors and related paths of farmer's participation in food safety governance-based on DEMATEL-ISM-MICMAC model

Farmers' participation in food safety governance is an important part of food safety social co-governance, and the accurate identification of its influencing factors and their related paths is of guiding significance to the scientific decision-making of food safety governance. The system of influencing factors of farmers' participation in food safety governance was constructed from four dimensions, and the influence network of each dimension was revealed by decision laboratory analysis (DEMATEL). The hierarchical structure and correlation path of influencing factors were determined by interpretive structural model (ISM), and the attributes of influencing factors were further classified by cross influence matrix multiplication (MICMAC). The results show that the influencing factors of farmers' participation in food safety governance can be divided into seven levels, among which the level of education and the status of village cadres are the fundamental characteristic factors. The degree of rural informatization, the intensity of government supervision, the promotion of village committees, the response of the government and the degree of disclosure of government information are the deep core factors, and risk cognition, political trust and family eating habits are special factors. Taking the importance and attribute status of farmers' participation in food safety governance into decision-making considerations is of great significance to improve the efficiency of food safety governance.

Household food insecurity, low maternal social support and maternal common mental disorders in East Mamprusi Municipality, Ghana

INTRODUCTION

Both household food insecurity and maternal common mental disorders are public health concerns in Ghana but studies on them, and their interrelatedness are scarce. Social support is an independent determinant of mental health but can also moderate the link between risk factors and mental illness. Identifying the risk factors of mental illness may provide opportunities for intervention and help reduce disease burden and impact. This study examined the association between household food insecurity or low maternal social support and maternal common mental disorders in East Mamprusi Municipality, Ghana.

METHODS

This was a community-based, cross-sectional study involving 400 mothers with children 6-23 months selected using multi-stage sampling. Summary scores for household food insecurity, maternal social support, and maternal common mental disorders were measured using Food Insecurity Experience Scale (FIES), Medical Outcome Study Social Support Scale (SSS), and WHO Self-Reporting Questionnaire 20 items (SRQ-20) respectively in personal interviews. Poisson regression models were fitted to determine the association of household food insecurity or low maternal social support with maternal common mental disorders, controlling for selected socio-demographic variables.

RESULTS

The mean age of the participants was 26.7 (± 6.68) years, and the mean FIES, SSS, and SRQ-20 scores were 5.62 [95% Confidence Interval (CI): 5.29-5.96] out of 8, 43.12 (95% CI: 41.34-44.90) out of 100, and 7.91 (95% CI: 7.38-8.45) out of 19 respectively. About two-thirds of the households (71.9%), and 72.7% and 49.5% of the women had food insecurity, low social support and probable common mental disorder respectively. In the adjusted analyses, a unit increase in FIES score was associated to a 4% increment in the predicted SRQ-20 score [Incident Risk Ratio (IRR) 1.04; 95% Confidence Interval (CI): 1.02, 1.06; p = 0.001], and the predicted SRQ-20 score of the women belonging to low social support category was 38% higher compared to that of women of high social support category (IRR 1.38; 95% CI: 1.14, 1.66; p = 0.001).

CONCLUSION

The prevalence of household food insecurity and common mental disorders among mothers are high, and both household food insecurity and low social support are significantly related to common mental disorders in women. Interventions to reduce both household food insecurity, and common mental disorders in women are warranted, and should include social support for women.

Measuring Food Insecurity: The Problem with Semantics

Rising rates of hunger and food insecurity have sparked a major re-evaluation of all aspects of food systems. Because of the multifaceted nature of food insecurity, however, determining what actions should be taken is challenging, especially since reevaluation efforts are led by experts from several disciplines and there is no consensus about which indicators should be used and how they should be measured. Confusion surrounding the meaning of the terms 'food security' and 'food insecurity' has contributed to this lack of consensus. As indicators inform action, such confusion has slowed those committed to alleviating hunger in identifying the most pressing targets. This review highlights (1) the importance of clearly defining food security and food insecurity and (2) how such definitions affect measures of food insecurity in the United States. While some might say that definitions are an issue of the past or a trivial matter of semantics, we believe that the world's present rates of hunger and malnutrition are attributable, at least in part, to the lack of consensus on these definitions and their accompanying measurements and indicators. Although the present review can be helpful to academics and policy makers, the primary purpose is to be a resource to those involved in the day-to-day production of food, such as ranchers and farmers by providing an overview of definitions, indicators, and measurements used when discussing food security.

Modeling adoption of genetically modified foods: Application of Rough Set Theory and Flow Network Graph

Introduction

The main purpose of this study is to extract the rules and patterns governing the behavioral intention of consumers towards the adoption of genetically modified foods (GMFs).

Method

The proposed method is a combination of Rough Set Theory (RST) and Flow Network Graph (FNG). Data was collected from 386 consumers to extract rough rules. 13 rules have been chosen from 289 original rules that were divided into three groups: low, medium, and high intention to use GMFs. They were chosen because of the support values and other indexes that were used in the RST. Eventually, to interpret the performance of the generated rules, FNG were illustrated for each decision-making class, and seven patterns were extracted.

Results

The findings confirm that corporate social responsibilities, consumer concerns, occupational status, and consumer autonomy are more important than other observed dimensions in consumers' decision-making. Moreover, the findings illustrate that combining Rough Set Theory and Flow Network Graph could predict customers' intentions and provide valuable information for policy-makers in related active industries.

Discussion

Based on the analysis outcomes, the most significant factors that affect consumers' intention to use GMFs are: “consumer perception of CSR”; “consumer concerns”; “occupational status”; and “consumer autonomy”. Thus, managers and policymakers must pay more attention to these concepts when they survey consumer intention behavior.

External supply risk of agricultural products trade along the Belt and Road under the background of COVID-19

Agricultural product trade along the Belt and Road (B&R) is an important part of the international food security system, the vulnerabilities of which have been highlighted by the recent COVID-19 pandemic. Based on the complex network analysis, this study analyzes the characteristics of agricultural products trade network along the B&R. It also combines the effects of COVID-19 with the import trade volume of agricultural products in countries along the B&R to build a risk supply model of agricultural products. The results show that: (1) In 2021, the spatial correlation structure of agricultural products trade along the B&R became increasingly sparse, and the network connectivity and density also decreased. (2) The network showed obvious scale-free distribution characteristics and obvious heterogeneity. Five communities emerged under the influence of the core node countries, but the formation of community in 2021 had obvious geopolitical characteristics. (3) Under the influence of the COVID-19 epidemic, the number of countries with medium-risk and high-risk level along the route facing external dependence risk (R_EDI), import concentration risk (R_HHI) and COVID-19 epidemic risk (R_RICI) increased in 2021, and the number of countries with extremely low-risk level decreased. (4) The dominant risk type of external supply of agricultural products along the route changed from compound risk type in 2019 to epidemic risk in 2021. Hence, the results can be expected to prevent external risk impact from reducing excessive concentration of agricultural products trade and excessive dependence on the external market.

Toward Better Food Security Using Concepts from Industry 5.0

The rapid growth of the world population has increased the food demand as well as the need for assurance of food quality, safety, and sustainability. However, food security can easily be compromised by not only natural hazards but also changes in food preferences, political conflicts, and food frauds. In order to contribute to building a more sustainable food system-digitally visible and processes measurable-within this review, we summarized currently available evidence for various information and communication technologies (ICTs) that can be utilized to support collaborative actions, prevent fraudulent activities, and remotely perform real-time monitoring, which has become essential, especially during the COVID-19 pandemic. The Internet of Everything, 6G, blockchain, artificial intelligence, and digital twin are gaining significant attention in recent years in anticipation of leveraging the creativity of human experts in collaboration with efficient, intelligent, and accurate machines, but with limited consideration in the food supply chain. Therefore, this paper provided a thorough review of the food system by showing how various ICT tools can help sense and quantify the food system and highlighting the key enhancements that Industry 5.0 technologies can bring. The vulnerability of the food system can be effectively mitigated with the utilization of various ICTs depending on not only the nature and severity of crisis but also the specificity of the food supply chain. There are numerous ways of implementing these technologies, and they are continuously evolving.

Exploring the Relationship between Energy and Food Security in Africa with Instrumental Variables Analysis

The well-being of human populations and their sustainable development are strongly predicated on energy and food security. This is even more true of Africa due to often suboptimal food production, undernourishment, and extreme poverty. This article researches the relationship between energy and food security using Cobb–Douglas production functions based on the World Development Indicators data for 28 African countries. The methodological approach includes cross-sectional dependence and unit root tests, instrumental variables two-stage least-squares and generalized method of moments, and panel Driscoll–Kraay standard errors. Results suggest that the promotion of energy security promotes food security. This is possible because food production and distribution are energy-intensive. Therefore, energy is fundamental to achieving food security and zero hunger. The availability, affordability, accessibility, and acceptability of energy can thus help to fix the growing agricultural production shortage in Africa. An important policy focus should be on achieving energy security.