Fast screening of Milk for Deoxynivalenol.

A 2D platform was designed and validated for fast screening of milk for deoxynivalenol. The qualitative and quantitative assay of deoxynivalenol in the milk samples was done using a 2D stochastic sensor based on single walled carbon nanotubes modified with [N-(pyridine-4-yl-methyl)]octadec-9-enamide. The working concentration range was between 10-15 and 10-6 g mL-1, with a sensitivity of 5.48 × 105 s-1g-1mL, and a limit of determination of 1 fg mL-1. Recovery values higher than 99.00 % with RSD values lower than 1.00 % were recorded for the determination of deoxynivalenol in cow's and in the vegetarian (coconut milk, soy milk, almond milk) milk.

Spectrophotometric determination of o-phenylphenol in canned drinks using three-phase hollow-fiber liquid phase microextraction.

A three-phase hollow-fiber liquid phase microextraction for o-phenylphenol (OPP) determination was developed. 1-octanol was employed as the organic phase, impregnated within the pores of the hollow fiber wall which was immersed in the sample solution, serving as a donor phase. OPP in the sample solution was extracted via octanol in the fiber pores into NaOH, which acted as the acceptor phase in the lumen of the fiber. The extracted OPP was then subjected to spectrophotometric detection at 712 nm using the indophenol blue reaction. The developed method showed a linear calibration curve (0.002-0.040 mg L-1) with high sensitivity (5.75 L mg-1), low limit of detection (0.31 µg L-1), and high recovery (73.6-94.8 %). Intra-day and inter-day precision at 2.1 µg L-1 OPP were 7.4 % (n = 12) and 10.9 % (n = 4) relative standard deviations, respectively. The determined OPP in various canned drinks was found to be between 2.0 and 17.8 µg L-1 using the developed method.

Foliar implications of polystyrene nanoplastics on leafy vegetables and its ecological consequences.

The rise of airborne micro-nanoplastics (MNPs) pollution poses a significant threat to agroecological systems. Despite this issue, there is a critical gap in our understanding of their specific effects on various leafy vegetable species. To address this, we conducted a controlled experiment applying Polystyrene Nanoplastics (PS-NPs) on four leafy vegetables: Brassica rapa var. chinensis, B. rapa var. parachinensis, Amaranthus viridis, and Allium tuberosum. Our results showed that PS-NPs tend to accumulate within the epidermal layers and cuticles of these vegetables, particularly around stomatal apertures. More PS-NPs were found on the adaxial and abaxial side of leaves, compared to the cross-section. The abundance of PS-NPs accumulations varied significantly among the studied species due to differences in leaf structure. Notably, leaves with trichomes trapped more PS-NPs particles. These accumulation significantly reduced chlorophyll content and photosynthetic rates, altering the growth and nutritional quality of the vegetables. Our findings reveal the ecological effects of PS-NPs on the nutrient content, phenotype, physiology, growth and biomass metrics of common leafy vegetables. This highlights the potential for PS-NPs accumulation in edible plant tissues, raising concerns about food security and human health.

Analysis of co-operative irrigation farming and household food security in Africa: A PRISMA model approach.

This study provides a comprehensive bibliometric analysis of the relationship between co-operative irrigation farming and household food security in Africa. The research aims to identify key studies, authors, and thematic clusters, analyse the geographical distribution of research efforts, and evaluate the impact of co-operative irrigation farming on food security indicators. Utilizing the PRISMA model, data were systematically gathered from peer-reviewed publications indexed in the Dimensions database, focusing on materials published between 2019 and 2023. The study employed both bibliometric and descriptive-quantitative methodologies to analyse the data. The results reveal a significant positive impact of co-operative irrigation farming on improving household food security across various regions in Africa. The findings highlight the need for targeted policy interventions and sustainable agricultural practices that support co-operative irrigation efforts. A growing scholarly attention toward co-operative irrigation farming and household food security in recent years reveals a potentiality in finding a sustainable solution to food insecurity challenge. These insights are essential for shaping future research and informing policies aimed at enhancing food security through co-operative farming models in the African context.

Agrarian transformation and rural community food security in the lower Gangetic basin: A household survey dataset.

This data article describes a dataset derived from a comprehensive household survey aimed at understanding the dynamics of agrarian transformation and its impacts on rural community food security within the Lower Gangetic Basin, specifically along the Arial Khan River, Bangladesh. The survey was conducted as part of a doctoral research project and encompasses data collected from 250 households across a defined Mouza within the basin. The dataset provides detailed insights into various dimensions such as household demographics, land ownership and use, agricultural practices and transformations, socio-cultural and environmental factors, power dynamics, food security status, and the strategies employed to enhance food security. The survey employed a structured questionnaire comprising 78 questions distributed across seven distinct sections. Each section aimed to capture specific aspects of the household's agricultural and food security-related characteristics. Data collection was carried out from September 2023 to March 2024, following ethical guidelines approved by the University Malaysia Sabah, which included obtaining informed consent from all participants. This dataset is unique as it offers a granular look at the interplay between agricultural practices and food security in a region highly susceptible to the impacts of environmental change and economic transformations. The data are presented in a structured format across multiple Microsoft Excel sheets, which are comprehensively labeled to facilitate ease of access and analysis. The dataset is significant for researchers and policymakers focusing on agricultural development, food security, and rural development in South Asia. It provides a valuable resource for comparative studies, policy formulation, and in educational settings, aiming to address issues of sustainability and community resilience in agrarian societies.

Association Between Household Food Insecurity and Low Birth Weight: A Population-Based Case-Control Study.

BACKGROUND: Low birth weight (LBW) is a major public health issue associated with increased neonatal morbidity and mortality. This study aimed to examine the association between household food insecurity and LBW in Mashhad, Iran. Study Design: A population-based case-control study. METHODS: This study involved 6294 mothers (3247 cases and 3247 controls) who visited healthcare centers affiliated with Mashhad University of Medical Sciences for term births between March 2019 and March 2022. Cases included women who delivered neonates weighing<2500 g, while controls delivered babies≥2500 g. Food security was measured using the validated Household Food Insecurity Access Scale. Logistic regression models examined the associations between food insecurity and LBW. Geographic information system techniques mapped LBW distribution in Mashhad. RESULTS: Household food insecurity was significantly associated with higher odds of LBW (adjusted odds ratio [AOR]=1.25, 95% confidence interval [CI]: 1.03, 1.53). Other risk factors included younger maternal age (AOR=1.03, 95% CI: 1.01, 1.04), lower maternal education (AOR=0.55, 95% CI: 0.43, 0.71), cesarean delivery (AOR=1.70, 95% CI: 1.40, 2.06), and exposure to secondhand smoke (AOR=1.68, 95% CI: 1.02, 2.75). Gestational diabetes demonstrated a protective effect (AOR=0.37, 95% CI: 0.15, 0.91). Geographic mapping revealed that regions with higher food insecurity had elevated LBW prevalence. CONCLUSION: These findings underscore the importance of addressing food insecurity among pregnant women to reduce the risk of LBW and improve newborn outcomes.

Corrigendum: A scoping review of the social dimensions in food insecurity and poverty assessments.

[This corrects the article DOI: 10.3389/fpubh.2022.994368.].

Breaking from the past? Environmental narratives, logics of power, and the (re)production of food insecurity in South Sudan.

Skyrocketing commodity prices and conflict-induced mass hunger in recent years have resuscitated discussions about why famines frequently reoccur in specific spaces of vulnerability. Intervention efforts still too often isolate food (in)security from its interwovenness in the political economy of water and energy and from the role of ideas in forging these interconnections across long time periods. Using (South) Sudanese history to rethink the causes of recurrent food insecurity, we underscore the need to analyse how political elites imagine the role of the water-energy-food nexus and associated environmental narratives in consolidating power. South Sudan's 2011 secession (from Sudan) marked the culmination of a struggle against a state that insurgents regarded as having starved its citizens. However, since independence, its leaders have replicated the nostrum they once combatted: Sudanese resources must 'feed the world'. A fixation with inserting water, energy, and food resources into global markets infuses their strategy, even if such an approach will not engender food abundance.

The Present State and Impact of AI-Driven Computational Tools for Predicting Plant Protein Structures.

Several key functions of plants, such as photosynthesis, nutrient transport, disease resistance, and abiotic tolerance, are manifested by several classes of proteins. Prediction of 3- dimensional (3-D) structures of proteins and their working mechanisms can have a profound impact on plant proteomics research and could help improve key agricultural traits in crop plants. This review aims to present the current status of plant protein structure determination and discuss the way forward. Most experimentally proven protein structures are available only for the model plant Arabidopsis thaliana. Most of the key crop plants have only a few hundred or fewer experimentally proven 3-D structures. Fewer than 1% of the protein sequences in the majority of plants have had their 3D structures experimentally determined, and A. thaliana is the sole plant with the highest percentage of 1.4 % of protein sequences with experimentally determined structures. AI-based protein structure prediction tool AlphaFold has predicted models of several thousand proteins for many crop plants. In AlphaFold predicted protein models, soybean has the highest percentage (65%) of its UniProt protein sequences with predicted models, and a few other crop plants have also a considerable percentage of its UniProt sequences with AlphaFold predicted models. AlphaFold might help predict models and bridge the gap in plant structure determination studies. Protein structure information might lead to engineering key residues to improve the agronomical performance of crop plants.

Leveraging multi-omics tools to comprehend responses and tolerance mechanisms of heavy metals in crop plants.

Extreme anthropogenic activities and current farming techniques exacerbate the effects of water and soil impurity by hazardous heavy metals (HMs), severely reducing agricultural output and threatening food safety. In the upcoming years, plants that undergo exposure to HM might cause a considerable decline in the development as well as production. Hence, plants have developed sophisticated defensive systems to evade or withstand the harmful consequences of HM. These mechanisms comprise the uptake as well as storage of HMs in organelles, their immobilization via chemical formation by organic chelates, and their removal using many ion channels, transporters, signaling networks, and TFs, amid other approaches. Among various cutting-edge methodologies, omics, most notably genomics, transcriptomics, proteomics, metabolomics, miRNAomics, phenomics, and epigenomics have become game-changing approaches, revealing information about the genes, proteins, critical metabolites as well as microRNAs that govern HM responses and resistance systems. With the help of integrated omics approaches, we will be able to fully understand the molecular processes behind plant defense, enabling the development of more effective crop protection techniques in the face of climate change. Therefore, this review comprehensively presented omics advancements that will allow resilient and sustainable crop plants to flourish in areas contaminated with HMs.

Edited eukaryotic translation initiation factors confer resistance against maize lethal necrosis.

Maize lethal necrosis (MLN), which is caused by maize chlorotic mottle virus along with a potyvirus, has threatened the food security of smallholders in sub-Saharan Africa. Mutations in eukaryotic translation initiation factors (eIFs), which also facilitate virus genome translation, are known to confer variable resistance against viruses. Following phylogenetic analysis, we selected two eIF4E proteins from maize as the most likely candidates to facilitate MLN infection. A knockout (KO) of each of the corresponding genes in elite but MLN-susceptible maize lines conferred only partial protection. Our inability to knockout both the genes together suggested that at least one was required for survival. When we edited (ED) the eIF4E genes in Mini Maize, however, the plants with the eif4e1-KO became highly resistant, whereas those with the eif4e2-KO remained susceptible. Neither of the causal viruses could be detected in the MLN-inoculated eif4e1-KO plants. The eIF4E2 cDNA in Mini Maize lacked the entire 4th exon, causing a 22-amino acid in-frame deletion, which shortened the protein to 198 amino acids. When we introduced mutations in the 4th exon of the eIF4E2 gene in two elite, MLN-susceptible lines pre-edited for an eif4e1-KO, we obtained as strong resistance against MLN as in eif4e1-KO Mini Maize. The MLN-inoculated lines with eif4e1-KO/eIF4E2-exon-4ED performed as well as the uninoculated wild-type lines. We demonstrate that the C-terminal 38 amino acids of eIF4E2 are dispensable for normal plant growth but are required for the multiplication of MLN viruses. Our discovery has wide applications across plant species for developing virus-resistant varieties.

Women's Knowledge of Local Plants and Their Gastronomic Heritage in Chitral, NW Pakistan.

Women are the "guardians of the kitchen" and central to household food security, yet their role has never been studied across the Hindukush region or Pamiri Knot. This study explores the women's knowledge (specifically from the Khowar (Kho) and Wakhi linguistic groups) of local food systems and determines their role in ensuring household food security and sustainability in the mountain regions of northern Pakistan. Based on in-depth semi-structured interviews with female informants in the Rech and Broghil valleys of upper Chitral, 91 different types of food products were recorded, including wild and cultivated species. Eremurus stenophyllus and Allium barsczewskii were the commonly utilized plant species, though distinct preferences between the Kho and Wakhi groups were noted. Prominent differences were perceived in using certain cultivated plants among the two ethnic groups. For instance, Kho preferred plants like Beta vulgaris, Zea mays, and Brassica napus as indicated by the use reports, while Wakhi concentrated on Thymus serpyllum, Zygophyllum obliquum and Papaver involucratum. Both groups had shared dairy practices, but cottage cheese and curd were highly cited among Kho, while double-fermented curd and Qurut for Wakhi. The study recorded some new food uses for specific plants, such as Atriplex hortensis, Carthamus tinctorius, Hylotelephium spp., and Saxifraga sibirica. Cross-culture analyses revealed a mosaic pattern of homogenous and heterogenous trends based on reported food species of plants/animals and their use reports. Our findings emphasize the significant role of women in sustaining local food diversity, food sustainability, and the preservation and security of the local food systems, cultural legacy, and household food management. Therefore, inclusive research addressing their social, economic, and environmental issues must be conducted. Furthermore, policies must incorporate women's traditional knowledge to build resilient food systems.

Geminiviruses and Food Security: A Molecular Genetics Perspective for Sustainable Agriculture in Africa.

The African continent is vulnerable to food insecurity. Increased food costs, job losses, and climate change force Africans to chronic hunger. Biotechnology can be used to mitigate this by using techniques such as CRISPR/Cas9 systems, TALENs, and ZFNs. Biotechnology can utilize geminiviruses to deliver the necessary reagents for precise genome alteration. Additionally, plants infected with geminiviruses can withstand harsher weather conditions such as drought. Therefore, this article discusses geminivirus replication and its use as beneficial plant DNA viruses. It focuses explicitly on genome editing to increase plant resistance by manipulating plants' salicylic acid and jasmonic acid pathways.

Internal Drive or External Pull: Independent Innovation and Sustainable Growth of Chinese Agricultural Enterprises.

The independent innovation of agricultural enterprises ensures national food security through enhancing food production efficiency and optimizing food nutritional quality. Independent innovation is an important way for the sustainable growth of agricultural enterprises. However, in this process, there are issues such as long cycles and high risks. Based on this, using the panel data of China's listed agricultural enterprises from 2007 to 2021, this study empirically examined the impact of independent innovation on the sustainable growth of agricultural enterprises, as well as the moderating effects of internal drivers (digital transformation) and external pull factors (government subsidies) through a two-way fixed effects model. The findings are the following: (1) The impact of independent innovation on the sustainable growth of agricultural enterprises exhibits an "inverted U-pattern". When the R&D investment of agricultural enterprises accounts for 77.85% of operating income, the sustainable growth ability of agricultural enterprises is the highest. (2) Compared with large agricultural enterprises, small and medium-sized agricultural enterprises reach the threshold of independent innovation ability later, and the incentive effect range of independent innovation is longer. (3) Independent innovation exerts a more significant "inverted U" effect on the sustainable growth of non-state-owned agricultural enterprises and agricultural enterprises in the mature stage, while its impact on the sustainable growth of state-owned agricultural enterprises and agricultural enterprises in the growth and decline stages is not significant. (4) Government subsidies can help enhance the positive impact of independent innovation on the sustainable growth of agricultural enterprises when it does not exceed the threshold but cannot alleviate the negative impact of independent innovation on the sustainable growth of agricultural enterprises when it exceeds the threshold; investment in digital transformation not only helps to enhance the positive impact of independent innovation on the sustainable growth of agricultural enterprises when it does not exceed the threshold but also helps to alleviate the negative impact of independent innovation on the sustainable growth of agricultural enterprises when it exceeds the threshold. The research results provide data support for agricultural enterprises to carry out innovation activities under internal drive and external pull. At the same time, it is of great significance for the national implementation of the strategy of storing food in technology and food security strategy.

Acceptability of Pilot School-based Food Pantries Compared With Weekend Feeding BackPack Programs Among Food Pantry Clients in Rural Tennessee: A Mixed-Methods Approach.

OBJECTIVE: To explore the client acceptability and perceived impact of pilot school-based food pantries (SBFPs) and compare client preference between SBFPs and BackPack programs (locally termed Sack Pack) in 3 rural Tennessee elementary schools. METHODS: A mixed-method design, including cross-sectional surveys (n = 25) and semistructured interviews (n = 11), was used to assess and compare program acceptability. RESULTS: Client satisfaction was uniformly positive for both programs; however, a majority preferred the food quantity (84%), nutritional value (76%), variety (68%), quality (68%), and convenience (64%) of SBFPs. Clients reported feeding more household members with SBFPs (3.9 ± 0.9 vs 3.0 ± 1.0) compared with Sack Pack. When exploring SBFPs vs Sack Pack, 3 primary themes emerged from interviews and were supported by survey data: preferences for different program elements; food acceptability; and SBFP impact and expansion. CONCLUSIONS AND IMPLICATIONS: Findings support continuing SBFPs in rural schools. Studies on expanding the use of trusted and accessible schools as potential healthful food distribution sites are warranted to support broader community food access in rural areas.

Mutual aid food sharing during the COVID-19 pandemic: case study of Tompkins County, NY.

OBJECTIVE: The COVID-19 pandemic led to greater food insecurity across the world, and government and charitable organisations did not always respond quickly enough or adequately to meet food needs. Mutual aid (MA) - neighbours helping neighbours to meet survival needs - mobilised residents to share food, often through outdoor food cabinets and refrigerators. This study aims to understand how MA food sharing was implemented, including food availability, acceptability, accessibility and impact on food access. DESIGN: This case study describes one MA food sharing system by triangulating data from flyers, notes from nineteen volunteer meetings, six cabinet host interviews, data extracted from 1387 social media posts and 356 photographs, and 111 resident surveys. SETTING: Tompkins County, NY, USA (total population about 100 000). RESULTS: We estimated high availability of food: approximately 250 000 food servings were shared monthly, mostly carbohydrates. Most residents obtaining food found it acceptable, including satisfaction with food safety and cleanliness, food quantity, and ease of travel to the cabinets but were less satisfied with food variety. MA food sharing was accessible to food-insecure, unemployed and disabled residents, but not other priority populations. About two-thirds of residents reported improved food access. Volunteers exhibited tenacity and ingenuity in meeting operational challenges which included trash and vandalism, winter weather and unusable food contributions while foregrounding residents' safety and privacy as shared values and navigating conflicting views about fairness. CONCLUSIONS: In times of crisis, MA can improve food access through free food sharing cabinets, but barriers include unacceptable food contributions and outdoor conditions.

Coupling relationship and development patterns of agricultural emission reduction, carbon sequestration, and food security.

In-depth exploration of the coupling relationship between agricultural emission reduction and carbon sequestration (ERCS) and food security provides an important basis for promoting sustainable low-carbon development in agriculture. This research investigates the coupling mechanisms and the current state of coordinated development of agricultural ERCS and food security using provincial panel data from 2001 to 2022 in China. The agricultural ERCS level shows an upward trend, with higher levels in the north and lower in the south; externalities are positive in the north but negative in the south. Significant dynamic interactions and spatial correlations between the agricultural ERCS and food security exist, with a local spatial agglomeration pattern of "north-south opposition". Areas of high-high agglomeration are mainly concentrated in the north, while low-low agglomeration areas are primarily in the south. High-high agglomeration areas drive growth in transitional and low-growth areas through diffusion effects. The average coupling coordination degree of provinces increased from 0.432 to 0.473, indicating more coordinated development, and with a decreasing polarization trend. The spatial distributions of the coupling coordination degree and the relative development index are higher in the north and lower in the south, with many areas showing high adjustment, low adjustment, and high antagonism, particularly in the south where the number of high antagonistic areas has decreased. Implementing differentiated development strategies between the north and the south, using spatial agglomeration characteristics to optimize regional policies, focusing on the diffusion effects of high-coupling coordination areas to drive the development of low-growth and transitional areas, and enhancing the lagged terms can promote sustainable coordinated agricultural development.

Monitoring the Cost and Affordability of a Healthy Diet within Countries: Building Systems in Ethiopia, Ghana, Malawi, Nigeria, Pakistan, Tanzania, and Viet Nam.

Background: Governments around the world collect food price data on a frequent basis, often monthly, for the purpose of monitoring inflation. These routine economic data can be used with a nutrition-sensitive lens for understanding economic access to a healthy diet. The Food and Agriculture Organization of the United Nations has adopted the cost and affordability of a healthy diet (CoAHD) for annual tracking alongside other food security indicators. This indicator is relevant in many countries for informed decision-making and accountability toward Food Systems Summit pathways. National governments may wish to include this indicator in their own monitoring systems, using existing subnational price and income data. Objectives: We describe emerging systems in several countries for monitoring CoAHD and analytical tools that facilitate the calculation of CoAHD. We discuss reasons why the indicator may differ when calculated using subnational data compared with the global monitoring system and how to interpret differences. Methods: Between June 2016 and February 2024, 19 workshops were held in 7 countries (Ethiopia, Ghana, Malawi, Nigeria, Pakistan, Tanzania, and Viet Nam), where stakeholder discussions covered sources of food price data, institutions involved, policy uses, and direct training in calculation of CoAHD. Food price data collected by national organizations were used to calculate CoAHD in partnership with government agencies. Results: Calculating CoAHD using subnational data uses the same methods across settings, but the mechanisms for monitoring and dissemination are different in each country, illustrating heterogeneity in how the metric can most effectively be incorporated within existing structures. Results from national and global monitoring systems have expected differences based on data sources, healthy diet standards, and affordability standards. Conclusions: CoAHD can be calculated with existing data and resources, facilitated by new software tools and user tutorials. In the future, it can be further streamlined, leveraging technical assistance from global institutions and aligning national and global monitoring systems.

A new framework on climate-induced food-security risk for small-scale fishing communities in Tanzania.

Food insecurity is a pressing issue facing our world, particularly affecting coastal communities who rely on marine resources. The problem is further compounded by the rapidly changing climate, a deteriorating environment and growing human populations. It is essential to evaluate this issue accurately to reduce risk and improve the situation of coastal communities, especially in countries with less socioeconomic development. To this end, we develop a food security social-ecological risk assessment framework for developing communities in coastal areas of the Western Indian Ocean facing a changing environment. The framework integrates local ecological knowledge, expert scientific opinion, survey data, and satellite sea surface temperature (SST) and chlorophyll-a observation. We conducted a local-scale case study in four regions in Tanzania; Mafia, Pemba, Tanga, and Unguja, revealing that they face moderate to high risk levels of food insecurity. The highest risk was observed in the island communities of Pemba and Unguja, while the communities of Mafia and Tanga had the lowest risk due to lower exposure and sensitivity to climate change. Our results show that recognizing the key differences across risk components is crucial in identifying effective intervention strategies for local practitioners. This study highlights the need for detailed assessments to provide accurate information on local-scale food security dynamics, specifically when assessing impacts induced by environmental and climatic changes. Supplementary Information: The online version contains supplementary material available at 10.1007/s12571-024-01472-x.

What do you want to eat? Cuisine and nutrition intervention preferences among people using a large food pantry in Texas.

Objective: Nutrition interventions delivered through food pantries could reduce health disparities for people experiencing food insecurity. We identified clients' preferences for cuisines, nutrition interventions, and outcomes and whether preferences differ for subpopulations. Methods: Cross-sectional study at a large pantry in Dallas, Texas (N = 200). Survey collected from February-May 2023 on demographics, cuisine preferences, nutrition intervention preferences, and outcomes clients hope to achieve when changing lifestyle (weight loss, feeling comfortable in clothes, feeling good about diet, wellbeing). A subsample (N = 130) had height and weight measured. We tested whether food security and BMI (categorical) were associated with intervention or outcome preferences using IBM SPSS Statistics (Version 29) to conduct analysis of variance. Results: Top-rated cuisines were Mexican, Chinese, Italian. Participants reported a desire for interventions implemented through the pantry reflected by high Nutrition Intervention Index scores. The highest rated intervention was bringing more healthy food into the pantry and lowest rated was restricting unhealthy donations.Overall wellbeing was the most important outcome and weight loss the least important.Neither food security nor BMI were associated with desire for interventions. All outcomes were rated in a similar pattern, though people with obesity and overweight rated weight loss as more important than people with normal weight. Conclusions: Most participants demonstrated a strong desire for healthier, ethnically diverse options, and nutrition interventions delivered through the pantry. Our findings explore cuisines and outcomes preferred by people that use food pantries which can guide researchers, clinicians, and non-profit organizations in planning and promotion of nutrition programs for pantry clients.