The COVID-19 pandemic increased the need for food assistance due to surging unemployment, the closure of in-person schooling, and other factors. This posed a historic challenge to organizations that address food insecurity: meeting the surging need for food while minimizing COVID-19 transmission. This study aimed to identify how food insecurity program operations changed during the pandemic and to examine the facilitators/successes and barriers/challenges to operations. Semi-structured interviews were conducted with staff at 13 organizations involved in addressing food insecurity in Detroit during the pandemic. Interviews were coded by two coders, summarized, and then used to create matrices and concept map displays for each organization. We found that nearly all programs changed to a contactless food distribution format, and most programs experienced an increase in demand for food. Common successes/facilitators included keeping clients and staff safe from COVID-19 and waivers that eased program rules. Common challenges/barriers included the increased need for labor and food. Lack of funding was a barrier for some organizations, and others that experienced an increase in funding reported that it facilitated their work. This research identified the needs of programs addressing food insecurity during the COVID-19 pandemic, which can inform future disaster planning.

Institutional dining halls increasingly serve plant-based meat products, yet it remains unclear how consumers perceive these products relative to animal-based options in real-world settings. This study compares consumer sensory perceptions of two plant-based meatballs (soy, soy-wheat) and two animal-based meatballs (beef, beef-mushroom) among university dining hall patrons (n=116), complemented by instrumental Texture Profile Analysis. Animal-based meatballs received significantly higher ratings for moistness, meatiness, fattiness, and tastiness (all p<0.001), with the meatiness gap being the largest (Δ=1.40 on a 5-point scale). Texture analysis revealed that animal-based samples were significantly harder, more cohesive, and chewier than plant-based samples. In contrast, consumers perceived no differences in chewiness or hardness between categories, revealing a disconnect between instrumental and sensory measures. Just-About-Right penalty analysis identified insufficient savoriness as a universal improvement target across all products, including beef. Flavor and texture emerged as the dominant drivers of dining choice, while sustainability and animal welfare ranked lowest in importance. These findings suggest that sensory parity - particularly in moistness, meatiness, and savoriness - may drive acceptance of plant-based meat more strongly than sustainability messaging. Data and code are available at https://github.com/LivingMatterLab/AI4Food.

Texture shapes how we perceive and like food, yet clear links between mechanical measurements and sensory perception of texture remain elusive. Here we combine sensory data from a blind tasting involving 101 participants with mechanical texture profile analysis across six burgers to identify the textural features that drive consumer perception and liking. We compare five burgers—generated via artificial intelligence—with animal-based, plant-based, mushroom-based, and hybrid animal-mushroom patties, and the classical Big Mac^®. Three main findings emerge: First, animal-based burgers occupy a distinctive and coherent sensory–mechanical region associated with attributes such as firm, fatty, and holds together. Second, mushroom- and plant-based burgers deviate from this region in protein-dependent ways: mushroom-based burgers are associated with springy and gummy textures, while plant-based burgers are associated with dry, brittle, and crumbly textures. Hybrid animal–mushroom burgers, however, maintain sensory profiles comparable to fully animal-based burgers. Third, resilience emerges as the strongest mechanical correlate of perceived meatiness and sensory texture, while stiffness and hardness show no statistically significant association with consumer perception. Texture independently predicts overall liking alongside flavor: increasing texture liking by one point increases overall liking by 0.28. Among all sensory attributes, meatiness is the dominant predictor of texture liking. These findings suggest that resilience may be a promising target for texture engineering and establish texture as a critical design objective for sustainable alternative proteins.

Objective: To explore the relationship between type of grocery store used (chain vs. independent), transportation access, food insecurity, and fruit and vegetable intake in Detroit, Michigan, USA, during the COVID-19 pandemic. Design: A cross-sectional online survey was conducted from December 2021 to May 2022. Setting: Detroit, Michigan. Participants: 656 Detroit residents aged 18 and older. Results: Bivariate analyses showed that chain grocery store shoppers reported significantly greater fruit and vegetable intake (2.42 vs. 2.14 times/day for independent grocery store shoppers, p < 0.001) and lower rates of food insecurity compared to independent store shoppers (45.9% vs. 65.3% for independent grocery store shoppers, p < 0.001). Fewer independent store shoppers used their own vehicle (52.9% vs. 76.2% for chain store shoppers, p < 0.001). After adjusting for socioeconomic and demographic variables transportation access was strongly associated with increased odds of shopping at chain stores (OR = 1.89, 95% CI [1.21,2.95], p = 0.005) but food insecurity was no longer associated with grocery store type. Shopping at chain grocery stores was associated with higher fruit and vegetable intake after adjusting for covariates (1.18 times more per day, p = 0.042). Qualitative responses highlighted systemic barriers, including poor food quality, high costs, and limited transportation options, exacerbating food access inequities. Conclusions: These disparities underscore the need for targeted interventions to improve transportation options and support food security in vulnerable populations, particularly in urban areas like Detroit. Addressing these structural challenges is essential for reducing food insecurity and promoting equitable access to nutritious foods.

Texture is one of the major barriers to acceptance of sustainable protein products, yet the relationship between instrumental texture and consumer perception remains poorly understood. Here we combined consumer sensory evaluation and texture profile analysis to identify the factors that drive burger acceptance across blended, animal-based, and plant-based formulations. A total of 472 diners evaluated beef-mushroom ( n = 171), turkey ( n = 100), bean ( n = 100), and pea ( n = 101) burgers served in Stanford University dining halls, while texture profile analysis quantified physical texture ( n = 10 per product). The beef-mushroom burger achieved the highest ratings for meatiness (77.0/100), tastiness (69.4/100), and moistness (61.8/100), and 78% of consumers rated its moistness as just-about-right. Although the pea burger exhibited mechanical properties similar to the beef-mushroom burger, including indistinguishable cohesiveness values (0.53 vs. 0.53), it received substantially lower ratings for meatiness (56.1 vs. 77.0), indicating that mechanical similarity alone does not ensure consumer acceptance. Across products, moistness emerged as the primary sensory limitation, with 58% of turkey consumers and 46% of bean consumers reporting insufficient moisture. Cohesiveness showed the strongest association with perceived meatiness ( r = 0.82). These findings demonstrate that successful burger reformulation requires more than mechanical matching; products must reproduce the moisture, flavor, and eating experience associated with meat. Blended burgers may represent the most practical near-term strategy for reducing meat consumption without compromising eating quality.

Plant-based seafood alternatives could reduce pressure on marine ecosystems, yet texture gaps between plant-based and conventional products limit consumer adoption. This study compared the textural properties and consumer acceptance of plant-based and conventional breaded shrimp to evaluate whether instrumental texture differences predict sensory differences. Texture Profile Analysis (TPA) was performed on four breaded shrimp products (n = 14–15 replicates per product), and consumer sensory evaluation (n = 107) used a within-subjects counterbalanced design assessing hedonic ratings, Just-About-Right attributes, Check-All-That-Apply descriptors, and purchase intent. TPA revealed that plant-based shrimp exhibited significantly higher hardness (14.9 ± 1.0 N vs. 9.6 ± 2.8 N), stiffness (592 ± 40 kPa vs. 382 ± 113 kPa), and chewiness (10.5 ± 0.8 N vs. 2.5 ± 1.1 N) compared to conventional shrimp (all p < 0.0001). However, consumer sensory evaluation revealed no significant differences between products for any hedonic attribute, JAR rating, CATA descriptor, or purchase intent (all p > 0.05 after FDR correction). Despite 1.6-fold greater hardness and 4.2-fold greater chewiness, plant-based breaded shrimp received comparable hedonic ratings to conventional shrimp, suggesting that the breaded format masks mechanical texture differences. Achieving TPA parity may not be necessary for consumer acceptance in breaded seafood applications. Highlights: Plant-based shrimp is 1.6× harder and 4.2× chewier than conventional Consumers reported no significant sensory differences between products Breaded format masks instrumental texture differences TPA parity may not be required for consumer acceptance