Pepsi (United States)

Abstract Commercial potato in North America is a clonal autotetraploid crop, which complicates breeding. Efforts are underway to convert potato to a diploid inbred-hybrid crop that is amenable to additional breeding strategies and allows breeders to more quickly respond to demands for crop improvement. With the goal of preserving haplotypes developed over the last 200 years of selection, diploid potato breeding in the US started with the creation of diploids from tetraploid commercial varieties and advanced breeding lines through prickle pollination. This is an effective but slow method which presents a barrier to entry for individual breeding programs. Therefore, we developed 97 publicly available dihaploids (diploids from prickle pollination of tetraploids) as a resource for diploid breeding in the U.S. These clones contain the majority of alleles in the US breeding population for three market classes: chips, russets, and fresh market reds. To facilitate genomic informed breeding, all clones have been resequenced using short read sequencing technology, and we have developed de novo assemblies based on PacBio HiFi long reads for 20 individuals. As an illustration of how these data will be used in breeding, we explored the maturity locus (StCDF1) and identified 15 different alleles. The majority of dihaploids were heterozygous for early and late alleles, resulting in intermediate maturity. Beyond informing breeding, this data facilitates investigations into potato genomics. The dihaploid population is both highly heterozygous and incredibly diverse on a population level. In particular, there is extensive structural diversity, including copy number variation, segregating within the population. This contrasts with a relatively low genome-wide historical recombination rate (ρ). Taken together, these findings indicate that potato is highly diverse, with much of that diversity found within long linkage blocks.

To address limited data on whole grain (WG) consumption in the UK, we investigated trends and socio-demographic patterns of WG consumption from the National Diet and Nutrition Survey from 2008/2012 to 2016/2019 and examined the relationship between WG and dietary intakes. We analysed 15 655 individuals aged ≥ 1·5 years who completed a 4-day food diary. WG consumption was quantified by estimating the WG content of individual foods using publicly available ingredient information. Survey-weighted mean WG consumption over time and by population sub-group was calculated. Survey-weighted trend tests and Wald tests were used. Total WG intake in the general population did not change from 2008/2012 to 2016/2019. WG from high-fibre cereals and bread declined by 16·2 % (11·1–9·3 g/d) and 19·4 % (12·4–10 g/d), respectively, while other cereals (e.g. rice/pasta) increased by 72·5 % (4·0–6·9 g/d), but contributed considerably less than other categories. In the most recent data (2016–2019), older adults (65+ years) had the highest energy-adjusted WG consumption, followed by children 1·5–3 years. Individuals with lower incomes, adolescents and current smokers consumed the least WG. Whole grain intake was associated with generally higher quality diets, specifically consuming more fibre, potassium, Ca, Fe, Mg, fruits/vegetables, pulses/nuts and oily fish and consuming less free sugars, total fat, saturated fat, Na and red/processed meat (Ptrend < 0·001 for all). Despite some dietary improvements in the UK, WG intake appears unchanged from 2008/2012 to 2016/2019.

Digestive health issues, including irregular bowel movements (BM) and gastrointestinal (GI) symptoms, affect millions of people in the United States and are associated with higher risks of various diseases. This randomized, double-blind, placebo-controlled study investigated the potential of Bacillus coagulans Unique IS2 to improve stool characteristics and reduce GI symptoms. Following a 2-week run-in, 144 healthy adults were randomized in a 1:1 ratio to either B. coagulans Unique IS2 (2 billion colony forming units/day) or placebo for 4 weeks. Participants were included if they had an average weekly complete spontaneous bowel movement (SBM) of ≥3.0 and <7.0 during the run-in. The primary outcome was the change in BM frequency after 4 weeks. Secondary outcomes included change in stool consistency (assessed by the Bristol Stool Form Scale), GI symptoms and quality of life, gut microbiota composition, and the proportion of complete SBM to total BM. Safety was assessed by vital signs and reports of adverse events. After 4 weeks of supplementation with Unique IS2, there was a significant increase in BM frequency ( P = 0.037). Stool consistency significantly improved after each week in the Unique IS2 group (all P < 0.05) and was significantly improved compared to a placebo after 4 weeks ( P = 0.018), driven by a significant improvement in the incidence of hard stool ( P = 0.001). There was no effect of Unique IS2 supplementation on GI symptoms and quality of life (Gastrointestinal Quality of Life Index), gut microbiota composition (analysis of stool samples by 16S rRNA), or proportion of complete SBM to total BM. Unique IS2 was safe and well tolerated over the 4 weeks of supplementation. Our results suggest that B. coagulans Unique IS2 is a promising strategy to improve stool characteristics of individuals with hard stools and poor stool quality. Clinicaltrials.gov registration: NCT05123664.

Personalized nutrition (PN) aims to provide tailored dietary recommendations to improve a person's health outcomes by integrating a multitude of individual-level information and supporting desired behavior changes. The field is rapidly evolving with technological advances. As new biomarkers are discovered, wearables and other devices can now provide up-to-the-minute insights, and artificial intelligence and machine learning models support recommendations and lifestyle behavior change. Advancements in the field enhance the potential for tailored and effective programs but raise important questions regarding user safety, security, health, transparency, and privacy. The Personalized Nutrition Initiative at the University of Illinois held the workshop, "Challenges for Personalized Nutrition in the Current United States Regulatory Framework and Future Opportunities," to address regulatory implications of current PN programs, future innovation within the current framework, and existing complexities of oversight. A majority of PN programs combine multiple components, and these components may need to be regulated differently. The areas of food, supplements, in vitro diagnostics, and medical and wellness devices were described and discussed as they apply to PN programs. The speakers and discussants concluded that regulatory guidance for PN programs should focus on ensuring 1) safety and accuracy of the tests and devices, 2) credentialed and skilled experts develop the advice, 3) responsible and clear communication of information and benefits, 4) substantiation of scientific claims, and 5) procedures are implemented to protect user privacy. Furthermore, as this field incorporates new devices, biomarkers, behavior-based tools, and the integration of artificial intelligence and machine learning, the need to adapt the existing regulatory framework was also considered. Working closely with regulatory bodies is required and should be an opportunity to provide users with transparency, build trust, and create a source of differentiation for PN innovators.

This study attempts to quantify a relatively unexplored and very important subject: cellulose nanocrystal (CNC) bundles and their effective dimensions on phase separation and subsequent chiral resolution in CNC suspensions. Currently, there is little data discussing how effective bundle dimensions affect the onset of chiral nematic phase formation despite the fact that theory and experimental data indicate they are important factors. The effect of the extent of hydrolysis on the phase behavior of CNC suspensions was analyzed by correlating it with the critical weight concentration (w 0), which is the CNC weight corresponding to the onset of the chiral nematic phase. From Onsager theory and its extension, w 0 is primarily a function of CNC size while surface charge exerts a non-negligible effect. CNCs were produced from never-dried bleached softwood pulp under varying acid hydrolysis times to systematically alter sizes and surface charges. Concentration-dependent phase diagrams were mapped to ascertain the w 0 of the produced suspensions. The data revealed a clear decrease in w 0 when the hydrolysis time increased from 25 to 90 minutes, despite similar individual CNC size and increasing surface charges. This latter discovery following shape and size distribution indicated an increased area-equivalent (AE) diameter from extended hydrolysis, suggesting particle aggregation/bundling. This result was corroborated by elevated particle surface charges from enhanced lateral adherence between CNCs. In contrast to our findings that higher surface charge reduces the effective diameter, the observed decrease in w 0 suggests that an earlier onset of the anisotropic phase is driven by CNC bundles, which were more prevalent in samples with elevated surface charge. These observations indicate that CNC bundles play a significant role in promoting the anisotropic phase, counteracting the effect of surface charge on w 0. This work therefore provides invaluable insights into the complex interplay of CNC surface charge, shape, and size by shedding light on the importance of hydrolysis time on particle aggregation and phase behavior in CNC suspensions.

Chickpea is an important food legume that usually undergoes various processing treatments to enhance nutritional value and functional properties. This study aimed to investigate the effects of different cooking conditions on physicochemical, structural, and functional properties of chickpea, especially its protein macromolecules. Kabuli chickpea seeds were processed by water cooking at different temperatures (63, 79, 88, and 96°C), followed by evaluating flour solubility, water-holding capacity (WHC), pasting property, as well as the total protein profile and fractionated protein distributions. Cooking treatments significantly decreased flour solubility (from 39.45 to 25.21g/100g flour) and pasting viscosity (peak and final viscosities, from 1081 to 300.5cP and 1323 to 532cP, respectively), while increasing WHC (from 0.862 to 1.144g H2O/g flour) of chickpea flour (p<0.05). These behaviors were enhanced by increasing cooking temperature. Meanwhile, cooking induced a significant change of chickpea proteins, modifying the albumin- and globulin-like fractions of chickpea protein to display glutelin-like behavior. The current study provides potential approaches for manipulating chickpea flour functionalities (e.g., solubility, viscosity, and WHC) to address the process and product challenges and favor product innovation.

Conventional techniques used to measure oil content in the food are laborious, rely on chemical agents, and have a negative environmental impact. In this study, near-infrared hyperspectral imaging was used as a rapid and nondestructive tool to determine the oil content and its distribution in commercial flat-cooked and batch-cooked potato chips. By evaluating various algorithmic models, such as partial least-squares regression (PLSR), ridge regression, random forest, gradient boosting, and support vector regression, in combination with preprocessing methods like multiplicative scattering correction, standard normal variable (SNV) transform, Savitzky–Golay filtering, normalization, and baseline correction, the most effective preprocessing method and model combination was determined to be SNV-PLSR. Moreover, by employing the optimized PLSR model, a highly accurate oil content prediction model was developed, achieving a coefficient of determination (R2) of 0.95. To identify the wavelengths that contributed most significantly to the model's predictive power, variable importance in projection (VIP) analysis was utilized. A dimensionally reduced PLSR model using only 68 selected wavelengths was developed based on the VIP analysis. This simplified model maintained similar performance to that of the full-spectrum model while using a smaller data set. The model was also used to apply the hyperspectral images of potato chips at the pixel level to visualize the oil distribution in potato chips with the intent to provide a real-time approach to quality control for the potato chip industry.

Extracts made from the leaves of the edible mango plant (Mangifera indica L., Anacardiaceae) have a long history of medicinal usage, most likely due to the presence of high levels of mangiferin, a polyphenol compound. Previous research has demonstrated that mango leaf extract (MLE) can beneficially modulate cognitive function in both animals and humans. This study aimed to assess the effects of an acute dose of 300 mg MLE (standardised to contain ≥60% mangiferin) on cognitive performance and mood in healthy adults. In this double-blind, placebo-controlled, crossover study, 114 healthy men and women (18-43 years) received either MLE or a matched placebo at each testing visit (separated by at least 7 days). Cognitive performance (including the cognitive demand battery) and mood were measured at 30, 180, and 300 min post-dose. The results showed that, compared to placebo, the group taking MLE displayed a significant increase in serial 3 s and serial 7 s subtraction errors overall. There were no other significant effects on cognitive performance. The results of the current study suggest that the consumption of 300 mg MLE in the absence of an observed multitasking psychological stressor does not improve cognitive performance or mood at up to 300 min post-dose. Due to the very limited nature of the effects and since they were observed among many analyses, these findings should be treated with caution.Clinical trial registration: http://ClinicalTrials.gov, identifier [NCT05182450].

Rehydration is important for athlete performance and recovery. However, it can be challenging for athletes to follow appropriate fluid replacement practices due in part to difficulties in tracking fluid intake in real time. Therefore, a validated technology to measure fluid intake is needed. PURPOSE: To determine the accuracy of a smart bottle in measuring fluid intake during exercise. METHODS: Thirty male American football athletes (17-19 y; 92.4 ± 20.4 kg) drank ad libitum from 0.9 L-squeeze bottles equipped with a smart cap during pre-season outdoor practices (29.3 ± 3.0 °C, 75 ± 11% rh; 75-130 min). The smart bottle technology included sensors, microprocessors, LED indicators, batteries, and wireless connectivity integrated in the cap. Sensors in the cap measured, calculated, and transmitted fluid volume estimations to a smartphone application in real-time. Reference measurements of fluid intake from the smart bottle were determined by gravimetry followed by conversion to volume using the density of the fluid consumed (6% carbohydrate-electrolyte solution). Bottle measurements were obtained before, during (if refills were needed), and after practices to determine total fluid intake for each subject. Bottles were stored in ice chests on the sideline and players drank from individually-labeled bottles during practice. RESULTS: There was no significant mean difference in total fluid intake between the smart bottle and reference method (1220 ± 371 ml vs. 1236 ± 389 ml, p = 0.39 paired t-test). Bland-Altman 95% Limits of Agreement between methods was -212 to 180 ml. Based on Orthogonal (Deming) regression analysis, the slope and intercept of the regression line describing smart bottle vs. reference method fluid intake were not different from 1 (95% confidence interval (CI): 0.95, 1.15) and 0 (95% confidence interval: -178, 85), respectively. A Two One-Sided Tests analysis also suggested the two methods were equivalent (90% CI -46.93 ml, 15.10 ml; p < 0.01 for the pre-specified 10% Equivalence Interval). CONCLUSION: The smart bottle provided accurate measurements of fluid intake during exercise in real-world field conditions.

Evidence indicates that whole-grain food consumption reduces the risk of cardiovascular disease, type-2 diabetes, and some cancers. Increasing whole-grain consumption in developing countries is likely to significantly benefit the health of the population. However, there is very limited information on consumer whole-grain knowledge, attitudes, and behaviors in developing countries. An online cross-sectional survey was conducted among 1000 South African consumers with sufficient income to make food purchase choices and who were generally representative in terms of gender, age, and ethnicity. Most respondents (64%) were confident of their whole-grain knowledge. However, 60% of all participants selected incorrect definitions of whole grains. Whilst most correctly identified common cereals as whole grains, at most 50% of participants correctly identified common whole-grain foods. Also, whilst most (67%) thought that they were consuming enough whole grains, the majority (62%) underestimated the recommended level of consumption. Furthermore, respondent knowledge regarding whole-grain food attributes and the health benefits of whole-grain consumption was generally poor. Clearly, consumer-focused strategies are needed in developing countries to increase whole-grain food consumption to help the broader population achieve a healthy and sustainable diet. Actions proposed include: simple-to-understand information on whole-grain content relative to recommendations on food product labels, the provision of whole-grain foods in school nutrition schemes, and coordinated social and behavior change communication initiatives.