Background: Skin carotenoids measured by reflection spectroscopy (RS) score as a biomarker of fruit and vegetable (F/V) intake has not been used extensively in USA minority populations, and there are concerns about the impact of skin tone on the validity of skin carotenoid scores as a biomarker of F/V intake. Methods: The aim of this study was to examine the relationship between skin carotenoids measured by RS score, plasma carotenoids, dietary carotenoids, and F/V intake in African American/Black college students and explore the effect of skin tone on RS score readings. One hundred African American/Black students at a Historically Black Colleges and Universities institution participated in this study. RS score was assessed by Veggie Meter, plasma carotenoids measured by high performance liquid chromatography, and dietary carotenoids and F/V intake were estimated by a weekly food frequency questionnaire (FFQ). Skin tone was matched visually and read using a skin swatch on a scale of 1-15, 1 being the lightest and 15 being the darkest. Correlations between RS scores with total plasma carotenoid concentrations, dietary carotenoids, and F/V intake were examined. Multiple linear regression analysis was conducted to assess the relationship of skin tone at the fingertip and inner arm, BMI, and %body fat on the correlation between RS and total plasma carotenoid levels. Results: Skin carotenoid levels indicated by RS scores were correlated with total plasma carotenoid concentrations (R= 0.595, p

Fermented foods play an important role in the human diet and particularly so in under-resourced environments where cold preservation is not attainable due to irregular supply of electricity. Fermented foods are reported to support gut health by contributing probiotics. The purpose of this study was to investigate the microbial diversity and metabolic potential of spontaneous millet fermentation. The literature in the field was reviewed and analyses were conducted on publicly available Sequence Read Archive (SRA) datasets. Quality analysis was performed with FastQC, and operational taxonomic units (OTUs) were generated using Quantitative Insights Into Microbial Ecology (QIIME2) and Divisive Amplicon Denoising Algorithm (DADA2) pipelines with Greengenes as the reference database. Metagenomics and pathways analysis were performed with Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt2). Statistical analysis and visualization were accomplished with Statistical Analysis of Metagenomic Profiles (STAMP). At the family taxonomic level, there were differences in the relative abundances of the dominant taxa of bacteria that are involved in the spontaneous fermentation of millet namely Lactobacillaceae, Burkholderiaceae, Streptococcaceae, Leuconostocaceae, and Acetobacteraceae. Clostridiaceae was the dominant family in one dataset. The incidence of Lactobacillaceae and Bifidobacteriaceae suggest the probiotic characteristics of fermented millet. The datasets were collected with fermentations that were mediated by autochthonous microorganisms and the presence of some potential pathogens such as Enterobacteriaceae, Clostridiaceae, Aeromonadaceae, Microbacteiaceae, Pseudomonadaceae, and Neisseriaceae which suggest the need for standardization of fermentation approaches. The genomes show the potential to synthesize metabolites such as essential amino acids and vitamins, suggesting that the respective fermented foods can be further optimized to enhance nutritional benefits.

Fermented foods play an important role in the human diet and particularly so in under-resourced environments where cold preservation is not attainable due to irregular supply of electricity. Fermented foods are reported to support gut health by contributing probiotics and the purpose of this study was to investigate the microbial diversity and metabolic potential of spontaneous millet fermentation. The literature in the field was reviewed and analysis conducted on publicly available Sequence Read Archive (SRA) datasets. Quality analysis was performed with FastQC, and operational taxonomic units (OTUs) generated using Quantitative Insights Into Microbial Ecology (QIIME2) and Divisive Amplicon Denoising Algorithm (DADA2) pipeline with Greengenes as the reference database. Metagenomics and pathways analysis were performed with Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt2). Statistical analysis and visualization were accomplished with Statistical Analysis of Metagenomic Profiles (STAMP). At the family taxonomic level, there were significant differences in the relative abundances of bacteria involved in the spontaneous fermentation of millet namely, Lactobacillaceae, Leuconostocaceae, and Clostridiaceae in one dataset. The incidence of Lactobacillaceae and Bifidobacteriaceae suggest the probiotic characteristic of fermented millet. The datasets were collected with fermentations mediated by autochthonous microorganisms and the presence of some potential pathogens such as Enterobacteriaceae, Clostridiaceae, Aeromonadaceae, Microbacteiaceae, Pseudomonadaceae, and Neisseriaceae suggest the need for standardization of fermentation approaches. The genomes show the potential to synthesize metabolites such as vitamins suggesting that the respective fermented foods can be further optimized to enhance nutritional benefits.

Food fermentation is a widely used processing technique that enhances sensory properties, shelf life, and nutritional value, partly through the activity of beneficial microorganisms. This study investigated the microbial communities associated with traditional pearl millet fermentation and their potential nutritional contributions. Pearl millet (TiftLHB open-pollinated variety) was obtained from USDA-ARS and subjected to spontaneous fermentation in sterilized water at 28 ± 2 °C for 72 hours, followed by wet milling and an additional 72-hour fermentation. Microbial DNA was extracted, and 16S rRNA amplicon sequencing was performed after PCR amplification and quality control. Sequence data were analyzed using DADA2 and PICRUSt2 pipelines for taxonomic and functional prediction. The dominant bacterial genera identified were Weissella and Lactobacillus, both commonly associated with cereal fermentations. Weissella is known for reducing antinutrients and contributing to folate production, while the overall microbial profile was consistent with reports from other regions, including the presence of lactic acid bacteria such as Leuconostoc. These findings suggest that spontaneous fermentation of pearl millet supports microbial communities with potential nutritional and functional benefits. Metagenomic approaches may provide an effective strategy for identifying and optimizing beneficial microorganisms to enhance the nutritional quality and health-promoting properties of fermented cereal-based foods.