Electrochemical Peptide-Based Sensors for Foodborne Pathogens Detection

Food safety and quality control pose serious issues to food industry and public health domains, in general, with direct effects on consumers. Any physical, chemical, or biological unexpected or unidentified food constituent may exhibit harmful effects on people and animals from mild to severe reactions. According to the World Health Organization (WHO), unsafe foodstuffs are especially dangerous for infants, young children, elderly, and chronic patients. It is imperative to continuously develop new technologies to detect foodborne pathogens and contaminants in order to aid the strengthening of healthcare and economic systems. In recent years, peptide-based sensors gained much attention in the field of food research as an alternative to immuno-, apta-, or DNA-based sensors. This review presents an overview of the electrochemical biosensors using peptides as molecular bio-recognition elements published mainly in the last decade, highlighting their possible application for rapid, non-destructive, and in situ analysis of food samples. Comparison with peptide-based optical and piezoelectrical sensors in terms of analytical performance is presented. Methods of foodstuffs pretreatment are also discussed.

Dietary Plant-Origin Bio-Active Compounds, Intestinal Functionality, and Microbiome

In recent years, plant-origin bio-active compounds in foods (staple crops, fruit, vegetables, and others) have been gaining interest, and processes to consider them for public health recommendations are being presented and discussed in the literature. However, at times, it may be challenging to demonstrate causality, and there often is not a single compound–single effect relationship. Furthermore, it was suggested that health benefits may be due to metabolites produced by the host or gut microbiome rather than the food constituent per se. Over the years, compounds that were investigated were shown to increase gut microbial diversity, improve endothelial function, improve cognitive function, reduce bone loss, and many others. More recently, an additional and significant body of evidence further demonstrated the nutritional role and potential effects that plant-origin bio-active compounds might have on intestinal functionality (specifically the duodenal brush border membrane, morphology, and the abundance of health-promoting bacterial populations). Hence, the special issue “Dietary Plant-Origin Bio-Active Compounds, Intestinal Functionality, and Microbiome” comprises 11 peer-reviewed papers on the most recent evidence regarding the potential dietary intake and effects of plant-origin bio-active compounds on intestinal functionality, primarily in the context of brush border functional proteins (enzymes and transporters), mineral (and other nutrients) dietary bioavailability, and the intestinal microbiome. Original contributions and literature reviews further demonstrated the potential dietary relevance that plant bio-active compounds hold in human health and development. This editorial provides a brief and concise overview that addresses and summarizes the content of the Dietary Plant-Origin Bio-Active Compounds, Intestinal Functionality, and Microbiome special issue.

(Poly)phenolic Content and Profile and Antioxidant Capacity of Whole-Grain Cookies are Better Estimated by Simulated Digestion than Chemical Extraction

It is widely recognized that the biological effects of phytochemicals cannot be attributed to the native compounds present in foods but rather to their metabolites endogenously released after intake. Bioavailability depends on bioaccessibility, which is the amount of the food constituent that is released from the matrix in the gastrointestinal tract. The use of chemical extraction to evaluate the content and profile of phytochemicals does not mirror the physiological situation in vivo, and their bioaccessibility should be considered while assessing their nutritional significance in human health. The current study was designed to compare the (poly)phenolic profile and content and antioxidant capacity of whole-grain (WG) cookies using chemical extraction and a more physiological approach based on simulated digestion. Three types of organic WG cookies (made with durum, Italian khorasan, or KAMUT® khorasan wheat) were considered, either fermented by Saccharomyces Cerevisiae or sourdough. Although the flour type and the fermentation process influenced the release of phytochemicals from the cookie matrix, in almost all samples, the simulated digestion appeared the most efficient procedure. Our results indicate that the use of chemical extraction for evaluation of the phytochemicals content and antioxidant capacity of food could lead to underestimation and underline the need for more physiological extraction methods.

Determination of Ascorbic Acid Concentration in Commercially Available Fruit Drinks in Bangladesh

Aim: Ascorbic acid (vitamin C) is the most important food constituent because of its antioxidant and functional activity. The study aims to determine the Vitamin C content in commercially available fruit drinks collected from selected shops in Bangladesh. Study Design: This study is an experimental study. Place and Duration of Study: The present study was conducted in the food analysis laboratory of Department Food Technology and Nutrition Science, Noakhali Science and Technology University, from January 2019 to May 2019. In the present study, a total of 22 branded different fruit drinks samples (orange, mango, lichi) were collected from the local market of Noakhali, Bangladesh. Methodology: Vitamin C was analyzed with the titrimetric method and Sugar content, pH was also successfully determined by refractometer, pH meter respectively. Results: The analyzed Vitamin C was found in the range of 2.96 to 70 mg/100 ml. Sugar content, pH was also successfully determined from the samples. The majority of the samples were found less in vitamin C concentration while only two samples (samples 3, 18) were found high the vitamin C concentration. Conclusion: From the above study, titrimetric analysis proves itself as a scientific method in the determination of vitamin C concentration in the samples.

Tissue Changes in the Development of Fatty Liver by Chronic Ingestion of Sucrose Associated with Obesity and Dyslipidemia in Rats

A diet high in sucrose, which is a common food constituent, induces obesity and non- alcoholic fatty liver (NFLD) caused by high caloric intake; however, it is important to investigate those sequential changes in the hepatic parenchyma related to sugar consumption which are associated to obesity and dyslipidemia. We analyzed the effects of long-term sucrose intake on fatty liver development, by the administration of 30% sucrose in drinking water in healthy Wistar rats during 30 weeks. Serum variables, body fat index, caloric intake and microscopic examination of liver tissue were monitored. In the first week, grade 1 steatosis was observed with ballooned hepatocytes, with a caloric intake of 125 ± 1.90 kcal / day / 100 g of body weight; together with a gain of 71% in abdominal fat with respect to the control group and dyslipidemia. During the 10 to 20 weeks period, steatosis grade 2 with noticeable inflammation (steatohepatitis), polymorphic cells and ballooned hepatocytes were evident. After 10 weeks, the caloric intake was 72.9 ± 5.99 kcal / day / 100 g of body weight with 199% of gain in abdominal fat in SUC groups with respect control group (p < 0.01) and moderate dyslipidemia; while after 20 weeks, the caloric intake was 61.6 ± 4.65 kcal / day / 100 g of body weight with 208% of gain in abdominal fat and also moderate dyslipidemia. After 30 weeks steatosis grade 3 with marked inflammation (steatohepatitis), periportal fibrosis, globose and fat-filled hepatocytes were observed, with a caloric intake of 52.3 ± 3.05 kcal / day / 100 g of body weight and 232% of gain in abdominal fat that was related to severe dyslipidemia. In conclusion, the sequential changes in the development of NAFLD were associated with the ingestion of sucrose and obesity since the first week of administration.

Deep learning improves prediction of drug–drug and drug–food interactions

Drug interactions, including drug–drug interactions (DDIs) and drug–food constituent interactions (DFIs), can trigger unexpected pharmacological effects, including adverse drug events (ADEs), with causal mechanisms often unknown. Several computational methods have been developed to better understand drug interactions, especially for DDIs. However, these methods do not provide sufficient details beyond the chance of DDI occurrence, or require detailed drug information often unavailable for DDI prediction. Here, we report development of a computational framework DeepDDI that uses names of drug–drug or drug–food constituent pairs and their structural information as inputs to accurately generate 86 important DDI types as outputs of human-readable sentences. DeepDDI uses deep neural network with its optimized prediction performance and predicts 86 DDI types with a mean accuracy of 92.4% using the DrugBank gold standard DDI dataset covering 192,284 DDIs contributed by 191,878 drug pairs. DeepDDI is used to suggest potential causal mechanisms for the reported ADEs of 9,284 drug pairs, and also predict alternative drug candidates for 62,707 drug pairs having negative health effects. Furthermore, DeepDDI is applied to 3,288,157 drug–food constituent pairs (2,159 approved drugs and 1,523 well-characterized food constituents) to predict DFIs. The effects of 256 food constituents on pharmacological effects of interacting drugs and bioactivities of 149 food constituents are predicted. These results suggest that DeepDDI can provide important information on drug prescription and even dietary suggestions while taking certain drugs and also guidelines during drug development.