Among the most common medical problems experienced by older adults (over 60 years) are diabetes, Parkinson’s disease (PD), and erectile dysfunction (ED). The potential use of Mucuna pruriens in treating type 2 diabetes (T2D), PD, and ED is being investigated. Literature searches were conducted using the PubMed, MEDLINE, and Mendeley databases (1990–2023). Key words related to Mucuna pruriens, PD, diabetes, and EDs were used. An analysis of 26 preclinical and clinical trials suggested that Mucuna pruriens may be used to treat PD, diabetes, and ED. This study revealed a correlation between diabetes, Parkinson’s, and ED, with metabolic disorders being the common cause. Mucuna pruriens-based therapeutics could be a positive source of leva-dopa (LD) medications. It is well tolerated and beneficial for brain function and overall health. Evidence suggests that it has positive effects on libido, testosterone levels, and PD. It is important to note that PD and ED are linked by multiple mechanisms. In many clinical trials (in humans and animals), Mucuna pruriens were found to be effective at treating ED, PD, and diabetes. It is further necessary to conduct additional scientific studies to confirm the molecular mechanisms and biomarkers that link Mucuna pruriens phytochemicals with PD, ED, and diabetes.
Among the most common medical problems experienced by older adults (over 60 years) are diabetes, Parkinson’s disease (PD), and erectile dysfunction (ED). The potential use of Mucuna pruriens in treating type 2 diabetes (T2D), PD, and ED is being investigated. Literature searches were conducted using the PubMed, MEDLINE, and Mendeley databases (1990–2023). Key words related to Mucuna pruriens, PD, diabetes, and EDs were used. An analysis of 26 preclinical and clinical trials suggested that Mucuna pruriens may be used to treat PD, diabetes, and ED. This study revealed a correlation between diabetes, Parkinson’s, and ED, with metabolic disorders being the common cause. Mucuna pruriens-based therapeutics could be a positive source of leva-dopa (LD) medications. It is well tolerated and beneficial for brain function and overall health. Evidence suggests that it has positive effects on libido, testosterone levels, and PD. It is important to note that PD and ED are linked by multiple mechanisms. In many clinical trials (in humans and animals), Mucuna pruriens were found to be effective at treating ED, PD, and diabetes. It is further necessary to conduct additional scientific studies to confirm the molecular mechanisms and biomarkers that link Mucuna pruriens phytochemicals with PD, ED, and diabetes.
Agriculture is pivotal in securing global food security and sustainability, especially in pressing challenges such as climate change, population growth, and resource depletion. This review examines the interconnections between agriculture, food security, and sustainability, focusing on current challenges, innovations, and strategies to address these critical issues. The global demand for food is projected to increase substantially, necessitating agricultural systems that boost productivity and ensure environmental sustainability. However, conventional farming practices have exacerbated soil degradation, water scarcity, and greenhouse gas emissions, posing significant threats to long-term food security. This review aims to evaluate the role of sustainable agricultural practices in enhancing food security while mitigating environmental impacts. It also identifies existing gaps in farming systems and explores innovative solutions to promote resilient and sustainable food systems. A comprehensive review of peer-reviewed literature, policy documents, and global agricultural reports was conducted. The analysis focuses on key themes such as sustainable farming practices, the impacts of climate change on agriculture, advancements in agrotechnology, and the socio-economic dimensions of food security. Synthesized findings provide actionable insights into best practices and emerging trends. Sustainable agriculture offers a viable pathway to address the dual challenges of food security and environmental conservation. Precision farming, agroecology, and regenerative agriculture enhance productivity while preserving resources and reducing ecological footprints. Integrating advanced technologies, including artificial intelligence and genetic innovations, can optimize agricultural efficiency. However, global food security requires coordinated efforts among governments, the private sector, and local communities to implement equitable resource distribution and climate-resilient policies. Future research should prioritize scalable, region-specific solutions that align with sustainability principles to ensure a secure and resilient global food system.
Agriculture is pivotal in securing global food security and sustainability, especially in pressing challenges such as climate change, population growth, and resource depletion. This review examines the interconnections between agriculture, food security, and sustainability, focusing on current challenges, innovations, and strategies to address these critical issues. The global demand for food is projected to increase substantially, necessitating agricultural systems that boost productivity and ensure environmental sustainability. However, conventional farming practices have exacerbated soil degradation, water scarcity, and greenhouse gas emissions, posing significant threats to long-term food security. This review aims to evaluate the role of sustainable agricultural practices in enhancing food security while mitigating environmental impacts. It also identifies existing gaps in farming systems and explores innovative solutions to promote resilient and sustainable food systems. A comprehensive review of peer-reviewed literature, policy documents, and global agricultural reports was conducted. The analysis focuses on key themes such as sustainable farming practices, the impacts of climate change on agriculture, advancements in agrotechnology, and the socio-economic dimensions of food security. Synthesized findings provide actionable insights into best practices and emerging trends. Sustainable agriculture offers a viable pathway to address the dual challenges of food security and environmental conservation. Precision farming, agroecology, and regenerative agriculture enhance productivity while preserving resources and reducing ecological footprints. Integrating advanced technologies, including artificial intelligence and genetic innovations, can optimize agricultural efficiency. However, global food security requires coordinated efforts among governments, the private sector, and local communities to implement equitable resource distribution and climate-resilient policies. Future research should prioritize scalable, region-specific solutions that align with sustainability principles to ensure a secure and resilient global food system.
The study investigated the role of probiotics and prebiotics in treating COVID-19. It focuses on their mechanisms of action in modulating the immune system and mitigating the disease’s impact. The research focused on the significance of the gut-lung axis and the potential benefits of probiotics and prebiotics against COVID-19. The research identified several findings: probiotics have shown potential in reducing the severity of COVID-19 symptoms and improving patient outcomes. The gut microbiota plays a critical role in the body’s immune response to COVID-19, with probiotics aiding in restoring its balance. Both can modulate the immune system, reducing the inflammatory response associated with COVID-19. While there is evidence supporting the benefits of probiotics and prebiotics, limitations exist due to the lack of studies on their use to improve COVID-19 outcomes. The originality of the study is focused on the gut-lung axis and the review of probiotics and prebiotics as potential therapies for COVID-19. By analyzing recent literature, the research contributes to understanding the interactions between diet, gut health, and respiratory infections. It also shows the need for further studies to determine the efficacy of COVID-19, toward new directions for research in the emerging field.
The study investigated the role of probiotics and prebiotics in treating COVID-19. It focuses on their mechanisms of action in modulating the immune system and mitigating the disease’s impact. The research focused on the significance of the gut-lung axis and the potential benefits of probiotics and prebiotics against COVID-19. The research identified several findings: probiotics have shown potential in reducing the severity of COVID-19 symptoms and improving patient outcomes. The gut microbiota plays a critical role in the body’s immune response to COVID-19, with probiotics aiding in restoring its balance. Both can modulate the immune system, reducing the inflammatory response associated with COVID-19. While there is evidence supporting the benefits of probiotics and prebiotics, limitations exist due to the lack of studies on their use to improve COVID-19 outcomes. The originality of the study is focused on the gut-lung axis and the review of probiotics and prebiotics as potential therapies for COVID-19. By analyzing recent literature, the research contributes to understanding the interactions between diet, gut health, and respiratory infections. It also shows the need for further studies to determine the efficacy of COVID-19, toward new directions for research in the emerging field.
Single tests have been used for the sensory evaluation of food. Although food color is the first perception used to determine acceptability, this study was performed to enhance the reliability of evaluations of the visual palatability of the crumb of bread (bread crumb) by reducing ambiguity in the tests.
The optimal illumination color temperature to enhance the visual palatability of white bread crumb was determined by sensory evaluation using photographs with 13 participants in the main test and 27 participants in the retest, and correlations with visual palatability were assessed using coefficients of determination (R2).
Illumination color temperature showed a linear relation with the visual palatability of photographs of the crumb, while the light source with the lowest color temperature was associated with lower palatability scores compared to those with a slightly higher color temperature, as shown by duplicate tests. Ultraviolet (UV) illumination was also added as a purple and blue light source, and the linear correlation between visual palatability and visual firmness showed a high R2. Sensory evaluation measurement using a projector, instead of paper-based measurement, was also examined as a simpler method without the need for paper. The correlations with sensory scores showed correspondence between these measurements.
High sensory scores for visual palatability were associated with lower visual firmness scores, even with the addition of data obtained under UV light. In addition, sensory evaluation measurement using a projector was confirmed to be useful. Finally, the optimal light source for the crumb of white bread was TL83. While warmer illumination has conventionally been preferred to enhance consumer food acceptance, the results presented here highlight the need for a detailed analysis of the effects of illumination color temperature on visual palatability.
Single tests have been used for the sensory evaluation of food. Although food color is the first perception used to determine acceptability, this study was performed to enhance the reliability of evaluations of the visual palatability of the crumb of bread (bread crumb) by reducing ambiguity in the tests.
The optimal illumination color temperature to enhance the visual palatability of white bread crumb was determined by sensory evaluation using photographs with 13 participants in the main test and 27 participants in the retest, and correlations with visual palatability were assessed using coefficients of determination (R2).
Illumination color temperature showed a linear relation with the visual palatability of photographs of the crumb, while the light source with the lowest color temperature was associated with lower palatability scores compared to those with a slightly higher color temperature, as shown by duplicate tests. Ultraviolet (UV) illumination was also added as a purple and blue light source, and the linear correlation between visual palatability and visual firmness showed a high R2. Sensory evaluation measurement using a projector, instead of paper-based measurement, was also examined as a simpler method without the need for paper. The correlations with sensory scores showed correspondence between these measurements.
High sensory scores for visual palatability were associated with lower visual firmness scores, even with the addition of data obtained under UV light. In addition, sensory evaluation measurement using a projector was confirmed to be useful. Finally, the optimal light source for the crumb of white bread was TL83. While warmer illumination has conventionally been preferred to enhance consumer food acceptance, the results presented here highlight the need for a detailed analysis of the effects of illumination color temperature on visual palatability.
Ketogenic diets are emerging dietary patterns that have demonstrated potential as therapeutic tools in a variety of symptoms and conditions, such as epileptic seizures, diabetes, obesity, cancer, migraines, and metabolic syndrome. This narrative review examines the therapeutic effects of ketogenic diets on physiological and mental health, including their role in modulating the gut microbiome. Ketogenic diets promote weight loss, enhance insulin sensitivity, and may lower dyslipidemia, which are crucial factors in preventing cardio-metabolic diseases. They also play a significant role in the composition and function of the gut microbiome, serving as a therapeutic approach to control autoimmune diseases, given their effectiveness in reducing pro-inflammatory cells. Conversely, a potential downside of these diets is the decrease in beneficial bacteria that have been positively associated with human health. Regarding mental health, ketogenic diets have the capability to stabilize neural networks, improve neuroplasticity, and exert direct benefits in brain bioenergetics, thereby potentially alleviating the symptoms related to several mental conditions, such as epilepsy, anxiety, depression, schizophrenia, bipolar disorder, autism spectrum disorder, and certain neurodegenerative diseases. However, more randomized, long-term studies are required to assess their efficacy, sustainability, and safety, including methodological rigor to strengthen findings on dietary impacts.
Ketogenic diets are emerging dietary patterns that have demonstrated potential as therapeutic tools in a variety of symptoms and conditions, such as epileptic seizures, diabetes, obesity, cancer, migraines, and metabolic syndrome. This narrative review examines the therapeutic effects of ketogenic diets on physiological and mental health, including their role in modulating the gut microbiome. Ketogenic diets promote weight loss, enhance insulin sensitivity, and may lower dyslipidemia, which are crucial factors in preventing cardio-metabolic diseases. They also play a significant role in the composition and function of the gut microbiome, serving as a therapeutic approach to control autoimmune diseases, given their effectiveness in reducing pro-inflammatory cells. Conversely, a potential downside of these diets is the decrease in beneficial bacteria that have been positively associated with human health. Regarding mental health, ketogenic diets have the capability to stabilize neural networks, improve neuroplasticity, and exert direct benefits in brain bioenergetics, thereby potentially alleviating the symptoms related to several mental conditions, such as epilepsy, anxiety, depression, schizophrenia, bipolar disorder, autism spectrum disorder, and certain neurodegenerative diseases. However, more randomized, long-term studies are required to assess their efficacy, sustainability, and safety, including methodological rigor to strengthen findings on dietary impacts.
Livestock production plays a significant role in meeting global protein demands but is a major contributor to climate change. With the world population projected to reach 9 billion by 2050, identifying sustainable alternative protein sources has become more critical than ever. Edible insects offer an affordable protein option compared to beef, chicken, and fish, especially in many African and Asian cultures, where these conventional protein sources are considered relatively expensive. This study aimed to investigate the potential of mulberry silkworm pupae and African palm weevil larvae as alternative proteins to conventional protein sources for use in gluten-free wraps.
Five gluten-free breakfast wraps were developed using oat flour and fillings made from beef, chicken, mackerel fish, palm weevil larvae, and silkworm pupae. The nutritional composition (amino acid and fatty acid profiles, micronutrient contents) and chemical, microbial, and sensory properties were determined using standard methods.
The wraps had protein contents ranging from 23.78% to 35.60%. Breakfast wrap with palm weevil larvae had slightly more fiber (4.01%) and carbohydrate (36.11%) contents and lower fat (10.22%) compared to the other wraps. It also had an impressive vitamin A content (528.96 μg RAE/100 g) and an exceptional amino acid profile. The insect wraps had more vitamin B12 (0.02 mg/g) contents than the conventional wraps. The fish-based version was the most preferred of all the wraps, with an overall acceptability score of 7.80. All developed products were within permissible limits for microbial quality.
Edible insects, such as palm weevil larvae and silkworm pupae, could serve as an alternative source of protein in the production of gluten-free foods.
Livestock production plays a significant role in meeting global protein demands but is a major contributor to climate change. With the world population projected to reach 9 billion by 2050, identifying sustainable alternative protein sources has become more critical than ever. Edible insects offer an affordable protein option compared to beef, chicken, and fish, especially in many African and Asian cultures, where these conventional protein sources are considered relatively expensive. This study aimed to investigate the potential of mulberry silkworm pupae and African palm weevil larvae as alternative proteins to conventional protein sources for use in gluten-free wraps.
Five gluten-free breakfast wraps were developed using oat flour and fillings made from beef, chicken, mackerel fish, palm weevil larvae, and silkworm pupae. The nutritional composition (amino acid and fatty acid profiles, micronutrient contents) and chemical, microbial, and sensory properties were determined using standard methods.
The wraps had protein contents ranging from 23.78% to 35.60%. Breakfast wrap with palm weevil larvae had slightly more fiber (4.01%) and carbohydrate (36.11%) contents and lower fat (10.22%) compared to the other wraps. It also had an impressive vitamin A content (528.96 μg RAE/100 g) and an exceptional amino acid profile. The insect wraps had more vitamin B12 (0.02 mg/g) contents than the conventional wraps. The fish-based version was the most preferred of all the wraps, with an overall acceptability score of 7.80. All developed products were within permissible limits for microbial quality.
Edible insects, such as palm weevil larvae and silkworm pupae, could serve as an alternative source of protein in the production of gluten-free foods.
Artificial intelligence (AI) is revolutionizing plant sciences by enabling precise plant species identification, early disease diagnosis, crop yield prediction, and precision agriculture optimization. AI uses machine learning and image recognition to aid ecological research and biodiversity conservation. It plays a crucial role in plant breeding by accelerating the development of resilient, high-yielding crops with desirable traits. AI models using climate and soil data contribute to sustainable agriculture and food security. In plant phenotyping, AI automates the measurement and analysis of plant characteristics, enhancing our understanding of plant growth. Ongoing research aims to improve AI models’ robustness and interpretability while addressing data privacy and algorithmic biases. Interdisciplinary collaboration is essential to fully harness AI’s potential in plant sciences for a sustainable, food-secure future.
Artificial intelligence (AI) is revolutionizing plant sciences by enabling precise plant species identification, early disease diagnosis, crop yield prediction, and precision agriculture optimization. AI uses machine learning and image recognition to aid ecological research and biodiversity conservation. It plays a crucial role in plant breeding by accelerating the development of resilient, high-yielding crops with desirable traits. AI models using climate and soil data contribute to sustainable agriculture and food security. In plant phenotyping, AI automates the measurement and analysis of plant characteristics, enhancing our understanding of plant growth. Ongoing research aims to improve AI models’ robustness and interpretability while addressing data privacy and algorithmic biases. Interdisciplinary collaboration is essential to fully harness AI’s potential in plant sciences for a sustainable, food-secure future.
The Mediterranean dietary pattern, where extra virgin olive oil (EVOO) takes the central spot, is related to longer life expectancy and lower risk of a number of non-communicable diseases, including cardiovascular, diabetes, dementias, and cancer. Positive effect of olive oil on a broad spectrum of diseases, including diabetes mellitus type 2 (DMT2), is usually attributed to its fatty acid content (e.g., oleic acid). Yet, in the last two decades researchers confirmed that, the phenolic compounds (e.g., oleuropein) also significantly alter on glycaemic regulation. Other unprocessed parts of olive plant (fruit and leaves) showed positive impact on glycaemic variability among individuals living with DMT2. The present review focuses on the available research findings on the effect of olive oil, fruits, and leaves on DMT2 treatment. Specifically, the focus is on polyphenols and fats of olive oil, fruits, and leaves with regard to their antidiabetic biological activities.
The Mediterranean dietary pattern, where extra virgin olive oil (EVOO) takes the central spot, is related to longer life expectancy and lower risk of a number of non-communicable diseases, including cardiovascular, diabetes, dementias, and cancer. Positive effect of olive oil on a broad spectrum of diseases, including diabetes mellitus type 2 (DMT2), is usually attributed to its fatty acid content (e.g., oleic acid). Yet, in the last two decades researchers confirmed that, the phenolic compounds (e.g., oleuropein) also significantly alter on glycaemic regulation. Other unprocessed parts of olive plant (fruit and leaves) showed positive impact on glycaemic variability among individuals living with DMT2. The present review focuses on the available research findings on the effect of olive oil, fruits, and leaves on DMT2 treatment. Specifically, the focus is on polyphenols and fats of olive oil, fruits, and leaves with regard to their antidiabetic biological activities.
In this perspective article, several internationally recognized experts, members of the editorial team of this journal, discuss a selection of current hot topics identified in Food Science and Foodomics. The topics are comprised of the main areas of Food Science and Foodomics, namely, food safety, food authenticity, food processing, and food bioactivity. Logically, several of the discussed topics involve more than one of the mentioned main areas. Regarding food safety, the topics discussed are the use of analytical nanotechnology, nanometrology, nano-chromatography; the determination of organic contaminants based on MS and NMR; the impact of microplastics and nanoplastics on food or the contamination of foods with plant toxins. Regarding food authenticity, the paper discusses the role of MS, NMR, biosensors and the new trends in foodomics for food authentication. In terms of food processing, the work shows interesting perspectives on novel processing technologies, the effect of food processing on the gut microbiota or in the interaction among secondary metabolites and macromolecules; the development of active packaging, and the potential effects of introducing recycled plastics in food packaging; the new green extraction and encapsulation strategies of bioactive compounds from food by-products; and the anti-biofilm capacity of natural compounds/extracts/vegetal oils and essential oils. Food bioactivity and the relation between food and health includes the bioavailability and bioaccessibility of bioactive compounds; new trends and challenges in the interaction of nutraceuticals with biological systems; how food matrix impacts the bioaccessibility of nutrients and bioactive compounds; or the study of biodiversity, food and human health through one-health concept. We anticipate elaborations on these hot topics will promote further studies in Food Science and Foodomics.
In this perspective article, several internationally recognized experts, members of the editorial team of this journal, discuss a selection of current hot topics identified in Food Science and Foodomics. The topics are comprised of the main areas of Food Science and Foodomics, namely, food safety, food authenticity, food processing, and food bioactivity. Logically, several of the discussed topics involve more than one of the mentioned main areas. Regarding food safety, the topics discussed are the use of analytical nanotechnology, nanometrology, nano-chromatography; the determination of organic contaminants based on MS and NMR; the impact of microplastics and nanoplastics on food or the contamination of foods with plant toxins. Regarding food authenticity, the paper discusses the role of MS, NMR, biosensors and the new trends in foodomics for food authentication. In terms of food processing, the work shows interesting perspectives on novel processing technologies, the effect of food processing on the gut microbiota or in the interaction among secondary metabolites and macromolecules; the development of active packaging, and the potential effects of introducing recycled plastics in food packaging; the new green extraction and encapsulation strategies of bioactive compounds from food by-products; and the anti-biofilm capacity of natural compounds/extracts/vegetal oils and essential oils. Food bioactivity and the relation between food and health includes the bioavailability and bioaccessibility of bioactive compounds; new trends and challenges in the interaction of nutraceuticals with biological systems; how food matrix impacts the bioaccessibility of nutrients and bioactive compounds; or the study of biodiversity, food and human health through one-health concept. We anticipate elaborations on these hot topics will promote further studies in Food Science and Foodomics.
The on-site, rapid, and intelligence detection methods are the wave in food safety. Recently, intelligent point-of-care test (iPOCT) methods serve as a promising alternative for advanced monitoring in food safety. By integrating smartphones with various detection methods, iPOCT methods demonstrate unique merits. Compared with lab-dependent instruments, iPOCT strategies have a short turnaround time (several minutes), high accuracy (μm level or less), and portability (smartphones). This work discussed principles of optical and electrical iPOCT methods, including absorbing light, fluorescence, chemiluminescence, potentiometry, voltammetry, impedance spectroscopy, and amperometry. The review emphasizes the practical applications for testing chemical and biological hazards in complex food matrices. The commercialization, challenges, and future trends of iPOCT are discussed as well.
The on-site, rapid, and intelligence detection methods are the wave in food safety. Recently, intelligent point-of-care test (iPOCT) methods serve as a promising alternative for advanced monitoring in food safety. By integrating smartphones with various detection methods, iPOCT methods demonstrate unique merits. Compared with lab-dependent instruments, iPOCT strategies have a short turnaround time (several minutes), high accuracy (μm level or less), and portability (smartphones). This work discussed principles of optical and electrical iPOCT methods, including absorbing light, fluorescence, chemiluminescence, potentiometry, voltammetry, impedance spectroscopy, and amperometry. The review emphasizes the practical applications for testing chemical and biological hazards in complex food matrices. The commercialization, challenges, and future trends of iPOCT are discussed as well.
Among the species of the rich algological flora of the North Atlantic, some can be used for direct consumption in human food, although few are currently cultivated on a large scale and/or marketed for this purpose. The European tradition regarding this custom is practically nil and the expression of current eating habits is little different from the past. In Europe, only in times of hunger (for example, during the Great World Wars) was seaweed consumed by the populations closest to the coastline. In addition to the multiple applications described, which expanded enormously in the 1970s, based on phycocolloids (agar, carrageenans, and alginates)—used as thickeners in the food industry, in soups, meat preserves, dairy products, and pastries—there is currently a trend of increasing consumption, both in North America and Europe.
Among the species of the rich algological flora of the North Atlantic, some can be used for direct consumption in human food, although few are currently cultivated on a large scale and/or marketed for this purpose. The European tradition regarding this custom is practically nil and the expression of current eating habits is little different from the past. In Europe, only in times of hunger (for example, during the Great World Wars) was seaweed consumed by the populations closest to the coastline. In addition to the multiple applications described, which expanded enormously in the 1970s, based on phycocolloids (agar, carrageenans, and alginates)—used as thickeners in the food industry, in soups, meat preserves, dairy products, and pastries—there is currently a trend of increasing consumption, both in North America and Europe.
Natural antioxidants, such as phenolic compounds, carotenoids, vitamins, and microelements, are predominant in fruits, vegetables, herbs, and spices. The accretion interest of consumers in utilizing natural ingredients in food products, have accelerated the appeal for functional “natural” operations. Therefore, understanding how natural antioxidants especially nano-antioxidants, and their delivery systems when used in antioxidant polymers for food packaging are extracted from natural sources, would help prevent oxidation reactions. Given the increasing role of natural antioxidants in the daily lives of today’s communities, a continuous synthesis of relevant literature is pertinent. To supplement existing information, recent advances in nano-related natural antioxidants, their extraction methods and applications in the food industry are discussed in this current work. Insightfully positioning antioxidants within the nano-delivery systems, this current work reveals the potential nanotechnology provides in enhancing the absorption of antioxidants in human metabolic systems.
Natural antioxidants, such as phenolic compounds, carotenoids, vitamins, and microelements, are predominant in fruits, vegetables, herbs, and spices. The accretion interest of consumers in utilizing natural ingredients in food products, have accelerated the appeal for functional “natural” operations. Therefore, understanding how natural antioxidants especially nano-antioxidants, and their delivery systems when used in antioxidant polymers for food packaging are extracted from natural sources, would help prevent oxidation reactions. Given the increasing role of natural antioxidants in the daily lives of today’s communities, a continuous synthesis of relevant literature is pertinent. To supplement existing information, recent advances in nano-related natural antioxidants, their extraction methods and applications in the food industry are discussed in this current work. Insightfully positioning antioxidants within the nano-delivery systems, this current work reveals the potential nanotechnology provides in enhancing the absorption of antioxidants in human metabolic systems.
In this perspective article, several internationally recognized experts, members of the editorial team of this journal, discuss a selection of current hot topics identified in Food Science and Foodomics. The topics are comprised of the main areas of Food Science and Foodomics, namely, food safety, food authenticity, food processing, and food bioactivity. Logically, several of the discussed topics involve more than one of the mentioned main areas. Regarding food safety, the topics discussed are the use of analytical nanotechnology, nanometrology, nano-chromatography; the determination of organic contaminants based on MS and NMR; the impact of microplastics and nanoplastics on food or the contamination of foods with plant toxins. Regarding food authenticity, the paper discusses the role of MS, NMR, biosensors and the new trends in foodomics for food authentication. In terms of food processing, the work shows interesting perspectives on novel processing technologies, the effect of food processing on the gut microbiota or in the interaction among secondary metabolites and macromolecules; the development of active packaging, and the potential effects of introducing recycled plastics in food packaging; the new green extraction and encapsulation strategies of bioactive compounds from food by-products; and the anti-biofilm capacity of natural compounds/extracts/vegetal oils and essential oils. Food bioactivity and the relation between food and health includes the bioavailability and bioaccessibility of bioactive compounds; new trends and challenges in the interaction of nutraceuticals with biological systems; how food matrix impacts the bioaccessibility of nutrients and bioactive compounds; or the study of biodiversity, food and human health through one-health concept. We anticipate elaborations on these hot topics will promote further studies in Food Science and Foodomics.
In this perspective article, several internationally recognized experts, members of the editorial team of this journal, discuss a selection of current hot topics identified in Food Science and Foodomics. The topics are comprised of the main areas of Food Science and Foodomics, namely, food safety, food authenticity, food processing, and food bioactivity. Logically, several of the discussed topics involve more than one of the mentioned main areas. Regarding food safety, the topics discussed are the use of analytical nanotechnology, nanometrology, nano-chromatography; the determination of organic contaminants based on MS and NMR; the impact of microplastics and nanoplastics on food or the contamination of foods with plant toxins. Regarding food authenticity, the paper discusses the role of MS, NMR, biosensors and the new trends in foodomics for food authentication. In terms of food processing, the work shows interesting perspectives on novel processing technologies, the effect of food processing on the gut microbiota or in the interaction among secondary metabolites and macromolecules; the development of active packaging, and the potential effects of introducing recycled plastics in food packaging; the new green extraction and encapsulation strategies of bioactive compounds from food by-products; and the anti-biofilm capacity of natural compounds/extracts/vegetal oils and essential oils. Food bioactivity and the relation between food and health includes the bioavailability and bioaccessibility of bioactive compounds; new trends and challenges in the interaction of nutraceuticals with biological systems; how food matrix impacts the bioaccessibility of nutrients and bioactive compounds; or the study of biodiversity, food and human health through one-health concept. We anticipate elaborations on these hot topics will promote further studies in Food Science and Foodomics.
Artificial intelligence (AI) is revolutionizing plant sciences by enabling precise plant species identification, early disease diagnosis, crop yield prediction, and precision agriculture optimization. AI uses machine learning and image recognition to aid ecological research and biodiversity conservation. It plays a crucial role in plant breeding by accelerating the development of resilient, high-yielding crops with desirable traits. AI models using climate and soil data contribute to sustainable agriculture and food security. In plant phenotyping, AI automates the measurement and analysis of plant characteristics, enhancing our understanding of plant growth. Ongoing research aims to improve AI models’ robustness and interpretability while addressing data privacy and algorithmic biases. Interdisciplinary collaboration is essential to fully harness AI’s potential in plant sciences for a sustainable, food-secure future.
Artificial intelligence (AI) is revolutionizing plant sciences by enabling precise plant species identification, early disease diagnosis, crop yield prediction, and precision agriculture optimization. AI uses machine learning and image recognition to aid ecological research and biodiversity conservation. It plays a crucial role in plant breeding by accelerating the development of resilient, high-yielding crops with desirable traits. AI models using climate and soil data contribute to sustainable agriculture and food security. In plant phenotyping, AI automates the measurement and analysis of plant characteristics, enhancing our understanding of plant growth. Ongoing research aims to improve AI models’ robustness and interpretability while addressing data privacy and algorithmic biases. Interdisciplinary collaboration is essential to fully harness AI’s potential in plant sciences for a sustainable, food-secure future.
Seafood is both nutritionally and economically significant, with bivalve molluscs being particularly valuable for monitoring environmental pollutants due to their filter-feeding nature and ability to bioaccumulate pollutants. While not often linked to food poisoning, these molluscs can occasionally introduce health risks, highlighting the need for vigilant monitoring. This review provides a thorough analysis of pollutants—including persistent and emerging pollutants, as well as marine toxins—found in bivalve molluscs between 2019 and 2024. Among the studied pollutants, plasticizers and alkaloids are the most frequently analyzed, with liquid and gas chromatography (GC) tandem mass spectrometry (MS) the predominant methods, although novel approaches to determine these compounds, such as sensors, have also emerged in recent years. However, many studies are focused on establishing pollutant content without addressing bioaccumulation (BA) factors, and a lack of standardization in species and sampling locations complicates comparisons between the different published works. Despite some studies linking human activity and algal blooms to BA dynamics, more comprehensive research is needed. Additionally, limited data on the depuration capacity of molluscs underscores the need for further investigation. Although pollutant levels generally remain within legal limits, many substances remain unregulated. Environmental factors also play a critical role in influencing BA, emphasizing the need for future studies to focus on BA factors to better understand these complex dynamics.
Seafood is both nutritionally and economically significant, with bivalve molluscs being particularly valuable for monitoring environmental pollutants due to their filter-feeding nature and ability to bioaccumulate pollutants. While not often linked to food poisoning, these molluscs can occasionally introduce health risks, highlighting the need for vigilant monitoring. This review provides a thorough analysis of pollutants—including persistent and emerging pollutants, as well as marine toxins—found in bivalve molluscs between 2019 and 2024. Among the studied pollutants, plasticizers and alkaloids are the most frequently analyzed, with liquid and gas chromatography (GC) tandem mass spectrometry (MS) the predominant methods, although novel approaches to determine these compounds, such as sensors, have also emerged in recent years. However, many studies are focused on establishing pollutant content without addressing bioaccumulation (BA) factors, and a lack of standardization in species and sampling locations complicates comparisons between the different published works. Despite some studies linking human activity and algal blooms to BA dynamics, more comprehensive research is needed. Additionally, limited data on the depuration capacity of molluscs underscores the need for further investigation. Although pollutant levels generally remain within legal limits, many substances remain unregulated. Environmental factors also play a critical role in influencing BA, emphasizing the need for future studies to focus on BA factors to better understand these complex dynamics.
Rice, one of the most widely consumed staple foods globally, relies on amylose content for its quality, impacting cooking, digestibility, and health properties. Conventional amylose determination methods are time-consuming and involve complex chemical treatments. Thus, there is growing interest in rapid, non-destructive techniques for food quality control. This study explores the potential of laser photoacoustic spectroscopy (LPAS) for predicting amylose content in rice flour.
Certified rice flour standards of varying amylose levels have been analyzed using a quantum-cascade LPAS system. Preliminary analysis utilized Fourier transform infrared/attenuated total reflectance (FTIR/ATR) to identify rice starch spectral features in the IR region. Multivariate data tools like principal component analysis (PCA) and partial least squares (PLS) regression have been combined with LPAS measurements to extract information from the complex spectral data set and to demonstrate the ability of the system to predict their amylose content.
LPAS spectra, recorded between 7.0–11.0 μm, displayed two broad bands, showing a linear increase in signal with amylose content, especially notable in the specific fingerprint region within 8.5–10.0 μm. The prominent peak at 9.3 μm exhibited a high linear correlation with amylose levels (R2 > 0.99). PCA effectively differentiated rice flour samples, while PLS accurately predicted amylose content. The difference between predicted and actual amylose is significantly less than the statistical error of the measurement.
LPAS combined with chemometric analysis emerges as a promising non-destructive method for rapidly assessing rice amylose content, potentially supplementing or replacing current standard methods. Its advantages, limitations, and future prospects in rice quality analysis are discussed, highlighting its role in preliminary screening.
Rice, one of the most widely consumed staple foods globally, relies on amylose content for its quality, impacting cooking, digestibility, and health properties. Conventional amylose determination methods are time-consuming and involve complex chemical treatments. Thus, there is growing interest in rapid, non-destructive techniques for food quality control. This study explores the potential of laser photoacoustic spectroscopy (LPAS) for predicting amylose content in rice flour.
Certified rice flour standards of varying amylose levels have been analyzed using a quantum-cascade LPAS system. Preliminary analysis utilized Fourier transform infrared/attenuated total reflectance (FTIR/ATR) to identify rice starch spectral features in the IR region. Multivariate data tools like principal component analysis (PCA) and partial least squares (PLS) regression have been combined with LPAS measurements to extract information from the complex spectral data set and to demonstrate the ability of the system to predict their amylose content.
LPAS spectra, recorded between 7.0–11.0 μm, displayed two broad bands, showing a linear increase in signal with amylose content, especially notable in the specific fingerprint region within 8.5–10.0 μm. The prominent peak at 9.3 μm exhibited a high linear correlation with amylose levels (R2 > 0.99). PCA effectively differentiated rice flour samples, while PLS accurately predicted amylose content. The difference between predicted and actual amylose is significantly less than the statistical error of the measurement.
LPAS combined with chemometric analysis emerges as a promising non-destructive method for rapidly assessing rice amylose content, potentially supplementing or replacing current standard methods. Its advantages, limitations, and future prospects in rice quality analysis are discussed, highlighting its role in preliminary screening.
This article explores the significant impact that artificial intelligence (AI) could have on food safety and nutrition, with a specific focus on the use of machine learning and neural networks for disease risk prediction, diet personalization, and food product development. Specific AI techniques and explainable AI (XAI) are highlighted for their potential in personalizing diet recommendations, predicting models for disease prevention, and enhancing data-driven approaches to food production. The article also underlines the importance of high-performance computing infrastructures and data management strategies, including data operations (DataOps) for efficient data pipelines and findable, accessible, interoperable, and reusable (FAIR) principles for open and standardized data sharing. Additionally, it explores the concept of open data sharing and the integration of machine learning algorithms in the food industry to enhance food safety and product development. It highlights the METROFOOD-IT project as a best practice example of implementing advancements in the agri-food sector, demonstrating successful interdisciplinary collaboration. The project fosters both data security and transparency within a decentralized data space model, ensuring reliable and efficient data sharing. However, challenges such as data privacy, model interoperability, and ethical considerations remain key obstacles. The article also discusses the need for ongoing interdisciplinary collaboration between data scientists, nutritionists, and food technologists to effectively address these challenges. Future research should focus on refining AI models to improve their reliability and exploring how to integrate these technologies into everyday nutritional practices for better health outcomes.
This article explores the significant impact that artificial intelligence (AI) could have on food safety and nutrition, with a specific focus on the use of machine learning and neural networks for disease risk prediction, diet personalization, and food product development. Specific AI techniques and explainable AI (XAI) are highlighted for their potential in personalizing diet recommendations, predicting models for disease prevention, and enhancing data-driven approaches to food production. The article also underlines the importance of high-performance computing infrastructures and data management strategies, including data operations (DataOps) for efficient data pipelines and findable, accessible, interoperable, and reusable (FAIR) principles for open and standardized data sharing. Additionally, it explores the concept of open data sharing and the integration of machine learning algorithms in the food industry to enhance food safety and product development. It highlights the METROFOOD-IT project as a best practice example of implementing advancements in the agri-food sector, demonstrating successful interdisciplinary collaboration. The project fosters both data security and transparency within a decentralized data space model, ensuring reliable and efficient data sharing. However, challenges such as data privacy, model interoperability, and ethical considerations remain key obstacles. The article also discusses the need for ongoing interdisciplinary collaboration between data scientists, nutritionists, and food technologists to effectively address these challenges. Future research should focus on refining AI models to improve their reliability and exploring how to integrate these technologies into everyday nutritional practices for better health outcomes.
Fast urbanization of free land, industrial progress, and improvement of human life quality, have led to increased consumption of different chemical substances recognized as emerging contaminants (ECs) that are chemicals posing potential risks to the environment and human health, but are not yet subjected to regulatory criteria. Pharmaceuticals consumed by humans are continuously discharged into aquatic environments through urban effluents and numerous classes of them have been widely detected in surface waters. We have to highlight that pharmaceuticals, deposited in the aquatic environment end up in human body through the consumption of marine organisms. Consequently, seawater can be considered as feed. Aim of the study is the development, optimization and validation of a multi-residue analytical method concerning the detection of pharmaceuticals in seawaters.
The present study describes the development of a highly selective and sensitive analytical method using solid phase extraction (SPE) followed by UHPLC-LTQ/Orbitrap MS for the determination of 18 frequently prescribed pharmaceuticals and 3 transformation products (TPs) in seawater. In order to optimize the extraction method different cartridge types were tested.
Main results showed that the appropriate type of sorbent was concluded to be Oasis HLB, which presented the highest recoveries fluctuating between 61.6% and 118.8%, with a relative standard deviation below 4% and below 5%, for intra-day and inter-day precision, respectively. Limits of detection (LODs) ranged from 0.3 ng L–1 for venlafaxine to 9.8 ng L–1 for oxolinic acid, and the limits of quantification (LOQs) ranged from 1.2 ng L–1 for carbamazepine to 26.4 ng L–1 for oxolinic acid, while in all cases, the linearity, as measured by the correlation coefficient, was greater than 0.991 and ranged within the method’s quantification limit for each chemical and 1,000 ng L–1.
Concerning the conclusions positive detections were found in the seawater samples for oxytetracycline, sulfadiazine, caffeine, paracetamol, and trimethoprim.
Fast urbanization of free land, industrial progress, and improvement of human life quality, have led to increased consumption of different chemical substances recognized as emerging contaminants (ECs) that are chemicals posing potential risks to the environment and human health, but are not yet subjected to regulatory criteria. Pharmaceuticals consumed by humans are continuously discharged into aquatic environments through urban effluents and numerous classes of them have been widely detected in surface waters. We have to highlight that pharmaceuticals, deposited in the aquatic environment end up in human body through the consumption of marine organisms. Consequently, seawater can be considered as feed. Aim of the study is the development, optimization and validation of a multi-residue analytical method concerning the detection of pharmaceuticals in seawaters.
The present study describes the development of a highly selective and sensitive analytical method using solid phase extraction (SPE) followed by UHPLC-LTQ/Orbitrap MS for the determination of 18 frequently prescribed pharmaceuticals and 3 transformation products (TPs) in seawater. In order to optimize the extraction method different cartridge types were tested.
Main results showed that the appropriate type of sorbent was concluded to be Oasis HLB, which presented the highest recoveries fluctuating between 61.6% and 118.8%, with a relative standard deviation below 4% and below 5%, for intra-day and inter-day precision, respectively. Limits of detection (LODs) ranged from 0.3 ng L–1 for venlafaxine to 9.8 ng L–1 for oxolinic acid, and the limits of quantification (LOQs) ranged from 1.2 ng L–1 for carbamazepine to 26.4 ng L–1 for oxolinic acid, while in all cases, the linearity, as measured by the correlation coefficient, was greater than 0.991 and ranged within the method’s quantification limit for each chemical and 1,000 ng L–1.
Concerning the conclusions positive detections were found in the seawater samples for oxytetracycline, sulfadiazine, caffeine, paracetamol, and trimethoprim.
Soy whey is a byproduct of tofu production and is being discarded after tofu preparation. However, soy whey is a rich source of phytochemicals, minerals, and protein. The present study was conducted to utilize soy whey for the development of nutraceutical-rich orange juice beverages.
The soy whey and orange juice were produced and beverage samples were developed from them. The samples were evaluated for physicochemical, rheological, antioxidant, and sensory properties to evaluate the optimum percentage of soy whey that can be utilized for beverage development.
The protein content increased from 0.45% to 1.65% with an increase in soy whey from 0% to 50%. The pH of the beverage samples was in the range of 4.27–4.77 with the total soluble solids (TSSs) of 5.75–6.0 for various beverage samples. The lightness (L*), redness (+a*), and yellowness (+b*) of beverage samples range between 31.57–49.04, 1.21–0.54, and 25.37–39.63 respectively. The vitamin C content of the beverage samples was 56.30 mg/L, 52.75 mg/L, 36.97 mg/L, 26.35 mg/L, and 22.87 mg/L for A, B, C, D, and E beverages respectively. The 1, 1-diphenyl-2-picrylhydrazyl (DPPH), ferric reducing antioxidant power (FRAP), reducing power ranges of beverage samples range between 91.2–96.23%, 0.521–0.994%, and 0.204–0.859% respectively, and total phenolic content (TPC) ranges between 112 mg gallic acid equivalents (GAE)/100 mL and 181 mg GAE/100 mL of beverage samples. The beverage samples presented a shear thinning property with a flow index (n) ranging between 0.2371–0.8214. The consistency coefficient of the beverage samples ranges between 0.0405 Pa∙Sn and 0.0041 Pa∙Sn. The control, 20%, and 30% soy whey-containing beverage samples showed higher sensory properties.
The beverage samples with 0%, 20%, and 30% showed improved DPPH and FRAP percent activity and higher overall acceptability compared to 40% and 50% soy whey-containing beverage samples.
Soy whey is a byproduct of tofu production and is being discarded after tofu preparation. However, soy whey is a rich source of phytochemicals, minerals, and protein. The present study was conducted to utilize soy whey for the development of nutraceutical-rich orange juice beverages.
The soy whey and orange juice were produced and beverage samples were developed from them. The samples were evaluated for physicochemical, rheological, antioxidant, and sensory properties to evaluate the optimum percentage of soy whey that can be utilized for beverage development.
The protein content increased from 0.45% to 1.65% with an increase in soy whey from 0% to 50%. The pH of the beverage samples was in the range of 4.27–4.77 with the total soluble solids (TSSs) of 5.75–6.0 for various beverage samples. The lightness (L*), redness (+a*), and yellowness (+b*) of beverage samples range between 31.57–49.04, 1.21–0.54, and 25.37–39.63 respectively. The vitamin C content of the beverage samples was 56.30 mg/L, 52.75 mg/L, 36.97 mg/L, 26.35 mg/L, and 22.87 mg/L for A, B, C, D, and E beverages respectively. The 1, 1-diphenyl-2-picrylhydrazyl (DPPH), ferric reducing antioxidant power (FRAP), reducing power ranges of beverage samples range between 91.2–96.23%, 0.521–0.994%, and 0.204–0.859% respectively, and total phenolic content (TPC) ranges between 112 mg gallic acid equivalents (GAE)/100 mL and 181 mg GAE/100 mL of beverage samples. The beverage samples presented a shear thinning property with a flow index (n) ranging between 0.2371–0.8214. The consistency coefficient of the beverage samples ranges between 0.0405 Pa∙Sn and 0.0041 Pa∙Sn. The control, 20%, and 30% soy whey-containing beverage samples showed higher sensory properties.
The beverage samples with 0%, 20%, and 30% showed improved DPPH and FRAP percent activity and higher overall acceptability compared to 40% and 50% soy whey-containing beverage samples.
Among the species of the rich algological flora of the North Atlantic, some can be used for direct consumption in human food, although few are currently cultivated on a large scale and/or marketed for this purpose. The European tradition regarding this custom is practically nil and the expression of current eating habits is little different from the past. In Europe, only in times of hunger (for example, during the Great World Wars) was seaweed consumed by the populations closest to the coastline. In addition to the multiple applications described, which expanded enormously in the 1970s, based on phycocolloids (agar, carrageenans, and alginates)—used as thickeners in the food industry, in soups, meat preserves, dairy products, and pastries—there is currently a trend of increasing consumption, both in North America and Europe.
Among the species of the rich algological flora of the North Atlantic, some can be used for direct consumption in human food, although few are currently cultivated on a large scale and/or marketed for this purpose. The European tradition regarding this custom is practically nil and the expression of current eating habits is little different from the past. In Europe, only in times of hunger (for example, during the Great World Wars) was seaweed consumed by the populations closest to the coastline. In addition to the multiple applications described, which expanded enormously in the 1970s, based on phycocolloids (agar, carrageenans, and alginates)—used as thickeners in the food industry, in soups, meat preserves, dairy products, and pastries—there is currently a trend of increasing consumption, both in North America and Europe.
Natural antioxidants, such as phenolic compounds, carotenoids, vitamins, and microelements, are predominant in fruits, vegetables, herbs, and spices. The accretion interest of consumers in utilizing natural ingredients in food products, have accelerated the appeal for functional “natural” operations. Therefore, understanding how natural antioxidants especially nano-antioxidants, and their delivery systems when used in antioxidant polymers for food packaging are extracted from natural sources, would help prevent oxidation reactions. Given the increasing role of natural antioxidants in the daily lives of today’s communities, a continuous synthesis of relevant literature is pertinent. To supplement existing information, recent advances in nano-related natural antioxidants, their extraction methods and applications in the food industry are discussed in this current work. Insightfully positioning antioxidants within the nano-delivery systems, this current work reveals the potential nanotechnology provides in enhancing the absorption of antioxidants in human metabolic systems.
Natural antioxidants, such as phenolic compounds, carotenoids, vitamins, and microelements, are predominant in fruits, vegetables, herbs, and spices. The accretion interest of consumers in utilizing natural ingredients in food products, have accelerated the appeal for functional “natural” operations. Therefore, understanding how natural antioxidants especially nano-antioxidants, and their delivery systems when used in antioxidant polymers for food packaging are extracted from natural sources, would help prevent oxidation reactions. Given the increasing role of natural antioxidants in the daily lives of today’s communities, a continuous synthesis of relevant literature is pertinent. To supplement existing information, recent advances in nano-related natural antioxidants, their extraction methods and applications in the food industry are discussed in this current work. Insightfully positioning antioxidants within the nano-delivery systems, this current work reveals the potential nanotechnology provides in enhancing the absorption of antioxidants in human metabolic systems.
The objective of this work was to compile data for the characterization of pistachio’s chemical composition and to analyze the benefits of their consumption in the diet. Pistachio edible seed is cultivated mainly in America, Mediterranean countries and Middle East. The geographical precedence may affect its mineral content as well as its lipidic profile and it may also influence the content of bioactive compounds. Pistachio presents a high proportion of vitamins, carotenoids, polyphenols, and flavonoids that have been associated with pistachio health benefits such as its antioxidant and anti-inflammatory activities. Pistachio intake would reduce glycemic index and control Type-2 Diabetes Mellitus. Clinical studies have also indicated that the presence of phytosterols, monounsaturated fatty acids (MUFAs) and dietary fiber from pistachio grains may reduce the risk of cardiovascular diseases (CVDs). Furthermore, the main wastes of pistachio industry [pistachio green hull (PGH) and pistachio shell (PS)] could be also considered a good source of bioactive compounds. Recent studies showed that the encapsulation of these nutraceutical compounds of PGH may be a green strategy for manufacture high-value foods within the framework of circular economy. Moreover, PS can be considered a good source of cellulose nanocrystals (CNC) that may be used for encapsulation and stabilization of oil-water emulsions.
The objective of this work was to compile data for the characterization of pistachio’s chemical composition and to analyze the benefits of their consumption in the diet. Pistachio edible seed is cultivated mainly in America, Mediterranean countries and Middle East. The geographical precedence may affect its mineral content as well as its lipidic profile and it may also influence the content of bioactive compounds. Pistachio presents a high proportion of vitamins, carotenoids, polyphenols, and flavonoids that have been associated with pistachio health benefits such as its antioxidant and anti-inflammatory activities. Pistachio intake would reduce glycemic index and control Type-2 Diabetes Mellitus. Clinical studies have also indicated that the presence of phytosterols, monounsaturated fatty acids (MUFAs) and dietary fiber from pistachio grains may reduce the risk of cardiovascular diseases (CVDs). Furthermore, the main wastes of pistachio industry [pistachio green hull (PGH) and pistachio shell (PS)] could be also considered a good source of bioactive compounds. Recent studies showed that the encapsulation of these nutraceutical compounds of PGH may be a green strategy for manufacture high-value foods within the framework of circular economy. Moreover, PS can be considered a good source of cellulose nanocrystals (CNC) that may be used for encapsulation and stabilization of oil-water emulsions.
Artificial intelligence (AI) is revolutionizing plant sciences by enabling precise plant species identification, early disease diagnosis, crop yield prediction, and precision agriculture optimization. AI uses machine learning and image recognition to aid ecological research and biodiversity conservation. It plays a crucial role in plant breeding by accelerating the development of resilient, high-yielding crops with desirable traits. AI models using climate and soil data contribute to sustainable agriculture and food security. In plant phenotyping, AI automates the measurement and analysis of plant characteristics, enhancing our understanding of plant growth. Ongoing research aims to improve AI models’ robustness and interpretability while addressing data privacy and algorithmic biases. Interdisciplinary collaboration is essential to fully harness AI’s potential in plant sciences for a sustainable, food-secure future.
Artificial intelligence (AI) is revolutionizing plant sciences by enabling precise plant species identification, early disease diagnosis, crop yield prediction, and precision agriculture optimization. AI uses machine learning and image recognition to aid ecological research and biodiversity conservation. It plays a crucial role in plant breeding by accelerating the development of resilient, high-yielding crops with desirable traits. AI models using climate and soil data contribute to sustainable agriculture and food security. In plant phenotyping, AI automates the measurement and analysis of plant characteristics, enhancing our understanding of plant growth. Ongoing research aims to improve AI models’ robustness and interpretability while addressing data privacy and algorithmic biases. Interdisciplinary collaboration is essential to fully harness AI’s potential in plant sciences for a sustainable, food-secure future.
The scope of the present study was to investigate the phytochemical profile of Psidium guajava and Carica papaya leaves aqueous extracts, from plants cultivated on Crete island in Greece.
Total phenolic content (TPC) in the aqueous extracts was determined spectrometrically using the Folin-Ciocalteu (F-C) assay. The identification and quantification of different phenolic compounds in the aqueous extracts were conducted using reversed-phase high-performance liquid chromatography (RP-HPLC) analysis. Different metals were also determined (K, Fe, Zn, Ca, Mg, Pb, and Cd) to investigate the potential health claims or hazards in the water extractable infusion using inductively coupled plasma mass spectrometry (ICP-MS) method.
TPC in the aqueous extracts was found to be 28.0 g gallic acid equivalent (GAE)/kg dry leaves for Psidium guajava leaves aqueous extract and 15.0 g GAE/kg dry leaves for Carica papaya leaves aqueous extract. The dominant phenolic compounds in Psidium guajava leaves aqueous extract were myricetin (3,852 mg/kg dry sample) and rutin (670 mg/kg dry sample) while the dominant phenolic compounds in Carica papaya leaves aqueous extract were salicylic acid (338 mg/kg dry sample) and rutin (264 mg/kg dry sample). Different metals were also determined (K, Fe, Zn, Ca, Mg, Pb, and Cd) to investigate the potential health claims or hazards in the water extractable infusion, and it was found that no toxic metals were extracted whereas some nutritional benefits were achieved.
Results proved that Psidium guajava and Carica papaya can be provided a strong antioxidant activity and can be used as medicinal plants.
The scope of the present study was to investigate the phytochemical profile of Psidium guajava and Carica papaya leaves aqueous extracts, from plants cultivated on Crete island in Greece.
Total phenolic content (TPC) in the aqueous extracts was determined spectrometrically using the Folin-Ciocalteu (F-C) assay. The identification and quantification of different phenolic compounds in the aqueous extracts were conducted using reversed-phase high-performance liquid chromatography (RP-HPLC) analysis. Different metals were also determined (K, Fe, Zn, Ca, Mg, Pb, and Cd) to investigate the potential health claims or hazards in the water extractable infusion using inductively coupled plasma mass spectrometry (ICP-MS) method.
TPC in the aqueous extracts was found to be 28.0 g gallic acid equivalent (GAE)/kg dry leaves for Psidium guajava leaves aqueous extract and 15.0 g GAE/kg dry leaves for Carica papaya leaves aqueous extract. The dominant phenolic compounds in Psidium guajava leaves aqueous extract were myricetin (3,852 mg/kg dry sample) and rutin (670 mg/kg dry sample) while the dominant phenolic compounds in Carica papaya leaves aqueous extract were salicylic acid (338 mg/kg dry sample) and rutin (264 mg/kg dry sample). Different metals were also determined (K, Fe, Zn, Ca, Mg, Pb, and Cd) to investigate the potential health claims or hazards in the water extractable infusion, and it was found that no toxic metals were extracted whereas some nutritional benefits were achieved.
Results proved that Psidium guajava and Carica papaya can be provided a strong antioxidant activity and can be used as medicinal plants.
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