Previous
Aim:
The unfermented pale-yellow exudates (“palm sap”) emerge from tapped unopened spathe of mostly oil palm (Elaeis guineensis) and raphia palm (Raphia hookeri). Besides, tiger nut milk (Kunuaya) is among the non-alcoholic refreshing drinks with dairy appearance. A sustainable alternative could therefore emerge from blends of tiger nut milk and sugar syrup to serve a resembling role as palm wine. In this context, therefore, palm wine analogue from different tiger nut milk and sugar syrup blends using palm wine dreg as inoculum was evaluated by proximate, physicochemical, microbial, and sensorial analyses at different time intervals.
Methods:
The materials were processed, analyzed, and packed using standard referenced procedures. This required freshly tapped palm sap juxtaposed with blends of tiger nut milk-sugar syrup beverage, and thereafter subjected to aerobic fermentation. Importantly, the tiger nut milk-sugar syrup medium has been pitched with palm wine dreg (inoculum source) between fermentation time 26–30 h, and temperature 29.8°–32°C.
Results:
Considering all the analytical outcomes, from proximate, microbiological, physicochemical, to sensory data, the control appeared to somewhat resemble those of the experimental samples of this study.
Conclusions:
Potentially, the (palm wine) analogue produced from tiger nut milk and sugar syrup blends using (palm wine) dreg as inoculum could be embraced by the market as natural palm wine. Indeed, the emergent product should serve as an alternative sustainable promise for palm wine, which could help fill the market supply gap, especially in the seasons of reduced supply/yield.
Aim:
The unfermented pale-yellow exudates (“palm sap”) emerge from tapped unopened spathe of mostly oil palm (Elaeis guineensis) and raphia palm (Raphia hookeri). Besides, tiger nut milk (Kunuaya) is among the non-alcoholic refreshing drinks with dairy appearance. A sustainable alternative could therefore emerge from blends of tiger nut milk and sugar syrup to serve a resembling role as palm wine. In this context, therefore, palm wine analogue from different tiger nut milk and sugar syrup blends using palm wine dreg as inoculum was evaluated by proximate, physicochemical, microbial, and sensorial analyses at different time intervals.
Methods:
The materials were processed, analyzed, and packed using standard referenced procedures. This required freshly tapped palm sap juxtaposed with blends of tiger nut milk-sugar syrup beverage, and thereafter subjected to aerobic fermentation. Importantly, the tiger nut milk-sugar syrup medium has been pitched with palm wine dreg (inoculum source) between fermentation time 26–30 h, and temperature 29.8°–32°C.
Results:
Considering all the analytical outcomes, from proximate, microbiological, physicochemical, to sensory data, the control appeared to somewhat resemble those of the experimental samples of this study.
Conclusions:
Potentially, the (palm wine) analogue produced from tiger nut milk and sugar syrup blends using (palm wine) dreg as inoculum could be embraced by the market as natural palm wine. Indeed, the emergent product should serve as an alternative sustainable promise for palm wine, which could help fill the market supply gap, especially in the seasons of reduced supply/yield.
DOI: https://doi.org/10.37349/eff.2025.101069
This article belongs to the special issue Food Authenticity and Emerging Challenges of Novel Food
Aim:
Baijiu adulteration has always been a hot spot of social concern, especially high-temperature Daqu Baijiu, because of its better flavor quality and high value, it faces a challenge from illegal adulteration of high-grade Baijiu bottles with low-grade Baijiu.
Methods:
A new ultraviolet-visible spectroscopy (UV-VIS) sensor method based on 2-(2-hydroxyphenyl) benzothiazole (HBT) combined with Zn2+ was constructed. The specific mechanism of light signal change was mainly based on the competitive coordination effect of pyrazines and other nitrogen-containing compounds in high-temperature Daqu Baijiu and small molecular probe HBT on Zn2+ and the excited state intramolecular proton transfer (ESIPT) mechanism of HBT itself.
Results:
The random forest results showed that the prediction set classification accuracy was improved from 62.37% to 100%. The accuracy of the data driven-soft independent modelling of class analogies (DD-SIMCA) model was between 90% and 100%, indicating that the array sensor had a good recognition effect on the adulteration of the same aroma type of Baijiu. Twelve kinds of Maillard reaction products such as tetramethylpyrazine, 2,6-dimethylpyrazine, and furfural in Baijiu were predicted successfully, and the deviation between the real value and the predicted value was less than 1.8746% ± 1.4515%.
Conclusions:
This method not only improves the specificity of spectral detection, and the amount of information extracted from Baijiu samples, but also the detection time is shortened to less than 3 min, and the accurate identification of high-temperature Daqu Baijiu with the same aroma type was realized. This method can provide reliable help for the rapid identification of high-temperature Daqu and other precious Baijiu, even traditional fermented food.
Aim:
Baijiu adulteration has always been a hot spot of social concern, especially high-temperature Daqu Baijiu, because of its better flavor quality and high value, it faces a challenge from illegal adulteration of high-grade Baijiu bottles with low-grade Baijiu.
Methods:
A new ultraviolet-visible spectroscopy (UV-VIS) sensor method based on 2-(2-hydroxyphenyl) benzothiazole (HBT) combined with Zn2+ was constructed. The specific mechanism of light signal change was mainly based on the competitive coordination effect of pyrazines and other nitrogen-containing compounds in high-temperature Daqu Baijiu and small molecular probe HBT on Zn2+ and the excited state intramolecular proton transfer (ESIPT) mechanism of HBT itself.
Results:
The random forest results showed that the prediction set classification accuracy was improved from 62.37% to 100%. The accuracy of the data driven-soft independent modelling of class analogies (DD-SIMCA) model was between 90% and 100%, indicating that the array sensor had a good recognition effect on the adulteration of the same aroma type of Baijiu. Twelve kinds of Maillard reaction products such as tetramethylpyrazine, 2,6-dimethylpyrazine, and furfural in Baijiu were predicted successfully, and the deviation between the real value and the predicted value was less than 1.8746% ± 1.4515%.
Conclusions:
This method not only improves the specificity of spectral detection, and the amount of information extracted from Baijiu samples, but also the detection time is shortened to less than 3 min, and the accurate identification of high-temperature Daqu Baijiu with the same aroma type was realized. This method can provide reliable help for the rapid identification of high-temperature Daqu and other precious Baijiu, even traditional fermented food.
DOI: https://doi.org/10.37349/eff.2025.101067
This article belongs to the special issue Food Authenticity and Emerging Challenges of Novel Food
Aim:
There is growing concern on the use of contaminated and untreated water from industrial discharge for irrigation during the dry season farming in many parts of northern Nigeria. Industries effluents are among the major sources of heavy metal pollution of water bodies and when used for irrigation could be a source of heavy metal bioaccumulation in crops. This study determined the potential non-carcinogenic and carcinogenic health risks in both children and adults through the consumption of some vegetables irrigated with polluted water in Bassa, Plateau, and Nigeria.
Methods:
Four vegetable farms that exclusively use untreated industrial effluents were identified and eight commonly consumed vegetables were sampled for heavy metal analysis using atomic absorption spectrometry. The metals of interest were Cd, Pb, Cr, Cu, and Zn.
Results:
Concentrations of Cd, Pb, and Cr in all the vegetables exceeded the WHO’s permissible limits while Cu and Zn did not. Mean heavy metals in the vegetables ranged from 26.87–33.50 mg/kg (Cd), 4.17–10.90 mg/kg (Pb), 27.00–38.67 mg/kg (Cr), 10.60–24.38 mg/kg (Cu), and 1.77–3.42 mg/kg (Zn). Estimated daily intake (EDI) for Cd and Pb for both children and adults exceeded the oral risk-free dose (RFD) set by US-EPA. However, the EDI of Cu in children exceeds the RFD while the EDI of adults did not exceed RFD. Consumption of all the metal-contaminated vegetables posed a potential non cancer risk hazard index (HI ≥ 1) in both children and adults while the target cancer risks (TCR) were due to ingestion of Cd and Cr in the vegetables with TCR values above 1 × 10–4.
Conclusions:
This study found that adults and children population in this area are susceptible to non cancer and cancer health risks from the consumption of all the studied vegetables. Screening of industrial effluent should be prioritized and enforced to avoid crop heavy metal bioaccumulation.
Aim:
There is growing concern on the use of contaminated and untreated water from industrial discharge for irrigation during the dry season farming in many parts of northern Nigeria. Industries effluents are among the major sources of heavy metal pollution of water bodies and when used for irrigation could be a source of heavy metal bioaccumulation in crops. This study determined the potential non-carcinogenic and carcinogenic health risks in both children and adults through the consumption of some vegetables irrigated with polluted water in Bassa, Plateau, and Nigeria.
Methods:
Four vegetable farms that exclusively use untreated industrial effluents were identified and eight commonly consumed vegetables were sampled for heavy metal analysis using atomic absorption spectrometry. The metals of interest were Cd, Pb, Cr, Cu, and Zn.
Results:
Concentrations of Cd, Pb, and Cr in all the vegetables exceeded the WHO’s permissible limits while Cu and Zn did not. Mean heavy metals in the vegetables ranged from 26.87–33.50 mg/kg (Cd), 4.17–10.90 mg/kg (Pb), 27.00–38.67 mg/kg (Cr), 10.60–24.38 mg/kg (Cu), and 1.77–3.42 mg/kg (Zn). Estimated daily intake (EDI) for Cd and Pb for both children and adults exceeded the oral risk-free dose (RFD) set by US-EPA. However, the EDI of Cu in children exceeds the RFD while the EDI of adults did not exceed RFD. Consumption of all the metal-contaminated vegetables posed a potential non cancer risk hazard index (HI ≥ 1) in both children and adults while the target cancer risks (TCR) were due to ingestion of Cd and Cr in the vegetables with TCR values above 1 × 10–4.
Conclusions:
This study found that adults and children population in this area are susceptible to non cancer and cancer health risks from the consumption of all the studied vegetables. Screening of industrial effluent should be prioritized and enforced to avoid crop heavy metal bioaccumulation.
DOI: https://doi.org/10.37349/eff.2025.101068
Aim:
United Nations calls for actions to meet future challenges, and industries and governments need to look for new solutions. Coffee is one of the largest industries in the world, and spent coffee grounds (SCG) represents 50% of its waste. Sustainable ways to manage this waste are of interest. Research has shown that SCG is rich in dietary fibres and antioxidants, and we liked to examine if SCG could be used in flavouring muffins. The objectives were to investigate the viability of processing SCG through a comparison of different drying methods, to evaluate how SCG influences properties of baked goods and to investigate consumer acceptance of muffins with SCG.
Methods:
Three methods for drying SCG were used: oven drying, freeze drying, and vacuum drying. Muffins were baked with 10% milled and sieved SCG related to flour weight, and a control with 2.5% espresso powder. C-cell-, texture- and moisture analyses were conducted along with a sensory analysis.
Results:
The laboratory measurements showed that SCG powders were comparable to the control regarding textural parameters, except for the slice area parameter. The sensory analysis showed no clear difference in bitterness but a difference in graininess and coffee flavour. The least grainy was the control which also had the strongest coffee flavour. The vacuum dried was the grainiest and the freeze dried had the least coffee flavour. Ranking data showed the control in top and the vacuum dried bottom.
Conclusions:
SCG has the potential as flavouring coffee muffins but a finetuning in the processing and recipe development is needed to retrieve more coffee flavour without increasing bitterness or graininess.
Aim:
United Nations calls for actions to meet future challenges, and industries and governments need to look for new solutions. Coffee is one of the largest industries in the world, and spent coffee grounds (SCG) represents 50% of its waste. Sustainable ways to manage this waste are of interest. Research has shown that SCG is rich in dietary fibres and antioxidants, and we liked to examine if SCG could be used in flavouring muffins. The objectives were to investigate the viability of processing SCG through a comparison of different drying methods, to evaluate how SCG influences properties of baked goods and to investigate consumer acceptance of muffins with SCG.
Methods:
Three methods for drying SCG were used: oven drying, freeze drying, and vacuum drying. Muffins were baked with 10% milled and sieved SCG related to flour weight, and a control with 2.5% espresso powder. C-cell-, texture- and moisture analyses were conducted along with a sensory analysis.
Results:
The laboratory measurements showed that SCG powders were comparable to the control regarding textural parameters, except for the slice area parameter. The sensory analysis showed no clear difference in bitterness but a difference in graininess and coffee flavour. The least grainy was the control which also had the strongest coffee flavour. The vacuum dried was the grainiest and the freeze dried had the least coffee flavour. Ranking data showed the control in top and the vacuum dried bottom.
Conclusions:
SCG has the potential as flavouring coffee muffins but a finetuning in the processing and recipe development is needed to retrieve more coffee flavour without increasing bitterness or graininess.
DOI: https://doi.org/10.37349/eff.2025.101066
The so-called ‘ketogenic diet’ aimed to limit energy derived from carbohydrates, has many variations which cause confusion in the literature and beyond. For ‘intractable’ epilepsy (when seizures cannot be managed completely by drug therapy, also referred to as ‘refractory’, ‘uncontrolled’ or ‘drug-resistant’ epilepsy) the dietary fat to carbohydrate plus protein ratio is held at a ratio of 4:1 or 3:1. Thus promoting fat metabolism to ketone bodies as a primary energy source. This intervention limits glucose availability and consequently neural ‘excitability’ and seizures. Overall, the diet is high-fat, low-carbohydrate, and restricted protein in design. This generally accepted clinical approach (which is based on essentially fasting, historically) was applied and recorded back to the 1920s (for a patient with diabetic ketoacidosis). That observation (and others) initiated the diet applications for epilepsy and thereafter (or perhaps in parallel with) for both (i) weight management (especially the ‘Atkin’s diet) and (ii) enhanced sport performance. Products for weight loss tend to be high-fat but not in the ratios anticipated for seizure management, where, perhaps, brands have been developed that are more cognisant of consumer demands for desirable sensory characteristics than specific nutrient ratios. Whilst ketogenic type diets have been discussed in the context of different applications within the literature, the challenges associated with making and utilising ketogenic products for different applications/needs (with associated compliance) tend not to be addressed. This review addresses some of the challenges associated with creating and consuming ketogenic products, especially for seizure management, which restrict and control energy derived from carbohydrates. It aims to contextualise the issues faced with making and consuming this type of diet with significance generally to individuals interested in this approach to dietary energy regulation, most especially health professionals and people involved in sport nutrition.
The so-called ‘ketogenic diet’ aimed to limit energy derived from carbohydrates, has many variations which cause confusion in the literature and beyond. For ‘intractable’ epilepsy (when seizures cannot be managed completely by drug therapy, also referred to as ‘refractory’, ‘uncontrolled’ or ‘drug-resistant’ epilepsy) the dietary fat to carbohydrate plus protein ratio is held at a ratio of 4:1 or 3:1. Thus promoting fat metabolism to ketone bodies as a primary energy source. This intervention limits glucose availability and consequently neural ‘excitability’ and seizures. Overall, the diet is high-fat, low-carbohydrate, and restricted protein in design. This generally accepted clinical approach (which is based on essentially fasting, historically) was applied and recorded back to the 1920s (for a patient with diabetic ketoacidosis). That observation (and others) initiated the diet applications for epilepsy and thereafter (or perhaps in parallel with) for both (i) weight management (especially the ‘Atkin’s diet) and (ii) enhanced sport performance. Products for weight loss tend to be high-fat but not in the ratios anticipated for seizure management, where, perhaps, brands have been developed that are more cognisant of consumer demands for desirable sensory characteristics than specific nutrient ratios. Whilst ketogenic type diets have been discussed in the context of different applications within the literature, the challenges associated with making and utilising ketogenic products for different applications/needs (with associated compliance) tend not to be addressed. This review addresses some of the challenges associated with creating and consuming ketogenic products, especially for seizure management, which restrict and control energy derived from carbohydrates. It aims to contextualise the issues faced with making and consuming this type of diet with significance generally to individuals interested in this approach to dietary energy regulation, most especially health professionals and people involved in sport nutrition.
DOI: https://doi.org/10.37349/eff.2025.101065
This article belongs to the special issue Ketogenic Diet as Medical Nutrition Therapy
Aim:
African swine fever is a viral disease that has affected the pig business in several nations worldwide. One of the most serious diseases affecting the hog business significantly influences China’s meat sector, as the country is one of the biggest pork consumers. The main objective of the current study is to examine the impact of the breakdown on hog meat output and prices in the China region. Several factors, such as market supply and demand, disease outbreaks, and governmental policies, have caused fluctuations in the price of pigs in China since 2018.
Methods:
The acquired data was first evaluated using a descriptive technique. The price fluctuation caused by African swine disease during the studied time was then evaluated using a t-test, Pearson’s correlation coefficient system, and polynomial regression.
Results:
In the analyzed period from 2015 to 2021, African swine fever outbreak impacts were detected in pork supply and price distribution. The outbreak lowers the output of hog meat, raising the stock price and influencing other meat products’ prices. Polynomial regression analysis employs the correlation between the decreased level of pork supply and the increased price of live pigs. The price of live pigs ranged from 10.57 RMB/kg to 37.10 RMB/kg, with a median of 15.60 RMB/kg and a mean of 21.43 RMB/kg. This suggests a significant increase in prices in comparison to stock levels, which could be a sign of the impact of exogenous disruptions of African swine fever on market dynamics.
Conclusions:
Findings emphasize that such disruption has a negative effect on the supply and demand balance. Moreover, it negatively affects pork production and price distribution. The results highlight that prices are increasing significantly as a consequence of viral outbreaks and decreased pork production.
Aim:
African swine fever is a viral disease that has affected the pig business in several nations worldwide. One of the most serious diseases affecting the hog business significantly influences China’s meat sector, as the country is one of the biggest pork consumers. The main objective of the current study is to examine the impact of the breakdown on hog meat output and prices in the China region. Several factors, such as market supply and demand, disease outbreaks, and governmental policies, have caused fluctuations in the price of pigs in China since 2018.
Methods:
The acquired data was first evaluated using a descriptive technique. The price fluctuation caused by African swine disease during the studied time was then evaluated using a t-test, Pearson’s correlation coefficient system, and polynomial regression.
Results:
In the analyzed period from 2015 to 2021, African swine fever outbreak impacts were detected in pork supply and price distribution. The outbreak lowers the output of hog meat, raising the stock price and influencing other meat products’ prices. Polynomial regression analysis employs the correlation between the decreased level of pork supply and the increased price of live pigs. The price of live pigs ranged from 10.57 RMB/kg to 37.10 RMB/kg, with a median of 15.60 RMB/kg and a mean of 21.43 RMB/kg. This suggests a significant increase in prices in comparison to stock levels, which could be a sign of the impact of exogenous disruptions of African swine fever on market dynamics.
Conclusions:
Findings emphasize that such disruption has a negative effect on the supply and demand balance. Moreover, it negatively affects pork production and price distribution. The results highlight that prices are increasing significantly as a consequence of viral outbreaks and decreased pork production.
DOI: https://doi.org/10.37349/eff.2025.101064
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.
DOI: https://doi.org/10.37349/eff.2024.00063
This article belongs to the special issue Metrological Aspects in the Analysis of Nutrients, Functional Compounds, Additives and Contaminants in Food and Feed
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.
DOI: https://doi.org/10.37349/eff.2024.00062
This article belongs to the special issue Food Contaminants: Analysis, Occurrence and Risk Assessment
Aim:
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.
Methods:
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.
Results:
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.
Conclusions:
Concerning the conclusions positive detections were found in the seawater samples for oxytetracycline, sulfadiazine, caffeine, paracetamol, and trimethoprim.
Aim:
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.
Methods:
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.
Results:
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.
Conclusions:
Concerning the conclusions positive detections were found in the seawater samples for oxytetracycline, sulfadiazine, caffeine, paracetamol, and trimethoprim.
DOI: https://doi.org/10.37349/eff.2024.00061
This article belongs to the special issue Metrological Aspects in the Analysis of Nutrients, Functional Compounds, Additives and Contaminants in Food and Feed
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.
DOI: https://doi.org/10.37349/eff.2024.00060
Aim:
The scope of the present study was to elaborate a nitrite electrochemical sensor using multi-walled carbon nanotubes (MWCNTs) modified Pt electrode.
Methods:
The electrocatalytic activity of the proposed sensor was studied by cyclic voltammetry (CV), chronoamperometry (ChAm), and electrochemical impedance spectroscopy (EIS). Then electrochemical detection of nitrite was performed using square wave voltammetry (SWV).
Results:
The MWCNTs/Pt electrode exhibits good electrocatalytic activity for the oxidation of nitrite in neutral pH. Subsequently, the fabricated electrochemical sensor shows a high sensitivity for the NO2– determination and a low limit of detection (LOD) (0.1 µM) in a wide linear concentration range (1.0–1,000 µM).
Conclusions:
This electrochemical sensor has cost-effective, anti-interference capability as well as good stability, reproducibility, and applicability.
Aim:
The scope of the present study was to elaborate a nitrite electrochemical sensor using multi-walled carbon nanotubes (MWCNTs) modified Pt electrode.
Methods:
The electrocatalytic activity of the proposed sensor was studied by cyclic voltammetry (CV), chronoamperometry (ChAm), and electrochemical impedance spectroscopy (EIS). Then electrochemical detection of nitrite was performed using square wave voltammetry (SWV).
Results:
The MWCNTs/Pt electrode exhibits good electrocatalytic activity for the oxidation of nitrite in neutral pH. Subsequently, the fabricated electrochemical sensor shows a high sensitivity for the NO2– determination and a low limit of detection (LOD) (0.1 µM) in a wide linear concentration range (1.0–1,000 µM).
Conclusions:
This electrochemical sensor has cost-effective, anti-interference capability as well as good stability, reproducibility, and applicability.
DOI: https://doi.org/10.37349/eff.2024.00057
This article belongs to the special issue Natural Deep Eutectic Solvents in Food Chemistry and Advanced Food Materials
Aim:
The Andean tubers Ullucus tuberosus and Arracacia xanthorrhiza are of great international importance due to their nutritional value (carbohydrates, fiber), functional and phenolic compounds. This study aimed to determine the proximate composition of the flours of these tubers, their functional properties, and the phenolic profiles of both the skin and the pulp, since the flour used is a mixture of both.
Methods:
The proximal characteristics were determined as established by the Association of Official Analytical Chemists (AOAC), the functional properties, water holding capacity (WHC), swelling capacity (SC), and oil holding capacity (OHC); and the profile of phenolic compounds was carried out by high performance liquid chromatography-mass spectrometry (HPLC-MS).
Results:
Results revealed that the tubers contain more than 50% carbohydrates, with U. tuberosus having 14% fiber and A. xanthorrhiza having 4.07% fiber. Notably, they are rich in minerals, such as potassium (K), with levels of 4.12% and 3.32% for U. tuberosus and A. xanthorrhiza, respectively. In terms of functional properties, U. tuberosus exhibited a WHC of 0.78 g water/g dry matter (DM), an SC of 1.42 g water/g DM, and an OHC of 0.44 g oil/g DM. In contrast, A. xanthorrhiza showed a WHC of 0.96 g water/g DM, an SC of 3.86 g water/g DM, and an OHC of 0.18 g oil/g DM. Additionally, the study identified various hydroxycinnamic acids, including caffeic acid 4-O-glucoside and p-coumaroyl glucose, as well as methoxyflavonols, such as 3,7-dimethylquercetin.
Conclusions:
These characteristics suggest that the flours could be valuable for the production of bakery products, pastries, pastas, or foods requiring high viscosity. Furthermore, U. tuberosus and A. xanthorrhiza flours have potential applications in the development of functional foods, thus promoting their use and adding value to these tubers produced in the Andean region.
Aim:
The Andean tubers Ullucus tuberosus and Arracacia xanthorrhiza are of great international importance due to their nutritional value (carbohydrates, fiber), functional and phenolic compounds. This study aimed to determine the proximate composition of the flours of these tubers, their functional properties, and the phenolic profiles of both the skin and the pulp, since the flour used is a mixture of both.
Methods:
The proximal characteristics were determined as established by the Association of Official Analytical Chemists (AOAC), the functional properties, water holding capacity (WHC), swelling capacity (SC), and oil holding capacity (OHC); and the profile of phenolic compounds was carried out by high performance liquid chromatography-mass spectrometry (HPLC-MS).
Results:
Results revealed that the tubers contain more than 50% carbohydrates, with U. tuberosus having 14% fiber and A. xanthorrhiza having 4.07% fiber. Notably, they are rich in minerals, such as potassium (K), with levels of 4.12% and 3.32% for U. tuberosus and A. xanthorrhiza, respectively. In terms of functional properties, U. tuberosus exhibited a WHC of 0.78 g water/g dry matter (DM), an SC of 1.42 g water/g DM, and an OHC of 0.44 g oil/g DM. In contrast, A. xanthorrhiza showed a WHC of 0.96 g water/g DM, an SC of 3.86 g water/g DM, and an OHC of 0.18 g oil/g DM. Additionally, the study identified various hydroxycinnamic acids, including caffeic acid 4-O-glucoside and p-coumaroyl glucose, as well as methoxyflavonols, such as 3,7-dimethylquercetin.
Conclusions:
These characteristics suggest that the flours could be valuable for the production of bakery products, pastries, pastas, or foods requiring high viscosity. Furthermore, U. tuberosus and A. xanthorrhiza flours have potential applications in the development of functional foods, thus promoting their use and adding value to these tubers produced in the Andean region.
DOI: https://doi.org/10.37349/eff.2024.00058
Sterigmatocystin (STE) is a possible human carcinogenic compound (2B) according to the International Agency for Research on Cancer classification. Structurally, STE is a precursor to aflatoxins, sharing a similar polyketide-derived biosynthetic pathway, which underscores its toxicological relevance. It has been reported to occur in a variety of foodstuffs including cereals and cereal-based products, spices, cheese, and nuts, among others. STE poses a substantial challenge to food safety and addressing this issue requires a comprehensive strategy encompassing prevention, monitoring, and regulation to protect both human and animal health from its harmful effects. The present paper presents the analytical methodologies for the determination of STE in foodstuffs and the reported levels of STE in food, based on a review of scientific publications from 2021 to 2024. Significative progress has been made in the development of analytical methodologies for STE determination in food; however, further advancements in analytical techniques, standardized protocols, and monitoring are essential to improve risk assessment and guide effective mitigation strategies.
Sterigmatocystin (STE) is a possible human carcinogenic compound (2B) according to the International Agency for Research on Cancer classification. Structurally, STE is a precursor to aflatoxins, sharing a similar polyketide-derived biosynthetic pathway, which underscores its toxicological relevance. It has been reported to occur in a variety of foodstuffs including cereals and cereal-based products, spices, cheese, and nuts, among others. STE poses a substantial challenge to food safety and addressing this issue requires a comprehensive strategy encompassing prevention, monitoring, and regulation to protect both human and animal health from its harmful effects. The present paper presents the analytical methodologies for the determination of STE in foodstuffs and the reported levels of STE in food, based on a review of scientific publications from 2021 to 2024. Significative progress has been made in the development of analytical methodologies for STE determination in food; however, further advancements in analytical techniques, standardized protocols, and monitoring are essential to improve risk assessment and guide effective mitigation strategies.
DOI: https://doi.org/10.37349/eff.2024.00059
This article belongs to the special issue Food Contaminants: Analysis, Occurrence and Risk Assessment
Edible oils are essential in daily diet due to their high contribution of fatty acids, fat-soluble vitamins, and triglycerides. During the processes of growing, processing, storage, transport, or packaging, they can be contaminated by ubiquitous phthalate esters, considered endocrine disruptors. Thus, analytical methodologies to allow tight control of their presence are mandatory. Several sample treatments have been considered in this study: microwave-assisted extraction (MAE), liquid-liquid extraction (LLE), dispersive solid phase extraction (DSPE), magnetic SPE (MSPE), solid phase microextraction (SPME), Surface-enhanced Raman spectroscopy (SERS) or its combinations. However, the selection of an analytical procedure is usually performed from an Analytical Chemistry perspective, without considering factors such as the sustainability of the selected methodology and/or its impact on the environment. In this sense, the Green Analytical Chemistry strategy can play an important role. To demonstrate this fact, six different analytical procedures have been evaluated in terms of sustainability by using several greenness evaluation tools. Procedures from MAE-gel permeation chromatography (GPC)-SPE till SERS, showing adequate analytical characteristics, have been selected. The application of Analytical GREEnness calculator (AGREE), AGREE preparation (AGREE prep), and blue applicability grade index (BAGI) tools showed that MAE-GPC-SPE was the less green analytical procedure while SERS was the greener one. The BAGI evaluation showed that headspace (HS) and SERS were the most applicable procedures.
Edible oils are essential in daily diet due to their high contribution of fatty acids, fat-soluble vitamins, and triglycerides. During the processes of growing, processing, storage, transport, or packaging, they can be contaminated by ubiquitous phthalate esters, considered endocrine disruptors. Thus, analytical methodologies to allow tight control of their presence are mandatory. Several sample treatments have been considered in this study: microwave-assisted extraction (MAE), liquid-liquid extraction (LLE), dispersive solid phase extraction (DSPE), magnetic SPE (MSPE), solid phase microextraction (SPME), Surface-enhanced Raman spectroscopy (SERS) or its combinations. However, the selection of an analytical procedure is usually performed from an Analytical Chemistry perspective, without considering factors such as the sustainability of the selected methodology and/or its impact on the environment. In this sense, the Green Analytical Chemistry strategy can play an important role. To demonstrate this fact, six different analytical procedures have been evaluated in terms of sustainability by using several greenness evaluation tools. Procedures from MAE-gel permeation chromatography (GPC)-SPE till SERS, showing adequate analytical characteristics, have been selected. The application of Analytical GREEnness calculator (AGREE), AGREE preparation (AGREE prep), and blue applicability grade index (BAGI) tools showed that MAE-GPC-SPE was the less green analytical procedure while SERS was the greener one. The BAGI evaluation showed that headspace (HS) and SERS were the most applicable procedures.
DOI: https://doi.org/10.37349/eff.2024.00056
This article belongs to the special issue Food Contaminants: Analysis, Occurrence and Risk Assessment
This review examined the potential of hemp components as functional feed and food ingredients, focusing on their impact on the quality and nutritional value of animal products. Following hemp legalization, there was growing interest in its potential to enhance animal diets and processed animal products due to its rich nutritional profile, including high levels of polyunsaturated fatty acids (PUFA), essential amino acids, and fibre. Incorporating hemp components into feed for monogastric animals, particularly poultry, improved lipid stability, sensory attributes, and the fatty acid composition of meat and eggs. Hemp supplementation for ruminants, especially in goats, increased PUFA and conjugated linoleic acid (CLA) content in milk, improved meat tenderness, and enhanced oxidative stability. However, research on hemp supplementation for pigs and beef remained limited, indicating the need for further exploration of these species. Hemp cake, rich in protein, fibre, and essential fatty acids, was the most widely used hemp component due to its economic viability, nutritional benefits, and sustainability, contributing to improved meat and milk quality. Regulatory concerns about the transfer of tetrahydrocannabinol (THC) residues in the produced animal products restricted the use of hemp biomass. In processed animal products, hemp components were studied for their potential to enhance nutritional value, replace animal fats, and serve as natural preservatives. Although they improved the fatty acid profile and antioxidant properties of meat products, challenges such as textural changes and increased lipid oxidation needed to be addressed for optimal use. Limited studies on dairy products indicated promising nutritional enhancements, but textural issues could impact consumer acceptance. In conclusion, hemp components show significant potential for improving the quality and nutritional value of animal products. Further research is necessary to address regulatory, sensory, and formulation challenges and to expand their application across different animal species and processed animal products.
This review examined the potential of hemp components as functional feed and food ingredients, focusing on their impact on the quality and nutritional value of animal products. Following hemp legalization, there was growing interest in its potential to enhance animal diets and processed animal products due to its rich nutritional profile, including high levels of polyunsaturated fatty acids (PUFA), essential amino acids, and fibre. Incorporating hemp components into feed for monogastric animals, particularly poultry, improved lipid stability, sensory attributes, and the fatty acid composition of meat and eggs. Hemp supplementation for ruminants, especially in goats, increased PUFA and conjugated linoleic acid (CLA) content in milk, improved meat tenderness, and enhanced oxidative stability. However, research on hemp supplementation for pigs and beef remained limited, indicating the need for further exploration of these species. Hemp cake, rich in protein, fibre, and essential fatty acids, was the most widely used hemp component due to its economic viability, nutritional benefits, and sustainability, contributing to improved meat and milk quality. Regulatory concerns about the transfer of tetrahydrocannabinol (THC) residues in the produced animal products restricted the use of hemp biomass. In processed animal products, hemp components were studied for their potential to enhance nutritional value, replace animal fats, and serve as natural preservatives. Although they improved the fatty acid profile and antioxidant properties of meat products, challenges such as textural changes and increased lipid oxidation needed to be addressed for optimal use. Limited studies on dairy products indicated promising nutritional enhancements, but textural issues could impact consumer acceptance. In conclusion, hemp components show significant potential for improving the quality and nutritional value of animal products. Further research is necessary to address regulatory, sensory, and formulation challenges and to expand their application across different animal species and processed animal products.
DOI: https://doi.org/10.37349/eff.2024.00055
Aim:
Triticale is a well adaptable crop, tolerant of disease and abiotic stresses, and able to grow with good yields even in poor soil, thus representing a good choice to develop a new industrial agri-chain in Italy in a sustainability contest, to cope with its soil problems due to incoming desertification.
Methods:
Two triticale elite lines were grown in marginal lands in controlled field experiments. The lines were harvested at two different development stages, namely green mass and seeds, and suitable standard protocols were applied to test their potential to produce bioethanol in line with the emerging bioenergy processes.
Results:
The protocols applied were able to obtain bioethanol with a good yield from both feedstocks. In particular, very efficient fermentation kinetics was observed using seed feedstock, with a sharp curve between 15 h and 24 h, reaching 84% of the total alcohol obtained (final time 72 h).
Conclusions:
Therefore, the results of this research point to new sustainable potential for industrial applications of triticale crops in Italy. Furthermore, the high activity of the endogenous amylolytic enzymes, mainly α-amylase, and the high starch content suggest the potential use of triticale in other industrial applications, like the brewing industry.
Aim:
Triticale is a well adaptable crop, tolerant of disease and abiotic stresses, and able to grow with good yields even in poor soil, thus representing a good choice to develop a new industrial agri-chain in Italy in a sustainability contest, to cope with its soil problems due to incoming desertification.
Methods:
Two triticale elite lines were grown in marginal lands in controlled field experiments. The lines were harvested at two different development stages, namely green mass and seeds, and suitable standard protocols were applied to test their potential to produce bioethanol in line with the emerging bioenergy processes.
Results:
The protocols applied were able to obtain bioethanol with a good yield from both feedstocks. In particular, very efficient fermentation kinetics was observed using seed feedstock, with a sharp curve between 15 h and 24 h, reaching 84% of the total alcohol obtained (final time 72 h).
Conclusions:
Therefore, the results of this research point to new sustainable potential for industrial applications of triticale crops in Italy. Furthermore, the high activity of the endogenous amylolytic enzymes, mainly α-amylase, and the high starch content suggest the potential use of triticale in other industrial applications, like the brewing industry.
DOI: https://doi.org/10.37349/eff.2024.00054
This article belongs to the special issue Metrological Aspects in the Analysis of Nutrients, Functional Compounds, Additives and Contaminants in Food and Feed
Aim:
Volatile organic compounds (VOCs) are often human-made contaminants used and generated in the manufacturing of numerous products, presenting notable environmental and health hazards. Therefore, the development of sensitive and reliable analytical methods is crucial for their detection with accuracy, timeliness, and automation capabilities. The objective of this study is to demonstrate the suitability of the in-tube extraction dynamic headspace (ITEX-DHS) sampling method for the gas chromatographic/mass spectrometric (GC/MS) analysis of BTEX (benzene, toluene, ethylbenzene, and xylenes) compounds in aqueous matrices. It emphasizes the method’s metrological reliability and innovative approach to precisely determining VOCs in aqueous environments providing a tool to prevent contamination of the agrifood sector.
Methods:
Following the optimization of various experimental parameters, including salt incorporation and adjustments of both dry purging and desorption conditions. The method’s performance was evaluated for repeatability, reproducibility, and robustness.
Results:
Limit of detection (LOD) and limit of quantification (LOQ) were for all substances determined lower than 50 and 100 ng/L, respectively. Average relative standard deviations below 5% were achieved for all analytes, with recovery rates ranging between 93% and 101%. Subsequently, the method was applied for the determination of BTEX in one hundred groundwater samples. The findings revealed that the BTEX levels were below the LOD in 84.2% of samples. However, in the remaining samples, more than one compound was detected at concentrations higher than the LOQ.
Conclusions:
The ITEX method emerges as a highly favorable alternative to both solid phase microextraction (SPME) and purge and trap (P & T) methods for determining BTEX in aqueous samples, providing significant advantages. Its strengths lie in its increased robustness, extended trap lifespan, and enhanced sensitivity, underscoring its superior performance in VOC analysis. The total analytical method allows the sensitive and robust determination of VOC.
Aim:
Volatile organic compounds (VOCs) are often human-made contaminants used and generated in the manufacturing of numerous products, presenting notable environmental and health hazards. Therefore, the development of sensitive and reliable analytical methods is crucial for their detection with accuracy, timeliness, and automation capabilities. The objective of this study is to demonstrate the suitability of the in-tube extraction dynamic headspace (ITEX-DHS) sampling method for the gas chromatographic/mass spectrometric (GC/MS) analysis of BTEX (benzene, toluene, ethylbenzene, and xylenes) compounds in aqueous matrices. It emphasizes the method’s metrological reliability and innovative approach to precisely determining VOCs in aqueous environments providing a tool to prevent contamination of the agrifood sector.
Methods:
Following the optimization of various experimental parameters, including salt incorporation and adjustments of both dry purging and desorption conditions. The method’s performance was evaluated for repeatability, reproducibility, and robustness.
Results:
Limit of detection (LOD) and limit of quantification (LOQ) were for all substances determined lower than 50 and 100 ng/L, respectively. Average relative standard deviations below 5% were achieved for all analytes, with recovery rates ranging between 93% and 101%. Subsequently, the method was applied for the determination of BTEX in one hundred groundwater samples. The findings revealed that the BTEX levels were below the LOD in 84.2% of samples. However, in the remaining samples, more than one compound was detected at concentrations higher than the LOQ.
Conclusions:
The ITEX method emerges as a highly favorable alternative to both solid phase microextraction (SPME) and purge and trap (P & T) methods for determining BTEX in aqueous samples, providing significant advantages. Its strengths lie in its increased robustness, extended trap lifespan, and enhanced sensitivity, underscoring its superior performance in VOC analysis. The total analytical method allows the sensitive and robust determination of VOC.
DOI: https://doi.org/10.37349/eff.2024.00053
This article belongs to the special issue Metrological Aspects in the Analysis of Nutrients, Functional Compounds, Additives and Contaminants in Food and Feed
Table olives are one of the most widespread fermented foods in the Mediterranean area, presenting an exponential increase in global consumption in the latest years. As a fermented product, its microbiota consists of a complex ecosystem, the composition of which depends on a multitude of factors and affects the quality attributes of the final product. The swiftly developing and constantly evolving field of omics technologies is being applied to unravel the profile of the microbial ecosystem and enable a deeper understanding of the fermentation process. In particular, the use of amplicon metagenomics facilitates the thorough analysis of the microbiota involved as it encompasses both culturable and unculturable microorganisms. Volatilomics aims at the identification and quantification of the volatile metabolites formed during fermentation with a direct involvement in the safety and quality evaluation of the food product. The integration of metagenomic and volatilomic data, through the application of bioinformatics can enhance the understanding of the interplay between the microbial profile and volatilome, resulting in a more comprehensive view of the system. This review summarized the overall amplicon metagenomics and volatilomics analytical approaches, along with the currently available bioinformatics tools for the data analysis in the field of table olives. Emphasis is given to the integration of amplicon metagenomic and volatilomic data employed to characterize the diversity of microbial populations and reveal the relationships between them and the volatile compounds. The latter may provide an extensive view of the microbial community dynamics, which is key in table olive fermentation and the microbiota’s functional properties. The potentiality to evaluate their effect in shaping the quality and unique features of the final product is highlighted.
Table olives are one of the most widespread fermented foods in the Mediterranean area, presenting an exponential increase in global consumption in the latest years. As a fermented product, its microbiota consists of a complex ecosystem, the composition of which depends on a multitude of factors and affects the quality attributes of the final product. The swiftly developing and constantly evolving field of omics technologies is being applied to unravel the profile of the microbial ecosystem and enable a deeper understanding of the fermentation process. In particular, the use of amplicon metagenomics facilitates the thorough analysis of the microbiota involved as it encompasses both culturable and unculturable microorganisms. Volatilomics aims at the identification and quantification of the volatile metabolites formed during fermentation with a direct involvement in the safety and quality evaluation of the food product. The integration of metagenomic and volatilomic data, through the application of bioinformatics can enhance the understanding of the interplay between the microbial profile and volatilome, resulting in a more comprehensive view of the system. This review summarized the overall amplicon metagenomics and volatilomics analytical approaches, along with the currently available bioinformatics tools for the data analysis in the field of table olives. Emphasis is given to the integration of amplicon metagenomic and volatilomic data employed to characterize the diversity of microbial populations and reveal the relationships between them and the volatile compounds. The latter may provide an extensive view of the microbial community dynamics, which is key in table olive fermentation and the microbiota’s functional properties. The potentiality to evaluate their effect in shaping the quality and unique features of the final product is highlighted.
DOI: https://doi.org/10.37349/eff.2024.00052
This article belongs to the special issue Metrological Aspects in the Analysis of Nutrients, Functional Compounds, Additives and Contaminants in Food and Feed
Aim:
The present study aimed to determine the profile of micronutrients and inorganic contaminants in the plant-based and dairy food products most consumed by the Portuguese population.
Methods:
The sampling plan followed the Total Diet Studies (TDS) methodology and included representative samples of the Portuguese vegetarian diet, chosen based on the National Food and Physical Activity Survey. Five main food groups were selected: Grains and grain-based products (n = 48); Dairy products (n = 60); Products for non-standard diets (n = 72); Pulses, dried fruits, and oilseeds (n = 132); and Fruiting vegetables (n = 12). The sampling plan included 324 individual samples, prepared as 27 pooled samples for laboratory analyses. Each pooled sample was analyzed for 13 elements: As, Cd, Co, Cr, Cu, I, Li, Mn, Mo, Pb, Se, Sr, and Zn. The methodology used for the analysis was ICP-MS with samples previously subjected to acid digestion through closed vessel microwave-assisted, except for I, which required an alkaline extraction.
Results:
The results of this study indicate that food samples from the group of Pulses, dried fruits, and oilseeds had the highest content of Mn, Zn, Mo, and Se. On the other hand, Products for non-standard diets and Dairy products had the highest content of Cu and I, respectively. The As, Cd, and Pb levels were below the limit of quantification for most of the analyzed samples from every food group.
Conclusions:
This research enabled updating the Portuguese Food Composition Database (FCD), underscoring the importance of regular dietary assessments and the role of FCDs and TDS in safeguarding public health by ensuring nutritional adequacy and safety in the food supply.
Aim:
The present study aimed to determine the profile of micronutrients and inorganic contaminants in the plant-based and dairy food products most consumed by the Portuguese population.
Methods:
The sampling plan followed the Total Diet Studies (TDS) methodology and included representative samples of the Portuguese vegetarian diet, chosen based on the National Food and Physical Activity Survey. Five main food groups were selected: Grains and grain-based products (n = 48); Dairy products (n = 60); Products for non-standard diets (n = 72); Pulses, dried fruits, and oilseeds (n = 132); and Fruiting vegetables (n = 12). The sampling plan included 324 individual samples, prepared as 27 pooled samples for laboratory analyses. Each pooled sample was analyzed for 13 elements: As, Cd, Co, Cr, Cu, I, Li, Mn, Mo, Pb, Se, Sr, and Zn. The methodology used for the analysis was ICP-MS with samples previously subjected to acid digestion through closed vessel microwave-assisted, except for I, which required an alkaline extraction.
Results:
The results of this study indicate that food samples from the group of Pulses, dried fruits, and oilseeds had the highest content of Mn, Zn, Mo, and Se. On the other hand, Products for non-standard diets and Dairy products had the highest content of Cu and I, respectively. The As, Cd, and Pb levels were below the limit of quantification for most of the analyzed samples from every food group.
Conclusions:
This research enabled updating the Portuguese Food Composition Database (FCD), underscoring the importance of regular dietary assessments and the role of FCDs and TDS in safeguarding public health by ensuring nutritional adequacy and safety in the food supply.
DOI: https://doi.org/10.37349/eff.2024.00051
This article belongs to the special issue Metrological Aspects in the Analysis of Nutrients, Functional Compounds, Additives and Contaminants in Food and Feed
Aim:
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.
Methods:
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.
Results:
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.
Conclusions:
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.
Aim:
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.
Methods:
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.
Results:
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.
Conclusions:
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.
DOI: https://doi.org/10.37349/eff.2024.00050
This article belongs to the special issue Metrological Aspects in the Analysis of Nutrients, Functional Compounds, Additives and Contaminants in Food and Feed
