Search

In recent years, the emerging Digital Twin (DT) paradigm under Industry 4.0 has been attracting more attention from both practitioners and academia due to its dynamic capabilities. Most DT studies are theoretical and deal with hypothetical analysis, whereas fewer studies are available on real-life empirical cases. Due to dynamic problem-solving capabilities, DT technologies are widely used in performance improvement analysis in food processing companies (FPC) despite limited implication's for business strategies. Our study incorporates the DT technologies with an implementation case study on FPC and accomplishes the real-life problem of the food processing company (FPC). Moreover, the proposed DT research framework demonstrates the various DT implementation stages, such as strategic mapping and physical-virtual space replica, with rigorous analysis. The results show that DT enhances the existing system's machine availability, allocation efficiency, technical efficiency, worker efficiency, utilization rate, effectiveness, step ratio, and throughput rate. The proposed physical-virtual interface model is executed using AnyLogic software with JAVA-enabled programming. [ABSTRACT FROM AUTHOR]

Advancements in food-contaminant detection technologies can significantly improve food safety and human health. Surface-enhanced Raman spectroscopy (SERS) has become the preferred analytical method for food-safety detection owing to its numerous advantages, which include unique 'molecular fingerprinting' features, high sensitivity, rapid responses, and non-invasive characteristics. Raman-signal enhancements rely heavily on high-performance SERS substrates. In recent years, metal–organic framework (MOF)-based SERS substrates have gained attention as promising candidates for developing SERS technologies owing to their distinctive structures and functions. This review comprehensively examines recent advances in MOF-based SERS substrates, focusing on the main role of MOFs in SERS substrates as well as their typical categories and structures, construction methods, and representative applications in food-contaminant detection. First, the primary roles of MOFs in SERS substrates are briefly introduced. Next, a comprehensive overview of the typical categories and structures of MOF-based SERS substrates is discussed. Subsequently, a fundamental view of the general construction methods for MOF-based SERS substrates is presented. Next, the main applications of MOF-based SERS substrates for food-contaminant detection are summarised. Finally, challenges and perspectives, including improvements in SERS performance and stability, and the unification of SERS mechanisms, are addressed and discussed. [ABSTRACT FROM AUTHOR]

Fe3+‐doped MgGa2O4 (MGO: Fe3+) spinel‐type near‐infrared (NIR) phosphor with non‐toxicity, outstanding thermal stability, and tunable emission has recently gained great concern owing to its wide applications. Nevertheless, the existence of detrimental O defects in the MgGa2O4 host and the forbidden d‐d transitions of Fe3+ lead to unsatisfactory luminescence efficiency, limiting the commercial application. In this study, a vacancy repairing engineering has been innovatively developed via F− substitution in MGO: Fe3+ (MGOF: Fe3+) for significantly enhancing NIR emission and maintaining outstanding thermal stability. Specifically, F− substitution with a similar radius effectively repairs the intrinsic O vacancy defects of MGO, thereby prohibiting the detrimental electron‐capturing effect. Meanwhile, F− incorporation can make the lattice of MGO distort and break the forbidden transition of Fe3+. Significantly, the obtained MGOF: Fe3+ presents a 16‐fold higher emission intensity than that of MGO: Fe3+. More important, the MGOF: Fe3+ can remain at 91.17% (363 K) and 85.10% (423 K). Finally, the NIR emission of MGOF: Fe3+ can be used for night vision, non‐destructive biological tissue detection, and food analysis. The proposed vacancy repairing strategy can certainly stimulate some new thoughts and concepts in designing high‐performance phosphors for wider applications. [ABSTRACT FROM AUTHOR]

The use of antimicrobials is essential for the aquaculture sector; however, their misuse is cause for concern because it could adversely affect the environment and human health. Irresponsible use of antimicrobials can lead to antimicrobial resistance and result in the presence of unwanted residues in aquaculture products. The establishment of maximum residue limits (MRLs) for antimicrobials is of great importance for monitoring their correct use, but the lack of harmonized standards as well as the regulatory gaps for the aquatic products create a challenging situation, as it is reflected in import notifications related to food safety. This paper collects information about current MRLs for antimicrobials in aquatic commodities in the main importing and exporting countries of aquatic products and compares them with each other and with MRLs set by Codex Alimentarius. This analysis highlighted the need for Codex Alimentarius guidance regarding MRLs for nine antimicrobials in aquaculture products (chlortetracycline, doxycycline, enrofloxacin, erythromycin, florfenicol, sulfadimethoxine + ormetoprim, sulfamerazine, tetracycline, and trimethoprim). This paper shows that there is still work to do to implement exhaustive science‐based international standards for residues permitted in aquatic commodities and promote harmonization. [ABSTRACT FROM AUTHOR]

A masticatory simulator is a mechanical device that mimics the physiological structures of the human oral cavity, chewing movement system, and functions. The advantage of this device lies in real‐time tracking and analysis of food boluses within a sealed oral space, offering a direct validation platform for food experiments without constraints related to time, space, and individual variations. The degree to which the masticatory simulator simulates physiological structures reflects its efficacy in replicating oral physiological processes. This review mainly discusses the physiological structures of the oral cavity, the simulation of biomimetic components, and the development, feasibility assessment, applications, and prospects of masticatory simulators in food. The highlight of this review is the analogy of biomimetic component designs in masticatory simulators over the past 15 years. It summarizes the limitations of masticatory simulators and their biomimetic components, proposing potential directions for future development. The purpose of this review is to assist readers in understanding the research progress and latest literature findings on masticatory simulators while also offering insights into the design and innovation of masticatory simulators. [ABSTRACT FROM AUTHOR]

Cubic hollow-structured NiCo-LDH was synthesized using a solvothermal method. Subsequently, clay-like Ti3C2Tx MXenes were electrostatically self-assembled with NiCo layered double hydroxides (NiCo-LDH) to form composites featuring three-dimensional porous heterostructures. The composites were characterized using SEM, TEM, XRD, XPS, and FT-IR spectroscopy. Ti3C2Tx MXenes exhibit excellent electrical conductivity and hydrophilicity, providing abundant binding sites for NiCo-LDH, thereby promoting an increase in ion diffusion channels. The formation of three-dimensional porous heterostructural composites enhances charge transport, significantly improving sensor sensitivity and response speed. Consequently, the sensor demonstrates excellent electrochemical detection capability for quercetin (Qu), with a detection range of 0.1–20 µM and a detection limit of 23 nM. Additionally, it has been applied to the detection of Qu in natural plants such as onion, golden cypress, and chrysanthemum. The recovery ranged from 97.6 to 102.28%. [ABSTRACT FROM AUTHOR]

Dispersive solid-phase extraction (dSPE) is a crucial step for multiresidue analysis used to remove matrix components from extracts. This purification prevents contamination of instrumental equipment and improves method selectivity, sensitivity, and reproducibility. Therefore, a clean-up step is recommended, but an over-purified extract can lead to analyte loss due to adsorption to the sorbent. This study provides a systematic comparison of the advantages and disadvantages of the well-established dSPE sorbents PSA, GCB, and C18 and the novel dSPE sorbents chitin, chitosan, multi-walled carbon nanotube (MWCNT), and Z-Sep® (zirconium-based sorbent). They were tested regarding their clean-up capacity by visual inspection, UV, and GC-MS measurements. The recovery rates of 98 analytes, including pesticides, active pharmaceutical ingredients, and emerging environmental pollutants with a broad range of physicochemical properties, were determined by GC-MS/MS. Experiments were performed with five different matrices, commonly used in food analysis (spinach, orange, avocado, salmon, and bovine liver). Overall, Z-Sep® was the best sorbent regarding clean-up capacity, reducing matrix components to the greatest extent with a median of 50% in UV and GC-MS measurements, while MWCNTs had the largest impact on analyte recovery, with 14 analytes showing recoveries below 70%. PSA showed the best performance overall. [ABSTRACT FROM AUTHOR]

Context: Proximate analysis is also called the Weende method. It has been the standard used for describing the chemical composition of feed ingredients for the past 150+ years. Understanding of the chemical composition of feeds has changed greatly in that time. Most of the current terms used for proximate analyses are unclear and misleading: (1) Crude protein , nitrogen × 6.25 describes true protein plus any other nitrogen-containing compounds including nucleotides and even phospholipids. (2) Crude fibre represents approximately half of the true fibre in most ingredients, but only approximately one-seventh of the fibre in important ingredients like soybean meal. (3) Ether Extract represents the neutral lipids in ingredients but little of the polar lipids like the lecithins. (4) The Nitrogen-free Extract is not an extract at all. It is supposed to represent starch in feed, but it contains large proportions of pectin, hemicellulose and even some cellulose. It reflects the error in Crude Fibre. Inadequacies of the Weende system have been known for a very long time. Animal producers desire to embrace modern technology and adapt more precise feeding techniques. Aims: This paper explains how 19th century chemistry relates to 21st century understandings of feed composition and proposes an updated method of feed ingredient analysis. Methods: A new method of describing feed composition based on 13 modern chemical categories was conceived and called the 'Armidale Method', to distinguish it from the Weende method. The new feed chemical category method was used to compile a preliminary database based on: moisture, sugars, oligosaccharides, starch, pectin, hemicellulose, cellulose, lignin, ash, neutral lipids, polar lipids, true protein, and nonprotein nitrogenous compounds. Key results: Composition values for 26 ingredients compiled from three sources averaged 1032.0 ± 49.5 g/kg, comparable to the theoretical 1000 g/kg. Conclusions: The Armidale Method of analyses could be the starting point for discussions of new standardised procedures for ingredient trade and feed formulation. Implications: It is time for producers, in conjunction with nutritionists and analytical chemists, to explore the best ways to represent the composition of feed ingredients for feeding value and trade. Since the 19th century, when little was known about chemical composition of feeds, gross feed analysis for trade and estimating energetic contributions has been based on the Weende method (moisture, crude protein, crude fibre, ether extract, ash and nitrogen-free extract). A new, Armidale Method, is proposed here. It consists of 13 chemical categories based on modern knowledge of feed chemistry (moisture, true protein, nonprotein nitrogenous compounds, neutral and polar lipids, sugars, oligosaccharides, starch, pectin, lignin, hemicellulose, cellulose, and ash). This paper belongs to Animal Science Reflections and Collection: Recent Advances in Animal Nutrition - Australia 2025. [ABSTRACT FROM AUTHOR]

Summary: The size and morphology of particles impact the quality and functionality of food in derived particulate systems. This review presents an extensive bibliometric analysis targeting food science and technology. Through keyword compilation and bibliographic coupling analysis, the research topics identified are as follows: stability and functionality of food systems, ultrasound‐assisted processes, food oral processing and digestion, starch properties and modifications, and spray drying and microencapsulation. This comprehensive overview details the primary methods employed in particulate systems and highlights the influence of particles in the design of food systems. [ABSTRACT FROM AUTHOR]

Plants provide multiple ecosystem services that can, directly and indirectly, benefit the local community and beyond. This study assessed the diversity of the multiple uses of medicinal plants (MPs) and wild edible plants (WEPs) as well as associated local knowledge in Bako Tibe District, Ethiopia. Based on the recommendation of local authorities, eight key informants were selected out of the general informants (48) at eight sites. Ethnobotanical data were quantitatively analyzed through the use of use values, pairwise comparisons, and reference and direct matrix rankings. In total, 74 species from 61 genera and 36 families were found to have multiple uses. The Fabaceae family had the highest number of species (11), followed by the Moraceae family (eight). Trees were represented by 31 species. Twenty species were used to treat 22 human and livestock ailments. The highest preference ranking was recorded for Ocimum lamiifolium for treating febrile illness. Leaves (55.2%) and fruits (13 species) were the most commonly used parts for MP and WEP species, respectively. The highest use value was recorded for Cordia africana, among the top 10 multipurpose species. The findings showed that the most preferred MP and WEP species need further phytochemical and food nutritional analysis, respectively. [ABSTRACT FROM AUTHOR]

This study investigates the hygiene status, behavioral practices, and handling of cutting boards for meat and vegetable processing in selected open markets in Benin City. Utilizing a structured questionnaire and laboratory analysis for Escherichia coli and Aeromonas, the research found prevalent Escherichia coli in all samples, with varying concentrations of Aeromonas, more pronounced in vegetable processing areas. Analysis of the questionnaire revealed that 30% of traders leave cutting boards uncovered, 88% clean them before use (52% with water and detergent), and 12% dust boards before use. Furthermore, 80% of meat sellers store leftover meat in refrigerators, while 68% of vegetable sellers store leftovers in the open market. The findings underscore the importance of proper hygienic practices in handling cutting boards to mitigate food contamination risks, urging awareness among traders regarding effective cleaning and storage procedures. [ABSTRACT FROM AUTHOR]

Ensuring accurate classification of rice as either cooked or dry is vital for food safety, as improperly stored or cooked rice contain harmful bacteria, emphasizing the importance of maintaining and monitoring food safety standards. In the field of image analysis and food classification, classifying dry and cooked rice samples using photographs is an interesting but difficult task. The main challenge stems from the minute visual variations between cooked and dry rice, which has not always displayed distinct traits that are easily observable by machines. Hence, various machine learning algorithms were implemented to effectively mitigate this issue. However, the existing works have not analysed the physicochemical characteristics due to non-destructive type of experimentation method with image processing. To overcome this issue, this work develops the Classification and Regression Tree (CART) of Decision Tree Learning method for classifying the rice grain samples as dry or cooked based on the physicochemical characteristics such as morphological, texture and color features, which in turn gain an exhaustive facts of rice quality in diverse state. Initially, the images are captured, pre-processed and the features are extracted. From the extracted features, the rice samples are classified as dry and cooked using DT and the results are compared with the existing algorithms like K-Nearest Neighbour (KNN) and Support Vector Machine (SVM). The comparative analysis of these classification algorithms infers the outperformance of the DT learning model under morphological, texture and color features in terms of accuracy, error, precision, recall and F-score. [ABSTRACT FROM AUTHOR]

One of the most crucial factors in determining the consumer acceptability of processed or non-processed food products is their textural characteristics. Textural properties of food items can be created during processing by different techniques, one of which is drying. Drying which is one of the most widely used preservation methods of food products can extend their shelf life and generate unique sensory characteristics. The complicated process of drying is characterized by massive deformations while simultaneously transferring heat and moisture. Texture parameters of the dried food products vary depending on the type of dried food product (fruit and vegetables, grain and cereals, meat and marine), including the final volume, porosity, crust formation, and bulk density. Thus, this review focused on the examination of the textural characteristics of dried food items, the impact of the drying process, and the applied method on textural parameters. This study has also investigated the importance of pretreatment methods in improving the textural properties and quality of dried products. Furthermore, this review also considers the importance of modeling for texture prediction, discussing the different modeling approaches and their principles and applications. Recent applied nondestructive methods for textural analysis have been discussed in terms of application and performance. [ABSTRACT FROM AUTHOR]

It is crucial to realize the point‐of‐care (POC) testing of harmful analytes, capable of saving limited agricultural resources, assisting environmental remediation, ensuring food safety, and enabling early disease diagnosis. Compared with other conventional POC sensing strategies, aggregation‐based analytical chemistry facilitates the practical‐oriented development of POC nanosensors by altering the aggregation status of nanoprobes through the action of multiple aggregation‐induced "forces" originating from the targets. Herein, we have proceeded with a comprehensive review focusing on the aggregation‐based analytical chemistry in POC nanosensors, covering aggregation‐induced "forces", aggregation‐induced signal transductions, aggregation‐induced POC nanosensing strategies, and their applications in biomolecular monitoring, food safety analysis, and environmental monitoring. Finally, challenges existing in practical applications have been further proposed to improve their sensing applications, and we expect our review can speed up the development of cost‐effective, readily deployable, and time‐efficient nanosensors through aggregation‐based analytical chemistry. [ABSTRACT FROM AUTHOR]

Adulteration of food products is a serious problem in the current economy. Honey has become the third most counterfeit food product in the world and requires effective authentication methods. This article presents a new approach to the differentiation of bee pollen, which can support the development of a methodology to test honey quality based on the analysis of bee pollen. The proposed method is built on applying the Hjorth descriptors—Activity, Mobility, and Complexity—known from electroencephalography (EEG) analysis, for 2D bee pollen images. The sources for extracting the bee pollen images were the photos of honey samples, which were taken using a digital camera with a resolution of 5 megapixels connected to the tube of an optical microscope. The honey samples used were prepared according to the Polish standard PN-88/A-77626 (related to the European standard CELEX-32001L0110-PL-TXT). The effectiveness of the proposed method was positively verified for three selected groups of bee pollen—Brassica napus, Helianthus, and Phacelia—containing 35 images. Statistical analysis confirms the ability of the Hjorth descriptors to differentiate the indicated bee pollen groups. Based on the results obtained, there is a significant difference between the bee pollen groups under consideration regarding Activity p < 0.00001 , Mobility p < 0.0001 , and Complexity p < 0.00001 . [ABSTRACT FROM AUTHOR]

Public health authorities are undertaking initiatives aimed at reducing sugar intake because it is linked to detrimental health outcomes. Individuals' attitudes and intentions toward sugar can be significant factors affecting intake. Therefore, we here aimed to evaluate individuals' attitudes and intentions toward sugar intake by combining the theory of planned behavior with different frameworks. Accordingly, we developed an online questionnaire and reached 940 participants. We observed that subjective norms (β = −0.140; p < 0.001) and perceived behavioral control (β = −0.138; p < 0.001) as defined in the theory of planned behavior significantly affected attitude. Subsequently, examining the effect of attitude (β = −0.209; p = 0.018) and intention (β = 0.717; p < 0.001) on sugar intake showed that intention had a positive effect, whereas attitude had no significant effect. Mediation analysis showed that attitude influenced sugar intake through intention (β = −0.286; p = 0.001). Furthermore, we determined that components including habits, perceived understanding, perceived nonautonomy, negativity, and apathy can affect attitude toward sugar intake (p < 0.001). Analyzing the effects of sociodemographic factors revealed that sugar intake was lower in individuals with food allergies (p < 0.05). In conclusion, these findings suggest that the theory of planned behavior, when combined with different frameworks, can be effective in predicting sugar intake and individuals' intentions. [ABSTRACT FROM AUTHOR]

The human diet is a factor for disease prevention and the extension of life expectancy. Loss of teeth can adversely affect chewing capacity, which can lead patients to modify their diet and subsequently result in a poor dietary intake. This work is conducted within the framework of an ongoing research project in the Dentistry School of Universidad de la Frontera aimed at designing a diet for patients with complete removable dental prostheses (CRDP). This study aimed to evaluate the hardness of foods in a diet designed for patients using CRDP, using texture profile analysis (TPA). TPA was used to measure the hardness of 43 foods, categorized into seven groups, dairy, animal protein, fruits, vegetables, cereals and grains, high-lipid foods, and vegetable protein, to understand their impact on masticatory performance in CRDP wearers. TPA consists of two compression cycles where the food sample is compressed until it reaches a pre-established deformation. The first force peak achieved in the first cycle is used as a measure of sample hardness. Significant differences in hardness were identified within each food group, indicating a wide spectrum of textural properties that could influence chewing behavior. These findings suggest that assessing food hardness can help tailor dietary recommendations to improve masticatory efficiency in patients with dental prostheses. [ABSTRACT FROM AUTHOR]

Based on the bibliometric method, relevant research literature in the field of cranberry food included in the CNKI database from 2013 to 2023 was searched and further analyzed. A total of 444 Chinese and English literatures were obtained through screening, and CiteSpace software was used to analyze the current research status and hotspots in this field from the perspectives of annual publication volume, issuing journals, countries, authors and their institutions, as well as cooccurrences, clustering, and emergent words of keywords. The results showed that the overall trend of the number of publications from 2013 to 2023 was stable, with an average of about 40 publications per year. The journal with the highest number of publications was Food Chemistry (25), which accounted for 6% of the total literature, followed by Food & Function (22) and Journal of Agricultural and Food Chemistry (20). The top 3 countries in terms of the number of articles published were the United States, Poland, and Canada. The author with the most postings was Christina Khoo (17), a researcher from Ocean Spray, USA. The keyword analysis in the CNKI database showed that the keywords with the highest frequency were cranberry, proanthocyanidins, cranberry juice, bioactive components, urinary tract infection, antioxidant properties, intestinal microbiota and processing, health functions, and so on. The hotspots of the literature research in the field of cranberry food were mostly focused on the study of cranberry composition and function, and the exploration of the application of new processed products such as cranberry juice in the food industry. By comprehensively analyzing the literature in the CNKI database, this article can point out the direction for researchers in China cranberry food industry to engage in related research, and provide data references and help in predicting the future development trend of the industry. [ABSTRACT FROM AUTHOR]

Copyright of Shipin Kexue/ Food Science is the property of Food Science Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The assessment of global food security is imperative for sustainable development worldwide. However, limited data availability has impeded a comprehensive evaluation on a global scale. This study addresses this challenge by conducting a thorough food security analysis spanning 169 countries from 2008 to 2020. To overcome data limitations, an imputed database is generated using four machine learning models to estimate missing data. The results uncover significant disparities in food security across regions. Europe, Oceania, and North America exhibit higher levels, while East Asia and South America fall in the middle, and Africa and South Asia experience lower levels. Notably, six African countries have made considerable progress in food security, potentially attributed to support from nations such as France, the United States, China, and Japan. Policy recommendations include humanitarian relief, expanding social safety nets, developing transportation networks, supplying fertilizers in vulnerable areas, and stabilizing food prices through national fiscal policies are also proposed for economies with low food security performance. The study provides an imputed database for 44 indicators from 2008 to 2020, offering insights into food security and potential solutions for governments and international organizations. [ABSTRACT FROM AUTHOR]

Food allergens in processed foods are affected by heating, processing, and the food matrix. To conduct highly reliable tests, extracting allergens into test solutions is necessary for appropriate detection. In addition to the commonly used enzyme-linked immunosorbent assay (ELISA), liquid chromatography-mass spectrometry (LC–MS), which has the advantage of simultaneously detecting multiple allergens in foods, is being increasingly used. When managing food allergens at food manufacturing sites, obtaining the same measured values is desirable, regardless of the analytical method used. Therefore, in this study, we focused on the importance of pretreatment steps for LC–MS when examining food allergens in processed foods, which can be difficult to analyze. The ELISA method uses food extracts optimized for analyzing allergens in processed foods. We developed a high-resolution accurate mass spectrometry (HRAM)-LC–MS/MS method using the same food extract used in the ELISA method and an MS sample preparation kit. Multiple food allergen analysis was performed using 1, 5, 10, and 20 ppm of allergen-incurred processed foods. Overall, a strong correlation was observed between the measured values of HRAM-LC–MS/MS and ELISA, demonstrating the applicability of multi-allergen analysis using LC–MS. [ABSTRACT FROM AUTHOR]

Plant pathogens, including viruses, bacteria, and fungi, cause massive crop losses around the world. Abiotic stresses, such as drought, salinity and nutritional deficiencies are even more detrimental. Timely diagnostics of plant diseases and abiotic stresses can be used to provide site- and doze-specific treatment of plants. In addition to the direct economic impact, this "smart agriculture" can help minimizing the effect of farming on the environment. Mounting evidence demonstrates that vibrational spectroscopy, which includes Raman (RS) and infrared spectroscopies (IR), can be used to detect and identify biotic and abiotic stresses in plants. These findings indicate that RS and IR can be used for in-field surveillance of the plant health. Surface-enhanced RS (SERS) has also been used for direct detection of plant stressors, offering advantages over traditional spectroscopies. Finally, all three of these technologies have applications in phenotyping and studying composition of crops. Such noninvasive, non-destructive, and chemical-free diagnostics is set to revolutionize crop agriculture globally. This review critically discusses the most recent findings of RS-based sensing of biotic and abiotic stresses, as well as the use of RS for nutritional analysis of foods. [ABSTRACT FROM AUTHOR]

Three chemosensors ISA‐1, ISA‐2, and ISA‐3 were synthesized for the detection of Cu2+ and Hg2+ ions in a 50% H₂O‐DMF solution. ISA‐1 is specifically designed for the detection of Cu2+ ions, while ISA‐2 can detect both Cu2⁺ and Hg2⁺ ions. Upon interaction with Cu2⁺, ISA‐1 undergoes a naked‐eye colorimetric transition from pink to blue. ISA‐2 exhibits a similar pink‐to‐blue color change in the presence of Cu2+ ion, however, colorless when exposed to Hg2+ ion. The detection limits for Cu2+ using ISA‐1 and ISA‐2 are 0.574 ppm and 0.0074 ppm, respectively, both of which are significantly lower than the WHO guideline of ≤1.5 ppm for Cu2+ in drinking water. These chemosensors have also been successfully integrated into paper strips and logic gate systems and applied for the analysis of water and food samples. [ABSTRACT FROM AUTHOR]

ABSTRACT Aim Methods Results Conclusion To evaluate the association between baseline starch intake (amount and sources) and changes in periodontal status over 11 years in adults.Adults aged 30–82 years, who participated in the Finnish Health 2000 survey and were re‐examined in 2004/2005 and/or 2011 were included in the study. The consumption of total starch and six relevant food groups (potatoes, fried potatoes, roots and tubers, pasta, wholegrains and legumes) over the past year was determined at baseline with a validated food frequency questionnaire. The number of teeth with periodontal pocketing ≥ 4 mm (NTPP) was recorded during clinical examinations in 2000, 2004/2005 and 2011. The association between baseline starch intake and the 11‐year change in the NTPP was tested in mixed‐effects negative binomial regression models, adjusting for covariates.A total of 1369 adults were included in the analysis. The mean NTPP was 4.1 ± 5.6, 6.3 ± 5.6, and 4.8 ± 5.9 in waves 1, 2 and 3, respectively. Baseline starch intake (in g/day or % energy intake) was not associated with changes in the NTPP after adjustment for covariates. In analysis by food groups, the baseline intake of wholegrains was negatively associated with the NTPP at baseline.This study found no evidence of an association between baseline starch intake and changes in periodontal status. Baseline intake of wholegrains was associated with better periodontal status at baseline. [ABSTRACT FROM AUTHOR]

Aims Methods Results Conclusions To assess test–retest reliability of both food photography and food diary methods and validity of these data against known values derived from food labels.Test–retest reliability analyses of food diary and food photography were compared using single foodstuffs using intra‐class correlation coefficients, coefficients of variation, and limits of agreement. For food diaries, 24‐h test–retest reliability was also examined. Validity was assessed against weighed analyses. As part of habitual intake, a single foodstuff (randomly allocated from 14 common foods) was consumed by 26 participants over 24‐h. On two occasions (14 days apart), single‐blind dietary analyses allowed estimation of foodstuff‐specific energy and macronutrient content and 24‐h intakes.For food diaries, test–retest reliability was acceptable (weight, energy, carbohydrate, protein, and fat: all intra‐class correlation coefficients: >0.990, coefficient of variation percentage: <0.1%, limits of agreements: <0.1 to <0.1, p > 0.05, and effect size: <0.01). For food photography, test–retest reliability was acceptable for weight, energy, carbohydrate, and protein (all intra‐class correlation coefficients: >0.898, coefficient of variation percentage: 3.6%–6.2%, limits of agreements: 1.1 to – 44.9, and effect size: 0.01–0.12). Food photography validity was worse than food diaries for all variables (percentage difference: 8.8%–15.3%, coefficient of variation percentage: 7.5%–13.8%, all p ≤ 0.05, and effect size: 0.001–0.11).Greater reliability and validity occurred in food diaries versus food photography. These findings suggest that using food photography may lead to an underestimation of energy and macronutrient content, which may have implications for dietary interventions and nutritional strategies. [ABSTRACT FROM AUTHOR]

Non-targeted NMR is widely accepted as a powerful and robust analytical tool for food control. Nevertheless, standardized procedures based on validated methods are still needed when a non-targeted approach is adopted. Interlaboratory comparisons carried out in recent years have demonstrated the statistical equivalence of spectra generated by different instruments when the sample was prepared by the same operator. The present study focused on assessing the reproducibility of NMR spectra of the same matrix when different operators performed individually both the sample preparation and the measurements using their spectrometer. For this purpose, two independent laboratories prepared 63 tomato samples according to a previously optimized procedure and recorded the corresponding 1D 1H NMR spectra. A classification model was built using the spectroscopic fingerprint data delivered by the two laboratories to assess the geographical origin of the tomato samples. The performance of the optimized statistical model was satisfactory, with a 97.62% correct sample classification rate. The results of this work support the suitability of NMR techniques in food control routines even when samples are prepared by different operators by using their equipment in independent laboratories. [ABSTRACT FROM AUTHOR]

Rhyzopertha dominica causes significant economic losses in stored cereals. Insects' digestive tract microbiome is crucial for their development, metabolism, resistance, and digestion. This work aimed to test whether the different chemical properties of different wheat and barley grain cultivars cause disturbances in insect foraging and rearrangements of the structure of the R. dominica microbiome. The results indicated that grain cultivars significantly influence the microbiome, metabolism, and insect foraging. Most observed traits and microbiome structures were not correlated at the species level, as confirmed by ANOSIM (p = 0.441). However, the PLS-PM analysis revealed significant patterns within barley cultivars. The study found associations between C18:2 fatty acids, entomopathogenic bacteria, an impaired nitrogen cycle, lysine production of bacterial origin, and insect feeding. The antioxidant effects also showed trends towards impacting the microbiome and insect development. The findings suggest that manipulating grain chemical properties (increasing C18:2 and antioxidant levels) can influence the R. dominica microbiome, disrupting their foraging behaviours and adaptation to storage environments. This research supports the potential for breeding resistant cereals, offering an effective pest control strategy and reducing pesticide use in food production. [ABSTRACT FROM AUTHOR]

Indole-3-carbinol (I3C) is a major dietary component produced in Brassica vegetables from glucosinolates (GLS) upon herbivores' attack. The compound is gaining increasing interest due to its anticancer activity. However, reports about improving its level in plants or other sources are still rare. Unfortunately, I3C is unstable in acidic media and tends to polymerize rendering its extraction and detection challenging. This review presents a multifaceted overview of I3C regarding its natural occurrence, biosynthesis, isolation, and extraction procedure from dietary sources, and optimization for the best recovery yield. Further, an overview is presented on its metabolism and biotransformation inside the body to account for its health benefits and factors to ensure the best metabolic yield. Compile of the different analytical approaches for I3C analysis in dietary sources is presented for the first time, together with approaches for its detection and its metabolism in body fluids for proof of efficacy. Lastly, the chemopreventive effects of I3C and the underlying action mechanisms are summarized. Optimizing the yield and methods for the detection of I3C will assist for its incorporation as a nutraceutical or adjuvant in cancer treatment programs. Highlighting the complete biosynthetic pathway and factors involved in I3C production will aid for its future biotechnological production. [ABSTRACT FROM AUTHOR]

Copyright of Science & Technology of Food Industry is the property of Science & Technology of Food Industry Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Shipin Kexue/ Food Science is the property of Food Science Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Shipin Kexue/ Food Science is the property of Food Science Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Purpose: Aim of this study is to summarize medical device reports (MDRs) between 2012 and 2022 relating to ureteral stents within the Manufacturer and User Facility Device Experience (MAUDE) database maintained by The Food and Drug Administration (FDA). Methods: MAUDE was analyzed for all MDRs relating to each FDA-approved ureteral stent. Event descriptions were reviewed and characterized into specific event types. Outcome measures include specific ureteral stent and reported events as detailed by the MDRs. Data is presented as number of specific event/total events. Pooled Relative risk was used to compare data. Results: 2652 reports were retrieved in 10 years and a progressive rise in reported events was recorded. 831/2652 (31%) were reported as injury while 1810/2652 (68%) as malfunction of the ureteral stent and 4 events of death. The most frequently reported adverse events (AEs) were stent break (627/2652: 23%); material problems (384/2652: 14%); calcification (222/2652: 8%); difficulty to insert, advance or remove the device (155/2652: 6%). Bard stents were associated with most material problems (19%), Resonance stents were associated with most difficulty to insert, advance or remove the device (9%) and calcification (15%) while filiform double pigtail stent set were associated with most breakage reports (56%) when compared to the other stents (PRR > 1, p < 0,05). Conclusions: According to MAUDE database the most frequent complications related to ureteral stents are breakage, material problems, calcification and difficulty to insert/advance/remove the device. As well Resonance ureteral stents seem to be associated with a higher risk of device problems. [ABSTRACT FROM AUTHOR]

Addressing the critical need for swift and precise nutritional profiling in healthcare and in food industry, this study pioneers the integration of vision‐language models (VLMs) with chemical analysis techniques. A cutting‐edge VLM is unveiled, utilizing the expansive UMDFood‐90k database, to significantly improve the speed and accuracy of nutrient estimation processes. Demonstrating a macro‐AUCROC of 0.921 for lipid quantification, the model exhibits less than 10% variance compared to traditional chemical analyses for over 82% of the analyzed food items. This innovative approach not only accelerates nutritional screening by 36.9% when tested amongst students but also sets a new benchmark in the precision of nutritional data compilation. This research marks a substantial leap forward in food science, employing a blend of advanced computational models and chemical validation to offer a rapid, high‐throughput solution for nutritional analysis. [ABSTRACT FROM AUTHOR]

Climate change affects ecosystems at several levels: by altering the spatial distribution of individual species, by locally rewiring interspecific interactions, and by reorganizing trophic networks at larger scales. The dynamics of marine food webs are becoming more and more sensitive to spatial processes and connections in the seascape. As a case study, we study the atlantification of the Barents Sea: we compare spatio-temporal subsystems at three levels: the identity of key organisms, critically important interactions and the entire food web. Network analysis offers quantitative measurements, including centrality indices, trophic similarity indices, a topological measure of interaction asymmetry and network-level measures. We found that atlantification alters the identity of key species (boreal demersals becoming hubs), results in strongly asymmetric interactions (dominated by haddock), changes the dominant regulation regime (from bottom-up to wasp-waist control) and makes the food web less modular. Since the results of food web analysis may be quite sensitive to network construction, the aggregation of food web data was explicitly studied to increase the robustness of food web analysis. We found that an alternative, mathematical aggregation algorithm better preserves some network properties (e.g. density) of the original, unaggregated network than the biologically inspired aggregation into functional groups. This article is part of the theme issue 'Connected interactions: enriching food web research by spatial and social interactions'. [ABSTRACT FROM AUTHOR]

Background: Despite a tremendous increase in the number of orthopaedic devices authorized by the U.S. Food and Drug Administration (FDA), novel devices designed specifically for the pediatric population remain sparse. Surgeons frequently repurpose adult implants for "off-label" use in pediatric patients, with both legal and technical ramifications. This study seeks to objectively quantify and characterize the nature of pediatric device innovation over time. Methods: The FDA employs 4 pathways for assessing safety and effectiveness of novel devices prior to authorization. Perceived device risk and novelty determine the pathway. Orthopaedic devices were identified from the FDA's online database. All devices approved since inception via the Humanitarian Device Exemption, Pre-Market Approval, and De Novo regulatory pathways were included and grouped as "highly innovative." Because of their number and the rapidity of their development, the evaluation of 510(k) devices was limited to those cleared from January 1, 2018, to December 31, 2022. Such 510(k) devices make up ;97% of devices and by definition are less risky and less novel. Approval statements were assessed for pediatric indications within the approved labeling. As a secondary analysis, the impact of company size on developing a product with a pediatric indication was analyzed. Results: Of the 1,925 devices cleared via the 510(k) pathway, 9 (0.5%) were designed exclusively for pediatrics and 160 (8.3%) included pediatric indications. Five of the 9 pediatrics-only devices were for spine and 4 were for trauma indications. Of the 97 highly innovative devices, only 2 (2%) were exclusively pediatric and another 2 (2%) included pediatric indications. The 2 pediatrics-only devices were for the spine. Large and medium-sized companies were 1.9 times and 1.6 times more likely to bring to market a device with pediatric indications than a small company, respectively. Conclusions: Innovation for pediatric orthopaedic devices lags substantially behind that for adult orthopaedic devices. These findings are consistent with clinical experience and the common practice of modifying adult implants for "off-label" use in pediatric patients. Despite long-standing efforts to stimulate innovation for this vulnerable population, our results suggest little progress. [ABSTRACT FROM AUTHOR]

AbstractMethiocarb is a carbamate pesticide and is widely used due to its short lifetime but is a health concern due to its toxicity. To address this challenge, a novel nano-sorbent (zinc aluminate hybrid doped onto a magnetic activated carbon cloth (magnetic ACC@ZnAl2O4)) was synthesized. The characterization of the composite was done using FTIR spectroscopy, SEM, XRD, and EDX. The synthesized composite was then employed for the efficient extraction of methiocarb from food samples. Under the optimum conditions of (pH: 7.0, vortex time: 0.5 min, adsorbent dose: 5 mg, initial volume of sample: 50 mL, volume of eluent: 1.0 mL), quantitative recovery values of methiocarb in food samples were obtained (80–114%). This method impresses with its exceptional sensitivity, achieving incredibly low detection (LOD: 20 µg L−1) and quantification (LOQ: 67 µg L−1) limits for methiocarb. Its efficiency is equally impressive, with high values of preconcentration factor (PF: 50) and enhancement factor (EF: 49.4), ensuring accurate and reliable analysis with a low value of relative standard deviation (RSD: 4.8%). The method’s impressive selectivity, evident in its minimal interference from other pesticides, paves the way for reliable methiocarb analysis in food samples. [ABSTRACT FROM AUTHOR]

An analytical method based on high‐performance liquid chromatography (HPLC) method was developed for the determination of β‐hydroxy‐β‐methylbutyrate (HMB) content in food raw materials. The quantitative detection was performed by HPLC on diode array detector mode under external standard method. The limits of quantification, calculated as 10 times the standard deviation, were 2.0 g/100 g. The average recoveries were in the range of 92.3%–101%, with relative standard deviations below 3.87%, measured at three concentration levels. This method was used to determine the purity of HMB in 10 commercially available food raw materials. The real sample analysis results showed that the content and measurement uncertainties of HMB were 77.1–81.8 g/100 g and 4.51–4.68 g/100 g respectively, which met the requirement of HMB content in the range of 77–82 g/100 g in the HMB announcement. There are no studies on the detection of HMB in food raw materials in the previous reports. The established method provided reference for the rapid quantification and purity analysis of β‐hydroxy‐β‐methylbutyrate in food raw materials. [ABSTRACT FROM AUTHOR]

Near infrared spectroscopy (NIRS) is an analytical technique that offers a real advantage over laboratory analysis in the food industry due to its low operating costs, rapid analysis, and non‐destructive sampling technique. Numerous studies have shown the relevance of NIR spectra analysis for assessing certain food properties with the right calibration. This makes it useful in quality control and in the continuous monitoring of food processing. However, the NIR calibration process is difficult and time‐consuming. Analysis methods and techniques vary according to the configuration of the NIR instrument, the sample to be analyzed and the attribute that is to be predicted. This makes calibration a challenge for many manufacturers. This paper aims to provide a data‐driven methodology for developing a decision support tool based on the smart selection of NIRS wavelength to assess various food properties. The decision support tool based on the methodology has been evaluated on samples of cocoa beans, grains of wheat and mangoes. Promising results were obtained for each of the selected models for the moisture and fat content of cocoa beans (R2cv: 0.90, R2test: 0.93, RMSEP: 0.354%; R2cv: 0.73, R2test: 0.79, RMSEP: 0.913%), acidity and vitamin C content of mangoes (R2cv: 0.93, R2test: 0.97, RMSEP: 17.40%; R2cv: 0.66, R2test: 0.46, RMSEP: 0.848%), and protein content of wheat—DS2 (R2cv: 0.90, R2test:0.92, RMSEP: 0.490%) respectively. Moreover, the proposed approach allows results to be obtained that are better than benchmarks for the moisture and protein content of wheat—DS1 (R2cv: 0.90, R2test: 94, RMSEP: 0.337%; R2cv: 0.99, R2test: 0.99, RMSEP: 0.177%), respectively. Practical Application: This research introduces a practical tool aimed at determining the quality of food by identifying specific light wavelengths. However, it is important to acknowledge potential challenges, such as overfitting. Before implementation, it is crucial for further research to address and mitigate the issues to ensure the reliability and accuracy of the solution. If successfully applied, this tool could significantly enhance the accuracy of near‐infrared spectroscopy in assessing food quality attributes. This advancement would provide invaluable support for decision‐making in industries involved in food production, ultimately leading to better overall product quality for consumers. [ABSTRACT FROM AUTHOR]

Food-neophobia is referred to as the reluctance to try unknown foods. This paper aims to demonstrate the relationships between street food experience, food destination image, food-neophobia, corona-phobia, and post-travel behaviors (e.g., intention to revisit and word-of-mouth) of international tourists visiting Istanbul, Türkiye. Based on the 210 valid questionnaires, Smart-PLS was applied to empirically test a structural equation model using PLS-Henseler's multi-group analysis. The results demonstrated relationships between the effects of street food experience and food neophobia on tourists' post-travel behaviors in terms of mediating effect of destination image and the moderating effect of corona-phobia. The result also showcased the moderated mediation role of corona-phobia in mediating role of food destination image between street food experience, revisit intention, and word-of-mouth. Despite existing generic tourists' street food studies and the popularity of COVID-19-related studies in the destination-marketing context, there have been limited attempts to explore the consequences (e.g., tourists' post-travel behavior) of the tourists' street food experience with the possible psychological relationships (i.e., food destination image and food-neophobia) during the pandemic. Therefore, this is one of the first attempts to troubleshoot to fill this omitted gap. Several practical implications with suggestions for further studies were also discussed. [ABSTRACT FROM AUTHOR]

3D-printing technology allows scientist to fabricate easily electrochemical sensors. Until now, these sensors were designed employing a large amount of material, which increases the cost and decreases manufacturing throughput. In this work, a low-cost 3D-printed on-drop electrochemical sensor (3D-PES) was fully manufactured by fused filament fabrication, minimizing the number of printing layers. Carbon black/polylactic acid filament was employed, and the design and several printing parameters were optimized to yield the maximum electroanalytical performance using the minimal amount of material. Print speed and extrusion width showed a critical influence on the electroanalytical performance of 3D-PES. Under optimized conditions, the fabrication procedure offered excellent reproducibility (RSD 1.3% in working electrode diameter), speed (< 3 min/unit), and costs (< 0.01 $ in material cost). The 3D-PES was successfully applied to the determination of phloridzin in apple juice. The analytical performance of 3D-PES was compared with an equivalent commercial on-drop screen-printed electrode, yielding similar precision and accuracy but lower sensitivity. However, 3D-PES provides interesting features such as recyclability, biodegradability, low-cost, and the possibility of being manufactured near the point of need, some of which meets several demands of Green Chemistry. This cost-effective printing approach is a green and promising alternative for manufacturing disposable and portable electroanalytical devices, opening new possibilities not only in on-site food analysis but also in point-of-care testing. [ABSTRACT FROM AUTHOR]

The growing production and use of plastics significantly contribute to microplastics (MPs) contamination in the environment. Humans are exposed to MPs primarily through the gastrointestinal route, as these particles are present in beverages and food, e.g., sugar. Effective isolation and identification of MPs from food is essential for their elimination. This study aimed to evaluate factors influencing the isolation of MPs from sucrose solutions to determine optimal conditions for the process. Polyethylene particles were used to test separation methods involving chemical digestion with acids and filtration through membrane filters made of nylon, mixed cellulose ester, and cellulose acetate with pore sizes of 0.8 and 10 µm. The effects of temperature and acid type and its concentration on plastic particles were examined using scanning electron microscopy and µ-Raman spectroscopy. The results indicate that increased temperature reduces solution viscosity and sucrose adherence to MPs' particles, while higher acid concentrations accelerate sucrose hydrolysis. The optimal conditions for MPs' isolation were found to be 5% HCl at 70 °C for 5 min, followed by filtration using an efficient membrane system. These conditions ensure a high recovery and fast filtration without altering MPs' surface properties, providing a reliable basis for further analysis of MPs in food. [ABSTRACT FROM AUTHOR]

In 1998, Health Canada mandated folic acid fortification of white flour and enriched grain products to prevent neural tube defects. At the time, neither the Canadian Nutrient File (CNF) nor product labels reflected the actual folate content of foods. We aimed to assess if 20 years post-fortification, the CNF values for total folate and synthetic folic acid accurately reflect amounts determined by direct analysis. Using the 2001 Food Expenditure Survey and ACNielsen Company data, we identified 10–15 of the most purchased fortified foods across seven food categories in Canada. Total folate concentrations were determined by tri-enzyme digestion and microbial assay. Folic acid concentrations were determined using liquid chromatography-tandem mass spectrometry. Except for "cooked pastas", mean total folate content of foods (n = 89) were significantly higher than CNF values across categories (p < 0.05), reflecting 167% ± 54% of CNF values. Similarly, mean folic acid content of foods was higher than CNF values for all categories except "cooked pastas" (p < 0.05), with a mean of 188% ± 94% of CNF values; the latter CNF values included uncooked pasta. In sum, 20 years post-fortification, and 10 years since the last direct measurement, CNF and product label values still underestimate actual total folate and the folic acid content of foods. These findings emphasize that dietary estimates established using the CNF may significantly underestimate actual intakes and thus caution should be exercised when interpreting estimates of nutritional adequacy based on these values. [ABSTRACT FROM AUTHOR]

Summary: The existing literature on resistant starch analysis in Australian foods has predominantly relied on older testing methods. Thus, our study aimed to address this gap by assessing the resistant starch content of selected Australian foods using the validated Association of Analytical Chemists 2002.02 testing method. Forty commonly consumed and available foods were tested in duplicate. The resistant starch content of foods varied from 0 to 13.72 g/100 g. Foods with the highest resistant starch were Hi‐maize flour pancakes, red kidney beans, Lebanese bread, and Cornflakes cereal, which ranged from 2.30 to 13.72 g/100 g, respectively. The lowest resistant starch foods included beetroot, rice crackers, All Bran cereal, and Nutri‐grain cereal, which ranged from 0 to 0.04 g/100 g, respectively. This is the first known Australian study to evaluate the resistant starch content of foods using the AOAC 2002.02 method. This data can be used to assess resistant starch consumption in the Australian population, inform gut microbiome research, and guide clinical practice recommendations for fibre intake. [ABSTRACT FROM AUTHOR]

Nusinersen is the first drug for precise targeted therapy of spinal muscular atrophy, a rare disease that occurs in one of 10,000 to 20,000 live births. Therefore, thorough and comprehensive reports on the safety of nusinersen in large, real-world populations are necessary. This study aimed to mine the adverse event (AE) signals related to nusinersen through the Food and Drug Administration Adverse Event Reporting System (FAERS) database. We extracted reports of AEs with nusinersen as the primary suspect from FAERS between December 2016 and March 2023. Reporting odds ratio (ROR) and Bayesian confidence propagation neural network (BCPNN) were used for AE signal detection. We extracted a total of 4807 suspected AE cases with nusinersen as the primary suspect from the FAERS database. Among them, 106 positive signals were obtained using the ROR and BCPNN. The highest frequency reported systemic organ class was general disorders and administration site conditions. Common clinical AEs of nusinersen were detected in the FAERS database, such as pneumonia, vomiting, back pain, headache, pyrexia, and post–lumbar puncture syndrome. In addition, we identified potential unexpected serious AEs through disproportionality analysis, including sepsis, seizure, epilepsy, brain injury, cardiorespiratory arrest, and cardiac arrest. Analyzing large amounts of real-world data from the FAERS database, we identified potential new AEs of nusinersen by disproportionate analysis. It is advantageous for health care professionals and pharmacists to concentrate on effectively managing high-risk AEs of nusinersen, improve medication levels in clinical settings, and uphold patient medication safety. [ABSTRACT FROM AUTHOR]

Lebanon's agricultural sector, known for its diverse crop and livestock production, faces challenges in the international market due to the presence of chemical residues and contaminants in its food exports. Recent rejections of these exports have raised global concerns about food safety, increasingly seen as vital for public health and economic prosperity. This review focuses on examining scientific studies about the levels of various chemical residues including pesticides, and veterinary drugs and contaminants like mycotoxins, and polycyclic aromatic hydrocarbons, and heavy metals in Lebanese food products. Findings indicate that these residues and contaminants often exceed both the maximum residue limits (MRLs) and maximum limits (MLs) set by the Codex Alimentarius and the European Union. The review concludes with recommendations for reducing these contaminants and residues to enhance Lebanon's food safety and quality, aligning with international standards, and mitigating the risk of export rejections. [ABSTRACT FROM AUTHOR]

In food analysis, conventional one‐dimensional liquid chromatography methods sometimes lack sufficient separation power due to the complexity and heterogeneity of the analyzed matrices. Therefore, the use of two‐dimensional liquid chromatography (2D‐LC) turns out to be a powerful tool to consider, especially when coupled to mass spectrometry (MS). This review presents the most remarkable 2D‐LC–MS food applications reported in the last 10 years, including a critical discussion of the multiple approaches, modulation strategies as well as the importance of the optimization of the different analytical aspects that will condition the 2D‐LC–MS performance. The presence of contaminants in food (food safety), the food quality, and authenticity or the relationship between the beneficial effects of food and human health are some of the fields in which most of the 2D‐LC–MS applications are mainly focused. Both heart‐cutting and comprehensive applications are described and discussed in this review, highlighting the potential of 2D‐LC–MS for the analysis of such complex samples. [ABSTRACT FROM AUTHOR]

The European Union lacks comprehensive legislation pertaining to food supplements containing botanical or bioactive substances other than nutrients, resulting in disparate regulatory frameworks among European Member States. Previous studies predominantly focused on the doctrinal analysis of these diverse regulations at both European and national levels, offering limited insights into their practical implementation by governing bodies. This research endeavours to scrutinize administrative practices governing legislation on food supplements featuring botanical or other bioactive constituents, which are subject to varying approaches across Member States. Employing a combination of doctrinal and empirical legal research methodologies, this approach involved a meticulous examination of the regulatory landscape governing food supplements at both EU and Member State levels. Simultaneously, an empirical investigation, conducted through expert interviews, aimed to elucidate whether discrepancies among national legal systems translate into discernible variations in the operational strategies of competent authorities. Additionally, this empirical inquiry shed light on the efficacy of specific EU directives aimed at harmonizing food supplement regulations at the national level. These findings delineate a fragmented regulatory environment for botanical and bioactive food supplements across Member States. Noteworthy disparities were observed not only in national legislative frameworks but also in the enforcement practices of regulatory authorities. Union-level governance efforts in particular by adopting a mutual recognition approach to mitigate fragmentation proved ineffective. Consequently, this research underscores an urgent imperative to expedite the harmonization of regulations governing botanicals and other bioactive substances present in food supplements across the European Union. [ABSTRACT FROM AUTHOR]

With the improvement of food safety requirements, rapid, nondestructive, accurate, and high-throughput determination of volatile ingredients plays an important role in the analysis area. Owing to the advantages of high separation efficiency, high sensitivity, no sample pretreatment requirement, and fast response, gas chromatography–ion mobility spectrometry (GC–IMS) is important in the nondestructive and rapid detection of volatile organic compounds in the fields of biology, pathology, and food science. In the end, current GC–IMS applications in food safety control and quality analysis are systematically reviewed based on developments in working principles, experimental processes, and methods in cheminformatics and bioinformatics. In addition, the latest developments and advances, practical challenges and limitations, and requirements for GC–IMS applications are also critically discussed, providing new insights into GC–IMS application in food science. [ABSTRACT FROM AUTHOR]

Hydrothermal processing of gluten-free flours has been shown to enhance their functional and baking properties. Process variables such as temperature, moisture and treatment time conditions were optimised in relation to quality characteristics of acha flour and using a three-variable Box–Behnken design based on response surface methodology. The derived optimal heat-moisture treatment conditions for acha flour were 80 °C, 25% moisture and 17 min, and their effect on proximate and functional properties of acha flour was studied. It was revealed that optimal heat-moisture treatment had minimal impact on the proximate compositions of acha flour but increase water and oil absorption capacities (135% and 90%), swelling power (32%), peak viscosity (8%), pasting temperature (6%) and decreased solubility (9%), breakdown viscosity (9%), setback viscosity (42%) and bulk density (22%). Optimal modified acha flour or was blended with wheat flour at ratios 10:90, 20:80 and 30:70 and utilised in production of bread, and their physical properties and sensory acceptability were studied in relation to their native counterparts and 100% wheat flour. It was revealed that acha flour-wheat flour breads containing optimal heat-moisture treated flours had higher specific volumes and consumer acceptability scores, and more open crumb structures than those of their native acha counterparts regardless of inclusion level. Ratio 10:90 of optimal heat-moisture treated flour and wheat flour produced bread with properties closest to 100% wheat flour bread. Thus, the derived optimal heat-moisture treatment conditions were successful in enhancing the functional and baking properties of acha. Findings from this study will be of relevance to the flour mills and the baking industry as well as will enhance knowledge on the baking prospects of hydrothermal treatment and acha flour properties. [ABSTRACT FROM AUTHOR]

Milk has a high nutritional value and is also one of the most versatile products in the food industry. Unfortunately, fraud involving the product is constant and needs to be combated. This work presents a measurement methodology to perform the electrical impedance analysis in food. The influence of temperature on the measurements has been evaluated through mathematical models specially developed for identifying the fraudulent activity of adding water to milk. The bioimpedance measurements have been performed in a sample container with a four-electrode measurement system and a digital oscilloscope. Samples of 150 mL were analysed, prepared using whole UHT milk adulterated with distilled water in different % by volume (V/V), at temperatures of 16, 28, and 37 °C. The proposed measurement methodology has been validated and showed sensitivity for analysis in milk, revealing the influence of temperature on the impedance values; from the results mathematical models were proposed for investigating adulteration in milk. This work deals with the design of a device capable of measuring bioimpedance in milk with a view to its application in physicochemical analyses. The influence of temperature on the impedance values was also evaluated to propose mathematical models to facilitate analysis with complex factors and matrices. [ABSTRACT FROM AUTHOR]