bluuebunny/crossref_metadata_2025 huggingface dataset:
Comparison of On-Sky Wavelength Calibration Methods for Integral Field Spectrograph
Authors: Song Jie , Ren Baichuan , Tang Yuyu , Wei Jun , Huang Xiaoxian
Published: October 2024

With advancements in technology, scientists are delving deeper in their explorations of the universe. Integral field spectrograph (IFS) play a significant role in investigating the physical properties of supermassive black holes at the centers of galaxies, the nuclei of galaxies, and the star formation processes within galaxies, including under extreme conditions such as those present in galaxy mergers, ultra-low-metallicity galaxies, and star-forming galaxies with strong feedback. IFS transform the spatial field into a linear field using an image slicer and obtain the spectra of targets in each spatial resolution element through a grating. Through scientific processing, two-dimensional images for each target band can be obtained. IFS use concave gratings as dispersion systems to decompose the polychromatic light emitted by celestial bodies into monochromatic light, arranged linearly according to wavelength. In this experiment, the working environment of a star was simulated in the laboratory to facilitate the wavelength calibration of the space integral field spectrometer. Tools necessary for the calibration process were also explored. A mercury–argon lamp was employed as the light source to extract characteristic information from each pixel in the detector, facilitating the wavelength calibration of the spatial IFS. The optimal peak-finding method was selected by contrasting the center of weight, polynomial fitting, and Gaussian fitting methods. Ultimately, employing the 4FFT-LMG algorithm to fit Gaussian curves enabled the determination of the spectral peak positions, yielding wavelength calibration coefficients for a spatial IFS within the range of 360 nm to 600 nm. The correlation of the fitting results between the detector pixel positions and corresponding wavelengths was >99.99%. The calibration accuracy during wavelength calibration was 0.0067 nm, reaching a very high level.
An Improved Nonnegative Matrix Factorization Algorithm Combined with K-Means for Audio Noise Reduction
Authors: Liu Yan , Zhu Haozhen , Cui Yongtuo , Yu Xiaoyu , Wu Haibin , Wang Aili
Published: October 2024

Clustering algorithms have the characteristics of being simple and efficient and can complete calculations without a large number of datasets, making them suitable for application in noise reduction processing for audio module mass production testing. In order to solve the problems of the NMF algorithm easily getting stuck in local optimal solutions and difficult feature signal extraction, an improved NMF audio denoising algorithm combined with K-means initialization was designed. Firstly, the Euclidean distance formula of K-means has been improved to extract audio signal features from multiple dimensions. Combined with the initialization strategy of K-means decomposition, the initialization dictionary matrix of the NMF algorithm has been optimized to avoid getting stuck in local optimal solutions and effectively improve the robustness of the algorithm. Secondly, in the sparse coding part of the NMF algorithm, feature extraction expressions are added to solve the problem of noise residue and partial spectral signal loss in audio signals during the operation process. At the same time, the size of the coefficient matrix is limited to reduce operation time and improve the accuracy of feature extraction in high-precision audio signals. Then, comparative experiments were conducted using the NOIZEUS and NOISEX-92 datasets, as well as random noise audio signals. This algorithm improved the signal-to-noise ratio by 10–20 dB and reduced harmonic distortion by approximately −10 dB. Finally, a high-precision audio acquisition unit based on FPGA was designed, and practical applications have shown that it can effectively improve the signal-to-noise ratio of audio signals and reduce harmonic distortion.
Quantum-Inspired Fusion for Open-Domain Question Answering
Authors: Duan Ruixue , Liu Xin , Ding Zhigang , Zhang Yangsen
Published: October 2024

Open-domain question-answering systems need models capable of referencing multiple passages simultaneously to generate accurate answers. The Rational Fusion-in-Decoder (RFiD) model focuses on differentiating between causal relationships and spurious features by utilizing the encoders of the Fusion-in-Decoder model. However, RFiD reliance on partial token information limits its ability to determine whether the corresponding passage is a rationale for the question, potentially leading to inappropriate answers. To address this issue, we propose a Quantum-Inspired Fusion-in-Decoder (QFiD) model. Our approach introduces a Quantum Fusion Module (QFM) that maps single-dimensional into multi-dimensional hidden states, enabling the model to capture more comprehensive token information. Then, the classical mixture method from quantum information theory is used to fuse all information. Based on the fused information, the model can accurately predict the relationship between the question and passage. Experimental results on two prominent ODQA datasets, Natural Questions and TriviaQA, demonstrate that QFiD outperforms the strong baselines in automatic evaluations.
Explainable Quantum Neural Networks: Example-Based and Feature-Based Methods
Authors: Tian Jinkai , Yang Wenjing
Published: October 2024

Quantum neural networks (QNNs) are gaining attention for their potential, but their lack of interpretability remains a barrier to wider adoption. In this paper, we adapt and extend explainability techniques commonly used in classical neural networks to the quantum domain, making QNNs more transparent and interpretable. By applying both feature-based and example-based methods, we provide a comprehensive analysis of how QNNs generate predictions. Our results demonstrate that these adapted techniques offer valuable insights into the internal mechanisms of QNNs, paving the way for more reliable and trustworthy quantum machine learning models. This work contributes to improving the explainability of QNNs, enhancing their applicability in complex, real-world scenarios.
A Wearable Solution of Muscle Atrophy Assessment: Oriented Toward Upper Limb Rehabilitation
Authors: Wang Qin , Wang Daomiao , Yang Cuiwei , Huang Xiaonan , Fang Fanfu , Song Zilong , Xiang Wei
Published: October 2024

In the process of the upper limb rehabilitation, the rehabilitation effect is often evaluated from the perspective of the motor function of limbs. However, the state of muscle atrophy is also a noteworthy indicator reflecting the rehabilitation effect. We proposed a wearable solution for the monitoring and grade assessing of local muscle atrophy based on wearable bioimpedance (BioZ) sensors. This work elaborates on the theoretical basis, procedure, and key influencing factors of the proposed solution, and the feasibility and effectiveness have been verified through in vitro and in vivo experiments. A total of 25 phantoms in different CSA (cross-sectional area) and FMR (fat-to-muscle ratio) values were designed to simulate different stages of muscular atrophy, and a linear correlation was observed between BioZ, CSA, and FMR, with an R-squared value of 0.898. The relative impedance difference of 38 patients with unilateral muscle atrophy was 5.231% larger than that of 30 healthy control samples on average (p< 0.05). These results demonstrate the correlation between muscle atrophy and BioZ. As the proof-of-concept for graded assessment, the results analyzed by support vector machines (SVMs) show that the accuracy of three-level classification can reach 94.1% using the five-fold cross-validation.
A Review of Semantic Segmentation and Instance Segmentation Techniques in Forestry Using LiDAR and Imagery Data
Authors: Wołk Krzysztof , Tatara Marek S.
Published: October 2024

The objective of this review is to conduct a critical analysis of the current literature pertaining to segmentation techniques and provide a methodical summary of their impact on forestry-related activities, emphasizing their applications using LiDAR and imagery data. This review covers the challenges, progress, and application of these strategies in ecological monitoring, forest inventory, and tree species classification. Through the process of synthesizing pivotal discoveries from multiple studies, this comprehensive analysis provides valuable perspectives on the present status of research and highlights prospective areas for further exploration. The primary topics addressed encompass the approach employed for executing the examination, the fundamental discoveries associated with semantic segmentation and instance segmentation in the domain of forestry, and the ramifications of these discoveries for the discipline. This review highlights the effectiveness of semantic and instance segmentation techniques in forestry applications, such as precise tree species identification and individual tree monitoring. However, challenges such as occlusions, overlapping branches, and varying data quality remain. Future research should focus on overcoming these obstacles to enhance the precision and applicability of these segmentation methodologies.
A Review of Research on Information Traceability Based on Blockchain Technology
Authors: Jia Leigang , Shao Bilin , Yang Chen , Bian Genqing
Published: October 2024

Blockchain technology, as an emerging distributed ledger technology, has gradually shown great potential in the field of information traceability due to its characteristics of decentralization, non-tamperability, and transparency. Through blockchain technology, the production, circulation, and consumption of products can be recorded and verified to ensure the authenticity and credibility of the data. This article reviews the application of blockchain in information traceability, focusing on analyzing its practice and effects in food safety, drug traceability, supply chain management, and energy industry traceability. Through a systematic review of existing literature, this article summarizes the research status, main results, and technical challenges of blockchain information traceability, points out its significant advantages in improving transparency and trust, and also discusses the implementation complexity, limitations in terms of cost, and performance. Finally, this article proposes future development trends, including multi-chain integration and the combination of blockchain with other technologies. The research in this article provides important reference and guidance for the further development of blockchain technology in information traceability.
Power Oscillation Source Location Based on the Combination of Energy Function and Normal Distribution in a Fully Data-Driven Approach
Authors: Guo Shujia , Liu Xu , Jiang Chao , Cong Jing
Published: October 2024

With the deepening of national efforts toward green energy transformation, the power system is evolving into one characterized by “double high”—a high proportion of new energy integration and a high level of power electronic systems. This results in a more complex system topology, necessitating improvements in various prevention and control measures. Traditional model-based methods for locating power oscillation disturbance sources in power systems are no longer sufficient to meet the operational demands of modern power systems. With the rapid development of wide-area measurement systems (WAMS), there is growing interest in disturbance source localization using system response data. System dynamics provide a wealth of easily extractable data that can accurately reflect the power system’s behavior under normal conditions. This paper proposes a numerical method for locating disturbance sources, combining energy functions with normal distribution identification, based on power oscillation mechanisms and system response data. The method identifies potential disturbance sources, including small random load fluctuations and large forced power oscillations. The innovation lies in the introduction of a 3 Sigma value criterion to pinpoint the disturbance source location, addressing the limitations of traditional energy function methods that require manual intervention. By quantifying the localization of power oscillation disturbance sources, this method significantly improves both efficiency and accuracy.
Ectomycorrhizal Community of Norway Spruce Stands with Different Degrees of Tree Decline
Authors: Milović Marina , Kovačević Branislav , Orlović Saša , Galić Zoran , Drekić Milan , Pekeč Saša , Matović Bratislav
Published: October 2024

Dieback and decline of Norway spruce (Picea abies (L.) Karst.) tree stands on Mtn. Kopaonik are caused by a combination of abiotic and biotic factors. Ectomycorrhizal (ECM) fungi have stabilizing effects on forest trees that are under environmental stress. The aim of our study was to analyze the differences between ECM fungal communities, the number of fine roots, and the abundance of exploration types (ETs) in differently declined Norway spruce stands on Mtn. Kopaonik (Serbia). Three sites were selected: one with no tree decline recorded; one with a moderate decline of trees; and one with a massive decline of trees. Different degrees of tree decline in the studied spruce stands did not affect the number of ECM taxa, the diversity indices, or the percentage of vital fine roots. However, the number of old, non-turgescent, and nonmycorrhizal roots was higher in the spruce stands with tree decline. The ECM community composition differed between the studied sites, but the sites with tree decline had more ECM taxa in common. The ECM taxa of a long-distance ET were significantly more abundant in the spruce stands affected by tree decline.
Impact of Inoculation with Pediococcus pentosaceus in Combination with Chitinase on Bale Core Temperature, Nutrient Composition, Microbial Ecology, and Ruminal Digestion of High-Moisture Alfalfa Hay
Authors: Nair Jayakrishnan , Jin Long , Chevaux Eric , McAllister Tim A. , Wang Yuxi
Published: October 2024

This study evaluated the effects of Pediococcus pentosaceus (PP) and chitinase combinations on the conservation and nutritive value of alfalfa high-moisture hay (HMH). P. pentosaceus [1012 colony forming unit/g fresh forage] combined with (g/tonne of fresh forage) 1.5 (PP + LC), 7.5 (PP + MC), or 15.0 (PP + HC) g of LANiHay01 chitinase (Exp. 1) or with LANiHay02 (PP + Fe; 1.5 g), LANiHay01 (PP + Pe; 1.5 g), or Sigma (PP + Si; 55 mg) chitinase/tonne (Exp. 2) were used in 2016. In 2017, PP was applied alone or in combination with LANiHay01 at 1.5 g (PP + LC) or 7.5 g (PP + MC) chitinase/tonne (Exp. 3 and 4). Deionized water and propionic acid (4.0 L/tonne of fresh forage in Exp. 1 and 2 and at 6.0 L/tonne of fresh forage in Exp. 3 and 4) were applied as neutral (CON) and positive control (CON+), respectively. The maximum temperature (r2 = 0.66) and NH3-N concentration (r2 = 0.80) of the HMH were positively related to total microbial populations. PP + MC had lower (p ≤ 0.05) yeast and mold counts than CON in Exp. 3 and 4 while the neutral detergent fiber degradability was greater (p < 0.01) for PP + MC and PP + LC than CON in Exp. 1 and 3, respectively. P. pentosaceus in combination with chitinase has the potential in conserving the nutrient quality of alfalfa HMH.
New Perspectives on Lactic Acid Production from Renewable Agro-Industrial Wastes
Authors: Zhang Bin , Bao Jie
Published: October 2024

Since its initial discovery in sour milk by Swedish chemist C [...]
Dynamic Analysis of Fermentation Quality, Microbial Community, and Metabolome in the Whole Plant Soybean Silage
Authors: Meng He , Jiang Yan , Wang Lin , Li Yuanming , Wang Sui , Tong Xiaohong , Wang Shaodong
Published: October 2024

Soybean (Glycine max (L.) Merr.) is an important oilseed crop, known for its rich nutritional content and high-quality protein. To address the shortage of feed protein resources and better utilize soybeans as a raw material, this study investigated the feasibility of using whole-plant soybean (WPS) as silage. As the ensiling period is a critical fermentation parameter, identifying the optimal fermentation duration was a key objective. The research involves fermenting WPS for silage production, conducted over five fermentation durations: 7, 15, 30, 60, and 90 days. The fermentation quality, microbial community, and metabolome of WPS silage were analyzed across these different time points. WPS silage fermented for 30 days exhibited optimal fermentation characteristics, with the highest lactic acid (LA) content observed at 30 days (p < 0.05), while butyric acid (BA) was detected only at 60 and 90 days. At 30 days, Enterococcus genera reached its peak relative abundance and was identified as the dominant genus. Random forest analysis highlighted Pantoea genera as the most influential biomarker. Metabolomic analysis revealed that the metabolic pathways involved in the biosynthesis of essential amino acids valine, leucine, and isoleucine were significantly enhanced during the later stages of fermentation compared to the earlier stages. Under natural fermentation conditions, the optimal fermentation period for WPS silage is approximately 30 days. These findings provide a theoretical basis for the utilization of WPS and the subsequent optimization of fermentation quality.
Collision Avoidance Adaptive Data Rate Algorithm for LoRaWAN
Authors: Kufakunesu Rachel , Hancke Gerhard P. , Abu-Mahfouz Adnan M.
Published: October 2024

Long-Range Wide-Area Network (LoRaWAN) technology offers efficient connectivity for numerous end devices over a wide coverage area in the Internet of Things (IoT) network, enabling the exchange of data over the Internet between even the most minor Internet-connected devices and systems. One of LoRaWAN’s hallmark features is the Adaptive Data Rate (ADR) algorithm. ADR is a resource allocation function which dynamically adjusts the network’s data rate, airtime, and energy dissipation to optimise its performance. The allocation of spreading factors plays a critical function in defining the throughput of the end device and its robustness to interference. However, in practical deployments, LoRaWAN networks experience considerable interference, severely affecting the packet delivery ratio, energy utilisation, and general network performance. To address this, we present a novel ADR framework, SSFIR-ADR, which utilises randomised spreading factor allocation to minimise energy consumption and packet collisions while maintaining optimal network performance. We implement a LoRa network composed of a single gateway that connects loads of end nodes to a network server. In terms of energy use, packet delivery rate, and interference rate (IR), our simulation implementation does better than LoRaWAN’s legacy ADR scheme for a range of application data intervals.
Correction: Vasilas et al. Beat the Heat: Syscall Attack Detection via Thermal Side Channel. Future Internet 2024, 16, 301
Authors: Vasilas Teodora , Bacila Claudiu , Brad Remus
Published: October 2024

In the original publication [...]
Growth, Productivity and Nutrient Uptake Rates of Ulva lactuca and Devaleraea mollis Co-Cultured with Atractoscion nobilis in a Land-Based Seawater Flow-Through Cascade IMTA System
Authors: Huo Yuanzi , Elliott Matthew S. , Drawbridge Mark
Published: October 2024

To advance environmentally friendly technologies in the aquaculture of Atractoscion nobilis, and simultaneously to diversify seafood production, a 79-day trial was conducted to assess the performance of Ulva lactuca and Devaleraea mollis cultured in the effluent from A. nobilis in a land-based integrated multi-trophic aquaculture (IMTA) system in southern California, USA. Water quality and performance of macroalgae were measured weekly. The impacted factors on the growth of macroalgae and nutrient uptake rate of macroalgae were assessed. The specific growth rate of juvenile A. nobilis was 0.47–0.52%/d. Total ammonia nitrogen in effluents of A. nobilis tanks ranged from 0.03 to 0.19 mg/L. Ulva lactuca and D. mollis achieved an average productivity of 24.53 and 14.40 g dry weight (DW)/m2/d. The average nitrogen content was 3.48 and 4.89% DW, and accordingly, the average nitrogen uptake rate was 0.88 and 0.71 g/m2/d, respectively. Temperature and nutrient concentration were key factors impacting macroalgae growth, and light intensity also impacted the growth of D. mollis. The high protein content of U. lactuca and D. mollis would make them good for use as human or animal food, or for use in other industries. Research on the interaction effects between seawater exchange rates and aeration rates on the performance and nutrient uptake rates of macroalgae will be conducted in future studies.
Numerical Simulations of Impact River Morphology Evolution Mechanism Under the Influence of Floodplain Vegetation
Authors: Xiang Heng , Zhang Zhimeng , Ji Chunning , Xu Dong , Chen Xincong , Tang Lian , Wang Yuelei
Published: October 2024

Shallow floodplains play a crucial role in river basins by providing essential ecological, hydrological, and geomorphic functions. During floods, intricate hydrodynamic conditions arise as flow exits and re-enters the river channel, interacting with the shallow vegetation. The influence and mechanism of shoal vegetation on channel hydrodynamics, bed topography, and sediment transport remain poorly understood. This study employs numerical simulations to address this gap, focusing on the Xiaolangdi–Taochengpu river section downstream of the Yellow River. Sinusoidal-derived curves are applied to represent the meandering river channel to simulate the river’s evolutionary process at a true scale. The study simulated the conditions of bare and vegetated shallow areas using rigid water-supported vegetation with the same diameter but varying spacing. The riverbed substrate was composed of non-cohesive sand and gravel. The analysis examined alterations in in-channel sediments, bed morphology, and bed heterogeneity in relation to variations in vegetation density. Findings indicated a positive correlation between vegetation density and bed heterogeneity, implying that the ecological complexity of river habitats can be enhanced under natural hydrological conditions in shallow plain vegetation and riparian diffuse flow. Therefore, for biological river restoration, vegetation planting in shallow plain regions can provide greater effectiveness.
Research Progress on the Mechanism of the Impact of Myofibrillar Protein Oxidation on the Flavor of Meat Products
Authors: Zhang Lingping , Yang Dongsong , Luo Ruiming , Luo Yulong , Hou Yanru
Published: October 2024

Myofibrillar proteins primarily consist of myosin, actin, myogenin, and actomyosin. These proteins form complex networks within muscle fibers and are crucial to the physical and chemical properties of meat. Additionally, myofibrillar proteins serve as significant substrates for the adsorption of volatile flavor compounds, including aldehydes, alcohols, ketones, and sulfur and nitrogen compounds, which contribute to the overall flavor profile of meat products. A series of chemical reactions occur during the processing, storage, and transportation of meat products. Oxidation is one of the most significant reactions. Oxidative modification can alter the physical and chemical properties of proteins, ultimately impacting the sensory quality of meat products, including flavor, taste, and color. In recent years, considerable attention has been focused on the effects of protein oxidation on meat quality and its regulation. This study investigates the impact of myofibrillar protein oxidation on the sensory attributes of meat products by analyzing the oxidation processes and the factors that initiate myofibrillar protein oxidation. Additionally, it explores the control of myofibrillar protein oxidation and its implications on the sensory properties of meat products, providing theoretical insights relevant to meat processing methods and quality control procedures.
A Holistic Framework for Evaluating Food Loss and Waste Due to Marketing Standards across the Entire Food Supply Chain
Authors: Kechagias Evripidis P. , Gayialis Sotiris P. , Panayiotou Nikolaos , Papadopoulos Georgios A.
Published: October 2024

This paper addresses the critical and urgent need to reduce food losses and waste (FLW) resulting from stringent marketing standards. It proposes a comprehensive and actionable framework grounded in the three pillars of sustainability—environmental, economic, and social—to effectively evaluate FLW across the entire food supply chain. The paper involves a thorough review of existing marketing standards, including research on FLW due to marketing standards, and proposes the implementation of targeted key actions within four key food sectors: fruits, vegetables, dairy, and cereals. The study provides a detailed analysis of the significant impact marketing standards have on FLW at various stages of the supply chain, including primary production, processing, retail, and consumption. By focusing on these critical points, the research underscores the necessity of addressing marketing standards to achieve meaningful reductions in FLW. The proposed framework aims to foster improved business practices and drive the development of innovative, sector-specific solutions that balance sustainability goals with economic viability. The holistic approach followed for this research lays the foundation for ensuring that the proposed framework is adaptable and practical, leading to measurable improvements in reducing FLW and promoting sustainability across the food industry.
Dual Functionality of Papaya Leaf Extracts: Anti-Coronavirus Activity and Anti-Inflammation Mechanism
Authors: Cao Yujia , Lai Kah-Man , Fu Kuo-Chang , Kuo Chien-Liang , Tan Yee-Joo , Yu Liangli (Lucy) , Huang Dejian
Published: October 2024

Papaya leaves have been used as food and traditional herbs for the treatment of cancer, diabetes, asthma, and virus infections, but the active principle has not been understood. We hypothesized that the anti-inflammatory activity could be the predominant underlying principle. To test this, we extracted papaya leaf juice with different organic solvents and found that the ethyl acetate (EA) fraction showed the most outstanding anti-inflammatory activity by suppressing the production of nitric oxide (NO, IC50 = 24.94 ± 2.4 μg/mL) and the expression of pro-inflammatory enzymes, such as inducible nitric oxide synthase (iNOS) and cyclooxygenase (COX-2), and cytokines including interleukins (IL-1β and IL-6), and a tumor necrosis factor (TNF-α) in lipopolysaccharide (LPS)-induced RAW 264.7 cells. Transcriptomic analysis and Western blot results revealed its anti-inflammatory mechanisms were through the MAPK signaling pathway by inhibiting the phosphorylation of ERK1/2, JNKs, and p38 and the prevention of the cell surface expression of TLR4. Furthermore, we discovered that the EA fraction could inhibit the replication of alpha-coronavirus (HCoV-229E) and beta-coronavirus (HCoV-OC43 and SARS-CoV-2) and might be able to prevent cytokine storms caused by the coronavirus infection. From HPLC-QTOF-MS data, we found that the predominant phytochemicals that existed in the EA fraction were quercetin and kaempferol glycosides and carpaine. Counter-intuitively, further fractionation resulted in a loss of activity, suggesting that the synergistic effect of different components in the EA fraction contribute to the overall potent activity. Taken together, our results provide preliminary evidence for papaya leaf as a potential anti-inflammatory and anti-coronavirus agent, warranting further study for its use for human health promotion.
Structural and Physicochemical Characterization of Resistant Starch from Sixteen Banana Cultivars across Three Genome Groups
Authors: Liang Minhong , Tu Shiyun , Fu Jinfeng , Wang Juan , Sheng Ou
Published: October 2024

Banana fruits are rich in starch, and unripe banana flour is considered a beneficial ingredient in the food industry because it has high levels of resistant starch, which significantly aids in promoting gut health and regulating blood sugar and lipid levels. However, the associations between banana cultivars with various genotypes cultivated globally and their resistant starch properties remain unclear. Herein, we investigated resistant starches from 16 banana cultivars covering three genome groups (ABB, AAB, and AAA) in order to reveal the differences and similarities among these cultivars. The results showed that there was a genotype-specific pattern in banana resistant starch (BRS) degradation. The AAA genome BRS exhibited a high degree of resistant starch degradation. The genotypes of the banana cultivars also impacted the granular morphology of the resistant starch. The ABB and AAB genome BRS were more conducive to forming resistant starch. The BRS samples from the three genome groups displayed either B-type or C-type structures. Even within the same genome group, the BRS samples exhibited differences in thermal and pasting properties. These findings reveal the impact of genotypes on BRS content and characteristics, providing a basis for future breeding and resistant starch utilization.
Comparative Analysis on Polyphenolic Composition of Different Olive Mill Wastewater and Related Extra Virgin Olive Oil Extracts and Evaluation of Nutraceutical Properties by Cell-Based Studies
Authors: Cuffaro Doretta , Bertolini Andrea , Silva Ana Margarida , Rodrigues Francisca , Gabbia Daniela , De Martin Sara , Saba Alessandro , Bertini Simone , Digiacomo Maria , Macchia Marco
Published: October 2024

This study reports a comparative analysis of the polyphenolic composition and nutraceutical properties of different olive mill wastewater (OMWW) and corresponding extra virgin olive oil (EVOO) extracts. Specifically, four OMWWs and corresponding EVOOs from cultivars Frantoio (A) and Leccino (B) obtained from different crushing seasons (early-stage (A1 and B1) and later-stage (A2 and B2)) were analyzed. Employing HPLC-DAD and LC-MS methods, the primary polyphenol content was identified and quantified. Overall, OMWW extracts showed a greater polyphenolic content compared to corresponding EVOO extracts, with OMWW B1 displaying the highest levels of polyphenols. The antiradical properties of extracts towards radical species (DPPH, ABTS, O2−, and HOCl−) were demonstrated in vitro, revealing a correlation with polyphenolic content. In fact, OMWW B1 and B2 demonstrated the strongest antiradical activity. Exploring nutraceutical properties of OMWWs, the intestinal permeation of the main polyphenols in a co-culture model (Caco-2 and HT29-MTX cell lines) was assessed, with tyrosol achieving a permeation of almost 60%. Furthermore, the involvement in the inflammation process has been evaluated in cell studies on THP1-derived macrophages by immunocytochemistry, demonstrating that OMWW B1 may exert an anti-inflammatory effect by modulating specific phenotype expression on macrophages. In conclusion, this study provides evidence supporting the reuse of OMWWs as a source of polyphenols with nutraceutical properties.
Tackling Food Waste: An Exploratory Case Study on Consumer Behavior in Romania
Authors: Danciu Cristina-Anca , Croitoru Alin , Antonie Iuliana , Tulbure Anca , Popescu Agatha , Stanciu Cristian , Sava Camelia , Stanciu Mirela
Published: October 2024

The scourge of food waste (FW) is a significant global challenge, impacting climate change, food security, and the sustainability of agrifood systems. The objective of this paper is to identify, analyze, and understand the factors influencing household consumer behaviors in Romania regarding the reduction of FW. Three primary research objectives were established to assess food consumption behaviors within households, to explore attitudes toward FW, and to understand the motivations for reducing FW along with the measures implemented by households to address this issue. Methodology: Data were collected through an online self-administered questionnaire, designed to investigate consumer behaviors related to the avoidance of FW. A descriptive statistical analysis was performed, and a linear regression model was developed to evaluate a composite index measuring Romanian consumers’ behavior towards FW reduction. Results: The resulting model identifies key predictors that drive concrete actions to minimize FW, including the desire to mitigate the environmental impact, household conversations about FW and strategies to reduce it, established food routines, the influence of one’s social circle, individual ecological and social responsibility, and the effectiveness of awareness campaigns addressing the consequences of FW. Practical and social implications: The findings highlight the necessity of education and awareness initiatives to shift attitudes and behaviors concerning FW. Future research is warranted to deepen understanding and enhance interventions. Originality: This study represents a pioneering and innovative inquiry into FW behavior in Romania, filling a gap in the existing literature and contributing to the broader discourse on this pressing environmental issue.
Changes in Nutritional and Techno-Functional Properties of Whole Grain Maize Flours Induced by Dry-Heat Treatment
Authors: Simić Marijana , Nikolić Valentina , Sarić Beka , Milovanović Danka , Kostadinović Marija , Žilić Slađana
Published: October 2024

The present study was carried out to demonstrate the effects of dry heat treatment (DHT) at different temperatures (100, 125, 135, 150, and 165 °C) on the nutritional and techno-functional properties of white, blue, and yellow whole grain maize flour. Results showed that DHT increased the insoluble dietary fiber and free phenolic compounds of the investigated maize flours, while the bound phenolic compounds, anthocyanins, and pasting properties decreased with the rising of the applied temperature. The application of DHT caused the most notable changes regarding the amount of dietary fiber. Content of NDF (neutral detergent fiber) ranged from 11.48% to 44.35%, 14.19% to 37.84%, and 15.15% to 45.86% in white, yellow, and blue maize samples, respectively. Furthermore, at the highest temperature applied in the DHT (165 °C) the content of soluble free phenolic compounds in yellow and blue maize flour samples was 1.2- and 1.4-fold higher compared to control flour samples. DHT significantly improved the functionality of maize flour in terms of water absorption capacity, water solubility, and digestibility, thus it can be effectively used to make up for the poor functionality of raw maize flour. This study shows that DHT at moderate temperatures (125–135 °C), could be a viable solution for the pre-processing of maize flour to enhance the potential for its utilization in the food industry.
Composition of Higher Alcohols in Different Alcoholic Beverages and Their Metabolic Dynamics in Bama Pigs
Authors: Cao Xiaonian , Hou Yunfei , Liu Qingqing , Yang Qian , Liu Min , Lin Haixu , Ren Qingxi , Mao Jian
Published: October 2024

The unique flavour contribution of higher alcohols in alcoholic beverages has received growing attention; however, there is a dearth of information on their in vivo metabolic kinetics. In this study, the composition and content of higher alcohols in different alcoholic beverages from Chinese Baijiu and Lujiu were studied via in vivo analysis using Bama pigs to elucidate the mechanisms for intoxication of alcohol in vitro and in drinkers. Direct injection combined with gas chromatography–mass spectrometry (GC-MS) were used to accurately quantify a total of 14 higher alcohols in five alcoholic beverages. Based on the external standard method, a total content of 289.37–938.33 mg/L was detected, mainly 1-butanol, 3-methyl-1-butanol, 1-hexanol, 2-methyl-1-propanol and 2-butanol. Then, headspace solid-phase microextraction (HS-SPME) and solid-phase extraction (SPE) combined with GC-MS analysis strategy, respectively, were adopted to continuously monitor the changes in the concentrations of ethanol and 11 higher alcohols in the blood within 24 h after gavage of different alcoholic beverages, and the key pharmacokinetic parameters were analysed. The peak concentration (Cmax) and area under curve (AUC) of blood higher alcohols were significantly lower than those of ethanol (p < 0.05), accompanied by a later peak time (Tmax) and a larger apparent clearance rate (CL_F), and there were certain differences between the same higher alcohols in different alcoholic beverages and between different higher alcohols in the same alcoholic beverage. This work provides valuable insights into the metabolism of alcoholic beverages.
Bioaccessibility and Antidiabetic Potential of xique-xique and mandacaru Fruits in a Simulated Gastrointestinal Tract Model
Authors: de Araújo Fábio Fernandes , Farias David de Paulo , Neri-Numa Iramaia Angélica , Pastore Glaucia Maria , Sawaya Alexandra Christine Helena Frankland
Published: October 2024

This study evaluated the influence of gastrointestinal digestion on the bioaccessibility and antidiabetic potential of xique-xique (Pilosocereus gounellei) and mandacaru (Cereus jamacaru) fruits. After digestion, the content of total phenolics and flavonoids reduced by 58.3 and 73.51% in xique-xique and 48.33 and 88.43% in mandacaru. In addition, compounds such as rutin, ρ-coumaric acid, catechin and epicatechin reduced during digestion for both fruits. The antioxidant potential by the ABTS assay increased by 153.3% for xique-xique and 273.46% for mandacaru in the intestinal phase. However, using the ORAC assay, the antioxidant potential of xique-xique reduced from 255.42 to 112.17 μmol TE g−1. The capacity of xique-xique fruit to reduce α-amylase activity reduced 23.71-fold after digestion, but the potential to inhibit α-glucosidase increased 17.8-fold. The antiglycation potential reduced in both fruits after the in vitro gastrointestinal digestion. Thus, the bioaccessibility of the phenolic compounds from the fruits, as well as their functional potential, were influenced by the digestive process, as well as by the sample evaluated.
Bioactive Lipids in Dunaliella salina: Implications for Functional Foods and Health
Authors: Pais Rita , Conde Tiago , Neves Bruna B. , Pinho Marisa , Coelho Marta , Pereira Hugo , Rodrigues Alexandre M. C. , Domingues Pedro , Gomes Ana Maria , Urbatzka Ralph , Domingues Rosário , Melo Tânia
Published: October 2024

Dunaliella salina is a green microalga extensively explored for β-carotene production, while knowledge of its lipid composition is still limited and poorly investigated. Among lipids, polar lipids have been highlighted as bioactive phytochemicals with health-promoting properties. This research aimed to provide an in-depth lipidome profiling of D. salina using liquid and gas chromatography coupled with mass spectrometry. The lipid content was 6.8%, including phospholipids, glycolipids, betaine lipids, sphingolipids, triglycerides, diglycerides, and pigments. Among the total esterified fatty acids, 13.6% were 18:3 omega-3 and 14.7% were 18:1 omega-9. The lipid extract of D. salina showed anti-inflammatory activity by inhibiting cyclooxygenase-2 activity at 100 µg/mL, dose-dependent antioxidant scavenging activity, and antidiabetic activity by inhibiting α-glucosidase activity at 25 and 125 µg/mL. In conclusion, the lipid extract of D. salina has the potential to be used as a functional food ingredient or in the nutraceutical and cosmeceutical industries.
Investigating the Antibacterial Effect of a Novel Gallic Acid-Based Green Sanitizer Formulation
Authors: Mwangi Esther W. , Shemesh Moshe , Rodov Victor
Published: October 2024

The purpose of the present study was to investigate the mechanism of action of our newly developed green sanitizer formulation comprising a natural phenolic compound, gallic acid (GA), strengthened by the Generally Recognized as Safe (GRAS) materials hydrogen peroxide (H2O2) and DL-lactic acid (LA). Combining 8 mM GA with 1 mM H2O2 resulted in an abundant generation of reactive oxygen species (ROS) and a bactericidal effect towards Gram-negative (Escherichia coli, Pseudomonas syringae, and Pectobacterium brasiliense) and Gram-positive (Bacillus subtilis) bacteria (4 to 8 log CFU mL−1 reduction). However, the exposure to this dual formulation (DF) caused only a modest 0.7 log CFU mL−1 reduction in the Gram-positive L. innocua population. Amending the DF with 20 mM LA to yield a triple formulation (TF) resulted in the efficient synergistic control of L. innocua proliferation without increasing ROS production. Despite the inability to grow on plates (>7 log CFU mL−1 population reduction), the TF-exposed L. innocua maintained high intracellular ATP pools and stable membrane integrity. The response of L. innocua to TF could be qualified as a “viable but nonculturable” (VBNC) phenomenon, while with the other species tested this formulation caused cell death. This research system may offer a platform for exploring the VBNC phenomenon, a critical food safety topic.
Physicochemical Attributes Related to Sensory Characteristics of Long-Term Aged Korean Traditional Soy Sauce (Ganjang)
Authors: Byeon Yang Soo , Oh Jungmin , Ku Kyung-Hyung , Kim Mi Jeong , Kim Sang Sook
Published: October 2024

This study investigated the physicochemical properties influencing the sensory characteristics of long-term aged ganjang. Eight ganjang samples aged 3, 10, and 15 years were obtained from three different manufacturers and analyzed for physicochemical characteristics, sensory profiles, and consumer acceptability. The proximate composition (moisture, ash, protein, and crude fat), total solids, salinity, acidity, pH, color (L, a, b, chrome, and hue), 27 free amino acids (FAAs), and volatile compounds were analyzed. Quantitative descriptive analysis was performed by 11 trained panelists for sensory profiles and 102 consumers evaluated consumer acceptability (overall, appearance, odor, taste/flavor, and mouthfeel). The results demonstrated a positive correlation between the aging period and increases in total solids, proteins, crude fat, acidity, color hue, FAA, major volatile compounds, and overall consumer acceptability. Specifically, correlation maps by partial least squares regression between descriptive attributes and FAAs or volatile compounds revealed that these components significantly affected consumer acceptability. Furthermore, sensory attributes such as color intensity, viscosity, sweetness, umami, and aftertaste were positively correlated with consumer preference, whereas attributes such as greenish-brown color, fish sauce-like flavor, and moldy notes were negatively correlated. Overall, these findings could be utilized to enhance the marketability and consumer appeal of long-term aged ganjang products by providing objective information supporting premium values.
Response Surface Methodology Optimization of Exosome-like Nanovesicles Extraction from Lycium ruthenicum Murray and Their Inhibitory Effects on Aβ-Induced Apoptosis and Oxidative Stress in HT22 Cells
Authors: Zhang Yadan , Lu Ling , Li Yuting , Liu Huifan , Zhou Wenhua , Zhang Lin
Published: October 2024

Exosome-like nanovesicles (ELNs) derived from plants are nanoscale vesicles isolated from edible plant sources. Lycium ruthenicum Murray (LRM) has garnered growing attention for its dietary value and therapeutic benefits. In this study, a PEG6000-based method was developed to isolate LRM-ELNs. Response surface methodology (RSM) was used to optimize the extraction conditions to obtain the optimal extraction efficiency. When PEG6000 concentration was at 11.93%, relative centrifugal force was 9720 g, and incubation time was 21.12 h, the maximum LRM-ELN yield was 4.24 g/kg. This optimization process yielded LRM-ELNs with a particle size of 114.1 nm and a surface charge of −6.36 mV. Additionally, LRM-ELNs mitigated Aβ-induced apoptosis in HT22 cells by enhancing mitochondrial membrane potential (MMP), lowering the Bax/Bcl-2 ratio, and reducing Cleaved Caspase-3 expression. Furthermore, LRM-ELNs alleviated Aβ-induced oxidative stress in HT22 cells by promoting the nuclear translocation of Nrf2 and upregulating the expression of HO-1 and NQO1. These findings indicate that LRM-ELNs exert protective effects against Aβ-induced damage in HT22 cells and may be considered as a potential dietary supplement for Alzheimer’s disease prevention.
Seasonal Variability of Human Enteric Viruses Discovered in Food Production Mussels (Mytilus galloprovincialis) Farmed in the Central Adriatic Sea (Italy)
Authors: Ferri Gianluigi , Olivieri Vincenzo , Olivastri Alberto , Di Vittori Chiara , Vergara Alberto
Published: October 2024

Among the different naked and quasi-enveloped viruses, the hepatitis A virus (HAV), hepatitis E virus (HEV), and norovirus genogroups I and II (NoV GI and NoV GII) are considered the main microbiological noxae involved in foodborne outbreaks. Mussels can harbor pathogens in their tissues. In addition to epidemiological attention, marine water temperature changes are considered a crucial variable influencing viral loads. This study aimed to biomolecularly screen 1775 farmed mussels (Mytilus galloprovincialis) for viral ribonucleic acid (RNA) sequence detection (belonging to the HAV, HEV, and NoV GI and GII genogroups) in three different sampling periods (spring, summer, and winter), with the mussels collected from three farms located in the Central Adriatic Sea (Italy). The results showed that 10.42% of the screened animals harbored at least one type of pathogen RNA, more specifically, 5.35% HEV, 4.51% NoV GI, and 0.56% HAV. The highest genetic equivalent (GE) amounts were majorly observed in the winter season (NoV GI 1.0 × 103 GE/g and HEV 1.0 × 102 GE/g), resulting in statistical differences when compared to summer and spring (p-value: <0.001). The original data obtained serve to bring scientific attention to the possible influence of environmental and climatic aspects on viral loads, highlighting the crucial role played by biomolecular assays as preventive medicine tools.
Accelerated Life Testing of Biodegradable Starch Films with Nanoclay Using the Elongation Level as a Stressor
Authors: Frangopoulos Theofilos , Ketesidis Apostolos , Marinopoulou Anna , Goulas Athanasios , Petridis Dimitrios , Karageorgiou Vassilis
Published: October 2024

An attempt was made to evaluate the elongation level as a stressor on biodegradable starch films reinforced with nanoclay using a simple linear model. A total of 120 film units were subjected to increasing elongation levels and the exact break time of the failed units was monitored. Nine different attempts were made to fit the data distribution and the lognormal distribution was chosen as the most suitable because it resulted in the lowest values of the regression fit indices −2LL, AICc and BIC. Following the selection of the best fit, it was, generally, observed that an increase in the elongation level resulted in the decreasing exact break time of the films. Among several models, the best fit was provided by the simple linear model. Based on this model, the acceleration factor was estimated, and it was shown that it increased exponentially while increasing the elongation level. Finally, the probability of failure and the hazard rate of the film units as a function of the elongation level were estimated, demonstrating the applicability of this method as a tool for food packaging film failure prediction.