Article
Computer Science, Interdisciplinary Applications
Julia T. Thomas, Mahesh Kumar
Summary: This paper proposes a new sampling technique for improved quality assurance. Comparative analysis shows that the new plan is more cost-effective than traditional methods. The study also considers the impact of inspection flaws on plan outcomes.
JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION
(2023)
Article
Computer Science, Hardware & Architecture
Waqar Hafeez, Nazrina Aziz
Summary: This study proposes a Bayesian two-sided group chain sampling plan (BTSGChSP) as an alternative to traditional sampling plans. By using Bayesian approaches, previous knowledge can be utilized to determine whether to accept or reject a whole lot of products. The study finds that BTSGChSP is a better substitute for industrial practitioners.
COMPUTER SYSTEMS SCIENCE AND ENGINEERING
(2023)
Article
Environmental Sciences
Mamoru Tanaka, Tomoya Kataoka, Yasuo Nihei
Summary: Microplastics, plastic particles smaller than 5 mm in diameter, are becoming widespread pollutants in natural environments, including freshwater ecosystems. However, there is currently no standard method for in situ sampling in freshwater environments. This study proposes a framework based on the Poisson point process to compute confidence intervals for microplastic concentration estimates and validates the method using samples from two urban rivers in Chiba, Japan.
ENVIRONMENTAL POLLUTION
(2023)
Article
Mathematics
Muhammad Aslam, P. Jeyadurga, S. Balamurali, Muhammad Azam, Ali AL-Marshadi
Summary: This paper proposes a modified multiple dependent state sampling plan for assuring product lifetime under specific distributions, determining optimal parameters based on operating characteristic curve approach, and comparing effectiveness and economic design with existing plans.
JOURNAL OF MATHEMATICS
(2021)
Article
Environmental Sciences
Huiyi Tan, Keng Yinn Wong, Bemgba Bevan Nyakuma, Haslinda Mohamed Kamar, Wen Tong Chong, Syie Luing Wong, Hooi Siang Kang
Summary: This study developed a systematic procedure to establish the relationship between particulate matter (PM) and microbial counts in operating rooms (ORs), confirming that PM 0.5 does not have a significant positive correlation with microbial counts, but PM 5 and PM 10 have correlations of 7% and 15% respectively, suggesting the importance of monitoring both PM 5 and PM 10 in ORs before surgical procedures for estimating microbial counts.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Ecology
Erik Blystad Solbu, Bert van der Veen, Ivar Herfindal, Knut Anders Hovstad
Summary: This paper demonstrates the use of generalized linear mixed models to study dynamic species abundance distributions, with simulations and case studies on fish and bat communities. The main finding is that species heterogeneity is the main factor influencing community similarity.
Article
Statistics & Probability
Faryal Ibrar, Sajid Ali, Ismail Shah
Summary: The Receiver Operating Characteristics (ROC) analysis is commonly used to evaluate the performance of a single threshold in distinguishing bimodal-distributed test results in clinical settings. However, when dealing with three-modal-distributed test results, the analysis using a single threshold shows poor discrimination performance. This study aims to introduce a double-threshold ROC analysis to improve the discrimination performance for three-modal-distributed test results. By replacing the single threshold with a double threshold, a double-threshold receiver operating characteristic plot (dtROC) is constructed. Both a simulation study and a clinical application demonstrate that the dtROC analysis outperforms the stROC analysis in discrimination performance.
JOURNAL OF APPLIED STATISTICS
(2022)
Article
Multidisciplinary Sciences
Ayan Das, Nirmalendu Debnath
Summary: The paper proposes a probabilistic damage detection method using a combination of normal and lognormal distribution in the Bayesian framework, with detailed formulations for finite element model updating and modal data. The approach considers multiple sensor setups and repeated measurements, incorporating normal and lognormal distributions for different random parameters. The proposed methodology is validated on a three-dimensional building structure with simulated damage cases, showing improved performance in updating and damage detection compared to solely normal distribution and Gibbs sampling in Bayesian updating.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2021)
Article
Computer Science, Information Systems
Waqar Hafeez, Nazrina Aziz, Zakiyah Zain, Nur Azulia Kamarudin
Summary: Acceptance sampling is a statistical quality control technique that inspects a sample of incoming lots of finished products to determine whether to accept or reject the whole lot. Traditional acceptance sampling relies on the assumption of stable process and constant proportion of nonconforming products, while the Bayesian approach incorporates prior information of the process. This study introduces a novel Bayesian group chain sampling plan, which aims to minimize the average number of defective products in industry by considering consumer's and producer's risks.
CMC-COMPUTERS MATERIALS & CONTINUA
(2022)
Article
Engineering, Multidisciplinary
Chien-Wei Wu, Amy H. Lee, Shih-Wen Liu
Summary: With the improvement of technology and living standards, people pay more attention to the importance of quality. Quality has become the key to company competitiveness, and process capability indices (PCIs) are effective tools for measuring process performance. However, most existing indices are based on the assumption of normal distribution, while actual product lifetimes often follow non-normal distributions. This study proposes a new lifetime performance index and develops a repetitive group sampling plan using gamma distribution and the uniformly minimum-variance unbiased estimator. This plan provides cost-effective inspection for product lifetimes in the high-quality era.
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL
(2022)
Article
Agriculture, Multidisciplinary
Shuai Zhang, Jiwen Cui, Hang Wu, Qin Zheng, Dali Song, Xiubin Wang, Shuiqing Zhang
Summary: The study found that the combination of BC with NPK fertilisers significantly improved soil aggregate stability and increased TOC and TN levels in soil. Both BC-amended and NPK-amended treatments had positive effects on soil properties, with BC + NPK treatment showing the best results. The application of BC enhanced microbial community compositions, especially fungal abundance, in soil aggregates.
AGRICULTURE ECOSYSTEMS & ENVIRONMENT
(2021)
Article
Computer Science, Interdisciplinary Applications
Waqar Hafeez, Nazrina Aziz
Summary: Acceptance sampling is a method used to make decisions about accepting or rejecting a lot based on inspection of a representative sample. The Bayesian approach is used in this study to estimate the average number of defects and propose a new sampling plan. By considering consumer's and producer's risks, quality regions are estimated and design parameters are determined for the proposed plan. Comparisons with existing plans show that the proposed plan is a better substitute.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Engineering, Industrial
Huiling Zheng, Jun Yang, Yu Zhao
Summary: This paper proposes an optimal RDT design method considering unit heterogeneity, which determines the sampling plan by optimizing the model parameters estimation accuracy, and solves the problems of ignoring unit heterogeneity and not distinguishing QSP from ASP in previous studies.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Mathematics, Applied
Arturo J. Fernandez
Summary: This study develops optimal test plans based on posterior odds ratios for the disposition of product lots. The number of nonconformities per unit is modeled by the Conway-Maxwell-Poisson distribution. An approximation of the optimal test plan is derived using the asymptotic normality of the log ratio. A mixed-integer nonlinear programming problem is solved via Monte Carlo simulation to find the smallest number of inspected items per lot and the maximum tolerable posterior odds ratio. The proposed methodology provides specified protections to manufacturers and customers and minimizes the needed sample size.
Article
Environmental Sciences
Xiao Li, Yaobin Lu, Haiping Luo, Guangli Liu, Cesar Torres, Renduo Zhang
Summary: This study investigated the pH effect on bacterial community stratification in the cathodic biofilm of a microbial fuel cell (MFC) under alkaline conditions. The results showed significant changes in the composition and relative abundance of bacterial community with different pH values, and an increase in maximum power density in the MFC with higher pH values. The study is valuable for developing new catalysts and cathodes in MFCs.
Review
Environmental Sciences
Philippe Fravalo, Pauline Kooh, Lapo Mughini-Gras, Julie David, Anne Thebault, Vasco Cadavez, Ursula Gonzales-Barron
Summary: Campylobacter spp. is a significant causative agent of diarrheal illness globally, with foodborne transmission being a major route but other exposures also playing a role. A meta-analysis of case-control studies identified international travel, recent use of gastric antacids, occupational exposure to animals, and consuming raw or undercooked eggs, poultry, beef, and dairy as main risk factors for campylobacteriosis in mixed populations. In children, drinking untreated water, exposure to recreational water, farm/rural environments, contact with farm animals, person-to-person transmission, and consuming raw milk were highlighted as significant risk factors.
MICROBIAL RISK ANALYSIS
(2021)
Article
Agriculture, Dairy & Animal Science
Ursula Gonzales-Barron, Gisela Santos-Rodrigues, Roberto Bermudez Piedra, Sara Coelho-Fernandes, Koldo Osoro, Rafael Celaya, Raimundo Serrao Mauricio, Jaime Pires, Anna Tolsdorf, Andreas Gess, Francesco Chiesa, Mirian Pateiro, Alberto Brugiapaglia, Raul Bodas, Mario Baratta, Jose M. Lorenzo, Vasco A. P. Cadavez
Summary: The study evaluated the quality attributes of lamb meat from eight European breeds and found that storage and intrinsic properties significantly influenced these attributes. Variability in meat quality was observed due to breed and production system differences, with color, lipid oxidation, and cooking loss increasing during storage.
SMALL RUMINANT RESEARCH
(2021)
Article
Food Science & Technology
Vincenzo Pennone, Ursula-Gonzales Barron, Kevin Hunt, Vasco Cadavez, Olivia McAuliffe, Francis Butler
Summary: The study compared omnibus modeling to conventional sequential first-order/second-order modeling of growth data for five strains of L. monocytogenes. The omnibus model showed smaller differences compared to the first-order modeling which indicated small but significant differences in growth rate. Overall, there was broad agreement between the growth rate estimates obtained by first-order and omnibus modeling.
Article
Food Science & Technology
Beatriz Nunes Silva, Vasco Cadavez, Pedro Ferreira-Santos, Maria Jose Alves, Isabel C. F. R. Ferreira, Lillian Barros, Jose Antonio Teixeira, Ursula Gonzales-Barron
Summary: This study evaluated the potential of six plant extracts as food additives, studied their chemical profiles and bioactivities, and found that extraction methods and solvents influence the characteristics of the extracts. The results demonstrate that these plant extracts have the potential to be used as bioactive preservatives in foods or packaging.
Review
Environmental Sciences
Pauline Kooh, Anne Thebault, Vasco Cadavez, Ursula Gonzales-Barron, Isabelle Villena
Summary: This study identified key risk factors associated with sporadic cryptosporidiosis, including travel, immunocompromising conditions, waterborne transmission, contact with infected humans, contact with animals, and food consumption. Consumption of meat, raw milk, and dishes consumed outside home were significantly associated with cryptosporidiosis, while poorly washed fruits and vegetables increased the risk significantly. Some potential sources of Cryptosporidium such as shellfish or vegetables are under-investigated, suggesting the need for future studies to explore these sources in relation to Cryptosporidium genotype and subtype.
MICROBIAL RISK ANALYSIS
(2021)
Article
Agronomy
Jorge Luiz da Silva, Vasco Cadavez, Jose M. Lorenzo, Eduardo Eustaquio de Souza Figueiredo, Ursula Gonzales-Barron
Summary: The study aimed to evaluate the effects of camu-camu powder on physicochemical meat parameters and the growth kinetics of bacteria in vacuum-packed ground beef. Results showed that camu-camu powder reduced lipid peroxidation in beef but had inhibitory effects on bacterial growth.
Article
Agriculture, Dairy & Animal Science
Ursula Gonzales-Barron, Teodora Popova, Roberto Bermudez Piedra, Anna Tolsdorf, Andreas Gess, Jaime Pires, Ruben Dominguez, Francesco Chiesa, Alberto Brugiapaglia, Irene Viola, Luca M. Battaglini, Mario Baratta, Jose M. Lorenzo, Vasco A. P. Cadavez
Summary: This study evaluated and compared the quality characteristics, chemical composition, and lipid profile of lamb meat from different breeds reared in extensive and semi-extensive production systems. The findings indicated that extensively reared lambs produced lean meat with a more favorable fatty acid profile for human health.
SMALL RUMINANT RESEARCH
(2021)
Article
Agriculture, Dairy & Animal Science
Rocio Rosa Garcia, Tanja Peric, Vasco Cadavez, Andreas Gess, Joaquim Orlando Lima Cerqueira, Ursula Gonzales-Barron, Mario Baratta
Summary: This study evaluated foliage arthropods, vegetation cover, flower numbers, and plant species richness in sheep grazed lands from 5 EU countries, finding that more extensively managed farms had higher total arthropod abundance, sward height, and plant species richness. The composition of the arthropod and pollinator communities varied between management strategies and vegetation types, with more diverse groups linked to areas under extensive management.
SMALL RUMINANT RESEARCH
(2021)
Correction
Food Science & Technology
Beatriz Nunes Silva, Vasco Cadavez, Pedro Ferreira-Santos, Maria Jose Alves, Isabel C. F. R. Ferreira, Lillian Barros, Jose Antonio Teixeira, Ursula Gonzales-Barron
Article
Food Science & Technology
Beatriz Nunes Silva, Olga Maria Bonilla-Luque, Aricia Possas, Youssef Ezzaky, Abdelkhaleq Elmoslih, Jose Antonio Teixeira, Fouad Achemchem, Antonio Valero, Vasco Cadavez, Ursula Gonzales-Barron
Summary: Diffusion methods and dilution methods are commonly used to evaluate the antimicrobial capacity of extracts and essential oils derived from Origanum, Syzygium aromaticum, and Citrus. The results are reported as inhibition diameters and minimum inhibitory concentrations. Meta-analytical regression models were built to investigate the sources of variability and the correlation between inhibition diameters and minimum inhibitory concentrations. The study found varied bacterial susceptibilities among the extracts and different impacts of plant species and methodology utilized on the measurements obtained.
Article
Agricultural Engineering
Nesar Mohammadi Baneh, Hossein Navid, Jalal Kafashan, Hatef Fouladi, Ursula Gonzales-Barron
Summary: This study focuses on the accurate recognition of stem and calyx in apple quality classification. The researchers developed a highly accurate and feasible methodology using Niblack thresholding and k-nearest neighbor classifiers, along with a locally designed small-scale apple sorting machine. The results showed that using a 5-nearest neighbor classifier and Euclidean distance with 80 training samples achieved accuracy rates of 100% for stem and 97.5% for calyx. This study is significant for the development of an advanced small-scale and low-cost sorting machine in the horticultural industry.
Article
Food Science & Technology
Beatriz Nunes Silva, Sara Coelho-Fernandes, Jose Antonio Teixeira, Vasco Cadavez, Ursula Gonzales-Barron
Summary: This study investigates the effect of a customised starter culture and plant extracts on the kinetics of Staphylococcus aureus and lactic acid bacteria in raw milk soft cheeses. The results show that the bio-preservatives can reduce the time required for a one-log reduction in S. aureus, but they may also affect the pH drop and decay rates in the cheese. Spearmint and sage extracts have an impact on the specific growth rate of lactic acid bacteria, while lemon balm does not have a significant effect.
Review
Food Science & Technology
Beatriz Nunes Silva, Jose Antonio Teixeira, Vasco Cadavez, Ursula Gonzales-Barron
Summary: This study provides an overview of lactic acid bacteria and plant extracts as antimicrobial agents in artisanal cheeses, as well as thermisation as a strategy to avoid pasteurisation. The mechanisms of antimicrobial action, advantages, limitations, and potential commercial applications of these approaches are discussed. Plant extracts and lactic acid bacteria appear to be effective in reducing microbial contamination, while thermisation can effectively inactivate pathogens.
Article
Microbiology
Zeinab Ebrahimzadeh Mousavi, Leonard Koolman, Guerrino Macori, Seamus Fanning, Francis Butler
Summary: This study characterized Cronobacter sakazakii strains through whole-genome sequencing and identified important features, such as virulence genes and multiple antibiotic resistance. Furthermore, the study compared the strains globally, contributing to a better understanding of Cronobacter outbreaks and the development of prevention and control strategies.
Article
Environmental Sciences
Beatriz Nunes Silva, Sara Coelho-Fernandes, Jose Antonio Teixeira, Vasco Cadavez, Ursula Gonzales-Barron
Summary: In this study, the heat resistance of S. aureus in goats' raw milk subjected to different thermisation temperatures was investigated. The Weibull model was used to model the survival curves and two different approaches were employed to analyze the data. The study established a model capable of predicting S. aureus behavior at different temperatures and provided valuable information for the production of safer unpasteurized milk cheeses.
MICROBIAL RISK ANALYSIS
(2023)
Article
Food Science & Technology
Ewelina Bigoraj, Iwona Kozyra, Agnieszka Kaupke, Zbigniew Osinski, James Lowther, Artur Rzezutka
Summary: The aim of this study was to assess the prevalence of human enteric viruses in mussels sold on the Polish market and study the fecal contamination of shellfish. The study found that human enteric viruses were commonly present in shellfish, with norovirus being the most frequently detected. The study also observed a seasonal distribution pattern of viruses in shellfish samples.
Editorial Material
Food Science & Technology
Bojan Blagojevic, Lis Alban Denmark
Article
Food Science & Technology
Indy Magnus, Fatemeh Abbasi, Hugo Thienpont, Lien Smeesters
Summary: Food safety and quality are increasingly important in our society, driving the development of novel optical food sensing technologies. However, current optical sensing technologies are often limited in their sensitivity and product variability. In this study, we developed a novel pistachio nut screening methodology using fluorescence spectroscopy and advanced chemometrics to simultaneously detect shells, tree parts, and aflatoxins. By optimizing hardware and software parameters, we achieved a high classification accuracy for healthy pistachio kernels.
Article
Food Science & Technology
Xiaodong Wang, Jingqiang Yu, Haixia Wu, Leiying Wu, Wuyunga Borjihan, Cong Wang, Munkhjargal Burenjargal, Alideertu Dong
Summary: This study developed a novel photon-phonon coupling (PPC) cold sterilization technology and compared its effects with low-temperature pasteurization and microwave ultraviolet. The results showed that PPC effectively reduced bacterial count in raw milk with minimal impact on milk quality and nutritional composition.
Review
Food Science & Technology
Riyadh Abdulmalek Hassan, Sharina Abu Hanifah, Lee Yook Heng, Fawaz Al-badaii, Alizar Ulianas
Summary: This study used bibliometric visualisation map analysis to explore the publication outputs, trends, and hotspots for endocrine disruptors (EDMs) biosensor development in relation to mycotoxins. The analysis showed that the current literature primarily focuses on developing biosensors for detecting highly toxic and widely distributed mycotoxins in food, but there needs to be more focus on biosensors for detecting mycotoxins known as endocrine disruptors.
Article
Food Science & Technology
Yajie Zheng, Jianpeng Dou, Changpo Sun, Hujun Liu, Shipei Zhang, Wenfu Wu
Summary: This study investigated the efficiency of modified SA/ll-glucan/Mt microsphere adsorbents in removing DON and ZEN from CSL. The microspheres showed high adsorption capacity, and simple and rapid regeneration was achieved without affecting the removal efficiency of mycotoxins from CSL.
Article
Food Science & Technology
Carlos Adelantado, Jose Angel Salatti-Dorado, Carlos Herrera, Lourdes Arce, Maria Jose Cardador
Summary: High-performance-ion mobility spectrometry (HPIMS) was used for the first time in the analysis of olive oil samples, following a simple liquid-liquid extraction procedure. The developed methodology is user-friendly, fast, and inexpensive, complying with the principles of green chemistry. The proposed approach, combined with multivariate analysis, showed potential in classifying olive oil samples based on their organoleptic quality, with high accuracy rates.
Article
Food Science & Technology
Jia-Wen Wei, Jia-Rong He, Shi-Yi Chen, Yi-Han Guo, Xuan-Zhu Huo, Nuan Zheng, Shuo-Hui Cao, Yao-Qun Li
Summary: Polycyclic aromatic hydrocarbons (PAHs) are a major cause of human cancer. This study developed a quantitative analysis method for PAH4 using the back propagation neural network (BPNN) algorithm and constant wavelength synchronous fluorescence (CWSF) spectra as the data sets. The method can predict the concentrations of PAH4 in edible oil samples without preprocessing or pre-separation. It has been proven to be a powerful tool for the rapid detection of PAH4.
Article
Food Science & Technology
Liyun Chen, Xiumei Li, Jingyi Chen, Ranxun Lin, Yuhan Mai, Yuxin Lin, Guodong Wang, Zheng Chen, Wei Zhang, Jiang Wang, Cai Yuan, Longguang Jiang, Peng Xu, Mingdong Huang
Summary: Food spoilage is primarily caused by microbial contamination. Curcumin has shown moderate antimicrobial activity as a food preservative. This study formulates curcumin with zinc acetate to enhance its efficacy, resulting in Cur-Zn with increased antimicrobial activity against multiple food-contaminating bacteria and fungi. With light illumination, the antimicrobial activity of Cur-Zn is further enhanced due to the photodynamic inactivation (PDI) effect.
Article
Food Science & Technology
Marta Pilar Ortiz-Moriano, Gonzalo Machado-Schiaffino, Eva Garcia-Vazquez, Alba Ardura
Summary: Mislabelling in the global fisheries sector raises concerns about the identity, safety, and sustainability of seafood products. This study examined mislabelling in shrimps and prawns sold in the Spanish market and assessed potential risks of heavy metal ingestion.
Article
Food Science & Technology
Doyeon Kim, Jinwoo Kim, Minsik Kim
Summary: This study demonstrates the enhanced bactericidal activity of engineered lysins fused with amphipathic antimicrobial peptides against Gram-negative bacterium Cronobacter sakazakii. The fusion lysins are capable of disrupting bacterial cells and significantly reducing the risk of infection within a certain range of temperature and pH. Additionally, the study also shows the bactericidal effect of these fusion lysins against other Gram-negative pathogens.
Article
Food Science & Technology
Seul-Ki Park, Kyung-Jin Cho, Du-Min Jo, Young-Mog Kim
Summary: This study presents a new approach for detecting pathogenic Vibrio spp. in contaminated seafood, which combines PCR with a simplified DNA extraction process and pre-culturing step. The method has been validated and shown to be efficient, time-saving, and highly sensitive, offering a potential alternative for improving safety measures in the food industry.
Article
Food Science & Technology
Suwimol Surareungchai, Chaleeda Borompichaichartkul, Chitsiri Rachtanapun, Nutthachai Pongprasert, Pongphen Jitareerat, Varit Srilaong
Summary: This study builds upon previous research and focuses on risk assessment and analysis in the organic salad industry. The results show that previous risk matrix models can be adapted for various raw materials, and preventive control plans can be applied across different aspects of the production process.
Article
Food Science & Technology
Xuan Zhang, Changling Fang, Xiaoyi Lou, Feng Han, Siman Li, Yongfu Shi, Dongmei Huang
Summary: This study aimed to assess the levels of Biogenic amines (BAs) in four common food types in the Chinese market. It was found that cheese and seafood derived product showed higher levels of BAs, and the histamine level in mackerel and yellow rice wine exceeded the limits.
Article
Food Science & Technology
Martina Foschi, Alessandra Biancolillo, Federico Marini, Francesco Cosentino, Francesca Di Donato, Angelo Antonio D'Archivio
Summary: This study aimed to develop a potentially non-destructive and routine-compatible method for the geographical traceability of high-valued Italian chickpeas. By analyzing the spectral information of the outer and inner parts of the kernels, it was found that the spectral analysis of the outer part yielded accurate and reliable results, indicating the possibility of non-destructive authentication.