首页期刊导航|Food Control
期刊信息/Journal information
Food Control
Elsevier Science Ltd.
Food Control

Elsevier Science Ltd.

0956-7135

Food Control/Journal Food ControlSCIISTP
正式出版
收录年代

    Virus detection methods for different kinds of food and water samples - The importance of molecular techniques

    Hrdy, JakubVasickova, Petra
    21页
    查看更多>>摘要:The microbiological safety of food and the environment in which we live is currently an intensely discussed topic. Increasing production and the demand-driven global market exert pressure on ensuring sufficient high-quality food and safe drinking water. Compared to the past, increased attention in this area is now paid to important viral agents associated with food/water contaminations in both intensive research and routine diagnostics. This interest in viral agents has also increased in recent years due to the ongoing global pandemic caused by the novel coronavirus. Food- and water-borne viruses usually cause only mild and short-term diseases. The most common is gastroenteritis manifested by fever, vomiting and watery diarrhoea. However, in addition to mild febrile illness, these agents can also cause more serious conditions - respiratory infections, hepatitis, conjunctivitis, aseptic meningitis, myocarditis, encephalitis and paralysis. Globally, these diseases have significant economic impacts and are still among the leading causes of death in developing countries. This manuscript provides an overview of food- and water-borne viruses and technologies developed and currently used for their identification as causative agents. Methods for the detection of these pathogens represent an important tool for the assessment and mitigation of potential risks associated with the contamination of food and water resources. There is currently a wide range of possible approaches. Their use is differently targeted and their sensitivity, effectiveness and specificity also vary. In the case of a specific application, it is therefore necessary to choose the appropriate method, optimize it, and then verify its applicability and limits. The chosen method should be sufficiently robust, sensitive, specific and, if possible, also time and labor saving.

    Instantaneous characterization of crude vegetable oils via triacylglycerols fingerprint by atmospheric solids analysis probe tandem mass spectrometry with multiple neutral loss scans

    Pizzo, Jessica S.Cruz, Victor H. M.Santos, Patricia D. S.Silva, Geovane R....
    11页
    查看更多>>摘要:Vegetable oils have many applications, including in food and cosmetics industries. In this study, triacylglycerols (TAG), the main components of vegetable oils, were investigated via Fourier transform infrared with attenuated total reflection analysis (FTIR-ATR), gas chromatography with flame ionization detection (GC-FID), and atmospheric solids analysis probe tandem mass spectrometry (ASAP-MS/MS). Instantaneous characterization of 20 vegetable oils extracted according to the Bligh and Dyer method, including soybean, sunflower, sweet almond, and coconut oils, via TAGs fingerprint was provided by ASAP-MS/MS, directly from a droplet of the crude oil, without sample preparation and solvent use. It was found that each vegetable oil has a characteristic fingerprint of TAG and results were according to those obtained by GC-FID and FTIR-ATR analysis. In addition, the difference in the relative abundance of TAG composition could be used as the target in differentiating vegetable oil types from each other. As coconut oil was differentiated from other oils only by its mass spectrum, it was not applied to principal component analysis (PCA), which effectively differentiate sweet almond oil from soybean and sunflower oils. Therefore, the results demonstrate the potentiality of ASAP-MS/MS with chemometrics analysis as powerful, fast, clean, and non-destructive tools for characterization and quality control of vegetable oils.

    Fatty acid profiles as natural tracers of provenance and lipid quality indicators in illegally sourced fish and bivalves

    Fonseca, Vanessa F.Duarte, Irina A.Matos, Ana RitaReis-Santos, Patrick...
    8页
    查看更多>>摘要:Determining where harvested or produced seafood comes from is a pressing issue worldwide, with growing consumers' demand for traceable and sustainable seafood products. Identifying fine-scale traceability markers is particularly important in the context of small-scale fisheries, which are prone to illegal harvesting and mislabelling and associated food safety risks. Here we explored the power of fatty acid profiling as a fine-scale tracer of the geographical origin (<30 km apart) of the Peppery furrow shell bivalve (Scrobicularia plana) and the European seabass (Dicentrarchus labrax) collected in three locations within a large, urbanized estuary. Fatty acid profiling provided a high classification accuracy of both species to their collection sites (80%-100% for the seabass and the bivalve respectively). Fatty acid profiling also allowed the determination of food lipid quality indices. The EPA + DHA values and the atherogenic (Ai), thrombogenic (Ti) and the hypocholesterolemic/hypercholesterolemic (h/H) indexes were all within ranges of high lipid-quality seafood, albeit they varied significantly among collection sites (except h/H). Overall, results highlight the strength of fatty acid profiling as a natural marker to trace the geographic origin of small-scale fisheries products, which may be integrated into a broader regulatory monitoring framework.

    Lacto-fermented polypeptides integrated with edible coatings for mango (Mangifera indica L.) bio-preservation

    Ranjith, Fernando H.Muhialdin, Belal J.Arroo, RandolphYusof, Noor Liyana...
    11页
    查看更多>>摘要:Mango (Mangifera indica L.) is one of the most important tropical fruits due to its pleasant taste and high nutrient content including vitamins, minerals, and phytochemicals. Post-harvest fungal diseases, mainly anthracnose, stem-end rot, and aspergillus rot are among the major problems in mango provision throughout all the supply chain stages. Fungal diseases create large economic losses and present a health risk for consumers due to the production of mycotoxins (aflatoxin and patulin). In the last two decades, chemical methods for fungal control have been prevalent because of their low cost and simple practicing features. However, recent consumer trends and regulations have limited the use of chemicals in fruits at the post-harvest stage. Bio-preservation is a promising alternative technique applied to control the post-harvest fungi with high safety for the consumer and environment. Antifungal polypeptides are made by different living beings including bacteria, fungi, protozoa, plants, invertebrates, and vertebrates. Polypeptides including small peptides produced by lactic acid bacteria (LAB) have a higher potential to employ as food bio-preservatives due to their promising antifungal ability with generally recognized as safe (GRAS) status. Lacto-fermented polypeptides inhibit a broad range of fungal growth, and thus enhance the quality and extend the shelf life through reducing biotic stress, respiration, and ethylene biosynthesis of post-harvested fruits. Recently, polypeptides, mainly bioactive peptides, and bacteriocins received great attention for their potential bio-preservation activity against pathogenic fungi in fruits. Moreover, the development of edible coating enhanced the stability of the bioactive polypeptides and expanded their applications for fruit preservation. This article reviews the fungi associated with main mango diseases, major causal organisms, antifungal activity of LABs' polypeptides on mango, and their antifungal performances to control the postharvest mango spoilage. Besides, this review highlights the potential applications of Lacto-fermented poly-peptides-enriched edible coating to control the pathogenic fungi of mango.

    Screening inhibitor to prevent the psychrotrophic growth of Pseudomonas fluorescens by using molecular simulation

    Fu, LinglinWang, YanboCen, CongnanChen, Jian...
    8页
    查看更多>>摘要:Pseudomonas fluorescens is a specific spoilage bacteria in seafood, which has the ability to maintain growth and reproduction at low temperatures. There are some functional proteins in Pseudomonas fluorescens to defense the harm of cold to its life activities. Hence, disrupting this defense mechanism may be a good way to control food spoilage. In this study, we screened the food ingredients database to search for potential cold defense mechanism inhibitors of P. fluorescens PF08 by using virtual screening. From the screening results, we found a compound with inhibitory activity - L-phenylalanine. Moreover, the effects of L-phenylalanine on the cold defense mechanism were determined. L-phenylalanine is difficult to inhibit bacterial growth at room temperature. However, it significantly inhibits the growth ability of Pseudomonas fluorescens PF08 and the production of biofilm at 4 degrees C. In addition, we also found that L-phenylalanine can compress RpoS and Algk, which undoubtedly interferes with the function of proteins.

    Fish as a risk source for human health: OCPs and PCBs in Pacific salmon

    Donets, Maksim M.Tsygankov, Vasiliy YuGumovskiy, Alexandr N.Gumovskaya, Yulia P....
    6页
    查看更多>>摘要:The genus Oncorhynchus includes such Pacific salmon species as the chum (O. keta), pink (O. gorbuscha), sockeye (O. nerka), Chinook (O. tshawytscha), coho (O. kisutch), and masu salmon (O. masou). Persistent organic pollutants (POPs) are a hazardous group of persistent xenobiotic substances that concentrate in live organisms. In our previous works, we showed Pacific salmon to be suitable indicators for monitoring POPs in the world's oceans. The present work aimed to assess the safe intake of organs of commercially valuable Pacific salmon species caught from 2012 to 2018 using risk values for hazard quotient (HQ) and incremental lifetime cancer risk (ILCR). The DDT and HCH concentrations in the Pacific salmon caught in 2012-2014 exceeded the standards of Russia, Canada, China, the EU, and WHO. The safe intake of salmon organs for this period varied from 2.9 to 201.6 kg/yr per capita. However, the POP levels significantly decreased by 2018, whereas the safe intake increased to 153-10,038 kg/yr. Most of the values are too high for real consumption, which indicates a minimal risk to human health from POPs in Pacific salmon. However, even if the results show no probability of poisoning or cancer development during lifetime, the chance of adverse consequences for human health should not be neglected completely. It is necessary to continue monitoring of these pollutants in commercially valuable fish and to assess their safe intake in accordance with the world's best practices.

    Inactivation effects of plasma-activated water on Fusarium graminearum

    Guo, JianWang, JiaoyuXie, HuiJiang, Junlong...
    12页
    查看更多>>摘要:The continuous usage of fungicides poses a potential threat to the environment, ranging from mere irritation to being very toxic to human beings and organisms. Plasma-activated water (PAW) has recently gained much interest as a promising candidate to inactivate phytopathogens. However, the inactivation mechanisms of PAW are still not well understood. In this study, the effect of PAW on the cellular responses of Fusarium graminearum and the efficacy of PAW against F. graminearum in vivo and in vitro were investigated. The results showed that microbial activity of spores was significantly inhibited by PAW treatment (P < 0.05). The symptoms caused by F. graminearum were significantly reduced on the wheat spikelets. PAW could induce cell wall sculpturing, membrane permeability changes, and mitochondrial dysfunction. Differential gene expression analysis also confirmed that the cell membrane, the cell wall and the mitochondria were the organelles most affected by PAW. The results from this study facilitate the understanding of the mechanisms underlying the responses of F. graminearum to PAW and indicate the potential of PAW as a fungicidal agent or an effective supplement to fungicides.

    Knowledge and awareness about food safety, foodborne diseases, and microbial hazards: A cross-sectional study among Bangladeshi consumers of street-vended foods

    Al Banna, Md HasanKundu, SatyajitBrazendale, KeithAhinkorah, Bright Opoku...
    10页
    查看更多>>摘要:Maintaining quality and safety of street-vended foods (SVFs) is a challenge and a public health priority in low-and middle-income countries due to its affordability, availability and association with foodborne diseases and microbial hazards. The purpose of this study was to assess the knowledge and awareness of food safety, foodborne diseases, and microbial hazards among Bangladeshi consumers of SVFs. A cross-sectional survey was administered among 650 Bangladeshi adults who purchase and consume SVFs. The mean food safety knowledge score of consumers was 10.73 (SD = 2.84, range: 3-18), indicating moderate knowledge. Multiple linear regression analysis found that male consumers (B = 0.549, p < 0.030), consumers with 'no formal education' (B = 1.815, p < 0.045), and consumers with 'secondary education' (B = 1.476, p < 0.016) were less knowledgeable about food safety compared to their counterparts. Older consumers (36-45 years) were more knowledgeable about food safety compared to younger consumers (18-25 years) (B = 1.300, p < 0.011). Three-quarters of the respondents (76.9%) were not always confident about food safety issues when they bought SVFs, and affordability was the main reason (37.8%) for purchasing SVFs. Increased education and awareness on food safety education for Bangladeshi consumers of SVFs is needed, specifically targeting young adult males, and individuals with lower educational backgrounds.

    Honey discrimination based on the bee feeding by Laser Induced Breakdown Spectroscopy

    Stefas, DimitriosGyftokostas, NikolaosKourelias, PanagiotisNanou, Eleni...
    9页
    查看更多>>摘要:In the present work, Laser Induced Breakdown Spectroscopy (LIBS) is used for the first time to investigate the effects of artificial feeding of bees on the honey. According to LIBS technique the emission spectral characteristics of the plasma created on the surface of honey samples are analyzed. Correlation plots indicating the importance of spectral lines of elements as e.g., Calcium (Ca), Magnesium (Mg), Sodium (Na) and Potassium (K) are constructed. In addition, machine learning algorithms based on Linear Discriminant Analysis (LDA) and Random Forest Classifiers (RFC) are employed to classify the honey samples in terms of the bee food used. The constructed machine learning models were validated by both cross-validation and external validation, while the obtained accuracies exceeded 90% of correct classification, indicating the potential of LIBS technique for honey discrimination. The obtained results by LIBS were also validated by HPLC-RID, which is the standard technique used for the analysis of the main honey sugars.

    A comparison of neural and non-neural machine learning models for food safety risk prediction with European Union RASFF data

    Nogales, AlbertoDiaz-Moron, RodrigoGarcia-Tejedor, Alvaro J.
    11页
    查看更多>>摘要:European Union launched the RASFF portal in 1977 to ensure cross-border monitoring and a quick reaction when public health risks are detected in the food chain. There are not enough resources available to guarantee a comprehensive inspection policy, but RASFF data has enormous potential as a preventive tool. However, there are few studies of food and feed risk issues prediction and none with RASFF data. Although deep learning models are good prediction systems, it must be confirmed whether in this field they behave better than other machine learning techniques. The importance of categorical variables encoding as input for numerical models should be specially studied. Results in this paper show that deep learning with entity embedding is the best combination, with accuracies of 86.81%, 82.31%, and 88.94% in each of the three stages of the simplified RASFF process in which the tests were carried out. However, the random forest models with one hot encoding offer only slightly worse results, so it seems that in the quality of the results the coding has more weight than the prediction technique. Our work also demonstrates that the use of probabilistic predictions (an advantage of neural models) can also be used to optimize the number of inspections that can be carried out.