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Food Control
Elsevier Science Ltd.
Food Control

Elsevier Science Ltd.

0956-7135

Food Control/Journal Food ControlSCIISTP
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    A comprehensive review of advanced glycosylation end products and N-Nitrosamines in thermally processed meat products

    Lu, JingnanLi, MingyuHuang, YoushengXie, Jianhua...
    10页
    查看更多>>摘要:Advanced glycosylation end products (AGEs) and N-nitrosamines (NAs) are common hazards in the processing of meat products. AGEs are produced by Maillard reaction and fat oxidation during processing and storage, whereas NAs are produced by nitrosation after the addition of nitrite during meat processing. They may have some relevance to human diseases, such as diabetes and cancer. Literature revealed that the contents of fat and protein in meat products and processing methods have a remarkable influence on the formation of AGEs and NAs. These two hazardous substances can be detected in a variety of meat products, and adding antioxidants can effectively inhibit the production of AGEs and NAs. This paper reviews the formation mechanism, influencing factors, detection methods, and inhibition methods of AGEs and NAs in meat products and discusses their exposure values in meat products to provide reference for people's healthy diet and understand and control the levels of AGEs and NAs in meat products.

    The evaluation of the usefulness of textures from cross-section images obtained using a digital camera and a flatbed scanner for cultivar discrimination of quince (Cydonia oblonga Mill.)

    Ropelewska, EwaMieszczakowska-Frac, MonikaKruczynska, Dorota
    7页
    查看更多>>摘要:The aim of this study was to evaluate the usefulness of a digital camera and a flatbed scanner for acquiring the cross-section images intended to calculate the texture parameters for cultivar discrimination of quince. The quince belonging to cultivars 'Bereczki', 'Kaszczenko', 'Leskovac', 'Marija' and 'Uspiech' were used in the research. The textures selected from color channels R, G, B, L, a, b, X, Y, Z, U, V, individual color spaces Lab, RGB, XYZ, YUV and a set of textures selected from all channels (R, G, B, L, a, b, X, Y, Z, U, V) were applied for building the discriminative models. The discrimination accuracies determined in the case of models built based on selected textures from images obtained using a digital camera were higher than using a flatbed scanner. For the textures selected from all color channels, the total accuracy reached 99% in the case of images from a digital camera and 94% for images from a flatbed scanner. The models built based on the texture parameters selected from individual color spaces provided the total accuracies of up to 99% for Lab and YUV color spaces for images from a digital camera and up to 90% for Lab and YUV color spaces for images obtained using a flatbed scanner. Among the individual color channels, the color channel V ensured the highest total accuracies equal to 90% for images acquired using a digital camera and 77% in the case of images from a flatbed scanner.

    Determination of hidden milk allergens in meat-based foodstuffs by liquid chromatography coupled to electrospray ionization and high-resolution tandem mass spectrometry

    Bianco, MariachiaraCalvano, Cosima D.Ventura, GiovanniLosito, Ilario...
    11页
    查看更多>>摘要:The issue of deliberate addition of antigenic proteins to foodstuffs for ameliorating bulk properties or the unintentional cross-contamination poses potentially life-threatening health problems to susceptible subjects. Even the intake of food products declaring the absence of allergens on their labels could lead to severe risks for sensitive consumers due to the presence of the so-called "hidden allergens". Thus, the quantification of low-abundant proteins as putative allergens has become mandatory. Herein, we present a sensitive and selective analytical method based on reversed-phase liquid chromatography coupled to electrospray ionization and hybrid orbitrap high-resolution mass spectrometry (RPLC-ESI-HRMS) and tandem MS, identifying, and quantifying allergenic milk proteins in complex meat-based foodstuffs from direct measurement of tryptic peptides. Two signature peptides of alpha-S1-casein and beta-lactoglobulin, i.e., FFVAPFPEVFGK (m/z 692.868(2+)) and TPEVDDEALEK (m/z 623.295(2+)), respectively, were chosen to search for hidden allergens in meat-based samples such as cooked meat, sausages, and sterilised pate. The marker peptides were identified and were exploited for method validation including recovery, matrix effect, precision, linearity, method variation, limit of detection, and limit of quantification. The undeclared occurrence of milk allergens as total milk protein content (TCMP) was verified in commercial meat products; beef and pork pate were meat-based products which require a major alert because up to 22 mu g(TCMP)/g of matrix i.e. more than 10 times the action level was determined.

    Assessment of multiple mycotoxins in raw milk of three different animal species in Nigeria

    Akinyemi, Muiz O.Braun, DominikWindisch, PatrickWarth, Benedikt...
    8页
    查看更多>>摘要:The mycotoxin profile of 135 raw milk samples from camel (n = 25), cow (n = 23) and goat (n = 87) in Nigeria was assessed by an ultra-sensitive LC-MS/MS method. Four, seven and 17 of the tested 36 mycotoxins were detected in camel, cow and goat milk, respectively. Among these were aflatoxin P-1, alternariol monomethyl ether, citrinin, dihydrocitrinone, enniatins, ochratoxin a and sterigmatocystin reported for the first time in animal milk. The regulated aflatoxin M-1 contaminated all cow milk (max: 81 ng/L) and 49% of goat milk (max: 3108 ng/L) samples, with 13% and 55%, respectively, exceeding the 50 ng/L EU limit. Aflatoxin M-1 was not detected in camel milk samples. Overall, at least one mycotoxin was detected in 97% of all samples; beauvericin (87%) being the most frequent. Raw animal milk presents an additional source of mycotoxin exposures in the Nigerian populace. Consequently, mycotoxin mitigation should also target the dairy food chain.

    Establishing a novel procedure to detect deviations from standard milk processing by using online Raman spectroscopy

    Vasafi, Pegah SadeghiHinrichs, JoergHitzmann, Bernd
    9页
    查看更多>>摘要:Controlling milk processing steps is a crucial task as it affects the quality and safety of the final product. Using Raman spectrometer in combination with various evaluation techniques such as principal component analysis and regression, Gaussian process regression, and the autoencoder were checked to define an accurate method for detection of deviations from standard procedures. For this purpose, milk with 5% fat measured at 10 degrees C was considered as the reference milk. A temperature-controlled flow cell was used in a by-pass for online measurements. While the principal component regression was not able to predict the deviations, results demonstrate the capability of Gaussian process regression and the autoencoder to detect 5% added water and cleaning solution, 0.1% difference in fat content and variation of 5 degrees C in measurement temperature. It can be concluded that both procedures display promising results, however, the autoencoder can be trained once and used immediately for online supervision. Therefore, changes can be detected promptly, enabling companies to react instantly.

    Organosulfur volatile profiles in Italian red garlic (Allium Sativum L.) varieties investigated by HS-SPME/GC-MS and chemometrics

    Biancolillo, AlessandraAloia, RosariaRossi, LeucioD'Archivio, Angelo Antonio...
    9页
    查看更多>>摘要:Sixty-eight samples of red garlic harvested in four Italian areas were analyzed by means of head-space solid phase micro-extraction (HS-SPME) coupled to gas-chromatography with mass spectrometry (GC-MS) to test whether the volatile composition is related with the geographical origin of the bulbs. HS-SPME/GC-MS analysis was optimized by means of a Box-Behnken design of experiment. Once GC-MS signals were collected and the volatiles identified, geographical classification was attempted by Partial Least Squares Discriminant Analysis (PLS-DA). To perform the external validation of the model, the investigated samples were divided into a training and a test set of 42 and 26 samples, respectively. The PLS-DA model correctly classified 21 external samples. Eventually, Variable Importance in Projection (VIP) analysis identified 13 organosulfur compounds (two sulphides, eight disulphides and three trisulphides), among the 25 detected ones, displaying a content in garlic flavour significantly dependent on the geographical origin of the bulbs.

    Detoxification of aflatoxin B1 by H2SO3 during maize wet processing, and toxicity assessment of the transformation product of aflatoxin B1

    Yang, BoleiLi, LiGeng, HairongWang, Gang...
    8页
    查看更多>>摘要:Maize is susceptible to contamination with aflatoxins (AFs). Consumption of AFs contaminated maize can cause poisoning and even death. The goals of this study were to determine the detoxification efficacy of sulfurous acid (H2SO3) on aflatoxin B1 (AFB1) within the range of soaking parameters used in industrial maize production, to identify the transformation product of AFB1 and analyze the cytotoxicity of transformation product. AFB1 contaminated maize was soaked in different concentrations of H2SO3 and the results indicated that soaking time and temperature could significantly influence the detoxification efficiency; 25-31 mu g/kg of AFB1 in maize could be detoxified by 0.2-0.3 % of H2SO3. The transformation product was obtained using mass spectrometry and molecular formula analysis. It was identified as C17H14O9S, named as AFB1-HSO3. The toxicity of AFB1-HSO3 was evaluated. Cell morphology showed that the damage caused by AFB1 was significantly greater than that caused by AFB1-HSO3. It also found that the effects of AFB1-HSO3 on the activity, ATP and DNA content of Hep G2 cells were significantly less than that of AFB1. It was concluded that AFB1-HSO3 was less toxic than AFB1 in this system. These results suggest that H2SO3 can be used as a potential detoxification agent in industrial maize production.

    Perceived risks related to unconventional restaurants: A perspective from edible insects and live seafood restaurants

    Ali, LaibaAli, Faizan
    9页
    查看更多>>摘要:Although edible insect and live seafood restaurants are gaining attention worldwide, there is still limited research on what types of risks consumers associate with these unconventional restaurants and their resulting intentions to visit them during the occurrence of worldwide COVID-19. Therefore, this study combines perceived risk theory and protection motivation theory to propose several antecedents towards consumer's intention to visit edible insect and live seafood restaurants. Surveys conducted from edible insect restaurants (Sample A) and seafood restaurants (Sample B) were analyzed using PLS-SEM. Results showed that only perceived vulnerability, psychological risk, and sensation seeking influence customers' intention to visit both types of restaurants. Perceived severity, financial risk, environmental risk, and social risk do not influence customers' intentions to visit such restaurants.

    Application of blue light-emitting diode in combination with antimicrobials or photosensitizers to inactivate Escherichia coli O157:H7 on fresh-cut apples and cherry tomatoes

    Hyun, Jeong-EunMoon, Sung-KwonLee, Sun-Young
    8页
    查看更多>>摘要:The aim of this study was to investigate the antibacterial effect of blue light-emitting diode (blue-LED; 460-470 nm) combined with various chemicals at inactivating Escherichia coli O157:H7 on the surface of agar media and fresh produce. Fresh-cut apples and cherry tomatoes were immersed in antimicrobials (1 % ascorbic acid, 0.025 % carvacrol, and 0.125 % citric acid) or photosensitizers (0.0078 % curcumin and 0.0078 % riboflavin) on the inactivation of E. coli O157:H7 during illumination for 5 d at 4 degrees C. When carvacrol was combined with blue-LED, there was a higher reduction in E. coli O157:H7 populations compared with treatment with blue-LED, an anti-microbial, or a photosensitizer alone. In particular, among the chemicals tested, the populations of E. coli O157: H7 on cherry tomatoes was reduced below detectable level (<1.48 log(10)) CFU/g) when treated with the combination of carvacrol or ascorbic acid and blue LED after storage of 5 d, without causing color deterioration. BI values were significantly reduced by the combined treatment of carvacrol (38.30), citric acid (37.67) or ascorbic acid (39.85) with blue LED for 5 d when compared to control (59.36). These results indicates that blue-LED in combination with antimicrobials or photosensitizers, may be applied to extend the shelf-life of fresh-cut fruits and vegetables during distribution without causing color deterioration.

    Comparing novel shotgun DNA sequencing and state-of-the-art proteomics approaches for authentication of fish species in mixed samples

    Varunjikar, Madhushri S.Moreno-Ibarguen, CarlosAndrade-Martinez, Juan S.Tung, Hui-Shan...
    11页
    查看更多>>摘要:Replacement of high-value fish species with cheaper varieties or mislabelling of food unfit for human con-sumption is a global problem violating both consumers' rights and safety. For distinguishing fish species in pure samples, DNA approaches are available; however, authentication and quantification of fish species in mixtures remains a challenge. In the present study, a novel high-throughput shotgun DNA sequencing approach applying masked reference libraries was developed and used for authentication and abundance calculations of fish species in mixed samples. Results demonstrate that the analytical protocol presented here can discriminate and predict relative abundances of different fish species in mixed samples with high accuracy. In addition to DNA analyses, shotgun proteomics tools based on direct spectra comparisons were employed on the same mixture. Similar to the DNA approach, the identification of individual fish species and the estimation of their respective relative abundances in a mixed sample also were feasible. Furthermore, the data obtained indicated that DNA sequencing using masked libraries predicted species-composition of the fish mixture with higher specificity, while at a taxonomic family level, relative abundances of the different species in the fish mixture were predicted with slightly higher accuracy using proteomics tools. Taken together, the results demonstrate that both DNA and protein-based approaches presented here can be used to efficiently tackle current challenges in feed and food authentication analyses.