Development of a new salmon salting smoking method and process monitoring by impedance spectroscopy

[EN] In this work two objectives were proposed: (i) to optimize a new salmon salting smoking method using vacuum packaging and (ii) to evaluate the application of impedance spectroscopy (IS) to the on-line monitoring of the process. Different processing conditions were evaluated (4 smoke flavoring (SF) salt concentrations, 3 salting times, salting in vacuum or in air). Physico-chemical analyses and IS measurements were performed with three different sensors during the process. Salting with 16 g SF salt/100 g fish in vacuum packaging provided smoked salmon similar to products currently available on the market. This new method has the advantages of reducing processing times and waste. IS measurements were carried out by three different electrodes. The most appropriate sensor for process monitoring was a needle electrode, with which robust prediction models for NaCl content, moisture and a,,, during the salting smoking process were obtained. The results showed the potential of IS as a rapid on-line monitoring method of the salmon salting smoking process. (C) 2012 Elsevier Ltd. All rights reserved.The authors gratefully acknowledge the financial support for the work reported here received from the Generalitat Valenciana (GV/2011/098) and the Universitat Politecnica de Valencia (UPV) (PAID-06-09-2940). A. Fuentes would like to thank the Campus de Excelencia Internacional at the UPV for its support. The proof-reading of this paper was funded by the UPV, Spain.Rizo Párraga, AM.; Fuentes López, A.; Fernández Segovia, I.; Masot Peris, R.; Alcañiz Fillol, M.; Barat Baviera, JM. (2013). Development of a new salmon salting smoking method and process monitoring by impedance spectroscopy. LWT - Food Science and Technology. 51(1):218-224. https://doi.org/10.1016/j.lwt.2012.09.025S21822451

Presence of palm oil in foodstuffs: consumers' perception

Purpose - The purpose of this paper is to determine the presence of palm oil in food products on sale, and to study and compare consumers' opinions about this oil type in Spain (importing country) and Peru (producing country). Design/methodology/approach - Recent news published in both countries, which could influence consumer perceptions, were analysed. A study on the labelling of foodstuffs in Spain was carried out, as was a survey with Spanish and Peruvian consumers. Findings - Palm oil was found in a large number of products and in a wide range of foods, especially those from the bakery sector. The percentages of saturated fats varied substantially within the same product type. Spanish consumers showed much more interest in the labelling and information on nutritional properties, especially energy values, saturated fats and sugars, while Peruvians focused more on energy values, and protein, vitamin and mineral contents. In Spain, palm oil was considered the worst quality fat/oil and had a clearly negative effect on both health and the environment. In Peru, palm oil was neither perceived by the majority of respondents as low quality oil nor associated with negative health effects. However, they were aware of the environmental problems that could result from its production. Originality/value - These results confirm that the food industry should make efforts to reduce or replace palm oil in foods, mainly in Spain, as most consumers believe that palm oil negatively affects their health and the environmen

Sensory hybrid host materials for the selective chromo-fluorogenic detection of biogenic amines

Pyrylium-containing mesoporous materials have been used for the chromo-fluorogenic sensing of biogenic amines in an aqueous environment.Amoros del Toro, Pedro Jose, [email protected]

Nondestructive assessment of freshness in packaged sliced chicken breasts using SW-NIR spectroscopy

A technique was developed to predict the freshness of packaged sliced chicken breast employing a nondestructive visible and short-wavelength near-infrared (SW-NIR) spectroscopy method. Spectra were recorded at 0, 7 and 14days using a camera, spectral filter (400-1000nm) and a halogen flood lighting system which were developed and calibrated for the purpose. Physicochemical, biochemical and microbiological properties such as moisture (x w), water activity (a w), pH, total volatile basic nitrogen (TVB-N), ATP breakdown compounds (K 1 values) and mesophilic bacteria (cfu g -1) were determined to predict freshness degradation. The spectra obtained were related to the storage time of the samples. The best wavelengths for modeling freshness were 413, 426, 449, 460, 473, 480, 499, 638, 942, 946, 967, 970 and 982nm. A linear correlation was found between the visible and SW-NIR spectroscopy and parameters such as microbiological counts, K 1 and T-VBN indexes. © 2010 Elsevier Ltd.We wish to thank the Polytechnic University of Valencia and Generalitat Valenciana for the financial support they provided through the PAID-06-08-3251 and GVPRE/2008/170 Projects, respectively.Grau Meló, R.; Sánchez Salmerón, AJ.; Girón Hernández, LJ.; Ivorra Martínez, E.; Fuentes López, A.; Barat Baviera, JM. (2011). Nondestructive assessment of freshness in packaged sliced chicken breasts using SW-NIR spectroscopy. Food Research International. 44:331-337. doi:10.1016/j.foodres.2010.10.011S3313374

Low-Temperature drying of salted cod (Gadus morhua) assisted by high power ultrasound: Kinetics and physical properties

[EN] Low-temperature convective drying could be considered an affordable alternative to conventional freeze-drying for foodstuffs. The process intensification should be based on non-thermal technologies, such as power ultrasound. Thereby, the aim of this work was to evaluate the air-borne application of power ultrasound on the low-temperature drying of salted cod. For that purpose, drying experiments were carried out at −10, 0, 10 and 20 °C on salted cod slices at 2 m/s with (AIR + US, 20.5 kW/m3) and without ultrasonic application (AIR). In the dried-salted cod, its rehydration capacity was analyzed, as were the microstructural, textural and color changes. At every temperature tested, ultrasound application increased the drying rate; thus, an average increase of 74%was observed in the effective diffusivity. AIR+US dried samples were softer and exhibited a higher rehydration capacity than AIR ones, which was linked to the microstructural changes produced by ultrasound. In addition, color changes were induced by ultrasound application. Industrial relevance: Nowadays, low-temperature convective drying represents a promising alternative for the production of high-quality dried products. However, this technology is mostly limited by the low drying rate, which retards the dehydration process and directly increases the processing costs. Power ultrasound, a nonthermal technology, represents an interesting alternative means of improving low-temperature convective drying due to the fact that acoustic (mechanical)waves may affectwater removal during dryingwith a low heating capacity. Thereby, the ultrasonically enhanced low-temperature convective drying could constitute an affordable alternative to lyophilization (or freeze-drying), which is mainly restricted to high-quality food commodities.The authors acknowledge the financial support both from the Ministerio de Economia y Competitividad (Ref. DPI2012-37466-C03-03) and Carmen Cambra S.L. for their technical support with the selection of the raw material. Cesar Ozuna was the recipient of a fellowship from the Universitat Politecnica de Valencia for his research stay in Aalesund University College.Ozuna López, C.; Cárcel Carrión, JA.; Walde, PM.; García Pérez, JV. (2014). Low-Temperature drying of salted cod (Gadus morhua) assisted by high power ultrasound: Kinetics and physical properties. Innovative Food Science and Emerging Technologies. 23:146-155. https://doi.org/10.1016/j.ifset.2014.03.008S1461552

Epigenetic Silencing of Host Cell Defense Genes Enhances Intracellular Survival of the Rickettsial Pathogen Anaplasma phagocytophilum

Intracellular bacteria have evolved mechanisms that promote survival within hostile host environments, often resulting in functional dysregulation and disease. Using the Anaplasma phagocytophilum–infected granulocyte model, we establish a link between host chromatin modifications, defense gene transcription and intracellular bacterial infection. Infection of THP-1 cells with A. phagocytophilum led to silencing of host defense gene expression. Histone deacetylase 1 (HDAC1) expression, activity and binding to the defense gene promoters significantly increased during infection, which resulted in decreased histone H3 acetylation in infected cells. HDAC1 overexpression enhanced infection, whereas pharmacologic and siRNA HDAC1 inhibition significantly decreased bacterial load. HDAC2 does not seem to be involved, since HDAC2 silencing by siRNA had no effect on A. phagocytophilum intracellular propagation. These data indicate that HDAC up-regulation and epigenetic silencing of host cell defense genes is required for A. phagocytophilum infection. Bacterial epigenetic regulation of host cell gene transcription could be a general mechanism that enhances intracellular pathogen survival while altering cell function and promoting disease

A blood microRNA classifier for the prediction of ICU mortality in COVID-19 patients: a multicenter validation study

Background: The identification of critically ill COVID-19 patients at risk of fatal outcomes remains a challenge. Here, we first validated candidate microRNAs (miRNAs) as biomarkers for clinical decision-making in critically ill patients. Second, we constructed a blood miRNA classifier for the early prediction of adverse outcomes in the ICU. Methods: This was a multicenter, observational and retrospective/prospective study including 503 critically ill patients admitted to the ICU from 19 hospitals. qPCR assays were performed in plasma samples collected within the first 48 h upon admission. A 16-miRNA panel was designed based on recently published data from our group. Results: Nine miRNAs were validated as biomarkers of all-cause in-ICU mortality in the independent cohort of critically ill patients (FDR < 0.05). Cox regression analysis revealed that low expression levels of eight miRNAs were associated with a higher risk of death (HR from 1.56 to 2.61). LASSO regression for variable selection was used to construct a miRNA classifier. A 4-blood miRNA signature composed of miR-16-5p, miR-192-5p, miR-323a-3p and miR-451a predicts the risk of all-cause in-ICU mortality (HR 2.5). Kaplan‒Meier analysis confirmed these findings. The miRNA signature provides a significant increase in the prognostic capacity of conventional scores, APACHE-II (C-index 0.71, DeLong test p-value 0.055) and SOFA (C-index 0.67, DeLong test p-value 0.001), and a risk model based on clinical predictors (C-index 0.74, DeLong test-p-value 0.035). For 28-day and 90-day mortality, the classifier also improved the prognostic value of APACHE-II, SOFA and the clinical model. The association between the classifier and mortality persisted even after multivariable adjustment. The functional analysis reported biological pathways involved in SARS-CoV infection and inflammatory, fibrotic and transcriptional pathways. Conclusions: A blood miRNA classifier improves the early prediction of fatal outcomes in critically ill COVID-19 patients.11 página

Prognostic implications of comorbidity patterns in critically ill COVID-19 patients: A multicenter, observational study

Background The clinical heterogeneity of COVID-19 suggests the existence of different phenotypes with prognostic implications. We aimed to analyze comorbidity patterns in critically ill COVID-19 patients and assess their impact on in-hospital outcomes, response to treatment and sequelae. Methods Multicenter prospective/retrospective observational study in intensive care units of 55 Spanish hospitals. 5866 PCR-confirmed COVID-19 patients had comorbidities recorded at hospital admission; clinical and biological parameters, in-hospital procedures and complications throughout the stay; and, clinical complications, persistent symptoms and sequelae at 3 and 6 months. Findings Latent class analysis identified 3 phenotypes using training and test subcohorts: low-morbidity (n=3385; 58%), younger and with few comorbidities; high-morbidity (n=2074; 35%), with high comorbid burden; and renal-morbidity (n=407; 7%), with chronic kidney disease (CKD), high comorbidity burden and the worst oxygenation profile. Renal-morbidity and high-morbidity had more in-hospital complications and higher mortality risk than low-morbidity (adjusted HR (95% CI): 1.57 (1.34-1.84) and 1.16 (1.05-1.28), respectively). Corticosteroids, but not tocilizumab, were associated with lower mortality risk (HR (95% CI) 0.76 (0.63-0.93)), especially in renal-morbidity and high-morbidity. Renal-morbidity and high-morbidity showed the worst lung function throughout the follow-up, with renal-morbidity having the highest risk of infectious complications (6%), emergency visits (29%) or hospital readmissions (14%) at 6 months (p<0.01). Interpretation Comorbidity-based phenotypes were identified and associated with different expression of in-hospital complications, mortality, treatment response, and sequelae, with CKD playing a major role. This could help clinicians in day-to-day decision making including the management of post-discharge COVID-19 sequelae. Copyright (C) 2022 The Author(s). Published by Elsevier Ltd