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Influence of temperature and ultrasound on drying kinetics and antioxidant properties of red pepper
This is an Author's Accepted Manuscript of J. A. Cárcel, D. Castillo, S. Simal & A. Mulet (2019) Influence of temperature
and ultrasound on drying kinetics and antioxidant properties of red pepper, Drying Technology,
37:4, 486-493, DOI: 10.1080/07373937.2018.1473417 [copyright Taylor & Francis], available online at: http://www.tandfonline.com/10.1080/07373937.2018.1473417[EN] Red pepper samples (1 m/s) were dried at different temperatures (30, 50, 70 degrees C) without and with (20.5 kW/m(3); 21.7 kHz) ultrasound application. The antioxidant capacity (AC), the total phenolic content (TPC), and the ascorbic acid (AA) content of fresh and dried red pepper samples were used as indicators of the quality of the dried products. Ultrasound application significantly improved the kinetics in every case, influencing not only the effective diffusivity but also the mass transport coefficient thus implying a reduction in energy needs. Drying significantly reduced AC, TPC, and AA, this reduction being significantly smaller at 70 degrees C due to the shorter drying time. Compared with conventional drying, ultrasound application reduced the loss of antioxidant properties at 50 degrees C but produced greater degradation at 70 degrees C, which points toward an optimal drying temperature when using ultrasound.The authors acknowledge the financial support from Generalitat Valenciana [PROMETEOII/2014/005] and INIA [RTA2015-00060-C04-02 and RTA2015-00060-C04-03].Carcel, JA.; Castillo, D.; Simal, S.; Mulet Pons, A. (2019). Influence of temperature and ultrasound on drying kinetics and antioxidant properties of red pepper. Drying Technology. 37(4):486-493. https://doi.org/10.1080/07373937.2018.1473417S486493374Di Scala, K., & Crapiste, G. (2008). Drying kinetics and quality changes during drying of red pepper. LWT - Food Science and Technology, 41(5), 789-795. doi:10.1016/j.lwt.2007.06.007Doymaz, Ä°., & Pala, M. (2002). Hot-air drying characteristics of red pepper. Journal of Food Engineering, 55(4), 331-335. doi:10.1016/s0260-8774(02)00110-3Cárcel, J. 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Calidad microbiolĂłgica de una fĂłrmula enteral lista para usar
Indexación: ScieloTo determinate and compare the microbiological quality of a ready to use enteral formula (EF): liquid ADN™ during different periods of time. Methods: The study was developed in the Hospital formula-preparing room. Twenty liters of EF were delivered in 40 plastic sterile bottles using aseptic technique, and were maintained at room temperature during 24 hours. Feed samples of 50 ml at time 0 and at 24 hours were obtained and frozen at _70º C, until they were investigated (40 feed samples of EF were cultivated at preparation time 0, and 24 hours). Mesophile count (Me), total coliform (TC) and faecal coliform (FC) bacteria were investigated. The feed samples were analized at the Microbiologic Laboratory of CESMEC. The microbial quality standards (MQS) were at time 0:
< 10² UFC/ml of (Me), and no (TC) and (FC). At 24 hours: < 10³ UFC/ml of (Me), < 10 UFC/ml of (TC) and no (FC).The statistical data analysis was done using Stata program and Z test was used for proportions. The level of p < 0,05 was considered statistically significant. Results: The average of fulfilment (MQS) for liquid ADN™ at time 0, and 24 hours was 100% and 95% (p = 0,3) for Me. TC got 100% fulfilment (MQS) at any time. FC were not detected at any time. Conclusions: Liquid ADN™can be hung during 24 hours at room temperature.http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-10182004000400005&nrm=is
Phase–Property Diagrams for Multicomponent Oxide Systems toward Materials Libraries
Exploring the vast compositional space offered by multicomponent systems or high entropy materials using the traditional route of materials discovery, one experiment at a time, is prohibitive in terms of cost and required time. Consequently, the development of high-throughput experimental methods, aided by machine learning and theoretical predictions will facilitate the search for multicomponent materials in their compositional variety. In this study, high entropy oxides are fabricated and characterized using automated high-throughput techniques. For intuitive visualization, a graphical phase–property diagram correlating the crystal structure, the chemical composition, and the band gap are introduced. Interpretable machine learning models are trained for automated data analysis and to speed up data comprehension. The establishment of materials libraries of multicomponent systems correlated with their properties (as in the present work), together with machine learning-based data analysis and theoretical approaches are opening pathways toward virtual development of novel materials for both functional and structural applications
Evaluation of four rapid diagnostic tests for canine and human visceral Leishmaniasis in Colombia
Background: Leishmaniasis caused by different species of Leishmania affect 98 countries worldwide. Visceral Leishmaniasis (VL) is the mortal clinical presentation of the disease that causes the dead to more than 90% of the patients who suffer it. The diagnosis of VL is made by the direct observation of the parasite in bone marrow, spleen and/or liver aspirates that requires complex proceedings. Therefore, serum samples are submitted to Indirect Immunofluorescence to identify the presence of anti-Leishmania antibodies. Despite the variability in the diagnostic performance of the Immunochromatographic Tests (ICTs), there are many evidences that suggest that ICTs can be used for epidemiological screening. However, in Colombia there are not any evidence about the performance of the ICTs for VL diagnosis, both for human and canine serum samples. Therefore, this study evaluated the diagnostic performance of 4 ICTs for VL (2 ICTs in human sera and 2 ICTs in canine sera) in samples from endemic areas of Colombia. Methods: We selected a total of 156 human serum samples (82 positive and 74 negative for VL) and 126 canine serum samples (71 positive and 54 negative) diagnosed by in house Indirect Immunofluorescence (IIF). The samples were submitted to the ICTs following the manufacturers' instructions. Statistical analysis was performed to evaluate the diagnostic performance of each ICT in comparison with the IIF. PCR for HSP70 gene and sanger sequencing was performed in samples with negative results for both ICTs. Results: The sensitivity (S) of both ICTs for human samples (Ad-bio Leishmania IgG/IgM Combo Rapid Test and Kalazar Detect™) was 91.5% and specificity (E) were 93.2 and 89.2% respectively, while for the ICTs tested on canine samples (Kalazar Detect™ Rapid Test, Canine and DPP® CVL rapid test) we found S values between 82.9 and 85.7% and E values between 79.6 and 92.6%. We found L. infantum by PCR and sequencing in 2 human samples, and L. braziliensis and L. amazonensis in canine serum samples that were negative by both ICTs. Conclusions: We conclude that both tests evaluated on human samples have a similar diagnostic performance, while the Kalazar Detect™ Rapid Test, Canine showed a better diagnostic performance than the DPP® CVL rapid test evaluated on canine samples. Also, we suggest that it is necessary to design tests with antigens of the circulating strains to increase its diagnostic utility. © 2019 The Author(s)
Determination of field capacity and yield mapping in olive harvesting using remote data acquisition
Sensors, communication systems and geo-reference units are required to achieve an optimized management of agricultural inputs with respect to the economic and environmental aspects of olive groves. In this study, three commercial olive harvesters were tracked in Spain and Chile using remote and autonomous equipment to determine their time efficiency and field capacity. An experimental methodology for analyzing the data to determine the field capacity and efficiency is proposed, which, along with a conventional methodology, was used to analyze the data to determine field capacity and efficiency. The results of both methodologies are compared to validate the suitability of the experimental methodology. Furthermore, a yield monitor was developed and evaluate using one of the tested olive harvesters. The results show that yield monitoring of olives is possible, but further research is needed to archieve a more reliable methodology
Analysis and Optimization of Power Consumption in the Iterative Solution of Sparse Linear Systems on Multi-core and Many-core Platforms
Optimization of Power Consumption in the Iterative Solution of Sparse Linear Systems on Graphics Processors
Hyperspectral Unmixing on Multicore DSPs: Trading Off Performance for Energy
Wider coverage of observation missions will increase
onboard power restrictions while, at the same time, pose higher
demands from the perspective of processing time, thus asking for
the exploration of novel high-performance and low-power processing
architectures. In this paper, we analyze the acceleration
of spectral unmixing, a key technique to process hyperspectral
images, on multicore architectures. To meet onboard processing
restrictions, we employ a low-power Digital Signal Processor
(DSP), comparing processing time and energy consumption with
those of a representative set of commodity architectures. We
demonstrate that DSPs offer a fair balance between ease of
programming, performance, and energy consumption, resulting
in a highly appealing platform to meet the restrictions of current
missions if onboard processing is required
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