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  1. Article: Novel hydrophobic interaction chromatography matrix for specific isolation and simple elution of immunoglobulins (A, G, and M) from porcine serum.

    Ramos-Clamont, Gabriela / del Carmen Candia-Plata, Maria / Zamudio, Roberto Guzman / Vazquez-Moreno, Luz

    Journal of chromatography. A

    2006  Volume 1122, Issue 1-2, Page(s) 28–34

    Abstract: ... M Na2SO4, control with unmodified Sepharose retained a small fraction (0.70 mg/mL of matrix ...

    Abstract A new, highly acetylated agarose matrix (HA-Sepharose) was synthesized and used as a hydrophobic interaction chromatography (HIC) medium to specifically isolate immunoglobulins (Igs) from porcine serum. Recovery of Igs was in a single step and under mild conditions. HA-Sepharose adsorption was studied in terms of salt, gel acetylation time, flow rate, and protein concentration on the loading buffer. At 0.5 M Na2SO4, control with unmodified Sepharose retained a small fraction (0.70 mg/mL of matrix) of serum albumin. On the contrary HA-Sepharose retained primary Igs (IgA, IgG, and 53% of IgM) as revealed by sodium dodecyl sulphate 10% polyacrylamide gel electrophoresis (SDS-PAGE), quantitative radial immunodiffusion and immunodetection. At a flow rate of 1 mL/min, the HA-Sepharose column capacity (3.9 mg/mL of matrix) was similar to the reported capacity for the commercial thiophilic T-gel. However, HA-Sepharose showed higher recovery of IgA and IgM than the T-gel in the same salt conditions, clearly an advantage in terms of immunoglobulin recovery strategies. Acetylation changed the matrix adsorption from albumin to immunoglobulins; thus, the highly acetylated gel rendered recoveries of Igs from unprocessed porcine serum practically free of albumin.
    MeSH term(s) Adsorption ; Animals ; Blotting, Western ; Chromatography, Affinity/methods ; Chromatography, Gel/methods ; Electrophoresis, Polyacrylamide Gel/methods ; Hydrophobic and Hydrophilic Interactions ; Immunoblotting ; Immunoglobulin A/blood ; Immunoglobulin A/isolation & purification ; Immunoglobulin G/blood ; Immunoglobulin G/isolation & purification ; Immunoglobulin M/blood ; Immunoglobulin M/isolation & purification ; Immunoglobulins/blood ; Immunoglobulins/isolation & purification ; Reproducibility of Results ; Sepharose/chemistry ; Swine
    Chemical Substances Immunoglobulin A ; Immunoglobulin G ; Immunoglobulin M ; Immunoglobulins ; Sepharose (9012-36-6)
    Language English
    Publishing date 2006-07-28
    Publishing country Netherlands
    Document type Comparative Study ; Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1171488-8
    ISSN 1873-3778 ; 0021-9673
    ISSN (online) 1873-3778
    ISSN 0021-9673
    DOI 10.1016/j.chroma.2006.04.012
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

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  2. Article: Evaluation of immunoglobulin M and G capture enzyme-linked immunosorbent assay Panbio kits for diagnostic dengue infections.

    Vazquez, Susana / Hafner, Greg / Ruiz, Didye / Calzada, Naifi / Guzman, Maria G

    Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology

    2007  Volume 39, Issue 3, Page(s) 194–198

    Abstract: Background: Serological assays are widely used to confirm dengue virus infections and to differentiate between a primary and a secondary infection.: Objective: Two commercial dengue diagnostic kits, Panbio Dengue IgM Capture and Dengue IgG Capture ... ...

    Abstract Background: Serological assays are widely used to confirm dengue virus infections and to differentiate between a primary and a secondary infection.
    Objective: Two commercial dengue diagnostic kits, Panbio Dengue IgM Capture and Dengue IgG Capture ELISA (Brisbane, Australia) were evaluated.
    Study design: Three hundred and seventy-three serum samples were tested. Panel sera included samples from dengue confirmed cases (representing both primary and secondary infections), from non-dengue infectious diseases, and from healthy individuals. The MAC-ELISA/Dengue IPK was used for the detection of anti-dengue virus IgM antibody in the sera and the ELISA inhibition method (EIM/Dengue IPK) was used to differentiate between primary and secondary infections. Both these reference assays, which were previously developed in the Arbovirus Laboratory at the "Pedro Kouri" Tropical Medicine Institute, were employed as the gold standard.
    Results: High sensitivity (96.8%) and specificity (99.4%) were found with the commercial diagnostics when compared to the reference methods. Furthermore, high concordance 95.5% in classifying dengue infection types (primary or secondary infections) was observed.
    Conclusions: The Panbio Dengue IgM and IgG assays offer a good alternative for dengue diagnosis. They are easy to perform and results can be obtained in less than 3h.
    MeSH term(s) Adult ; Animals ; Antibodies, Viral/blood ; Cells, Cultured ; Culicidae ; Dengue/diagnosis ; Dengue/immunology ; Dengue/virology ; Dengue Virus/immunology ; Drosophila melanogaster ; Enzyme-Linked Immunosorbent Assay/methods ; Humans ; Immunoglobulin G/blood ; Immunoglobulin M/blood ; Reagent Kits, Diagnostic ; Sensitivity and Specificity
    Chemical Substances Antibodies, Viral ; Immunoglobulin G ; Immunoglobulin M ; Reagent Kits, Diagnostic
    Language English
    Publishing date 2007-07
    Publishing country Netherlands
    Document type Evaluation Studies ; Journal Article
    ZDB-ID 1446080-4
    ISSN 1873-5967 ; 1386-6532
    ISSN (online) 1873-5967
    ISSN 1386-6532
    DOI 10.1016/j.jcv.2007.04.003
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: A novel data-driven model for prediction and adaptive control of pH in raceway reactor for microalgae cultivation.

    Caparroz, M / Guzmán, J L / Berenguel, M / Acién, F G

    New biotechnology

    2024  Volume 82, Page(s) 1–13

    Abstract: This work proposes a new data-driven model to estimate and predict pH dynamics in freshwater raceway photobioreactors. The resulting model is based purely on data measured from the reactor and divides the pH dynamics into two different behaviors. One ... ...

    Abstract This work proposes a new data-driven model to estimate and predict pH dynamics in freshwater raceway photobioreactors. The resulting model is based purely on data measured from the reactor and divides the pH dynamics into two different behaviors. One behavior is described by the variation of pH due to the photosynthesis phenomena made by microalgae; and the other comes from the effect of CO
    Language English
    Publishing date 2024-04-12
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2400836-9
    ISSN 1876-4347 ; 1876-4347
    ISSN (online) 1876-4347
    ISSN 1876-4347
    DOI 10.1016/j.nbt.2024.04.001
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Book: On the M(B)/G/1 queue with different classes of customers

    Guzmán, Manuel Edgardo

    (TRITA-TTDS ; 8102)

    1981  

    Author's details Manuel Edgardo Guzmán
    Series title TRITA-TTDS ; 8102
    Language English
    Size 18 S., graph. Darst.
    Publisher Royal Inst. of Technology, Dept. of Telecommunication and Computer Systems
    Publishing place Stockholm
    Document type Book
    Database Library catalogue of the German National Library of Science and Technology (TIB), Hannover

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  6. Article ; Online: ConcreteXAI: A multivariate dataset for concrete strength prediction via deep-learning-based methods.

    Guzmán-Torres, José A / Domínguez-Mota, Francisco J / Alonso-Guzmán, Elia M / Tinoco-Guerrero, Gerardo / Martínez-Molina, Wilfrido

    Data in brief

    2024  Volume 53, Page(s) 110218

    Abstract: Concrete is a prominent construction material globally, owing to its reputed attributes such as robustness, endurance, optimal functionality, and adaptability. Formulating concrete mixtures poses a formidable challenge, mainly when introducing novel ... ...

    Abstract Concrete is a prominent construction material globally, owing to its reputed attributes such as robustness, endurance, optimal functionality, and adaptability. Formulating concrete mixtures poses a formidable challenge, mainly when introducing novel materials and additives and evaluating diverse design resistances. Recent methodologies for projecting concrete performance in fundamental aspects, including compressive strength, flexural strength, tensile strength, and durability (encompassing homogeneity, porosity, and internal structure), exist. However, actual approaches need more diversity in the materials and properties considered in their analyses. This dataset outlines the outcomes of an extensive 10-year laboratory investigation into concrete materials involving mechanical tests and non-destructive assessments within a comprehensive dataset denoted as ConcreteXAI. This dataset encompasses evaluations of mechanical performances and non-destructive tests. ConcreteXAI integrates a spectrum of analyzed mixtures comprising twelve distinct concrete formulations incorporating diverse additives and aggregate types. The dataset encompasses 18,480 data points, establishing itself as a cutting-edge resource for concrete analysis. ConcreteXAI acknowledges the influence of artificial intelligence techniques in various science fields. Emphatically, deep learning emerges as a precise methodology for analyzing and constructing predictive models. ConcreteXAI is designed to seamlessly integrate with deep learning models, enabling direct application of these models to predict or estimate desired attributes. Consequently, this dataset offers a resourceful avenue for researchers to develop high-quality prediction models for both mechanical and non-destructive tests on concrete elements, employing advanced deep learning techniques.
    Language English
    Publishing date 2024-02-20
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2786545-9
    ISSN 2352-3409 ; 2352-3409
    ISSN (online) 2352-3409
    ISSN 2352-3409
    DOI 10.1016/j.dib.2024.110218
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Conference proceedings ; Online: Optomechanical inertial sensors for geodesy

    Guzman, F.

    XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)

    2023  

    Abstract: ... which highlight their high sensitivity with acceleration noise floor nears 1x10 -11 m s -2 /√Hz. Such compact ... indicated that our system is seismically limited above 1 mHz. Noise floors in the order of 82 pico-g/√Hz ...

    Abstract We report on the progress of our novel low-frequency optomechanical inertial sensing technologies for gravimetry and space geodesy. Our technologies are designed to be compact, portable, and are comprised of monolithically fabricated mechanical resonators that incorporate compact and highly sensitive laser interferometric displacement sensors.Current laboratory prototypes have demonstrated mechanical quality factors Q of 4.77x10 5 , an mQ-product above 1200 kg, a fundamental mechanical resonance of 4.7 Hz, which highlight their high sensitivity with acceleration noise floor nears 1x10 -11 m s -2 /√Hz. Such compact systems are excellent candidates for future applications in gravimetry, geodesy, geophysics, and hydrology.A prototype packaging has been developed to reduce losses caused by typical mechanical mounts. We have conducted comparison measurements with commercial low-frequency systems to an excellent agreement. Recent measurements taken with the resonator mounted in this packaging atop a vibration isolation platform have indicated that our system is seismically limited above 1 mHz. Noise floors in the order of 82 pico-g/√Hz at 0.4 Hz has been demonstrated in our laboratory.We will present recent updates on our optomechanical inertial sensors, including up to date measurements of the resonator and interferometer sensitivity, as well as that of the combined system.
    Subject code 333
    Language English
    Publishing date 2023-07-11
    Publishing country de
    Document type Conference proceedings ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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  8. Article ; Online: Lipschütz ulcers after AstraZeneca COVID-19 vaccination.

    Bracho-Borro, Maria / Guzmán-Perera, Graciela / Magaña, Mario

    Anais brasileiros de dermatologia

    2023  Volume 98, Issue 5, Page(s) 699–701

    MeSH term(s) Humans ; COVID-19/prevention & control ; COVID-19 Vaccines/adverse effects ; Ulcer
    Chemical Substances COVID-19 Vaccines
    Language English
    Publishing date 2023-04-25
    Publishing country Spain
    Document type Case Reports
    ZDB-ID 433655-0
    ISSN 1806-4841 ; 0365-0596
    ISSN (online) 1806-4841
    ISSN 0365-0596
    DOI 10.1016/j.abd.2022.09.010
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 359: Show issues Location:
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    Zs.MO 344: Show issues

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  9. Article ; Online: Ternary system of sultamicillin tosylate with hydroxypropyl-β-cyclodextrin and L-arginine: susceptibility against methicillin-resistant

    Bolibol, Marvin / Guzman, Gerard de / De Guzman, Liza Marie

    Therapeutic delivery

    2023  Volume 13, Issue 12, Page(s) 561–575

    Abstract: Aim: ...

    Abstract Aim:
    MeSH term(s) Methicillin-Resistant Staphylococcus aureus ; 2-Hydroxypropyl-beta-cyclodextrin ; Spectroscopy, Fourier Transform Infrared ; Anti-Bacterial Agents ; Arginine
    Chemical Substances sultamicillin (65DT0ML581) ; 2-Hydroxypropyl-beta-cyclodextrin (1I96OHX6EK) ; Anti-Bacterial Agents ; Arginine (94ZLA3W45F)
    Language English
    Publishing date 2023-03-02
    Publishing country England
    Document type Journal Article
    ISSN 2041-6008
    ISSN (online) 2041-6008
    DOI 10.4155/tde-2022-0050
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Evaluation of succulent plants Echeveria elegans as a biomonitor of heavy metals and radionuclides.

    Ortiz-Oliveros, H B / Mendoza-Guzmán, M M / Zarazúa-Ortega, G / Lara-Almazán, N / Mestizo-Gutiérrez, S L / González-Ruíz, A

    Environmental research

    2024  Volume 251, Issue Pt 1, Page(s) 118611

    Abstract: This work evaluates the use of Echeveria elegans as a biomonitor of metals and radionuclides, using semi-urban soils as a study area. The study area is exposed to various trace elements of concern for various social groups in nearby localities. The ... ...

    Abstract This work evaluates the use of Echeveria elegans as a biomonitor of metals and radionuclides, using semi-urban soils as a study area. The study area is exposed to various trace elements of concern for various social groups in nearby localities. The quantification of metals and radionuclides was performed by X-ray fluorescence spectrometry and gamma spectrometry, respectively. Cumulative frequency distribution curves, descriptive statistics, and multivariate analysis were used to estimate the local geochemical baseline and identify geochemical and anthropogenic patterns of metals and radionuclides from topsoil and E. elegans. The evaluation of contaminants and the contribution of possible exposure routes (topsoil and atmospheric deposition) was performed with the enrichment factor (EF) and the relative concentration factor (CF
    Language English
    Publishing date 2024-03-05
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 205699-9
    ISSN 1096-0953 ; 0013-9351
    ISSN (online) 1096-0953
    ISSN 0013-9351
    DOI 10.1016/j.envres.2024.118611
    Database MEDical Literature Analysis and Retrieval System OnLINE

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