Orlando de la Rosa

Dr. Orlando de la Rosa

Autonomous University of Coahuila, Saltillo, Coahuila de Zaragoza, Mexico
+1
orcid

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 September 2019 in Trends in Food Science & Technology
Verified
Journal Article
Closed access
Orlando de la RosaOrlando de la Rosa
Orlando de la Rosa
Adriana Carolina Flores-GallegosAdriana Carolina Flores-Gallegos
Adriana Carolina Flores-Gallegos
DMDiana Muñíz-Marquez
Diana Muñíz-Marquez
Clarisse NobreClarisse Nobre
Clarisse Nobre
JCJuan C. Contreras-Esquivel
Juan C. Contreras-Esquivel
Cristobal N. AguilarCristobal N. Aguilar
Cristobal N. Aguilar

11 October 2023 in Biosensors
Verified
Journal Article
Open access
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HAHiram Martin Valenzuela Amaro
Hiram Martin Valenzuela Amaro
AAAlberto Aguayo-Acosta
Alberto Aguayo-Acosta
EMEdgar Meléndez-Sánchez
Edgar Meléndez-Sánchez
Orlando de la RosaOrlando de la Rosa
Orlando de la Rosa
Perla Guadalupe Vázquez OrtegaPerla Guadalupe Vázquez Ortega
Perla Guadalupe Vázquez Ortega
VSVictor Roberto Parra Sanchez
Victor Roberto Parra Sanchez
Food and waterborne illnesses are still a major concern in health and food safety areas. Every year, almost 0.42 million and 2.2 million deaths related to food and waterborne illness are reported worldwide, respectively. In foodborne pathogens, bacteria such as Salmonella, Shiga-toxin producer Escherichia coli, Campylobacter, and Listeria monocytogenes are considered to be high-concern pathogens. High-concern waterborne pathogens are Vibrio cholerae, leptospirosis, Schistosoma mansoni, and Schistosima japonicum, among others. Despite the major efforts of food and water quality control to monitor the presence of these pathogens of concern in these kinds of sources, foodborne and waterborne illness occurrence is still high globally. For these reasons, the development of novel and faster pathogen-detection methods applicable to real-time surveillance strategies are required. Methods based on biosensor devices have emerged as novel tools for faster detection of food and water pathogens, in contrast to traditional methods that are usually time-consuming and are unsuitable for large-scale monitoring. Biosensor devices can be summarized as devices that use biochemical reactions with a biorecognition section (isolated enzymes, antibodies, tissues, genetic materials, or aptamers) to detect pathogens. In most cases, biosensors are based on the correlation of electrical, thermal, or optical signals in the presence of pathogen biomarkers. The application of nano and molecular technologies allows the identification of pathogens in a faster and high-sensibility manner, at extremely low-pathogen concentrations. In fact, the integration of gold, silver, iron, and magnetic nanoparticles (NP) in biosensors has demonstrated an improvement in their detection functionality. The present review summarizes the principal application of nanomaterials and biosensor-based devices for the detection of pathogens in food and water samples. Additionally, it highlights the improvement of biosensor devices through nanomaterials. Nanomaterials offer unique advantages for pathogen detection. The nanoscale and high specific surface area allows for more effective interaction with pathogenic agents, enhancing the sensitivity and selectivity of the biosensors. Finally, biosensors’ capability to functionalize with specific molecules such as antibodies or nucleic acids facilitates the specific detection of the target pathogens.

1 January 2019
Verified
Book Chapter
Closed access
KRK. Nathiely Ramírez-Guzmán
K. Nathiely Ramírez-Guzmán
CTCristian Torres-León
Cristian Torres-León
GMGloria A. Martinez-Medina
Gloria A. Martinez-Medina
Orlando de la RosaOrlando de la Rosa
Orlando de la Rosa
AHAyerim Hernández-Almanza
Ayerim Hernández-Almanza
CACristóbal N. Aguilar
Cristóbal N. Aguilar

1 August 2020 in Biocatalysis and Agricultural Biotechnology
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Journal Article
Closed access
Orlando de la RosaOrlando de la Rosa
Orlando de la Rosa
DMDiana B. Múñiz-Marquez
Diana B. Múñiz-Marquez
JCJuan C. Contreras-Esquivel
Juan C. Contreras-Esquivel
JWJorge E. Wong-Paz
Jorge E. Wong-Paz
RRRaúl Rodríguez-Herrera
Raúl Rodríguez-Herrera
CACristóbal N. Aguilar
Cristóbal N. Aguilar

17 June 2022 in Foods
Verified
Journal Article
Open access
PDF file
Orlando de la RosaOrlando de la Rosa
Orlando de la Rosa
Adriana Carolina Flores-GallegosAdriana Carolina Flores-Gallegos
Adriana Carolina Flores-Gallegos
DMDiana Beatriz Muñiz-Márquez
Diana Beatriz Muñiz-Márquez
JCJuan Carlos Contreras-Esquivel
Juan Carlos Contreras-Esquivel
José TeixeiraJosé Teixeira
José Teixeira
Cristobal N. AguilarCristobal N. Aguilar
Cristobal N. Aguilar
Fructooligosaccharides (FOS) are usually synthesized with pure enzymes using highly concentrated sucrose solutions. In this work, low-cost aguamiel and molasses were explored as sucrose alternatives to produce FOS, via whole-cell fermentation, with an Aspergillus oryzae DIA-MF strain. FOS production process was optimized through a central composite experimental design, with two independent variables: initial sucrose concentration in a medium composed of aguamiel and molasses (AgMe), and inoculum concentration. The optimized process—165 g/L initial sucrose in AgMe (adjusted with concentrated molasses) and 1 × 107 spores/mL inoculum concentration—resulted in an FOS production of 119 ± 12 g/L and a yield of 0.64 ± 0.05 g FOS/g GFi. Among the FOSs produced were kestose, nystose, 1-fructofuranosyl-nystose, and potentially a novel trisaccharide produced by this strain. To reduce the content of mono- and disaccharides in the mixture, run a successive fermentation was run with two Saccharomyces cerevisiae strains. Fermentations run with S. cerevisiae S227 improved FOS purity in the mixture from 39 ± 3% to 61.0 ± 0.6% (w/w) after 16 h of fermentation. This study showed that agro-industrial wastes such as molasses with aguamiel are excellent alternatives as substrate sources for the production of prebiotic FOS, resulting in a lower-cost process.

31 August 2018
Verified
Book Chapter
Closed access
BPBrian Picazo
Brian Picazo
AFAdriana C. Flores-Gallegos
Adriana C. Flores-Gallegos
DMDiana B. Muñiz-Márquez
Diana B. Muñiz-Márquez
AFAbril Flores-Maltos
Abril Flores-Maltos
MMMariela R. Michel-Michel
Mariela R. Michel-Michel
Cristobal N. AguilarCristobal N. Aguilar
Cristobal N. Aguilar