Donato Luna Moreno

Dr. Donato Luna Moreno

orcid

Research Focus & Metrics

Academic Career Length

29Years (1998-Present)

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

Representative Publications

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1 March 2009 in Sensors and Actuators B: Chemical
Verified
Journal Article
Closed access
DMDavid Monzón-Hernández
David Monzón-Hernández
DMDonato Luna Moreno
Donato Luna Moreno
DMDalia Martínez-Escobar
Dalia Martínez-Escobar

1 September 2005 in Sensors and Actuators B: Chemical
Verified
Journal Article
Closed access
JVJoel Villatoro
Joel Villatoro
DMDonato Luna Moreno
Donato Luna Moreno
DMDavid Monzón-Hernández
David Monzón-Hernández

20 February 2004 in Applied Optics
Verified
Journal Article
Closed access
PDF file
DMDavid Monzón-Hernández
David Monzón-Hernández
JVJoel Villatoro
Joel Villatoro
DTDimas Talavera
Dimas Talavera
DMDonato Luna Moreno
Donato Luna Moreno
We report on an optical fiber surface plasmon resonance sensor that exhibits multiple resonance peaks. The sensor is based on a uniform-waist single-mode tapered fiber coated on one side with a thin metal layer. Owing to the asymmetry of the sensor structure, the different hybrid surface plasmon modes supported by the semicircular layer can be excited by the fundamental fiber mode. As a result, the sensor transmission spectrum exhibits several dips that depend on the taper waist diameter. The advantages of a plasmon resonance sensor with multiple dips are discussed.

13 January 2025 in Biosensors
Verified
Journal Article
Open access
PDF file
DRDenise Rivera
Denise Rivera
GQGabriela Elizabeth Quintanilla-Villanueva
Gabriela Elizabeth Quintanilla-Villanueva
DMDonato Luna Moreno
Donato Luna Moreno
AAARACELI SÁNCHEZ ALVAREZ
ARACELI SÁNCHEZ ALVAREZ
JRJose Rodriguez-Delgado
Jose Rodriguez-Delgado
MRMelissa Rodríguez-Delgado
Melissa Rodríguez-Delgado
Plastic pollution, particularly from microplastics (MPs) and nanoplastics (NPs), has become a critical environmental and health concern due to their widespread distribution, persistence, and potential toxicity. MPs and NPs originate from primary sources, such as cosmetic microspheres or synthetic fibers, and secondary fragmentation of larger plastics through environmental degradation. These particles, typically less than 5 mm, are found globally, from deep seabeds to human tissues, and are known to adsorb and release harmful pollutants, exacerbating ecological and health risks. Effective detection and quantification of MPs and NPs are essential for understanding and mitigating their impacts. Current analytical methods include physical and chemical techniques. Physical methods, such as optical and electron microscopy, provide morphological details but often lack specificity and are time-intensive. Chemical analyses, such as Fourier transform infrared (FTIR) and Raman spectroscopy, offer molecular specificity but face challenges with smaller particle sizes and complex matrices. Thermal analytical methods, including pyrolysis gas chromatography–mass spectrometry (Py-GC-MS), provide compositional insights but are destructive and limited in morphological analysis. Emerging (bio)sensing technologies show promise in addressing these challenges. Electrochemical biosensors offer cost-effective, portable, and sensitive platforms, leveraging principles such as voltammetry and impedance to detect MPs and their adsorbed pollutants. Plasmonic techniques, including surface plasmon resonance (SPR) and surface-enhanced Raman spectroscopy (SERS), provide high sensitivity and specificity through nanostructure-enhanced detection. Fluorescent biosensors utilizing microbial or enzymatic elements enable the real-time monitoring of plastic degradation products, such as terephthalic acid from polyethylene terephthalate (PET). Advancements in these innovative approaches pave the way for more accurate, scalable, and environmentally compatible detection solutions, contributing to improved monitoring and remediation strategies. This review highlights the potential of biosensors as advanced analytical methods, including a section on prospects that address the challenges that could lead to significant advancements in environmental monitoring, highlighting the necessity of testing the new sensing developments under real conditions (composition/matrix of the samples), which are often overlooked, as well as the study of peptides as a novel recognition element in microplastic sensing.

1 July 2007 in Sensors and Actuators B: Chemical
Verified
Journal Article
Closed access
DMDonato Luna Moreno
Donato Luna Moreno
DMDavid Monzón-Hernández
David Monzón-Hernández
JVJoel Villatoro
Joel Villatoro
GBGonçal Badenes
Gonçal Badenes

23 January 2019 in Sensors
Verified
Journal Article
Open access
PDF file
DMDonato Luna Moreno
Donato Luna Moreno
AAARACELI SÁNCHEZ ALVAREZ
ARACELI SÁNCHEZ ALVAREZ
IIIgnacio Islas-Flores
Ignacio Islas-Flores
BCBlondy Canto-Canche
Blondy Canto-Canche
MCMildred Carrillo-Pech
Mildred Carrillo-Pech
MRMelissa Rodríguez-Delgado
Melissa Rodríguez-Delgado
Black Sigatoka is a disease that occurs in banana plantations worldwide. This disease is caused by the hemibiotrophic fungus Pseudocercospora fijiensis, whose infection results in a significant reduction in both product quality and yield. Therefore, detection and identification in the early stages of this pathogen in plants could help minimize losses, as well as prevent the spread of the disease to neighboring cultures. To achieve this, a highly sensitive SPR immunosensor was developed to detect P. fijiensis in real samples of leaf extracts in early stages of the disease. A polyclonal antibody (anti-HF1), produced against HF1 (cell wall protein of P. fijiensis) was covalently immobilized on a gold-coated chip via a mixed self-assembled monolayer (SAM) of alkanethiols using the EDC/NHS method. The analytical parameters of the biosensor were established, obtaining a limit of detection of 11.7 µg mL−1, a sensitivity of 0.0021 units of reflectance per ng mL−1 and a linear response range for the antigen from 39.1 to 122 µg mL−1. No matrix effects were observed during the measurements of real leaf banana extracts by the immunosensor. To the best of our knowledge, this is the first research into the development of an SPR biosensor for the detection of P. fijiensis, which demonstrates its potential as an alternative analytical tool for in-field monitoring of black Sigatoka disease.