Hyperspectral image processing for the identification and quantification of lentiviral particles in fluid samples

Gómez-González, Emilio; Fernández‐Muñoz, Beatriz; Barriga‐Rivera, Alejandro; Navas-Garcia, Jose Manuel; Fernandez-Lizaranzu, Isabel; Munoz-Gonzalez, Francisco Javier; Giráldez, Rubén Parrilla; Requena-Lancharro, Desirée; Guerrero-Claro, Manuel; Gil-Gamboa, Pedro; Rosell‐Valle, Cristina; Gómez-González, Carmen; Mayorga-Buiza, María José; Martín-López, María; Muñoz, Olga; Martı́n, Juan Carlos Gómez; López, María Isabel; Aceituno-Castro, Jesus; Perales-Esteve, Manuel A.; Puppo-Moreno, Antonio; García-Cozar, Francisco; Olvera-Collantes, Lucia; Santos-Trigo, Silvia de los; Sánchez‐Pernaute, Rosario; Padillo-Ruíz, Javier; Márquez-Rivas, Javier

doi:10.1038/s41598-021-95756-3

Cited by 7 publications

(19 citation statements)

References 32 publications

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“…The lower classification accuracies obtained when applying the calibration models built from macroscopic VNIR or combined VNIR-SWIR data to the second test set indicate potential model overfitting (especially for the SVM model) and a lack of discrimination ability based on the mean spectra. These results can be compared to a recent study in which it was shown that VNIR spectral imaging could be used to identify and quantify the presence of lentiviral particles in dried fluid samples 15 and to previous work on VNIR microscopic imaging for the classification of live bacterial cells 31 .…”

Section: Resultsmentioning

confidence: 92%

“…Of particular note is a study on the use of VNIR macroscopic imaging for the classification of colonies of pathogenic bacteria related to urinary tract infections, cultured on blood agar 14 , in which a variety of chemometric approaches were evaluated to classify colonies at the colony level. More recently, spectral imaging has been developed for the identification and quantification of lentiviral particles in fluid samples 15 and for primary screening at the point-of-care of SARS-CoV-2 16 .…”

Section: Introductionmentioning

confidence: 99%

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Exploring the identification of multiple bacteria on stainless steel using multi-scale spectral imaging from microscopic to macroscopic

Herrero-Langreo

Lamba

et al. 2022

Sci Rep

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This work investigates non-contact reflectance spectral imaging techniques, i.e. microscopic Fourier transform infrared (FTIR) imaging, macroscopic visible-near infrared (VNIR), and shortwave infrared (SWIR) spectral imaging, for the identification of bacteria on stainless steel. Spectral images of two Gram-positive (GP) bacteria (Bacillus subtilis (BS) and Lactobacillus plantarum (LP)), and three Gram-negative (GN) bacteria (Escherichia coli (EC), Cronobacter sakazakii (CS), and Pseudomonas fluorescens (PF)), were collected from dried suspensions of bacterial cells dropped onto stainless steel surfaces. Through the use of multiple independent biological replicates for model validation and testing, FTIR reflectance spectral imaging was found to provide excellent GP/GN classification accuracy (> 96%), while the fused VNIR-SWIR data yielded classification accuracy exceeding 80% when applied to the independent test sets. However, classification within gram type was far less reliable, with lower accuracies for classification within the GP (< 75%) and GN (≤ 51%) species when calibration models were applied to the independent test sets, underlining the importance of independent model validation when dealing with samples of high biological variability.

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Section: Resultsmentioning

confidence: 92%

Section: Introductionmentioning

confidence: 99%

Exploring the identification of multiple bacteria on stainless steel using multi-scale spectral imaging from microscopic to macroscopic

Herrero-Langreo

Lamba

et al. 2022

Sci Rep

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“…Geng et al [61] state that the agri-food industry has a large amount of waste generation industry and requires a comprehensive strategy for recycled and reused waste [62]. The products and materials from the agri-food industry can be recycled and can be reused [63], but internal and external stakeholder participation is required for waste collection and adoption of CE principles. This could result in social and economic advantages in developed or developing nations and create an opportunity to reduce environmental effects [64][65][66][67].…”

Section: Ce Principles Encircle Economic and Environmental Performancementioning

confidence: 99%

Stakeholder Pressure Engaged with Circular Economy Principles and Economic and Environmental Performance

et al. 2022

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The study aims to investigate the impacts of internal and external stakeholder pressures on the adoption of circular economy (CE) principles. The study explores the primary barriers to and causes (external or internal stakeholder pressures) of CE’s transition across Mexico and explores the effects of stakeholder pressures (internal and external) on the adoption of CE principles on economic and environmental performance. For this, data were collected from 433 respondents using a structured questionnaire. For analysis, the study used the PLS-SEM technique to examine internal and external stakeholders as barriers and motivators of economic and environmental performance through CE principles. Both the structural model and the measurement model were assessed. As well as mediation analysis, the direct and indirect effects were determined. The study found that economic (β = 0.178, p = 0.000) and environmental performance (β = 0.233, p = 0.000) is affected by most external stakeholders through the adoption of circular economy principles. Although the internal stakeholders don’t affect the environmental performance (β = 0.040, p = 0.492), with the adoption of circular economy principles mediating the relationship, internal stakeholders encourage environmental performance (β = 0.201, p = 0.000). The study motivates the public, non-governmental organisations (NGOs) and the government to adopt CE principles for the achievement of economic and environmental performance and participation in the sustainable development agenda.

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“…They range from the detection of the Zika virus in mosquitoes fed with infected human blood using infra-red spectroscopy [29] to the detection of hepatitis B and C viruses [30] and Dengue [31] in human samples using Raman and fluorescence spectroscopy. Most recent efforts aim to detect SARS-CoV-2 models [32] and the SARS-CoV-2 virus [33] , [34] , [35] , [36] .…”

Section: Introductionmentioning

confidence: 99%

Polarimetric imaging for the detection of synthetic models of SARS-CoV-2: A proof of concept

Gómez-González¹,

Muñoz²,

Gómez-Martín³

et al. 2023

Journal of Quantitative Spectroscopy and Radiative Transfer

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Hyperspectral image processing for the identification and quantification of lentiviral particles in fluid samples

Cited by 7 publications

References 32 publications

Exploring the identification of multiple bacteria on stainless steel using multi-scale spectral imaging from microscopic to macroscopic

Exploring the identification of multiple bacteria on stainless steel using multi-scale spectral imaging from microscopic to macroscopic

Stakeholder Pressure Engaged with Circular Economy Principles and Economic and Environmental Performance

Polarimetric imaging for the detection of synthetic models of SARS-CoV-2: A proof of concept

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