Multispectral fluorescence imaging for detection of bovine faeces on Romaine lettuce and baby spinach leaves

Lee, Hoyoung; Everard, Colm; Kang, Sun Moon; Cho, Byoung‐Kwan; Chao, Kuanglin; Chan, Diane E.; Kim, Moon S.

doi:10.1016/j.biosystemseng.2014.08.019

Cited by 17 publications

(14 citation statements)

References 20 publications

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“…For example, hyperspectral fluorescence imaging showed great potential for detecting cow fecal contamination spots on apples [28][29][30], cantaloupes [31] and tomatoes [32] and was found to be more sensitive than reflectance imaging. Moreover, recent studies include hyperspectral fluorescence imaging on green leaves with high concentrations of chlorophyll a, such as romaine lettuce and baby spinach, and a two-band ratio method was determined for distinguishing fecal contamination spots on leafy greens because the emission peaks from bovine fecal matter (near 670 nm) and green plant leaves (near 685 nm) occur in close proximity to the same visible spectral region [33][34][35]. This rapid screening method using fluorescence imaging can potentially be used in situ to detect fecal matter in soils and manure compost samples and to enhance the efficacies of soil and compost sampling operations.…”

Section: Introductionmentioning

confidence: 99%

Potential Application of Fluorescence Imaging for Assessing Fecal Contamination of Soil and Compost Maturity

Cho

Lee

Kim³

et al. 2016

Applied Sciences

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Pathogenic microorganisms can lead to serious outbreaks of foodborne illnesses, particularly if fresh produce becomes contaminated and then happens to be inappropriately handled in a manner that can incubate pathogens. Pathogenic microbial contamination of produce can occur through a variety of pathways, such as from the excrement of domesticated and wild animals, biological soil amendment, agricultural water, worker health and hygiene, and field tools used during growth and harvest. The use of mature manure compost and preventative control of fecal contamination from wildlife and livestock are subject to safety standards to minimize the risk of foodborne illness associated with produce. However, in a field production environment, neither traces of animal feces nor the degree of maturity of manure compost can be identified by the naked eye. In this study, we investigated hyperspectral fluorescence imaging techniques to characterize fecal samples from bovine, swine, poultry, and sheep species, and to determine feasibilities for both detecting the presence of animal feces as well as identifying the species origin of the feces in mixtures of soil and feces. In addition, the imaging techniques were evaluated for assessing the maturity of manure compost. The animal feces exhibited dynamic and unique fluorescence emission features that allowed for the detection of the presence of feces and showed that identification of the species origin of fecal matter present in soil-feces mixtures is feasible. Furthermore, the results indicate that using simple single-band fluorescence imaging at the fluorescence emission maximum for animal feces, simpler than full-spectrum hyperspectral fluorescence imaging, can be used to assess the maturity of manure compost.

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Section: Introductionmentioning

confidence: 99%

Potential Application of Fluorescence Imaging for Assessing Fecal Contamination of Soil and Compost Maturity

Cho

Lee

Kim³

et al. 2016

Applied Sciences

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“…Another algorithm using different wavelengths (660 and 692 nm) was developed by Kang et al (2011), allowing the detection of faecal contamination spots on the surface of romaine lettuce and baby spinach leaves. Recently, this algorithm has been modified and separated into two independent band ratios very focused and specialized on each application: romaine lettuce leaves (R666/R680) and baby spinach leaves (R661/R680) (Lee et al, 2014).…”

Section: Siripatrawan Et Al (2011) Developed a Rapid Methods For Detementioning

confidence: 99%

“…It produces spectral data, generally in the range of VIS-NIR, from each spatial position of the product studied. This technique generates a huge amount of information that can be related to many characteristics of the product, such as firmness (Mendoza et al, 2011a, Cen et al, 2012, soluble solids content (SSC) (Mendoza et al, 2011b;Leiva-Valenzuela et al, 2012), maturity (Lleó et al, 2011;HerreroLangreo et al, 2011), external defects (Cho et al, 2013;, faecal contamination (Lee et al, 2014;Kang et al, 2011), microbial or insect infestation (Gómez-Sanchis et al, 2013;Lu and Ariana, 2013), and so on. Hyperspectral imaging was widely employed for quality determination in fruits and vegetables, but there is not so much research focused on using this technology for quality inspection in RTU leafy vegetables.…”

Section: Problem Statementmentioning

confidence: 99%

“…Many works suggested that hyperspectral fluorescence imaging has better capability of detection of traces of faecal spots than hyperspectral reflectance imaging, although the cost and stability of the excitation laser for fluorescence emission remain the questions for practical implementation (Liu et al, 2007). Faecal contamination has been detected in many fruits and vegetables using hyperspectral imaging systems (mainly in the range of 320 -800 nm), such in apple Yang et al, 2012a and, leafy vegetables (Lee et al, 2014;Everard et al, 2014), melon (Vargas et al, 2005), onion and tomato (Yang et al, 2012c).…”

Section: Microbial Contamination and Insect Inspectionmentioning

confidence: 99%

“…As shown, there are slight spectral differences on the behaviour of each leafy vegetable. Lee et al (2014) tried to develop a common model for detecting bovine faeces on both Romaine lettuce and baby spinach leaves. Correlation analysis was used to select the most significant waveband pairs for two-band ratio and difference methods in distinguishing contaminated and uncontaminated leaf areas.…”

Section: Data Processingmentioning

confidence: 99%

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Hyperspectral image applied to determine quality parameters in leafy vegetables

Lara¹,

Ángel²

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MASTER IN AGRO-ENGINEERING CO-SUPERVISOR: BELÉN DIEZMA IGLESIAS CO-SUPERVISOR: LOURDES LLEÓ GARCÍA MADRID, 2016He nacido hoy de madrugada, viví AGRADECIMIENTOS -ACKNOWLEDGEMENTSDesde que comencé este reto que ha sido la tesis doctoral, muchas cosas han cambiado. No ha sido un camino fácil. Muchas horas de esfuerzo y dedicación. Cambios que han puesto patas arriba mis metas y aspiraciones. Tener que reinventarse, volver a empezar, adaptarse a los cambios… Por suerte, no estoy solo en el camino. Muchas personas me lo han demostrado en este tiempo y me gustaría agradecérselo en estas líneas.Quisiera dar las gracias de forma muy especial a mis tutoras, Belén Diezma Iglesias y Lourdes Lleó García, por toda la ayuda prestada a lo largo de estos años. Por su supervisión, apoyo y empuje. Para mí han sido más que tutoras, amigas, y su empuje y ánimo han sido determinantes para que hoy pueda escribir este párrafo. Gracias de corazón y ojalá podamos seguir colaborando en el futuro.Special thanks also to Jean Michel Roger for his unconditional support and technical advice in this research, and also for his assistance during my stay in CEMAGREF, now IRSTEA, Montpellier (France). It is always a great pleasure working with him.A todas las personas que componen el grupo de investigación LPF-TAGRALIA. Me he sentido muy a gusto trabajando con vosotros y en los momentos que hemos compartido. Ojalá hubieran podido ser muchos más. En especial, quisiera agradecer su ayuda y apoyo a Margarita Ruiz-Altisent y a Pilar Barreiro Elorza, siempre dispuestas a compartir su conocimiento. Podéis contar conmigo cuando lo necesitéis.Al Ministerio de Ciencia e Innovación (MICINN) que ha financiado los trabajos de investigación llevados a cabo en esta tesis doctoral con los proyectos Multihort (AGL2008-05666-C02-01) y QualityLeaf (AGL2013-48529-R), junto con el proyecto Durasfrut II (AL11-P(I+D)-06) de la Universidad Politécnica de Madrid.A María Isabel Gil y Yolanda Garrido, del Centro de Edafología y Biología Aplicada del Segura, perteneciente al Consejo Superior de Investigaciones Científicas (CEBAS-CSIC), por su colaboración y ayuda en la generación de muestras y en la interpretación de resultados de una parte fundamental de este trabajo.A mis antiguos compañeros de la Escuela de Ingeniería Técnica Agrícola que se preocuparon por mí y me apoyaron en momentos muy difíciles. En especial, me gustaría dar las gracias a las profesoras Eva Cristina Correa Hernando y Virginia Díaz Barcos, que se volcaron en ayudarme en aquellos momentos y, gracias a ellas, pude encontrar pronto un nuevo reto profesional. Os estaré siempre agradecido.A mi familia. A mis padres y hermanos. A los amigos que han sido conscientes de este duro camino y se han preocupado por mí, dándome ánimos. A Devin Townsend por haber sido la banda sonora de esta Tesis Doctoral.A mi mujer, Laura, porque sus pasos han sido mi inspiración para decidirme a cumplir este reto. Todo llega y, no me cabe duda, nuestro trabajo también tendrá su recompensa.A Alicia, porque aún no lo sabe, pero...

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Process analytical technologies in food industry – challenges and benefits: A status report and recommendations

Hitzmann

Hauselmann

Niemoeller

et al. 2015

Biotechnology Journal

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Multispectral fluorescence imaging for detection of bovine faeces on Romaine lettuce and baby spinach leaves

Cited by 17 publications

References 20 publications

Potential Application of Fluorescence Imaging for Assessing Fecal Contamination of Soil and Compost Maturity

Potential Application of Fluorescence Imaging for Assessing Fecal Contamination of Soil and Compost Maturity

Hyperspectral image applied to determine quality parameters in leafy vegetables

Process analytical technologies in food industry – challenges and benefits: A status report and recommendations

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