Investigation of Excitation Wavelength for Fluorescence Emission of Citrus Peels based on UV-VIS Spectra

Momin, Md. Abdul; Kondo, Naoshi; Kuramoto, Makoto; Ogawa, Yuichi; Yamamoto, Katsuhiro; Shiigi, Tomoo

doi:10.1016/s1881-8366(12)80008-5

Cited by 20 publications

(10 citation statements)

References 15 publications

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“…However, Momin et al [7] demonstrated that different cultivars of citrus fruits have different excitation wavelengths to produce UV induced fluorescence in the infected areas, which makes it difficult to create a system valid for all cases based only on this technology.…”

Section: Introductionmentioning

confidence: 99%

VIS/NIR hyperspectral imaging and N-way PLS-DA models for detection of decay lesions in citrus fruits

Folch-Fortuny

Prats-Montalbán

Cubero

et al. 2016

Chemometrics and Intelligent Laboratory Systems

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Please cite this article as: A. Folch-Fortuny, J.M. Prats-Montalbán, S. Cubero, J. Blasco, A. Ferrer, VIS/NIR hyperspectral imaging and N-way PLS-DA models for detection of decay lesions in citrus fruits, Chemometrics and Intelligent Laboratory Systems (2016), AbstractIn this work an N-way partial least squares regression discriminant analysis (NPLS-DA) methodology is developed to detect symptoms of disease caused by Penicillium digitatum in citrus fruits (green mould) using visible/near infrared (VIS/NIR) hyperspectral images.To build the discriminant model a set of oranges and mandarins was infected by the fungus and another set was infiltrated just with water for control purposes. A double crossvalidation strategy is used to validate the discriminant models. Finally, permutation testing is used to select a few bands offering the best correct classification rates in the validation set. The discriminant models developed here can be potentially implemented in a fruit packinghouse to detect infected citrus fruits at their arrival from the field with affordable multispectral (3-5 channels) cameras installed in the packinglines.

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Section: Introductionmentioning

confidence: 99%

VIS/NIR hyperspectral imaging and N-way PLS-DA models for detection of decay lesions in citrus fruits

Folch-Fortuny

Prats-Montalbán

Cubero

et al. 2016

Chemometrics and Intelligent Laboratory Systems

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“…Citrus peel contains a number of volatile oils [14]. These volatile oils can be easily dissolved in organic solvents [11]. In this experiment, the fluorescent substances were extracted using chloroform as a solvent (Wako Pure Chemical Industries, Osaka, Japan).…”

Section: Peel and Flesh Extractionmentioning

confidence: 99%

Monitoring of Fluorescence Characteristics of Satsuma Mandarin (Citrus unshiu Marc.) during the Maturation Period

et al. 2017

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Abstract:Monitoring the maturation process of Satsuma mandarin (Citrus unshiu Marc.) by determining the soluble solids (SS) and acid content non-destructively is needed. Fluorescence components potentially offer such means of accessing fruit maturity characteristics in the orchard. The aim of this study was to determine the potential of fluorescence spectroscopy for monitoring the stage of citrus maturity. Four major fluorescent components in peel and/or flesh were found including chlorophyll-a (excitation (Ex) 410 nm, emission (Em) 675 nm) and chlorophyll-b (Ex 460 nm, Em 650 nm),polymethoxyflavones (PMFs) (Ex 260 nm and 370 nm, Em 540 nm), coumarin (Ex 330 nm, Em 400 nm), and a tryptophan-like compound (Ex 260 nm, Em 330 nm). Our results indicated a significant (R 2 = 0.9554) logarithmic ratio between tryptophan-like compoundsExEm and chlorophyll-aExEm with the SS:acid ratio. Also, the log of the ratio of PMFs from the peel (ExExEm was significantly correlated with the SS:acid ratio (R 2 = 0.8207). While the latter correlation was not as strong as the former, it does demonstrate the opportunity to develop a non-destructive field measurement of fluorescent peel compounds as an indirect index of fruit maturity.

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“…However, Momin et al (2012) demonstrated that different cultivars have different excitation wavelengths to produce UV induced fluorescence in the rotten areas and therefore this information should be taken into account in any work using fluorescence to detect fruit decay in postharvest.…”

Section: Detection Of Decay Lesionsmentioning

confidence: 99%

Automated Systems Based on Machine Vision for Inspecting Citrus Fruits from the Field to Postharvest—a Review

Cubero

Lee

Albert

et al. 2016

Food Bioprocess Technol

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Computer vision systems are becoming a scientific but also a commercial tool for food quality assessment. In the field, these systems can be used to predict yield, as well as for robotic harvesting or the early detection of potentially dangerous diseases. In postharvest handling, it is mostly used for the automated inspection of the external quality of the fruits and for sorting them into commercial categories at very high speed. More recently, the use of hyperspectral imaging is allowing not only the detection of defects in the skin of the fruits but also their association to certain diseases of particular importance. In the research works that use this technology, wavelengths that play a significant role in detecting some of these dangerous diseases are found, leading to the development of multispectral imaging systems that can be used in industry. This article reviews recent works that use colour and non-standard computer vision systems for the automated inspection of citrus. It explains the different technologies available to acquire the images and their use for the non-destructive inspection of internal and external features of these fruits. Particular attention is paid to inspection for the early detection of some dangerous diseases like citrus canker, black spot, decay or citrus Huanglongbing.

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Investigation of Excitation Wavelength for Fluorescence Emission of Citrus Peels based on UV-VIS Spectra

Cited by 20 publications

References 15 publications

VIS/NIR hyperspectral imaging and N-way PLS-DA models for detection of decay lesions in citrus fruits

VIS/NIR hyperspectral imaging and N-way PLS-DA models for detection of decay lesions in citrus fruits

Monitoring of Fluorescence Characteristics of Satsuma Mandarin (Citrus unshiu Marc.) during the Maturation Period

Automated Systems Based on Machine Vision for Inspecting Citrus Fruits from the Field to Postharvest—a Review

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