U-Shaped Plastic Fiber Optic Sensor for Measuring Adulteration in Liquids via RGB Color Changes

Filoteo-Razo, J. D.; Vera-Duarte, O. X.; Estudillo-Ayala, J. M.; Hernández-García, J. C.; Jáuregui-Vázquez, D.; Martinez-Angulo, J. R.; Elizondo-Leal, Juan Carlos; Rojas-Laguna, R.

doi:10.1109/lsens.2021.3128291

Cited by 8 publications

(3 citation statements)

References 18 publications

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“…In U-shaped optical fibers, there is a section that is not covered by the cladding (sensing region) and comes in contact with the liquid. The EW generated at the interface of the optical fiber interacts with the surrounding medium (liquid in contact) [7]. The presence of this liquid in contact with the sensing region causes absorption of the EW, resulting in signal losses along the optical fiber.…”

Section: Methodsmentioning

confidence: 99%

Optoelectronic system for measuring the sugar content in citrus fruits

Ruiz-Colunga,

Filoteo-Razo,

Barron-Zambrano

et al. 2024

J. Phys.: Conf. Ser.

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The color of oranges originates from carotenoids, which are natural pigments ranging from yellow to red color and is indicative of the sugar level and degree of ripeness. During the degreening process, the fruit quality can deteriorate, which is manifested as insufficient ripeness and sugar (sucrose) content. Therefore, in this study, we have designed a low-cost, easy-to-use optoelectronic system to measure the sugar content in orange and lemon juice. The system consists of a U-shaped plastic optical fiber (POF) and a visible multispectral sensor. The device identifies variation in the absorption of the evanescent field of the POF when it comes in contact with orange juice. The response of the multispectral sensor in the wavelength range of 450–650 nm is digitally captured, improving the efficiency and accuracy of the measurements. To validate the multispectral sensor measurements, the sugar contents are compared with those obtained using a visible spectrum analyzer and refractometer.

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Section: Methodsmentioning

confidence: 99%

Optoelectronic system for measuring the sugar content in citrus fruits

Ruiz-Colunga,

Filoteo-Razo,

Barron-Zambrano

et al. 2024

J. Phys.: Conf. Ser.

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show abstract

“…U-shaped optical fibers include a section that is not covered by the cladding (sensing region) and comes into contact with the liquid. The EW generated at the interface of the optical fiber interacts with the surrounding medium (liquid in contact) 7 . The presence of this liquid in contact with the sensing region leads to the absorption of the EW, resulting in signal losses along the optical fiber.…”

Section: Methodsmentioning

confidence: 99%

Plastic fiber optic sensor for measuring the sugar content of Valencia oranges

Filoteo-Razo,

Martinez-Angulo,

Elizondo-Leal

et al. 2024

Light-Emitting Devices, Materials, and Applications XXVIII

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To ensure appropriate quality control during marketing, accurate assessment of sugar content in citrus fruits is essential. Additionally, it is important to limit sugar intake of people with medical conditions. In this study, we present a simplified and accurate approach for measuring sucrose content in Valencia oranges by using a low-cost optoelectronic system that we designed and fabricated. The proposed system comprises a plastic optical fiber (POF) integrated with a multispectral sensor for obtaining the visible spectrum of citrus juices. This integration enabled the detection of absorption changes in the evanescent field of the POF when contacted with the juice samples. The multispectral sensor digitally records the response, capturing wavelengths from 415-910 nm. The collected data are further processed and analyzed using an information management system. By incorporating these optical and electronic components, a compact and affordable automated instrument was fabricated that can potentially replace conventional laboratory equipment for determining the Brix sugar content of fruits.

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“…Grayscale is the projection on three channels of color image R (Red), G (Green), and B (Blue). As shown in Eq 1 , the specific gray value can be obtained using the weighted average method [ 12 ].…”

Section: Algorithm Principlementioning

confidence: 99%

The defect feature extraction of ultrasonic phased array detection based on adaptive region growth

Wang,

Li,

Zhang

et al. 2024

PLoS ONE

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An ultrasonic phased array defect extraction method based on adaptive region growth is proposed, aiming at problems such as difficulty in defect identification and extraction caused by noise interference and complex structure of the detected object during ultrasonic phased array detection. First, bilateral filtering and grayscale processing techniques are employed for the purpose of noise reduction and initial data processing. Following this, the maximum sound pressure within the designated focusing region serves as the seed point. An adaptive region iteration method is subsequently employed to execute automatic threshold capture and region growth. In addition, mathematical morphology is applied to extract the processed defect features. In the final stage, two sets of B-scan images depicting hole defects of varying sizes are utilized for experimental validation of the proposed algorithm’s effectiveness and applicability. The defect features extracted through this algorithm are then compared and analyzed alongside the histogram threshold method, Otsu method, K-means clustering algorithm, and a modified iterative method. The results reveal that the margin of error between the measured results and the actual defect sizes is less than 13%, representing a significant enhancement in the precision of defect feature extraction. Consequently, this method establishes a dependable foundation of data for subsequent tasks, such as defect localization and quantitative and qualitative analysis.

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U-Shaped Plastic Fiber Optic Sensor for Measuring Adulteration in Liquids via RGB Color Changes

Cited by 8 publications

References 18 publications

Optoelectronic system for measuring the sugar content in citrus fruits

Optoelectronic system for measuring the sugar content in citrus fruits

Plastic fiber optic sensor for measuring the sugar content of Valencia oranges

The defect feature extraction of ultrasonic phased array detection based on adaptive region growth

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