Visible Aquaphotomics Spectrophotometry for Aquaculture Systems

Bozhynov, Vladyslav; Souček, Pavel; Bárta, Antonín; Urbanová, Pavla; Bekkozhayeva, Dinara

doi:10.1007/978-3-319-78723-7_9

Cited by 9 publications

(5 citation statements)

References 8 publications

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“…The sensor S1223, whose accuracy was previously studied, was chosen for the analysis of the samples [ 29 , 31 ]. The tests carried out revealed that the most accurate results were obtained when the sensor ( Figure 1 a, right) was as close as possible to the sample without touching it, and the light source ( Figure 1 a, left) [ 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 ] was at a distance of about 23.77 mm with regard to the test tube. All samples were stored in standard 12 mm × 12 mm × 50 mm plastic test tubes of the SEOH brand [ 41 ], designed for spectrophotometry purposes.…”

Section: Methodsmentioning

confidence: 99%

“…Deploying spectroscopic-based sensors throughout the sewerage system to monitor the pollution load in real time requires an enormous amount of equipment that must therefore meet the requirement of being cost-effective. The literature already describes the availability of compact and low-cost UV–Vis spectrophotometers to monitor WWTP processes [ 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 ]. In addition, the installation of storm water storage and sedimentation tanks is usually economically unacceptable, thus a monitoring system to optimize the management of the sewer network is the most cost-effective and, probably, the most ecological variant as well [ 16 ].…”

Section: Introductionmentioning

confidence: 99%

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Wastewater Quality Estimation through Spectrophotometry-Based Statistical Models

Carreres-Prieto

García

Cerdan

et al. 2020

Sensors

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Local administrations are increasingly demanding real-time continuous monitoring of pollution in the sanitation system to improve and optimize its operation, to comply with EU environmental policies and to reach European Green Deal targets. The present work shows a full-scale Wastewater Treatment Plant field-sampling campaign to estimate COD, BOD5, TSS, P, TN and NO3−N in both influent and effluent, in the absence of pre-treatment or chemicals addition to the samples, resulting in a reduction of the duration and cost of analysis. Different regression models were developed to estimate the pollution load of sewage systems from the spectral response of wastewater samples measured at 380–700 nm through multivariate linear regressions and machine learning genetic algorithms. The tests carried out concluded that the models calculated by means of genetic algorithms can estimate the levels of five of the pollutants under study (COD, BOD5, TSS, TN and NO3−N), including both raw and treated wastewater, with an error rate below 4%. In the case of the multilinear regression models, these are limited to raw water and the estimate is limited to COD and TSS, with less than a 0.5% error rate.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Wastewater Quality Estimation through Spectrophotometry-Based Statistical Models

Carreres-Prieto

García

Cerdan

et al. 2020

Sensors

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show abstract

“…A portable RGB diode might be employed for the on-site evaluation of nitrite and iron in river waters nutrients [23]. The results of visible spectrophotometry in the nearinfrared region (NIR) with an RGB diode and a 360-to 740-nm spectrophotometer were used as a standard value when characterizing parameters, such as the ammonia concentration and electrical conductivity values [24].…”

Section: Introductionmentioning

confidence: 99%

Developing an Automated Spectrophotometer with RGB LED and Light Sensor Using Arduino Microcontroller

Cha,

Lee

2024

JIRMEPS

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This research used RGB LED (Red Green Blue Light Emission Diode), LDR (Light Dependent Resistant) sensors, 3D printed sampling cartridge, and Arduino Mega to create a spectrophotometer with automation software to select wavelength, calculate calibration parameters, and report the concentration of the materials being studied. Spectrophotometers are finding applications across many fields, including clinical laboratories, pharmaceuticals, molecular biology, biochemistry, and even the medical realm. This study assembled an Arduino mega system coupled with software for the automatic selection of best-fit color light, calibration curve, and actual concentration interpolation processes. Dilution solutions from multiple chemical materials were evaluated to examine their linearity of calibration curves. Our study demonstrated that the tested chemical samples revealed a significant regression coefficient of up to 0.9945 for serial dilution solutions. Relative concentrations were measured with remarkable precision, exhibiting less than 5.0 % error compared to a commercial spectrophotometer. These findings highlight the viability of the RGB spectrophotometer and emphasize its potential with the promise of further refinement in development.

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“…In the case of wastewater, a portable RGB diode was utilized for the on-site determination of nitrite and iron in river waters [ 30 ]. The results of visible spectrophotometry in the near infrared region (NIR) using an RGB diode and a 360- to 740-nm spectrophotometer were compared when characterizing parameters, such as the ammonia concentration and electrical conductivity values [ 31 ].…”

Section: Introductionmentioning

confidence: 99%

Performing Calibration of Transmittance by Single RGB-LED within the Visible Spectrum

Carreres-Prieto

García

Cerdan

et al. 2020

Sensors

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Spectrophotometry has proven to be an effective non-invasive technique for the characterization of the pollution load of sewer systems, enabling compliance with new environmental protection regulations. This type of equipment has costs and an energy consumption which make it difficult to place it inside a sewer network for real-time and massive monitoring. These shortcomings are mainly due to the use of incandescent lamps to generate the working spectrum as they often require the use of optical elements, such as diffraction gratings, to work. The search for viable alternatives to incandescent lamps is key to the development of portable equipment that is cheaper and with a lower consumption that can be used in different points of the sewer network. This research work achieved the following results in terms of the measured samples: First, the development a calibration procedure that enables the use of RGB-LED technology as a viable alternative to incandescent lamps, within the range of 510 to 645 nm, with high accuracy. Secondly, demonstration of a simple method to model the transmittance value of a specific wavelength without the need for optical elements, achieving a cost-effective equipment. Thirdly, it provides a simple method to obtain the transmittance based on the combination of RGB colors. Finally its viability is demonstrated for the spectral analysis of wastewater.

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Visible Aquaphotomics Spectrophotometry for Aquaculture Systems

Cited by 9 publications

References 8 publications

Wastewater Quality Estimation through Spectrophotometry-Based Statistical Models

Wastewater Quality Estimation through Spectrophotometry-Based Statistical Models

Developing an Automated Spectrophotometer with RGB LED and Light Sensor Using Arduino Microcontroller

Performing Calibration of Transmittance by Single RGB-LED within the Visible Spectrum

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