An open-source dual-beam spectrophotometer for citizen-science-based water quality monitoring

Feng, Jiansheng; Khakipoor, Banafsheh; May, Jacob; Mulford, Melissa; Davis, Jennifer; Siman, Kelly; Russell, G. A.; Smith, Adam W.; King, Hunter

doi:10.1016/j.ohx.2021.e00241

Cited by 6 publications

(6 citation statements)

References 10 publications

(10 reference statements)

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“…Some of these devices contain a source light as well as an electronic photosensor that receives the transmitted light and transform it to voltage levels ( Taha et al, 2017 ). Other devices project diffracted spectral images that are then captured and converted into absorbance values by analyzing pixel intensities at different wavelengths ( Feng et al, 2021 ). In the field of microbiology, other instruments have been recently developed to assess the bacterial density of cultures ( Jensen et al, 2015 ; Kutschera and Lamb, 2018 ; Sasidharan et al, 2018 ; Yallapragada et al, 2019 ; Loutfi et al, 2020 ).…”

Section: Discussionmentioning

confidence: 99%

ScanGrow: Deep Learning-Based Live Tracking of Bacterial Growth in Broth

Worth

Espina

2022

Front. Microbiol.

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Monitoring the growth of bacterial cultures is one of the most common techniques in microbiology. This is usually achieved by using expensive and bulky spectrophotometric plate readers which periodically measure the optical density of bacterial cultures during the incubation period. In this study, we present a completely novel way of obtaining bacterial growth curves based on the classification of scanned images of cultures rather than using spectrophotometric measurements. We trained a deep learning model with images of bacterial broths contained in microplates, and we integrated it into a custom-made software application that triggers a flatbed scanner to timely capture images, automatically processes the images, and represents all growth curves. The developed tool, ScanGrow, is presented as a low-cost and high-throughput alternative to plate readers, and it only requires a computer connected to a flatbed scanner and equipped with our open-source ScanGrow application. In addition, this application also assists in the pre-processing of data to create and evaluate new models, having the potential to facilitate many routine microbiological techniques.

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Section: Discussionmentioning

confidence: 99%

ScanGrow: Deep Learning-Based Live Tracking of Bacterial Growth in Broth

Worth

Espina

2022

Front. Microbiol.

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“…The smart buoy will be equipped with a spectrophotometer because it allows us to observe multiple parameters related to the water quality with a single device. This approach has been already explored in [6] where a low-cost, easy-to-use, do-it-yourself (DIY) spectrometer for measurement of a variety of relevant solute concentrations is proved to be accurateenough to offer a viable alternative to commercial solutions. In [7] the authors show how to use a spectrophotometer to detect heavy metals in water using colorimetric reagents paired with ultraviolet-visible light (UV-vis) spectrophotometry while [8] presents the design, use, and performance of an accurate, precise, and extremely affordable LED spectrophotometer for drinking water and other testing with limited resources.…”

Section: The Prototype For Laboratory Experimentsmentioning

confidence: 99%

Monitoring Water Quality with a Spectrophotometer: a Proof of Concept of a Smart Buoy

Bruzzese

Chatzigiannakis

Vitaletti

2022

2022 IEEE International Conference on Pervasive Computing and Communications Workshops and Other Affiliated Events (PerCom Work

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Marine fisheries and aquaculture are fundamental resources in the livelihood and development of many countries. Real-time monitoring of the environmental conditions of marine aquaculture allows targeted interventions to maintain the health of fish species and the marine environment.This work describes the design and first low-cost prototyping of a proof-of-concept of a smart buoy to monitor the quality of water in IoT deployments. The buoy is connected to the Internet by a LoRaWAN link that transmits data acquired by a spectrophotometer that in principle allows us with a single sensor to obtain multiple parameters on water quality. Our solution is aimed at those countries that, despite basing their economies on aquaculture, do not have sophisticated and expensive technologies.

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“…This well-established instrument is noteworthy for its demonstrated capabilities in a broad range of applications from sensing to diagnostics. For instance, nitrate, sulfide, and iron were detected using a chemical test kit in water quality assessment . The light absorbance of a water sample at wavelengths of 535.0, 550.0, and 660.0 nm was observed for nitrate, sulfide, and iron, respectively.…”

Section: Introductionmentioning

confidence: 99%

“…Once the signal is obtained, the software interpolates this signal based on the pixel number of the detector and creates a data plot as a function of wavelength. However, the spectrometer is usually bulky, complicated, and relatively expensive. ,− These disadvantages are key hurdles for adoption, particularly in a resource-limited setting. As a result, many research works were carried out to develop more affordable spectrometers.…”

Section: Introductionmentioning

confidence: 99%

“…For instance, nitrate, sulfide, and iron were detected using a chemical test kit in water quality assessment. 1 The light absorbance of a water sample at wavelengths of 535.0, 550.0, and 660.0 nm was observed for nitrate, sulfide, and iron, respectively. Apart from water quality assessment, the spectrometer can be applied to medical diagnostics as an enzyme-linked immunosorbent assay (ELISA) reader or analyzer.…”

Section: ■ Introductionmentioning

confidence: 99%

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A Low-Cost Dual-Beam Smartphone Visible Spectrometer

et al. 2023

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The optical spectrometer is a widely established and widely used scientific instrument for analyzing biochemical samples. However, it is expensive, bulky, and requires an external power source and a computer to operate, which makes it difficult to use in resourcelimited countries and in remote locations. Advancement in smartphone technology has led to the development of portable, low-cost smartphone-based spectrometers. However, the lack of smartphonebased software and automatic wavelength calibration results in irrelevant workloads for students within the time limit of the course. In addition, most smartphone spectrometers are only able to capture images. As a result, a computer becomes an essential tool for the student to process and analyze the sample spectrum. Unlike many other smartphone-based spectrometers, our developed device also provides a smartphone application for both Android and iOS platforms. Thus, measurement data and data plots are transferrable among smartphones and computers. In addition, the wavelength calibration is carried out automatically using an embedded reference white light LED by the application. Furthermore, the provided 3D-printed parts, part lists, and circuit board are included with an example of an iPhone 7 mount, as well as their assembly instructions. Our developed device features a sufficiently quantitative measurement for wavelength ranges from 411.2 to 700 nm. For the spectral resolution, our device achieved resolutions of 9.8, 13.4, and 21.7 nm at wavelengths of 405, 532, and 650 nm, respectively, when evaluated with an iPhone 7.

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An open-source dual-beam spectrophotometer for citizen-science-based water quality monitoring

Cited by 6 publications

References 10 publications

ScanGrow: Deep Learning-Based Live Tracking of Bacterial Growth in Broth

ScanGrow: Deep Learning-Based Live Tracking of Bacterial Growth in Broth

Monitoring Water Quality with a Spectrophotometer: a Proof of Concept of a Smart Buoy

A Low-Cost Dual-Beam Smartphone Visible Spectrometer

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