Portable low-cost autofluorescence analyzer for plankton and plastic detection

Wanderlingh, U.; Branca, C.; Vasi, Sebastiano

doi:10.1109/metrosea52177.2021.9611585

Cited by 1 publication

(2 citation statements)

References 12 publications

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“…The usage of these sensors in the literature varies, including applications such as measuring irradiance in agricultural (Kondratieva et al 4 ), medical (Megantari et al 5 ), biology (Wanderlingh et al 6 , McAllinden et al 7, Keppeler et al 8 ) or industrial (Terkesli et al 9 ) applications. Kondratieva 4 uses the AS726X sensor as a part of the control loop to measure the dose of light emitted by LED phytoirradiators used to ensure plant growth.…”

Section: Literature Reviewmentioning

confidence: 99%

“…As part of their research, they also evaluated the stability of AS7262 measurements in time versus the sensor (TCS3200) from another device (Minolta Fluoro-Lite Meter 451), confirming experimentally that the AS7262 produces more stable data. *email: valentin.voiculescu@upb.ro; phone: 0040 745685169 Wanderlingh et al 6 use the AS726X sensor as a low-cost option in a marine biology scenario. They propose an easy-touse portable device using both visible (AS7262) and near infrared -NIR (AS7263) sensors, used in conjunction with a Raspberry Pi 4 small board computer for continuous monitoring of sea water (plankton fluorescence).…”

Section: Literature Reviewmentioning

confidence: 99%

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Cost-effective platform to characterize light sources

Voiculescu

Marcu²,

Bîră³

2023

Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies XI

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This paper describes a low-cost system to measure the spectral characteristics of a given light source of unknown origin (without vendor-provided datasheets describing the light source properties). For this purpose, we consider using the AMS AS726X family of cost-effective light sensors, one of the latest generations of smart sensors. The data measured with these sensors is collected by a low-cost embedded system. To maintain the low-cost target, the embedded software is based on open-source code. We first validated the sensors using a set of light sources with known specifications and then extended the measurements using other light sources (including some of unknown origin) and validated the measurements with a higher-performance spectrometer.

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