Design of Optical Biological Sensor for Phycocyanin Parameters Measurement using Fluorescence Technique

Lee, Sung Hwa; Mariappan, Vinayagam; Won, Dong Chan; Ann, Myung-Suk; Yang, Seungyoun

doi:10.7236/ijasc.2016.5.2.73

Cited by 2 publications

(2 citation statements)

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“…36,37 PC is excited between 590 and 630 nm and emits between 650 and 660 nm. 33,38 This is sufficiently different from Chl-a 20,39,40 to allow selective detection. Thus, PC allows the detection of cyanobacteria even in mixed phytoplankton assemblages.…”

Section: ■ Introductionmentioning

confidence: 99%

“…Due to the low specificity of Chl- a , alternative fluorescent pigments have been proposed as selective cyanobacteria indicators. Phycocyanin (PC) has been the first option due to its high specificity to cyanobacteria (it is only present in this and few other species). , PC is excited between 590 and 630 nm and emits between 650 and 660 nm. , This is sufficiently different from Chl- a ,, to allow selective detection. Thus, PC allows the detection of cyanobacteria even in mixed phytoplankton assemblages. , Based on the latter, several PC fluorescence-based sensors have already been developed, such as the submersible field probes YSI 6600 and TriOS, ,, which can analyze cyanobacteria at different depth levels, or sensor systems with multiple fluorescence channels for more precise spectroscopic analysis. ,, Despite their selectivity even in real samples, the main drawback of all these systems is their limit of detection (LoD), typically above 10 3 cell·mL –1 , where the initial stage of the bloom already takes place.…”

Section: Introductionmentioning

confidence: 99%

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Integrated Photonic System for Early Warning of Cyanobacterial Blooms in Aquaponics

Ezenarro

Ackerman

Pelissier³

et al. 2020

Anal. Chem.

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Cyanobacterial blooms produce hazardous toxins, deplete oxygen, and secrete compounds that confer undesirable organoleptic properties to water. To prevent bloom appearance, the World Health Organization has established an alert level between 500 and 2000 cells·mL–1, beyond the capabilities of most optical sensors detecting the cyanobacteria fluorescent pigments. Flow cytometry, cell culturing, and microscopy may reach these detection limits, but they involve both bulky and expensive laboratory equipment or long and tedious protocols. Thus, no current technology allows fast, sensitive, and in situ detection of cyanobacteria. Here, we present a simple, user-friendly, low-cost, and portable photonic system for in situ detection of low cyanobacterial concentrations in water samples. The system integrates high-performance preconcentration elements and optical components for fluorescence measurement of specific cyanobacterial pigments, that is, phycocyanin. Phycocyanin has demonstrated to be more selective to cyanobacteria than other pigments, such as chlorophyll-a, and to present an excellent linear correlation with bacterial concentration from 102 to 104 cell·mL–1 (R 2 = 0.99). Additionally, the high performance of the preconcentration system leads to detection limits below 435 cells·mL–1 after 10 min in aquaponic water samples. Due to its simplicity, compactness, and sensitivity, we envision the current technology as a powerful tool for early warning and detection of low pathogen concentrations in water samples.

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