Development of a photoelectrochemical sensor for monitoring algal biomass (Chlorella vulgaris)

Jeon, Hyeon Jin; Choi, Yong‐Keun; Song, Kyung Guen; Lee, Sang Hyun; Yang, Yung‐Hun; Kim, Hyungsup; Kim, Sung-Hyun; Kumaran, Rangarajulu Senthil; Hong, Seok Won; Kim, Hyung Joo

doi:10.1016/j.snb.2013.05.026

Cited by 15 publications

(6 citation statements)

References 20 publications

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“…This study mentioned as priorities the design of innovative options, incentives for biomass-to-energy conversion in a short-term period, creation of a fuel hub to ensure the fuel supply of mills in a medium-term period, upgrade of ageing infrastructure in remote sites, and extension of connection lines. In the area of agricultural biomass for generation of energy, several kinds of sensors have been used to help the biomass monitoring in order to increase the quantity of biomass; in [46], it is presented as a technique based on amperometry that increases the reliability, rapidity, and automation of measurements for algal biomass determination. In the case of the energy that comes from digestion, presented in [47] is a system that includes electrical power supply that comes from anaerobic digestion biomass; this work consists of a device based on superconducting magnetic energy which serves as storage of the electrical energy; this device tries to overcome the blackout of energy and helps to know the quantity of demanded energy by the network when this demand increases.…”

Section: Introductionmentioning

confidence: 99%

Technology Roadmapping Architecture Based on Knowledge Management: Case Study for Improved Indigenous Coffee Production from Guerrero, Mexico

et al. 2019

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Having demonstrated its importance for economic and human developments, technological change is considered one of the biggest supports worldwide. Today, with the population increase, the inclusion of technology is considered the most appropriate way to reduce the impact of this challenge. Considering 171 indigenous coffee producers from Paraje Montero and Tierra Colorada from Guerrero, Mexico, the present study proposes technological routes for the indigenous coffee production chain and the inclusion of emerging technologies such as sensors, actuators, and processing devices basing on the requirements of the chain. During face-to-face sessions, questionaries, field visits, and literature review for knowledge management, the results expose the need of effective actions against diseases and the reduction of climate change, lack of infrastructure, old plantations, and lack of commercialization channels; for these and considering the requirement of greenhouse technology by indigenous coffee producers and following the labor value driver of the digital compass, the necessity of several kinds of sensors, technologies, and methodologies has been identified with high possibilities to be implemented by similar producers analyzed in this manuscript to help in solving the problems identified in this work. The combination of remote sensing, signal processing, and spectroscopy could be employed to explore mineralogical features of soil and help problems with fertilization; sensor modules to collect temperature, humidity, and light intensity data are a priority for greenhouse monitoring; electrochemical sensors and optical technologies could be of great help to detect the presence of diseases in coffee plants; and the installation of a greenhouse solar dryer is necessary to reduce the time of the sun drying process and protect the coffee cherry. These emerging technologies will help to improve the production of coffee. The study contributes to identify a technology roadmap proposing technological implements according to indigenous coffee production chain requirements and serves as support for future studies in indigenous regions.

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Section: Introductionmentioning

confidence: 99%

Technology Roadmapping Architecture Based on Knowledge Management: Case Study for Improved Indigenous Coffee Production from Guerrero, Mexico

et al. 2019

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“…To estimate algal growth, samples of algal broth were collected from the PBR, and the optical density (at 658 nm) and dry cell weight (DCW) were measured. The DCW was determined using a filtration method . The extracted TFA concentration in algal strains was determined using the fatty acid methyl ester (FAME) method .…”

Section: Methodsmentioning

confidence: 99%

Enhanced growth and total fatty acid production of microalgae under various lighting conditions induced by flashing light

Choi

Kim

Kumaran

et al. 2017

Engineering in Life Sciences

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Microalgae are gaining importance as a source of high‐value bioproducts. However, data regarding optimization of algal productivity via variation of environmental factors are lacking. Here, we evaluated a novel lighting method for the enhancement of biomass and total fatty acid (TFA) productivities during algal cultivation. We cultivated six different algal strains (Chlorella vulgaris KCTC AG10002, Acutodesmus obliquus KGE18, Uronema sp. KGE03, Micractinium reisseri KGE19, Fragilaria sp., and Spirogyra sp.) under various lighting conditions—continuous light (CL), light‐dark cycle (LD), and continuous dark (CD)—with or without additional flashing light. We monitored dry cell weight (DCW) and TFA concentrations during cultivation. For each algal strain, the growth rate showed markedly different responses to the various lighting modes. The growth rates of C. vulgaris KCTC AG10002 (1.34‐fold DCW increase, LD with flash), A. obliquus KGE18 (5.16‐fold DCW increase, LD with flash), Uronema sp. KGE03 (2.77‐fold DCW increase, CL with flash), and M. reisseri KGE19 (1.52‐fold DCW increase, CL with flash) markedly increased in response to flashing light. Additionally, in some algal strains cultivated under the LD mode, the flashing light treatment induced increased TFA concentrations (C. vulgaris, 1.19‐fold increase; A. obliquus, 2.59‐fold increase; and M. reisseri, 3.31‐fold increase). Phytohormone analysis of M. reisseri revealed increases in growth rate and TFA concentrations, associated with phytohormone induction via flashing light (e.g. 2.93‐fold increase in gibberellic acid); hence, flashing light can promote substantial alterations in algal metabolism.

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“…Although several studies have examined the electrochemical activity of cyanobacteria, their EET capability has been predominantly tested with redox active compounds (e. g. ferric ammonium citrate in BG11 medium [10] and ferricyanide [7b,11] ) or chemically modified electrodes (e. g. electrodes modified with polypyrrole, [10,12] osmium polymer, [11] and carbon nanotubes [13] ) potentially contributing to the power output of biophotovoltaics. Thus, the redox profile at the cyanobacteria/electrode interface has been masked by these compounds, preventing distinction of the cyanobacterial species [14] …”

Section: Figurementioning

confidence: 99%

Synechococcus and Other Bloom‐Forming Cyanobacteria Exhibit Unique Redox Signatures

et al. 2020

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Cyanobacteria form dense blooms that impair water quality. Although the impact of blooms on water quality largely differs depending on the species of cyanobacteria, it is challenging to distinguish cyanobacterial species with conventional sensors due to their similar physicochemical properties. Here, we conducted cyclic voltammetry to three major bloom‐forming cyanobacteria, Synechococcus sp., Microcystis aeruginosa, and Anabaena circinalis without addition of redox active compounds nor chemical modifications of the working electrode. These cyanobacteria exhibited redox peaks with distinct potentials from each other, in the range of +0.60 – +0.75 V vs SHE. Because these redox potentials hardly overlap with those of other environmental electroactive bacteria, those redox peaks may be used as indicators of the onset of a cyanobacterial bloom. Given that the photo‐responsive current correlated with the cell density of Synechococcus sp., electrochemical measurement would be a promising technique for a novel cyanobacterial quantification sensor, with in‐built ability to identify cyanobacterial species.

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Development of a photoelectrochemical sensor for monitoring algal biomass (Chlorella vulgaris)

Cited by 15 publications

References 20 publications

Technology Roadmapping Architecture Based on Knowledge Management: Case Study for Improved Indigenous Coffee Production from Guerrero, Mexico

Technology Roadmapping Architecture Based on Knowledge Management: Case Study for Improved Indigenous Coffee Production from Guerrero, Mexico

Enhanced growth and total fatty acid production of microalgae under various lighting conditions induced by flashing light

Synechococcus and Other Bloom‐Forming Cyanobacteria Exhibit Unique Redox Signatures

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