J 2018

Sensitive operation of enzyme-based biodevices by advanced signal processing

MAZURENKO, Stanislav; Šárka NEVOLOVÁ; Markéta KOTLÁNOVÁ; Jiří DAMBORSKÝ; Zbyněk PROKOP et al.

Základní údaje

Originální název

Sensitive operation of enzyme-based biodevices by advanced signal processing

Vydání

Plos one, San Francisco, Public Library of Science, 2018, 1932-6203

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10600 1.6 Biological sciences

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Odkazy

Impakt faktor

Impact factor: 2.776

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14310/18:00106487

Organizační jednotka

Přírodovědecká fakulta

EID Scopus

Klíčová slova anglicky

SPHINGOMONAS-PAUCIMOBILIS UT26; HALOALKANE DEHALOGENASE; BIOSENSORS; CALIBRATION; SENSORS; EQUATION; TRENDS; TOXINS
Změněno: 23. 4. 2024 14:22, Mgr. Michal Petr

Anotace

V originále

Analytical devices that combine sensitive biological component with a physicochemical detector hold a great potential for various applications, e.g., environmental monitoring, food analysis or medical diagnostics. Continuous efforts to develop inexpensive sensitive biodevices for detecting target substances typically focus on the design of biorecognition elements and their physical implementation, while the methods for processing signals generated by such devices have received far less attention. Here, we present fundamental considerations related to signal processing in biosensor design and investigate how undemanding signal treatment facilitates calibration and operation of enzyme-based biodevices. Our signal treatment approach was thoroughly validated with two model systems: (i) a biodevice for detecting chemical warfare agents and environmental pollutants based on the activity of haloalkane dehalogenase, with the sensitive range for bis(2-chloroethyl) ether of 0.01-0.8 mM and (ii) a biodevice for detecting hazardous pesticides based on the activity of y-hexachlorocyclohexane dehydrochlorinase with the sensitive range for y-hexachlorocyclohexane of 0.01-0.3 mM. We demonstrate that the advanced signal processing based on curve fitting enables precise quantification of parameters important for sensitive operation of enzyme-based biodevices, including: (i) automated exclusion of signal regions with substantial noise, (ii) derivation of calibration curves with significantly reduced error, (iii) shortening of the detection time, and (iv) reliable extrapolation of the signal to the initial conditions. The presented simple signal curve fitting supports rational design of optimal system setup by explicit and flexible quantification of its properties and will find a broad use in the development of sensitive and robust biodevices.

Návaznosti

CZ.02.1.01/0.0/0.0/16_013/0001761, interní kód MU
Název: RECETOX RI - OP VVV (Akronym: RECETOX RI)
Investor: Ministerstvo školství, mládeže a tělovýchovy ČR, RECETOX RI - OP VVV, PO 1 Posilování kapacit pro kvalitní výzkum
ED2.1.00/19.0382, projekt VaV
Název: CETOCOEN UPgrade
LM2015051, projekt VaV
Název: Centrum pro výzkum toxických látek v prostředí (Akronym: RECETOX RI)
Investor: Ministerstvo školství, mládeže a tělovýchovy ČR, Výzkumná infrastruktura RECETOX