A Resazurin Based Bio Sensor for Detection of Organic Pollutants in Water ^†

Abstract

With the objective of water analysis, a microsystem was developed, by using Resazurin molecule as an indirect bio sensor. The detection principle consists to monitor optically the oxygen consumption of E. Coli bacteria towards their metabolism in presence of organic pollutants. Thus, aiming on Glucose detection, a concentration-dependent inhibition effect on oxygen consumption rate was evidenced in the [0–0.41 mM] range of organic pollutants.

1. Introduction

Assessment of water quality has become an important environmental issue during the last years. Industrial waste is known to have a severe impact on living microorganisms. One of the key parameters that translate the quality of water is the ‘BOD’ (biochemical oxygen demand) parameter. Its value is based on the evaluation of the dissolved oxygen used by microorganisms as bacteria to degrade the organic pollutants [1]. It is therefore a major challenge to monitor their different quantities. Normalized methods are currently performed with heavy equipment in dedicated laboratories [2]. Therefore it is important to develop a new approach based on microsystems technologies that allows a rapid feedback at lower cost. Biosensors and miniaturized microsystems have already demonstrated a wide set of advantages [3,4]. In this study, a Glass/PDMS/Resazurin-based chip has been developed to monitor bacteria metabolism, detect organic pollutants and indirectly conclude about oxygen rate ‘bacteria consumption. The complete system is planned to integrate eight microwells having different types of bacteria, and connected to an optical measurement system.

2. Biosensors and Experimental Protocol

2.1. Principles

The viability of our bacteria in presence of different Glucose concentrations is estimated through the use of a Resazurin Blue dye [5,6,7]. It reflects the bacteria respiration related to organic pollutants degradation; the process can be quantified by evaluating the emitted fluorescence signal.

The Resazurin is reduces by diaphorase in presence of NADH to a highly fluorescent molecule “Resorufin” (Equation (1)).

$$\mathit{R}\mathit{e}\mathit{s}\mathit{a}\mathit{z}\mathit{u}\mathit{r}\mathit{i}\mathit{n} \mathbf{\left(}{\mathit{C}}_{\mathbf{12}}{\mathit{H}}_{\mathbf{7}}\mathit{N}{\mathit{O}}_{\mathbf{4}}\mathbf{\right)}\stackrel{\mathit{D}\mathit{i}\mathit{a}\mathit{p}\mathit{h}\mathit{o}\mathit{r}\mathit{a}\mathit{s}\mathit{e}}{\mathbf{\to }}\mathit{R}\mathit{e}\mathit{s}\mathit{o}\mathit{r}\mathit{u}\mathit{f}\mathit{i}\mathit{n}\mathbf{\left(}{\mathit{C}}_{\mathbf{12}}{\mathit{H}}_{\mathbf{7}}\mathit{N}{\mathit{O}}_{\mathbf{3}}\mathbf{\right)}$$

(1)

$$\mathit{G}\mathit{l}\mathit{u}\mathit{c}\mathit{o}\mathit{s}\mathit{e} \mathbf{\left(}{\mathit{C}}_{\mathbf{6}}{\mathit{H}}_{\mathbf{12}}{\mathit{O}}_{\mathbf{6}}\mathbf{\right)}\mathbf{+}\mathbf{6} {\mathit{O}}_{\mathbf{2}}\stackrel{\mathit{B}\mathit{i}\mathit{o}\mathit{c}\mathit{h}\mathit{e}\mathit{m}\mathit{i}\mathit{c}\mathit{a}\mathit{l} \mathit{R}\mathit{e}\mathit{a}\mathit{c}\mathit{t}\mathit{i}\mathit{o}\mathit{n}}{\mathbf{\to }} \mathbf{6} \mathit{C}{\mathit{O}}_2\mathbf{+}\mathbf{6}{\mathit{H}}_{\mathbf{2}}\mathit{O}$$

(2)

Resazurin is an electron acceptor in the biodegradation reaction of an organic molecule, such as Glucose in the Equation (2).

2.2. Experimental Protocol

A colony of E. Coli bacteria was grown aerobically with stirring at 37 °C during 12 h in 5 cm³ Luria Bertani (LB) medium. The bacteria population is controlled and adjusted by optical density (measured by a Fisherbrand-Digital colorimeter). A second bacteria culture has started for two hours; the optical density of bacteria was adjusted to be 0.25: it corresponds to a concentration of 2 × 10⁸ bact/mL. After culture, bacteria were washed three times with magnesium sulphate (MgSO₄). The E. Coli strains were maintained in an M9 medium with Resazurin and different Glucose concentrations mimicking organic pollutants; it is injected with a pipet in the microfluidic chambers prior to measurement.

2.3. Design and Technological Biochip Process

As depicted in Figure 1, the biosensor was designed as an Eight-well chip. Chambers were filled up with the water sample mixed with the solution containing bacteria. The chip was then connected to measurement system for optical readout.

The devices were fabricated by using PDMS and Glass materials: this choice is based on technological feasibility and biocompatibility; it is also complies with optical detection by its low auto fluorescence.

The microfluidic chip is 24 mm wide and 74 mm long and contains 8 oval shaped 24 μL wells. Micro chambers dimensions were specified according to the optical system requirements.

The manufacturing process is detailed in Figure 2. Firstly, a SU8 mold was obtained by pattering a 500 μm-thick SU8 photoresist layer. The PDMS microfluidic chip was then molded following a standard soft lithography process and bonded to a glass substrate.

2.4. Measurement System

The optical readout setup is shown in Figure 3 [8]. A LED module (OSRAM LTN91E) is used to excite the Resazurin at 560 nm and a photodiode module (Texas Instrument OPT301) is used to detect Resorufin fluorescence. This latter one is connected to a data acquisition system and a network analyzer to collect data. Experiments were performed in a dark room at 30 °C.

3. Results and Discussion

Measurements were done over five hours with a periodicity of 10 min, with 20 mA as LED excitation current. The fluorescence integration time has been set at 100 ms. As explained earlier, the variation of fluorescence signal illustrates the respiratory activity of bacteria. The curves presented in Figure 4a show the difference in signal fluorescence related to glucose concentration.

It can be observed that for the first 90 min, the signal is progressing with different rates related to Glucose concentrations. After two hours of measurement, a plateau is reached where the impact of Glucose can be clearly observed. Over 75 mg/L of Glucose concentration, the signal is saturated. As presented in Figure 4b, our sensor has a sensitivity of 0.193 V/mM.

4. Conclusions

In this work, a microsystem approach has been used to detect different glucose concentrations, mimicking hence organic pollutants.

Despite partial uncertainties related to the porosity of the PDMS when the measurement duration is longer than three hours, we have demonstrated that this approach is suitable for a concentration range of organic carbon varying from 10 to 75 mg/L with a sensitivity of 0.193 V/mM. These first results demonstrate that the proposed chip biosensor can follows the change in respiratory activity induced by organic pollutants and reflected through a modification in oxygen consumption rate. It can be therefore an efficient indicator of water quality.

Nevertheless, further studies should be conducted to still improve detection properties while optimizing the oxygen diffusion, material of chip and measures on site and online.