Review done thanks to the support of the DeLIVER H2020-MSCA-ITN-2017-Action”Innovative Training Networks” – Grant agreement number: 766181
Author: Alessandra Dellaquila*, PhD candidate alessandra.dellaquila@elvesys.com
*corresponding author: Elvesys SAS, 172 Rue de Charonne 75011 Paris
Suitable detection techniques are required to be coupled to microfluidic technology in order to analyze experiment outcomes in a sensitive and scalable way. The most common methods are optical detection techniques, electrochemical detection, mechanical analysis, spectroscopy methods (Raman spectroscopy, NMR spectroscopy) and mass spectrometry (MS) [1][2][3]. This review represents a brief overview of the imaging-based detection techniques and systems for microfluidics and a final mention of the latest and most innovative methods.
Several classifications of optical detection techniques can be done based on the optical method, the imaging systems or the presence or not of lenses [3][4]. Briefly, detection systems can be divided into off-chip (or free space systems)[5], in which detection components (light source, mirror and detector) are not integrated within the microfluidic device and light propagates in air, and integrated (on-chip) devices [6][7]. Optofluidic technology originates from integration of micro-optics and microfluidics [8]. Lenseless imaging can be performed through lens-free techniques [9][10]. Furthermore, emerging imaging techniques use nanoparticle labels and nanoengineered materials for optical detection [4].
The use of bulk systems such as microscopes and interferometers is still widespread, thus microfluidics has been widely coupled to bright-field, phase-contrast, confocal and DIC microscopy [2][5] as well as interferometers [11]. Besides optical detection, also chemical imaging can be performed, usually by ATR-FTIR spectroscopy methods [12]. Optical detection is the dominant detection technique due to instrumentations availability and the ease to couple the systems to microfluidic platforms [13], however this devices are difficult to miniaturize and show reduced sensitivity due to short optical path lengths [4]. Also because of optics rapid development, optical detection provides nowadays for use of LEDs, lasers, diodes as light sources, microlenses, waveguides and optical fibers for detection and PMTs, CCDs, and CMOS as sensors [7].
Figure 2. Use of inverted microscope and PMT detector to perform microchip electrophoresis in single red blood cells analysis[20].
In on-chip imaging systems, optical and optoelectronic components are fully integrated within the microfluidic platform [1]. The main advantages of these systems in comparison with off-chip devices are operator-independence [6], increased portability, sensitivity, integration and the ability to tune the optical properties [14]. Furthermore, on-chip imaging can be performed through lens-free techniques such as shadow imaging or digital inline holography [9][15].
The following table reports the most common imaging techniques. Based on the analytes, these techniques can be used for detection in analytical biochemistry (detection of proteins, cytometry, enzyme kinetics), POC diagnostics, cell biology, immunoassays as well as in screening applications and fluids manipulation[2][13][16]. Their application is not limited to the healthcare field but it is also extended to industrial and environmental areas.
Table 1. List of the most diffused optical techniques, their operating principle and characteristics [4][6] [7].
Commercial LEDs and miniaturized diode lasers as light sources have been widely used in microfluidics setup since their availability and low cost while organic LEDs (OLEDs) and dye lasers are the most widely used optofluidic light sources in current literature because the ease to be fully integrated within microfluidic systems and their versatility [13].
Figure 3. Use of embedded optical fibers for fluorescent measurements in a proteins immunoassay [13].
A standard and diffused approach is to use optical fibers, that can both transmit and detect light, are easy to come by and suitable for combination with other optical components. Absorbance, fluorescence and interferometry measurements can be improved by introduction of microlenses and waveguides. Waveguides can be classified as evanescent wave-based, such as liquid-core waveguides (LCWs) or interference based, as in the case of photonic crystals ARROWs detectors [6].
Figure 4. Polymer microlens for focusing and scanning [21].
Optical detection can be performed by using a wide range of different detectors; the conventional ones are PMTs, CCD sensors, where CCDs allow also to perform multiplexing [4]. Integrated detectors are usually photodiodes (silicon or organic-OPDs) and CMOS sensors, that also permit lens-free imaging.
As the increasing demand for cheap, automated, robust and portable platforms for a wide range of applications [17], sensitive and scalable optical detectors are required. As described by Myers et al., a new class of imaging detectors can be identified in nano-engineered probes, such as quantum dots (QDs), nanoparticles and biosensors [4]. Interestingly, development of smartphone-based microfluidic platforms enables to move towards fast, low-cost and simple analysis by using the smartphone camera as both light source and detector [18]. Moreover, efforts have been made to develop platforms with imaging systems based on high-speed optical technology [19] and nanoscopy to go beyond the spatial and temporal limits of conventional optical detection methods.
Figure 5. Schematic fluorescent image and emission spectra of QDs for immunosensing application [4].
Abbreviations: ARROW, antiresonant reflecting optical waveguides; CCD, charge-coupled device, CMOS, complementary metal-oxide-semiconductor; LCW, liquid-core waveguide; LED, light-emitting diode; LEDIF, LED-induce fluorescence LIF, laser-induced fluorescence; OPD, organic photodiode; PC, photonic crystal; PMT photomultiplier tube; POC, point-of-care; SERS, surface enhanced Raman spectroscopy; SPR surface plasmon resonance.
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