Abstract
In vitro cytotoxicity testing is essential in the pharmaceutical and environmental industry to study the effects of potential harmful compounds for human health. Classical assays present several disadvantages: they are commonly based on live-death labelling, are highly time consuming and/or require skilled personnel to be performed. The current trend is to reduce the number of required cells and the time during the analysis, while increasing the screening capability and the accuracy and sensitivity of the assays, aiming single cell resolution. Microfabrication and surface engineering are enabling novel approaches for cytotoxicity assessment, offering high sensitivity and the possibility of automation in order to minimize user intervention. This review aims to overview the different microtechnology approaches available in this field, focusing on the novel developments for high-throughput, dynamic and real time screening of cytotoxic compounds.
Introduction
In the last decades, remarkable advancements have been made in the field of microtechnology to improve analytical processes in biology, through miniaturization, for biosensing DNA (; Zhang et al., 2010) and protein arrays (; Ramachandran et al., 2008; ; ), on-chip electrophoresis (; Ou, et al., 2019), microimmunoassays (Riahi et al., 2016; ), microfluidic cell sorting (Shields et al., 2015; Vaidyanathan et al., 2018) and for cellular membrane modelling (; Strulson and Maurer, 2011; ), among others (; Sackmann, et al., 2014). In fact, microtechnology enables the precise control of the topography and the surface chemistry, leading to engineered platforms for the study of cellular processes or biosensing and, at the same time, bringing advantages such as time saving, reduced costs and working space, automation of the processes, increased sensitivity and reduced volumes of the required reagents (Wurm et al., 2010; ).
Cytotoxicity assays are crucial in basic research, material science, environmental analysis, pharmaceutical industry and also, in the development of anticancer therapies, where the understanding of the resistance of cancer cells to new therapies is of major importance. Fluorescent and colorimetric assays are the most widely used methods for cytotoxicity assessment (Stoddart, 2011). There are many fluorescent dyes in the market for the measurement of cell viability, whose working principle varies from dye exclusion assays (penetrating the cellular membrane of death cells, staining them), DNA condensation-based assays (which emit fluorescence when they bind nucleic acid molecules) and assays monitoring a metabolic function (Ramirez et al., 2010; Stoddart, 2011). Fluorescent dyes are popular because they are sensitive and provide an easy readout by fluorescence or optical microscopy. Besides, flow cytometry is a well stablished technique for the assessment of cellular toxicity, which combined with some of the previously mentioned alive/dead staining, enables the performance of highly sensitive analysis of cellular viability with single cell resolution (). Since fluorescence gives a semi-quantitative analogic signal and many fluorescent dyes are compatible with single cell analysis, they are often combined with flow cytometry to obtain absolute and real quantification of alive and dead cells within a population. Besides the noteworthy resolution and efficacy of flow cytometry, it requires trained personnel to perform it, as well as staining procedures and manual handling, which take time and increase the possibility of human errors. Furthermore, flow cytometry does not permit real-time monitoring (). Therefore, miniaturized systems that reduce manual handling procedures and facilitate fast and easy measurements of cellular viability are promising alternatives to fight the current drawbacks in cytotoxicity assessment, such as the manual intervention, use of labels and the lack of real time information or monitoring.
Nowadays, the large variety of microfabrication techniques leads to the manufacturing of microsystems of many different natures. All the miniaturized platforms for cytotoxicity testing can be usually combined with traditional cellular viability assays, resulting on assays with the same working principle of the traditional staining protocols for the signalling of alive and dead cells, but with improved performance. This is due to the improvements that microtechnology brings in terms of real-time monitoring capability, increased sensitivity, reduced times for the cytotoxicity assessment, decreased volumes of the required reagents and thus, produces a lower cost per analysis. Also, thanks to their small dimensions, it opens the door to multiplexed and multisampling analysis, increasing the yield in the performed protocols (Wang et al., 2007; Sugiura et al., 2008). Furthermore, alternative working principles for the assessment of cytotoxicity are now available due to the sensitivity gained by working at the microscale.
This review aims to summarize the state of the art of the microtechnology used in cytotoxicity tests, and to discuss the novelty that microfabrication techniques and materials bring to this field of research. In this work, we aspire to build a bridge between microfabrication, material science and cytotoxicity, highlighting the advantages brought to the field. In order to do that, the most common microfabrication techniques, microsystems and materials for cytotoxicity will be first explained. Then, the different types of micro analytical platforms existing for cytotoxicity assessment will be comprehensively reviewed (Figure 1).
FIGURE 1
Microfabrication Techniques Used in Cytotoxicity
Microfabrication techniques were originally developed for the microelectronics industry, specifically for the manufacturing of microelectromechanical systems (MEMs), making possible the integration of sensors to develop fully functional microdevices. Due to the high precision and resolution of the features achieved by these techniques, they soon became useful for the control of tissues and cells at the microscale, becoming attractive for biosensing, leading to the development of BioMEMs (). The biocompatibility of the materials used in bio-applications is crucial, e.g., the microdevices, in order to avoid any cellular toxic response. Therefore, micromachining for BioMEMs requires adaptations of the fabrication processes and/or the materials used for device fabrication in order to guarantee cellular viability ().
At the microscale, any small perturbation on the flow or a high density of adhered cells can cause huge stress to them, resulting on exhaustion of nutrients or even migration, which can be misunderstood as a cellular response to the toxic (Wang et al., 2007). These phenomena can be avoided through microfabrication; on one hand, inducing physical cell adhesion control by patterning small microwells on polymeric materials (Vajrala et al., 2019; Zhang et al., 2019) or on C- () and on U-shaped (Wang et al., 2007) microsieves in the culturing chambers. On the other hand, cell adhesion can be chemically controlled with micropatterns of proteins (; ) or hydrophilic-hydrophobic sites (Nath et al., 2004; Zhang et al., 2007), modulating cell adhesion by enhancing cell affinity for specific areas, keeping them comfortably located. These methods control cell adhesion density and homogeneity of the pattern. Moreover, in the case of C-shaped microsieves, the flow within the chamber is also slowed down, reducing shear stress in cells (Wang et al., 2007), making the device more appropriate for cell culture.
Sotf-Lithography
Photolithography, a lithographic process that uses optical methods for the printing of features, is the most used technique to make integrated circuits, traditionally on rigid surfaces (). In particular, the development of soft-lithography, which derives from photolithography and serves to replicate structures from rigid molds -like the ones made by photolithography- on elastomeric or flexible materials, made a huge breakthrough in the manufacturing of BioMEMs. It opened a range of possibilities to use microstructured elastomeric materials, more suitable to keep cellular comfort and to be closer to the mimicking of cellular environment, (Xia and Whitesides, 1998).
The most common material in soft-lithography is polydimethylsiloxane (PDMS), which allows for the fabrication of devices by fast molding techniques, featuring resolutions down to nanometer scale. Also, due to the deformability of this elastomeric material, it facilitates leak-proof fluidic connections as well as integration of valves and other fluidic components. It can be covalently bonded to another PDMS piece or glass surface by a simple plasma oxidation step, resulting on the generation of leaking free, well-sealed devices. Moreover, PDMS is biocompatible, transparent () and non fluorescent (Piruska et al., 2005) therefore, suitable for cell applications.
Due to the high resolution of photolithography, the location of cells can be accurately controlled, and the pattern can be precisely transferred to PDMS. The cell positioning capability of PDMS molds has been demonstrated and used for cytotoxicity assessment using U-shaped microsieves, with minimum separation of 8 μm, patterned within culturing chambers (Figures 2A). These features induced low flow regions and a good distribution of cells along the chamber to obtain cellular monolayers with adequate microenvironment (Wang et al., 2007). In the mentioned work, the percentage of cellular death in response to five toxins (digitonin, saponin, CoCl2, NiCl2 and acrolein) was obtained when using Live/Death staining thanks to an adequate cell positioning. Similar idea was used by Mo et al., who combined a micropillar array for uniform cell positioning with a precisely controlled, low flow-rate gradient to reduce the shear stress to human induced pluripotent stem cells (HiPSC) derived neurospheres, and obtain reliable responses against riluzole drug (Mo et al., 2020).
FIGURE 2
Soft-lithography is the most popular technique to fabricate gradient generators in microdevices. They generate a gradient in the composition of a solution, like, in this case, the toxic compound to be tested. Thanks to this PDMS gradient generating devices, several works have demonstrated that High-Throughput (HTP) toxicity analysis of specific compounds can be simultaneously carried out, at different concentrations, on chip, for cytotoxicity assessment (
PDMS has been the most commonly used material for the fabrication of prototypes during the last decade but it presents some drawbacks such as absortion of small molecules and high gas permeability, thus there is a demand to fabricate microfluidic devices made of other polymers. As an example, Nguyen et al. reported a hybrid polymeric microfluidic device for cytotoxicity testing, made of poly(methyl methacrylate) with integrated polyethylene terephthalate (Nguyen et al., 2019). The hybrid device was fabricated by milling machine, and was successfully used for cytotoxicity assessment, showing more reliable results than conventional PDMS devices, due to the poly(methyl methacrylate) natural impermeability to small molecules.
Electrode Patterning
Electrode patterning has been one of the most used microfabrication techniques for the monitoring of cytotoxicity responses from the emergence of microtechnology in this field, and it is usually based on additive (metal deposition, insulation), semi-additive (photolithography) and subtractive (etching) processes to fabricate the whole functional electric circuit. The integration or deposition of electrodes on PDMS is challenging (
For instance, there are a family of cytotoxicity tests based on gold microelectrode arrays named as xCELLigence Real Time Cell Analyzer (RTCA), which perform continuous monitoring of cytotoxicity by electrical impedance (
In another work, gold Interdigitated Electrode Structures were fabricated on glass by lithographic techniques, sealed with a PDMS upper part to create a cell culture chamber (
Furthermore, due to the resolution of photolithography, surface gold microsensors can be patterned even for the positioning of single cells. For instance
On the other hand, electrobiofabrication implies the use of electrode signals to specifically pattern electroactive polymers on the electrodes, which in comparison to traditional electrode functionalization strategies simplifies the fabrication of the devices, as demonstrated by Shang et al. (2018). Authors functionalized gold microelectrodes with a bio-based redox capacitor film, which enabled the in situ polymerization of chitosan, a redox-active polymer that amplifies the signal from an electron transfer. The system transduced molecular signals into electronic outputs, which allowed the quantification of cell viability of Caco-2 cells in presence of Triton X-100. Results were compared to the ones obtained by a live/dead fluorescent viability kit. The platform showed high sensitivity to measure molecular interactions by chronocoulometry and correlate them with cellular death. Carbon nanotubes are also promising materials for electrode manufacturing due to their high electrical conductivity, chemical stability and good mechanical properties. Aligned carbon nanotubes have been combined with surface electrode patterning techniques to fabricate sensitive floating surface electrodes. These novel electrodes became efficient tools for the electrophysiological monitoring of cells for cytotoxicity assessment (Ta et al., 2014;
3D Printing
3D printing technology was initially developed for rapid prototyping of devices, but soon, due to the improvements provided in precision, resolution, and repeatability, it became a promising technique for industrial production. Usually, traditional bio-MEM fabrication techniques, e.g., electrode patterning and soft lithography (
For instance, ultra-high resolution Multijet 3D printing uses UV light to polymerize the photoresist, which is deposited in tiny droplets by the printer to obtain highly complex and well-defined features. Sweet et al. used this technique to fabricate a microdevice, which integrated a network of interconnected 3D enclosed microchannels of 750 µm diameter, for the screening of bacterial cells’ resistance (Sweet et al., 2017). Due to the design and translucency of the material, UV spectroscopy based absorbance measurements were used to in situ determine bacterial cytotoxic response to antibiotics.
Some cytotoxicity platforms reported single 3D printed components such as a modular microfluidic cartridge to regulate reagent volumes during the analysis (
Platforms for Cytotoxicity Assessment by Microtechnology
Microfluidics Combined With Traditional Assays
Cytotoxicity assays are typically based on the colorimetric or fluorescent staining of cells for the determination of cell viability or for metabolite detection in order to identify specific events (Ramirez et al., 2010; Stoddart, 2011). These assays are known to be sensitive and effective but, when combined with microtechnology, multiplexing and reduced manual handling and analysis times, among others, become a reality.
Droplet Microfluidics
Droplet microfluidics provides HTP analysis in cell biology by the generation of microscale droplets through immiscible multiphase flows, resulting on picoliter-scale and monodisperse emulsion droplets. This technique leads to the miniaturization of the bioassays, avoiding capillary effects and evaporation, working as individual bio-microreactors. Moreover, the possibility of using this droplets with non-adherent cells is a reality (
Boedicker et al. generated monodispersed aqueous droplets on chip, and tested the viability of bacterial cells in response to different antibiotics (
The HTP formation of droplets has also been reported on a PDMS nanowell array fabricated by soft lithography. Coupled with another PDMS holding layer for the containment of the oil, the droplets were formed when a cell suspension was added through a capillary, creating the droplets with the cells encapsulated (
On the other hand, surface engineering techniques are tools that enable de patterning of droplets on surface, at specific locations. Geyer et al. used UV-initiated photografting of a hydrophilic polymer whose hydrophilicity was inverted by UV through a photomask to create superhydrophilic-superhydrophobic micropatterns on nanoporous polymer films, with drastic difference in wettability to spontaneously create an array of separated aqueous microdroplets (
FIGURE 3

Cytotoxicity assessment microsystems with fluorescent label based detection. (A) Droplet based platform showing cells after 18 h in the presence of doxorubicin drug (red) and calcein stained cells for viability test (green); the scale bar in bottom picture is 3 mm. Adapted from (Popova et al., 2015). (B) Schematic of the stepwise gradient operation on chip, signalling valves with colors, red for the open ones and pink for the closed ones. The fluidic channels are fabricated in a ladder shape, each colored channel represents a different solution. Adapted from (
Gradient Based Microsystems
The formation of gradients in microfluidic devices has applications in the field of cytotoxicity testing since gradient generators enable the screening of different concentrations of a certain toxic compound at a single step (
A multiple dilution method was used in a PDMS microfluidic device to improve the creation of a concentration gradient solution, avoiding distinct parts of the cell experiencing different drug concentrations during the test (
3D printing technology opens the possibility of designing all kind of microfluidic circuitry, including the fabrication of advanced gradients (Sochol et al., 2016). Microsystems capable of generating a gradient of three (nitrofurantoin, tetracycline and trimethoprim) (Sweet et al., 2017) or four (doxorubicin, celecoxib, 5-fluorouracil, and cyclophosphamide) (
Multiplexing
Miniaturization offers multiplex analysis on chip and it has been reported for many bio-applications, increasing the number of analysis with single cell resolution and so cytotoxicity studies (
Droplet microfluidics provides with a different approach to perform simultaneous cell viability assessment, testing different concentrations of doxorubicin and daunorubicin drugs. Based on a hydrophilic/hydrophobic patterning, droplet arrays, working as independent bioreactors, can be individually loaded with the toxic compound of interest or concentrations of the toxic, which leads to HTP and even multiplexing analysis of cytotoxicity using fluorescent live/death assays (Popova et al., 2015; Popova et al., 2017).
Another multiplexing approach relies on the analysis of two different events in parallel, instead of measuring the cellular response to different toxic compounds or concentrations. A microsystem was reported for the characterisation of drug metabolites and for the analysis of their cytotoxic response (
Multifunctional materials deserve special attention for multiplexing. In particular, hydrogels are widely applied as nanocarriers for drug delivery purposes due to their stimuli-responsive behavior. Nanocarriers are easily captured by cells, so, their combination with a sensing functional material could lead to the simultaneous drug release and monitoring of the process (Wu et al., 2010). For instance, Wang and co-workers developed hybrid microspheres made of pH responsive acrylic acid and temperature responsive poly-N-isopropilacrylamide, combined with SiO2 photonic crystal microspheres, which are dielectric structures with an energy band that favors the movement of photons (Wang et al., 2018). Temperature and pH responsiveness of these hybrid and inverse opal hydrogel photonic crystal microspheres, enabled the controllable drug loading/release, whereas due to the photonic crystal component, the cellular viability was dynamically monitored at every point during drug release. Actually, when cells were alive, the microenvironment surrounding them was acidic due to their secretion, green, but when the drug was released and apoptosis was triggered, the pH of the microenvironment was neutralized, changing the color of the spheres to red, which could be observed even by naked eye.
Combinatorial Drug Screening
As mentioned above, cytotoxicity tests are crucial in environmental and pharmacological industries, especially when the toxicity of a compound has to be assessed. Toxicology studies are not simple since the effect of a toxic compound can vary pretty much when in contact with other chemical compounds, sometimes causing an additive effect. However, the combination of more than one chemical or drug causes sometimes synergy (greater effect) or antagonism (lower effect), which may be considered in order to address their toxicity, or their effectiveness in case of therapeutic studies (
Combinatorial tests can be either based on the sequential or simultaneous addition of more than one toxic compound. Considering the first situation, a microsystem based on droplet arrays was reported for sequential toxic combinatorial testing in where the cells in the droplets were sequentially stimulated by two drugs, doxorubicin and daunorubicin (Popova et al., 2017). The microsystem enabled the visualization of cellular viability by fluorescence, combining live/death fluorescent staining. The results showed variations in cell viability when using a single drug or the sequential addition of the two drugs.
Sweet et al. developed a platform for simultaneous cytotoxicity analysis of more than one toxic, generating a gradient with the combination of three different compounds (Sweet et al., 2017). In addition, the platform enabled the identification of the relationship between the toxics. Binary combinations between the toxics correlated well with the results previously published in literature (
Curved microchannels for fluid mixing driven by Dean flow dynamics -the study of flow in curved channels- were integrated in cytotoxicity screening microsystems to generate gradients and mixing of three compounds, two anticancer drugs (doxorubicin and cisplatin) and the cell media, leading to highly efficient fluid mixing and single-step screening of twelve different combinations (Shen et al., 2020). The twelve combinations were simultaneously investigated for cell viability using a fluorescent live/death assay.
Moreover, a microdevice capable of performing combinatorial screening of two drugs (doxorubicin and mitoxantrone) was reported by
Moreover, synergistic effect can be also obtained combining photo-therapy with chemotherapy, so Flont et al. evaluated the effect of doxorubicin drug and nano-encapsulated meso-tetraphenylporphyrin photosensitiser on chip (
Label-Free Microsystems
Common cytotoxicity assays based on enzymatic activity or membrane penetration processes require cell labelling for viability studies. Their widely spread use relies on their elevated effectiveness, reliability and sensitivity, which do not compromise cellular functions such as growth and proliferation. Many efforts are being done to enhance their signal and durability during continuous observation under excitation, e.g., conjugating them with quantum dots to avoid photobleaching over long time exposure to light (Zhao et al., 2009; Zhao et al., 2013). Dye labelling, is time consuming, implies multiple steps and often only detects end points, not allowing continuous monitoring, without showing kinetic or dynamic data. Generally, dyes do not drastically affect essential cellular functions such as growth and proliferation, but there are evidences claiming that cell tracing dyes considerably increase living cell stiffness, deeply increasing the Young’s modulus of the cellular membrane and therefore enhance cellular rigidity and adhesion (
Microsystems Based on Cell-Substrate Interaction
Cell-substrate interactions are key in most of the vital cellular processes, such as proliferation, differentiation and migration. Regardless of the cell death mechanism, when cells are in the presence of a toxic, undergo morphological changes or disturbances in their membrane, compromising its integrity, which may affect cell adhesion to the substrate (
Surface chemistry modification at the micro-scale enables the precise positioning of cells, which following specific adhesion patterns, can lead to new functionalities. In a recent work, microcontact-printing, which creates defined patterns of molecules on surfaces by stamping a micropatterned PDMS, was used to create single cell adhesion dots arrays to address cell viability by optical microscopy (
FIGURE 4

Microsystems for label-free cytotoxicity testing. (A) Quantification of cell single-cell adhesion for cytotoxicity assessment by optical microscopy. Adapted from (
Piezoelectric quartz systems have also been proven useful for live cell biosensing, due to their excellent mass sensing capabilities, leading to the development of mass nanosensors called quartz crystal microbalances (Wang et al., 2011). A quartz crystal microbalances based benchtop platform, comprised of a microplate with a 2 × 2 mm resonant waveguide grating sensor per well was used to monitor cytotoxicity, based on the changes in the dynamic mass redistribution (
Microsystems Based on the Detection of Specific Molecules
A potentiometric flow-through sensor was reported for label-free cytotoxicity testing. Instead of monitoring cell-substrate adhesion, gold sensors were specifically manufactured and modified to detect multiple parameters that were indirectly correlated with cellular death, such as ions and amines. The potentiometric selective sensing of cations, anions and amines, coupled with partial least squares multivariate statistical analysis, led to non-invasive measurements of cellular viability (Nery et al., 2014).
Quantitative electrophysiological determination of cytotoxic responses in the presence of chemical compounds such as histamine, anti-histamine drugs (chlorphenamine and cetirizine) and acetylcholine receptors (nicotine, daidzein, genistin, and tamoxifen) was carried out using carbon nanotube transistors (
Beyond electrochemistry, pH sensing for the label-free and optical assessment of cytotoxicity has also been reported. Photonic crystals are periodic optical nanostructures with very interesting optical properties, due to their atomic energy gap that enables the movements of photons. Photonic crystal microspheres were reported for the colorimetric assessment of cellular viability even by naked eye (Wang et al., 2018). The microspheres were green when cells were alive, because their secretions made their surrounding microenvironment acidic. However, when cells were in presence of the toxic compound and their death was induced, the photonic crystals turned to red because of the neutralization of the cellular microenvironment (Figures 4C).
Mechanics to Monitor Cytotoxicity
The study of cellular mechanics offers a new approach to cytotoxicity assessment, based on a better readout at the cellular level. Cell mechanics results from the overall cellular events, so its study permits to observe the state of the general well-being, but also going to individual cellular events that in conventional assays would be hidden within intrinsic variability.
Due to its precision, atomic force microscopy is a powerful tool for nanomotion sensing in single-cell cytotoxicity tests (Zimmer et al., 2014; Ruggeri et al., 2017).Ruggeri et al. (2017) monitored nanometer-scale movements of cells with the nanomotion sensor, while complementary optical microscopy served to monitor cell attachment, cellular healthiness and micrometer scale movements (Figures 4D). Adding a fluorescent live/dead dye, loss of membrane integrity prior cell death was also detected by nanomotion sensing. Moreover, the cytotoxic responses to amyloids were detected and measured real time.
Single-cell compression method by means of atomic force microscopy can also accurately measure single-cell mechanics in nanotoxicity assessment. Zimmer et al. (2014) used single-cell compression following a protocol previously developed by their group (
Single Cell Resolution
There is a wide range of options for cytotoxicity assessment of cell populations, including microsystems, bringing new insights in cytotoxicity assessment, such as the HTP capability, multiplexing, gradient formations and label-free dynamic monitoring of cellular viability. However, cell populations are highly heterogeneous, and single cell toxicity analysis could make a difference, identifying cell subpopulations that present higher or lower resistance to a certain dose of a toxic compound. There are two main techniques for the isolation of cells as single cells. On one hand, individual cells can be confined in cavities (
Optical microscopy and label-free monitoring of cytotoxicity is also possible for single-cells. In the recent work from Garcia-Hernando et al., previously mentioned, an array of individual cell adhesion fibronectin islets was used to create single cell arrays for the monitoring of cytotoxicity by optical microscopy (
Agarose platforms, with microcavities for single-cell positioning by gravity, have been reported to measure cellular viability in the presence of nimustine DNA-crosslinker (
FIGURE 5

Platforms for cytotoxicity assessment of single-cells and non-adherent cells. (A) Gradient generating microfluidic device based on high density single-cell arrays positioned in microcavities for HTP single-cell cytotoxicity testing. Reproduced with permission from (
The study of individual cells is important due to the heterogeneity within populations. Electrochemical impedance demonstrates that the dynamic cytotoxic response of individual cells varies from one to others (
Droplet microfluidics can be used for the encapsulation of isolated single-cells by, for instance, coupling droplet formation with an array of microcavities for the deposition of the encapsulated single-cells. An individual cell containing droplet array coupled with a viability fluorescent assay enabled the quantification of individual dead and alive cells, showing also variable cytotoxic responses to antifungal Amphotericin B, within the studied population (
Cellular mechanics provide very specific information at the cellular level, offering an alternative readout of the molecular outputs of cellular events. Nanomotion is a promising technique to monitor the cellular well-being, which due to its sensitivity, can monitor cellular movements at the nano-scale in response to α-syn presynaptic protein and SiO2 nanoparticles (Zimmer et al., 2014; Ruggeri et al., 2017).
Non-Adherent Cells
Most of the current existing microsystems for cytotoxicity assessment are meant to be used for adherent cells, since working with them is less tedious and complex than manipulating non-adherent ones. Cytotoxicity assessment of non-adherent cells is mainly performed by flow cytometry, with accurate and reliable results, but again, involves handling of the sample and a temporary gap from the time the experiment is stopped until the time when analysis takes place (
There are not many options available for the entrapment and subsequent analysis of non-adherent cells, being hydrodynamic forces one of them. A microdevice with integrated dam structures for cell-trapping was used to trap cells by hydrodynamic forces, which were applied by an appendant microfluidic channel (Zhao et al., 2009). Once the non-adherent cells were positioned and localized, a live/death fluorescent tracker was used and their intensities were obtained and correlated with the cytotoxic response to the presence of cycloheximide, etoposide and camptothecin antileukemic drugs (Figures 5B).
Droplet microfluidics can be used as tools for the encapsulation and confinement of non-adherent cells. Popova and co-workers demonstrated that an array of droplets made on hydrophilic spots enables the encapsulation and cytotoxicity assessment of T-lymphocytes (Popova et al., 2017). Besides, digital microfluidics permits the confinement of non-adherent individual cells in droplets using an electrowetting-on-dielectric platform. The individually encapsulated cells were positioned as an array of single cells. Then, a stain with cell live/death trackers was used for viability individual cells studies by fluorescence microscopy (
Floating gold electrode sensors, based on aligned semi-conducing single walled carbon nanotubes, were used for dynamic cytotoxicity monitoring of non-adherent small lung cancer cells in the presence of nicotine and inhibitors of nicotinic acetylcholine receptors, measuring cell’s electrophysiological responses (Ta et al., 2014). When these cells are in a nicotine containing environment, the opening of the Ca2+ channels of the plasma membrane is triggered, causing Ca2+ to flow inside of the cell. This results in a depolarization of the cell, resulting on an increased negative current detected by the electrodes. The sensitivity of the technique enabled the cytotoxicity testing of single-cells.
Automation
Microfabrication enables the integration of several components within the same microsystem, leading to the development of fully integrated devices. They can perform automated processes avoiding handling operations, reducing sample loss and contamination risk, increasing throughput, improving the ease of use and repeatability for, at the end, reduce human errors. Moreover, thanks to automation, remote operation of the microsystems (fluid control and analysis) is possible in case it is required for a particular application (Melin and Quake, 2007).
Many efforts have been made in the automation of microsystems for cytotoxicity testing. Due to the wide use of fluorescent live/dead trackers, automated image processing has been reported in cytotoxicity platforms (
FIGURE 6

Automation potential of microsystems for cytotoxicity assessment. (A) Automated imaging by fluorescence microscopy. Reproduced with permission from (
Protocols based on electrochemical monitoring are also compatible with programming during data acquisition, in a dynamic way, far from end-point measurements. xCELLigence RTCA technology is a good example of that, since the manual sample handling is limited to loading the cells into the platform. From this point on, the system continuously measured impedance over time, collecting automatically dynamic data of cells during cytotoxic response (
Data interpretation can be automated, for instance, when combinatorial toxic screening is performed. The effect of the combined toxics and their concentrations can be automatically uploaded to a combinational library of chemical compounds, facilitating searching for toxic combinations, speeding up the discovery process of unexpectedly harmful toxics or in contrary, finding the most efficient drug combinations for therapy (
As an example of automated performance is the microfluidic system for sequential combinatorial therapy testing developed by
Nanotoxicology
Nanotoxicology is a subfield of toxicology that focuses on the toxic effects of nano-sized particles, often not caused by the material itself, but by the nano-scale related properties of these particles (
Due to the capability of engineered nanomaterials to interact with the cellular membrane—by adsorption, penetration or endocytosis—the study of the interaction between nanomaterials and the cell membrane is important and challenging (Zhang et al., 2012;
Due to the high toxicity and barrier penetration capability of nanoparticles, the studies of their effects on three-dimensional environments, mimicking natural biosystems, enable more reliable approaches to evaluate the physiological effects of nanomaterials (
Conclusion
Cytotoxicity assessment is vital in the pharmaceutical and environmental industry for the identification of potentially harmful compounds, as well as for the development of new therapies in medicine. Currently, the most popular techniques are based on labelling cells with fluorescent or colorimetric stains, targeting disrupted membranes of dead cells or specific metabolites. These are very sensitive and effective, but the application of microtechnology in cytotoxicity testing opens the door to more efficient methods that can also be complemented with traditional assays.
Within microtechnology, many techniques have been proven efficient for reliable and sensitive cytotoxicity assessment. It must be highlighted that working at the microscale, HTP approach is possible. Moreover, multiplexed and gradient cytotoxicity assessment systems, capable of collecting higher amounts of data for the correct interpretation of toxicity, become available for general use. Many microdevices for combinatorial toxic screening have been reported, which facilitate research on the identification of potentially toxic compounds, enabling the development of more effective therapies in medicine.
Furthermore, the use of microtechnology for cytotoxicity testing permits the measurement of cellular events such as cell-substrate adhesion, electrophysiology and mechanics of cytotoxicity in a label free manner, avoiding the addition of external labels that even at a low level, could affect cellular functions. Additionally, label-free sensing allows dynamic and continuous monitoring of cells during testing, providing to the user with additional data, e.g., continuous monitoring of cellular well-being, even before death, as well as kinetic responses against toxic compounds.
Besides, cytotoxicity assessment at single-cell level is possible using microtechnology. This enables the study of cytotoxic responses of cell subpopulations within heterogeneous populations, which helps investigating cellular resistance, as well as vulnerabilities of cells to chemical compounds. Single-cell resolution also enables real quantification of cellular viability, which would bring cytotoxicity assessment platforms close to the concept of flow cytometry on a surface. Moreover, the assessment could be automated using programmable microdevices, which facilitates their use, leading to more efficient analyses, reducing human handling and thus, errors.
Nanotoxicology is a recent field within cytotoxicity assessment which is growing fast, because of the emerging interest in nanoparticles for therapy. Reliable information on the effects of engineered nanoparticles on biosystems is crucial, and microtechnology is emerging as a powerful tool for screening nanoparticle—biological system interactions.
Despite the previous advances, microtechnology is still far for being implemented in daily cytotoxicity assessment. Although the presented micro-systems have been successfully implemented for cytotoxicity assessment, their fabrication is still laborious and long, and it sometimes require specific micromachining equipment, complicating the mass production of devices. The use of microplatforms for cytotoxicity testing is very useful for now when it comes to specific cytotoxic measurements or information that cannot be obtained with traditional assays, such as cytotoxicity dynamics, real-time monitoring, gradient formation and multiplexing; or information that can be obtained easily and faster than with traditional tools, such as single cell testing or combinatorial testing. However, microtechnology seems to have already a place in cytotoxicity assessment, and it is lately gaining importance and popularity, considering the increasing number of publications appearing every year with novel approaches. It can be expected that new trends in this field will focus on the improvement of the fabrication of the devices, simplifying processes for potential mass production and looking for suitable materials with properties that permit a good performance of the analyses. Therefore, evidence points out that the future of cytotoxicity assays will be highly conditioned by the developments made in microtechnology.
Statements
Author contributions
MGH: Conceptualization, Ideas, Investigation, Writing - Original Draft, Writing - Review and Editing. FBL and LBD: Conceptualization, Ideas, Resources, Management, Writing - Review and Editing, Supervision, Project administration, Funding acquisition.
Acknowledgments
Authors would like to acknowledge the funding support from: University of the Basque Country (PIF16/204), the funding support from Gobierno de España, Ministerio de Economía y Competitividad, with Grant No. BIO2016-80417-P (AEI/FEDER, UE) and Gobierno Vasco under grand IT1271-19.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
References
1
AbassiY. A.XiB.ZhangW.YeP.KirsteinS. L.GaylordM. R.et al (2009). Kinetic cell-based morphological screening: prediction of mechanism of compound action and off-target effects. Chem. Biol.16, 712–723. 10.1016/j.chembiol.2009.05.011
2
AdanA.AlizadaG.KirazY.BaranY.NalbantA. (2017). Flow cytometry: basic principles and applications. Crit. Rev. Biotechnol.37, 163–176. 10.3109/07388551.2015.1128876
3
AhadianS.Ramón-AzcónJ.EstiliM.ObregónR.ShikuH.MatsueT. (2014). Facile and rapid generation of 3D chemical gradients within hydrogels for high-throughput drug screening applications. Biosens. Bioelectron.59, 166–173. 10.1016/j.bios.2014.03.031
4
ArendsF.SellnerS.SeifertP.GerlandU.RehbergM.LielegO. (2015). A microfluidics approach to study the accumulation of molecules at basal lamina interfaces. Lab Chip.15, 3326–3334. 10.1039/c5lc00561b
5
AshammakhiN.DarabiM. A.Çelebi‐SaltikB.TutarR.HartelM. C.LeeJ.et al (2020). Microphysiological systems: next generation systems for assessing toxicity and therapeutic effects of nanomaterials. Small Methods.4, 1900589. 10.1002/smtd.201900589
6
AsphahaniF.TheinM.WangK.WoodD.WongS. S.XuJ.et al (2012). Real-time characterization of cytotoxicity using single-cell impedance monitoring. Analyst.137, 3011–3019. 10.1039/c2an16079j
7
AtienzaJ. M.ZhuJ.WangX.XuX.AbassiY. (2005). Dynamic monitoring of cell adhesion and spreading on microelectronic sensor arrays. J. Biomol. Screen.10 (8), 795–805. 10.1177/1087057105279635
8
AuffanM.RoseJ.BotteroJ.LowryG. V.JolivetJ.WiesnerM. R. (2009). Towards a definition of inorganic nanoparticles from an environmental, health and safety perspective. Nat. Nanotechnol.4, 634–641. 10.1038/nnano.2009.242
9
Azuaje-HualdeE.García-HernandoM.Etxebarria-ElezgaraiJ.De PancorboM. M.Benito-LopezF.Basabe-DesmontsL. (2017). Microtechnologies for cell microenvironment control and monitoring. Micromachines.8, 166. 10.3390/mi8060166
10
BaV. A. P.ChoD.KimD.YooH.TaV.HongS. (2017). Quantitative electrophysiological monitoring of anti–histamine drug effects on live cells via reusable sensor platforms. Biosens. Bioelectron.94, 707–713. 10.1016/j.bios.2017.03.063
11
BeebeD. J.MensingG. A.WalkerG. M. (2002). Physics and applications of microfluidics in biology. Annu. Rev. Biomed. Engineer.,Engineer.4 (1), 261–286. 10.1146/annurev.bioeng.4.112601.125916
12
BélangerM.MaroisY. (2001). Hemocompatibility, biocompatibility, inflammatory and in vivo studies of primary reference materials low‐density polyethylene and polydimethylsiloxane: a review. J. Biomed. Mat. Res.58, 467–477. 10.1002/jbm.1043
13
BoedickerJ. Q.LiL.KlineT. R.IsmagilovR. F. (2008). Detecting bacteria and determining their susceptibility to antibiotics by stochastic confinement in nanoliter droplets using plug-based microfluidics. Lab Chip.8, 1265–1272. 10.1039/b804911d
14
BollenbachT. (2015). Antimicrobial interactions: mechanisms and implications for drug discovery and resistance evolution. Curr. Opin. Microbiol.27, 1–9. 10.1016/j.mib.2015.05.008
15
BulykM. L.GentalenE.LockhartD. J.ChurchG. M. (1999). Quantifying DNA–protein interactions by double-stranded DNA arrays. Nat. Biotechnol.17, 573–577. 10.1038/9878
16
CapelA. J.RimingtonR. P.LewisM. P.ChristieS. D. (2018). 3D printing for chemical, pharmaceutical and biological applications. Nat. Rev. Chem.2, 422–436. 10.1038/s41570-018-0058-y
17
CatalánJ.SiivolaK. M.NymarkP.LindbergH.SuhonenS.JärventausH.et al (2016). In vitro and in vivo genotoxic effects of straight versus tangled multi-walled carbon nanotubes. Nanotoxicology.10, 794–806. 10.3109/17435390.2015.1132345
18
CeriottiL.PontiJ.ColpoP.SabbioniE.RossiF. (2007). Assessment of cytotoxicity by impedance spectroscopy. Biosens. Bioelectron.22, 3057–3063. 10.1016/j.bios.2007.01.004
19
ChenX.ChenH.WuD.ChenQ.ZhouZ.ZhangR.et al (2018). 3D printed microfluidic chip for multiple anticancer drug combinations. Sens. Actuat. B-Chem.276, 507–516. 10.1016/j.snb.2018.08.121
20
ChoM.NilesA.HuangR.IngleseJ.AustinC. P.RissT.et al (2008). A bioluminescent cytotoxicity assay for assessment of membrane integrity using a proteolytic biomarker. Toxicol. In Vitro.22, 1099–1106. 10.1016/j.tiv.2008.02.013
21
ChurchmanA. H.WallaceR.MilneS. J.BrownA. P.BrydsonR.BealesP. A. (2013). Serum albumin enhances the membrane activity of ZnO nanoparticles. Chem. Commun.49, 4172–4174. 10.1039/c3cc37871c
22
CossonS.LutolfM. (2014). Hydrogel microfluidics for the patterning of pluripotent stem cells. Sci. Rep.4, 4462. 10.1038/srep04462
23
DaiW.ZhengY.LuoK. Q.WuH. (2010). A prototypic microfluidic platform generating stepwise concentration gradients for real-time study of cell apoptosis. Biomicrofluidics.4, 024101. 10.1063/1.3398319
24
DingY.LiJ.XiaoW.XiaoK.LeeJ.BhardwajU.et al (2015). Microfluidic-enabled print-to-screen platform for high-throughput screening of combinatorial chemotherapy. Anal. Chem.87, 10166–10171. 10.1021/acs.analchem.5b00826
25
DuG.PanJ.ZhaoS.ZhuY.den ToonderJ. M.FangQ. (2013). Cell-based drug combination screening with a microfluidic droplet array system. Anal. Chem.85, 6740–6747. 10.1021/ac400688f
26
EribolP.UguzA.UlgenK. (2016). Screening applications in drug discovery based on microfluidic technology. Biomicrofluidics.10, 011502. 10.1063/1.4940886
27
FadeelB. (2019). The right stuff: on the future of nanotoxicology. Front. Toxicol.1, 1. 10.3389/ftox.2019.00001
28
FarkasE.SzekacsA.KovacsB.OlahM.HorvathR.SzekacsI. (2018). Label-free optical biosensor for real-time monitoring the cytotoxicity of xenobiotics: a proof of principle study on glyphosate. J. Hazard. Mater.351, 80–89. 10.1016/j.jhazmat.2018.02.045
29
FischerR.SteinertS.FröberU.VogesD.StubenrauchM.HofmannG.et al (2011). Cell cultures in microsystems: biocompatibility aspects. Biotechnol. Bioeng.108, 687–693. 10.1002/bit.22951
30
FlontM.JastrzębskaE.BrzózkaZ. (2020). Synergistic effect of the combination therapy on ovarian cancer cells under microfluidic conditions. Anal. Chim. Acta.1100, 138–148. 10.1016/j.aca.2019.11.047
31
FoucquierJ.GuedjM. (2015). Analysis of drug combinations: current methodological landscape. Pharmaco. Res. Perspect.3, e00149. 10.1002/prp2.149
32
FritzscheS.HoffmannP.BelderD. (2010). Chip electrophoresis with mass spectrometric detection in record speed. Lab Chip.10, 1227–1230. 10.1039/c000349b
33
GalvezJ. M. M.Garcia-HernandoM.Benito-LopezF.Basabe-DesmontsL.ShnyrovaA. V. (2020). Microfluidic chip with pillar arrays for controlled production and observation of lipid membrane nanotubes. Lab Chip.20 (15), 2748–2755. 10.1039/d0lc00451k
34
Garcia-HernandoM.Calatayud-SanchezA.Etxebarria-ElezgaraiJ.de PancorboM. M.Benito-LopezF.Basabe-DesmontsL. (2020). Optical single cell resolution cytotoxicity biosensor based on single cell adhesion dot arrays. Anal. Chem.92 (14), 9658–9665. 10.1021/acs.analchem.0c00940
35
GellesJ. D.ChipukJ. E. (2016). Robust high-throughput kinetic analysis of apoptosis with real-time high-content live-cell imaging. Cell Death & Dis.7, e2493. 10.1038/cddis.2016.332
36
GeyerF. L.UedaE.LiebelU.GrauN.LevkinP. A. (2011). Superhydrophobic–superhydrophilic micropatterning: towards genome‐on‐a‐chip cell microarrays. Angew. Chem. Int. Ed.50, 8424–8427. 10.1002/anie.201102545
37
Gonzalez-PujanaA.Santos-VizcainoE.García-HernandoM.Hernaez-EstradaB.de PancorboM. M.Benito-LopezF.et al (2019). Extracellular matrix protein microarray-based biosensor with single cell resolution: integrin profiling and characterization of cell-biomaterial interactions. Sens. Actuat. B- Chem.299, 126954. 10.1016/j.snb.2019.126954
38
GuoL.GuvanasenG. S.LiuX.TuthillC.NicholsT. R.DeWeerthS. P. (2012). A PDMS-based integrated stretchable microelectrode array (isMEA) for neural and muscular surface interfacing. IEEE Trans. Biomed.7, 1–10. 10.1109/TBCAS.2012.2192932
39
GurkanU. A.AnandT.TasH.ElkanD.AkayA.KelesH. O.et al (2011). Controlled viable release of selectively captured label-free cells in microchannels. Lab Chip.11, 3979–3989. 10.1039/c1lc20487d
40
HamonC.Henriksen‐LaceyM.La PortaA.RosiqueM.LangerJ.ScarabelliL.et al (2016). Tunable nanoparticle and cell assembly using combined self‐powered microfluidics and microcontact printing. Adv. Funct. Mat.26, 8053–8061. 10.1002/adfm.201602225
41
HartL. R.LiS.SturgessC.WildmanR.JonesJ. R.HayesW. (2016). 3D printing of biocompatible supramolecular polymers and their composites. ACS Appl. Mat. Interfaces.8, 3115–3122. 10.1021/acsami.5b10471
42
HeM.StoevesandtO.PalmerE. A.KhanF.EricssonO.TaussigM. J. (2008). Printing protein arrays from DNA arrays. Nat. Methods.5, 175–177. 10.1038/nmeth.1178
43
Hirano-IwataA.OshimaA.NasuT.TairaT.KimuraY.NiwanoM. (2010). Stable lipid bilayers based on micro-and nano-fabrication. Supramol. Chem.22, 406–412. 10.1080/10610278.2010.487564
44
HoC. M. B.NgS. H.LiK. H. H.YoonY. (2015). 3D printed microfluidics for biological applications. Lab Chip.15, 3627–3637. 10.1039/c5lc00685f
45
HosokawaM.HayashiT.MoriT.YoshinoT.NakasonoS.MatsunagaT. (2011). Microfluidic device with chemical gradient for single-cell cytotoxicity assays. Anal. Chem.83, 3648–3654. 10.1021/ac2000225
46
HuB.LiJ.MouL.LiuY.DengJ.QianW.et al (2017). An automated and portable microfluidic chemiluminescence immunoassay for quantitative detection of biomarkers. Lab Chip.17, 2225–2234. 10.1039/c7lc00249a
47
HugT. S. (2003). Biophysical methods for monitoring cell-substrate interactions in drug discovery. Assay Drug Dev. Techn.1, 479–488. 10.1089/154065803322163795
48
IrelanJ. T.WuM.MorganJ.KeN.XiB.WangX.et al (2011). Rapid and quantitative assessment of cell quality, identity, and functionality for cell-based assays using real-time cellular analysis. J. Biomol. Screen.16, 313–322. 10.1177/1087057110397359
49
Jahan-TighR. R.RyanC.ObermoserG.SchwarzenbergerK. (2012). Flow cytometry. J. Invest. Dermatol.132, 1–6. 10.1038/jid.2012.282
50
KeN.WangX.XuX.AbassiY. A. (2011). The xCELLigence system for real-time and label-free monitoring of cell viability. Methods Mol. Biol.740, 33–43. 10.1007/978-1-61779-108-6_6
51
KerstenB.WankerE. E.HoheiselJ. D.AngenendtP. (2005). Multiplex approaches in protein microarray technology. Expert. Rev. Proteomic.2, 499–510. 10.1586/14789450.2.4.499
52
KhalidN.KobayashiI.NakajimaM. (2017). Recent lab‐on‐chip developments for novel drug discovery. Wires Syst. Biol. Med.9, e1381. 10.1002/wsbm.1381
53
KimJ.TaylorD.AgrawalN.WangH.KimH.HanA.et al (2012). A programmable microfluidic cell array for combinatorial drug screening. Lab Chip.12, 1813–1822. 10.1039/c2lc21202a
54
KumarP.VriensK.CornagliaM.GijsM.KokaljT.ThevissenK.et al (2015). Digital microfluidics for time-resolved cytotoxicity studies on single non-adherent yeast cells. Lab Chip.15, 1852–1860. 10.1039/c4lc01469c
55
LeeP. J.HungP. J.RaoV. M.LeeL. P. (2006). Nanoliter scale microbioreactor array for quantitative cell biology. Biotechnol. Bioeng.94, 5–14. 10.1002/bit.20745
56
LevinsonH. J. (2005). Principles of lithography.Bellingham, WA: SPIE press, Vol. 146
57
LiL.LiY.ShaoZ.LuoG.DingM.LiangQ. (2018). Simultaneous assay of oxygen-dependent cytotoxicity and genotoxicity of anticancer drugs on an integrated microchip. Anal. Chem.90, 11899–11907. 10.1021/acs.analchem.8b02070
58
LiL.WangW.DingM.LuoG.LiangQ. (2016). Single-cell-arrayed agarose chip for in situ analysis of cytotoxicity and genotoxicity of DNA cross-linking agents. Anal. Chem.88, 6734–6742. 10.1021/acs.analchem.6b01008
59
LimK. S.ChangW.KooY.BashirR. (2006). Reliable fabrication method of transferable micron scale metal pattern for poly (dimethylsiloxane) metallization. Lab Chip.6, 578–580. 10.1039/b514755g
60
LiuW.LiY.WangT.LiD.FangL.ZhuS.et al (2013). Elliptical polymer brush ring array mediated protein patterning and cell adhesion on patterned protein surfaces. ACS Appl. Mat. Interfaces.5, 12587–12593. 10.1021/am403808s
61
Lopez-AlonsoA.JoseB.SomersM.EganK.FoleyD. P.RiccoA. J.et al (2013). Individual platelet adhesion assay: measuring platelet function and antiplatelet therapies in whole blood via digital quantification of cell adhesion. Anal. Chem.85, 6497–6504. 10.1021/ac401076s
62
LulevichV.ShihY.LoS. H.LiuG. (2009). Cell tracing dyes significantly change single cell mechanics. J. Phys. Chem. B.113, 6511–6519. 10.1021/jp8103358
63
LulevichV.ZinkT.ChenH.LiuF.LiuG. (2006). Cell mechanics using atomic force microscopy-based single-cell compression. Langmuir.22, 8151–8155. 10.1021/la060561p
64
MaB.ZhangG.QinJ.LinB. (2009). Characterization of drug metabolites and cytotoxicity assay simultaneously using an integrated microfluidic device. Lab Chip.9, 232–238. 10.1039/b809117j
65
MashaghiS.AbbaspourradA.WeitzD. A.van OijenA. M. (2016). Droplet microfluidics: a tool for biology, chemistry and nanotechnology. Trac-Trend. Anal. Chem.82, 118–125. 10.1016/j.trac.2016.05.019
66
MazutisL.GilbertJ.UngW. L.WeitzD. A.GriffithsA. D.HeymanJ. A. (2013). Single-cell analysis and sorting using droplet-based microfluidics. Nat. Protoc.8, 870. 10.1038/nprot.2013.046
67
McCormickS. C.KrielF. H.IvaskA.TongZ.LombiE.VoelckerN. H.et al (2017). The use of microfluidics in cytotoxicity and nanotoxicity experiments. Micromachines.8, 124. 10.3390/mi8040124
68
MelinJ.QuakeS. R. (2007). Microfluidic large-scale integration: the evolution of design rules for biological automation. Annu. Rev. Biophys. Biomol. Struct.36, 213–231. 10.1146/annurev.biophys.36.040306.132646
69
MenottiJ.AlanioA.Sturny-LeclèreA.VitryS.SauvageF.BarrattG.et al (2017). A cell impedance-based real-time in vitro assay to assess the toxicity of amphotericin B formulations. Toxicol. Appl. Pharm.334, 18–23. 10.1016/j.taap.2017.08.017
70
MoS. J.LeeJ.KyeH. G.LeeJ. M.KimE.GeumD.et al (2020). A microfluidic gradient device for drug screening with human iPSC-derived motoneurons. Analyst.145, 3081–3089. 10.1039/c9an02384d
71
NathN.HyunJ.MaH.ChilkotiA. (2004). Surface engineering strategies for control of protein and cell interactions. Surf. Sci.570, 98–110. 10.1016/j.susc.2004.06.182
72
NeryE. W.JastrzębskaE.ŻukowskiK.WróblewskiW.ChudyM.CiosekP. (2014). Flow-through sensor array applied to cytotoxicity assessment in cell cultures for drug-testing purposes. Biosens. Bioelectron.51, 55–61. 10.1016/j.bios.2013.07.023
73
NguyenT.JungS. H.LeeM. S.ParkT.AhnS.KangJ. H. (2019). Robust chemical bonding of PMMA microfluidic devices to porous PETE membranes for reliable cytotoxicity testing of drugs. Lab Chip.19, 3706–3713. 10.1039/c9lc00338j
74
OuX.ChenP.HuangX.LiS.LiuB. (2019). Microfluidic chip electrophoresis for biochemical analysis. J. Sep. Sci.43, 258–270. 10.1002/jssc.201900758
75
OwenJ.KuznecovsM.BhamjiR.WilliamN.Domenech-GarciaN.HeslerM.et al (2020). High-throughput electrochemical sensing platform for screening nanomaterial–biomembrane interactions. Rev. Sci. Instrum.91, 025002. 10.1063/1.5131562
76
PietroiustiA.Stockmann‐JuvalaH.LucaroniF.SavolainenK. (2018). Nanomaterial exposure, toxicity, and impact on human health. Wiley Interdiscip. Rev. Nanomed.10, e1513. 10.1002/wnan.1513
77
PiruskaA.NikcevicI.LeeS. H.AhnC.HeinemanW. R.LimbachP. A.et al (2005). The autofluorescence of plastic materials and chips measured under laser irradiation. Lab Chip.5, 1348–1354. 10.1039/b508288a
78
PopovaA. A.DepewC.PermanaK. M.TrubitsynA.PeravaliR.OrdianoJ. A. G.et al (2017). Evaluation of the droplet-microarray platform for high-throughput screening of suspension cells. SLAS Technol.22, 163–175. 10.1177/2211068216677204
79
PopovaA. A.SchilloS. M.DemirK.UedaE.Nesterov‐MuellerA.LevkinP. A. (2015). Droplet‐Array (DA) sandwich chip: a versatile platform for High‐Throughput cell screening based on Superhydrophobic–Superhydrophilic micropatterning. Adv. Mat.27, 5217–5222. 10.1002/adma.201502115
80
RamachandranN.RaphaelJ. V.HainsworthE.DemirkanG.FuentesM. G.RolfsA.et al (2008). Next-generation high-density self-assembling functional protein arrays. Nat. Methods.5, 535–538. 10.1038/nmeth.1210
81
RamirezC. N.AntczakC.DjaballahH. (2010). Cell viability assessment: toward content-rich platforms. Expert. Opin. Drug. Dis.5, 223–233. 10.1517/17460441003596685
82
RashidA.VakurovA.MohamadiS.SanverD.NelsonA. (2017). Substituents modulate biphenyl penetration into lipid membranes. Biochim. Biophys. Acta Biomembr.1859, 712–721. 10.1016/j.bbamem.2017.01.023
83
RecordatiC.De MaglieM.BianchessiS.ArgentiereS.CellaC.MattielloS.et al (2015). Tissue distribution and acute toxicity of silver after single intravenous administration in mice: nano-specific and size-dependent effects. Part Fibre Toxicol.13, 12. 10.1186/s12989-016-0124-x
84
RiahiR.ShaeghS. A. M.GhaderiM.ZhangY. S.ShinS. R.AlemanJ.et al (2016). Automated microfluidic platform of bead-based electrochemical immunosensor integrated with bioreactor for continual monitoring of cell secreted biomarkers. Sci. Rep.6, 1–14. 10.1038/srep24598
85
RuanJ.WangL.XuM.CuiD.ZhouX.LiuD. (2009). Fabrication of a microfluidic chip containing dam, weirs and gradient generator for studying cellular response to chemical modulation. Mat. Sci. Eng. C.29, 674–679. 10.1016/j.msec.2008.12.009
86
RuggeriF. S.Mahul-MellierA.KasasS.LashuelH. A.LongoG.DietlerG. (2017). Amyloid single-cell cytotoxicity assays by nanomotion detection. Cell Death Dis.3, 1–8. 10.1038/cddiscovery.2017.53
87
SackmannE. K.FultonA. L.BeebeD. J. (2014). The present and future role of microfluidics in biomedical research. Nature.507, 181–189. 10.1038/nature13118
88
SarkarS.CohenN.SabhachandaniP.KonryT. (2015). Phenotypic drug profiling in droplet microfluidics for better targeting of drug-resistant tumors. Lab Chip.15, 4441–4450. 10.1039/c5lc00923e
89
SarkarS.KangW.JiangS.LiK.RayS.LutherE.et al (2020). Machine learning-aided quantification of antibody-based cancer immunotherapy by natural killer cells in microfluidic droplets. Lab Chip.20 (13), 2317–2327. 10.1039/D0LC00158A
90
ShangW.LiuY.KimE.TsaoC.PayneG. F.BentleyW. E. (2018). Selective assembly and functionalization of miniaturized redox capacitor inside microdevices for microbial toxin and mammalian cell cytotoxicity analyses. Lab Chip.18, 3578–3587. 10.1039/c8lc00583d
91
ShenS.ZhangX.ZhangF.WangD.LongD.NiuY. (2020). Three-gradient constructions in a flow-rate insensitive microfluidic system for drug screening towards personalized treatment. Talanta.208, 120477. 10.1016/j.talanta.2019.120477
92
ShieldsC. W.IVReyesC. D.LópezG. P. (2015). Microfluidic cell sorting: a review of the advances in the separation of cells from debulking to rare cell isolation. Lab Chip.15, 1230–1249. 10.1039/c4lc01246a
93
SocholR.SweetE.GlickC.VenkateshS.AvetisyanA.EkmanK.et al (2016). 3D printed microfluidic circuitry via multijet-based additive manufacturing. Lab Chip.16, 668–678. 10.1039/c5lc01389e
94
StoddartM. J. (2011). Cell viability assays: introduction. Methods. Mol. Biol.740, 1–6. 10.1007/978-1-61779-108-6_1
95
StrulsonM. K.MaurerJ. A. (2011). Microcontact printing for creation of patterned lipid bilayers on tetraethylene glycol self-assembled monolayers. Langmuir.27, 12052–12057. 10.1021/la201839w
96
SugiuraS.EdahiroJ.KikuchiK.SumaruK.KanamoriT. (2008). Pressure‐driven perfusion culture microchamber array for a parallel drug cytotoxicity assay. Biotechnol. Bioeng.100, 1156–1165. 10.1002/bit.21836
97
SusloparovaA. A.KoppenhöferD.LawJ. K. Y.VuX. T.IngebrandtS. (2015). Electrical cell-substrate impedance sensing with field-effect transistors is able to unravel cellular adhesion and detachment processes on a single cell level. Lab Chip.15, 668–679. 10.1039/c4lc00593g
98
SweetE. C.ChenJ. C.KarakurtI.LongA. T.LinL. (2017). 3D printed three-flow microfluidic concentration gradient generator for clinical E. coli-antibiotic drug screening. IEEE 30th international conference on micro electro mechanical systems (MEMS), Las Vegas, NV, January 22–26, 2017, (IEEE) 205–208
99
TaV.ParkJ.ParkE. J.HongS. (2014). Reusable floating-electrode sensor for the quantitative electrophysiological monitoring of a nonadherent cell. ACS Nano.8, 2206–2213. 10.1021/nn4053155
100
TranT. B.ChoS.MinJ. (2013). Hydrogel-based diffusion chip with electric cell-substrate impedance sensing (ECIS) integration for cell viability assay and drug toxicity screening. Biosens. Bioelectron.50, 453–459. 10.1016/j.bios.2013.07.019
101
UrcanE.HaertelU.StyllouM.HickelR.ScherthanH.ReichlF. X. (2010). Real-time xCELLigence impedance analysis of the cytotoxicity of dental composite components on human gingival fibroblasts. Dent. Mater. J.26, 51–58. 10.1016/j.dental.2009.08.007
102
VaidyanathanR.YeoT.LimC. T. (2018). Microfluidics for cell sorting and single cell analysis from whole blood. Methods Cell Biol.147, 151–173. 10.1016/bs.mcb.2018.06.011
103
VajralaV. S.BelaïdiF. S.LemercierG.ZigahD.RigouletM.DevinA.et al (2019). Microwell array integrating nanoelectrodes for coupled opto-electrochemical monitorings of single mitochondria. Biosens. Bioelectron.126, 672–678. 10.1016/j.bios.2018.11.036
104
WangG.DewildeA. H.ZhangJ.PalA.VashistM.BelloD.TherrienJ. M. (2011). A living cell quartz crystal microbalance biosensor for continuous monitoring of cytotoxic responses of macrophages to single-walled carbon nanotubes. Part Fibre Toxicol.8, 4. 10.1186/1743-8977-8-4
105
WangT.LiuJ.NieF. (2018). Non-dye cell viability monitoring by using pH-responsive inverse opal hydrogels. J. Mater. Chem. B.6, 1055–1065. 10.1039/c7tb02631e
106
WangZ.KimM.MarquezM.ThorsenT. (2007). High-density microfluidic arrays for cell cytotoxicity analysis. Lab Chip.7, 740–745. 10.1039/b618734j
107
WlodkowicD.FaleyS.ZagnoniM.WikswoJ. P.CooperJ. M. (2009). Microfluidic single-cell array cytometry for the analysis of tumor apoptosis. Anal. Chem.81, 5517–5523. 10.1021/ac9008463
108
WuW.ShenJ.BanerjeeP.ZhouS. (2010). Core–shell hybrid nanogels for integration of optical temperature-sensing, targeted tumor cell imaging, and combined chemo-photothermal treatment. Biomaterials.31, 7555–7566. 10.1016/j.biomaterials.2010.06.030
109
WurmM.SchöpkeB.LutzD.MüllerJ.ZengA. (2010). Microtechnology meets systems biology: the small molecules of metabolome as next big targets. J. Biotechnol.149, 33–51. 10.1016/j.jbiotec.2010.05.002
110
XiaY.WhitesidesG. M. (1998). Soft lithography. Annu. Rev. Mater. Sci.28, 153–184. 10.1146/annurev.matsci.28.1.153
111
XingJ. Z.ZhuL.JacksonJ. A.GabosS.SunX.WangX.et al (2005). Dynamic monitoring of cytotoxicity on microelectronic sensors. Chem. Res. Toxicol.18, 154–161. 10.1021/tx049721s
112
YuL.ChenM. C.CheungK. C. (2010). Droplet-based microfluidic system for multicellular tumor spheroid formation and anticancer drug testing. Lab Chip.10, 2424–2432. 10.1039/c004590j
113
ZhangD.PengY.QiH.GaoQ.ZhangC. (2010). Label-free electrochemical DNA biosensor array for simultaneous detection of the HIV-1 and HIV-2 oligonucleotides incorporating different hairpin-DNA probes and redox indicator. Biosens. Bioelectron.25, 1088–1094. 10.1016/j.bios.2009.09.032
114
ZhangH.LeeY. Y.LeckK. J.KimN. Y.YingJ. Y. (2007). Recyclable hydrophilic− hydrophobic micropatterns on glass for microarray applications. Langmuir.23, 4728–4731. 10.1021/la063759i
115
ZhangL.ChenP.ZhouZ.HuY.ShaQ.ZhangH.et al (2019). Agarose-based microwell array chip for high-throughput screening of functional microorganisms. Talanta.191, 342–349. 10.1016/j.talanta.2018.08.090
116
ZhangS.NelsonA.BealesP. A. (2012). Freezing or wrapping: the role of particle size in the mechanism of nanoparticle–biomembrane interaction. Langmuir.28, 12831–12837. 10.1021/la301771b
117
ZhaoL.CaoJ.WuZ.LiJ.ZhuJ. (2013). Lab-on-a-chip for anticancer drug screening using quantum dots probe based apoptosis assay. J. Biomed. Nanotechnol.9, 348–356. 10.1166/jbn.2013.1546
118
ZhaoL.ChengP.LiJ.ZhangY.GuM.LiuJ.et al (2009). Analysis of nonadherent apoptotic cells by a quantum dots probe in a microfluidic device for drug screening. Anal. Chem.81, 7075–7080. 10.1021/ac901121f
119
ZhaoY.ChengY.ShangL.WangJ.XieZ.GuZ. (2015). Microfluidic synthesis of barcode particles for multiplex assays. Small.11 (2), 151–174. 10.1002/smll.201401600
120
ZimmerC. C.LiuY. X.MorganJ. T.YangG.WangK.KennedyI. M.et al (2014). New approach to investigate the cytotoxicity of nanomaterials using single cell mechanics. J. Phys.l Chem. B.118, 1246–1255. 10.1021/jp410764f
Summary
Keywords
microtechnology, lab-on-a-chip, cytotoxicity, surface engineering, microfluidics, Sensors, Biosensors, single cell
Citation
Garcia-Hernando M, Benito-Lopez F and Basabe-Desmonts L (2020) Advances in Microtechnology for Improved Cytotoxicity Assessment. Front. Mater. 7:582030. doi: 10.3389/fmats.2020.582030
Received
14 July 2020
Accepted
26 October 2020
Published
20 November 2020
Volume
7 - 2020
Edited by
Patricia Krawczak, IMT Lille Douai, France
Reviewed by
M. Gabriella Santonicola, Sapienza University of Rome, Italy
Huaiyu Wang, Chinese Academy of Sciences (CAS), China
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Copyright
© 2020 Garcia-Hernando, Benito-Lopez and Basabe-Desmonts.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Lourdes Basabe-Desmonts, lourdes.basabe@ehu.eus Fernando Benito-Lopez, fernando.benito@ehu.eus
This article was submitted to Colloidal Materials and Interfaces, a section of the journal Frontiers in Materials
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