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Article

Investigating Laser Ablation Process Parameters for the Fabrication of Customized Microneedle Arrays for Therapeutic Applications

1
Department of Mechanical Engineering, College of Engineering, University of Bisha, P.O. Box 001, Bisha 67714, Saudi Arabia
2
Translational Life Science Technology, University of Maryland Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250, USA
3
Center for Excellence in Product Design and Advanced Manufacturing, North Carolina A&T State University, Greensboro, NC 27411, USA
*
Author to whom correspondence should be addressed.
Pharmaceutics 2024, 16(7), 885; https://doi.org/10.3390/pharmaceutics16070885
Submission received: 23 April 2024 / Revised: 11 June 2024 / Accepted: 27 June 2024 / Published: 30 June 2024

Abstract

:
Microneedles are an innovation in the field of medicine that have the potential to revolutionize drug delivery, diagnostics, and cosmetic treatments. This innovation provides a minimally invasive means to deliver drugs, vaccines, and other therapeutic substances into the skin. This research investigates the design and manufacture of customized microneedle arrays using laser ablation. Laser ablation was performed using an ytterbium laser on a polymethyl methacrylate (PMMA) substrate to create a mold for casting polydimethylsiloxane (PDMS) microneedles. An experimental design was conducted to evaluate the effect of process parameters including laser pulse power, pulse width, pulse repetition, interval between pulses, and laser profile on the desired geometry of the microneedles. The analysis of variance (ANOVA) model showed that lasing interval, laser power, and pulse width had the highest influence on the output metrics (diameter and height) of the microneedle. The microneedle dimensions showed an increase with higher pulse width and vice versa with an increase in pulse interval. A response surface model indicated that the laser pulse width and interval (independent variables) significantly affect the response diameter and height (dependent variable). A predictive model was generated to predict the microneedle topology and aspect ratio varying from 0.8 to 1.5 based on the variation in critical input process parameters. This research lays the foundation for the design and fabrication of customized microneedles based on variations in specific input parameters for therapeutic applications in dermal sensors, drug delivery, and vaccine delivery.

1. Introduction

Microneedles provide a minimally invasive technology for delivering drugs via the skin for different therapeutic applications and have shown great promise in recent years. Microneedles have been expanded and employed in a range of applications, including drug delivery, vaccine delivery, cosmetics, and disease diagnostics [1,2,3,4]. Due to the benefits and relevance of using this technology to overcome the complications of certain drugs to penetrate the stratum corneum, microneedles have gained popularity in recent years. Microneedles provide a painless experience to eliminate the pain and discomfort associated with IV injections [5,6,7]. For that reason, this technology could be an optimal choice for people with trypanophobia and young patients [8]. Furthermore, the convenience of using microneedles for transdermal drug delivery applications does not necessitate the need for a trained individual [9,10,11,12]. Other advantages of using microneedles are that they reduce the risk associated with transmitting infection into the body and tissue damage [13,14,15,16,17,18]. In addition, microneedles have shown the capability of transporting a drug into the body’s circulation [19], monitoring health, and detecting and extracting information from bodies [20].
Different manufacturing methods for fabricating microneedles were proposed, such as lithography [21], injection molding [22], and additive manufacturing [23,24,25]. Kochhar et al. fabricated a microneedle array using a lithography approach, which successfully penetrated cadaver pig skin [26]. The study proposed a simple method (single-step process) considering polymerization time, UV light intensity, and the distance from the light as parameters that impacted and controlled the length and tip diameter of microneedles. Li et al. used injection molding to fabricate hollowed titanium porous microneedle arrays [27]. The study performed several insertion tests on the human forearm and rabbit skin, concluding that microneedles successfully penetrated the skin without fracture. With the recent progress of additive manufacturing technology, several studies have used this technology to enhance the fabrication of microneedles [28,29]. Johnson et al. were the first to fabricate microneedle master molds using commercial 3D printing [30]. With the manipulation of parameter values and printers’ settings that affect the microneedle topology, the authors were able to print a sharp microneedle with a tip radius of 15 μm. Another study of additive manufacturing was proposed by Krieger et al., which introduced a new method to overcome complications with such a technique [31]. The authors argued that in using the proposed method, it is possible to fabricate microneedles with high aspect ratios and sharp needle tips that are required to penetrate the skin. Wet and dry etching have also been used to fabricate microneedles. Ji et al. fabricated solid microneedles that are capable of penetrating the skin with less indentation [32].
The laser ablation method provides unique benefits as compared to other microneedle manufacturing methods. The laser ablation method uses a laser pulse as an energy source to remove a portion of the targeted solid parts [33,34]. The laser beam takes between 10 and 100 nanoseconds to fabricate the microneedle mold on the substrate [35]. This technique imparts desirable mechanical properties and high tensile strength of microneedle array [36]. Compared to photolithography and dry etching processes, laser ablation is a simple, rapid, low-cost laser processing method [37] with the ability to produce high-aspect-ratio microneedle master molds [38]. In utilizing a femtosecond laser, Evens et al. argued that the proposed method enables the production of low-cost microneedles due to their faster processing cycles and minimal laser maintenance, thereby reducing total life cycle costs over traditional methods [39]. Moreover, laser ablation provides significantly higher drug permeability in the receptor chamber and skin layers [40]. Thus, this paper investigated the laser ablation method for fabricating microneedles for transdermal drug delivery and therapeutic applications. Some of the limitations associated with the laser ablation method include the limited choice of fabricated materials [41]. Moreover, there is the possibility of producing contamination or toxicity during the interaction between the pulse and the targeted part [42].
Researchers have used different types of lasers to fabricate microneedle arrays. Tu and Chung used a CO2 laser to fabricate microneedle molds by performing two casting processes. Also, the excimer laser has been studied to investigate the capability of producing microstructure arrays [43]. Further, Zheng et al. used femtosecond laser pulses to study the effects of two temperature conditions on the hole’s geometry [44]. However, this paper proposed a new laser type for manufacturing microneedle molds (arrays) for transdermal drug delivery applications. An ytterbium laser was used to create the microneedle molds with polymethyl methacrylate (PMMA) material due to its higher melting efficiency performed with lower power values [45]. Compared to CO2, ytterbium offers an advantage that includes effective interaction with the target, less energy consumption, and high productivity [46]. Compared to other types of lasers, the ytterbium laser offers a high optical quality, a compact size, an extended lifetime, and a flexible mode of operation [47].
Aldawood et al. asserted that there was no investigation conducted to study optimal process parameters for the fabrication of microneedles [48]. This paper overcomes this gap by investigating the fabrication approaches of microneedle arrays based on the manipulation of five different process parameters. These include defining different sets of parameters, which are the laser power, pulse width, pulse repetition, pulse interval, and design profile (waveform). Also, this research provided a framework for the design and manufacture of microneedles for therapeutic applications. Furthermore, the study included a predictive model for fabricating desired microneedle arrays with a specific dimension.

2. Materials and Methods

The goal of this study was to design and fabricate polymer microneedle molds using a laser ablation technique for the rapid casting of soft or dissolvable microneedles. The provided methods optimize microneedle geometries, test the mechanical properties of fabricated microneedles, and test the skin-piercing forces of polymer microneedles. This approach allows for the assessment of the potential of polymers for transdermal delivery and, further, their potential in the development and manufacture of dissolvable microneedles containing therapeutic peptides.

2.1. Materials

A flat sheet of polymethyl methacrylate (PMMA) material (McMaster-Carr, Aurora, OH, USA, Clear Scratch- and UV-Resistant Cast Acrylic Sheet SKU—8560K919) was used to develop the molds for the microneedle arrays. Due to its non-toxicity, low cost, easy processability, compatibility, and greater fracture resistance, PMMA is a promising polymer in biomedical applications and devices [49,50,51]. PMMA has also been approved by the FDA in medical applications [52]. Microneedles were cast using polydimethylsiloxane (PDMS), which has unique features such as favorable thermal stability and low thermal conductivity [53]. PDMS is also safe, biologically and chemically compatible, flexible, and offers adjustable stiffness and surface adhesion energy [54]. The PDMS (Dow SYLGARD™, Germantown, WI, USA, 184 Silicone Encapsulant Clear, Part number: 184 SIL ELAST KIT 0.5 KG, Thermal Conductivity: 0.16 W/mK, Viscosity: 3500) used in this study was prepared by mixing the polymer resin and a curing agent (weight ratio of 10:1) obtained from Ellsworth Adhesives.

2.2. Research Design

The ablation experiments were performed following the steps shown in Figure 1 using an ytterbium laser system (TLR-1070, IPG Photonics). The laser was focused on a flat sheet of PMMA substrate to create the mold by setting different parameters. IPG Photonics Pulse Shaper GUI 1.1 software was used to set the parameter values, and JR-C-Points software (version 2) was used to program the robot motion to guide the laser movement. The ablation relied on multiple variables, such as the laser power, the number of pulse repetitions, the interval between each pulse, the width of the pulse, and waveform type. A multi-axis Nordson EFD robot was used to guide the laser’s motion. A scanning electron microscope (SEM) was used to measure the diameter and height of the fabricated microneedle arrays. Once the PMMA substrate was ablated with the laser to form a microneedle master mold, it was followed by PDMS casting and releasing to obtain a flexible microneedle array. After that, the cast microneedle array was placed in an oven overnight at 45 °C to create an inverse mold. Sputter-coated needles were imaged using an SEM (Hitachi S-4800) where the shape, diameter, and height of the microneedles were acquired. These procedures were repeated to produce different microneedles based on different parameter values. The time it took to prepare a microneedle mold was less than 1 min using the laser, and it took around 24 h to prepare the microneedle array (casting).

2.2.1. Pilot Study

A pilot study was designed to assess the quality of fabricated microneedle arrays. The input process parameters included waveform (square, triangle, or trapezoid shape), power (ranging from 0 to 200 watts), pulse width (ranging from 0 to 10 ms), repetitions (ranging from 0 to 500 times), and interval time (ranging from 0 to 200 ms). Due to the large range of parameter values, more than 200 experiments were conducted with different parameter values to optimize the data range. The height and diameter of microneedles were evaluated to validate the parameter values chosen. The prior literature has shown that a majority of microneedles have been fabricated with height values ranging between 0.5 and 3 mm and diameter values ranging between 0.1 and 0.25 mm [2,55]. These dimensions have been well suited for therapeutic applications for the penetration of the skin layers to deliver drugs. Thus, the microneedle dimension ranges chosen in our research are based on these findings in the literature. Also, the needle shape, surface roughness, and tip radius of microneedles were considered in the subsequent research.

2.2.2. Design of Experiment

Based on the results of the pilot study, a design of experiment (DOE) was conducted to study the effects of the parameters on the outcomes. This experiment allowed for the evaluation of the factors and all possible combinations of factors on microneedle output quality. In this study, the DOE was defined with five input variables, each with two levels and three replicates (n = 3), for a total of 96 runs. Table 1 shows the input parameters and their levels. The outputs of this experiment were microneedle diameters and heights, which were captured using an SEM.

2.2.3. Predictive Model

Based on the results from the experimental design, a regression analysis test was conducted to predict microneedle diameters and heights. Two regression equations were investigated: one for microneedle diameters and one for microneedle heights. The values of the input factors were entered as shown in Table 1, except the waveform values were replaced with 1 and 2 for the square and trapezoid, respectively. For the output, the values of diameter and height were captured from the Results Section 3. The predictive model using a linear equation followed the formula y = b0 + b1x1 + b2x2 + … + b5x5, where
  • y denotes the predicted response for the experiments (diameter and height).
  • b0 denotes the intercept coefficient.
  • b1–b5 denote the coefficients of the respective input factors waveform, power, pulse width, repetition, and interval, respectively.
  • x1–x5 denote the predictor values for the respective experiment input factors: waveform, power, pulse width, repetition, and interval, respectively.

2.2.4. Mechanical Characterization

The microneedles fabricated using laser ablation were characterized using a mechanical compression test to simulate penetration within the skin. The microneedles were subjected to an axial force in a universal testing machine (Instron® Model 5542, Instron, Norwood, MA, USA) to study the relation between the load applied to the displacement in compression mode. The Instron test station has a ±0.1% crosshead speed accuracy, ±0.015 mm position repeatability, and ±0.4% load measurement accuracy. A compression force was applied parallel to the microneedle height (y-axis) with a speed of 0.5 mm/s. The needle was placed on the bottom fixture of the station. The bottom of each single needle was glued onto the circular glass base and placed on the bottom fixture of the station. The outcome of this test was to identify the values of the force versus the displacement of the microneedle.

3. Results and Discussions

Microneedle arrays were fabricated using an ytterbium laser in polymers, followed by a pilot study showcasing design parameters, mechanical testing outcomes, predictive experimental modeling, and statistical testing. Certain sets of parameters were identified to have better microneedle experimental outcomes with desired geometries. The PDMS needles were primarily used to understand the ablation outcomes to benefit predictive modeling and analysis. Moreover, SEM was used to capture the microneedles’ surface, diameter, and height. Finally, several statistical treatments, including a normality check, response surface, and regression analysis were conducted to draw a conclusion about the capabilities of printed microneedle arrays.

3.1. Pilot Study

After conducting a pilot study, we were able to validate the optimal parameters and their values for further investigation. The results of the pilot study are summarized in Table 2 and explained in subsequent paragraphs.

3.1.1. Waveform

The optimal way of fabricating microneedles in the shape of a pyramid or cone was to use a trapezoid waveform. The option of a square waveform resulted in an optimally shaped microneedle. However, the triangle waveform was not considered an optimal choice since it requires a high-powered beam, resulting in a larger diameter (>2 mm). The findings of the pilot study showed that the triangle waveform required at least 40 watts of laser power to produce a needle; however, it needed more power to produce a pyramid or cone shape. Figure 2 shows a needle that has a triangle waveform with a 40-watt laser power, a 2 mm pulse width, 100 repetitions, and a 0 mm interval time. The microneedle shows a hole due to casting and, thus, this microneedle was excluded from our scope based on the preliminary pilot study. On the other hand, when the power is 60 watts, the triangle form shows a good outcome for the needles (Figure 3).

3.1.2. Laser Power

The laser power value should be in the range of 30 to 40 watts to obtain the desired outcomes for microneedles. Microneedle dimensions should range between 0.5 and 3 mm in height and 0.1 and 0.25 mm in width to be effective in therapeutics [56,57]. Power below 30 watts will not result in any holes and is considered too low to create a needle. Power above 40 watts will result in a large diameter (out-of-specification). Figure 4 shows a needle with a diameter of 1.69 mm created with 60-watt laser power. The laser power is to be used in conjunction with the laser waveform being implemented during microneedle fabrication. From our pilot study, it was revealed that a triangle waveform produced inconsistent microneedles and resulted in a shorter aspect ratio (height to diameter ratio). The trapezoidal and square waveforms that were considered for the final design of experiments were conducted at 30 W and 40 W powers. As higher powers beyond 40 W resulted in larger microneedles (beyond 2 mm in height) these are not effective for therapeutics.

3.1.3. Pulse Width

The optimal range for pulse width was from 3 to 5 ms to approach the desired outcome. Higher values of pulse width resulted in a larger needle diameter. A successful microneedle with a 1 mm diameter was fabricated with a 10 ms pulse width. However, reducing pulse widths to 1.5 ms with higher laser power (80 watts) resulted in poor outcomes due to an extremely short time duration of excitation, as shown in Figure 5.

3.1.4. Number of Repetitions

The optimal values of repetitions ranged between 50 and 100 times. If the number of repetitions was more than 100, it resulted in a large needle diameter. Variations in the number of repetitions with the constant set of the other parameters (square shape form, 30-watt laser power, 5 ms pulse width, and 0 ms interval) resulted in a microneedle diameter of 0.23 mm with 20 repetitions, 0.55 mm with 50 repetitions, 0.65 mm with 100 repetitions, and 0.77 mm with 150 repetitions, respectively.

3.1.5. Interval Time

The optimal values of laser interval time were from 0 ms to 50 ms. A higher interval time will not be able to create microneedle arrays. For this part of the pilot study, the first finding on the optimal interval time concluded that the diameters of the needles were 0.85 mm and 0.3 mm for 0 ms and 50 ms interval times, respectively. Figure 6 shows that an interval time of 100 ms did not result in a microneedle.

3.2. Design of Experiments

Based on the results of the pilot study, two values of each parameter were chosen for further study and investigation. These include waveform (square and trapezoid), power (30 and 40 watts), pulse width (3 and 5 ms), repetition (50 and 100 times), and interval (0 and 50 ms). Using these parameter values, three runs (n = 3) of 32 microneedles were fabricated for further study. The results of the microneedle designs (Table 3) show that all parameter sets produced well-designed microneedles except microneedle number 18. Microneedle number 18 had a trapezoidal shape, 30-watt power, 3 mm pulse width, 50 repetitions, and 50 mm interval time. This microneedle confirms our hypothesis that microneedles are not formed when the process parameters are below their lowest threshold. In this case, the increase in the interval of lasing to 50 ms resulted in lower energy levels and, thereby, not producing a microneedle structure.
Figure 7a and Figure 8a show that the square waveform has the highest impact on the diameter and height compared to the trapezoid shape. Figure 7b and Figure 8b show that all input factors were statistically significant at the 0.05 level with the current model. Some interactions between factors have a significant impact on the diameter and height of the needles. Increasing the values for laser power and pulse width will result in increasing the microneedle’s diameter and height. Increasing the time that a microneedle array is exposed to the laser will result in increasing the microneedle’s diameter and height. Finally, the interval between laser pulses has an inverse relationship to the microneedle’s diameter and height.
Table 4 shows that the interval factor has the highest effect (252.229) on the diameter of the microneedle, with an inverse relationship. The second highest factor that impacts the diameter is the pulse width (243.521). Table 5 shows that the interval has the highest effect (310.833) on the height of microneedles, with an inverse relationship. The power and pulse width accounted for significant factors in the experiment. The waveform affects both the diameter and the height of microneedles. However, this factor has a lower impact on the outcomes compared to other factors. Figure 8 shows that the square waveform is associated with the highest mean diameter and height. On the other hand, the trapezoid waveform is associated with a lower mean for both the diameter and the height of microneedles.
The laser power factor is also a significant factor in this experiment. The laser power has the highest effect on the height of the microneedles but a lower effect on the diameter. Increasing the value of the laser power will create a taller needle (direct correlation). Changing the value of the laser pulse width is a significant factor in this experiment. This factor is considered the second-highest significant factor in the outcomes. The pulse width affects the height slightly more than it affects the diameter. We can conclude that the diameter and height of microneedle designs have a direct correlation with the pulse width factor. Increasing the pulse repetition will result in increasing the diameter and height of the microneedles. However, this factor has the lowest effect values on the outcomes compared to other factors. The pulse interval is a significant factor in this experiment. The pulse interval factor has the highest effect in the experiment on the diameter and the height. The interval factor has an inverse relationship with the values for diameter and height—50 ms was associated with the lowest mean of diameter and height and 0 ms was associated with the highest mean.
There were 14 interactions between factors considered to have a significant effect on the diameter of microneedles (Figure 8). On the other hand, only seven interactions between factors were considered to have a significant impact on height. These interactions had lower impacts on the outcomes of the experiment. The interactions between factors were seen to affect the diameter more than the height of microneedles.

3.2.1. Normality Check

The null hypothesis (H0) for any normality test is that the data are normally distributed or from a Gaussian distribution. If the p-value is <0.05, then it indicates that the null hypothesis is rejected in favor of the alternate hypothesis (H1), which states that the data are not normally distributed. The Shapiro–Wilk test for both the diameter and height datasets had p-values of 0.1746 and 0.13, respectively. Thus, the null hypothesis failed to be rejected, which indicated that all variables were normally distributed. Moreover, the p-values of the Kolmogorov–Smirnov test were 0.15 and 0.281 for the diameter and height, respectively. This also concluded that the data were normally distributed. Figure 9 shows that the experiment was well modeled using a normal distribution, and the random variables underlying the dataset were normally distributed. Figure 10 and Figure 11 show residual plots for both diameter and height, respectively, which indicate that the data are not skewed, have nonconstant variance, and are independent. Both the histograms are symmetrical, showing a better-fit regression model, and the random order of residuals with fitted and observation orders indicates no correlation among themselves.

3.2.2. Response Surface Analysis

The response surface analysis was conducted for both the diameter and height of the microneedles using a central composite design. The two most significant factors in both experiments, which include pulse width and interval, were considered input variables. Figure 12 and Figure 13 show the surface and contour plots for the diameter. The highest values of the diameter for the microneedle array were in the top-left corner of the plot (Figure 13), which corresponds with a high value of pulse width and a low value of interval. The lowest values of the diameter for the microneedle array were in the lower-right corner of the plot, which corresponds with low values of pulse width and high values of interval.
This finding also applies to the response surface analysis of the height of the microneedle array in the same manner (Figure 14 and Figure 15). In this analysis, the null hypothesis (H0) states that there is no relationship between the independent variables (pulse width and pulse interval) and the dependent variable (response variable). The p-values of the pulse width, interval, and the interaction between them were 0.000 for microneedle diameter. The p-values of the pulse width, interval terms, and interaction between them were 0.000, 0.000, and 0.007, respectively, for microneedle height. Since the p-values are less than 0.05, we reject the null hypothesis in favor of the alternate hypothesis, which states that pulse width, pulse interval, and their interactions have a significant influence on the response variables of microneedle diameter and height. Therefore, the full quadratic model of the pulse width and the interval factors (independent variables) significantly affect the response diameter and height (dependent variable). Thus, one can obtain specific values of microneedle diameter and height by choosing a combination of input process parameters.

3.2.3. Predictive Model

A regression model was conducted to predict the relationship between the independent variables and the dependent variables. The ANOVA test with a 95% confidence level shows that the p-value is less than 0.05, which indicates that it is statistically significant (Table 6 and Table 7). Table 8 and Table 9 show the regression statistics and ANOVA for the input of the microneedle diameter. Table 10 and Table 11 show the input data of regression statistics and ANOVA for the microneedle height. From both Table 8 and Table 10, R values were more than 0.9, which indicated that the variance of the parameters was studied and reflected well on the variance of the output. Equation (1) represents a regression model for the diameter of the microneedles, and Equation (2) represents the predictive model for the height of the microneedles. The predictive model equations can give tentative values of diameter and height for a set of chosen input parameters. Moreover, the F-value and p-value of the regression models in Table 9 and Table 11 indicated that both models could be represented on larger population data. The parameter coefficients in Equations (1) and (2) show a generalized model encompassing the limits of feasible process parameter values for the five process parameters (laser waveform, laser power, pulse width, pulse repetition, and interval between pulses). Any microneedles beyond the ranges chosen in this research would result in a “failed” microneedle as discussed earlier. Thus, these equations provide a direct relationship between the parameters and the outputs (diameter and height). These parametric equations serve as a guide for both novice designers and seasoned pharmaceutical professionals to choose process parameters that suit their application.
Diameter (μm) = 89.14 − 226.60 × Waveform + 19.32 × Power + 121.76 × Pulse width + 2.80 × Repetition − 5.04 × Interval
Height (μm) = −544.87 − 193.25 × Waveform + 29.07 × Power + 145.31 × Pulse Width + 3.84 × Repetition − 6.21 × Interval
Finally, a post hoc analysis was conducted using Tukey’s Studentized Range (HSD) Test (Table 12). The findings of this test emphasized the ANOVA test results, where the means are having a significant impact on the fabricated microneedle.

3.3. Mechanical Characterization of Microneedles

The microneedles fabricated using a combination of different process parameters were investigated for mechanical deformation to simulate skin penetration. All microneedle designs shown in Table 3 were subjected to compressive loads along the height of the microneedle. Figure 16 shows six candidate microneedles based on distinct process parameters to show variation in their load–displacement curves. The microneedle number MN corresponds to the respective process parameters in Table 3.
MN2 corresponds to microneedle #2 (waveform: square, power: 30 W, pulse width: 3 ms, repetitions: 50, and interval: 50 ms). Other microneedles—MN11 through MN31—follow similar nomenclatures, and their process parameters can be observed in Table 3. MN2’s process conditions resulted in a microneedle with an average diameter and height of around 700 μm and 500 μm, respectively. Due to a short aspect ratio (AR)—which is the height-to-diameter ratio—of 0.71, this microneedle had a lower deformation of 0.23 mm at a maximum load of 0.47 N as seen in Figure 16. The relatively higher diameter as compared to the microneedle height resulted in a stiffer mechanical response and, thereby, the minimal deformation of the microneedle MN2. This can be attributed to its square laser waveform, lower power (30 W), pulse width (3 ms), lower laser repetition rate (50), and higher lasing interval (50 ms). In contrast, MN31 had the tallest height of around 1.5 mm and diameter of 1.25 mm due to its trapezoidal laser waveform, higher power (40 W), pulse width (5 ms), laser repetition rate (100), and shortest lasing interval (0 ms). This resulted in the highest deformation (1.48 mm) at a load of 3.05 N for MN31, for its aspect ratio of 1.25. Thus, high-aspect-ratio microneedles had higher deformation, which would correspond to higher penetration depths within the skin. A comparative analysis between MN11 and MN12 shows that an increase in the lasing interval between laser pulses results in shorter and smaller-diameter MNs. Thus, MN12, which had a smaller AR (AR = 0.86), required a higher deformation force of 1.66 N as compared to MN11 (AR = 0.91), with a deformation force of 1.12 N, respectively.
In general, process parameters following these trends had higher diameters and heights. These include trapezoidal waveform, higher laser power, longer pulse width, higher laser repetitions, and shorter lasing intervals. The microneedle design is based on the location and skin type of the human body as the penetration force varies on the stratum corneum. Longer and larger-diameter needles (MN 11 and MN 31) display a better ability to penetrate robust skin surfaces similar to the soles of feet, whereas shorter needles (MN2 and MN28) can penetrate delicate skin areas. As seen in Figure 16, all microneedle designs were able to satisfy the function of penetration at varying depths. Shah et al. have demonstrated using a solvent-casting process that the minimum force for a 100-microneedle array was around 4 N [58]. Ning et al. reported that the minimum force required to puncture the human skin with a single microneedle was around 5.8 N [59]. Hyaluronic acid (HA) was used by Chi et al. to develop different dissolvable microneedles. Based on the molecular weight of the HA, they obtained a load of 21.6, 13.9, and 5.9 N per array of 100 microneedles, for 10 k-HA- MN, 74 k-HA-MN, and 290 k-HA-MN, respectively [60]. Based on our findings, researchers and practitioners can, thereby, design custom-aspect-ratio needles by varying multiple process parameters as shown in Table 3 to obtain relevant mechanical deformation based on their application intent in the therapeutic setting.

3.4. Discussion and Future Directions

In this study, we propose a new type of laser ablation method using the ytterbium laser. Many studies have used CO2 as the type of laser to fabricate microneedles; however, Osipov et al. argued that the ytterbium laser is more efficient compared to CO2 laser [61]. Moreover, the ytterbium laser consumed less energy and caused less change in the composition of the nanoparticle elements compared to the CO2 laser [62]. This study also investigated the effects of several different parameters on microneedle manufacturing. Even though many studies have used different parameters [38,63], these studies were limited to two or three parameters while our study explored a comprehensive relationship between five parameters and their effects. The primary aim of this research was to investigate process parameters for a new laser type (ytterbium) for the fabrication of precision microneedles. Ytterbium lasers offer ultra-high-speed processing speeds (femtoseconds) and flexible on-the-fly parameter changes and provide a greener manufacturing practice due to their higher efficiencies [64,65]. Based on our literature search, this is the first time that this laser type has been implemented for microneedle fabrication and, thus, we explore its utility. Our research provides guidance to both researchers and practitioners on how to implement this laser for the customized design and fabrication of microneedles to suit their application intent.
To overcome the limitations associated with the lack of literature and clear guidance in the matter of fabricating microneedle arrays, the study generated predictive regression-based models to generate a microneedle with the desired geometric profile. This predictive model will provide insight for practitioners and researchers to custom design microneedles using the ytterbium laser ablation method. Figure 17 shows a full patch (7 × 9 = 63 microneedles) fabricated using the ytterbium laser. As can be seen in the figure, a consistent and smooth microneedle patch was developed with a suitable aspect ratio. The process conditions to fabricate this microneedle patch include the following: laser waveform (square), power (40 W), pulse width (5 ms), repetition (100), and interval (0 ms). The future directions of this study include drug loading, drug release, and in vitro microneedle degradation studies.

4. Conclusions

A new approach to fabricating microneedles using an ytterbium laser was proposed in this research. A pilot study was conducted to optimize the parameters’ values in order to run a design of experiments by observing the dimensions, profile surface finish, and quality of the needles. This study also investigated the effects of different parameters on the diameter and height of the needles by conducting several statistical tests. Different tests were conducted to draw conclusions from this research, such as response surface design and a full design of experiments. The outcomes of this research showed that all parameters had a significant effect on the experiment. The laser power, pulse width, and the number of repetitions have correlations with the outcomes (diameter and height of the microneedle). In contrast, the interval time between laser beams has an inverse relationship with diameter and height. The most significant factors in the experiment were the laser pulse width and interval time. The trapezoid waveform has a lower impact on the outcomes compared to the square waveform. A predictive model for fabricating the desired geometry of diameter and height of a microneedle array was developed. This research provides a procedural framework for designing and manufacturing microneedle arrays for transdermal drug delivery applications.

Author Contributions

F.K.A., A.A. and S.D. contributed to the conceptualization and methodology of this original research. F.K.A. conducted all experiments, ran the statistical analysis, wrote the original results, and prepared the initial paper draft. A.A. contributed to the review and edited the draft. S.D. contributed to review and editing, supervision, and fund acquisition. All authors have read and agreed to the published version of the manuscript.

Funding

The authors would like to express their gratitude for the funding support received from the National Science Foundation Grant (NSF Award #2100739, #2100850) and the Center of Excellence in Product Design and Advanced Manufacturing at North Carolina A&T State University.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available upon request from the corresponding author. The data are not publicly available due to proprietary formulation.

Conflicts of Interest

The authors declare no conflicts of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of the data; in the writing of the manuscript; or in the decision to publish the results.

References

  1. Donnelly, R.F.; Prausnitz, M.R. The promise of microneedle technologies for drug delivery. Drug Deliv. Transl. Res. 2024, 14, 573–580. [Google Scholar] [CrossRef] [PubMed]
  2. Le, Z.; Yu, J.; Quek, Y.J.; Bai, B.; Li, X.; Shou, Y.; Myint, B.; Xu, C.; Tay, A. Design principles of microneedles for drug delivery and sampling applications. Mater. Today 2023, 63, 137–169. [Google Scholar] [CrossRef]
  3. Luo, X.; Yang, L.; Cui, Y. Microneedles: Materials, fabrication, and biomedical applications. Biomed. Microdevices 2023, 25, 20. [Google Scholar] [CrossRef] [PubMed]
  4. Zhang, Y.; Xu, Y.; Kong, H.; Zhang, J.; Chan, H.F.; Wang, J.; Shao, D.; Tao, Y.; Li, M. Microneedle system for tissue engineering and regenerative medicine. Exploration 2023, 3, 20210170. [Google Scholar] [CrossRef] [PubMed]
  5. Nanda, A.; Nanda, S.; Ghilzai, N.M.K. Current Developments Using Emerging Transdermal Technologies In Physical Enhancement Methods. Curr. Drug Deliv. 2006, 3, 233–242. [Google Scholar] [CrossRef] [PubMed]
  6. Kumar, S.; Sharma, P.K.; Malviya, R.; Alam, A.; Sagar, S. Advances in Microneedle-Based Approaches for Skin Diseases: A Comprehensive Review of Therapeutic Applications and Future Perspectives. Anti-Infect. Agents 2024, 22, 17–35. [Google Scholar] [CrossRef]
  7. Paolino, D.; Sinha, P.; Fresta, M.; Ferrari, M. Drug Delivery Systems. In Encyclopedia of Medical Devices and Instrumentation; John Wiley & Sons, Ltd.: Hoboken, NJ, USA, 2006. [Google Scholar] [CrossRef]
  8. Mooney, K.; McElnay, J.C.; Donnelly, R.F. Parents’ perceptions of microneedle-mediated monitoring as an alternative to blood sampling in the monitoring of their infants. Int. J. Pharm. Pract. 2015, 23, 429–438. [Google Scholar] [CrossRef] [PubMed]
  9. Trimzi, M.A.; Ham, Y.-B. A Needle-Free Jet Injection System for Controlled Release and Repeated Biopharmaceutical Delivery. Pharmaceutics 2021, 13, 1770. [Google Scholar] [CrossRef] [PubMed]
  10. Giudice, E.L.; Campbell, J.D. Needle-free vaccine delivery. Adv. Drug Deliv. Rev. 2006, 58, 68–89. [Google Scholar] [CrossRef]
  11. Ledesma-Feliciano, C.; Chapman, R.; Hooper, J.W.; Elma, K.; Zehrung, D.; Brennan, M.B.; Spiegel, E.K. Improved DNA Vaccine Delivery with Needle-Free Injection Systems. Vaccines 2023, 11, 280. [Google Scholar] [CrossRef]
  12. Generotti, A.; Contreras, R.; Zounes, B.; Schade, E.; Kemme, A.; Rane, Y.; Liu, X.; Elwood, D.; Schultheis, K.; Marston, J.; et al. Intradermal DNA vaccine delivery using vacuum-controlled, needle-free electroporation. Mol. Ther. Nucleic Acids 2023, 34, 102070. [Google Scholar] [CrossRef]
  13. Tettey, F.; Parupelli, S.K.; Desai, S. A Review of Biomedical Devices: Classification, Regulatory Guidelines, Human Factors, Software as a Medical Device, and Cybersecurity. Biomed. Mater. Devices 2024, 2, 316–341. [Google Scholar] [CrossRef]
  14. Birchall, J.C.; Clemo, R.; Anstey, A.; John, D.N. Microneedles in Clinical Practice—An Exploratory Study Into the Opinions of Healthcare Professionals and the Public. Pharm. Res. 2011, 28, 95–106. [Google Scholar] [CrossRef]
  15. Museau, M.; Butdee, S.; Vignat, F. Design and Manufacturing of Microneedles Toward Sustainable Products. KMUTNB Int. J. Appl. Sci. Technol. 2013, 4, 41–51. [Google Scholar]
  16. Avcil, M.; Çelik, A. Microneedles in Drug Delivery: Progress and Challenges. Micromachines 2021, 12, 1321. [Google Scholar] [CrossRef] [PubMed]
  17. Manoj, H.; Gupta, P.; Mohan, L.; Nagai, M.; Wankhar, S.; Santra, T.S. Microneedles: Current Trends and Applications. In Microfluidics and Bio-MEMS; Jenny Stanford Publishing: Dubai, United Arab Emirates, 2020. [Google Scholar]
  18. Xu, J.; Xu, D.; Xuan, X.; He, H. Advances of Microneedles in Biomedical Applications. Molecules 2021, 26, 5912. [Google Scholar] [CrossRef]
  19. Li, B.; Lu, G.; Liu, W.; Liao, L.; Ban, J.; Lu, Z. Formulation and Evaluation of PLGA Nanoparticulate-Based Microneedle System for Potential Treatment of Neurological Diseases. Int. J. Nanomed. 2023, 18, 3745–3760. [Google Scholar] [CrossRef]
  20. Wang, S.; Zhao, M.; Yan, Y.; Li, P.; Huang, W. Flexible Monitoring, Diagnosis, and Therapy by Microneedles with Versatile Materials and Devices toward Multifunction Scope. Research 2023, 6, 0128. [Google Scholar] [CrossRef] [PubMed]
  21. Lee, K.; Jung, H. Drawing lithography for microneedles: A review of fundamentals and biomedical applications. Biomaterials 2012, 33, 7309–7326. [Google Scholar] [CrossRef]
  22. Yung, K.L.; Xu, Y.; Kang, C.; Liu, H.; Tam, K.F.; Ko, S.M.; Kwan, F.Y.; Lee, T.M.H. Sharp tipped plastic hollow microneedle array by microinjection moulding. J. Micromech. Microeng. 2011, 22, 015016. [Google Scholar] [CrossRef]
  23. Parupelli, S.K.; Desai, S. Hybrid additive manufacturing (3D printing) and characterization of functionally gradient materials via in situ laser curing. Int. J. Adv. Manuf. Technol. 2020, 110, 543–556. [Google Scholar] [CrossRef]
  24. Olowe, M.; Parupelli, S.K.; Desai, S. A Review of 3D-Printing of Microneedles. Pharmaceutics 2022, 14, 2693. [Google Scholar] [CrossRef] [PubMed]
  25. Parupelli, S.K.; Desai, S. The 3D Printing of Nanocomposites for Wearable Biosensors: Recent Advances, Challenges, and Prospects. Bioengineering 2024, 11, 32. [Google Scholar] [CrossRef] [PubMed]
  26. Kochhar, J.S.; Goh, W.J.; Chan, S.Y.; Kang, L. A simple method of microneedle array fabrication for transdermal drug delivery. Drug Dev. Ind. Pharm. 2013, 39, 299–309. [Google Scholar] [CrossRef] [PubMed]
  27. Li, J.; Liu, B.; Zhou, Y.; Chen, Z.; Jiang, L.; Yuan, W.; Liang, L. Fabrication of a Ti porous microneedle array by metal injection molding for transdermal drug delivery. PLoS ONE 2017, 12, e0172043. [Google Scholar] [CrossRef] [PubMed]
  28. Aldawood, F.K.; Parupelli, S.K.; Andar, A.; Desai, S. 3D Printing of Biodegradable Polymeric Microneedles for Transdermal Drug Delivery Applications. Pharmaceutics 2024, 16, 237. [Google Scholar] [CrossRef] [PubMed]
  29. Khaled, F.; Desai, S.; Parupelli, S.K.; Andar, A. Polymeric Microneedles Using Additive Manufacturing for Therapeutic Applications. In Proceedings of the IISE Annual Conference & Expo, New Orleans, LA, USA, 21–23 May 2023. [Google Scholar]
  30. Johnson, A.R.; Procopio, A.T. Low cost additive manufacturing of microneedle masters. 3D Print. Med. 2019, 5, 2. [Google Scholar] [CrossRef] [PubMed]
  31. Krieger, K.J.; Bertollo, N.; Dangol, M.; Sheridan, J.T.; Lowery, M.M.; O’cearbhaill, E.D. Simple and customizable method for fabrication of high-aspect ratio microneedle molds using low-cost 3D printing. Microsyst. Nanoeng. 2019, 5, 42. [Google Scholar] [CrossRef] [PubMed]
  32. Ji, J.; Tay, F.E.; Miao, J.; Iliescu, C. Microfabricated Silicon Microneedle Array for Transdermal Drug Delivery. J. Phys. Conf. Ser. 2006, 34, 1127–1131. [Google Scholar] [CrossRef]
  33. Russo, R.E.; Mao, X.L.; Yoo, J.; Gonzalez, J.J. Chapter 3-Laser ablation. In Laser-Induced Breakdown Spectroscopy, 2nd ed.; Singh, J.P., Thakur, S.N., Eds.; Elsevier: Amsterdam, The Netherlands, 2007; pp. 41–70. [Google Scholar] [CrossRef]
  34. Russo, R. Laser ablation in analytical chemistry—A review. Talanta 2002, 57, 425–451. [Google Scholar] [CrossRef]
  35. Jeggy, C. Micro-Injection Moulding: From Process to Modelling; Presses Universitaires de Louvain: Louvain-la-Neuve, Belgium, 2004. [Google Scholar]
  36. Guillot, A.J.; Cordeiro, A.S.; Donnelly, R.F.; Montesinos, M.C.; Garrigues, T.M.; Melero, A. Microneedle-Based Delivery: An Overview of Current Applications and Trends. Pharmaceutics 2020, 12, 569. [Google Scholar] [CrossRef] [PubMed]
  37. Tu, K.-T.; Chung, C.-K. Fabrication of biodegradable polymer microneedle array via CO2 laser ablation. In Proceedings of the 2015 IEEE 10th International Conference on Nano/Micro Engineered and Molecular Systems, NEMS, Xi’an, China, 7–11 April 2015; pp. 494–497. [Google Scholar] [CrossRef]
  38. Tu, K.T.; Chung, C.K. Rapid prototyping of biodegradable microneedle arrays by integrating CO2laser processing and polymer molding. J. Micromech. Microeng. 2016, 26, 065015. [Google Scholar] [CrossRef]
  39. Evens, T.; Van Hileghem, L.; Dosso, F.D.; Lammertyn, J.; Malek, O.; Castagne, S.; Seveno, D.; Van Bael, A. Producing Hollow Polymer Microneedles Using Laser Ablated Molds in an Injection Molding Process. J. Micro Nano-Manuf. 2021, 9, 030902. [Google Scholar] [CrossRef]
  40. Dharadhar, S.; Majumdar, A.; Dhoble, S.; Patravale, V. Microneedles for transdermal drug delivery: A systematic review. Drug Dev. Ind. Pharm. 2019, 45, 188–201. [Google Scholar] [CrossRef] [PubMed]
  41. Chen, Y.-W.; Chen, M.-C.; Wu, K.-W.; Tu, T.-Y. A Facile Approach for Rapid Prototyping of Microneedle Molds, Microwells and Micro-Through-Holes in Various Substrate Materials Using CO2 Laser Drilling. Biomedicines 2020, 8, 427. [Google Scholar] [CrossRef] [PubMed]
  42. Phipps, C. Laser Ablation and Its Applications; Springer: Berlin/Heidelberg, Germany, 2007. [Google Scholar]
  43. Chen, Y.-T.; Ma, K.-J.; Tseng, A.A.; Chen, P. Projection ablation of glass-based single and arrayed microstructures using excimer laser. Opt. Laser Technol. 2005, 37, 271–280. [Google Scholar] [CrossRef]
  44. Zheng, H.; Lam, Y.; Sundarraman, C.; Tran, D. Influence of substrate cooling on femtosecond laser machined hole depth and diameter. Appl. Phys. A 2007, 89, 559–563. [Google Scholar] [CrossRef]
  45. Quintino, L.; Costa, A.; Miranda, R.; Yapp, D.; Kumar, V.; Kong, C. Welding with high power fiber lasers–A preliminary study. Mater. Des. 2007, 28, 1231–1237. [Google Scholar] [CrossRef]
  46. Kotov, Y.A.; Samatov, O.M.; Ivanov, M.G.; Murzakaev, A.M.; Medvedev, A.I.; Timoshenkova, O.R.; Demina, T.M.; V’yukhina, I.V. Production and characteristics of composite nanopowders using a fiber ytterbium laser. Tech. Phys. 2011, 56, 652–655. [Google Scholar] [CrossRef]
  47. Sarp, A.S.K.; Gülsoy, M. Ceramic bracket debonding with ytterbium fiber laser. Lasers Med Sci. 2011, 26, 577–584. [Google Scholar] [CrossRef]
  48. Aldawood, F.K.; Andar, A.; Desai, S. A Comprehensive Review of Microneedles: Types, Materials, Processes, Characterizations and Applications. Polymers 2021, 13, 2815. [Google Scholar] [CrossRef] [PubMed]
  49. Becker, H.; Gärtner, C. Polymer microfabrication technologies for microfluidic systems. Anal. Bioanal. Chem. 2008, 390, 89–111. [Google Scholar] [CrossRef] [PubMed]
  50. Ali, U.; Karim, K.J.B.A.; Buang, N.A. A Review of the Properties and Applications of Poly (Methyl Methacrylate) (PMMA). Polym. Rev. 2015, 55, 678–705. [Google Scholar] [CrossRef]
  51. Janphuang, P.; Laebua, M.; Sriphung, C.; Taweewat, P.; Sirichalarmkul, A.; Sukjantha, K.; Promsawat, N.; Leuasoongnoen, P.; Suphachiaraphan, S.; Phimol, K.; et al. Polymer based microneedle patch fabricated using microinjection moulding. MATEC Web Conf. 2018, 192, 01039. [Google Scholar] [CrossRef]
  52. Ainslie, K.M.; Kraning, C.M.; Desai, T.A. Microfabrication of an asymmetric, multi-layered microdevice for controlled release of orally delivered therapeutics. Lab Chip 2008, 8, 1042–1047. [Google Scholar] [CrossRef] [PubMed]
  53. Demir, Y.K.; Akan, Z.; Kerimoglu, O. Characterization of Polymeric Microneedle Arrays for Transdermal Drug Delivery. PLOS ONE 2013, 8, e77289. [Google Scholar] [CrossRef] [PubMed]
  54. Park, J.-H.; Allen, M.G.; Prausnitz, M.R. Biodegradable polymer microneedles: Fabrication, mechanics and transdermal drug delivery. J. Control. Release 2005, 104, 51–66. [Google Scholar] [CrossRef] [PubMed]
  55. Yadav, S.; Singh, A. Microneedling: Advances and widening horizons. Indian Dermatol. Online J. 2016, 7, 244–254. [Google Scholar] [CrossRef]
  56. Kang, N.-W.; Kim, S.; Lee, J.-Y.; Kim, K.-T.; Choi, Y.; Oh, Y.; Kim, J.; Kim, D.-D.; Park, J.-H. Microneedles for drug delivery: Recent advances in materials and geometry for preclinical and clinical studies. Expert Opin. Drug Deliv. 2021, 18, 929–947. [Google Scholar] [CrossRef]
  57. Kochhar, J.S.; Quek, T.C.; Soon, W.J.; Choi, J.; Zou, S.; Kang, L. Effect of Microneedle Geometry and Supporting Substrate on Microneedle Array Penetration into Skin. J. Pharm. Sci. 2013, 102, 4100–4108. [Google Scholar] [CrossRef]
  58. Shah, S.A.; Oakes, R.S.; Kapnick, S.M.; Jewell, C.M. Mapping the Mechanical and Immunological Profiles of Polymeric Microneedles to Enable Vaccine and Immunotherapy Applications. Front. Immunol. 2022, 13, 843355. [Google Scholar] [CrossRef] [PubMed]
  59. Ning, X.; Wiraja, C.; Lio, D.C.S.; Xu, C. A Double-Layered Microneedle Platform Fabricated through Frozen Spray-Coating. Adv. Heal. Mater. 2020, 9, e2000147. [Google Scholar] [CrossRef] [PubMed]
  60. Chi, Y.; Huang, Y.; Kang, Y.; Dai, G.; Liu, Z.; Xu, K.; Zhong, W. The effects of molecular weight of hyaluronic acid on transdermal delivery efficiencies of dissolving microneedles. Eur. J. Pharm. Sci. 2022, 168, 106075. [Google Scholar] [CrossRef] [PubMed]
  61. Osipov, V.V.; Lisenkov, V.V.; Platonov, V.V. Ablation of oxide materials and production of nanopowders by ytterbium fiber laser. Appl. Phys. A 2015, 118, 1133–1144. [Google Scholar] [CrossRef]
  62. Aldawood, F.; Desai, S.; Andar, A. Laser Fabrication of Polymeric Microneedles for Transdermal Drug Delivery. In Proceedings of the 2021 IISE Annual Conference, Online, 22–25 May 2021; Available online: https://par.nsf.gov/biblio/10297495-laser-fabrication-polymeric-microneedles-transdermal-drug-delivery (accessed on 5 June 2024).
  63. Aoyagi, S.; Izumi, H.; Isono, Y.; Fukuda, M.; Ogawa, H. Laser fabrication of high aspect ratio thin holes on biodegradable polymer and its application to a microneedle. Sens. Actuators A Phys. 2007, 139, 293–302. [Google Scholar] [CrossRef]
  64. Gu, G.; Liu, Z.; Kong, F.; Tam, H.; Shori, R.K.; Dong, L. Highly efficient ytterbium-doped phosphosilicate fiber lasers operating below 1020 nm. Opt. Express 2015, 23, 17693–17700. [Google Scholar] [CrossRef]
  65. Nilsson, J.; Sahu, J.K.; Jeong, Y.; Clarkson, W.A.; Selvas, R.; Grudinin, A.B.; Alam, S. High-power fiber lasers: New developments. In Advances in Fiber Lasers; SPIE: Washington, DC, USA, 2003; pp. 50–59. [Google Scholar] [CrossRef]
Figure 1. Schematic of the microneedle manufacturing process.
Figure 1. Schematic of the microneedle manufacturing process.
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Figure 2. SEM image of a failed microneedle with parameters of triangle waveform and 40-watt laser power.
Figure 2. SEM image of a failed microneedle with parameters of triangle waveform and 40-watt laser power.
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Figure 3. SEM image of microneedle with parameters of triangle waveform and 60-watt laser power.
Figure 3. SEM image of microneedle with parameters of triangle waveform and 60-watt laser power.
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Figure 4. SEM image of microneedle fabricated with 60-watt laser power.
Figure 4. SEM image of microneedle fabricated with 60-watt laser power.
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Figure 5. SEM image of failed microneedle fabricated with 1.5 ms pulse width and 80-watt laser power.
Figure 5. SEM image of failed microneedle fabricated with 1.5 ms pulse width and 80-watt laser power.
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Figure 6. SEM image of a failed microneedle with an interval time of 100 ms.
Figure 6. SEM image of a failed microneedle with an interval time of 100 ms.
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Figure 7. (a) Main effects plot for diameter and (b) Pareto chart of the standardized effects on the diameter.
Figure 7. (a) Main effects plot for diameter and (b) Pareto chart of the standardized effects on the diameter.
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Figure 8. (a) Main effects plot for height and (b) Pareto chart of the standardized effects on the height.
Figure 8. (a) Main effects plot for height and (b) Pareto chart of the standardized effects on the height.
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Figure 9. Normality plot for microneedle (a) diameter and (b) height.
Figure 9. Normality plot for microneedle (a) diameter and (b) height.
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Figure 10. Residual plots for microneedle diameter.
Figure 10. Residual plots for microneedle diameter.
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Figure 11. Residual plots for microneedle height.
Figure 11. Residual plots for microneedle height.
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Figure 12. Surface plot of diameter versus pulse width and interval.
Figure 12. Surface plot of diameter versus pulse width and interval.
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Figure 13. Contour plot of diameter versus pulse width and interval.
Figure 13. Contour plot of diameter versus pulse width and interval.
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Figure 14. Surface plot of height versus pulse width and interval.
Figure 14. Surface plot of height versus pulse width and interval.
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Figure 15. Contour plot of height versus pulse width and interval.
Figure 15. Contour plot of height versus pulse width and interval.
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Figure 16. Demonstration of microneedle displacement for selected microneedles.
Figure 16. Demonstration of microneedle displacement for selected microneedles.
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Figure 17. Microneedle array fabricated using ytterbium laser.
Figure 17. Microneedle array fabricated using ytterbium laser.
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Table 1. Input parameters and their levels.
Table 1. Input parameters and their levels.
ParametersLevel 1Level 2
WaveformSquareTrapezoid
Laser power30 w40 w
Laser pulse width3 ms5 ms
Number of repetitions50 times100 times
Interval time0 ms50 ms
Table 2. Pilot study summary.
Table 2. Pilot study summary.
ParameterValues AvailableOptimal ChoiceReasonValues to Exclude
WaveformSquare, triangle, or trapezoid shapeTrapezoid or SquareA trapezoid will result in having a pyramid or cone shape. A square will result in a fair needle shape.Triangle form required high laser power values, which resulted in a large diameter of the needle.
Power (watts)0 watts to 200 watts30 watts to 40 wattsSeek desired outcomesPower below 30 watts will not result in any holes and is too low to create a needle. Higher power will cause a larger diameter.
Pulse Width (ms)0 to 10 ms3 to 5 msSeek desired outcomesValues higher than 5 ms will cause a larger diameter.
Number of repetitions0 to 500 times50 to 100 timesSeek desired outcomesValues higher than 100 times will cause a larger diameter.
Interval time (ms)0 to 200 ms0 to 50 msSeek desired outcomesValues higher than 50 ms will cause a larger diameter.
Table 3. Microneedle diameter and height results.
Table 3. Microneedle diameter and height results.
ParametersRun 1Run 2Run 3
No.WaveformPower
(watts)
Pulse Width
(ms)
RepetitionsInterval
(ms)
Diameter
(μm)
Height
(μm)
Diameter
(μm)
Height
(μm)
Diameter
(μm)
Height
(μm)
1Square303500917800931796958762
23035050687456782492593505
330310001083995119310331068917
430310050897691858788887673
5305500114411051013108911751153
63055050922871997893940821
73051000127811711235100211931155
8305100501004856952876964924
940350011001011128794511611057
104035050933808939829948766
114031000125010941267115413191213
1240310050101386010279491019877
13405500144114811377105714561532
144055050100999710499331038998
154051000163814851638146116631422
1640510050137211571350109513201103
17Trapezoid303500843577806545808560
183035050230019502540
193031000928785934779937844
2030310050605323597374607323
213055001018810932800903803
223055050827610892605916598
233051000115710351084110811511125
24305100501000815964934950902
25403500953835927735913824
264035050760575820543801496
2740310009921206102911659811267
2840310050649728692770624770
29405500103911481040105110221076
304055050930924946788909797
314051000128612231248173411841005
3240510050110112241009112610151154
Table 4. Parameter Effect Values on Microneedle Diameter.
Table 4. Parameter Effect Values on Microneedle Diameter.
ObservationEffectest1Effects
1A−113.30−226.60
2B96.61193.22
3C121.76243.52
4D70.11140.22
5E−126.11−252.22
6AB−27.19−54.39
7AC16.5333.06
8AD−6.78−13.56
9AE4.829.64
10BC−3.51−7.02
11BD−9.94−19.89
12BE2.404.81
13CD9.4918.97
14CE23.2146.43
15DE−4.30−8.60
16ABC−26.94−53.89
17ACD1.132.27
18ABD−22.13−44.27
19ABE20.6341.27
20ACE31.1962.39
21ADE−3.49−6.97
22BCD37.3474.68
23BCE−23.84−47.68
24BDE−9.65−19.31
25CDE−7.55−15.10
26ABCD0.531.06
27ABCE−8.07−16.14
28ABDE−20.13−40.27
29ACDE−7.03−14.06
30BCDE21.6743.35
31ABCDE7.4014.81
Table 5. Parameter Effect Values on Microneedle Height.
Table 5. Parameter Effect Values on Microneedle Height.
ObservationEffectest1Effects
1A−96.62−193.25
2B145.37290.75
3C145.31290.62
4D96.10192.20
5E−155.41−310.83
6AB19.3938.79
7AC29.0858.16
8AD50.12100.25
9AE−4.18−8.37
10BC−22.25−44.50
11BD−3.41−6.83
12BE−0.85−1.70
13CD−9.60−19.20
14CE29.7959.58
15DE7.7915.58
16ABC−13.14−26.29
17ACD4.008.00
18ABD6.3512.70
19ABE19.8739.75
20ACE28.1056.20
21ADE−7.89−15.79
22BCD17.2034.41
23BCE−14.31−28.62
24BDE−2.18−4.37
25CDE2.835.66
26ABCD−20.60−41.20
27ABCE−5.00−10.00
28ABDE−9.45−18.91
29ACDE9.3918.79
30BCDE9.7719.54
31ABCDE15.4130.83
Table 6. ANOVA Results for Diameter.
Table 6. ANOVA Results for Diameter.
CoefficientsStandard Errort Statp-ValueLower 95%Upper 95%Lower 95.0%Upper 95.0%
Intercept89.1391.360.970.33−92.36270.63−92.36270.63
Waveform−226.6019.81−11.430.00−265.97−187.23−265.97−187.23
Power19.321.989.740.0015.3823.2615.3823.26
Pulse width121.769.9012.280.00102.07141.44102.07141.44
Repetition2.800.397.070.002.013.592.013.59
Interval−5.040.39−12.720.00−5.83−4.25−5.83−4.25
Table 7. ANOVA Results for Height.
Table 7. ANOVA Results for Height.
CoefficientsStandard Errort Statp-ValueLower 95%Upper 95%Lower 95.0%Upper 95.0%
Intercept−544.87121.12−4.490.00−785.50−304.24−785.50−304.24
Waveform−193.2526.27−7.350.00−245.45−141.04−245.45−141.04
Power29.072.6211.060.0023.8534.2923.8534.29
Pulse width145.3113.1311.060.00119.21171.41119.21171.41
Repetition3.840.527.310.002.804.882.804.88
Interval−6.210.52−11.830.00−7.26−5.17−7.26−5.17
Table 8. Effects Values for the Factors on Diameter.
Table 8. Effects Values for the Factors on Diameter.
Multiple R0.931
R Square0.867
Adjusted R Square0.860
Standard Error97.091
Observations96
Table 9. ANOVA Contributions on Diameter.
Table 9. ANOVA Contributions on Diameter.
dfSSMSFp Value
Regression316,283,437.91202,691.55112.28<0.0001
Residual64115,533.331805.21
Total956,398,971.24
Table 10. Effects Values for the Factors on Height.
Table 10. Effects Values for the Factors on Height.
Multiple R0.919
R Square0.845
Adjusted R Square0.836
Standard Error128.721
Observations96
Table 11. ANOVA Contributions on Height.
Table 11. ANOVA Contributions on Height.
dfSSMSFp Value
Regression318,949,791.96288,702.9626.43<0.0001
Residual64699,162.0010,924.41
Total959,648,953.96
Table 12. Tukey’s Studentized Range (HSD) test.
Table 12. Tukey’s Studentized Range (HSD) test.
Tukey’s Studentized Range (HSD) Test for Output
Alpha 0.05
Error Degrees of Freedom 64
Error Mean Square 10,924.41
Critical Value of Studentized Range2.82522
Minimum Significant Difference42.622
Means with the same letter are not significantly different.
Tukey GroupingMeanNWaveform
A993.65481
B800.40482
Tukey GroupingMeanNPower
A1042.404840
B751.654830
Tukey GroupingMeanNPulse
A1042.33485
B751.71483
Tukey GroupingMeanNRepetition
A993.1348100
B800.924850
Tukey GroupingMeanNInterval
A800.40480
B800.404850
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Aldawood, F.K.; Andar, A.; Desai, S. Investigating Laser Ablation Process Parameters for the Fabrication of Customized Microneedle Arrays for Therapeutic Applications. Pharmaceutics 2024, 16, 885. https://doi.org/10.3390/pharmaceutics16070885

AMA Style

Aldawood FK, Andar A, Desai S. Investigating Laser Ablation Process Parameters for the Fabrication of Customized Microneedle Arrays for Therapeutic Applications. Pharmaceutics. 2024; 16(7):885. https://doi.org/10.3390/pharmaceutics16070885

Chicago/Turabian Style

Aldawood, Faisal Khaled, Abhay Andar, and Salil Desai. 2024. "Investigating Laser Ablation Process Parameters for the Fabrication of Customized Microneedle Arrays for Therapeutic Applications" Pharmaceutics 16, no. 7: 885. https://doi.org/10.3390/pharmaceutics16070885

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