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Thermal Stability of Drop-surf Fluorosurfactant in PCR and Reverse Transcription

Droplet microfluidics technology has become a core tool in molecular biology experiments due to its high throughput, low sample consumption, and precise control capabilities, showing significant advantages in fields such as digital polymerase chain reaction (ddPCR) and single-cell analysis. Among these, the performance of surfactant determines the stability of the droplet system, affecting the accuracy and reproducibility of experimental results.

Thermal stability is a critical indicator for evaluating the suitability of surfactants in molecular biology experiments. Key steps such as reverse transcription and ddPCR involve medium to high-temperature reactions, imposing strict requirements on the heat resistance of surfactant. Reverse transcription requires maintaining enzyme activity at 40-50°C, followed by enzyme inactivation through high temperatures. ddPCR undergoes multiple cycles of high and low temperatures, where the droplet interface is susceptible to temperature fluctuations. Insufficient thermal stability can lead to issues such as droplet coalescence, interfering with experiments.

Drop-Surf, a commercially available fluorosurfactant widely employed in molecular biology experiments, has thermal stability directly related to droplet system stability and experimental result reliability. To objectively and comprehensively evaluate its core performance advantages, this study selected two internationally recognized fluorosurfactants, one from a French brand (hereinafter referred to as Brand F) and one from a U.S. brand (hereinafter referred to as Brand A), as controls. Through systematic comparative testing in two key molecular biology experimental scenarios, reverse transcription (RT) and ddPCR, we focused on thermal stability as the core performance indicator. This approach aims to provide robust data support and practical reference for the scientific selection of surfactants by experimental personnel.

Thermal stability of Drop-surf fluorosurfactant in ddPCR
Figure 1 Comparison of droplet stability before (A) and after (B) ddPCR

As shown in Figure 1, after ddPCR treatment, the thermal stability of droplets formed by three commercial surfactants showed significant differences. Droplets corresponding to Brand A surfactant exhibited severe coalescence, while those formed with Brand F surfactant showed slightly better thermal stability with relatively lower coalescence; droplets corresponding to Drop-Surf surfactant demonstrated relatively outstanding thermal stability, with almost no obvious coalescence observed. This result was further confirmed by the microscope images shown in Figure 2.

Figure 2 Microscope comparison of droplet morphology before (A- C) and after (D-F) ddPCR
Figure 2 Microscope comparison of droplet morphology before (A- C) and after (D-F) ddPCR

As illustrated in Figure 3A, following ddPCR treatment, the mean absolute variation in droplet size among the three surfactants was found to be negligible. However, significant differences were observed in monodispersity (measured by coefficient of variation, C.V.). The droplet C.V. for the surfactants from Brand A and Brand F was 22.83% and 15.41%, respectively, with both indicating a substantial decline in monodispersity after ddPCR treatment. Conversely, droplets corresponding to Drop-Surf had a C.V. of only 6.09%, demonstrating relatively excellent monodispersity. This result is consistent with the conclusions drawn in preceding analyses.

Figure 3 Monodispersity of droplets before and after ddPCR (A) and the coalescence rate of droplets (B) after ddPCR
Figure 3 Monodispersity of droplets before and after ddPCR (A) and the coalescence rate of droplets (B) after ddPCR

Figure 3B presents coalescence rate of droplets after ddPCR treatment. The result shows that the coalescence rates for the surfactants from Brand A and Brand F were 4.84% and 1.51%, respectively. In contrast, the droplet coalescence rate for Drop-Surf surfactant was only 0.51%, significantly lower than those of the other two surfactants. This quantitative data further robustly substantiates, from the perspective of coalescence rate, that Drop-Surf exhibits exceptional thermal stability during ddPCR processing.

Figure 4 Comparison of droplet stability before (A) and after (B) RT
Figure 4 Comparison of droplet stability before (A) and after (B) RT

As shown in Figure 4, after RT treatment, the thermal stability of droplets formed by three commercial surfactants exhibited no significant differences, with no obvious coalescence observed. This conclusion is further compellingly supported by the microscopic comparison images presented in Figure 5, which provide visual confirmation of the consistent thermal stability among the surfactants.

Figure 5 Microscope comparison of droplet stability before (A-C) and after (D-F) RT
Figure 5 Microscope comparison of droplet stability before (A-C) and after (D-F) RT

Figure 6A provides a quantitative analysis of the mean absolute variation and monodispersity among the three surfactants, both before and after RT treatment. The results offer robust additional support for the conclusions drawn previously.

Figure 6 Monodispersity of droplets before and after RT (A) and the coalescence rate of droplets (B) after RT
Figure 6 Monodispersity of droplets before and after RT (A) and the coalescence rate of droplets (B) after RT

Figure 6B presents coalescence rate of droplets after RT treatment, The result shows that the coalescence rates for the surfactants from Brand A, Brand F and Drop-Surf surfactants were 0.58%, 0.32%, and 0.01%, respectively. This quantitative evidence further strongly demonstrates that the differences in thermal stability among the three surfactants are not statistically significant during RT.

Fluorosurfactants: Drop-Surf (DGO-N-001), Brand F (a French brand), Brand A (a U.S. brand)

Base oil:3M Novec™ 7500 (HFE-7500)

Table 1. ddPCR reagents

 Initial concentrationVolume (µL)Final concentration
Tris-HCl(pH=8.0)1000 mM5010 mM
KCl1000 mM25050 mM
MgCl2300 mM251.5 mM
Tween-2010%500.10%
dd H2O4625
Total Volume5000

Table 2. RT reagents

 Initial concentrationVolume (µL)Final concentration
Tris-HCl(pH=8.0)1000 mM25050 mM
KCl1000 mM37575 mM
MgCl2300 mM503 mM
Glycerol50%5005%
DTT1000 mM5010 mM
TritonX-10010%500.10%
Tween-2010%4000.80%
dd H2O3305
Total Volume5000

Equipment: FluidicLab pressure controller and flow sensors, PCR instrument (Bio-Rad), ordinary optical microscope.

Table 3. Droplet generation for ddPCR

Microfluidic chipPDMS-FF-100
Continuous phase2% w/w surfactants dissolved in HFE-7500 base oil
Dispersed phaseddPCR reagents
Continuous phase flow rate30 µL/min
Dispersed phase flow rate20 µL/min

Table 4. ddPCR program

StepTemperatureTimeCycle
195℃3 min1
298℃20 s 40
365℃20 s
472℃30 s
572℃3 min1
64℃10 min1

Stability evaluation:50 µL emulsion was placed in a PCR tube and tested according to the corresponding ddPCR program

Table 5. Droplet generation for RT

Microfluidic chipPDMS-FF-100
Continuous phase2% w/w surfactants dissolved in HFE-7500 base oil
Dispersed phaseRT reagents
Continuous phase flow rate30 µL/min
Dispersed phase flow rate20 µL/min

Table 6. RT program

StepTemperatureTimeCycle
142℃90 min1
250℃2 min11
342℃2 min
485℃5 min1
54℃10 min1

Stability evaluation:50 µL emulsion was placed in a PCR tube and tested according to the corresponding RT program

Control of a single variable: Three surfactants were added at consistent concentrations with other reaction conditions unified.

Triplicate experiments: Each group was performed in triplicate to reduce random errors.

Evaluation indicators: Mean droplet size before and after reaction (µm), C.V. of average droplet size, droplet coalescence rate after temperature cycling (number of fused droplets/total number of droplets×100%)

Note: This study only reflects the performance under laboratory conditions, and the practical application performance may vary due to differences in experimental conditions.

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