| Literature DB >> 26556379 |
Mark Perry1, Steen Ulrik Madsen2, Tine Jørgensen3, Sylvie Braekevelt4, Karsten Lauritzen5, Claus Hélix-Nielsen6,7,8.
Abstract
The discovery of selective water channel proteins-aquaporins-has prompted growing interest in using these proteins, as the building blocks for designing new types of membranes. However, as with any other new and potentially disruptive technology, barriers for successful market entry exist. One category includes customer-related barriers, which can be influenced to some extent. Another category includes market-technical-related barriers, which can be very difficult to overcome by an organization/company aiming at successfully introducing their innovation on the market-in particular if both the organization and the technology are at early stages. Often, one faces barriers from both these categories at the same time, which makes it necessary to gain insight of the particular market when introducing a new innovative product. In this review we present the basic concepts and discuss some of these barriers and challenges associated with introducing biomimetic aquaporin membranes. These include technical issues in membrane production and product testing. Then we discuss possible business models for introducing new technologies in general, followed by a presentation of beach-head market segments relevant for biomimetic aquaporin membranes.Entities:
Keywords: aquaporin membranes; biomimetics; commercialization; early stage technology
Year: 2015 PMID: 26556379 PMCID: PMC4704006 DOI: 10.3390/membranes5040685
Source DB: PubMed Journal: Membranes (Basel) ISSN: 2077-0375
Figure 1Left: The water-energy-food nexus, where provision of one element depends directly on the availability of the two others. Right: the challenges faced in the various water sectors. These can constitute key drivers for the development of innovative solutions and resilient technologies which can help in ensuring short- and long-term sustainability in water use.
Figure 2Schematic presentation of biomimetic aquaporin membrane designs (A): vesicles (blue) with embedded aquaporin protein (yellow) are immobilized in a polymer layer (orange) on a porous support substrate (beige); (B): supported membrane layer with aquaporin protein (yellow) is embedded in a flat layer (blue) deposited onto a porous support (beige). Adapted after [14].
Effect of high and low pH feed values. Tests were made with 1 L Milli-Q water spiked with 5 µM calcein (MW 622.55, Sigma, Aldrich, MO, USA) as feed solution and 2 M NaCl as draw solution. Measurements of water flux, reverse salt flux (conductivity), and calcein rejection (fluorometry) were performed on a membrane coupon mounted in a CF042 Sterlitech chamber (Sterlitech Corporation, Kent, WA, USA) with the active layer facing the feed solution and a counter crossflow rate of 50 mL min−1 corresponding to 0.85 cm min−1. Values are presented as mean +/− standard deviation over 1200 min with a sampling rate of 5 min−1 (n = 3).
| Feed | n | ||||
|---|---|---|---|---|---|
| pH 7 | 14 | 12.60 ± 1.21 | 3.88 ± 0.83 | 0.31 ± 0.05 | 99.80 ± 0.22 |
| pH 2.0 | 3 | 5.60 ± 0.79 | - | - | - |
| Re-run at pH 7 | 3 | 12.22 ± 0.95 | 4.32 ± 0.26 | 0.35 ± 0.01 | 99.71 ± 0.19 |
| pH11.0 | 3 | 7.44 ± 0.57 | - | - | - |
| Re-run at pH 7 | 3 | 11.49 ± 2.42 | 4.17 ± 0.49 | 0.38 ± 0.12 | 99.55 ± 0.16 |
Effects of high and low operational temperatures. Experiments were made as described for Table 1. Values are presented as mean +/− standard deviation over 900 min with a sampling rate of 5 min−1 (n = 3).
| Temperature | |||||
|---|---|---|---|---|---|
| Reference 22°C | 14 | 12.60 ± 1.21 | 3.88 ± 0.83 | 0.31 ± 0.05 | 99.80 ± 0.22 |
| Heated to 65°C | 3 | 22.09 ± 3.93 | 7.49 ± 3.4 | 0.33 ± 0.11 | 99.75 ± 0.29 |
| Re-run at 22°C | 1 | 11.55 | 4.08 | 0.35 | 99.81 |
| Heated to 50°C | 3 | 20.16 ± 6.20 | 3.67 ± 2.41 | 0.19 ± 0.11 | 99.92 ± 0.06 |
| Re-run at 22°C | 1 | 12.37 | 2.43 | 0.20 | 99.70 |
| Cooled to 10°C | 3 | 7.02 ± 0.16 | 2.43 ± 0.89 | 0.34 ± 0.12 | 99.95 ± 0.02 |
| Re-run at 22°C | 1 | 13.16 | 3.30 | 0.25 | 99.95 |
Figure 3Effects of long term storage. Experiments were performed as described for Table 1. Sterlitech chamber with the active layer facing the feed solution. Values are presented as mean +/− standard deviation over 900 min (n = 3).
Figure 4Effects of draw solution on water flux and reverse solute flux. Experiments were made as described for Table 1. Values are presented as mean +/− standard deviation over 900 min with a sampling rate of 5 min−1 (n = 3).
Effects of cleaning agents. Cleaning treatments were performed by circulating 0.3% CA (pH 2.2) and 0.8% EDTA (pH 9.0). Experimental conditions as given in the legend to Table 1. Each side of the membrane was treated with the treatment solution 50 ml/min for 15 min with a sampling rate of 1 min−1. Values are expressed as mean +/− standard deviation (n = 3).
| Cleaning | ||||
|---|---|---|---|---|
| Before CA treatment | 10.33 | 2.26 | 0.44 | 99.94 |
| After CA treatment | 11.43 | 3.40 | 0.30 | 99.76 |
| Before ETDA treatment | 10.06 | 2.23 | 0.22 | 99.94 |
| After EDTA treatment | 10.99 | 3.51 | 0.32 | 99.00 |
Aquaporin Inside™ flat sheet FO membrane specifications as supplied by Aquaporin A/S.
| Membrane Thickness: | 110 µm (+/− 15 µm) |
|---|---|
| Water flux: | > 7 L/m2/h (H2O |
| NaCl reverse flux: | < 2 g/m2/h (H2O |
| Boron rejection: | >70% |
| Arsenic rejection: | >95% |
Figure 5Porter’s five force analysis model for understanding where power lies in a business situation [24]. This model is used to analyze the strength of a current competitive position (e.g., between existing water technologies in the dairy industry), and the strength of a position one is considering moving into (i.e., when introducing a new potentially disruptive technology such as biomimetic membranes).