Team:Cornell/Business

From 2011.igem.org

Revision as of 23:32, 28 September 2011 by Cpaduano (Talk | contribs)

Project Description | Future Directions | Business Development | Outreach/HP | Safety

Business Cost Analysis

We have created a system in which products can be created continuously instead of in large batches. The following is an analysis of how our system matches up with current industrial standards.

Capital Expenditure

The batch production process has an advantage over our system in that it requires less capital and has a better economy of scale. Our system presents a linear economy of scale because we need to run chips in parallel to create more product. Batch production has a near-logarithmic economy of scale, since scaling up production (by increasing the size of the batch and overall machine) costs less up to a reasonable level.

Operating Expenditure

Batch production has a lower cost of operation for relatively cheap bio-pharmaceuticals. However, operating cost can climb steeply if the yield is low or quality is important. For most expensive pharmaceuticals, some or all of the following factors have the potential to raise costs:

  1. Presence of side reactions, where resources are used to produce unwanted byproducts instead of the target product.
  2. Toxic intermediates, which can often kill the host cell before large yields of the target product can be reached.
  3. Pharmaceuticals are created intracellularly. In order to extract the products, companies must lyse cells and purify the products. About 50% of the cost of creating intracellular pharmaceuticals is in the cost of purification. There are often 5-7 steps required in purification to remove all cell lysate, including organelles, unwanted proteins, DNA, etc.
  4. Quality factors, such as pH, temperature, concentration, etc., must be highly regulated.
    • Different temperature, pH, etc. may be needed for different steps in the overall reaction. For example, even if it is known that a pH of 5 optimizes the efficiency of the first step in a reaction, the optimal pH of the second step may not be the same. It is difficult to modulate the conditions within cells effectively, so optimal reaction conditions may not be achievable for every step in production.
    • Quality factors must be at a very specific value. Since mixing in a batch-processing does not perfectly homogenize the solution, there may be different values (of concentration, pH, etc.) at different locations.

How our system solves the previously stated problems often found in batch processing:

  1. In the cell, a wide variety of enzymes often contain pathways for the creation of other products that reduce the yield of the target pharmaceutical. We avoid side reactions because our system only includes the enzymes for a single biochemical pathway.
  2. Once the microfluidic chip is coated, there will be no need for cells. Therefore, toxic intermediates in the biochemical pathway are not a factor.
  3. Purification of our system would be much cheaper than what is used in industry. On one hand, there will be some intermediates in our solution because we will not be able obtain 100% yield. On the other hand, our method still eliminates most steps in the purification process.
    • Our system allows us to have different quality factor values at each step, because each step occurs in a different microfluidic chip. For example, we can have different pH levels or temperatures on different chips. Therefore, this feature may enable our process to have a much higher yield than the batch process.
    • Since we use only a small volume of reactions at a given time, we have a more homogenized solution and can control quality factors much more closely. In contrast, large batches require large volumes, making quality factors more difficult to control.