Browse content similar to Mark Post - Professor of Physiology, Maastricht University. Check below for episodes and series from the same categories and more!
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have the wrong priorities. There you go. Now on BBC News, it's time for | :00:03. | :00:13. | |
:00:13. | :00:18. | ||
In what has been billed as a world first, fast food grown in laboratory | :00:18. | :00:21. | |
has been served up in London recently. Professor Mark Post says | :00:21. | :00:26. | |
is in the trade burger could leave the answer to our unsustainable | :00:26. | :00:29. | |
appetite for meat and help ease the burden on the environment. There is | :00:29. | :00:34. | |
a need for more meat. The World Health Organisation estimates annual | :00:35. | :00:38. | |
growth production will have to double by 2050. We'll meet grown | :00:39. | :00:43. | |
from stem cells and a scientist 's lab retreat ever make it to our | :00:43. | :00:53. | |
:00:53. | :01:14. | ||
have been working on this for a long time but this week he tested it for | :01:14. | :01:22. | |
the first time. Before the presentation, F samples of it. | :01:22. | :01:26. | |
is it like? It is like meat. It is not exactly the same yet because it | :01:26. | :01:31. | |
does not have any facts in its. is not taste like animal meat yet? | :01:31. | :01:39. | |
It does, but without the facts. The fact adds to the taste. What does it | :01:39. | :01:47. | |
let like when it is in a petri-dish? It looks like the meat fibres but | :01:47. | :01:54. | |
without colour. We added colour, organic colours. Read the treat and | :01:54. | :02:00. | |
saffron. We can fix the colour but it takes a bit longer. The meat you | :02:00. | :02:05. | |
produce in the laps are tiny little strips. You're not yet producing | :02:05. | :02:11. | |
slabs of meat. That is correct. Slabs of meat cannot be made at this | :02:11. | :02:16. | |
stage. The technology is bad but it will need to be implemented to make | :02:16. | :02:22. | |
it ekes lap and that is more complex than the small slivers of meat. | :02:22. | :02:27. | |
of the British newspapers are calling it a Frankenberg. We will | :02:27. | :02:32. | |
get to those in a minute. How did you do it? You start with a single | :02:32. | :02:38. | |
stem cell from an adult animal. start with a little piece of meat | :02:38. | :02:45. | |
from a cow. It has themselves in it waiting to repair tissue in case of | :02:45. | :02:51. | |
injury. We use the property of those cells to create meat. How would this | :02:51. | :02:57. | |
happen? The cells divide and multiply. Normally our skeletal | :02:57. | :03:02. | |
muscles to not do that but these repair cells do. We use the property | :03:02. | :03:10. | |
to make one sell up to 40 billion cells. Because these are designated | :03:10. | :03:15. | |
to become muscle cells, we can easily create a condition for them | :03:15. | :03:20. | |
to make muscle fibres, small muscle fibres. Every 1 million cell makes | :03:20. | :03:28. | |
one muscle fibre. If we have 20,000 of those. It sounds as, that they | :03:28. | :03:34. | |
have to exercise. Muscle needs to be exercised for it to bulk up and | :03:35. | :03:42. | |
produce protein. They do that by themselves. If we give them the | :03:42. | :03:46. | |
right conditions, they will start to contract and build up tension. That | :03:46. | :03:50. | |
is the primary stimulus. And you don't have two stimulator marked | :03:51. | :03:57. | |
officially to do that. Not quite. It improves if we do artificially | :03:57. | :04:05. | |
stimulate them but from an energy efficiency point of view, not really | :04:05. | :04:13. | |
beneficial. And there are 60 Ian cells in a single burger. 40-60.How | :04:14. | :04:19. | |
long does it take in the latter, with that. In our lab, it takes | :04:19. | :04:24. | |
three months, which is already faster than a cow. If you have | :04:24. | :04:28. | |
sufficient capacity to grow the cells at the same time, you can get | :04:28. | :04:38. | |
:04:38. | :04:38. | ||
it down to about eight weeks. than a cow. Starting with a single | :04:38. | :04:43. | |
stem cell, how much meat could you produce? Theoretically, you can make | :04:43. | :04:51. | |
ten tonnes of meat. 10,000 kg? Theoretically. Is the technology | :04:51. | :04:58. | |
they are to do it? It is but you just have to optimise it in the lap | :04:58. | :05:04. | |
or the factory to make that happen. What would it look like? An Olympic | :05:04. | :05:06. | |
size swimming pool full of artificially created meat? Pretty | :05:06. | :05:14. | |
much. And for a town like London, it would have about 1200 of those | :05:14. | :05:22. | |
Olympic sized sprinkles for a year, to feed the town for a year. At the | :05:22. | :05:27. | |
moment, you can only make little granules of meat. Anything thicker, | :05:27. | :05:31. | |
the cells beneath the surface begin to die because they can't get | :05:31. | :05:36. | |
oxygen. How do you overcome that? The same way our body does, by | :05:36. | :05:45. | |
treating blood vessels and flowing nutrients with oxygen so that you | :05:45. | :05:49. | |
can get into every look and cranny of the tissue. You have to | :05:49. | :05:54. | |
artificially correct blood vessels as well? Yes. That was actually | :05:54. | :06:04. | |
:06:04. | :06:04. | ||
might written all scientific career, making artificial blood vessels. Or | :06:04. | :06:10. | |
making cells for bypass grafting. That is a lot of scepticism about | :06:10. | :06:20. | |
:06:20. | :06:23. | ||
this. One Dutch person said, he was at go back to use embryonic stem | :06:23. | :06:26. | |
cells at some point if he wants to make this commercially viable. Is | :06:26. | :06:33. | |
that true? We do a lot of collaboration with Hank and we | :06:33. | :06:39. | |
admire each other's work. This is one point where we disagree. You | :06:39. | :06:43. | |
could use embryonic stem cells but there are issues with that, ethical | :06:43. | :06:50. | |
issues. They grow slow and we are not able to grow them from a cow or | :06:50. | :06:54. | |
peek at the moment. He is working very hard on that and I hope he | :06:54. | :06:58. | |
succeeds. In the meantime, we have the cells in our skeletal muscle | :06:58. | :07:04. | |
that are stem cells but we will need to harvest them more often from a | :07:04. | :07:11. | |
cow to produce the meat. If you take one stem cell, it can make 10,000 kg | :07:11. | :07:18. | |
of meat out of it. But you will still need Cowles. I happen to think | :07:18. | :07:25. | |
that is an advantage. These cells divide and divide and multiply. Do | :07:25. | :07:35. | |
they divide indefinitely? Is there a limit? There is with the adult stem | :07:35. | :07:40. | |
cells are limit to how often they divide. We have them up to 50 | :07:40. | :07:45. | |
divisions which is how you come up with the number of 10,000 kg. | :07:45. | :07:49. | |
Embryonic stem cells can divide for a much longer time. The advantage of | :07:49. | :07:56. | |
a embryonic stem cell. Let's talk about whether this might be the | :07:56. | :08:03. | |
future of food. You envision it laboratories, giant test tubes. Is | :08:03. | :08:08. | |
that the way we are heading in the food industry? I think it is the way | :08:08. | :08:13. | |
we might be heading. This is presented as an alternative for | :08:13. | :08:17. | |
clearly unsustainable meat production through livestock. You | :08:17. | :08:27. | |
:08:27. | :08:27. | ||
can scale it up by Olympic sized swimming pools and you can groom | :08:27. | :08:31. | |
each in a sustainable way without the ethical issue without | :08:31. | :08:38. | |
environmental issues. Will it replace livestock? Not entirely | :08:38. | :08:44. | |
because we will still need donor animals to supply the cells. And if | :08:44. | :08:50. | |
you want keep livestock, you can, but you have to be a word that they | :08:51. | :08:57. | |
are a burden for the environment. Can this be done on a small scale? | :08:57. | :09:05. | |
In kitchens? I have been proposing to avert the fear or distrust. You | :09:05. | :09:10. | |
could do this in the comfort of your kitchen but you need to know two | :09:10. | :09:15. | |
months in advance what you are going to eat. Is it fair to call it meat? | :09:15. | :09:21. | |
Eventually, it is going to be meat. It is just great outside of the cow. | :09:21. | :09:26. | |
It is exactly the same composition and material. Eventually, it will | :09:26. | :09:30. | |
look and feel and taste exactly the same. A lot depends on your being | :09:30. | :09:38. | |
able to do this to a very large scale. Let me quote something from a | :09:38. | :09:42. | |
biologist from UCLA. Whenever I hear about industrial scale as they | :09:42. | :09:47. | |
cure, my scepticism alarm start going off. Cell cultures were the | :09:47. | :09:50. | |
most expensive and resource intensive techniques in modern | :09:50. | :09:55. | |
biology. Keeping cells warm and healthy and well fed and free of | :09:55. | :09:58. | |
contamination takes incredible labour and energy, even when scaled | :09:58. | :10:03. | |
to the 10,000 litre fact that people are talking about. We have a machine | :10:03. | :10:08. | |
to do this. It is called a cow. Why do you need to produce a VAT? | :10:08. | :10:14. | |
cow is inefficient. It has 15% conversion of vegetable proteins | :10:14. | :10:22. | |
into animal protein. It is clearly inefficient. Currently, the cell | :10:22. | :10:27. | |
culture technologies are also inefficient. But there are many, | :10:27. | :10:31. | |
many strides forward to make it more efficient. And we have much more | :10:31. | :10:34. | |
variability and much more control over the whole process to eventually | :10:34. | :10:42. | |
make it more efficient. Doctor Robert Spyro says that this idea is | :10:42. | :10:48. | |
a fantasy promoted by scientists who neglect the social and emotional | :10:48. | :10:51. | |
meaning of food. This is the big danger, flying in the face of public | :10:51. | :11:01. | |
:11:01. | :11:03. | ||
sentiment. I am not sure where the emotion comes from if you convert it | :11:03. | :11:09. | |
that into various areas. We are already familiar with high-tech | :11:09. | :11:15. | |
foods, fast foods, artificially made foods, and we started doing that | :11:15. | :11:21. | |
13,000 years ago when we domesticated grasses and made | :11:21. | :11:26. | |
something that was natural into something that was much more like an | :11:26. | :11:31. | |
efficient way of producing crops will stop and we built our societies | :11:31. | :11:41. | |
:11:41. | :11:42. | ||
on that. So we on moving step-by-step towards more | :11:42. | :11:52. | |
:11:52. | :11:53. | ||
technological foods. The idea of having a dominion of the | :11:53. | :11:59. | |
nature seems to so often lead to catastrophe. Right. Again, you have | :11:59. | :12:06. | |
to analyse whether fear is coming from. My sense is that it comes from | :12:06. | :12:13. | |
basically this trust towards large companies, human intervention in | :12:13. | :12:19. | |
general. Mistakes are being made, malpractices are out there. You | :12:19. | :12:23. | |
should separate that from the technology because if you can do | :12:23. | :12:27. | |
this in your home and like you make renting a home, you can avert those | :12:27. | :12:31. | |
issues. This is not a very permissive environment to be doing | :12:31. | :12:37. | |
this in, but it leak in Europe. The GM company has pulled out of Europe | :12:37. | :12:44. | |
because they can not get the licences. It is because of the | :12:44. | :12:51. | |
entrenched nature of public scepticism. I am not sure what the | :12:51. | :13:00. | |
entrenched nature of public scepticism... The public realises | :13:00. | :13:04. | |
the issues with current meat production and there is scepticism | :13:04. | :13:07. | |
towards current meat production, which seems natural, but we all know | :13:07. | :13:14. | |
that it is not. This is about public perception as much as anything. GM | :13:14. | :13:17. | |
got off to a very bad start in Britain as well as Europe, and it | :13:17. | :13:21. | |
never really recovered. It has been hanging in there for years and years | :13:21. | :13:27. | |
and in the end, they have given up. Let us make this very clear. This is | :13:27. | :13:32. | |
not GM food. This is just using the same cells and letting them do their | :13:32. | :13:39. | |
thing but not in a car but in a laboratory or in a factory. -- not | :13:39. | :13:43. | |
in an animal. And it does not have the potential risks of GM that it | :13:43. | :13:46. | |
disturbs the natural balance in an animal. And it does not have the | :13:46. | :13:48. | |
potential risks of GM that it disturbs the natural balancing | :13:48. | :13:51. | |
ecosystems because it is not our air in an ecosystem, it is taken out of | :13:51. | :14:00. | |
it. So, it does not carry the same risks as GM. Many believe this flies | :14:00. | :14:04. | |
in the face of entrenched public sentiment. Phil Hadley says this is | :14:04. | :14:08. | |
the antithesis of the direction the consumer is going in. Its chemical | :14:08. | :14:11. | |
and synthetic at a time when people are seeking out natural product, | :14:11. | :14:19. | |
where they know the history and where it came from. Right. And yet | :14:19. | :14:25. | |
ended ended with 68% of Britons wanting to | :14:25. | :14:33. | |
try this. So, I think, yeah, might be a trend towards organic and | :14:33. | :14:39. | |
natural but that is not a large-scale consumption of meat. | :14:39. | :14:46. | |
People want cheap meat. They want readily available... They do not | :14:46. | :14:50. | |
want meat they do not trust. The recent horse meat scandal all over | :14:50. | :14:53. | |
Europe confirmed that strongly and led to a decrease in meat | :14:53. | :14:59. | |
consumption over Europe. Right. And that is Europe. There are different | :14:59. | :15:05. | |
regions all over the globe. When you mention that the World Health | :15:05. | :15:07. | |
Organisation predicts a global growing of meet demand, possibly | :15:07. | :15:12. | |
doubling, that will not happen in Europe, it will happen in areas | :15:12. | :15:18. | |
where the middle class is rising like in China, India, South America | :15:18. | :15:21. | |
and possibly Africa. That is where the growing meat demand is | :15:21. | :15:27. | |
happening. You distinguish yourself explicitly from the GM experiment at | :15:27. | :15:31. | |
the moment but there is something that you share with them and that is | :15:31. | :15:34. | |
the scepticism about the promise. Joanna Brightman writes that when GM | :15:34. | :15:44. | |
:15:44. | :15:44. | ||
crops are first developed, their creators promised an era of green | :15:44. | :15:48. | |
innovation and... If you cannot make this commercially viable, if the | :15:48. | :15:53. | |
meat you produce at the end costs twice as much as the meat grown | :15:53. | :16:00. | |
inefficiently in an animal, you will not sell it. That is correct. And so | :16:00. | :16:04. | |
there are a couple of boundary conditions we require to meet in | :16:04. | :16:08. | |
order to be successful. One is that it has to be the same price or even | :16:08. | :16:12. | |
cheaper than regular meat. And for sure, that price will increase | :16:12. | :16:16. | |
because we are not capable of producing sufficient meat through | :16:16. | :16:23. | |
livestock as demand increases. That is one. Second, it must be meat. | :16:23. | :16:27. | |
Have not talked about that but there is some innate craving in civil | :16:27. | :16:31. | |
meat. Three to 5% of the population is vegetarian. That is not | :16:31. | :16:39. | |
increasing. We have to consider that people will keep eating meat. And | :16:39. | :16:48. | |
third, of course, it has to be made readily available and in an | :16:49. | :16:54. | |
environment and friendly and ethical way. And you believe this can be | :16:54. | :16:58. | |
fairly and accurately labelled as meat? I have problems with labelling | :16:58. | :17:02. | |
it as something else because in the end, it is exactly the same product, | :17:02. | :17:08. | |
so why would you call it something else? There are dangers in trying to | :17:08. | :17:12. | |
remove livestock herds. They are important for the ecosystem. They | :17:12. | :17:18. | |
eat grass we cannot eat, grass, for example, and they pass on the | :17:18. | :17:25. | |
nutrients from the grass through the meat. What you create will still | :17:25. | :17:31. | |
need those nutrients. It will have to come from somewhere, possibly | :17:31. | :17:38. | |
allergy. Anything that can provide a amino acid, sugars, fatty acids, to | :17:38. | :17:41. | |
feed these cells. There are options. There are regional differences in | :17:41. | :17:46. | |
some areas of the world. Cattle may be very efficient and remain | :17:46. | :17:52. | |
efficient because they eat grasses that nobody else in. -- nobody else | :17:52. | :17:58. | |
will eat. But the majority of meat production in industrialised society | :17:58. | :18:01. | |
is very artificial, in large farms, with artificially produced feed for | :18:01. | :18:06. | |
those animals. The chief scientist for the agricultural development | :18:06. | :18:10. | |
board told us that he thought land used for meat production in the UK | :18:10. | :18:14. | |
was very efficient and he wants to know if your manufactured meat is | :18:14. | :18:19. | |
more energy efficient per kilogram than traditional methods of | :18:19. | :18:28. | |
producing meat are. How energy-efficient is it going to be? | :18:28. | :18:32. | |
We don't know yet but a life cycle analysis to predict that has been | :18:32. | :18:38. | |
done at the University of Oxford. And she has calculated that this | :18:38. | :18:46. | |
would reduce the amount of land by 90% and energy by 90%. If you use | :18:46. | :18:52. | |
saltwater allergy to produce the amino acids and sugars for this meat | :18:52. | :18:56. | |
to grow. There is another sense in which it seems to be going in the | :18:56. | :19:01. | |
wrong direction. In Europe and North America, we eat too much meat, more | :19:01. | :19:06. | |
than is good for us already. Should not public energy be focused on us | :19:06. | :19:13. | |
cutting down our meat consumption? fully agree with that but it is an | :19:13. | :19:15. | |
issue that should be separated from the issues that we now have with | :19:15. | :19:19. | |
feeding the global population not only in Europe but across the world. | :19:19. | :19:26. | |
And globally, the world health organisation predicts that meat | :19:26. | :19:30. | |
demand is going to increase. We can stress here and possibly put into | :19:31. | :19:36. | |
effect that people will eat less meat. We have vegetarians and other | :19:36. | :19:41. | |
movements going in that direction. Although meat consumption in the | :19:41. | :19:45. | |
industrialised world is not going down as fast as we would wish. But | :19:45. | :19:50. | |
globally, it is going to increase and that is what we have to face. | :19:50. | :19:56. | |
How much work have you done on the economic viability of this project? | :19:56. | :19:59. | |
Do we know how much this will cost if it ever goes into mass | :19:59. | :20:03. | |
production? We have worked with companies that mass-produce stem | :20:03. | :20:06. | |
cells for medical purposes and with the numbers we gave them from our | :20:06. | :20:13. | |
production method, they came up with a fair price. It is still high but | :20:13. | :20:18. | |
that is with the current technology, without any improvement. We can get | :20:18. | :20:24. | |
it down to roughly $70 per kilogram. $70 per kilogram. That is much more | :20:24. | :20:31. | |
expensive than meat produced Max right, but that isn't the current | :20:31. | :20:37. | |
state of technology. And that is all very good. The first computer was $2 | :20:37. | :20:39. | |
million and had less calculating capacity than our mobile phone that | :20:39. | :20:46. | |
you get for free with a subscription to any of the telecom companies. | :20:46. | :20:51. | |
you have these dozens, indeed hundreds of these containers | :20:51. | :20:56. | |
producing this meat, where does the food come from? The nutrients? The | :20:56. | :21:06. | |
:21:06. | :21:06. | ||
algae? The watercress Mack how do you get that there are? -- the water | :21:06. | :21:10. | |
's you can place these anywhere so that you can reduce the transport of | :21:10. | :21:14. | |
materials. I would love to place the first plant at the mouth of the | :21:14. | :21:17. | |
Mississippi where there is an allergy dead zone, where we have so | :21:17. | :21:23. | |
much allergy in the ocean that nothing else lives there. -- algae. | :21:23. | :21:28. | |
You can basically placed this anywhere where it is | :21:28. | :21:34. | |
energy-efficient and better for the environment. You would need | :21:34. | :21:38. | |
somewhere with a well-developed infrastructure, wouldn't you? You | :21:38. | :21:43. | |
could not place it in the middle of Africa. If you can do it at home, | :21:43. | :21:49. | |
you can do it in the middle of Africa. What is the timeline? When | :21:49. | :21:53. | |
can we expect to see this kind of meat in everyday use on our dinner | :21:53. | :21:57. | |
plate is 's that is difficult to predict because there are major | :21:57. | :22:02. | |
issues we have to resolve, mostly of a technological nature. I am | :22:02. | :22:05. | |
confident they can be solved, but in my mind, it will take ten years. If | :22:05. | :22:10. | |
announcer believes it can boost done in three years, but we differ on | :22:10. | :22:15. | |
that. -- my financier believes it can be done in three years but we | :22:15. | :22:21. | |
disagree on that. And the reason why we presented it the way we did, | :22:21. | :22:27. | |
which was unusual for science, we wanted to make the point that this | :22:27. | :22:30. | |
was really a necessary development and it can be done and we can have | :22:30. | :22:33. | |
shown that it can be done but we need a lot more resources, more | :22:33. | :22:40. | |
people working on it and more money to address the issues that we still | :22:40. | :22:44. | |
have with going from this product to a product that can enter the | :22:45. | :22:53. | |
consumer market. And public scepticism? Well, the Guardian poll | :22:53. | :22:58. | |
shows and also a survey we have done in the Netherlands, they show that | :22:58. | :23:03. | |
there is a public out there ready to try it. Think that public scepticism | :23:03. | :23:08. | |
is somewhat overrated. I think it will be accepted as when people | :23:08. | :23:11. | |
realise there are major issues with livestock meat production. And | :23:12. | :23:15. | |
frankly, we have not realised that there is a major issue with meat | :23:15. | :23:19. | |
production right now and we are heading towards a crisis, if you | :23:19. | :23:23. | |
like, if that meets demand clearly develops as the world health | :23:23. | :23:30. | |
organisation predicts and we cannot meet that demand. Prices will go up, | :23:30. | :23:36. | |
there will be scarcity and it will become a luxury item. Even worse, if | :23:36. | :23:41. | |
the larger meat producing companies want to try and meet that demand, it | :23:41. | :23:51. | |
:23:51. | :23:51. | ||
will put pressure on our crops, which are also used to feed us. It | :23:51. | :23:55. | |
is a serious challenge and people have to be aware of it. Once they | :23:55. | :23:59. | |
are aware of it, they will look at alternatives. Once the price of meat | :24:00. | :24:04. | |
doubles, they will look for alternatives. You sound | :24:04. | :24:11. | |
fantastically optimistic. I do. It has great promise but it is still a | :24:11. | :24:16. | |
promise, not a reality. My real wish is that a lot of people start | :24:16. | :24:25. | |
working on this and we make this happen or find out as soon as we can | :24:25. | :24:30. |