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Hello and welcome to Tomorrow's Food. | 0:00:04 | 0:00:06 | |
Tonight, we're in Yorkshire, at the only place in the world | 0:00:12 | 0:00:15 | |
to make one of our most futuristic foods. | 0:00:15 | 0:00:18 | |
This is a nation in love with its food, but it's changing all the time. | 0:00:19 | 0:00:23 | |
So, what treats are in store? | 0:00:23 | 0:00:24 | |
What's just around the corner? | 0:00:24 | 0:00:26 | |
What'll be on your plate tomorrow? MACHINE BUZZES | 0:00:26 | 0:00:30 | |
This series will change the way we think about the food we eat for ever. | 0:00:30 | 0:00:35 | |
I'll be joined by a team of experts to show you how | 0:00:35 | 0:00:38 | |
what we eat might soon look very different indeed. | 0:00:38 | 0:00:43 | |
Tonight... | 0:00:43 | 0:00:44 | |
Michelin-starred chef Angela Hartnett is heading to New York to see if | 0:00:44 | 0:00:49 | |
a supercomputer can cook up better flavours than she can. | 0:00:49 | 0:00:53 | |
Peach fettuccine - I think it sounds disgusting, but there you go. | 0:00:53 | 0:00:58 | |
Award-winning greengrocer Chris Bavin is in the States | 0:00:58 | 0:01:02 | |
to taste vegetables that grow without sunlight. | 0:01:02 | 0:01:05 | |
I've been to hundreds of horizontal farms, | 0:01:06 | 0:01:08 | |
but this is my first vertical farm. | 0:01:08 | 0:01:10 | |
Technology expert Dr Shini Somara | 0:01:10 | 0:01:13 | |
gets a cooking lesson from a piece of furniture. | 0:01:13 | 0:01:16 | |
So, essentially, | 0:01:16 | 0:01:17 | |
this table is building up a recipe. | 0:01:17 | 0:01:20 | |
And I meet some very special animals that could save lives. | 0:01:20 | 0:01:24 | |
Goats delivering human breast milk? | 0:01:24 | 0:01:27 | |
Even I find that slightly strange. | 0:01:27 | 0:01:29 | |
This is Tomorrow's Food. | 0:01:31 | 0:01:34 | |
First up tonight, | 0:01:43 | 0:01:45 | |
our expert greengrocer Chris Bavin is looking into one of the most | 0:01:45 | 0:01:48 | |
fundamental questions there is for the future of food - | 0:01:48 | 0:01:53 | |
could we give up solid food completely? | 0:01:53 | 0:01:55 | |
There's a new movement of people trying to survive without eating, | 0:02:00 | 0:02:04 | |
trying to live on liquid alone. | 0:02:04 | 0:02:05 | |
I'm not talking about milkshakes for losing weight, | 0:02:05 | 0:02:08 | |
or protein shakes for bulking up, or even specialist diets. | 0:02:08 | 0:02:12 | |
I'm talking about three square meals a day, out of a bag. | 0:02:12 | 0:02:15 | |
-# Do the shake -Do the shake | 0:02:15 | 0:02:17 | |
-# Do the shake -Do the shake... # | 0:02:17 | 0:02:19 | |
These are a new breed of meal replacement shakes | 0:02:19 | 0:02:22 | |
designed for people who don't have time to eat. | 0:02:22 | 0:02:25 | |
-# Do the shake -Do the shake... # | 0:02:25 | 0:02:27 | |
But could we ever be satisfied living on just liquid? | 0:02:27 | 0:02:30 | |
-# When they come home -When they come home... # | 0:02:30 | 0:02:32 | |
'To find out, I'm joining a group of volunteers | 0:02:32 | 0:02:35 | |
'who struggle to find time to cook - or even eat - | 0:02:35 | 0:02:39 | |
'in their daily lives.' | 0:02:39 | 0:02:41 | |
Us, we're doing, like, 90 hours a week. | 0:02:41 | 0:02:44 | |
'We have a pub manager, a student, a computer gamer...' | 0:02:44 | 0:02:48 | |
I take a break every hour, | 0:02:48 | 0:02:49 | |
but it's not really enough time to eat or have a proper meal. | 0:02:49 | 0:02:52 | |
'..a beautician and a butcher.' | 0:02:52 | 0:02:55 | |
Thank you very much for coming. | 0:02:55 | 0:02:56 | |
I appreciate you're all very busy people. | 0:02:56 | 0:02:58 | |
'We're having one last meal before we all start a food-free experiment. | 0:03:00 | 0:03:04 | |
'Running it is dietician Linia Patel.' | 0:03:06 | 0:03:09 | |
Over the next seven days, all you're allowed to drink or eat | 0:03:11 | 0:03:16 | |
is this meal replacement shake, and then have some water as well. | 0:03:16 | 0:03:20 | |
To whip up one of these shakes, it only takes 40 seconds, | 0:03:20 | 0:03:23 | |
so across the week, we're saving potentially 14 hours, | 0:03:23 | 0:03:26 | |
and for you busy people, that should be great news. | 0:03:26 | 0:03:29 | |
'The manufacturers of these shakes don't suggest that they be | 0:03:30 | 0:03:34 | |
'used to replace food entirely, | 0:03:34 | 0:03:37 | |
'but across the world, some people are using them to do just that. | 0:03:37 | 0:03:40 | |
'So, would you ever choose to live without eating? | 0:03:42 | 0:03:45 | |
'Our volunteers are looking nervous. | 0:03:45 | 0:03:48 | |
'No food for seven days.' | 0:03:48 | 0:03:50 | |
So, we're just having the shake and water, no other beverages? | 0:03:51 | 0:03:56 | |
-No tea, no coffee? Beer? -LAUGHTER | 0:03:56 | 0:04:00 | |
No beer, sadly. | 0:04:00 | 0:04:02 | |
It's only seven days. | 0:04:02 | 0:04:03 | |
'The shakes are a mixture of oats, soy and flaxseed, | 0:04:07 | 0:04:10 | |
'with added vitamins and minerals. | 0:04:10 | 0:04:13 | |
'In theory, we should get all the nutrition we need, | 0:04:13 | 0:04:16 | |
'but living of nothing but liquid doesn't sound easy.' | 0:04:16 | 0:04:20 | |
Good luck, guys, | 0:04:20 | 0:04:21 | |
and I look forward to seeing how we all get on. | 0:04:21 | 0:04:24 | |
So, I just got home. | 0:04:24 | 0:04:25 | |
Already pretty starving, so I thought, I'll try my first shake. | 0:04:25 | 0:04:29 | |
This is the vanilla flavour one, | 0:04:29 | 0:04:31 | |
so... | 0:04:31 | 0:04:33 | |
let's see what it tastes like. | 0:04:33 | 0:04:34 | |
HE COUGHS | 0:04:38 | 0:04:40 | |
That's not nice. | 0:04:44 | 0:04:46 | |
It feels kind of like a smooth, runny banana porridge. | 0:04:46 | 0:04:51 | |
So far, it's taken me two and a half hours | 0:04:52 | 0:04:56 | |
to not even finish my first shake. | 0:04:56 | 0:04:59 | |
And the taste isn't all we've got to content with. | 0:04:59 | 0:05:01 | |
After just a few days, some serious hunger is kicking in. | 0:05:01 | 0:05:05 | |
This stuff... | 0:05:06 | 0:05:07 | |
..is just not enough to keep you going. | 0:05:10 | 0:05:12 | |
I'm constantly hungry. | 0:05:12 | 0:05:13 | |
Just the hunger pains. | 0:05:13 | 0:05:14 | |
I'm not really getting the sensation of being full, | 0:05:14 | 0:05:17 | |
the sensation of eating or just enjoying food. | 0:05:17 | 0:05:19 | |
I want a burger. I want pizza. I want... | 0:05:19 | 0:05:22 | |
Chicken, or some beef, or just something. | 0:05:22 | 0:05:24 | |
Just some kind of something. | 0:05:24 | 0:05:25 | |
Yeah... | 0:05:25 | 0:05:28 | |
I think seven days is going to be tough. | 0:05:28 | 0:05:30 | |
We'll be back later in the programme | 0:05:31 | 0:05:33 | |
to see how the food-free experiment | 0:05:33 | 0:05:34 | |
is going. | 0:05:34 | 0:05:36 | |
Now, we've travelled all over the planet, | 0:05:52 | 0:05:55 | |
visiting places devoted to finding the foods of the future. | 0:05:55 | 0:05:58 | |
This week, however, I'm in Yorkshire, | 0:06:00 | 0:06:02 | |
at the only factory of its kind in the world. | 0:06:02 | 0:06:06 | |
If I told you that there's a particle that would sit on my fingertip, | 0:06:08 | 0:06:11 | |
but it in just four weeks, it could grow to thousands of tonnes of food, | 0:06:11 | 0:06:15 | |
you'd presume that was science fiction, but it's not. | 0:06:15 | 0:06:17 | |
It's happening right now in these towers behind me. | 0:06:17 | 0:06:20 | |
The food they're creating is called Quorn, | 0:06:24 | 0:06:28 | |
and it packs the nutritional punch of meat, but is a meat alternative. | 0:06:28 | 0:06:32 | |
It can be turned into everything, | 0:06:33 | 0:06:35 | |
from burgers to crispy nuggets to sausages, | 0:06:35 | 0:06:38 | |
and there's not a cow, a pig or a chicken in sight. | 0:06:38 | 0:06:41 | |
This is all about edible fungus - | 0:06:43 | 0:06:45 | |
you know, like a mushroom, or yeast, or truffles. | 0:06:45 | 0:06:48 | |
We've all eaten that before, | 0:06:48 | 0:06:50 | |
but this is it on an industrial scale. | 0:06:50 | 0:06:52 | |
Welcome to the fungus factory. | 0:06:52 | 0:06:54 | |
Tim Finnigan is the research director here | 0:06:56 | 0:06:59 | |
and he has with him the tiny specks of fungus that begin the process. | 0:06:59 | 0:07:04 | |
Let me show you. I've got some here, | 0:07:04 | 0:07:07 | |
-which we, if we carefully unwrap... you can see there. -I see it. | 0:07:07 | 0:07:11 | |
It literally is like little grains of sand in there. | 0:07:11 | 0:07:13 | |
-Honestly, I think there's nothing in that piece of paper. Just that? -Yeah. | 0:07:13 | 0:07:18 | |
'These little dots are freeze-dried pieces of fungus | 0:07:18 | 0:07:22 | |
'that kick-start the entire operation.' | 0:07:22 | 0:07:25 | |
What we would do is, is we would bring that back to life, | 0:07:25 | 0:07:28 | |
-a bit like when you're making bread with yeast or... -Yeah. | 0:07:28 | 0:07:31 | |
You know, we just... we'd put it in a sugar solution | 0:07:31 | 0:07:33 | |
and bring it back to life. | 0:07:33 | 0:07:34 | |
The exact mixture of sugar, water and fungus | 0:07:36 | 0:07:40 | |
that goes into the tanks is a strictly guarded secret, | 0:07:40 | 0:07:44 | |
but once inside, more sugar and nutrients are added, | 0:07:44 | 0:07:48 | |
and the fungus starts to feed on it, | 0:07:48 | 0:07:51 | |
growing at an astonishing rate, | 0:07:51 | 0:07:56 | |
until it fills all ten storeys of these towers in under a week. | 0:07:56 | 0:08:02 | |
But from those few little specks of fungi in your hand, | 0:08:03 | 0:08:06 | |
we can produce, in theory, 45,000 tonnes of protein. | 0:08:06 | 0:08:10 | |
Wow. From that small speck of...? | 0:08:10 | 0:08:12 | |
-That small amount. -And in terms of the amount of | 0:08:12 | 0:08:16 | |
effort and energy that goes into growing a steak, for example, | 0:08:16 | 0:08:19 | |
the amount of warmth, or the amount of time and land, and all that, | 0:08:19 | 0:08:22 | |
how much more efficient is what you're making? | 0:08:22 | 0:08:25 | |
There's ten times less land and water use. It's amazingly efficient. | 0:08:25 | 0:08:29 | |
Inside the sealed tank, the fungus is a bubbling, fermenting liquid, | 0:08:32 | 0:08:38 | |
but after just four days, | 0:08:38 | 0:08:40 | |
a nutritious - if not very attractive - | 0:08:40 | 0:08:43 | |
paste called mycoprotein | 0:08:43 | 0:08:45 | |
can be pumped out from the base at a rate of 25 tonnes every hour. | 0:08:45 | 0:08:51 | |
Once it's made into Quorn mince, | 0:08:52 | 0:08:54 | |
it has less than half of the calories or fat of beef mince, | 0:08:54 | 0:08:58 | |
and around 78 times less cholesterol. | 0:08:58 | 0:09:01 | |
It doesn't look much like a sausage or a burger patty yet, | 0:09:03 | 0:09:08 | |
but we'll be finding out the secret to turning this gloop-like paste | 0:09:08 | 0:09:12 | |
into something edible, | 0:09:12 | 0:09:15 | |
later in the programme. | 0:09:15 | 0:09:17 | |
MUSIC: Robot Rock by Daft Punk | 0:09:24 | 0:09:26 | |
# Rock robot rock | 0:09:26 | 0:09:30 | |
# Rock robot rock... # | 0:09:30 | 0:09:31 | |
When it comes to the kitchen of the future, | 0:09:31 | 0:09:33 | |
you might think it's going to be packed with robot helpers. | 0:09:33 | 0:09:37 | |
Something like this Chinese noodle robot, perhaps? | 0:09:39 | 0:09:42 | |
Or PancakeBot, turning your breakfast into everything | 0:09:44 | 0:09:47 | |
from an astronaut to the Eiffel Tower. | 0:09:47 | 0:09:50 | |
Or how about eating a fried-egg muffin made by this guy? | 0:09:54 | 0:09:58 | |
But are they really the answer? | 0:10:01 | 0:10:03 | |
Shini's in the lab, where designer Geraint Edwards has come up with | 0:10:03 | 0:10:06 | |
a very different way to help us in the kitchen. | 0:10:06 | 0:10:09 | |
OK, basic wooden table. | 0:10:11 | 0:10:13 | |
Forgive me for saying this, but it doesn't feel very techy. | 0:10:13 | 0:10:16 | |
No, exactly. | 0:10:16 | 0:10:17 | |
We wanted it to feel quite liveable and warm and with natural materials. | 0:10:17 | 0:10:21 | |
-So where is the tech? -So, for example, | 0:10:21 | 0:10:23 | |
-say if you grab the tomatoes and take them to the kitchen table. -OK. | 0:10:23 | 0:10:27 | |
I'm not convinced. | 0:10:27 | 0:10:29 | |
Oh... | 0:10:29 | 0:10:30 | |
-Yeah. -Oh, wow. | 0:10:30 | 0:10:32 | |
By placing the tomatoes, | 0:10:32 | 0:10:34 | |
I've activated a projection that shines onto the table. | 0:10:34 | 0:10:38 | |
So, it's actually recognising that I'm putting | 0:10:38 | 0:10:40 | |
the tomatoes on the table. | 0:10:40 | 0:10:42 | |
Exactly, and it's giving you ingredients | 0:10:42 | 0:10:44 | |
that go well with tomatoes. | 0:10:44 | 0:10:45 | |
Avocado, mozzarella, oregano... | 0:10:45 | 0:10:49 | |
And how did it do that? | 0:10:49 | 0:10:51 | |
It's quite simple technology. | 0:10:51 | 0:10:52 | |
If you like, we've called it the Ingredient Recognition Software. | 0:10:52 | 0:10:56 | |
Above the table, the camera and computer system identify the food, | 0:10:56 | 0:11:01 | |
compare it to a database, and suggest tasty accompaniments - | 0:11:01 | 0:11:05 | |
all in a split second. | 0:11:05 | 0:11:06 | |
-So, one of the ingredients here has been rice. -Yeah. | 0:11:08 | 0:11:11 | |
If you put these two ingredients right close together now, | 0:11:11 | 0:11:14 | |
it will recommend a recipe and how to cook it. | 0:11:14 | 0:11:17 | |
Oh, so now it's actually suggesting a dish. | 0:11:19 | 0:11:22 | |
Every time you put a new | 0:11:23 | 0:11:24 | |
ingredients next to the others, | 0:11:24 | 0:11:26 | |
the table suggests a recipe that could use them all. | 0:11:26 | 0:11:30 | |
So, I could actually make an arancini with marinara sauce. | 0:11:30 | 0:11:33 | |
Hopefully, it will help you explore new types of food | 0:11:33 | 0:11:35 | |
and new recipes that you can cook. | 0:11:35 | 0:11:37 | |
'This is a prototype, but for me, it works, | 0:11:41 | 0:11:45 | |
'because it's improving something that I already use every day. | 0:11:45 | 0:11:48 | |
'Maybe this could spell the end of cookbooks as we know them.' | 0:11:50 | 0:11:54 | |
We all have a few embarrassing gadgets at the back of the cupboard | 0:12:07 | 0:12:11 | |
that we thought would change our lives. | 0:12:11 | 0:12:12 | |
Do you remember that ice cream maker you got, | 0:12:12 | 0:12:14 | |
or how you were always going to make bread with the bread-maker, | 0:12:14 | 0:12:17 | |
or the fondue set or the chocolate fountain? | 0:12:17 | 0:12:19 | |
But occasionally, a new gadget comes along that could genuinely | 0:12:19 | 0:12:22 | |
change the way we eat and drink. | 0:12:22 | 0:12:24 | |
Meet the 3D printer. | 0:12:29 | 0:12:31 | |
They've already made the headlines, | 0:12:36 | 0:12:38 | |
printing everything from prosthetics to handguns... | 0:12:38 | 0:12:42 | |
..but 3D printers can also print food. | 0:12:44 | 0:12:48 | |
The idea is that one day you'll be able to click a button | 0:12:49 | 0:12:52 | |
and print almost any meal you like, tailored to your own tastes, | 0:12:52 | 0:12:56 | |
and even your dietary needs. | 0:12:56 | 0:12:58 | |
So, will these machines soon become commonplace in our kitchens? | 0:13:00 | 0:13:04 | |
Our Michelin-starred chef Angela has gone to the Netherlands, | 0:13:08 | 0:13:13 | |
home to some of the world leaders in 3D printing, | 0:13:13 | 0:13:16 | |
to find out if their claim | 0:13:16 | 0:13:18 | |
that they can print the world's favourite food is true. | 0:13:18 | 0:13:22 | |
So what have we got going on here? | 0:13:22 | 0:13:24 | |
-This is a pasta printer. -Good afternoon. | 0:13:24 | 0:13:26 | |
-Please take a seat. -Oh, thank you. | 0:13:26 | 0:13:27 | |
'These guys reckon they can create perfect pasta | 0:13:29 | 0:13:32 | |
'with a computer and a printer, | 0:13:32 | 0:13:36 | |
'and what's more, they say it can be made in any shape you want.' | 0:13:36 | 0:13:40 | |
-So, choose a shape. Choose a spiral or a penne shape or... -OK. | 0:13:40 | 0:13:44 | |
Well, let's go new. Let's go spiral. | 0:13:44 | 0:13:46 | |
'I never thought you would be able to personalise pasta like this.' | 0:13:47 | 0:13:51 | |
Then it says, "next step is height". | 0:13:51 | 0:13:53 | |
Height-wise, let's go in the middle. | 0:13:53 | 0:13:56 | |
What does the rotation do? | 0:13:56 | 0:13:58 | |
-Oh, fancy. -As you can see, it can be more open or closed. -Yeah. | 0:13:58 | 0:14:02 | |
And then I say "order". | 0:14:02 | 0:14:04 | |
'The computer sends your design to the printer | 0:14:08 | 0:14:11 | |
'while you sit back and wait.' | 0:14:11 | 0:14:13 | |
My pasta chef can't even do a service for 100 covers. | 0:14:15 | 0:14:18 | |
I need a couple of machines like that. | 0:14:18 | 0:14:20 | |
-Great. -Boom, boom, boom, boom. | 0:14:20 | 0:14:22 | |
'3D printers work a bit like an office printer, | 0:14:22 | 0:14:26 | |
'but instead of ink, this printer is full of tubes | 0:14:26 | 0:14:29 | |
'containing a mixture of water and semolina flour,' | 0:14:29 | 0:14:33 | |
'but to most Northern Italians, | 0:14:33 | 0:14:35 | |
'there is one crucial ingredient missing.' | 0:14:35 | 0:14:38 | |
So, you're really throwing the book away? | 0:14:38 | 0:14:40 | |
You know, Italians are very traditional. | 0:14:40 | 0:14:42 | |
'There's no egg.' | 0:14:42 | 0:14:44 | |
I don't know what my grandmother would say about this, Giancarlo. | 0:14:44 | 0:14:47 | |
-She would be mad about this, I'm sure. -Yeah, she would be very mad. | 0:14:47 | 0:14:50 | |
It looks pretty incredible, actually. | 0:14:52 | 0:14:54 | |
OK, so that's it done. Do I take this out? | 0:14:56 | 0:14:59 | |
Yes, of course. | 0:14:59 | 0:15:01 | |
I think the shape's beautiful. I mean, it really is pretty. | 0:15:01 | 0:15:04 | |
It looks lovely, and it feels like fresh pasta, | 0:15:04 | 0:15:06 | |
which it is, fresh pasta. | 0:15:06 | 0:15:08 | |
Let's go and cook it. | 0:15:08 | 0:15:09 | |
'The idea of printing food is amazing, | 0:15:11 | 0:15:14 | |
'but will it taste any good?' | 0:15:14 | 0:15:17 | |
So, we've seen the pasta, | 0:15:17 | 0:15:18 | |
and I'm just whipping up a quick tomato sauce. | 0:15:18 | 0:15:21 | |
I'm a bit nervous, cooking for a couple of Italian scientists, | 0:15:21 | 0:15:25 | |
that they'll all criticise | 0:15:25 | 0:15:26 | |
and tell me it's not like their mother made it, | 0:15:26 | 0:15:28 | |
which is very Italian, but, anyway... | 0:15:28 | 0:15:30 | |
It's a typical bloke thing, | 0:15:33 | 0:15:34 | |
that they've buggered off and I'm the one stuck in the kitchen! | 0:15:34 | 0:15:38 | |
-Now it looks like pasta. -Yum. | 0:15:38 | 0:15:40 | |
SHE LAUGHS | 0:15:40 | 0:15:42 | |
'So, what do the Italians say?' | 0:15:42 | 0:15:45 | |
Wow. | 0:15:45 | 0:15:46 | |
Looks great. | 0:15:46 | 0:15:48 | |
Very nice. | 0:15:48 | 0:15:49 | |
Buon appetito. | 0:15:51 | 0:15:53 | |
Buon appetito. | 0:15:53 | 0:15:54 | |
Very good. Delicious. | 0:15:54 | 0:15:56 | |
Actually, the texture's there, as the pasta, isn't it? | 0:15:56 | 0:15:58 | |
-Yeah. -Interesting. | 0:15:58 | 0:16:00 | |
MACHINE BUZZES | 0:16:00 | 0:16:02 | |
It's very early days for 3D food printing, | 0:16:05 | 0:16:09 | |
and the technology I've seen here is just a taste of things to come. | 0:16:09 | 0:16:14 | |
I think there's still a long way to go, | 0:16:14 | 0:16:16 | |
but I do genuinely believe, next 20 years, | 0:16:16 | 0:16:19 | |
they're definitely going to be part of our future kitchens. | 0:16:19 | 0:16:23 | |
While Angela's been looking at what's around the corner, | 0:16:31 | 0:16:35 | |
here's a fun thing that people are already doing with 3D printers, | 0:16:35 | 0:16:39 | |
although you'd need another piece of kit. | 0:16:39 | 0:16:41 | |
This is an infrared scanner, | 0:16:41 | 0:16:42 | |
and if you point this at yourself, | 0:16:42 | 0:16:44 | |
you can build up a really good 3D image. | 0:16:44 | 0:16:47 | |
You can then use this to 3D print a mould, | 0:16:47 | 0:16:52 | |
and with the mould, you can make this - | 0:16:52 | 0:16:55 | |
a little chocolate lolly of your face. | 0:16:55 | 0:16:58 | |
How accurate is this? | 0:16:58 | 0:17:00 | |
I'm told it's very accurate, but there's only one way to test it. | 0:17:00 | 0:17:03 | |
Mmm... | 0:17:05 | 0:17:07 | |
It tastes like me. | 0:17:07 | 0:17:09 | |
Weirdly. | 0:17:09 | 0:17:11 | |
When you think of farming, | 0:17:25 | 0:17:27 | |
you probably imagine big, open spaces... | 0:17:27 | 0:17:30 | |
..but tomorrow's farms are springing up in places | 0:17:35 | 0:17:38 | |
where you'd least expect them. | 0:17:38 | 0:17:41 | |
Chris Bavin has gone to America to see for himself. | 0:17:41 | 0:17:44 | |
Our cities are like concrete jungles - | 0:17:46 | 0:17:49 | |
full of people, traffic, houses and big buildings. | 0:17:49 | 0:17:53 | |
Land is at a premium and space is really scarce. | 0:17:53 | 0:17:57 | |
So, the idea of growing vegetables in the city seems crazy, | 0:17:57 | 0:18:02 | |
but that's what's starting to happen | 0:18:02 | 0:18:04 | |
in towns and cities across the globe. | 0:18:04 | 0:18:07 | |
Father-and-son team Milan and Dan Klukow | 0:18:09 | 0:18:12 | |
run their farm from a disused Michigan factory. | 0:18:12 | 0:18:16 | |
-Hey, Marlin. -How are you? -I'm very well, yeah. You? | 0:18:16 | 0:18:18 | |
-Good to meet you, Chris. My son, Dan. -Hello, Dan. | 0:18:18 | 0:18:20 | |
-Hi, Chris. Nice to meet you. -Yeah, nice to meet you. | 0:18:20 | 0:18:23 | |
Their vegetables are grown from the floor to the ceiling, | 0:18:25 | 0:18:29 | |
in water rather than soil, | 0:18:29 | 0:18:31 | |
and without ever seeing daylight. | 0:18:31 | 0:18:33 | |
I've been to hundreds of horizontal farms, | 0:18:36 | 0:18:38 | |
but this is my first vertical farm. So, questions. | 0:18:38 | 0:18:41 | |
The first one, though, is obviously the lack of natural light. | 0:18:41 | 0:18:44 | |
We've got some lettuce here. How do they respond to that? | 0:18:44 | 0:18:47 | |
Yeah, well, we use LED lights, that are primarily blue, | 0:18:47 | 0:18:51 | |
and in the red spectrum. | 0:18:51 | 0:18:53 | |
I mean, that's what the plants are going to take from the sun outside. | 0:18:53 | 0:18:57 | |
Plants like these lettuces | 0:18:57 | 0:18:58 | |
don't need all the light they receive from the sun, | 0:18:58 | 0:19:03 | |
so these coloured LEDs emit only certain wavelengths. | 0:19:03 | 0:19:07 | |
There's a lot of science behind it, | 0:19:08 | 0:19:10 | |
but the basics are, you know, you need red light, | 0:19:10 | 0:19:12 | |
you need blue light, and you need a little bit of green, | 0:19:12 | 0:19:15 | |
and that's what they'd use outside. | 0:19:15 | 0:19:16 | |
We've just mimicked it to do it indoors. | 0:19:16 | 0:19:19 | |
But it's not as simple as stringing up your fairy lights at Christmas. | 0:19:20 | 0:19:24 | |
They've worked out the perfect light recipe for every plant they grow. | 0:19:24 | 0:19:28 | |
It has to be a certain ratio, you know? | 0:19:30 | 0:19:32 | |
If you have too much blue, your plants will be really stout | 0:19:32 | 0:19:34 | |
-but they won't have a lot of leaf expansion. -Yeah. | 0:19:34 | 0:19:37 | |
If you have too much red, you'll have really long, | 0:19:37 | 0:19:39 | |
stretchy plants with huge leaves. | 0:19:39 | 0:19:41 | |
So, you really have to find a proper balance. It's all about balance. | 0:19:41 | 0:19:45 | |
The other big advantage of growing indoors instead of outside | 0:19:45 | 0:19:49 | |
is the sheer number of plants you can squeeze in. | 0:19:49 | 0:19:53 | |
Because of the verticality, | 0:19:53 | 0:19:54 | |
we can grow ten times more plants than the traditional farmers. | 0:19:54 | 0:19:59 | |
We can grow 45 plants per square foot. | 0:19:59 | 0:20:02 | |
As opposed to four plants per square foot outside. | 0:20:02 | 0:20:05 | |
Farming in cities also means the vegetables reach | 0:20:09 | 0:20:12 | |
the supermarket shelves faster and fresher, | 0:20:12 | 0:20:16 | |
but what I really want to know is whether they taste as good. | 0:20:16 | 0:20:20 | |
Oh, yeah. | 0:20:23 | 0:20:24 | |
Well, I'm quite excited to try this, actually. | 0:20:24 | 0:20:26 | |
I mean, even for me, working in the fresh produce business, | 0:20:26 | 0:20:29 | |
this is the first time I've ever knowingly eaten | 0:20:29 | 0:20:32 | |
a lettuce grown completely indoors that's never seen natural daylight. | 0:20:32 | 0:20:37 | |
I think you'll enjoy it. | 0:20:37 | 0:20:38 | |
That's lovely. Crisp, fresh, delicious, yeah. | 0:20:42 | 0:20:46 | |
Guys, thank you very much for showing me around today. | 0:20:46 | 0:20:48 | |
-It's been fascinating. -Thank you. -It's been a real pleasure. | 0:20:48 | 0:20:51 | |
-Nice to meet you. Thank you. -Cheers. | 0:20:51 | 0:20:53 | |
'So, one day soon, | 0:20:53 | 0:20:54 | |
'perhaps your fruit and veg could be grown inside towering skyscrapers, | 0:20:54 | 0:20:59 | |
'right in the city centre.' | 0:20:59 | 0:21:01 | |
Now, how tricky do you find it to choose what you want | 0:21:09 | 0:21:12 | |
when you're eating out? | 0:21:12 | 0:21:14 | |
Well, what if your subconscious could do it for you? | 0:21:15 | 0:21:20 | |
Of course, we all know the saying, "first you eat with your eyes", | 0:21:20 | 0:21:24 | |
and one restaurant in London is trying to test | 0:21:24 | 0:21:26 | |
whether they can use that to perform some hi-tech mind reading, | 0:21:26 | 0:21:31 | |
but does it work? | 0:21:31 | 0:21:32 | |
Hiya, I've got your menu here for you. | 0:21:32 | 0:21:34 | |
-Oh, wow, thank you. OK. -No worries. | 0:21:34 | 0:21:37 | |
All right. | 0:21:37 | 0:21:38 | |
Well, this is unusual. | 0:21:38 | 0:21:40 | |
'This pizza restaurant is trialling a prototype menu that | 0:21:40 | 0:21:43 | |
'lets your subconscious choose your meal.' | 0:21:43 | 0:21:47 | |
So, I'm calibrating it, apparently, now, by giving me a dot to follow. | 0:21:47 | 0:21:51 | |
'It does it by following your eye movements, | 0:21:51 | 0:21:53 | |
'using an invisible infrared light.' | 0:21:53 | 0:21:55 | |
And now you can actually see where it's tracking your eyes, | 0:21:58 | 0:22:01 | |
so I can go round and count it off, one, two, three... | 0:22:01 | 0:22:04 | |
'Next, the menu shows you pictures of different toppings. | 0:22:06 | 0:22:09 | |
'In just a few seconds, it will choose me | 0:22:09 | 0:22:12 | |
'a pizza based on which ones I look at. | 0:22:12 | 0:22:15 | |
'But it's not about the toppings you think you want - | 0:22:15 | 0:22:18 | |
'it's all about the little glances you don't realise you're making.' | 0:22:18 | 0:22:22 | |
Right, so, it's those little darting movements, | 0:22:22 | 0:22:25 | |
and that will give away what you secretly want. | 0:22:25 | 0:22:27 | |
So, you know, I could be telling myself that | 0:22:27 | 0:22:29 | |
I should look at this healthy ingredient here, | 0:22:29 | 0:22:31 | |
but actually, my eyes are secretly darting over to the chorizo. | 0:22:31 | 0:22:34 | |
Then I'm looking at this, but really I want the pepperoni, | 0:22:34 | 0:22:37 | |
over here. I'm looking at things I don't like. | 0:22:37 | 0:22:39 | |
No, this is wrong. I'm looking at things I don't like. | 0:22:39 | 0:22:41 | |
I want to look at things I like, don't I? | 0:22:41 | 0:22:43 | |
OK, it's chosen a pizza for me. | 0:22:43 | 0:22:47 | |
It's chosen Hawaiian. | 0:22:47 | 0:22:49 | |
I hate Hawaiian. | 0:22:49 | 0:22:51 | |
Hot and sweet? Who likes hot, sweet things? You know what I mean? | 0:22:51 | 0:22:54 | |
In fact, if you ask the people of Hawaii, | 0:22:54 | 0:22:56 | |
they probably don't like it either. Let's just try it again. | 0:22:56 | 0:22:59 | |
OK, I'm now actually looking at things I like. I'm staring at that. | 0:22:59 | 0:23:02 | |
I'm staring at that. | 0:23:02 | 0:23:03 | |
Maybe it'll give me some sort of giant meat feast thing. | 0:23:03 | 0:23:06 | |
Oh, I looked at the pineapple again. | 0:23:06 | 0:23:09 | |
Boom. | 0:23:09 | 0:23:10 | |
Hot dog slices and at least three types of meat in there. | 0:23:10 | 0:23:13 | |
-Are you ready to order? -Apparently, I am, secretly, yeah. -Beautiful. | 0:23:13 | 0:23:16 | |
-So that's the Texas Meat Meltdown for you? -Apparently... | 0:23:16 | 0:23:19 | |
-The heart wants what the heart wants, as they say. -Brilliant. | 0:23:19 | 0:23:22 | |
Clearly, me and the Texas Meat Meltdown | 0:23:22 | 0:23:25 | |
are destined to be together. | 0:23:25 | 0:23:27 | |
You've no way of knowing whether this is actually what you want, | 0:23:29 | 0:23:32 | |
because even if you said, "It's not what I wanted," | 0:23:32 | 0:23:34 | |
they'll go, "No, it's what you subconsciously wanted." | 0:23:34 | 0:23:37 | |
-There we go. -Oh, my God. -Enjoy. | 0:23:40 | 0:23:42 | |
'I mean, there's no real downside to this. | 0:23:46 | 0:23:50 | |
'Even if you don't get exactly the pizza you want, | 0:23:50 | 0:23:53 | |
'you still get a pizza.' | 0:23:53 | 0:23:55 | |
Now, we're a nation of chocolate lovers, | 0:24:03 | 0:24:06 | |
even though we know it's bad for us... | 0:24:06 | 0:24:09 | |
# I want a little sugar in my bowl... # | 0:24:09 | 0:24:14 | |
..but what if there is a way to make it healthier? | 0:24:14 | 0:24:17 | |
Dr Shini Somara has travelled to Colorado to discover the new science | 0:24:19 | 0:24:25 | |
that could make that dream a reality. | 0:24:25 | 0:24:28 | |
Eating chocolate comes with a massive spoonful of guilt. | 0:24:31 | 0:24:35 | |
Up to half a bar of chocolate can be just pure sugar, | 0:24:35 | 0:24:38 | |
but in the future, | 0:24:38 | 0:24:40 | |
we might be able to eat chocolate that's far less sugary, | 0:24:40 | 0:24:43 | |
and amazingly, it's all down to some of these. | 0:24:43 | 0:24:46 | |
-Hi, Alan. -Hi, Shini. Welcome. | 0:24:49 | 0:24:51 | |
'It may sound bizarre, but food developer Alan Hahn | 0:24:51 | 0:24:54 | |
'is harnessing the power of mushrooms | 0:24:54 | 0:24:57 | |
'to take the bitterness out of chocolate, | 0:24:57 | 0:25:00 | |
'so that it needs far less sugar to be tasty.' | 0:25:00 | 0:25:03 | |
This is a cacao bean, | 0:25:03 | 0:25:07 | |
and what's inside, you'll find, are chocolate nibs. | 0:25:07 | 0:25:11 | |
So, is this the fundamental ingredient of chocolate, then? | 0:25:11 | 0:25:14 | |
It is. | 0:25:14 | 0:25:15 | |
Mmm, that's really bitter. | 0:25:16 | 0:25:18 | |
Feels like I've just eaten some car tyre. That's really strange. | 0:25:18 | 0:25:21 | |
And you wonder how our ancestors thought that this would make | 0:25:21 | 0:25:25 | |
something good to eat. | 0:25:25 | 0:25:27 | |
The nibs are ground up to make chocolate. | 0:25:27 | 0:25:29 | |
Normally, we have lots of sugar to overcome the bitterness, | 0:25:31 | 0:25:34 | |
but not with Alan's mushrooms. | 0:25:34 | 0:25:37 | |
They contain a secret weapon. | 0:25:37 | 0:25:40 | |
If you look at a mushroom... | 0:25:40 | 0:25:42 | |
and this is what people think of, a long stem and a cap. | 0:25:42 | 0:25:45 | |
But what we're working with is not this part, | 0:25:45 | 0:25:48 | |
but the whole root system. | 0:25:48 | 0:25:50 | |
This is called mycelium, | 0:25:52 | 0:25:54 | |
and it's found at the base of most mushrooms, | 0:25:54 | 0:25:57 | |
forming as long, spindly threads. | 0:25:57 | 0:26:00 | |
To make his chocolate, Alan sprays mycelium solution onto the beans, | 0:26:01 | 0:26:07 | |
and over two weeks, it grows, sucking the bitterness out of them. | 0:26:07 | 0:26:11 | |
He's taking advantage of the way mushrooms work in the natural world. | 0:26:14 | 0:26:18 | |
In nature, things that are toxic tend to be bitter, | 0:26:19 | 0:26:23 | |
so in the forest, mushrooms are the clean-up crew. | 0:26:23 | 0:26:26 | |
They remove toxins from the soil, and they give back | 0:26:26 | 0:26:29 | |
nutrients to the root systems of trees, so that's how they work. | 0:26:29 | 0:26:34 | |
Gosh, I never knew mushrooms were so clever. | 0:26:34 | 0:26:36 | |
Alan claims that if treated with the mushroom mycelium, | 0:26:39 | 0:26:42 | |
the chocolate needs less than half the sugar to make it tasty, | 0:26:42 | 0:26:47 | |
but does it work? | 0:26:47 | 0:26:48 | |
'To find out, I'm blind-tasting two raw chocolate samples - | 0:26:49 | 0:26:54 | |
'one that's been treated, and one that hasn't.' | 0:26:54 | 0:26:57 | |
Really bitter. | 0:27:01 | 0:27:03 | |
Really, horribly bitter. | 0:27:03 | 0:27:05 | |
Now try this one. | 0:27:06 | 0:27:07 | |
It's bitter, but it's nice. It's smooth. | 0:27:11 | 0:27:15 | |
This is definitely your chocolate. | 0:27:15 | 0:27:18 | |
-Yes. -Yeah, the taste is significantly different. | 0:27:18 | 0:27:21 | |
But don't take my word for it. | 0:27:23 | 0:27:26 | |
# You're sweet like chocolate, boy | 0:27:26 | 0:27:29 | |
# Sweet like chocolate... # | 0:27:29 | 0:27:32 | |
'Chris Bavin is hitting the streets | 0:27:32 | 0:27:34 | |
'to find out what the great British public think.' | 0:27:34 | 0:27:36 | |
# You're sweet like chocolate, boy... # | 0:27:36 | 0:27:40 | |
So, this bar of chocolate is one of the first to be made with | 0:27:40 | 0:27:42 | |
the treated beans, and I'm going to be pitting it against this | 0:27:42 | 0:27:46 | |
normal, readily available chocolate. | 0:27:46 | 0:27:48 | |
In the red bowl is our mushroom-treated chocolate, | 0:27:50 | 0:27:56 | |
and in the green bowl is a standard chocolate bar, | 0:27:56 | 0:27:59 | |
with two and a half times more sugar. | 0:27:59 | 0:28:01 | |
'So, let's see how it goes down.' | 0:28:04 | 0:28:06 | |
Would you like to try these two chocolates? | 0:28:06 | 0:28:08 | |
Which one would you say was sweeter? | 0:28:11 | 0:28:13 | |
The red one's a little bit sweeter. | 0:28:13 | 0:28:15 | |
That one's sweeter. That was more bitter. | 0:28:15 | 0:28:18 | |
Green one is more bitter. OK. | 0:28:18 | 0:28:20 | |
There doesn't seem to be much difference. | 0:28:20 | 0:28:22 | |
Not very different. | 0:28:22 | 0:28:24 | |
'So, opinion is split on which tastes the sweetest. | 0:28:24 | 0:28:28 | |
'Many people couldn't tell the difference, | 0:28:28 | 0:28:29 | |
'and while the normal chocolate in the green bowl came out ahead,' | 0:28:29 | 0:28:34 | |
'it does have a lot more sugar.' | 0:28:34 | 0:28:35 | |
# Sweet like chocolate... # | 0:28:35 | 0:28:37 | |
The one with the red napkin has half the sugar. | 0:28:37 | 0:28:39 | |
Oh, it does? | 0:28:39 | 0:28:42 | |
I wouldn't say that's reduced sugar or anything like that. | 0:28:42 | 0:28:45 | |
It's quite surprising, yeah, and it's quite nice as well. | 0:28:45 | 0:28:48 | |
'Mushroom-treated chocolate is due to hit the shelves in Britain | 0:28:50 | 0:28:53 | |
'in the next few months.' | 0:28:53 | 0:28:55 | |
# Sweet like chocolate, boy. # | 0:28:55 | 0:28:58 | |
Every day in this country, we eat over 8,500 tonnes of meat. | 0:29:04 | 0:29:10 | |
That's the equivalent of 45,000 cows or 5 million chickens. | 0:29:10 | 0:29:18 | |
And worldwide demand for meat is growing faster than we can | 0:29:18 | 0:29:21 | |
produce it, so how can we stop meat running out, and keep it on the menu? | 0:29:21 | 0:29:28 | |
Angela is back in the Netherlands to find out. | 0:29:28 | 0:29:32 | |
So, I'm here to see how the farmers are really tackling this problem | 0:29:32 | 0:29:35 | |
of the shortage of beef, and one of the things | 0:29:35 | 0:29:38 | |
they're doing is producing cows that give us more meat. | 0:29:38 | 0:29:42 | |
-COWS MOO -Oh, hello. | 0:29:45 | 0:29:47 | |
These Arnold-Schwarzenegger-like cows | 0:29:49 | 0:29:51 | |
are reared in many parts of Europe. | 0:29:51 | 0:29:53 | |
They're called Belgian Blues, | 0:29:53 | 0:29:55 | |
and they've been specially bred over many years | 0:29:55 | 0:29:57 | |
to have 20% more muscle than the average cow. | 0:29:57 | 0:30:01 | |
COWS MOO | 0:30:01 | 0:30:04 | |
He really doesn't like me, does he? | 0:30:04 | 0:30:06 | |
-COW MOOS ANGRILY -Yeah, go on. | 0:30:08 | 0:30:11 | |
That extra muscle equates to around 900 more quarter pounders. | 0:30:11 | 0:30:16 | |
They look like bodybuilders. | 0:30:16 | 0:30:18 | |
I mean, look at the size of them. | 0:30:18 | 0:30:19 | |
Look at the size of the muscle, | 0:30:19 | 0:30:21 | |
and they can be reared up to a tonne in weight. | 0:30:21 | 0:30:24 | |
That's about the same as a small car. | 0:30:25 | 0:30:28 | |
If you look at their cuts of meat, | 0:30:28 | 0:30:30 | |
where the sirloin is at the top, | 0:30:30 | 0:30:32 | |
where you've got the rump at the back on its hind leg, | 0:30:32 | 0:30:34 | |
they look slightly freakish, | 0:30:34 | 0:30:36 | |
and they look like they're about to attack me. | 0:30:36 | 0:30:39 | |
I was attacked by a pig once, who bit my hand, | 0:30:39 | 0:30:41 | |
and now I feel the cows are getting their revenge. | 0:30:41 | 0:30:43 | |
COWS MOO | 0:30:43 | 0:30:45 | |
But Belgian Blues are controversial and difficult to farm. | 0:30:45 | 0:30:50 | |
Most are unable to give birth naturally, | 0:30:50 | 0:30:53 | |
and their calves can have joint and heart problems. | 0:30:53 | 0:30:56 | |
This, to me, doesn't feel like the right way forward. | 0:30:56 | 0:30:59 | |
COW MOOS | 0:30:59 | 0:31:02 | |
So, if beefier cows aren't the answer, | 0:31:02 | 0:31:05 | |
how else can we produce enough meat for everyone's plates? | 0:31:05 | 0:31:08 | |
Well, just 20 miles down the road, scientists have got in on the act. | 0:31:11 | 0:31:15 | |
# They did the mash | 0:31:15 | 0:31:17 | |
-# They did the monster mash -The monster mash... # | 0:31:17 | 0:31:20 | |
It's a burger but not as we know it. | 0:31:20 | 0:31:22 | |
It was made in a laboratory and cost more than £200,000. | 0:31:22 | 0:31:26 | |
-# They did the mash -They did the monster mash... # | 0:31:26 | 0:31:29 | |
It's the world's most expensive burger | 0:31:29 | 0:31:32 | |
because it doesn't come from a cow, | 0:31:32 | 0:31:35 | |
but has been grown in the lab by Professor Mark Post. | 0:31:35 | 0:31:39 | |
It's incredible to meet you, Mark. | 0:31:39 | 0:31:41 | |
-You are the man behind the £200,000 burger. -Yes. | 0:31:41 | 0:31:46 | |
Can I get cheese and bacon on mine? | 0:31:46 | 0:31:48 | |
-For that money, you can, yes. -HE LAUGHS | 0:31:48 | 0:31:50 | |
This pricey burger is made by taking a tiny piece of meat | 0:31:52 | 0:31:55 | |
from a real cow and extracting stem cells. | 0:31:55 | 0:31:59 | |
These microscopic cells then multiply millions of times | 0:32:01 | 0:32:05 | |
in the lab to make new muscle tissue. | 0:32:05 | 0:32:08 | |
-This is a cell. -Right. | 0:32:08 | 0:32:10 | |
So, how many of these cells would make a quarter pounder burger? | 0:32:10 | 0:32:15 | |
-30 billion. -30 billion? | 0:32:15 | 0:32:17 | |
-Yeah. -Incredible. | 0:32:17 | 0:32:20 | |
'To encourage the stem cells to reproduce, | 0:32:20 | 0:32:23 | |
'they're kept in an incubator at body temperature.' | 0:32:23 | 0:32:27 | |
And there, they are comfortable, and they will start to multiply. | 0:32:27 | 0:32:30 | |
-Wow, I'm growing my own meat. -Yes. | 0:32:30 | 0:32:32 | |
-It takes about eight weeks, which is much faster than a cow. -OK. | 0:32:32 | 0:32:35 | |
Sure. | 0:32:35 | 0:32:36 | |
'The average beef cow takes around two years to rear.' | 0:32:36 | 0:32:41 | |
Can we see the final result? | 0:32:41 | 0:32:42 | |
Yeah, yeah, we have a mini burger here. | 0:32:42 | 0:32:45 | |
-Mini burger? -A mini burger. -OK. A slider, as we call it in business. | 0:32:45 | 0:32:48 | |
Well, this is a little slider, I guess. | 0:32:48 | 0:32:51 | |
That's not just a mini burger. | 0:32:51 | 0:32:53 | |
That's, like, barely bigger than my thumb. | 0:32:53 | 0:32:56 | |
How much is that worth? | 0:32:56 | 0:32:57 | |
-20,000 euros. -20,000 euros? -Yeah. | 0:32:57 | 0:33:01 | |
So, how will that eventually go into our shops? | 0:33:01 | 0:33:04 | |
What we need to do is to scale up production, | 0:33:04 | 0:33:07 | |
to use very large tanks, the size of an Olympic swimming pool. | 0:33:07 | 0:33:12 | |
There's part of me that does want to go, "£20,000?!" | 0:33:12 | 0:33:15 | |
-I can imagine, yes. -SHE LAUGHS | 0:33:15 | 0:33:17 | |
From a chef's point, you know, | 0:33:17 | 0:33:18 | |
but I won't, I won't upset you, Mark. | 0:33:18 | 0:33:20 | |
I thought I'd ask. | 0:33:20 | 0:33:22 | |
Those who have tasted the lamb burger thought it was close to meat, | 0:33:22 | 0:33:26 | |
but the texture needed some work. | 0:33:26 | 0:33:28 | |
So, could this be the answer to our global meat shortage? | 0:33:30 | 0:33:33 | |
Mark thinks his meat will be cheap enough to get | 0:33:35 | 0:33:38 | |
onto our supermarket shelves in less than ten years. | 0:33:38 | 0:33:41 | |
So, perhaps your burger and chips will soon come to you | 0:33:41 | 0:33:45 | |
straight from the lab. | 0:33:45 | 0:33:47 | |
Back in Yorkshire, it's not about the future of meat, | 0:33:55 | 0:33:58 | |
but meat alternatives. | 0:33:58 | 0:33:59 | |
From specks of fungus, the Quorn dough is now being shaped | 0:34:02 | 0:34:06 | |
and cooked, to become the meat-free equivalent of chicken nuggets. | 0:34:06 | 0:34:10 | |
'But how do they give it the flavour and texture of meat? | 0:34:15 | 0:34:18 | |
'Tim Finnigan has taken me to the freezer to find out.' | 0:34:21 | 0:34:25 | |
Now, it's the freezing which is really, really important. | 0:34:27 | 0:34:30 | |
It's the freezing that transforms the texture from something which is | 0:34:30 | 0:34:34 | |
kind of a bit dough-like to something which is really meat-like. | 0:34:34 | 0:34:37 | |
Now, that's unusual, because if you freeze meat for too long, | 0:34:37 | 0:34:40 | |
it'll break down the texture. | 0:34:40 | 0:34:42 | |
so why does it have the opposite effect here? | 0:34:42 | 0:34:44 | |
What happens is, the ice crystals grow, and they push together | 0:34:44 | 0:34:47 | |
the tiny, sort of, like, tree branches, the fibres | 0:34:47 | 0:34:50 | |
together to form fibrous bundles, and it's those fibrous bundles | 0:34:50 | 0:34:53 | |
that will give you that meat-like texture. | 0:34:53 | 0:34:56 | |
MUSIC: Cold As Ice by Foreigner | 0:34:56 | 0:34:59 | |
# You're as cold as ice... # | 0:35:04 | 0:35:07 | |
Freezing may give it the texture of meat, | 0:35:09 | 0:35:12 | |
but does it taste like meat? | 0:35:12 | 0:35:14 | |
To find out, I'm going to see Carol Jarrett. | 0:35:14 | 0:35:17 | |
-Carol, how are you? -Fine, thank you. -You're the food technologist here. | 0:35:19 | 0:35:23 | |
-Yes. Welcome. -So, your job, essentially, is to take this on | 0:35:23 | 0:35:25 | |
-the final part of its journey. -Yes. | 0:35:25 | 0:35:27 | |
Cos when we first saw this, it was a tiny granule. | 0:35:27 | 0:35:30 | |
-Yes. -And we've seen it go through the fermentation process, | 0:35:30 | 0:35:33 | |
and the shaping process, | 0:35:33 | 0:35:34 | |
and we've seen it go through the freezing process. | 0:35:34 | 0:35:37 | |
These, by the way, I presume these are the nuggets that we saw. | 0:35:37 | 0:35:39 | |
Now, that's... When I open them up, that does look fibrous and chickeny. | 0:35:39 | 0:35:45 | |
And you get the good texture as well. | 0:35:45 | 0:35:47 | |
No, but I can feel the texture of it, actually, yeah. | 0:35:47 | 0:35:50 | |
'By changing the ingredients mixed in with the fungus before it's frozen, | 0:35:51 | 0:35:56 | |
'they can mimic the flavour and textures of different types of meat.' | 0:35:56 | 0:36:01 | |
-So, we've got hot dogs. -Hot dogs, yeah. | 0:36:01 | 0:36:03 | |
And we've got our pasty. | 0:36:03 | 0:36:06 | |
We've got pies, | 0:36:06 | 0:36:08 | |
we've got a Brazilian curry, a chilli, | 0:36:08 | 0:36:10 | |
we've got a Thai, | 0:36:10 | 0:36:11 | |
chipolata sausages... | 0:36:11 | 0:36:13 | |
'The products can also be tailored to different countries.' | 0:36:13 | 0:36:16 | |
-We've got a bratwurst sausage. -Cos that's a very smooth German sausage, | 0:36:16 | 0:36:19 | |
as opposed to the sausage that we'd be more used to here. | 0:36:19 | 0:36:22 | |
Used to - which is a very open texture. | 0:36:22 | 0:36:24 | |
This one, particularly, is for the American market, | 0:36:24 | 0:36:27 | |
-which is the hot and spicy. -OK. | 0:36:27 | 0:36:29 | |
-That is quite spicy, yeah. -Yeah. | 0:36:31 | 0:36:33 | |
Man, you can... That is quite spicy. | 0:36:33 | 0:36:34 | |
OK, you could put anything in there with that amount of spice. | 0:36:34 | 0:36:37 | |
-Well, our brief was America, really. -They actually like the spice. | 0:36:37 | 0:36:40 | |
Yes, they like the hot and spicy. | 0:36:40 | 0:36:43 | |
Around a third of UK households already buying meat alternatives, | 0:36:43 | 0:36:47 | |
and with real meat becoming ever more expensive, the market is on the rise. | 0:36:47 | 0:36:52 | |
Now, back to our food-free experiment. | 0:37:03 | 0:37:05 | |
For seven days, our volunteers have | 0:37:05 | 0:37:07 | |
been living without eating, getting | 0:37:07 | 0:37:09 | |
all the nutrients they need from | 0:37:09 | 0:37:11 | |
a futuristic food replacement shake, | 0:37:11 | 0:37:15 | |
but it hasn't been easy. | 0:37:15 | 0:37:18 | |
Last night, I was having dreams that I was eating biscuits, | 0:37:18 | 0:37:20 | |
and just handfuls of cheese from all around the kitchen. | 0:37:20 | 0:37:23 | |
Yeah, I've been fairly hungry all day, | 0:37:23 | 0:37:25 | |
and it's a fairly unenjoyable experience. | 0:37:25 | 0:37:30 | |
This is my husband's dinner and this is my shake. | 0:37:30 | 0:37:34 | |
It's becoming increasingly difficult | 0:37:34 | 0:37:36 | |
now to stick to this diet, | 0:37:36 | 0:37:38 | |
with sausages being waved in my face. | 0:37:38 | 0:37:40 | |
By day five, the allure of real food had become too much for some. | 0:37:40 | 0:37:44 | |
It's just a cheese sandwich, | 0:37:46 | 0:37:48 | |
but it's probably the best cheese sandwich I've ever had. | 0:37:48 | 0:37:52 | |
But there are also signs that some of us | 0:37:52 | 0:37:54 | |
are actually getting used to the diet. | 0:37:54 | 0:37:56 | |
And for the last couple of days, | 0:37:56 | 0:37:57 | |
I've actually been feeling perfectly full. I haven't felt that tired. | 0:37:57 | 0:38:00 | |
I've had enough energy, which, considering how rubbish | 0:38:00 | 0:38:04 | |
I felt at the start, really wasn't something I was expecting. | 0:38:04 | 0:38:07 | |
So, what about everyone else? | 0:38:08 | 0:38:10 | |
After seven days, the challenge is over, | 0:38:10 | 0:38:12 | |
and we're back at the restaurant | 0:38:12 | 0:38:14 | |
to see how we all got on, | 0:38:14 | 0:38:16 | |
and finally have some real food. | 0:38:16 | 0:38:18 | |
So, I'm interested to know how your weeks have all been. | 0:38:19 | 0:38:22 | |
Mine's been horrible. How about you? How did you get on? | 0:38:22 | 0:38:25 | |
Yeah, I had no energy. | 0:38:25 | 0:38:26 | |
Nothing. I was... I had such a bad headache. | 0:38:26 | 0:38:28 | |
By Thursday, Friday, I was pretty much running on fumes. | 0:38:28 | 0:38:31 | |
In terms of time-saving, I think I probably saved in the region of | 0:38:31 | 0:38:35 | |
seven to ten hours, maybe even more. | 0:38:35 | 0:38:37 | |
I did actually think the time-saving was pretty good for me, actually. | 0:38:37 | 0:38:41 | |
'Overall, our volunteers saved an average of six hours each | 0:38:41 | 0:38:45 | |
'over the week, | 0:38:45 | 0:38:48 | |
'and computer gamer Tim, who's joined us remotely, | 0:38:48 | 0:38:51 | |
'found there were other benefits.' | 0:38:51 | 0:38:53 | |
Once my body got used to it, almost like a detox, | 0:38:53 | 0:38:55 | |
I found it much easier, but the morning and the lunchtime shakes | 0:38:55 | 0:38:58 | |
were actually really enjoyable, because I found them... | 0:38:58 | 0:39:01 | |
Like, you know, it gave me energy. | 0:39:01 | 0:39:03 | |
I think this is something I'm going to take into my real life now. | 0:39:03 | 0:39:07 | |
'So, Tim is a convert and plans to continue using the shakes | 0:39:07 | 0:39:10 | |
'for at least some of his meals, | 0:39:10 | 0:39:12 | |
'but I have a feeling he'll be on his own.' | 0:39:12 | 0:39:15 | |
Right, well, thankfully that's all over. | 0:39:15 | 0:39:18 | |
-I bet you're all delighted, aren't you? -Yes. -Yes, we are. | 0:39:18 | 0:39:21 | |
Thank you very much for doing it. It was terrible, wasn't it? | 0:39:21 | 0:39:24 | |
-Oh, it was, yeah. -Horrible. | 0:39:24 | 0:39:26 | |
'Well, that week was nothing short of horrendous.' | 0:39:26 | 0:39:30 | |
You might save time, but as far as I'm concerned, it's not worth it. | 0:39:30 | 0:39:34 | |
So, can the future be food-free? | 0:39:34 | 0:39:37 | |
Well, I certainly hope not, and certainly not for me. | 0:39:37 | 0:39:40 | |
It's not just our food that's changing | 0:39:51 | 0:39:53 | |
but also the way we pay for it. | 0:39:53 | 0:39:55 | |
We can already pay with a tap, a mobile phone - even a watch. | 0:39:56 | 0:40:00 | |
MUSIC: A Face Like That by Pet Shop Boys | 0:40:00 | 0:40:03 | |
And Shini's in China, where they may have the next big thing. | 0:40:03 | 0:40:08 | |
Here at the supermarket in Shanghai, | 0:40:09 | 0:40:11 | |
they've got a checkout payment system that has cutting-edge | 0:40:11 | 0:40:14 | |
technology, where you actually pay for your food with your face. | 0:40:14 | 0:40:17 | |
# With a face like that. # | 0:40:17 | 0:40:20 | |
Do you want cash, credit card, or FacePay? | 0:40:24 | 0:40:26 | |
-FacePay, please. -OK, got it. | 0:40:26 | 0:40:30 | |
'The system uses thermal imaging to scan the network of capillaries | 0:40:30 | 0:40:33 | |
'and veins under the skin of my face and hand, | 0:40:33 | 0:40:37 | |
'and matches them to a stored image.' | 0:40:37 | 0:40:40 | |
So, instead of using a normal bank card, | 0:40:40 | 0:40:42 | |
I just present my face instead. | 0:40:42 | 0:40:44 | |
Seems really straightforward. | 0:40:44 | 0:40:47 | |
'The pattern of blood vessels it scans is unique, | 0:40:47 | 0:40:51 | |
'even in identical twins. | 0:40:51 | 0:40:53 | |
'Cash, credit cards and fingerprints can all be stolen and copied, | 0:40:54 | 0:40:59 | |
'but there's no way anyone | 0:40:59 | 0:41:01 | |
'can replicate my face.' | 0:41:01 | 0:41:02 | |
-Thank you. Have a good day. -Thank you. -See you. | 0:41:06 | 0:41:09 | |
If you want to check this out for yourself, | 0:41:11 | 0:41:13 | |
you'll need to come to China. | 0:41:13 | 0:41:15 | |
'So far, this is the only one in the world.' | 0:41:15 | 0:41:18 | |
Throughout this series, | 0:41:27 | 0:41:28 | |
we're going to be meeting the world's greatest experts | 0:41:28 | 0:41:31 | |
to discuss the big issues about what we eat, | 0:41:31 | 0:41:34 | |
and one of the things that could change it | 0:41:34 | 0:41:36 | |
more than anything else would be GM. | 0:41:36 | 0:41:38 | |
But genetically modified food is controversial. | 0:41:40 | 0:41:43 | |
Is it dangerous and to be avoided, | 0:41:44 | 0:41:46 | |
or could it be the answer to better food for all of us? | 0:41:46 | 0:41:49 | |
I've come to Norwich, | 0:41:52 | 0:41:54 | |
where they're using GM to change the genes in tomatoes, | 0:41:54 | 0:41:57 | |
creating a new kind of super-tomato | 0:41:57 | 0:41:59 | |
that could help make us all healthier. | 0:41:59 | 0:42:01 | |
You always visit one of these places, wondering, | 0:42:03 | 0:42:05 | |
"Is it going to look like some sort of futuristic | 0:42:05 | 0:42:08 | |
"super laboratory from the future?" | 0:42:08 | 0:42:09 | |
When in fact, it looks like the back of a university building, | 0:42:09 | 0:42:12 | |
which is how they always look. | 0:42:12 | 0:42:13 | |
But inside here is interesting. What's going to be in here? | 0:42:13 | 0:42:16 | |
Is there going to be eight-foot tall fruit and vegetables? | 0:42:16 | 0:42:18 | |
Is it going to be behind a series of airlocks and doors? | 0:42:18 | 0:42:21 | |
I'd imagine the truth is a little bit more mundane than that. | 0:42:21 | 0:42:23 | |
'In these greenhouses are a crop of purple GM tomatoes. | 0:42:26 | 0:42:30 | |
'Their creator, Professor Cathie Martin, | 0:42:32 | 0:42:34 | |
'believes they could make us much healthier.' | 0:42:34 | 0:42:37 | |
You may have heard of super-fruits and... | 0:42:40 | 0:42:41 | |
Yes, that's a term I've heard a lot. | 0:42:41 | 0:42:43 | |
And there are beneficial compounds in super-fruits | 0:42:43 | 0:42:47 | |
that help in your diet. | 0:42:47 | 0:42:49 | |
These compounds are naturally occurring. | 0:42:49 | 0:42:51 | |
They're called anthocyanins, | 0:42:51 | 0:42:53 | |
and they're what gives everything from blackberries | 0:42:53 | 0:42:56 | |
to aubergines their distinctive purple colour. | 0:42:56 | 0:42:59 | |
They're thought to reduce the risk of heart disease, stroke | 0:43:01 | 0:43:04 | |
and even cancer, | 0:43:04 | 0:43:06 | |
and now they've being genetically added to Cathie's tomatoes. | 0:43:06 | 0:43:10 | |
OK, grand. Let me open one of these up, so we get to see how this looks. | 0:43:10 | 0:43:14 | |
-Yeah, that is just a tomato. but purple. -Yes. | 0:43:16 | 0:43:20 | |
'And there's a good reason why Cathie chose tomatoes for the job.' | 0:43:20 | 0:43:24 | |
-Tomato is the biggest consumed fruit in the world. -Yeah. | 0:43:24 | 0:43:28 | |
People eat tomato in ketchup. | 0:43:28 | 0:43:30 | |
They eat it in pizza sauce and they eat it even in a Big Mac. | 0:43:30 | 0:43:34 | |
So we can actually get something that might be accessible to | 0:43:34 | 0:43:38 | |
people who are on low incomes and who have rather bad diets | 0:43:38 | 0:43:41 | |
that we can enhance using this tomato. | 0:43:41 | 0:43:44 | |
How did you create this new type of tomato? | 0:43:45 | 0:43:48 | |
So, we took genes from a snapdragon, | 0:43:48 | 0:43:51 | |
and then we moved them into the tomatoes. | 0:43:51 | 0:43:54 | |
Are we doing a thing that couldn't happen naturally? | 0:43:54 | 0:43:56 | |
Yes, we are doing something that wouldn't happen naturally. | 0:43:56 | 0:43:59 | |
-But do you think that makes it unsafe? -No, I don't think so. | 0:43:59 | 0:44:02 | |
We do an awful lot of testing of whether it is safe. | 0:44:02 | 0:44:06 | |
We're not adding anything that wouldn't normally be in the diet, | 0:44:06 | 0:44:09 | |
we're just putting it in a package that is a little bit more enriched. | 0:44:09 | 0:44:13 | |
Tomatoes packed full of extra health benefits seems like a no-brainer. | 0:44:15 | 0:44:20 | |
So, we're making these things | 0:44:20 | 0:44:22 | |
-which could have enormous public health benefits... -Mm-hmm. | 0:44:22 | 0:44:25 | |
..but I, for example, can't take this off the stalk | 0:44:25 | 0:44:27 | |
-and walk out through those doors? -No. | 0:44:27 | 0:44:30 | |
They're so controversial that tight regulations mean | 0:44:30 | 0:44:33 | |
they can't even leave this building for fear of the genes | 0:44:33 | 0:44:37 | |
getting into the wild and breeding with our food crops. | 0:44:37 | 0:44:40 | |
'Anti-GM campaigner Liz O'Neill has many concerns, | 0:44:49 | 0:44:52 | |
'from whether GM works to its safety.' | 0:44:52 | 0:44:56 | |
So, what is the difference for you, for GM, | 0:44:56 | 0:44:59 | |
as opposed to the kind of crossbreeding by which we've | 0:44:59 | 0:45:02 | |
been doing our agriculture for 3,000 years? | 0:45:02 | 0:45:05 | |
Well, GM is essentially an artificial manipulation of DNA. | 0:45:05 | 0:45:10 | |
I mean, one could argue that, | 0:45:10 | 0:45:11 | |
I suppose, any breeding has a level of artificiality, but they're | 0:45:11 | 0:45:14 | |
actually going into the lab and they are adding something into the plant. | 0:45:14 | 0:45:17 | |
It's presented as... | 0:45:17 | 0:45:19 | |
I think the phrase "cut and paste" gets used a lot, whereas actually, | 0:45:19 | 0:45:22 | |
it's not just the DNA that is for the trait that they have to put in. | 0:45:22 | 0:45:26 | |
There's a whole load of other stuff that comes with it. | 0:45:26 | 0:45:28 | |
There's an awful lot that can go wrong. | 0:45:28 | 0:45:31 | |
The fear is that unintended genetic traits, that could be | 0:45:33 | 0:45:36 | |
damaging to the ecosystem or us, could also end up in our food. | 0:45:36 | 0:45:40 | |
But after several decades of testing, | 0:45:43 | 0:45:45 | |
no genetically modified products have ever been found to be harmful, | 0:45:45 | 0:45:49 | |
and some - from imported chocolate bars to animal feed - | 0:45:49 | 0:45:53 | |
are already part of our food chain. | 0:45:53 | 0:45:55 | |
'The advances offered by GM don't stop with the veg. | 0:46:03 | 0:46:06 | |
'I've come to California to meet a man who has genetically engineered | 0:46:07 | 0:46:11 | |
'goats to produce a key ingredient of human breast milk.' | 0:46:11 | 0:46:16 | |
A tomato that's purple - | 0:46:16 | 0:46:18 | |
we can kind of get our heads around that, | 0:46:18 | 0:46:21 | |
but goats delivering human breast milk? | 0:46:21 | 0:46:24 | |
Even I find that slightly strange. | 0:46:24 | 0:46:26 | |
'Professor Jim Murray believes that his goats' milk | 0:46:32 | 0:46:35 | |
'could save a million children a year.' | 0:46:35 | 0:46:38 | |
And these are the genetically-engineered goats. | 0:46:38 | 0:46:41 | |
To the untrained eye, they do not look | 0:46:41 | 0:46:42 | |
any different to any other goats. | 0:46:42 | 0:46:44 | |
They look like ordinary goats and they act like ordinary goats | 0:46:44 | 0:46:47 | |
because they are ordinary goats. The only difference is, | 0:46:47 | 0:46:49 | |
they contain one small piece of DNA that normally comes from humans. | 0:46:49 | 0:46:53 | |
GOAT BLEATS Thank you very much. | 0:46:53 | 0:46:55 | |
In human milk, there's two main proteins which are antimicrobial, | 0:46:55 | 0:46:59 | |
-so they kill bacteria. -Right. Yeah. | 0:46:59 | 0:47:00 | |
And they're very, very abundant in human milk. | 0:47:00 | 0:47:03 | |
And this is a protein that can fight diarrhoea, for example? | 0:47:03 | 0:47:06 | |
So, this protein helps prevent the growth of bacteria | 0:47:06 | 0:47:09 | |
that are bad for you, like E coli, that can cause diarrhoea. | 0:47:09 | 0:47:13 | |
GOAT BLEATS One goat at a time. | 0:47:15 | 0:47:17 | |
It's a strictly one-goat policy. | 0:47:17 | 0:47:19 | |
Oh, hello. | 0:47:19 | 0:47:21 | |
There are parts of the world where diarrhoea kills more children | 0:47:21 | 0:47:24 | |
than AIDS, malaria and measles combined, | 0:47:24 | 0:47:29 | |
but Jim's goat milk isn't helping those children yet. | 0:47:29 | 0:47:33 | |
It's a regulatory issue. It's not a science issue. | 0:47:34 | 0:47:37 | |
I think the science would be very clear that these animals are safe, | 0:47:37 | 0:47:42 | |
but in fact, without regulatory approval, they don't get used, | 0:47:42 | 0:47:46 | |
and so that's where were at. | 0:47:46 | 0:47:48 | |
Is this as far as these goats will ever get? | 0:47:48 | 0:47:51 | |
I would like to think not, but so far, yes. | 0:47:51 | 0:47:54 | |
There was a time where a report like this about GM foods would have been | 0:47:58 | 0:48:02 | |
about the triumph of science, but to be more balanced now, | 0:48:02 | 0:48:05 | |
you have to say part of it is about the failure of science to | 0:48:05 | 0:48:08 | |
allay people's fears - | 0:48:08 | 0:48:09 | |
to reduce their nervousness about something new. | 0:48:09 | 0:48:13 | |
But there are parts of the world where these kind of things | 0:48:13 | 0:48:15 | |
could save lives. | 0:48:15 | 0:48:17 | |
GOAT BLEATS | 0:48:17 | 0:48:19 | |
When it comes to cooking, most of us are creatures of habit. | 0:48:33 | 0:48:38 | |
On average, we cook just the same nine recipes over and over. | 0:48:38 | 0:48:42 | |
So, Angela's in New York, to try out a new piece of technology | 0:48:44 | 0:48:47 | |
that claims to be able to help us all become | 0:48:47 | 0:48:49 | |
more adventurous in the kitchen. | 0:48:49 | 0:48:52 | |
When I'm coming up with new dishes, | 0:48:52 | 0:48:54 | |
I've got a pretty good idea of what ingredients work well together. | 0:48:54 | 0:48:57 | |
That's delicious. | 0:48:57 | 0:49:00 | |
And that's due to years of cooking trial and error | 0:49:00 | 0:49:02 | |
with lots of different flavours. | 0:49:02 | 0:49:04 | |
'But I'm about to take on a chef who hasn't spent late nights | 0:49:06 | 0:49:09 | |
'experimenting with ingredients. | 0:49:09 | 0:49:12 | |
'In fact, he's never even been in a kitchen. | 0:49:12 | 0:49:15 | |
'His name is Chef Watson, and he's a supercomputer.' | 0:49:15 | 0:49:19 | |
Can a computer ever come up with better recipes | 0:49:20 | 0:49:22 | |
and flavour combinations than a person? I don't think so. | 0:49:22 | 0:49:26 | |
Watson is an artificial intelligence system designed to think | 0:49:27 | 0:49:31 | |
and learn like a human brain, only much faster. | 0:49:31 | 0:49:35 | |
The inventors at IBM programmed in thousands of recipes | 0:49:36 | 0:49:40 | |
and lots of science - | 0:49:40 | 0:49:41 | |
everything from flavour compounds to human taste preferences. | 0:49:41 | 0:49:45 | |
MUSIC: Peaches by The Stranglers | 0:49:45 | 0:49:48 | |
'The theory is that Chef Watson will spot connections we might miss | 0:49:48 | 0:49:52 | |
'and create extraordinary flavour combinations... | 0:49:52 | 0:49:55 | |
'..so I'm going to see what it can do with a bag of peaches. | 0:49:58 | 0:50:01 | |
'My sous-chef for the day is my friend | 0:50:03 | 0:50:05 | |
'and New York food writer Ed Schneider.' | 0:50:05 | 0:50:07 | |
-Ed, how are you doing, my love? -Angela. | 0:50:08 | 0:50:10 | |
-Are you good? -Yeah, not bad. | 0:50:10 | 0:50:12 | |
-I got some lovely peaches at the market. -And a beautiful day for it. | 0:50:12 | 0:50:17 | |
'All you do is type your ingredients into the app, | 0:50:17 | 0:50:20 | |
'then Chef Watson starts coming up with flavour combinations | 0:50:20 | 0:50:24 | |
'it thinks will work.' | 0:50:24 | 0:50:26 | |
Here are some ideas. | 0:50:26 | 0:50:28 | |
Would I put chives with peaches? I'm not so sure. | 0:50:28 | 0:50:31 | |
There is garlic and ginger. | 0:50:31 | 0:50:33 | |
-Ketchup? -Peach, ketchup, bay leaf and tomato juice. | 0:50:33 | 0:50:37 | |
I don't think it knows that much about cooking. | 0:50:37 | 0:50:40 | |
What's this one with bourbon? Peach fettuccine. | 0:50:40 | 0:50:44 | |
I would never put peach with bourbon | 0:50:44 | 0:50:46 | |
but it's saying that these sort of things could work. | 0:50:46 | 0:50:49 | |
'We've opted to cook a peach pasta, | 0:50:49 | 0:50:51 | |
'with Cheddar cheese, asparagus and whisky.' | 0:50:51 | 0:50:54 | |
I think it sounds disgusting, but there you go. | 0:50:54 | 0:50:57 | |
'We two traditionalists might be a bit sniffy about it | 0:50:57 | 0:51:00 | |
'but we're following Chef Watson's recipe to the letter.' | 0:51:00 | 0:51:04 | |
I mean, to be honest, I could see peaches and asparagus together. | 0:51:04 | 0:51:08 | |
I'm not sure if I would see the bourbon with it | 0:51:08 | 0:51:11 | |
and I definitely wouldn't put the Cheddar cheese. | 0:51:11 | 0:51:13 | |
So, we're really going to go with 4oz of this stuff? | 0:51:13 | 0:51:16 | |
-We're going with 4oz, Ed. -OK. | 0:51:16 | 0:51:17 | |
It's quite a lot of bourbon, isn't it? | 0:51:17 | 0:51:19 | |
It's quite a lot of Cheddar cheese. | 0:51:19 | 0:51:20 | |
Ed, come on, this is supper. It's going to be great. | 0:51:20 | 0:51:23 | |
Chef Watson said so. | 0:51:23 | 0:51:25 | |
-Oh, crikey. -Here we go. -Ooh-la-la, that was a bit of a flame. | 0:51:25 | 0:51:28 | |
Well, that looks quite pretty. | 0:51:31 | 0:51:32 | |
I'm not sure it's going to taste great. | 0:51:32 | 0:51:35 | |
'To test my suspicions, we're going to try it out on Ed's wife Jackie. | 0:51:35 | 0:51:39 | |
Do you think she's going to like it, Ed? | 0:51:39 | 0:51:42 | |
I doubt it. | 0:51:42 | 0:51:43 | |
I think a toast to Chef Watson, now. | 0:51:43 | 0:51:45 | |
Absolutely. Better do the toast before we taste the dish. | 0:51:45 | 0:51:49 | |
I'm not quite sure I agree with this. It's too sweet, I think. | 0:51:55 | 0:51:59 | |
I actually have to say, Angela, | 0:51:59 | 0:52:01 | |
it's not as bad as I thought or feared. | 0:52:01 | 0:52:04 | |
-I don't actually think the peaches work, in a funny way. -Really? | 0:52:04 | 0:52:07 | |
-But it's edible. You see, I'm eating it, so you know... -Yeah. | 0:52:07 | 0:52:11 | |
LAUGHTER | 0:52:11 | 0:52:13 | |
'The Chef Watson app didn't work very well for us | 0:52:13 | 0:52:17 | |
'but perhaps I'm missing something.' | 0:52:17 | 0:52:20 | |
I've come to meet James Briscione, | 0:52:20 | 0:52:22 | |
a chef at the Institute of Culinary Education. | 0:52:22 | 0:52:26 | |
He's using Chef Watson's brain in a different way. | 0:52:26 | 0:52:29 | |
He's taking Watson's ideas as inspiration, | 0:52:32 | 0:52:37 | |
but then coming up with new recipes of his own. | 0:52:37 | 0:52:40 | |
-James, good to meet you. -All right. Hello, how are you? | 0:52:41 | 0:52:43 | |
-How are you doing? Good, thank you. -Nice to see you. Thank you. | 0:52:43 | 0:52:46 | |
-What have we got here? -This is one of my favourites. | 0:52:46 | 0:52:48 | |
I absolutely love it. | 0:52:48 | 0:52:49 | |
'First up, a beef burrito, with chocolate, apricot and vanilla.' | 0:52:49 | 0:52:54 | |
-Everybody loves this one. -It does actually work together. | 0:52:54 | 0:52:57 | |
'Next, apple, infused with olive oil, sage, red wine and cherry.' | 0:52:57 | 0:53:04 | |
Mmm, the olive oil's lovely. That's delicious. | 0:53:04 | 0:53:07 | |
Apples and olive oil is one of my most favourite new combinations. | 0:53:07 | 0:53:09 | |
-Yeah. -I mean, it's always apples and butter, right? | 0:53:09 | 0:53:12 | |
-Everywhere we go, apples and butter. -Yeah, of course. | 0:53:12 | 0:53:14 | |
Apples share more flavour compounds with olive oil | 0:53:14 | 0:53:16 | |
than they do with butter. | 0:53:16 | 0:53:18 | |
'The more flavour compounds the ingredients share, | 0:53:18 | 0:53:21 | |
'the more likely they are to complement each other.' | 0:53:21 | 0:53:24 | |
-They really work together, actually. -Isn't it? | 0:53:24 | 0:53:26 | |
This really goes against my whole ethos as a chef. | 0:53:26 | 0:53:29 | |
If you'd sent me a list of those ingredients, | 0:53:29 | 0:53:31 | |
I would have just gone with a marker pen - | 0:53:31 | 0:53:32 | |
-scratch, scratch, scratch. -Get rid of that, get rid of that. | 0:53:32 | 0:53:35 | |
OK, so, two so far. Let's go for the... | 0:53:35 | 0:53:37 | |
-OK, so we're two for two. -Two for two. -All right. | 0:53:37 | 0:53:40 | |
'And finally, deep-fried Brussels sprouts, with cardamom, | 0:53:40 | 0:53:44 | |
'ginger and sweet potato.' | 0:53:44 | 0:53:47 | |
They work in your mouth, don't they? | 0:53:51 | 0:53:53 | |
-I mean... -Cardamom and Brussels sprouts. | 0:53:53 | 0:53:55 | |
You can see it's really killing me to say it all. | 0:53:55 | 0:53:57 | |
Ugh... | 0:53:57 | 0:53:58 | |
'So, James and Chef Watson have won me over, | 0:53:58 | 0:54:01 | |
'but should I be worried about my job prospects?' | 0:54:01 | 0:54:04 | |
Don't you think it's going to take away from | 0:54:04 | 0:54:06 | |
the talent of us as chefs a bit? | 0:54:06 | 0:54:08 | |
I mean, aren't you going to make us slightly redundant? | 0:54:08 | 0:54:10 | |
That we've got this computer that can then go blah-blah... | 0:54:10 | 0:54:13 | |
and we're like, this isn't the creative joy of us, in a way. | 0:54:13 | 0:54:16 | |
And this is why the chef is still someone important in this process. | 0:54:16 | 0:54:19 | |
-Yeah. -Even though the ingredients are being decided, | 0:54:19 | 0:54:21 | |
we've got to find the right way to combine them. | 0:54:21 | 0:54:23 | |
-Yeah. -So, it becomes this ultimate collaboration | 0:54:23 | 0:54:25 | |
between man and machine. | 0:54:25 | 0:54:26 | |
Well, I have to say, James, I came very sceptical | 0:54:26 | 0:54:30 | |
and I didn't think it was going to work, but, you know... | 0:54:30 | 0:54:32 | |
And I do think the burrito won. | 0:54:32 | 0:54:33 | |
I think, you know, that, you know, really was really good. | 0:54:33 | 0:54:36 | |
-We won't tell them. -Yeah, we won't tell them. | 0:54:36 | 0:54:38 | |
-Brilliant. -Keep it our little secret. | 0:54:38 | 0:54:39 | |
I may be a convert to the supercomputer's wild flavour combos | 0:54:44 | 0:54:49 | |
but what about the British public? | 0:54:49 | 0:54:52 | |
What will they make of a beef and chocolate burrito, | 0:54:52 | 0:54:56 | |
apple with olive oil, cherry and sage, | 0:54:56 | 0:55:01 | |
and those cardamom Brussels sprouts? | 0:55:01 | 0:55:03 | |
-Smells like Terry's Chocolate Orange. -Is that a marshmallow? | 0:55:06 | 0:55:09 | |
I don't know what it is. | 0:55:09 | 0:55:11 | |
That's actually quite nice. | 0:55:11 | 0:55:12 | |
That's nice. I quite like that. | 0:55:12 | 0:55:14 | |
Is it beef? | 0:55:14 | 0:55:15 | |
It's definitely an interesting flavour. | 0:55:15 | 0:55:17 | |
What do you think? | 0:55:17 | 0:55:19 | |
-I'm intrigued to know what that is. -No idea. | 0:55:19 | 0:55:21 | |
It kind of tastes like something that you'd put on a bit of toast. | 0:55:21 | 0:55:24 | |
At first bite into it, I was a bit not sure about this, but... | 0:55:24 | 0:55:27 | |
-But then after that it worked? -Yeah, but after that it does work, yes. | 0:55:27 | 0:55:30 | |
Yeah, I think the flavour combination is quite nice. | 0:55:30 | 0:55:32 | |
-Oh, yeah. -Oh, yeah. | 0:55:32 | 0:55:34 | |
Beef, cheese, chocolate... | 0:55:34 | 0:55:37 | |
It's a weird combination. | 0:55:37 | 0:55:39 | |
-That's a Brussels sprout! -Completely wrong, wasn't I? | 0:55:39 | 0:55:42 | |
-I don't like Brussels sprouts. Look what they've done to me. -Cool. | 0:55:42 | 0:55:45 | |
Lots of people seem to like them | 0:55:46 | 0:55:49 | |
but will they be surprised when they find out what created the flavours? | 0:55:49 | 0:55:54 | |
A computer? Really? | 0:55:54 | 0:55:55 | |
-I think it was good. I would say... -Yeah, that was really good. -Yeah. | 0:55:55 | 0:55:59 | |
Very amazed and surprised. | 0:55:59 | 0:56:01 | |
Well, if they can come up with flavours like that, | 0:56:01 | 0:56:04 | |
that I wasn't expecting at all, yeah, it's done very well. | 0:56:04 | 0:56:06 | |
I don't think I'd ever have even thought to put those | 0:56:06 | 0:56:09 | |
combinations together if a computer hadn't have done it for us, | 0:56:09 | 0:56:12 | |
so it's interesting, yeah. | 0:56:12 | 0:56:14 | |
I think the computer did well. | 0:56:14 | 0:56:16 | |
MUSIC: Theme from Mission: Impossible by Lalo Schifrin | 0:56:21 | 0:56:25 | |
OK, yeah, I'll be with you in a second. | 0:56:29 | 0:56:32 | |
I'm just ordering some coffee. | 0:56:32 | 0:56:35 | |
If you're in an office block in Amsterdam, | 0:56:35 | 0:56:37 | |
this is how you order your coffee. | 0:56:37 | 0:56:39 | |
Send. | 0:56:40 | 0:56:42 | |
That'll be along in a minute. | 0:56:43 | 0:56:46 | |
Revealing the jaw-dropping world of Tomorrow's Food has been | 0:56:46 | 0:56:49 | |
a strange and incredible journey. | 0:56:49 | 0:56:51 | |
We've learnt how sour can become sweet... | 0:56:51 | 0:56:53 | |
Mmm, that's lovely. | 0:56:53 | 0:56:55 | |
We've seen that chefs are becoming robotic... | 0:56:57 | 0:57:00 | |
Hello! | 0:57:00 | 0:57:02 | |
-..and we've seen how the seemingly unthinkable... -Ugh! | 0:57:04 | 0:57:07 | |
..has become the edible. | 0:57:07 | 0:57:09 | |
Delicious? | 0:57:09 | 0:57:10 | |
So, in our farms, on our supermarket shelves, | 0:57:14 | 0:57:17 | |
and piling onto our plates, | 0:57:17 | 0:57:18 | |
the future of our food is almost here, | 0:57:18 | 0:57:21 | |
as, indeed, is my coffee. | 0:57:21 | 0:57:24 | |
That's a very nice delivery system. | 0:57:24 | 0:57:26 | |
Let's get that coffee out. Lovely. | 0:57:26 | 0:57:29 | |
From all of us on Tomorrow's Food, cheers. | 0:57:29 | 0:57:32 |