Category: Science

Is Flaxseed Oil The Ultimate Way to Season Cast Iron?

There are thousands of websites out there with details and instructions on how to properly season your cast iron cooking implements. Sadly, very few, if any, actually discuss the science behind what is going on or why one method is better than another. All of them typically reference dozens of oils and fats that should or shouldn’t be used with little or no justification for their choices other than the culinary equivalent of old wives tales.

Flaxseed Oil for Seasoning Cast Iron

About two seasonings ago, I had come across an interesting concept surrounding flaxseed oil and have always meant to try it, but wanted to do some tests and comparisons of my own.  After some research, I’ve found Sheryl Canter’s original article which now seems to be referenced by most serious food blogs and sites. I’ll try some tests with in the coming weeks and hopefully get around to reporting some of the results. Time to get the trusty microscope out for some photomicrography!

In the meanwhile, here are some links to what appear to be the forefront of material out there on the subject.

Supporting Ideas and Criticism:

Harold McGee on Cast Iron

The inimitable McGee has relatively little to say on the subject, so I’ll quote it briefly below:

IRON AND STEEL

Iron was a relatively late discovery because it exists in the earth’s crust primarily in the form of oxides, and had to be encountered in it’s pure form by accident, perhaps when a fire was built on an outcropping of ore. Iron artifacts have been found that date from 3000 BCE, though the Iron Age, when the metal came into regular use without replacing copper and bronze (a copper-tin alloy) in preeminence, is said to begin around 1200 BCE. Cast iron is alloyed with about 3% carbon to harden the metal, and also contains some silicon; carbon steel contains less carbon, and is heat-treated to obtain a less brittle, tougher alloy that can be formed into thinner pans.  The chief attractions of cast iron and carbon steel in kitchen work are their cheapness and safety.  Excess iron is readily eliminated from the body, and most people can actually benefit from additional dietary iron.  Their greatest disadvantage is a tendency to corrode, though this can be avoided by regular seasoning (below) and gentle cleaning. Like aluminum, iron and carbon steel can discolor foods. And iron turns out to be a poorer conductor of heat than copper or aluminum. But exactly for this reason, and because it’s denser than aluminum, a cast iron pan will absorb more heat and hold it longer than a similar aluminum pan. Thick cast iron pans provide steady, even heat.

“Seasoning” Cast Iron and Carbon Steel Cooks who appreciate cast iron and carbon steel pans improve their easily corroded surface by building up an artificial protective layer.  They “season” them by coating them with cooking oil and heating them for several hours. The oil penetrates into the pores and fissures of the metal, sealing it from the attack of air and water. And the combination of heat, metal, and air oxidizes the fatty acid chains and enourages them to bond to each other (“polymerize”) to form a dense, hard, dry layer (just as linseed and other “drying oils” do on wood and on painintgs).  Highly unsaturated oils — soy oil, corn oil — are expecially prone to oxidation and polymerizing. To avoid removing the protective oil layer, cooks carefully clean seasoned cast iron pans with mild soaps and dissolving abrassive like salt, rather than with detergents and scouring pads.

Harold McGee (1951- ), food science writer
in On Food and Cooking: The Science and Lore of the Kitchen (Scribner, revised edition 2004)

It’s almost immediately apparent that Canter was inspired to use flaxseed oil by the standard go-to reference which mentions “linseed and other ‘drying oils'”.  Since it’s somewhat illustrative of cast iron pans in general, though it doesn’t reference seasoning, I’ll also direct the reader to McGee’s article What’s Hot, What’s Not, in Pots and Pans (New York Times, October 7, 2008) as well as Dave Arnold’s article Heavy Metal: the Science of Cast Iron Cooking.

I’ll note that the Culinary Institute of America’s The Professional Chef (Wiley, 7th edition, 2001) only mentions cast iron in passing on page 91 and doesn’t even use the word seasoning. (There is a more recent 9th edition, which I don’t own, but I doubt it has additional information given the scant nature found in the 7th edition.) Similarly “Iron Chef” Alton Brown’s I’m Just Here for the Food (Stewart, Tabori & Chang, 2011) has some generally fine directions for the beginning chef interested in science, but it doesn’t go past either McGee or the bulk of the online blogs with the common wisdom for cast iron.

cast iorn pan
A well-seasoned (manteca) cast iron pan cooking hashbrowns

In the coming research, I’ll delve into some of the journal literature to see what else I come up with, though I expect that it will be scant at best and not much more than the often cited July 1986 study in the Journal of the American Dietetic Association which discusses iron leaching out of pans into food substances.

Anyone with serious thoughts and ideas in this area is encouraged to share them in the comments.

 

Breaking the code | The Economist

Bookmarked Breaking the code (The Economist)
Brief book overview of Matthew Cobb's "Life’s Greatest Secret" from The Economist.
For those interested in some of the history behind genetics, evolution, biology and information theory, the following book, which I just saw the attached review in The Economist, is likely to be of interest:

Life’s Greatest Secret: The Story of the Race to Crack the Genetic Code. By Matthew Cobb. Basic Books; 434 pages; $29.99. Profile Books; £25.

In 1953 James Watson and Francis Crick, with the help of Rosalind Franklin and Maurice Wilkins, described the structure of the molecule at the heart of life. Deoxyribonucleic acid, better known as DNA, was, they said, a double helix, two spirals joined across the middle by pairs of four chemical bases, like a twisted ladder. That work earned Messrs Crick, Watson and Wilkins a Nobel prize and a place in the history books. The image of the double helix now often stands for biology, or even science, itself.

But this was merely the most visible breakthrough in a long struggle to understand the engine of life—how traits are inherited, mutated and weeded out by natural selection, and how the whole mysterious process works at the biochemical level. It is that lesser-known history that Matthew Cobb, a professor of animal behaviour at the University of Manchester, aims to sketch in his book, which has been shortlisted for the Royal Society’s Winton prize for science writing.

The result is a fascinating reminder of just how hard-won are the seemingly obvious facts of modern biology. The development of genetics was a tale of confusion, accident, frustration and the occasional flash of insight. It was, says Dr Cobb, as important as the Manhattan or Apollo projects, but with no government support and little money, carried out by scientists interested in the question for its own sake.

The researchers started from almost total ignorance. William Harvey, better known for describing the circulation of the blood, wondered in the 17th century what could explain why children’s skin colour was often a blend of their parents’, whereas they share a sex with only one, and can have an eye colour different from either.

In the late 19th century a monk, Gregor Mendel, established, through experiments on pea plants, the basic rules of inherited traits. A Danish biologist, Wilhelm Johannsen, coined the term “gene” in 1909 to describe whatever it was that Mendel had found. But as late as 1933 scientists were still debating whether genes were physical things or just useful abstractions, and how they could transmit traits. Scientists knew that DNA existed, but many considered it a boring bit of scaffolding in the cell. Proteins, which come in zillions of different varieties, were seen by many as the only things exciting enough to account for all the diversity seen in life.

After the second world war, ideas from information theory, arising out of wartime work on computers and automation, percolated into biology. Once the structure of DNA had been established, those ideas helped crack the problem of how the four chemical bases do their job. Proteins are built by stringing together 20 different sorts of amino acid. Strings of three bases within a DNA molecule represent these amino acids, but with 64 such triplets, there is much redundancy which information theory alone could not fully explain. Years of painstaking lab-work were needed to reconcile theory with reality.

Dr Cobb is good on the human side of the story, showing science as fuelled by rivalry, jealousy, competitiveness and wonder. The only downside is that he must marshal hundreds of scientists across several disciplines into around 300 pages of narrative. The results can sometimes be dense, and readers without a command of biological jargon will frequently find themselves consulting the glossary for guidance. But the cracking of the code of life is a great story, of which this is an accomplished telling.

Source: Breaking the code | The Economist, 

 

Life’s Greatest Secret

César Hidalgo on Why Information Grows | The RSA

I’ve just recently finished the excellent book Why Information Grows by César Hidalgo. I hope to post a reasonable review soon, but the ideas in it are truly excellent and fit into a thesis I’ve been working on for a while. For those interested, he does a reasonable synopsis of some of his thought in the talk he gave the the RSA recently, the video can be found below.

The underlying mathematics of what he’s discussing are fantastic (though he doesn’t go into them in his book), but the overarching implications of his ideas with relation to the future of humankind as a function of our economic system and society could have some significant impact.

“César visits the RSA to present a new view of the relationship between individual and collective knowledge, linking information theory, economics and biology to explain the deep evolution of social and economic systems.

In a radical rethink of what an economy is, one of WIRED magazine’s 50 People Who Could Change the World, César Hidalgo argues that it is the measure of a nation’s cultural complexity – the nexus of people, ideas and invention – rather than its GDP or per-capita income, that explains the success or failure of its economic performance. To understand the growth of economies, Hidalgo argues, we first need to understand the growth of order itself.”

No, It’s Not Your Opinion. You’re Just Wrong. | Houston Press

This has to be the best article of the entire year: “No, It’s Not Your Opinion. You’re Just Wrong.”

It also not coincidentally is the root of the vast majority of the problems the world is currently facing. There are so many great quotes here, I can’t pick a favorite, so I’ll highlight the same one Kimb Quark did that brought my attention to it:

“There’s nothing wrong with an opinion on those things. The problem comes from people whose opinions are actually misconceptions. If you think vaccines cause autism you are expressing something factually wrong, not an opinion. The fact that you may still believe that vaccines cause autism does not move your misconception into the realm of valid opinion. Nor does the fact that many other share this opinion give it any more validity.”

Jef Rouner
in No, It’s Not Your Opinion. You’re Just Wrong | Houston Press

 

Pictured: A bunch of people who were murdered regardless of someone's opinion on the subject
Pictured: A bunch of people who were murdered regardless of someone’s opinion on the subject

The Math That Connects Pluto to DNA — NOVA Next | PBS

Bookmarked The Math That Connects Pluto to DNA by Alex RileyAlex Riley (NOVA Next | PBS)
How a mathematical breakthrough from the 1960s now powers everything from spacecraft to cell phones.
Concurrent with the recent Pluto fly by, Alex Riley has a great popular science article on PBS that helps put the application of information theory and biology into perspective for the common person. Like a science version of “The Princess Bride”, this story has a little bit of everything that could be good and entertaining: information theory, biology, DNA, Reed-Solomon codes, fossils, interplanetary exploration, mathematics, music, genetics, computers, and even paleontology. Fans of Big History are sure to love the interconnections presented here.

Reed-Solomon codes correct for common transmission errors, including missing pixels (white), false signals (black), and paused transmissions (the white stripe).
Reed-Solomon codes correct for common transmission errors, including missing pixels (white), false signals (black), and paused transmissions (the white stripe).

Microscopic view of glass DNA storage beads

Game Theory’s Tit-for-Tat is Just a Mathematically Complete Version of Religion’s Golden Rule

The Golden Rule mandating that you treat others as you want them to treat you is simply a variation on tit-for-tat, one that emphasizes the benefit rather than the harm side. (The Christian principle of returning a favor for a harm in this respect is highly unusual and, one might note, more often than not unimplemented in Christian societies. No society I know of approves returning a harm for a favor as a general moral rule within the group.)

Francis Fukuyama (1952- ), American political scientist, political economist, author
in The Origins of Political Order: From Prehuman Times to the French Revolution (Farrar, Straus and Giroux, 2011)

 

Collective learning has potentially been growing at the expense of a shrinking body of diverse language

Yesterday, I saw an interesting linguistic exercise:

Short activity to show how flexible our language is and how difficult collective learning would have been for our non sapiens ancestors.

Step 1: As a class, choose 200 random words. (I had 15 kids choose 14 words each)

Step 2: Answer the following questions using only the words listed:

  1. How should we try to kill that mammoth?
  2. Explain why you should marry me.
  3. Give directions for a simple task.
  4. Come up with a plan to improve our cave.
  5. Describe a physical landscape.
  6. Come up with your own question!
Chris Scaturo
on February 3 at 8:44am in Yammer Group on Big History: Unit 6 – Early Humans Group

I have to imagine that once the conceptualization of language and some basic grammar existed, word generation was a much more common thing than it is now. It’s only been since the time of Noah Webster that humans have been actively standardizing things like spelling. If we can use Papua New Guinea as a model of pre-agrarian society and consider that almost 12% of extant languages on the Earth are spoken in an area about the size of Texas (and with about 1/5th the population of Texas too), then modern societies are actually severely limiting language (creation, growth, diversity, creativity, etc.) [cross reference: A World of Languages – and How Many Speak Them (Infographic)]

Consider that the current extinction of languages is about one every 14 weeks, which puts us on a course to loose about half of the 7,100 languages on the planet right now before the end of the century. Collective learning has potentially been growing at the expense of a shrinking body of diverse language! In the paper “Global distribution and drivers of language extinction risk” the authors indicate that of all the variables tested, economic growth was most strongly linked to language loss.

To help put this exercise into perspective, we can look at the corpus of extant written Latin (a technically dead language):

“It is a truly impressive fact that, simply by knowing that if one can memorize and master about 250 words in Latin, it will allow them to read and understand 50% of most written Latin. Further, knowledge of 1,500 Latin words will put one at the 80% level of vocabulary mastery for most texts. Mastering even a very small list of vocabulary allows one to read a large variety of texts very comfortably.”

BoffoSocko.com
with data from Dickinson College Commentaries

These numbers become even smaller when considering ancient Greek texts.

Another interesting measurement is the vocabulary of a modern 2 year old who typically has a 50-75 word vocabulary while a 4 year old has 250-500 words, which is about the level of the exercise.

As a contrast, consider the message in this TED Youth Talk from last year by Erin McKean, which students should be able to relate to:

[ted id=2158]

And of course, there’s the dog Chaser, which 60 minutes recently reported has a vocabulary of over 1,000 words. (Are we now destroying variants of “dog language” for English too?!)

Hopefully the evolutionary value of the loss of the multiple languages will be more than balanced out by the power of collective learning in the long run.

Molecular Programming Project

Bookmarked Molecular Programming Project (Molecular Programming Project)
 

“The Molecular Programming Project aims to develop computer science principles for programming information-bearing molecules like DNA and RNA to create artificial biomolecular programs of similar complexity. Our long-term vision is to establish molecular programming as a subdiscipline of computer science — one that will enable a yet-to-be imagined array of applications from chemical circuitry for interacting with biological molecules to nanoscale computing and molecular robotics.”

Source: MPP: Home

A world of languages – and how many speak them (Infographic)

An infographic from the South China Morning Post has some interesting statistics about which many modern people don’t know (or remember). It’s very interesting to see the distribution of languages and where they’re spoken. Of particular note that most will miss, even from this infographic, is that 839 languages are spoken in Papua New Guinea (11.8% of all known languages on Earth). Given the effects of history and modernity, imagine how many languages there might have been without them.

 

A World of Languages

Source: INFOGRAPHIC: A world of languages – and how many speak them

Why Information Grows: The Evolution of Order, from Atoms to Economies

I just ordered a copy of Why Information Grows: The Evolution of Order, from Atoms to Economies by Cesar Hidalgo. Although it seems more focused on economics, the base theory seems to fit right into some similar thoughts I’ve long held about biology.

Why Information Grows: The Evolutiion of Order from Atoms to Economies by Cesar Hidalgo
Why Information Grows: The Evolutiion of Order from Atoms to Economies by Cesar Hidalgo

 

From the book description:

“What is economic growth? And why, historically, has it occurred in only a few places? Previous efforts to answer these questions have focused on institutions, geography, finances, and psychology. But according to MIT’s antidisciplinarian César Hidalgo, understanding the nature of economic growth demands transcending the social sciences and including the natural sciences of information, networks, and complexity. To understand the growth of economies, Hidalgo argues, we first need to understand the growth of order.

At first glance, the universe seems hostile to order. Thermodynamics dictates that over time, order–or information–will disappear. Whispers vanish in the wind just like the beauty of swirling cigarette smoke collapses into disorderly clouds. But thermodynamics also has loopholes that promote the growth of information in pockets. Our cities are pockets where information grows, but they are not all the same. For every Silicon Valley, Tokyo, and Paris, there are dozens of places with economies that accomplish little more than pulling rocks off the ground. So, why does the US economy outstrip Brazil’s, and Brazil’s that of Chad? Why did the technology corridor along Boston’s Route 128 languish while Silicon Valley blossomed? In each case, the key is how people, firms, and the networks they form make use of information.

Seen from Hidalgo’s vantage, economies become distributed computers, made of networks of people, and the problem of economic development becomes the problem of making these computers more powerful. By uncovering the mechanisms that enable the growth of information in nature and society, Why Information Grows lays bear the origins of physical order and economic growth. Situated at the nexus of information theory, physics, sociology, and economics, this book propounds a new theory of how economies can do, not just more, but more interesting things.”

Science & Cooking: From Haute Cuisine to Soft Matter Science | edX

Bookmarked Science & Cooking: From Haute Cuisine to Soft Matter Science (edX)
Top chefs and Harvard researchers explore how everyday cooking and haute cuisine can illuminate basic principles in physics and engineering, and vice versa.
 

 

 

8th Annual North American School of Information Theory (NASIT)

Bookmarked 8th Annual North American School of Information Theory (NASIT) (nasit15.ucsd.edu)
August 10-13, 2015 – UC San Diego, La Jolla, California
Application deadline: June 7, 2015

The School of Information Theory will bring together over 100 graduate students, postdoctoral scholars, and leading researchers for four action-packed days of learning, stimulating discussions, professional networking and fun activities, all on the beautiful campus of the University of California, San Diego (UCSD) and in the nearby beach town of La Jolla.

  • Tutorials by some of the best known researchers in information theory and related fields
  • Poster presentations by student participants with feedback and discussion
  • Panel discussion on “IT: Academia vs. Industry Perspectives”
  • Social events and fun activities

BIRS Workshop: Advances and Challenges in Protein-RNA: Recognition, Regulation and Prediction (15w5063)

Bookmarked 15w5063: Advances and Challenges in Protein-RNA: Recognition, Regulation and Prediction (Banff International Research Station | birs.ca)
BIRS 5 day worksop, arriving in Banff, Alberta Sunday, June 7 and departing Friday, June 12, 2015

In the years since the first assembly of the human genome, the complex and vital role of RNA and RNA binding proteins in regulation of the genome expression has expanded through the discovery of RNA-binding proteins and large classes of non-coding RNA that control many developmental decisions as part of protein- RNA complexes. Our molecular level understanding of RNA regulation has dramatically improved as many new structures of RNA–protein complexes have been determined and new sophisticated experimental technologies and dedicated computational modeling have emerged to investigate these interactions at the whole-genome level. Further deep insight on the molecular mechanisms that underline genome expression regulation is critical for understanding fundamental biology and disease progression towards the discovery of new approaches to interfere with disease progression.

The proposed workshop will bring together experts in RNA biology with structural biologists that focus on RNA-protein complexes, as well as computational biologists who seek to model and develop predictive tools based on the confluence of these experimental advances. The workshop intends to foster new collaborations between experimental and computational biologists and catalyze the development of new and improved technologies (such as single cell binding methods) that merge experimental analysis with novel mathematical and computational techniques to better understand the rules of protein-RNA recognition and RNA-based biological regulation.

The organizers of the workshop are both leaders in the field of protein-RNA recognition and interactions: Yael Mandel-Gutfreund has been working in the field of protein-Nucleic Acids interactions since 1994. Her main research interest is protein-RNA recognition and regulation. She has developed several tools and web servers for predicting RNA binding proteins and RNA binding motifs. Yael is the head to the computational molecular laboratory at the Technion and the president of the Israeli society of Bioinformatics and Computational Biology. Gabriele Varani has been working in the field of RNA structure and protein-RNA interactions since 1987. His main research interest is the structural basis for protein-RNA recognition and the prediction and design of RNA-binding proteins. He determined some of the first few structures of protein-RNA complexes and developed computational tools to analyze and predict the specificity of RNA -binding proteins. His group applies these tools to design RNA-binding proteins with new specificity to control gene expression. Our invitation to participate in the workshop has been met with great enthusiasm by the researchers. More than 20 principle investigators have already confirmed their interest in attending. Six of the confirmed participants are female scientists including the organizer Yael Mandel-Gutfreund as well as Traci Hall, Lynne Maquat, Elena Conti, Susan Jones, Drena Dobbs. We also have invited and confirmed the participation of young and promising researchers including Markus Landthaler, Gene Yeo, Jernej Ule, Uwe Ohler and others. Our confirmed participants come from many different countries: US, Canada, UK, Scotland, Germany, Spain, Switzerland, Poland and Israel. Two confirmed participants as well as the organizer have attended the BIRS workshops in the past.

A key objective of the workshop is to bring together researchers with experimental, mathematical and computational background to share results and discuss the main advances and challenges in the prediction, analysis and control of RNA-protein recognition and RNA-based regulation of gene expression. Towards this aim, we plan to adopt the format of previous BIRS meetings in which invited participants (including selected students) will present relatively short presentations of 20 minutes plus 10 minutes of active discussions. This format will leave aside ample time for informal discussions to foster exchanges between participants. To stress the collaborative, multidisciplinary nature of the workshop, we plan to dedicate each of the workshop sessions to a specific topic that will comprise presentations of structural, experimental and computational approaches, rather than create session focused on a particular approach. Each session we will include at least one lecture from a young scientist/postdoctoral fellow/student to be chosen among attendees by the organizers.

Suggested preliminary schedule:

  • Day 1: Modeling and high throughput approaches to genome-wide analysis of protein-RNA interactions
  • Day 2: Predicting and designing new RNA binding proteins
  • Day 3: Generating and modeling RNA-based regulatory networks
  • Day 4: Principles of RNA regulation by RNA binding proteins
  • Day 5: Conclusion round table discussion on the present and future challenges of the field

The Information Universe Conference

Yesterday, via a notification from Lanyard, I came across a notice for the upcoming conference “The Information Universe” which hits several of the sweet spots for areas involving information theory, physics, the origin of life, complexity, computer science, and microbiology. It is scheduled to occur from October 7-9, 2015 at the Infoversum Theater in Groningen, The Netherlands.

I’ll let their site speak for itself below, but they already have an interesting line up of speakers including:

Keynote speakers

  • Erik Verlinde, Professor Theoretical Physics, University of Amsterdam, Netherlands
  • Alex Szalay, Alumni Centennial Professor of Astronomy, The Johns Hopkins University, USA
  • Gerard ‘t Hooft, Professor Theoretical Physics, University of Utrecht, Netherlands
  • Gregory Chaitin, Professor Mathematics and Computer Science, Federal University of Rio de Janeiro, Brasil
  • Charley Lineweaver, Professor Astronomy and Astrophysics, Australian National University, Australia
  • Lude Franke, Professor System Genetics, University Medical Center Groningen, Netherlands
Infoversum Theater, The Netherlands
Infoversum Theater, The Netherlands

Conference synopsis from their homepage:

The main ambition of this conference is to explore the question “What is the role of information in the physics of our Universe?”. This intellectual pursuit may have a key role in improving our understanding of the Universe at a time when we “build technology to acquire and manage Big Data”, “discover highly organized information systems in nature” and “attempt to solve outstanding issues on the role of information in physics”. The conference intends to address the “in vivo” (role of information in nature) and “in vitro” (theory and models) aspects of the Information Universe.

The discussions about the role of information will include the views and thoughts of several disciplines: astronomy, physics, computer science, mathematics, life sciences, quantum computing, and neuroscience. Different scientific communities hold various and sometimes distinct formulations of the role of information in the Universe indicating we still lack understanding of its intrinsic nature. During this conference we will try to identify the right questions, which may lead us towards an answer.

  • Is the universe one big information processing machine?
  • Is there a deeper layer in quantum mechanics?
  • Is the universe a hologram?
  • Is there a deeper physical description of the world based on information?
  • How close/far are we from solving the black hole information paradox?
  • What is the role of information in highly organized complex life systems?
  • The Big Data Universe and the Universe : are our numerical simulations and Big Data repositories (in vitro) different from real natural system (in vivo)?
  • Is this the road to understanding dark matter, dark energy?

The conference will be held in the new 260 seats planetarium theatre in Groningen, which provides an inspiring immersive 3D full dome display, e.g. numerical simulations of the formation of our Universe, and anything else our presenters wish to bring in. The digital planetarium setting will be used to visualize the theme with modern media.

The Information Universe Website

Additional details about the conference including the participants, program, venue, and registration can also be found at their website.

Videos from the NIMBioS Workshop on Information and Entropy in Biological Systems

Videos from the April 8-10, 2015, NIMBioS workshop on Information and Entropy in Biological Systems are slowly starting to appear on YouTube.

John Baez, one of the organizers of the workshop, is also going through them and adding some interesting background and links on his Azimuth blog as well for those who are looking for additional details and depth

Additonal resources from the Workshop:

 

https://www.youtube.com/playlist?list=PLRyq_4VPZ9g-3869ozbY_eEp6jZhWL0UE