Julia Somerdin • June 11, 2020
Digital technologies in animal health: focus on the dairy industry (Part 1)


For someone who has a background in materials physics, working with exotic materials has been a fun and exciting experience. I have worked with plastics that conduct electricity, can emit light (in LEDs), and even transform solar energy to useful electrical energy. Virtually no technology would exist today, if not for advances in materials science and engineering.


In the broad spectrum of fascinating materials, biomaterials and materials that our body makes, like blood and milk, have a special place. These are extremely complex materials that only our (or animals) bodies can make. For instance, we still drink milk from cows, goats, and buffaloes, we donate blood to save lives, and we extract stem cells from bone marrows. The sheer complexity of some materials does not allow us to easily re-engineer them. Milk is one such amazing material.


Composition of milk


Milk is a rich material from a composition perspective, containing fat, proteins, lactose, water and minerals. Complexity of milk as a material arises from the manner in which many of the components exist in it. For instance, fat exists as globules in an oil/water emulsion. The size of these globules is about 1–10 microns and can be seen under an optical microscope. Cow’s milk typically has 3–6% of fat. Some breeds like the holstein (the one with black and white patches) produce lower fat (3–4%), whereas other breeds like the jersey (smaller brown ones) produce higher fat (5%). The amount of fat also varies with the type of animal. Buffaloes, for instance, produce milk with about 8% fat. There are several types of proteins in milk including casein (majority) and whey proteins. Casein exists in a colloidal form with micelles in the 10–100 nm range, which can be seen under an electron microscope. Since the size of protein micelles and fat globules is comparable to the wavelengths of visible light, they act as scatterers. Scattering by fat globules in relative wavelength independent, so we see that thick, white, opaque feature of milk. Scattering by protein micelles is governed by the Tyndall effect, where blue light is scattered more than red. This explains why skim milk (0% fat, only protein) has a slight bluish tinge (also our iris looks blue due to the same reason!). In addition to fat and protein, milk contains lactose (sugar) that is found completely dissolved as a true solution. As you can see, this is a complex mix of many organic molecules organized across various sizes. And this is a simplified picture of what milk contains. There are minerals, vitamins A, D,K, riboflavin and who bunch of other molecules in milk! Isn’t that amazing!



Typical composition of cow’s milk


Composition of Raw milk


Milk that we buy in a grocery store is generally standardized (maintain same composition), homogenized (so that fat doesn’t separate) and pasteurized (to remove pathogens). However, fresh raw milk has a different composition. One major difference between raw and processed milk relates to the presence of somatic cells in raw milk. Somatic cells are typically white blood cells (leukocytes) that can be found in milk that is freshly obtained from a cow. Apart from somatic cells, raw milk can have bacteria and other microbes, and antibiotic residues if the cow is being treated.




Composition of raw milk


Quality of milk

Milk quality plays an important role not only for consumers but for farmers, as it determines how much they get paid. Generally, the amount of fat, protein and somatic cell counts (SCC, expressed in cells/ml), and total volume go into payment evaluation. Beyond quality, safety is also determined based on bacterial counts and antibiotic residues. Farmers typically have to maintain best practices in terms of cleanliness and feed, to maximize revenues from the milk they are selling.


Milk quality as an indicator of animal health

One way to maximize the efficiency of farm operations is to look at the quality of milk being produced at an individual cow level and also at the herd level. SCC is a powerful indicator of infections such as mastitis that affect the udder. Since somatic cells are predominantly white blood cells that fight infections, a high SCC can indicate infections. In many cases, the infection could be at a sub-clinical stage without symptoms. SCC in these scenarios provides vital feedback to farmers regarding the health of the cows. SCC under 200,000 cells/ml is generally acceptable, but a value of above 400,000 cells/ml could be an indicator of mastitis. Higher numbers are bad and in most cases do indicate infections. So farmers try to keep this as low as possible. Fat-protein ratio is also a useful indicator of ketosis, a metabolic disorder. Hence, determining the quality of milk on an individual level is of vital importance to identify cows that need intervention or treatment.


Today, there are technologies emerging that can assess the milk quality from individual cows on the farm, observe trends, and use data-centric approaches to predict failures. As farms grow in size with larger herds, there is a need for more technology, be it smart collars or activity monitors, farm-level milk analyzers, among others, that can help farmers run operations smoothly with limited labor and maximize productivity. 

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