Testing your own lactate: what a meter tells you that power can't
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A portable lactate analyser costs less than a mid-range power meter and comes with a box of strips, a lancing device and a strong sense that you are now doing this properly. It also comes with a large number of ways to generate confident, precise, wrong answers.
This post is about the practice rather than the theory. If you want to know what LT1 and LT2 are and how the domains between them behave, lactate threshold explained covers that ground. What follows is the part nobody explains: how to design a step test that is worth the fingers, where the error actually comes from, and whether a rider who already owns a power meter has any business buying a meter at all.
What the analyser is measuring
A portable lactate meter is an enzymatic electrochemical device. A drop of whole capillary blood — typically under a microlitre — goes onto a strip containing lactate oxidase. The reaction produces a current proportional to lactate concentration, and the meter reports it in millimoles per litre, usually in under a minute.
Two things follow from that. First, it is a real measurement of a real variable, not an estimate: there is no model between you and the number in the way that FTP or Critical Power sit behind a model. Second, it is a measurement of concentration in blood at a fingertip, which is downstream of the muscle producing and consuming the lactate in question. That gap is where most of the interpretive trouble lives.
The meters themselves vary. When three widely used portable analysers were evaluated against a laboratory reference, they differed in both systematic bias and reproducibility, and they differed from each other. The practical rule is unglamorous: your meter measures your trend. Do not compare its numbers with a training partner's different model, and do not compare them with the figures in a paper.
Stage length decides your answer
This is the part that surprises people, and it is the reason a lot of home testing produces numbers that drift for no physiological reason.
Blood lactate lags what is happening in the muscle. At a new, higher workload, muscle lactate rises quickly, but the appearance and clearance in blood take several minutes to find a steady value. Sample after three minutes and the blood has not caught up: every point reads low, and the curve therefore appears to inflect at a higher power. Sample after eight minutes and the values are closer to the steady state, and the inflection sits lower.
Stylised. The curves are drawn from one exponential with the inflection shifted, not from measured data. The direction and the rough magnitude are supported: studies that deliberately manipulated stage duration and increment size found the derived threshold changed substantially, which is why a protocol you cannot reproduce is worse than no protocol.
Nothing about that shift is physiological. The rider did not change. Only the protocol did. This is also why a threshold quoted without its protocol is close to meaningless, and why the single most valuable habit in home testing is writing the protocol down and never touching it again.
A protocol you can repeat
The following is a conventional incremental step test, biased towards reproducibility rather than laboratory elegance. Warm up for fifteen minutes at an easy intensity before stage one, and take a resting sample before you start.
Stage length
5 or 8 minutes
Pick one and never change it. Shorter stages produce a higher apparent threshold; longer stages a lower one. This single choice moves the answer more than anything else you control.
Starting power
≈ 50–55% of FTP
Low enough that the first two stages are genuinely below LT1. If your curve has no flat section at the start, you began too high and have no baseline to measure the first rise against.
Increment
20–25 W per stage
Smaller increments give a better-resolved curve but a longer test and more strips. Larger increments save strips and blur the inflections you came for.
Number of stages
6–9
You need at least three points clearly below the first threshold and three clearly above the second, or curve-fitting methods have nothing to work with.
Sample timing
Final 30 seconds of each stage
Consistency matters more than the exact moment. Sampling at 4:30 in one test and 5:30 in the next introduces error you will mistake for fitness.
Cadence
Fixed, self-selected
Cadence changes the muscle-fibre recruitment pattern and therefore the lactate response at a given power. Hold the same cadence across every stage and every re-test.
Sampling site
Earlobe or fingertip — always the same one
The two sites do not give identical values. Neither is wrong; mixing them within a series is.
Reading the two lines
LT1 is the first departure from baseline — the point where lactate begins to climb out of the flat resting region. Common working definitions are the first stage where the value rises 0.3–0.5 mmol/L above the lowest reading, or the break point in a log–log plot. For an endurance cyclist this is the more useful of the two lines, because it marks the top of the intensity you can accumulate hours at, and because power and heart rate proxy it poorly.
LT2 is the upper boundary, intended to approximate the maximal lactate steady state. Here the honest position is that there is no consensus method. Reviews of threshold concepts have catalogued more than twenty published definitions, and the fixed 4 mmol/L convention — visible as the dashed line in the diagram — is a group average that fits a substantial proportion of individuals badly. Curve-fitting approaches such as modified Dmax are more defensible, but they are more sensitive to how many stages you ran and where they were placed.
If you are going to use one number to set zones, use the same definition every time and treat the absolute value with suspicion. The change between tests is the signal. The number itself is a convention.
Where the error comes from
Sweat contains lactate. A drop of blood taken through a film of sweat can read substantially high, and it does so unpredictably — which is worse than a consistent bias. Dry the site thoroughly, wipe away the first drop, and sample the second.
Glycogen depletion shifts the lactate curve to the right: less substrate, less lactate at any given power, and an apparent threshold that looks better than it is. Testing after a low-carbohydrate day or a fasted morning will flatter you.
Blood lactate lags muscle lactate. With three-minute stages the blood has not caught up, so every point sits low and the inflection appears at a higher power. Manipulating test variables has been shown to change the derived threshold materially.
Portable meters differ from laboratory analysers and from each other in both bias and precision. They are good enough to track yourself over time and not good enough to compare with somebody else's numbers, or with a lab value quoted in a study.
Hard training, poor sleep, heat, altitude and dehydration all move the curve. A test performed on tired legs is not a bad test, it is a test of a different rider.
Caffeine and pre-test carbohydrate both alter the lactate response. You do not need to eliminate them — you need to standardise them, and write down what you did so the next test can copy it.
The glycogen one deserves emphasis because it points the wrong way. Turn up depleted and your curve shifts right, your apparent threshold rises, and you conclude the block worked. This has been known since the early 1980s, when work on glycogen depletion showed the lactate response to incremental exercise moving without any change in fitness. If you test after three days of low carbohydrate availability, you have measured your diet.
Re-testing so the comparison means something
Everything that made the first test what it was has to be copied. Same time of day, same breakfast, same caffeine, same warm-up, same trainer, same fan, same cadence, same stage length, same increment, same sampling site, same meter, and ideally the same box of strips. Keep a card with all of it written down and read it before every test.
Then re-test infrequently. Six to eight weeks is a sensible interval: long enough for a real change to exceed the noise, short enough to catch a block that is not working. Testing monthly mostly measures how well you controlled the conditions.
Does a rider with a power meter need one?
For most riders, no. The blunt case against is this: you will use the result to set zone boundaries, and your zone boundaries need to be right to perhaps ±5%, which a well-executed field test already achieves. Spending £150 and a finger every eight weeks to refine a number to a precision you cannot act on is not a good trade. How to test and raise your FTP and how many training zones you actually need between them cover what most people are trying to get out of a meter.
There are genuine exceptions. The first is LT1. Power-based methods estimate the upper threshold reasonably and the lower one poorly, and if your training distribution depends on knowing where the aerobic threshold sits — as it does for anyone taking polarised or pyramidal training literally — then a lactate curve tells you something a 20-minute test genuinely cannot. The second is diagnosis: a rider whose performance and power numbers disagree, or who suspects they are riding their easy days too hard, gets a clear answer in one afternoon. The third is coaching several riders, where the cost per athlete falls and the protocol control improves.
If you do go without, the thing to replace it with is not a single number but a curve from your own riding. Moveee's power profile fits your best efforts across durations, which gives you the upper boundary from data you have already collected — and the diagnostic that costs nothing is aerobic decoupling, which tells you whether a long ride was genuinely below your aerobic threshold without a single drop of blood.
The meter is not a status object and it is not a shortcut. It is a good instrument attached to a demanding protocol, and the protocol is where almost all the value and almost all the error live. If you are not going to run it the same way every time, the honest answer is to keep the money and ride.
Sources 9
Where this article summarises a study, the study itself is linked — not a write-up of it.
- 1 Faude O, Kindermann W, Meyer T Lactate Threshold Concepts: How Valid are They? · Sports Medicine · 2009
- 2 Jamnick NA, Botella J, Pyne DB, Bishop DJ Manipulating graded exercise test variables affects the validity of the lactate threshold and VO2peak · PLOS ONE · 2018
- 3 Jamnick NA, Pettitt RW, Granata C, Pyne DB, Bishop DJ An Examination and Critique of Current Methods to Determine Exercise Intensity · Sports Medicine · 2020
- 4 Bourdon PC, Woolford SM, Buckley JD Effects of Varying the Step Duration on the Determination of Lactate Thresholds in Elite Rowers · International Journal of Sports Physiology and Performance · 2018
- 5 Bentley DJ, Newell J, Bishop D Incremental Exercise Test Design and Analysis: Implications for Performance Diagnostics in Endurance Athletes · Sports Medicine · 2007
- 6 Beneke R, Leithäuser RM, Ochentel O Blood Lactate Diagnostics in Exercise Testing and Training · International Journal of Sports Physiology and Performance · 2011
- 7 Tanner RK, Fuller KL, Ross MLR Evaluation of three portable blood lactate analysers: Lactate Pro, Lactate Scout and Lactate Plus · European Journal of Applied Physiology · 2010
- 8 Hughes EF, Turner SC, Brooks GA Effects of glycogen depletion and pedaling speed on "anaerobic threshold" · Journal of Applied Physiology · 1982
- 9 Yeh MP, Gardner RM, Adams TD, Yanowitz FG, Crapo RO "Anaerobic threshold": problems of determination and validation · Journal of Applied Physiology · 1983
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