Rahz
Well-Known Member
These tests were conducted with Citizen 1825s but results should be similar for other brands with similar SPDs. The SQ-520 was used for measurements, and while it's the best low cost solution at the moment there's still a difference between the reading and the reality. Those differences were not factored in for this test but it should still provide a good idea of the differences in output based on phosphor coating, and hopefully an idea of how plants will react to particular spectrums within the test range based on the Mcree data.
4 chips were placed in a 12" square and placed approximately 18 inches from the sensor. Total system wattage was identical through all results.
Preliminary PAR test results
3000K70CRI 950
3500K80CRI 921
3000K80CRI 905
3000K90CRI 856
2700K90CRI 780
The 3000K 70CRI chips are putting out the highest PAR numbers, followed closely by 3500/80. At the bottom of the list we have 2700K emitting substantially less photons than the winner.
But if the Mcree curve describes the absorption chance of a photon at a specific frequency we can weigh the results and hopefully get a more accurate gauge of the chips photosynthetic potential. The following information is based on an interpretation of the Mcree chart. In that study there were 6-7 test samples that had roughly the same shape with minor and symmetrical variations. The rest of the samples were thrown out. The SPDs of each K/CRI combination were digitized along with the Mcree data. Each 5nm range is given a percentage of total output value which is multiplied by the Mcree data(percentage change for absorption of a photon). The average absorption rate of each spectrum is multiplied by the par reading to get what hopefully will be the total PAR absorption for the spectrums.
Conversion factors for plant response from 400-700nm. These numbers represent the absorption rate of each spectrum.
3000K/70CRI 78.034
3000K/80CRI 78.229
3500K/80CRI 76.566
2700K/90CRI 80.460
3000K/90CRI 78.355
2700K/90CRI has the best chance of being absorbed by the plants which was expected, but surprisingly the rest aren't far behind and 3500K/80CRI is coming in last.
Here are the Par values multiplied by the conversion factor.
3000K/70CRI 741
3000K/80CRI 708
3500K/80CRI 705
2700K/90CRI 627
3000K/90CRI 670
In this final result we see the 3000K/70CRI sample staying in the lead. Could it be that 3000K/70CRI produces the most photosynthesis?
Observations: In removing several Mcree test subjects as anomalies the slight hump in blue was subdued. Had I used a more comprehensive average the 3500K/80CRI and 3000K/90CRI would show slight gains but I wouldn't guess they would match the winning figure. I may go back and use new values with a more strict interpretation of the Mcree curve to find out how much of an effect it would have. Regardless of that issue 2700K/90CRI it seems is the loser who's superior spectrum just can't make up for the phosphor induced output deficiency... but it must also be considered that the sensor is placing a penalty on the high CRI samples, both 2700 and 3000K. Anyway, results were surprising to me, both spectrum absorption rates and final results. Does the methodology make sense? And thoughts or criticisms?
4 chips were placed in a 12" square and placed approximately 18 inches from the sensor. Total system wattage was identical through all results.
Preliminary PAR test results
3000K70CRI 950
3500K80CRI 921
3000K80CRI 905
3000K90CRI 856
2700K90CRI 780
The 3000K 70CRI chips are putting out the highest PAR numbers, followed closely by 3500/80. At the bottom of the list we have 2700K emitting substantially less photons than the winner.
But if the Mcree curve describes the absorption chance of a photon at a specific frequency we can weigh the results and hopefully get a more accurate gauge of the chips photosynthetic potential. The following information is based on an interpretation of the Mcree chart. In that study there were 6-7 test samples that had roughly the same shape with minor and symmetrical variations. The rest of the samples were thrown out. The SPDs of each K/CRI combination were digitized along with the Mcree data. Each 5nm range is given a percentage of total output value which is multiplied by the Mcree data(percentage change for absorption of a photon). The average absorption rate of each spectrum is multiplied by the par reading to get what hopefully will be the total PAR absorption for the spectrums.
Conversion factors for plant response from 400-700nm. These numbers represent the absorption rate of each spectrum.
3000K/70CRI 78.034
3000K/80CRI 78.229
3500K/80CRI 76.566
2700K/90CRI 80.460
3000K/90CRI 78.355
2700K/90CRI has the best chance of being absorbed by the plants which was expected, but surprisingly the rest aren't far behind and 3500K/80CRI is coming in last.
Here are the Par values multiplied by the conversion factor.
3000K/70CRI 741
3000K/80CRI 708
3500K/80CRI 705
2700K/90CRI 627
3000K/90CRI 670
In this final result we see the 3000K/70CRI sample staying in the lead. Could it be that 3000K/70CRI produces the most photosynthesis?
Observations: In removing several Mcree test subjects as anomalies the slight hump in blue was subdued. Had I used a more comprehensive average the 3500K/80CRI and 3000K/90CRI would show slight gains but I wouldn't guess they would match the winning figure. I may go back and use new values with a more strict interpretation of the Mcree curve to find out how much of an effect it would have. Regardless of that issue 2700K/90CRI it seems is the loser who's superior spectrum just can't make up for the phosphor induced output deficiency... but it must also be considered that the sensor is placing a penalty on the high CRI samples, both 2700 and 3000K. Anyway, results were surprising to me, both spectrum absorption rates and final results. Does the methodology make sense? And thoughts or criticisms?
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