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SCiO is molecular sensor that analyzes the molecular fingerprint of a homogeneous sample by scanning a diameter of about 20mm. Since pests may exist in one part of the plant/fruit/soil, and not in others, or too small even within the scanned diameter, SCiO may not be able to detect them.
SCiO uses NIR spectroscopy.
It can analyze concentration of components of a homogeneous mixture as long as the corresponding model was developed and exists in the database. Obviously not all concentration levels can be scanned as part of the model creation process, but a wide enough range of concentration levels across components has to be scanned in order to enable our algorithms to create an effective model.
Hope that answers your question.
First, please note that SCiO is NOT a medical device and should not be relied upon for medical conditions.
Since SCiO is designed to measure small portions of a sample at a time, it cannot guarantee the absence of specific molecules in your entire serving.
We are using standard chemometric analysis tools that are optimized for SCiO.
We are also working on new analysis methods that will be available as part of SCiO Lab with time.
Most of these compounds are aromatic compounds in concentration of ppm and less.
You will be able to use SCiO to classify different brands of beer but not according to aroma/volatile compounds which are better suited for gas chromatography tests.
Please feel free to reach out to us with any questions you may have regarding SCiO and the opportunities with beer.
If I understand your question correctly, you are looking to use SCiO with a telescope. Unfortunately, attaching SCiO to a telescope to scan stars will not be feasible with SCiO. While we have not tested these thoroughly, we believe that SCiO’s NIR spectroscopy technology is most likely not suitable for this use.
SCiOs scanning distance is up to about 5-15 mm (“0.2-0.68”) from the sample and illuminates a 20mm (“0.8) diameter spot.
Are you primarily interested in the K2O/SiO2 ratio?
This may be feasible if you have access to a range of concentrations to form an estimation model.
Please feel free to reach out to us dev@consumerphysics.com with any related questions you may have on this and we will be happy to advise if we can.
If A is detectable by SCiO in the presence of CDE, and B is correlated with A, then B should also be detectable by SCiO.
SCiO’s algorithms do not use any information other than the spectra and the reference data, if there’s correlation between the reference data and the processed spectra – the algorithms should be able to find it.
Please feel free to reach out to us at dev@consumerphysics.com if you have specific questions about your experiment and we’ll be happy to advise if we can.
George, we’d love to better understand what exactly you are looking to do with SCiO and share any relevant results. Please feel free to reach out to dev@consumerphysics.com with more info. We can also try to coordinate a short chat on the phone.
Currently SCiO only works via the phone and the SCiO phone app.
Sounds intriguing. Please contact dev@consumerphysics.com if you have any other questions. We’d also be happy to have a quick chat on the phone if more convenient.
Generally speaking, SCiO detects materials in concentrations of 1% or higher. While SCiO can do better in some cases, the typical concentrations of pesticide residue are much smaller than 1%. Therefore, SCiO does not support the detection of pesticide residue at this time.
The spectral range is 700-1100nm.
Resolution is a bit less relevant in SCiO’s case. Please feel free to contact us at dev@consumerphysics.com and tell us more about your intended application. That way we can provide you with more specific feedback regarding the relevant capabilities.
Generally speaking, the net DNA difference between GMO and non-GMO is very small – changing a few genes out of 1000s.
Labs typically test for very specific gene alterations. Something that cannot be done with SCiO.
That said, SCiO may detect GMO if it alters certain attributes of the sample – for example, much more sugar, or a thicker peel, etc. – i.e. changes that are noticeable with NIR.
