Hydra for Laboratory analyzes a fruit juice doped with sugar

Are we able to understand whether there is some added some sugar to a sample of fruit juice? If we are using a sensitive device Hydra for laboratory we are sure we can do it. You don’t think it is possible? We will show you.
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Hydra for laboratory - Caronte Consulting

What is Hydra for laboratory?

Hydra for Laboratory is an innovative UV-VIS spectrometer designed for the food industry. With Hydra For Laboratory it is possible to analyze raw materials, semi-finished products, waste and finished product to deduct the hygienic and organoleptic characteristics of the product.It has a very high sensitivity: it manages to identify very small variations in the UV-VIS spectrum, determining the type of variation: from the incidence of the machines in the production process to the presence of pollutants, allergens or doping.The software allows to determine the spectral differences in multiple color spaces (CIE XYZ, CIE Lab, Hunter Lab, CIE Luv, CMYK, HSL, etc.), indices of divergence between spectral curves and colorimetric distance calculations (CIE76, CIE94, CIEDE2000, etc.). Communication between Hydra and the PC is via a comfortable WiFi connection (IEEE 802.11 b/g/n/a-c), therefore, it can be strategically placed anywhere. 

Caronte Space Color

The UV-VIS spectrum is composed of thousands of points and is very intricate: interpreting it and understanding which frequencies are the most important variations to consider can be a serious problem.Hydra for laboratory’s software offers the possibility to examine the graph CSC (Caronte Space Color): in this chart, you can see the frequencies where the main differences between the various samples are concentrated.CSC is an index, therefore, that intuitively represents the differences between the various samples examined and is the result of continuous experiments that Caronte Consulting has conducted together with its customers, identifying with them the best way to make the operator understand how to correctly interpret the spectral differences.

The experiment

Hydra for laboratory is an enormously sensitive device, able to identify the even minimum alteration inside a finished product or raw material. For this reason, we made an experiment that could show all its abilities.

The experiment consists in analyzing and subsequently drug a sample of juice with 1 gram of sugar, in order to identify the differences between the spectrum of the two samples, before and after the addition of the sugar.

In a Petri dish, we poured 37,2 ml of generic juice; afterwards, we made a first analysis and determined its UV-VIS spectrum, fundamental to achive the comparison. You can see this spectrum in Figure 1 and 2.

We have then added 1 gram of sugar, we have accurately mixed and we re-anallyzed the spectrum of the doped juice, comparing it with the initial spectrum.

The results

Hydra’s high sensitivity to changes in the spectrum allows us to identify the differences between the two samples: the initial one containing the juice, and the final one, doped with 1 gram of sugar. Now let’s calculate in what percentage the added sugar is present in the juice:

Vtotal = (1 gr + 37,2 ml) = 38,2 ml Vsugar = [1 gr * 100] / 38,2 ml ≈ 2,6%

The presence of sugar is about 2,6% of the total volume: a small quantity of product hard to identify, not for Hydra for Laboratory.

The CSC index in Figure 2 shows the differences of the spectra of the sample before and after the addition of the sugar, helping the operator to immediately understand at what frequencies the variations correspond.
Juice spectrum comparison - Caronte Consulting
Figure 1. Spectral differences between the samples
Juice Caronte Space Color - Caronte Consulting
Figure 2. CSC index showing at what frequencies the major differences of the samples are located
Hydra for laboratory logo

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Caronte Consulting designs and realizes hardware and software systems for Industry 4.0, equipped with sophisticated and effective Artificial Intelligence.Our devices are tailor-made to the customer’s needs and allow for the complete automation of industrial processes, optimizing production and creating savings in raw materials and energy consumption.

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