ANALYSIS ON PASTA
Chemical analysis
Benzoic and sorbic acids |
Total acidity |
Acrylamide |
Damaged starch |
Starch |
Water activity -Aw |
Total carotenoids |
Cellulose |
Ash |
Ash (detracted NACL) |
Ash insoluble in HCl |
Chlorides |
Cholesterol |
Xanthophyll pigments |
Sugar composition |
Falling Number |
Farinogram of Brabender |
Dietetic fiber |
Dry gluten |
Soft grain |
Granulometry |
Fats |
Nitrates |
PH |
Proteins |
Total sterols |
Humidity |
Hexanal |
Amino acids |
Chopin alveogram |
Research of number of eggs |
Humidity |
L-lactic acid |
Succinic acid |
3-hydroxybutyric acid |
Proximate analysis
Humidity |
Proteins |
Fats |
Carbohydrates |
Energetic value |
Ash |
Proximate analysis with fiber
Humidity |
Proteins |
Fats |
Dietetic fiber |
Carbohydrates |
Energetic value |
Ash |
Extrended proximate analysis
Humidity |
Proteins |
Fats |
Carbohydrates |
Dietetic fiber |
Energetic value |
Sodium |
Ash |
Proximate analysis - America
Humidity |
Energetic value |
Proteins |
Fats |
Saturated fats |
Trans fats |
Cholesterol |
Carbohydrates |
Dietetic fiber |
Sugars composition |
VitaminC |
Vitamin A and provitamins A |
Calcium |
Iron |
Sodium |
Ash |
Vitamins
Vitamin B6 |
Vitamin B2 |
Vitamin B12 |
Vitamin B1 |
Vitamin PP |
Vitamin A and provitamins A |
Vitamin D3 |
Vitamin E |
Metals
Selenium |
Lead |
Cadmium |
Alluminium |
Zinc |
Arsenic |
Bismuth |
Calcium |
Cobalt |
Chromium |
Iron |
Phosphorus |
Magnesium |
Manganese |
Molybdenum |
Nickel |
Potassium |
Copper |
Sodium |
Mercuri |
Characterization of fat R.M. and fat components
| Acidita` totale |
| Numero di perossidi |
| Saggio di rancidità ( Kreiss) |
| N° p-Anisidina |
| TOTOX |
| Composizione acidica |
| Composizione acidica cis/trans |
| Composizione acidica omega |
| Composizione dei trigliceridi |
| Composizione sterolica |
The analysis for detection of contaminants, residual molecules, the analysis of hygienic or product characterization suggested are not exhaustive. They are a simplification of analytical activities of Chelab laboratory. The analytical models are adjusted case by case in order to achieve the best possible objective, and depend both by the customer’s needs and by the expected requisites.