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Refrigerated and frozen foods have become an important part of people's daily diet. Due to management and technology, there are still some deficiencies in the food cold chain (including procurement, processing, storage, transportation, etc.). Its sensory quality and nutritional value various aspects such as hygiene and safety will be affected to various degrees. Therefore, it is very important to monitor the food quality in circulation. The factors that cause food deterioration mainly include the effects of microorganisms, enzymes, respiration, oxidation, mechanical damage, and the external environment such as light, temperature fluctuation, and humidity. Although the decrease in temperature can delay and weaken the activity of microorganisms and enzymes, it cannot completely suppress their effects. Therefore, after long-term storage, the quality of food will always decline. Alfa Chemistry offers a strong array of capabilities and testing services to the refrigerated and frozen food industry. From authenticity testing to microbiology, Alfa Chemistry provides incredible service and credible results. Alfa Chemistry is your one-stop-shop laboratory performing all of your refrigerated and frozen food analysis.
Services | Testing Items |
---|---|
Microbiology | Microbiology; Aerobic Plate Count; Enterobacteriaceae; E.coli; Lactic Acid Bacteria; Listeria species and monocytogenes; Spore-forming bacteria |
Nutrition | NLEA compliant nutrition packages; Vitamins; Minerals; Proximate Analysis; Sugar Profile; Fatty Acid Profile |
Ingredient Verification | Allergen analysis; GMO Testing; Food Fraud Services |
Product Stability | Shelf-Life Studies; Microbial challenge studies; Water Activity |
Contaminants and Residues | Foreign Material Identification; Mycotoxins; Pesticide Residue; Processing Residues |
Infrared Analysis Equipment
Infrared analysis equipment is an instrument suitable for food component analysis, widely used in the raw material analysis, quality control, and food safety testing of frozen foods. Its working principle utilizes infrared radiation to cause resonance absorption in substances, exciting molecular vibrations that emit radiation, allowing for the analysis of the properties and composition of the tested material. It is suitable for rapid detection of various components such as fats, proteins, and starch.
Electronic Nose
The electronic nose is a detection instrument based on gas sensing technology, suitable for detecting odors and taste quality. It employs a detection system composed of multiple sensors, capable of quickly detecting hundreds of odor molecules. The data is processed by a computer to quantitatively assess the quality of food odors and accurately determine whether the food has spoiled, making it a rapid and efficient testing method.
High-Performance Liquid Chromatograph (HPLC)
The high-performance liquid chromatograph (HPLC) is an instrument for separating and analyzing chemical substances, suitable for detecting residues, additives, and other chemical components in frozen foods. It separates mixtures into their constituent parts using high-pressure liquid mobile phases, followed by detection and analysis. In the detection of prohibited substances in frozen foods, HPLC can identify chemical components, playing an important role in ensuring the quality and safety of frozen foods.
Food Probe
The food probe is an instrument used to measure the internal temperature and humidity of frozen foods. It collects data through sensors to measure indicators such as internal temperature, humidity, pressure, and pH, helping to detect spoilage and contamination, thereby enhancing the quality and safety of frozen foods.
Jiang, Qiyong, et al. Journal of food engineering 343 (2023): 111374.
Freezing is an effective method for achieving long-term food storage and providing fresh products year-round. The quality of frozen foods needs to be assessed based on multiple indicators to determine whether such products are suitable for frozen storage. Moisture content and texture are essential indicators of frozen food quality.
Nondestructive testing of frozen food quality is of significant importance. A model food was developed as the test material for this study. Different modeling methods were employed to establish the relationship between the near-infrared (NIR) spectra of frozen samples and quality indicators such as drip loss, texture parameters (including hardness, chewiness, stickiness, and gel strength).
Principal Component Analysis (PCA) and Hierarchical Cluster Analysis (HCA) results indicated that the collected near-infrared spectra of model foods prepared with varying moisture contents exhibited good discrimination. The modeling results showed that Principal Component Regression (PCR), Support Vector Machine Regression (SVR), Partial Least Squares Regression (PLSR), and Backpropagation Artificial Neural Network (BP-ANN) algorithms could all be used to predict the quality indicators of frozen samples. In comparison, the BP-ANN modeling method performed best, yielding a higher R2 and lower Root Mean Square Error (RMSE).
FDA
General enforcement regulations
Foods, food additives, and color additives
Color additives
Listing of color additives exempt from certification
Listing of color additives subject to certification
Specification and restrictions for provisional...
Labeling of spices, flavorings, colorings and...
"Fresh," "freshly frozen," "fresh frozen," "frozen fresh."
Food additives proposed for use in foods
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