Food industry quality control

Photoelectric-Colorimetric Method. Although the recording spectrophotometer is, for food work at least, a research tool, another instrument, the Hunter multipurpose reflectometer (4), is available and may prove to be applicable to industrial quality control. (The newer Hunter color and color difference meter which eliminates considerable calculation will probably be even more directly applicable. Another make of reflection meter has recently been made available commercially that uses filters similar to those developed by Hunter and can be used to obtain a similar type of data.) This instrument is not a spectrophotometer, for it does not primarily measure the variation of any property of samples with respect to wave length, but certain colorimetric indexes are calculated from separate readings with amber, blue, and green filters, designated A, B, and G, respectively. The most useful indexes in food color work obtainable with this type of instrument have been G, which gives a... 

Quality control is usually thought of in terms of control during production, and in some industries this may be all that is required. In the food industry such control must extend into the channels of distribution. The highly perishable nature of frozen foods makes this phase extremely important. It deserves a great deal more emphasis than it has received in the past. 

The determination of amino acids in various samples is a usual task in many research, industrial, quality control, and service laboratories. Hence, there is a substantial interest in the high-performance liquid chromatography (HPLC) analysis of amino acids from many diverse areas like biochemistry, biotechnology, food quality control, diagnostic services, neuro-chemis-... 

On-site analysis is in demand for many areas of work including industrial quality control, agricultural and environmental studies, food analysis, and health care. All these areas of applications may require multianalyte detection and determinations. The high-throughput feature of FIA systems has shown to be very welcome in all these fields. 

The term quality control has been widely and loosely employed in the frozen food industry. In the dynamic sense it means the application and control of those techniques of raw material selection, handling, processing, warehousing, and distribution which are known to be required for the production and maintenance of a given level of product quality and condition. 

A broader outline of the scope and extent of the problems connected with quality control in the frozen food industry is given in two excellent papers by Diehl (9,10). 

Because the quality and health aspects of foods cannot be measured by a single index, it necessarily follows that the subject of control methods in the canned food industry is very broad, and includes chemical, physical, organoleptic, and bacteriological tests, only the first of which is discussed here. The measurement of color, odor, optical clarity, texture, viscosity, and chemical composition has been used to evaluate canned foods, but in many cases the methods that are applicable to one product are either not applicable to another, or can be used only after considerable modification. 

Control laboratories in the canned food industry are usually divorced from the research organization to a lesser degree than is the case in the chemical and allied industries. For this reason, a closer relationship exists between the problems of the control laboratory and the research laboratory. Although from a research standpoint this condition is often considered undesirable, it has considerable merit in the case of the canned food industry, in which production may be seasonal and often of rather short duration. The collection of control data in many instances may also serve for research purposes—for example, in the case of soil analyses, which may be correlated with agricultural research designed to improve crop yields. Because the variables which affect the quality of canned foods must usually be investigated rather extensively, and often over a period of more than one year, the application of statistical methods to data collected for control purposes can conceivably make a substantial contribution to a research program. 

A common laboratory technique for determining the concentration of a solute is titration (Fig. L.2). Titrations are usually either acid-base titrations, in which an acid reacts with a base, or redox titrations, in which the reaction is between a reducing agent and an oxidizing agent. Titrations are widely used to monitor water purity and blood composition and for quality control in the food industry. 

Quality Control Records. Accurate quality control records are of utmost importance and may be required by law, as in the pharmaceutical industry. A few years ago, mandatory Good Manufacturing Practices were proposed for the cosmetic industry. Although the proposal was later dropped, many manufacturers go by the rules worked out at that time for laboratory testing and record keeping. The food industry also requires extensive testing and record keeping. 

Antioxidants are not important only to the health conscious food manufacturers also rely on these chemicals to maintain the shelf life of their products. Synthetic antioxidants such as butylated hydroxyanisole, butylated hydroxytoluene, propyl gallate and tert-butyl hydroquinone were widely used in food processing to control oxidation and maintain food quality. However, as these synthetic antioxidants are suspected to be carcinogenic they now have restricted use in food (Madahavi and Salunkhe, 1995). Therefore, natural antioxidant sources, especially of plant origin, are of great interest to the food industry. 

In agribusiness and the food industry, management of quality is often assumed to be a rather controllable process. This may be illustrated by the great attention paid to the development and implementation of quality systems in the past decade. These quality systems are commonly based on procedures and control circles as mechanisms to control and assure quality. After implementation, however, it often appears in practice that the intended results are not obtained and exact reasons are not clear. ... 

The determination and analysis of sensory properties plays an important role in the development of new consumer products. Particularly in the food industry sensory analysis has become an indispensable tool in research, development, marketing and quality control. The discipline of sensory analysis covers a wide spectrum of subjects physiology of sensory perception, psychology of human behaviour, flavour chemistry, physics of emulsion break-up and flavour release, testing methodology, consumer research, statistical data analysis. Not all of these aspects are of direct interest for the chemometrician. In this chapter we will cover a few topics in the analysis of sensory data. General introductory books are e.g. Refs. [1-3]. 

NMR spectroscopy is one of the most widely used analytical tools for the study of molecular structure and dynamics. Spin relaxation and diffusion have been used to characterize protein dynamics [1, 2], polymer systems[3, 4], porous media [5-8], and heterogeneous fluids such as crude oils [9-12]. There has been a growing body of work to extend NMR to other areas of applications, such as material science [13] and the petroleum industry [11, 14—16]. NMR and MRI have been used extensively for research in food science and in production quality control [17-20]. For example, NMR is used to determine moisture content and solid fat fraction [20]. Multi-component analysis techniques, such as chemometrics as used by Brown et al. [21], are often employed to distinguish the components, e.g., oil and water. 

Food products can generally be considered as a mixture of many components. For example, milk, cream and cheeses are primarily a mixture of water, fat globules and macromolecules. The concentrations of the components are important parameters in the food industry for the control of production processes, quality assurance and the development of new products. NMR has been used extensively to quantify the amount of each component, and also their states [59, 60]. For example, lipid crystallization has been studied in model systems and in actual food systems [61, 62]. Callaghan et al. [63] have shown that the fat in Cheddar cheese was diffusion-restricted and was most probably associated with small droplets. Many pioneering applications of NMR and MRI in food science and processing have been reviewed in Refs. [19, 20, 59]. 

The original applications of NIR were in the food and agricultural industries where the routine determination of the moisture content of foodstuffs, the protein content of grain and the fat content of edible oils and meats at the 1% level and above are typical examples. The range of industries now using the technique is much wider and includes pharmaceutical, polymer, adhesives and textile companies. The first in particular are employing NIR spectrometry for the quality control of raw materials and intermediates and to check on actives and excipients in formulated products. Figure 9.26(b) demonstrates that even subtle differences between the NIR spectra of enantiomers can be detected. 

A variety of measurement methods have been developed for determining the water activity of food materials and are well described in texts such as Rahman (1995), Wiederhold (1997), and Bell and Labuza (2000). In general, water activity is a relatively easy parameter to measure, which can be an advantage, especially for use in the food industry. Depending on the technique selected, the water activity of a food material can be measured in a time frame of minutes (e.g., electronic instrument). In addition, individuals can be trained, with a limited amount of instruction, to make water activity measurements. Consequently, when appropriate, water activity measurements can be made relatively quickly by personnel overseeing a manufacturing line for quality assurance purposes. Measurement protocols, such as calibration procedures and proper temperature control, should be implemented to assure the accuracy of online c/w measurements. 

This group of methods can be applied to routine quality control analyses or for process control of food additives. Many publications describe new developments but few validated procedures are available in the literature. Some applications used within the food industry remain unpublished but some details are given below. A wide variety of techniques are available including biosensors, enzymatic, pH differential methods, X-ray fluorescence and NIR. 

It may appear much cheaper to employ a culture than add an enzyme to the food process. However, not only economic but also quality control and food safety considerations are involved in decision making in the modern commercial process. Indeed, all three elements of the choice economy, reproducibility and process safety, presented to the manufacturer, have meant that innovations involving enzymes, which may seem fine on the drawing board, have been very tardily adopted by industry. 

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