Modern techniques in detection, identification and quantification of bacteria and peptides from foods

Standards have been placed to regulate the microbial and preservative contents to assure that foods are safe to the consumer. In a case of a food-related disease outbreak, it is crucial to be able to detect and identify quickly and accurately the cause of the disease. In addition, for every day control of food microbial and preservative contents, the detection methods must be easily performed for numerous food samples. In this present study, quicker alternative methods were studied for identification of bacteria by DNA fingerprinting. A flow cytometry method was developed as an alternative to pulsed-field gel electrophoresis, the golden method . DNA fragment sizing by an ultrasensitive flow cytometer was able to discriminate species and strains in a reproducible and comparable manner to pulsed-field gel electrophoresis. This new method was hundreds times faster and 200,000 times more sensitive. Additionally, another DNA fingerprinting identification method was developed based on single-enzyme amplified fragment length polymorphism (SE-AFLP). This method allowed the differentiation of genera, species, and strains of pathogenic bacteria of Bacilli, Staphylococci, Yersinia, and Escherichia coli. These fingerprinting patterns obtained by SE-AFLP were simpler and easier to analyze than those by the traditional amplified fragment length polymorphism by double enzyme digestion. Nisin (E234) is added as a preservative to different types of foods, especially dairy products, around the world. Various detection methods exist for nisin, but they lack in sensitivity, speed or specificity. In this present study, a sensitive nisin-induced green fluorescent protein (GFPuv) bioassay was developed using the Lactococcus lactis two-component signal system NisRK and the nisin-inducible nisA promoter. The bioassay was extremely sensitive with detection limit of 10 pg/ml in culture supernatant. In addition, it was compatible for quantification from various food matrices, such as milk, salad dressings, processed cheese, liquid eggs, and canned tomatoes. Wine has good antimicrobial properties due to its alcohol concentration, low pH, and organic content and therefore often assumed to be microbially safe to consume. Another aim of this thesis was to study the microbiota of wines returned by customers complaining of food-poisoning symptoms. By partial 16S rRNA gene sequence analysis, ribotyping, and boar spermatozoa motility assay, it was identified that one of the wines contained a Bacillus simplex BAC91, which produced a heat-stable substance toxic to the mitochondria of sperm cells. The antibacterial activity of wine was tested on the vegetative cells and spores of B. simplex BAC91, B. cereus type strain ATCC 14579 and cereulide-producing B. cereus F4810/72. Although the vegetative cells and spores of B. simplex BAC91 were sensitive to the antimicrobial effects of wine, the spores of B. cereus strains ATCC 14579 and F4810/72 stayed viable for at least 4 months. According to these results, Bacillus spp., more specifically spores, can be a possible risk to the wine consumer.

Tuotantotekniikan ja säilytysajan vaikutus kasvihuonekurkkujen ja -tomaattien aistittavaan laatuun.

Finland has moved from growing vegetables by natural light to year-round greenhouse production using artificial lighting. Determination of sensory effects on greenhouse-grown vegetables is important as sensory evaluation provides information which chemical methods can not. It can tell us about the quality of samples which affects the consumers' behaviour. There are different opinions on how the quality of vegetables should be determined. The consumers are dissatisfied with the quality of vegetables and fruits, although the variety of products is larger than ever. The aim of this study was to find out how artificial lighting contributes to the sensory quality of greenhouse tomatoes and cucumbers compared to traditional natural lighting, and how storage affects the sensory attributes of the samples. In this study there were two sets of tomatoes and two sets of cucumbers, representing two different harvest seasons. Sensory evaluation involved two steps. The first step was to sort the samples and the second step was to generate a profile using descriptive analysis. Sorting was found to give some approximate information on differences between tomato and cucumber samples. MDS-maps dimensions were presented by age and lighting technique. The reliability of sorting results was quite good. The quality of the natural products was inconsistent. Production technology had more of an effect on cucumber samples than tomato samples. Natural light cucumbers were, for example sweeter and softer than artificial light cucumbers. Age had an especially large effect on cucumber appearance characteristics. There were less differences between tomato samples than cucumber samples. Production technology had less of an effect on tomato samples than age, e.g. hardness decreased during storage. In this study, it was found that artificial lighting has little effect on the sensory quality of Finnish greenhouse tomatoes compared with tomatoes grown under natural light.