PubMed · 14228271
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L T SKEGGS, H HOCHSTRASSER. 1964. MULTIPLE AUTOMATIC SEQUENTIAL ANALYSIS.. https://pubmed.ncbi.nlm.nih.gov/14228271/
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OBJECTIVE: The objective of the study is to validate self-reported cellular phone use information by comparing it with the cumulative emitted power and duration of calls measured by software-modified cellular phones (SMP). The information was obtained using a questionnaire developed for the international case-control study on the risk of the use of mobile phones in tumours of the brain or salivary gland (INTERPHONE-study). METHOD: The study was conducted in Bielefeld, Germany. Volunteers were asked to use SMPs instead of their own cellular phones for a period of 1 month. The SMP recorded the power emitted by the mobile phone handset during each base station contact. Information on cellular phone use for the same time period from traffic records of the network providers and from face-to-face interviews with the participants 3 months after the SMP use was assessed. Pearson's correlation coefficients and linear regression models were used to analyse the association between information from the interview and from the SMP. RESULTS: In total, 1757 personal mobile phone calls were recorded for 45 persons by SMP and traffic records. The correlation between the self-reported information about the number and the duration of calls with the cumulative power of calls was 0.50 (P<0.01) and 0.48 (P<0.01), respectively. Almost 23% of the variance of the cumulative power was explained by either the number or the cumulative duration of calls. After inclusion of possible confounding factors in the regression model, the variance increased to 26%. Minor confounding factors were "network provider", "contract form", and "cellular phone model". DISCUSSION: The number of calls alone is a sufficient parameter to estimate the cumulative power emitted by the handset of a cellular telephone. The cumulative power emitted by these phones is only associated with number of calls but not with possible confounding factors. Using the mobile phone while driving, mainly in cities, or mainly in rural areas is not associated with the recorded cumulative power in the SMP.
The principle of sequential injection analysis (SIA) was exploited to develop a rapid fully automated and efficient pre-column derivatization procedure coupled on-line to liquid chromatography (HPLC). Using the SIA-HPLC derivatization protocol gamma-aminobutyric acid (GABA) was determined fluorimetrically in human biological fluids with o-phthaldialdehyde (OPA) as derivatization reagent and minimum sample pretreatment. A lab-built SIA system was used to handle samples, standard solutions and OPA reagent. Appropriate volumes of the reagents were introduced in the holding coil of the SIA system and were mixed on propulsion to the HPLC loop through a suitable reaction coil. The chemical (pH, c(OPA), c(mercaptoethanol)) and instrumental variables (volumes of sample and reagent, reaction time) of the reaction were studied and optimized in terms of maximum sensitivity. The chromatographic variables (gradient composition of the eluent and flow rate) were studied for optimum selectivity and peak characteristics. The developed experimental configuration facilitated fully-automated operation thus minimizing errors in handling. Additionally the method as a whole provided very satisfactory sensitivity, precision and accuracy. Direct determination of GABA in human urine and cerebrospinal fluid (CSF) at microg L(-1) (ppb) levels was accomplished, with minimum sample pretreatment.
Aberrant DNA methylation of CpG site is among the earliest and most frequent alterations in cancer. Detection of promoter hypermethylation of cancer-related gene may be useful for cancer diagnosis or the detection of recurrence. However, most of the studies have focused on a single gene only and gave little information about the concurrent methylation status of multiple genes. In this study, we attempted to develop a microarray method coupled with linker-PCR for detecting methylation status of multiple genes in the tumor tissue. A series of synthesized oligonucleotides were synthesised and purified to completely match with 16 investigated targets. Then they were immobilized on the aldehyde-coated glass slide to fabricate a DNA microarray for detecting methylation status of these genes. The results indicated that these genes were all methylated in the positive control. However, no methylated was found in these genes for the negative control. Only p16 and p15 genes were methylated in investigated genes for the gastric tumor tissue, whereas others were not methylated. The above results were validated by bisulfite DNA sequencing. Our experiments successfully demonstrated that the DNA microarray could be applied as a high-throughput tool to determine methylation status of the investigated genes.