In this work, a signal amplification supersandwich strategy was developed for highly selective and sensitive detection of cancer cells using aptamer-DNA concatamer-quantum dots (QDs) probes. First of all, electrode materials denoted as MWCNTs@PDA@AuNPs were fabricated by multiwall carbon nanotubes (MWCNTs), gold nanoparticles (AuNPs), and polydopamine (PDA) using a layer-by-layer technique. Then, the prepared bases as matrices were applied to bind concanavalin A (Con A), resulting in high stability, bioactivity, and capability for cell capture. Meanwhile, aptamer-DNA concatamer-QDs were designed via DNA hybridization followed by covalent assembling, which incorporated the specific recognition of the aptamer with the signal amplification of the DNA concatamer and QDs. With aptamer-DNA concatamer-QDs as recognizing probes, the model cancer cells (CCRF-CEM cells) were detected using a MWCNTs@PDA@AuNPs modified electrode with trapped Con A by means of fluorescence and electrochemical methods. The proposed supersandwich cytosensor showed high sensitivity with the detection limit of 50 cells mL(-1). More importantly, it could distinguish cancer cells from normal cells, which indicated the promising applications of our method in clinical diagnosis and treatment of cancers.

A highly sensitive and specific indirect competitive enzyme-linked immunosorbent assay (ELISA) for the determination of diclofenac in water samples was developed. With pure water, the limit of detection (LOD, S/N = 3) and IC50 were found to be 6 ng/L and 60 ng/L, respectively. The analytical working range was about 20-400 ng/L. Highest cross-reactivity (CR) of 26 tested pharmaceuticals, metabolites, and pesticides was found for 5-hydroxydiclofenac (100%). Other estimated values were well below 4% and, therefore, are negligible. The assay was applied for the determination of diclofenac in tap and surface water samples as well as wastewater collected at 20 sewage treatment plants (STPs) in Austria and Germany. Humic substances were identified as main interference in surface water. Wastewater samples which were only submitted to filtration and dilution yielded about 25% higher diclofenac concentrations using the ELISA compared to GC-MS. However, the ELISA turned out to be a simple, inexpensive, and accurate method for the determination of diclofenac both in influent and effluent wastewater after rather simple sample preparation, i.e., filtration, acidification, and readjustment to neutral pH-value, and at least 10-fold dilution with pure water.

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A highly selective and sensitive indirect competitive enzyme-linked immunosorbent assay (ELISA) for Sudan I was developed. Two hapten derivatives with different lengths of carboxylic spacer at the azo-bound para-position were synthesized and coupled to carrier proteins. The hapten-bovine serum albumin (BSA) conjugates were used as immunogens, while the hapten-ovalbumin (OA) conjugates were applied as coating antigens. The antisera which were obtained from four immunized rabbits were characterized in terms of sensitivity and specificity. At optimal experimental conditions it was found that IC50 and LOD values of seven pairs based on four antisera and two coating antigens were in the range of 0.3-2 ng/mL and 0.02-0.1 ng/mL, respectively. The most sensitive ELISA could be established with Sudan I-propionic acid-OA coating antigen and the antiserum which was obtained with the corresponding immunogen. The cross-reactivity values of the four antisera with Sudan II, III, and IV was estimated with 0.1-14.3%. No cross-reactivity was found with six edible colorants Sunset yellow, Amarant, Kermes, Indigotin, Bright blue and Lemon yellow, indicating high specificity for Sudan I. Six food samples were fortified with Sudan I and extracted by simple sample preparation. The methanolic extracts after dilution with methanol:water (5:95, v/v) were analyzed by the developed ELISA. Assay precision and accuracy was estimated by determination of three replicates. Acceptable recovery rates of 92.5-114% and intra-assay coefficients of variation of 5.9-24.8% were obtained. The data were validated by conventional HPLC method. As revealed, both methods were highly correlated (r = 0.9851, n = 7), demonstrating the applicability of the developed ELISA for Sudan I analysis in food samples.