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Azo dyes constitute a significant environmental burden due to its toxicity, carcinogenicity, and hard biodegradation. The report here is focused on the decolorization and degradation treatment of azo dye methyl red (MR). Decolorization of MR using Aspergillus versicolor LH1 isolated from activated sludge was investigated. The maximum decolorization rate of 92.3% was obtained under the optimized conditions of sucrose as carbon source, 5d incubation age, pH 6.0, 140 mg/L initial concentration of MR and 2.5 g/L initial concentration of NaNO3. Biodegradation products of MR were investigated using HPLC-MS, FTIR, and GC-MS assays. It was revealed the three bonds of –C–N = in MR aromatic nucleus were disrupted, and benzoic acid was detected. Micronucleus test with Glycine max L. and Vicia faba L. demonstrated that MCN‰ (micronucleus permillage) of MR metabolites was less than MR solution. These findings provided evidence that A. versicolor LH1 is a candidate for MR degradation in industrial wastewater treatment. [ABSTRACT FROM AUTHOR]

The purpose of decoction traditional Chinese medicine is to make full exhalation of medicinal materials active ingredients, thus it has the maximum effect of traditional Chinese medicine to treat disease. In order to detect the dissolution change of medicinal materials active ingredients in decoction process, this paper applys spectral imaging technology, with Chinese traditional medicine cortex phellodendri as an example, discussing its fluorescence intensity at different time in decoction process. And the analysis results reflect edgewise the dissolution rule of cortex phellodendri active ingredients.

In order to test the distribution of active constituent of traditional Chinese medicine and to evaluate the quality of medicinal part effectively, spectral imaging analysis technology was used, and rhizoma coptidis pieces were tested as an example. First, the fluorescence spectral cube was taken, and the spectral curve of 3 different medicinal parts of the piece was obtained; second, spectral images were reconstructed by principal components analysis method, and the differences of 3 medicinal parts on the first few principal components were focused; third, the first component image was divided by the threshold method, then the distribution and relative content of 3 medicinal parts were obtained. The results show that spectral imaging analysis technology can provide the distribution of the active constituent, which can be used as the criterion of selecting medicinal parts. The testing course is nondestructive and rapid.