Capillary method for measuring near-infrared spectra of microlitre volume liquids

INTRODUCTION The bands of near-infrared (NIR) spectra have low absorptivities, which allow in situ analysis of chemical and biological materials with no or little sample preparation. Therefore, as one of the most important nondestructive analytical techniques, NIR spectroscopy is being extensively applied in the fields of agriculture, industry, biotechnology and medicine (Siesler et al., 2002; Scarff et al., 2006; Ward et al., 2006). Recently, with instrumental developments such as Fou…     

Biotransformation of nitro-polycyclic aromatic compounds by vegetable and fruit cell extracts

Extracts from various vegetables and fruits were investigated for their abilities to reduce nitro-polycyclic aromatic hydrocarbons (NPAHs). The extracts from grape and onion exhibited an interesting selectivity, yielding corresponding hydroxylamines or amines as major products under mild conditions of 30 °C and pH 7.0. Grape extracts reduced the 4-nitro-1,8-naphthalic anhydride with the highest conversion rate (>99%) and the highest ratio of hydroxylamine to amine (95:5). In contrast, the onion extracts reduced 4-nitro-1,8-naphthalic anhydride with a conversion rate of 94% and a ratio of hydroxylamine to amine of 8:92. The thiol-reducing agent, β-mercaptoethanol, and metal cations, Ca²⁺ and Mg²⁺, greatly increased the reductive efficiency. This work provides an alternative strategy for biotransformation of nitro-polycyclic compounds.     

Application of principal component-radial basis function neural networks (PC-RBFNN) for the detection of water-adulterated bayberry juice by near-infrared spectroscopy

Near-infrared (NIR) spectroscopy combined with chemometrics techniques was used to classify the pure bayberry juice and the one adulterated with 10% (w/w) and 20% (w/w) water. Principal component analysis (PCA) was applied to reduce the dimensions of spectral data, give information regarding a potential capability of separation of objects, and provide principal component (PC) scores for radial basis function neural networks (RBFNN). RBFNN was used to detect bayberry juice adulterant. Multiplicative scatter correction (MSC) and standard normal variate (SNV) transformation were used to preprocess spectra. The results demonstrate that PC-RBFNN with optimum parameters can separate pure bayberry juice samples from water-adulterated bayberry at a recognition rate of 97.62%, but cannot clearly detect water levels in the adulterated bayberry juice. We conclude that NIR technology can be successfully applied to detect water-adulterated bayberry juice.     

植物细胞跨膜信号转导中G蛋白的研究概述

G蛋白在物种进化过程中具有高度保守性，不同的G蛋白有不同的基因编码．检测植物G蛋白多采用生化检测法和分子生物学检测法．植物G蛋白在光信号转导、激素信号转导和病原信号转导等方面有重要调控作用．