Heat shock factor 1 suppresses the HIV-induced inflammatory response by inhibiting nuclear factor-κB.

The persistent inflammation aggravated by a disordered immune response is considered to be the major cause of CD4 T cell depletion in lymphoid tissue, which impels the progression of AIDS. Here, we report that heat shock factor 1 (HSF1) works as an innate repressor of HIV-induced inflammation. The activation of HSF1 was found to accompany inflammation during HIV infection.

A metal-organic framework based PCR-free biosensor for the detection of gastric cancer associated microRNAs.

We report herein five sensing platforms for the detection of five gastric cancer associated microRNAs (miRNAs). The sensing platforms are hybrids formed from a water-stable metal organic framework (MOF) {[Cu(dcbb)(HO)]·10HO} (1, HdcbbBr=1-(3,5-dicarboxybenzyl)-4,4'-bipyridinium bromide), respectively with five carboxyfluorescein (FAM) labeled probe single-stranded DNA (probe ss-DNA, denoted as P-DNA). Within the hybrid, MOF 1 tightly interacts with the P-DNA through electrostatic and/or π-stacking interactions and results in fluorescence quenching of FAM via a photo-induced electron transfer (PET) process.

[Research and application progress of near infrared spectroscopy analytical technology in China in the past five years].

In the past decade, near infrared spectroscopy (NIR) has expanded rapidly and been applied widely in many fields in China. The recent progress of the research and application of NIR analytical technology in China especially in the past five years has been reviewed. It includes hardware and software R&D, Chemometric algorithms and experimental methods research, and quantitative and qualitative applications in the typical fields such as food, agriculture, pharmaceuticals, petrochemicals, forestry, and medical diagnosis.

[Developing near infrared spectroscopy calibration model of molar ratio between methanol and isobutylene by support vector regression].

In petrochemical industries, the molar ratio between methanol and isobutylene is one of the most important control parameters in methyl tertiary butyl ether (MTBE) production plant. However, traditional on-line gas chromatography method is difficult to use in practice because of its high maintenance and low speed. On-line near infrared spectroscopy is hopeful to become an excellent alternative method for determining the parameter due to its rapidness, convenience, and less maintenance.

[Effects of the accuracy of reference data on NIR prediction results].

Reference data are indispensable to build near-infrared spectroscopy (NIR)calibration models. In the present paper, the effects of the accuracy of reference data on NIR calibration models and its prediction results were studied through two routine applications based on partial least square regression methods. The results indicate that the best NIR calibration statistics and the most accurate prediction results were aligned with the most accurate reference data.

[Near infrared spectra (NIR) analysis of octane number by wavelet denoising-derivative method].

Derivative can correct baseline effects and also increase the level of noise. Wavelet transform has been proven an efficient tool for de-noising. This paper is directed to the application of wavelet transfer and derivative in the NIR analysis of octane number (RON).

[A new calibration transfer method based on target factor analysis].

A new calibration transfer method based on target factor analysis is proposed.The performance of the new method compared with the piecewise direct standardization method. This method was applied to two data sets, of which one is a simulation data set, and the other is an NIR data set composed of benzene, toluene, xylene and isooctane.

[Developing robust near infrared calibration models].

There are three approaches to developing robust near infrared calibration models, including spectral pretreatment such as differentiation, Piecewise Multiplicative Scatter Correction (PMSC), Finite Impulse Response (FIR), and Orthogonal Signal Correction (OSC), to remove external variations, selecting wavelengths which are insensitive to external variations, and constructing temperature-hybrid calibration models. In this paper, these three strategies were investigated based on reforming gasoline NIR spectra collected at different temperatures in order to develop robust RON and benzene calibration models against temperature. It has been found that with only spectral pretreatment even OSC method fails to obtain satisfactory results, which could not remove the effects caused by temperature fluctuation.

[Determination of sulfur compounds in catalytic diesel oil by gas chromatography with atomic emission detector and its applications].

The method for separation and determination of sulfur compounds in catalytic diesel oil by gas chromatography with atomic emission detector (GC-AED) was established. More than 130 sulfur compounds (including alkyl thiophenes, benzothiophene, alkyl benzothiophenes, dibenzothiophene, alkyl dibenzothiophenes) in catalytic diesel oil were qualified based on the retention time of some pure sulfur compounds and the retention indexes of sulfur compounds. The effects of oven temperature, heating rate and sample amount on resolution and effective plate number were investigated.