Optimisation of cross-linking β-cyclodextrin and its recycling efficiency for cholesterol removal in milk and cream

The effect of treatment conditions on color characteristics and measure of cholesterol removal from milk by beta-cyclodextrin application

Long-term high cholesterol intake is one of the most critical risk factors of cardiovascular diseases (CVD). As milk and dairy products are rich in cholesterol and are consumed on a large scale, the production of low-cholesterol content products could decrease effectively high cholesterol intake what would be one of the crucial steps in CVD prevention. Thus, this study is aimed at optimization of treatment conditions (mixing speed, time, and temperature) and β-cyclodextrin addition affecting the measure of cholesterol removal in milk. As found, the optimal conditions were identified such as mixing speed 840 rpm, mixing time 10 min, and the temperature of mixing 25 °C while the most effectivity in cholesterol decrease content (98.1%) was observed after 2.0% β-cyclodextrin addition. The cholesterol removal process did not affect considerably the lightness values L* of treated milk, slight differences were noticed in terms of a* and b* color values but ΔE values were statistically insignificant, i.e., the process of cholesterol removal did not affect visual characteristics of treated milk. So, these conditions can be applied for the production of milk base functional foods with the decreased cholesterol content.

Bifunctional magnetic nanoparticles for efficient cholesterol detection and elimination via host-guest chemistry in real samples

Cholesterol is an essential compound for maintaining cellular homeostasis and human healthy. Sensitive detection of cholesterol and efficient elimination of excess cholesterol have become the essential manipulations in clinical diagnosis and health management. To date, it is still quite challenging that cholesterol detection and elimination tasks are carried out simultaneously. In this study, bifunctional magnetic nanoparticles (Fe₃O₄@PDA-PBA-CD) are designed and fabricated to overcome this difficulty. Taking advantages of competitive host-guest interaction and magnetic separation, highly efficient, reusable and simultaneous cholesterol detection and elimination can be achieved. The limit of detection is determined to be 4.3 nM, which is comparable or even lower than existing methods. The distinguished performance may attribute to the high loading efficiency and magnetic enrichment of nanoparticles. Besides, this efficient strategy is resistant to interfering substances, thus realizing sensitive cholesterol detection in real sample. Simultaneously, the bifunctional magnetic nanoparticles also have up to 95% cholesterol elimination efficiency, which is higher than previous reported methods. Furthermore, the nanoparticles are turned out to be reusable within 5 times without noticeable loss in cholesterol elimination efficiency. Therefore, the bifunctional magnetic nanoparticles fabricated here could hold great potential for simultaneous cholesterol detection and elimination in practical applications.

Optimization of volatile fatty acids and hydrogen production from Saccharina japonica: acidogenesis and molecular analysis of the resulting microbial communities

Response surface methodology (RSM) was used to optimize the production of volatile fatty acids (VFAs) and hydrogen from mixed anaerobic cultures of Saccharina japonica with respect to two independent variables: methanogenic inhibitor concentration and temperature. The effects of four methanogenic inhibitors on acidogenic processes were tested, and qualitative microbial analyses were carried out. Escherichia, Acinetobacter, and Clostridium were the most predominant genera in samples treated with chloroform (CHCl3), iodoform (CHI3), 2-bromoethanesulfonate (BES), or β-cyclodextrin (β-CD), respectively. RSM showed that the production of VFAs reached a peak of 12.5 g/L at 38.6 °C in the presence of 7.4 g/L β-CD; these were the conditions under which hydrogen production was also nearly maximal. The quantitative polymerase chain reaction (qPCR) showed that shifts in the bacterial community population correlated with the concentrations of β-CD indicating that this compound effectively inhibited methanogens.