Lutein Maintains Bone Mass In Vitro and In Vivo Against Disuse-Induced Bone Loss in Hindlimb-Unloaded Mice.

Background: Lutein, a carotenoid, exhibits various biological activities such as maintaining the health of the eye, skin, heart, and bone. Recently, we found that lutein has dual roles in suppressing bone resorption and promoting bone formation. In this study, we examined the effects of lutein in a disuse-induced osteoporosis model using hindlimb-unloaded (HLU) mice.

Salidroside: An Overview of Its Promising Potential and Diverse Applications.

Salidroside, a phenolic compound isolated from various plants, is the principal active constituent of Traditional Chinese Medicine known for its adaptogenic properties. Due to the challenging environment of species, such as high altitude, high radiation, drought, and hypoxia, the source of salidroside is scarce. However, numerous studies have shown that salidroside has a range of biological activities, including cardiovascular and central nervous system activity, and anti-hypoxia, anti-inflammatory, and anti-aging activities.

Quantitatively Detecting Camellia Oil Products Adulterated by Rice Bran Oil and Corn Oil Using Raman Spectroscopy: A Comparative Study Between Models Utilizing Machine Learning Algorithms and Chemometric Algorithms.

The fast and accurate quantitative detection of camellia oil products is significant for multiple reasons. In this study, rice bran oil and corn oil, whose Raman spectra both hold great similarities with camellia oil, are blended with camellia oil, and the concentration of each composition is predicted by models with varying feature extraction methods and regression algorithms. Back propagation neural network (BPNN), which has been rarely investigated in previous work, is used to construct regression models, the performances of which are compared with models using random forest (RF) and partial least squares regression (PLSR).

Multi-Element Fingerprinting Combined with Chemometrics for Identification of Seaweeds and Innovative Risk-Benefit Assessment.

Seaweeds are one of the major marine foods with high values. The diversity of seaweed species significantly impacts their quality and is closely linked to their purity and safety. For the first time, this study established a model to discriminate seaweed species using a multi-element fingerprinting approach for species identification.

Mass Spectrometry-Based Metabolomics Investigation on Two Different Seaweeds Under Arsenic Exposure.

Arsenic is a common toxic heavy metal contaminant that is widely present in the ocean, and seaweeds have a strong ability to concentrate arsenic, posing a potential risk to human health. This study first analyzed the arsenic content in two different seaweeds and then used an innovative method to categorize the seaweeds into low-arsenic and high-arsenic groups based on their arsenic exposure levels. Finally, a non-targeted metabolomic analysis based on mass spectrometry was conducted on seaweed from different arsenic exposure groups.