January 1st 2024
The article describes a method for geochemical sample analysis using polytetrafluoroethylene (PTFE) crucibles and ICP-MS, achieving detection limits below 0.2 μg/g and relative standard deviations ranging from 1.1% to 16.4%. The approach minimizes acid usage, prevents dust contamination, accurately determines volatile elements, and is deemed suitable for high-throughput laboratories with numerous samples and diverse elements to be tested.
December 1st 2023
Detection of Trace Tin(II) by Salicylfluoroketone Complex Fluorescence Method
February 1st 2024A complex fluorescence method utilizing the Sn(II)-salicylfluorescein (SAF)-cetyltrimethylammonium bromide (CTMAB) system demonstrated effective detection of Sn(II) with a linear relationship between its concentration and fluorescence intensity, along with successful application in various sample matrices with high recovery rates.
Prediction of the Harvest Time of Cabernet Sauvignon Grapes Using Near-Infrared Spectroscopy
February 1st 2024The results in this study indicate that NIR spectroscopy is a potentially promising approach for the rapid identification of different harvest times of Cabernet Sauvignon grapes, and the proposed technique is helpful for the prediction of ripened and over-ripened Cabernet Sauvignon grapes during the harvest time.
Technological Analysis of Glazed Tiles Unearthed from Bao’ensi in Nanjing
June 23rd 2023UV-Vis-NIR can be used to understand how ancient buildings were constructed. Here, a UV-Vis-NIR and EDXRF spectrophotometer were used to analyze glazed tiles that comprised a historical site built in Ancient China.
The relationship between leaf nitrogen content (LNC) and hyperspectral remote sensing imagery (HYP) was determined to construct an estimation model of the LNC of drip-irrigated sugar beets, to enable real-time monitoring of sugar beet growth and nitrogen management in arid areas.
A Fingerprint in a Fingerprint: Raman Spectral Analysis of Pharmaceutical Ingredients
March 1st 2023The significance of the smaller spectral region of the Raman spectrum, defined as the “fingerprint in the fingerprint” region, cannot be overstated when it comes to active pharmaceutical ingredient identity testing (API).