Capsaicin is an active compound in hot peppers. It has been studied for its health benefits for humans. Optical spectroscopy is an important tool for determining the optical properties or chemical composition of matter. The aim of this research is proposing an optical method to identify and quantify capsaicin in the visible range. To achieve this goal, we combined absorption and diffuse reflectance spectroscopy techniques to compute the extinction coefficient. Moreover, the concentration of the analytes was determined using the optical properties of capsaicin. Our method is a promising tool for developing a classification of capsaicin according to its percentage in chilies. The extinction coefficients are reported for 507nm and 663nm, which are the most significative. In addition, the coefficients to build the mathematical model for capsaicin are reported for Kubelka-Munk model. Finally, a comparison between capsaicin vs chilies spectra was obtained to identify spectral response. Diffuse reflectance signals allowed the identification of capsaicin and opened the possibility of this fast and easy to do method for classification and quantification of bioactive compounds.
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http://dx.doi.org/10.1016/j.heliyon.2020.e05797 | DOI Listing |
Front Surg
January 2025
Department of Thoracic Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Background: To accurately identify spread through air spaces (STAS) in clinical stage IA lung adenocarcinoma, our study developed a non-invasive and interpretable biomarker combining clinical and radiomics features using preoperative CT.
Methods: The study included a cohort of 1,325 lung adenocarcinoma patients from three centers, which was divided into four groups: a training cohort ( = 930), a testing cohort ( = 238), an external validation 1 cohort ( = 93), and 2 cohort ( = 64). We collected clinical characteristics and semantic features, and extracted radiomics features.
Indian J Occup Environ Med
December 2024
Department of Environmental Science, University of Calcutta, Kolkata, West Bengal, India.
Background: Chronic exposure to low-level environmental lead (Pb) causes several health effects in humans. Its biomonitoring by non-invasive biomarkers is imperative to identify Pb exposure in the occupationally unexposed general public.
Objective: To quantify urinary lead (U-Pb) and urinary δ-Aminolevulinic acid (ALA) in the general population of West Bengal, India, and identify the impact of routine life activities (smoking habit, traveling, and cooking activities) and sociodemographic factors on U-Pb and U-ALA levels.
Indian J Occup Environ Med
December 2024
Department of Industrial Hygiene and Toxicology, ICMR-Regional Occupational Health Centre (S), NIOH, ICMR Complex, Bengaluru, Karnataka, India.
Background: Beedi rolling is a labor-intensive occupation that can cause a variety of health problems due to prolonged exposure to tobacco dust. This cross-sectional study aimed to assess morbidity, hematological profile, and DNA damage among beedi rollers in Karnataka.
Methods: A total of 153 participants, including 85 beedi and 65 non-beedi rollers, were enrolled in the study.
Curr Dev Nutr
January 2025
The Family, Interiors, Nutrition & Apparel (FINA) Department, San Francisco State University, San Francisco, CA, United States.
Background: Food insecurity on college campuses is a pressing issue, yet the ways in which students manage challenges and disruptions to their food security status (FSS) are poorly understood.
Objectives: The objective of this study was to examine knowledge of food insecurity as a concept, evaluate FSS, identify food acquisition-related behaviors, and determine whether these behaviors differ among FSS.
Methods: University students at increased risk of experiencing food insecurity ( = 43) were recruited for this mixed-methods study.
Front Cardiovasc Med
January 2025
Clinical Laboratory, Children's Hospital Affiliated to Shandong University, Jinan, China.
Background: The nomogram is a powerful and robust tool in disease risk prediction that summarizes complex variables into a visual model that is interpretable with a quantified risk probability. In the current study, a nomogram was developed to predict the occurrence of coronary artery lesions (CALs) among patients with Kawasaki disease (KD). This is especially valuable in the early identification of the risk of CALs, which will lead to proper diagnosis and treatment to reduce their associated complications.
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