scholarly journals Tracing the Geographical Origins of Dendrobe (Dendrobium spp.) by Near-Infrared Spectroscopy Sensor Combined with Porphyrin and Chemometrics

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Chaogeng Lv ◽  
Yali He ◽  
Chuanzhi Kang ◽  
Li Zhou ◽  
Tielin Wang ◽  
...  
Keyword(s):  
Near Infrared ◽  
Recognition Rate ◽  
Geographic Origin ◽  
Nir Spectroscopy ◽  
Biologically Active ◽  
Chemical Components ◽  
Active Metabolites ◽  
High Quality ◽  
Methoxy Groups ◽  
Biologically Active Metabolites

Dendrobe (Dendrobium spp.) is a traditional medicinal and edible food, which is rich in nutrients and contains biologically active metabolites. The quality and price of dendrobe are related to its geographical origins, and high quality dendrobe is often imitated by low quality dendrobe in the market. In this work, near-infrared (NIR) spectroscopy sensor combined with porphyrin and chemometrics was used to distinguish 360 dendrobe samples from twelve different geographical origins. Partial least squares discriminant analysis (PLSDA) was used to study the sensing performance of traditional NIR and tera-(4-methoxyphenyl)-porphyrin (TMPP)-NIR on the identification of dendrobe origin. In the PLSDA model, the recognition rate of the training and prediction set of the TMPP-NIR could reach 100%, which was higher than the 91.85% and 91.34% of traditional NIR. And the accuracy, sensitivity, and specificity of the TMPP-NIR sensor are all 1.00. The mechanism of TMPP improving the specificity of NIR spectroscopy should be related to the π-π conjugated system and the methoxy groups of TMPP interact with the chemical components of dendrobe. This study reflected that NIR spectrum with TMPP sensor was an effective approach for identifying the geographic origin of dendrobe.

Spices with Breast Cancer Chemopreventive and Therapeutic Potentials: A Functional Foods Based-Review

2018 ◽  
Vol 18 (2) ◽  
pp. 182-194 ◽  
Author(s):  
Aliyu Muhammad ◽  
Mohammed Auwal Ibrahim ◽  
Ochuko Lucky Erukainure ◽  
Ibrahim Malami ◽  
Auwal Adamu
Keyword(s):  
Breast Cancer ◽  
Urban Areas ◽  
Cancer Chemoprevention ◽  
Biologically Active ◽  
Active Metabolites ◽  
Rural And Urban Areas ◽  
Anticancer Properties ◽  
Rural And Urban ◽  
Breast Cancer Chemoprevention ◽  
Biologically Active Metabolites

Background: Cancer is a multifaceted metabolic disease that affects sizeable dwellers of rural and urban areas. Among the various types of cancer, mammary cancer is one of the most frequently diagnosed cancers in women. Its menace can be curbed with locally consumed spices due to their multiple bioactive phytochemicals. Aims: This review focuses on the breast cancer chemopreventive and therapeutic potentials of locally consumed spices. Methods/Results: The most commonly consumed spices with breast cancer chemopreventive and chemotherapeutic phytochemical include pepper, onions, ginger, garlic, curry and thyme containing many biologically active metabolites ranging from vitamins, fatty acids esters, polyphenols/phenolics, sulfurcontaining compounds and anthraquinones with proven antioxidant, anti-inflammatory, immuno-modulatory, antitumor and anticancer properties against breast cancer/carcinogenesis. Therefore, extracts and active principles of these spices could be explored in breast cancer chemoprevention and possibly therapeutically which may provide an avenue for reducing the risk and prevalence of breast cancer.

scholarly journals A fast and low-cost approach to quality control of alcohol-based hand sanitizer using portable near infrared spectrometer and chemometrics

2021 ◽  
pp. 096703352098731
Author(s):  
Adenilton C da Silva ◽  
Lívia PD Ribeiro ◽  
Ruth MB Vidal ◽  
Wladiana O Matos ◽  
Gisele S Lopes
Keyword(s):  
Quality Control ◽  
Discriminant Analysis ◽  
Near Infrared ◽  
Nir Spectroscopy ◽  
Principal Component ◽  
Partial Least Square ◽  
Least Square ◽  
Chemical Components ◽  
Linear Discriminant ◽  
Hand Sanitizer

The use of alcohol-based hand sanitizers is recommended as one of several strategies to minimize contamination and spread of the COVID-19 disease. Current reports suggest that the virucidal potential of ethanol occurs at concentrations close to 70%. Traditional methods of verifying the ethanol concentration in such products invite potential errors due to the viscosity of chemical components or may be prohibitively expensive to undertake in large demand. Near infrared (NIR) spectroscopy and chemometrics have already been used for the determination of ethanol in other matrices and present an alternative fast and reliable approach to quality control of alcohol-based hand sanitizers. In this study, a portable NIR spectrometer combined with classification chemometric tools, i.e., partial least square discriminant analysis (PLS–DA) and linear discriminant analysis with successive algorithm projection (SPA–LDA) were used to construct models to identify conforming and non-conforming commercial and laboratory synthesized hand sanitizer samples. Principal component analysis (PCA) was applied in an exploratory data study. Three principal components accounted for 99% of data variance and demonstrate clustering of conforming and non-conforming samples. The PLS–DA and SPA–LDA classification models presented 77 and 100% of accuracy in cross/internal validation respectively and 100% of accuracy in the classification of test samples. A total of 43% commercial samples evaluated using the PLS–DA and SPA–LDA presented ethanol content non-conforming for hand sanitizer gel. These results indicate that use of NIR spectroscopy and chemometrics is a promising strategy, yielding a method that is fast, portable, and reliable for discrimination of alcohol-based hand sanitizers with respect to conforming and non-conforming ethanol concentrations.

ChemInform Abstract: Biologically Active Metabolites of the Actinobacterium Streptomyces sp. GW 33/1593.

ChemInform ◽  
2009 ◽  
Vol 40 (30) ◽  
Author(s):  
M. P. Sobolevskaya ◽  
V. A. Denisenko ◽  
S. Fotso ◽  
H. Laach ◽  
N. I. Menzorova ◽  
...  
Keyword(s):  
Biologically Active ◽  
Active Metabolites ◽  
Streptomyces Sp ◽  
Biologically Active Metabolites

Biologically Active Metabolites from Marine Organisms

1995 ◽  
Vol 42 (4) ◽  
pp. 735-738 ◽  
Author(s):  
Jingyu Su ◽  
Longmei Zeng ◽  
Yongli Zhong ◽  
Xiong Fu
Keyword(s):  
Marine Organisms ◽  
Biologically Active ◽  
Active Metabolites ◽  
Biologically Active Metabolites

The chemistry of fungal antagonism and defense

1995 ◽  
Vol 73 (S1) ◽  
pp. 1265-1274 ◽  
Author(s):  
James B. Gloer
Keyword(s):  
Interdisciplinary Studies ◽  
Biologically Active ◽  
Model Systems ◽  
Fungal Metabolites ◽  
Ecological Studies ◽  
Active Metabolites ◽  
Broad Array ◽  
Fungal Antagonism ◽  
Antifungal Chemotherapy ◽  
Biologically Active Metabolites

Mechanisms of fungal antagonism and defense often include the production of biologically active metabolites by one species that exert effects on potential competitors and (or) predators. Studies carried out in our laboratory and others clearly indicate that such ecological phenomena can serve as valuable leads to the discovery of novel and potentially useful bioactive fungal metabolites. There is evidence that some of these compounds may render advantages to the producing organism, although careful and definitive ecological studies are required to determine this. Nevertheless, the results summarized here demonstrate the broad array of possible benefits that can arise from interdisciplinary studies in this area. This paper focuses primarily on our own investigations of the chemistry involved in fungal antagonism and defense using coprophilous and sclerotial fungi as model systems. These results have potential implications in many areas of study, including fungal ecology, secondary metabolism, chemotaxonomy, organic chemistry, structure determination, antifungal chemotherapy, and insect control. Key words: fungi, antifungal, insecticide, antagonism, chemical defense, secondary metabolites.

Jatropha gossypiifolia L. and its biologically active metabolites: A mini review

2019 ◽  
Vol 234 ◽  
pp. 197-203 ◽  
Author(s):  
Qinghua Wu ◽  
Jiri Patocka ◽  
Eugenie Nepovimova ◽  
Kamil Kuca
Keyword(s):  
Biologically Active ◽  
Active Metabolites ◽  
Biologically Active Metabolites ◽  
Jatropha Gossypiifolia
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