scholarly journals Spectroscopic Discrimination of Bee Pollen by Composition, Color, and Botanical Origin

Foods ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 1682
Author(s):  
Roman Bleha ◽  
Tetiana V. Shevtsova ◽  
Martina Živčáková ◽  
Anna Korbářová ◽  
Martina Ježková ◽  
...  
Keyword(s):  
Raman Spectra ◽  
Near Infrared ◽  
Color Space ◽  
Principal Component ◽  
Chemical Markers ◽  
Botanical Origin ◽  
Bee Pollen ◽  
Pollen Loads ◽  
Microscope Images ◽  
Ft Raman

Bee pollen samples were discriminated using vibrational spectroscopic methods by connecting with botanical sources, composition, and color. SEM and light microscope images of bee pollen loads were obtained and used to assess the botanical origin. Fourier transform (FT) mid- and near-infrared (FT-MIR, FT-NIR), and FT-Raman spectra of bee pollen samples (a set of randomly chosen loads can be defined as an independent sample) were measured and processed by principal component analysis (PCA). The CIE L*a*b* color space parameters were calculated from the image analysis. FT-MIR, FT-NIR, and FT-Raman spectra showed marked sensitivity to bee pollen composition. In addition, FT-Raman spectra indicated plant pigments as chemical markers of botanical origin. Furthermore, the fractionation of bee pollen was also performed, and composition of the fractions was characterized as well. The combination of imaging, spectroscopic, and statistical methods is a potent tool for bee pollen discrimination and thus may evaluate the quality and composition of this bee-keeping product.

Nondestructive Discrimination of Biological Materials by Near-Infrared Fourier Transform Raman Spectroscopy and Chemometrics: Discrimination among Hard and Soft Ivories of African Elephants and Mammoth Tusks and Prediction of Specific Gravity of the Ivories

1997 ◽  
Vol 51 (8) ◽  
pp. 1154-1158 ◽  
Author(s):  
Masahiko Shimoyama ◽  
Hisashi Maeda ◽  
Hidetoshi Sato ◽  
Toshio Ninomiya ◽  
Yukihiro Ozaki
Keyword(s):  
Raman Spectroscopy ◽  
Fourier Transform ◽  
Specific Gravity ◽  
Raman Spectra ◽  
Near Infrared ◽  
Principal Component ◽  
Biological Materials ◽  
Calibration Model ◽  
Fourier Transform Raman Spectroscopy ◽  
Ft Raman

This paper demonstrates the usefulness of near-infrared (NIR) Fourier transform (FT) Raman spectroscopy and chemometrics in nondestructive discrimination of biological materials. The discrimination among three kinds of materials—hard ivories, soft ivories, and mammoth tusks—has been investigated as an example. NIR (1064-nm) excited FT-Raman spectra were measured in situ for these materials, and principal component analysis (PCA) of the obtained spectra was carried out over the 1800–400-cm−1 region. The two kinds of ivories are clearly discriminated from one another on the basis of a one-factor plot. It was found that treatment of the Raman data by multiplicative scatter correction (MSC) greatly improves the ability to discriminate. Principal component weight loadings show that the discrimination relies upon the ratio of collagen and hydroxyapatite included in two kinds of ivories. The discrimination among the hard and soft ivories and mammoth tusks was made by a three-factor plot for FT-Raman spectra after the MSC treatments. Partial least-squares regression (PLSR) enabled us to make a calibration model which predicts the specific gravity of the hard and soft ivories.

Potential of Near-Infrared Fourier Transform Raman Spectroscopy in Food Analysis

1992 ◽  
Vol 46 (10) ◽  
pp. 1503-1507 ◽  
Author(s):  
Y. Ozaki ◽  
R. Cho ◽  
K. Ikegaya ◽  
S. Muraishi ◽  
K. Kawauchi
Keyword(s):  
Raman Spectroscopy ◽  
Fourier Transform ◽  
Fatty Acid ◽  
Raman Spectra ◽  
Food Analysis ◽  
Near Infrared ◽  
Egg White ◽  
Ft Raman Spectroscopy ◽  
Ft Raman

The 1064-nm excited Fourier transform (FT) Raman spectra have been measured in situ for various foods in order to investigate the potential of near-infrared (NIR) FT-Raman spectroscopy in food analysis. It is demonstrated here that NIR FT-Raman spectroscopy is a very powerful technique for (1) detecting selectively the trace components in foodstuffs, (2) estimating the degree of unsaturation of fatty acids included in foods, (3) investigating the structure of food components, and (4) monitoring changes in the quality of foods. Carotenoids included in foods give two intense bands near 1530 and 1160 cm−1 via the pre-resonance Raman effect in the NIR FT-Raman spectra, and therefore, the NIR FT-Raman technique can be employed to detect them nondestructively. Foods consisting largely of lipids such as oils, tallow, and butter show bands near 1658 and 1443 cm−1 due to C=C stretching modes of cis unsaturated fatty acid parts and CH2 scissoring modes of saturated fatty acid parts, respectively. It has been found that there is a linear correlation for various kinds of lipid-containing foods between the iodine value (number) and the intensity ratio of two bands at 1658 and 1443 cm−1 ( I1658/ I1443), indicating that the ratio can be used as a practical indicator for estimating the unsaturation level of a wide range of lipid-containing foods. A comparison of the Raman spectra of raw and boiled egg white shows that the amide I band shifts from 1666 to 1677 cm−1 and the intensity of the amide III band at 1275 cm−1 decreases upon boiling. These observations indicate that most α-helix structure changes into unordered structure in the proteins constituting egg white upon boiling. The NIR FT-Raman spectrum of old-leaf (about one year old) Japanese tea has been compared with that of its new leaf. The intensity ratio of two bands at 1529 and 1446 cm−1 ( I1529/ I1446), assignable to carotenoid and proteins, respectively, is considerably smaller in the former than in the latter, indicating that the ratio is useful for monitoring the changes in the quality of Japanese tea.

scholarly journals Botanical profile of bee pollen from the southern coastal region of Bahia, Brazil

2010 ◽  
Vol 24 (3) ◽  
pp. 862-867 ◽  
Author(s):  
Marcos da Costa Dórea ◽  
Jaílson Santos de Novais ◽  
Francisco de Assis Ribeiro dos Santos
Keyword(s):  
Apis Mellifera ◽  
Plant Species ◽  
Coastal Region ◽  
Botanical Origin ◽  
Mimosa Pudica ◽  
Bee Pollen ◽  
Pollen Loads ◽  
Pollen Types ◽  
Pollen Sources ◽  
Forest Biome

This paper aims to identify the botanical origin of pollen loads collected by Apis mellifera L. in Canavieiras municipality, Bahia state. It provides a list of polliniferous plant species from the Atlantic Forest biome that are important for the development of regional apiculture. Using the acetolysis method, 35 bee-pollen samples were analyzed qualitatively and quantitatively. Results showed that pollen types Elaeis (23.99%), Mimosa pudica (22.78%) and Cecropia (13.68%) were the most abundant among the samples. These also showed the highest relative frequencies of the material studied and were important pollen sources for bees in the study area.

scholarly journals Morphological, Physicochemical and FTIR Spectroscopic Properties of Bee Pollen Loads from Different Botanical Origin

Molecules ◽  
2019 ◽  
Vol 24 (21) ◽  
pp. 3974 ◽  
Author(s):  
Sara Castiglioni ◽  
Paola Astolfi ◽  
Carla Conti ◽  
Elga Monaci ◽  
Mariassunta Stefano ◽  
...  
Keyword(s):  
Spectroscopic Properties ◽  
Botanical Origin ◽  
Spectra Analysis ◽  
Bee Pollen ◽  
Pollen Loads ◽  
Visual Identification ◽  
Pollen Content ◽  
Bee Foraging ◽  
Typical Composition

Bee pollen loads generally have a homogeneous and monospecific pollen content and assume a typical form and color, due to the typical bee foraging habits, thus having a typical composition related to the botanical origin. The present study aims to characterize bee pollen loads belonging to different botanical species using morphological, spectroscopic and color properties and to find relationships between these variables. IR spectra analysis allowed to have a reliable picture of the components present in the different samples; color and granulometry permits a visual identification of pollen load belonging to different species. Multivariate analysis enabled differentiation among the botanical origin of most of the bee pollen samples, grouping them according to the family and the genus and confirming the possibility to use IR and color measurements for the evaluative analysis and classification of bee pollen samples, to promote the consumption of this bee product as functional food.

In-vivo near-infrared FT-Raman spectra of photosynthetic bacteria

1992 ◽  
Author(s):  
K. Okada ◽  
Y. Fujimoto ◽  
S. Muraishi ◽  
Y. Koyama ◽  
Yukihiro Ozaki
Keyword(s):  
Raman Spectra ◽  
Photosynthetic Bacteria ◽  
Near Infrared ◽  
Ft Raman

Near-infrared FT-Raman spectra of the rat brain tissues

1992 ◽  
Vol 141 (1) ◽  
pp. 47-52 ◽  
Author(s):  
Aritake Mizuno ◽  
Takashi Hayashi ◽  
Kouichi Tashibu ◽  
Shuichi Maraishi ◽  
Kazuaki Kawauchi ◽  
...  
Keyword(s):  
Rat Brain ◽  
Raman Spectra ◽  
Near Infrared ◽  
Ft Raman ◽  
Brain Tissues

scholarly journals Evaluation of the botanical origin of commercial dry bee pollen load batches using pollen analysis: a proposal for technical standardization

2010 ◽  
Vol 82 (4) ◽  
pp. 893-902 ◽  
Author(s):  
Ortrud M. Barth ◽  
Alex S. Freitas ◽  
Érika S. Oliveira ◽  
Rosana A. Silva ◽  
Fernanda M. Maester ◽  
...  
Keyword(s):  
Pollen Grains ◽  
Pollen Grain ◽  
Botanical Origin ◽  
Microscope Slide ◽  
Bee Pollen ◽  
Pollen Loads ◽  
Commercial Purpose ◽  
Technical Standardization ◽  
Mixed Batch

High quality of bee pollen for commercial purpose is required. In order to attend the consumer with the best identification of the botanical and floral origin of the product, 25 bee pollen batches were investigated using two techniques of pollen grain preparation. The first started to identify pollen loads of different colors in two grams of each well mixed batch, and the second to identify pollen grains in a pool made of all the pollen loads comprised in two grams. The best result was obtained by this last technique, when a pollen grain suspension was dropped on a microscope slide and circa 500 pollen grains were counted per sample. This analysis resulted in the recognition of monofloral and bifloral pollen batches, while the use of the first technique resulted in all samples receiving a heterofloral diagnosis.

scholarly journals Spectroscopic evaluation of carcinogenesis in endometrial cancer

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Joanna Depciuch ◽  
Edyta Barnaś ◽  
Joanna Skręt-Magierło ◽  
Andrzej Skręt ◽  
Ewa Kaznowska ◽  
...  
Keyword(s):  
Endometrial Cancer ◽  
Raman Spectra ◽  
Early Stage ◽  
Pearson Correlation ◽  
Acid Amide ◽  
Principal Component ◽  
Atypical Hyperplasia ◽  
Diagnostic Methods ◽  
Chemical Changes ◽  
Ft Raman

AbstractCarcinogenesis is a multifaceted process of cancer formation. The transformation of normal cells into cancerous ones may be difficult to determine at a very early stage. Therefore, methods enabling identification of initial changes caused by cancer require novel approaches. Although physical spectroscopic methods such as FT-Raman and Fourier Transform InfraRed (FTIR) are used to detect chemical changes in cancer tissues, their potential has not been investigated with respect to carcinogenesis. The study aimed to evaluate the usefulness of FT-Raman and FTIR spectroscopy as diagnostic methods of endometrial cancer carcinogenesis. The results indicated development of endometrial cancer was accompanied with chemical changes in nucleic acid, amide I and lipids in Raman spectra. FTIR spectra showed that tissues with development of carcinogenesis were characterized by changes in carbohydrates and amides vibrations. Principal component analysis and hierarchical cluster analysis of Raman spectra demonstrated similarity of tissues with cancer cells and lesions considered precursor of cancer (complex atypical hyperplasia), however they differed from the control samples. Pearson correlation test showed correlation between cancer and complex atypical hyperplasia tissues and between non-cancerous tissue samples. The results of the study indicate that Raman spectroscopy is more effective in assessing the development of carcinogenesis in endometrial cancer than FTIR.

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