Various types of vibrational spectroscopy (generally, it includes various variants of Raman and infrared spectroscopy) have been used for a long time to evaluate a variety of biological objects. Moreover, using vibrational spectroscopy, it is possible to evaluate individual compounds, cells, tissues, multicellular organisms (both living and fixed), and the products of their vital activity. These techniques are used for the assessment of the qualitative and quantitative composition of substances in studied biological objects and the conformations of compounds composing them. Among the advantages of these methods, one can mention their relative non-invasiveness, their significant experience in the subsequent analysis of results, and the possibility to perform in situ and in vivo measurements.
| Substance | Objects | Methods | Bands, cm−1 | Used for Estimation | Ref. |
|---|---|---|---|---|---|
| Carotenoids and other polyenes (e.g., β-carotene, lutein, lycopene, astaxanthin) | Microalgae, extremophiles, lichens; Watermelon, hot pepper, skin |
Resonance Raman spectroscopy, Raman microscopy; SERS |
~1530, ~1120–1200, and ~1000 | Carotenoids detection; Cell detection; Stress detection Concentration of carotenoids; Maturity degree |
[42,43,44,45,46,47,48,49,50,51,52,53,54,55] |
| Chlorophyll | Microorganisms (algae, bacteria, lichens, and endoliths) | Raman spectroscopy, Resonance Raman spectroscopy, Raman microscopy |
Wide range e.g., ~1640, ~1554, ~1437, ~1325, ~1289, ~1233, ~1186, ~1173, ~1020, ~986, ~915 | Organisms’ condition | Reviewed in [43,56] |
| Quinones, flavonoids (polyphenols), pheophytin, cytochromes, hemoglobin et al.; Flexirubins, scytonemin (specific for cyanobacteria) |
Microorganisms (algae, bacteria, lichens, and endoliths) | Raman spectroscopy, Resonance Raman spectroscopy, Raman microscopy |
Wide range | Organisms’ condition Cell detection; |
Reviewed in [43,57,58] |
| Triglycerides (oil) and fatty acids | Algae and microalgae | Raman spectroscopy, Resonance Raman spectroscopy, Raman microscopy; SERS |
1650 (unsaturated) and 1440 (saturated) bonds, respectively | Biofuel production; Oil concentration |
[56,59,60,61,62,63] |
| Ethanol | Lignin and cellulose conversion to bioethanol in bioreactor | Raman spectroscopy | 883 | Biofuel production | [59,64] |
| Glucose and Glucose oligomers and polysaccharides | Lignin and cellulose conversion to bioethanol in bioreactor | Raman spectroscopy | 1120 Typical glycosidic bond peak at 920–960 |
Biofuel production | [59] |
| Inorganic polyphosphate inclusions | Microalgae | Raman microscopy | Peak at ~1160 | Substance and concentration detection | [65,66] |
| Nitrogen (crystalline guanine) | Microalgae | Raman microscopy | Maximum at 651 | Substance and concentration detection | [67,68] |
| Starch | Microalgae | Raman microscopy | Maximum ~479 | Substance and concentration detection | [68] |
| Lipids | Microalgae | Raman microscopy | Maximum ~2854 | Substance and concentration detection | [68] |
| Calcite and aragonite magnesite |
Shells (exoskeletons) | Raman spectroscopy, Raman microscopy |
Peaks at 156, 282, and 1087 (calcite); Peaks at 155, 206, and 1086 (aragonite); Band at 1089 (magnesite) | Assessment of the size and mineralization level | [69,70,71,72,73,74] |
| Microorganisms, strains of micro-organisms | Specific binding cell sites | SERS with special particles containing biorecognition molecules | The peak of particles | Ultrasensitive bacteria (pathogen) detection | [75,76] |
| Objects | Substances | Methods * | Used for Estimation | Ref. |
|---|---|---|---|---|
| Plants, fruits | Antioxidants (e.g., phenolic compounds, carotenoids, triterpenoids); organic acids; polysaccharides; essential oils; fatty acids | NIR and IR spectroscopy | Qualitative and quantitative detection | [94,95,96,97,98,99,100,101,102] |
| Leaves of C. arabica | Compounds of leaves | NIR spectroscopy | Monitoring of atmospheric CO2 | [103] |
| Wood | Cellulose, lignine, phenolic compounds, and other wood components | Mainly NIR, DRIFT-MIR | Evaluation chemical structure and physical properties (including in vivo); changes in composition; density; degradation level; humidity |
[104,105,106,107,108] |
| Control for: Raw materials; transesterification process in bioreactor |
Oils, fats, free fatty acids; methyl esters; |
NIR and IR spectroscopy | Biodiesel quality control: choice of the raw materials; reduction of cost; control of trans-esterification reaction; determination of the properties, quality, and contaminants of biodiesel |
[61,109,110] |
| Fungal strains, cyanobacteria, other microorganisms and plants; single cells and biofilms |
Compounds containing C=O groups | IR spectroscopy | Evaluating biosorption of copper, lead, and cadmium ions; control of bioremediation, biodegradation, and biomineralization |
[92,111,112,113,114,115] |
| Microorganisms, strains of microorganisms | Compounds (molecules) containing in microorganisms | IR spectroscopy | Rapid identification and classification of microorganisms | Reviewed in [33,116] |
| Agriculture: faeces and manure; agricultural products (including grains and milk) |
Compounds (molecules) containing in studied substances | NIR (mainly) and IR spectroscopy | Control the quality of agricultural products; control the quality of grain and food rations (including their composition, humidity, homogeneity, etc.); evaluate the composition of faeces and manure for the assessment of the digestion quality in animals and analysis of a stool composition; control of atmospheric emissions of ammonia, nitric oxide, methane, and other volatile organic compounds; control the environmental contamination (ammonia and greenhouse gases) |
[92,117,118,119,120,121] |
This entry is adapted from the peer-reviewed paper 10.3390/ijms24086947