Second Derivative Infrared Spectroscopy Research Articles

Comparison of non-volatile compounds of Penaeus vannemei with different drying treatments via multidimensional infrared spectroscopy

To analyze the effect of various drying treatments (microwave drying (MD), hot air drying (HAD), vacuum drying (VD), and vacuum freeze drying (VFD)) on taste compounds in Penaeus vannamei, relevant indicators such as free amino acids, 5′-nucleotides, and organic acids were performed. Multidimensional infrared spectroscopy (MM-IR) results found that there were notable variations in taste properties of P. vannamei. There were 18 autocorrelation peaks in 3400–900 cm−1 were screened using second-derivative infrared spectroscopy (SD-IR) and two-dimensional correlation infrared spectroscopy (2DCOS-IR). Variations in functional groups were the major contributors to taste profiles. The TAV of glutamic acid (Glu), guanine (GMP), and inosinemonphosphate (IMP) were greater than one and had notable impacts on taste profiles. VD had the highest equivalent umami value, followed by VFD, HAD, and MD. This study may provide a theoretical guide for the production of dried P. vannamei products on an industrial scale.

Differential Analysis of Korean and Chinese Lingzhi or Reishi Medicinal Mushroom Ganoderma lucidum (Agaricomycetes) Spore Powder by Infrared Spectroscopy with Stoichiometry.

To investigate the differences between Korean Ganoderma lucidum spore powder (KP), broken-spo-roderm KP (BSKP), Chinese traditional G. lucidum spore powder (CP), and broken-sporoderm CP (BSCP), they were identified by scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FT-IR), second derivative infrared spectroscopy (SD-IR), dual-index sequence analysis (DISA) and X-ray diffraction (XRD). SEM showed that there were no significant differences in microstructure between the two kinds of spore powders. FT-IR spectra showed that the four spore powders appeared with characteristic peaks of 3400, 3006, 2925, 1745, 1535, 1454, 1249, 1074, 1049, and 896 cm-1, respectively, they were contained the characteristic peaks of total triterpenes, polysaccharides and fatty acids. DISA showed that the same species of spore powders, the overall similarity of before and broken the sporoderm was high with minor differences and there were no differences between the different kinds of spore powders. Similarity analysis showed that the four spore powders were in high agreement and were no differences. The polysaccharide, total triterpene, spore oil and protein content of the four spore powders were determined separately. The results showed that the active ingredients content of the batch of KP were lower than that of CP, that of BSKP were lower than that of BSCP, while the active ingredients content of both broken-sporoderm spore powders were higher than that of before broken-sporoderm. It is inferred that the structure of the main chemical and component of KP is the same as that of CP. This study provides a reference for the future development and application of G. lucidum.

Fourier-Transform Infrared Spectroscopy for Discrimination of Cynomorium songaricum Inflorescence Samples from Different Origins

Cynomorium songaricum Rupr. has been used as a medicinal tonic in China for thousands of years. The Fourier-transform infrared (FT-IR) spectroscopy and second-derivative infrared (SD-IR) spectroscopy were used to study 200 samples of C. songaricum inflorescence collected at 20 sites in four different regions. A resemblance was found among the FT-IR spectra of samples from different origins and developed an IR fingerprint spectrum. The main absorption peaks in the range 1800-1200 cm-1 suggests that C. songaricum inflorescences may be rich in phenolic compounds, proteins and flavonoids. The SD-IR spectra of samples from different origins revealed an obvious intensity differences for peaks in the range 1800-1200 cm-1, especially for samples from Gansu province of China. An origin discrimination model based on principal component analysis is established. The prediction accuracy of the model is 87.25%. The results indicated that our origin discrimination model can differentiate production areas for C. songaricum.

Effect of frozen storage temperature on lipid stability of hepatopancreas of Eriocheir sinensis

In order to investigate and predict the quality of hepatopancreas of Eriocheir sinensis during frozen storage, fatty acid content, peroxide value (POV), acid value (AV) and anisidine value (AnV) were determined at −20, −40 and −80 °C, respectively. According to the investigative results, lipid oxidation indexes at −20 °C was higher than at −40 and −80 °C, and the degree of lipid oxidation was the least at −80 °C. In the meantime, the back propagation neural network with 10 neurons was developed to predict lipid stability of the samples during frozen storage with low MSE (0.00023) and high R2 (0.999). Besides, the changes to nutritional quality were evaluated using the index of atherogenesis (AI) and the index of thrombosis (TI). Furthermore, tri-step spectroscopy was applied to analyze and characterize the degree of lipid oxidation. The profile of characteristic peak was spatially revealed by the stereomicroscopy with group-peak at 2924 cm−1, 2854 cm−1, 1745 cm−1, 1641 cm−1, 1461 cm−1 and 1158 cm−1 and were unveiled by the second derivative infrared spectroscopy (SD-IR) for higher resolution, the samples stored at different temperatures were further identified through two-dimensional correlation infrared spectroscopy (2DCOS-IR).

Direct identification and quantitation of fluorescent whitening agent in wheat flour based on multi-molecular infrared (MM-IR) spectroscopy and stereomicroscopy

Fluorescent brighteners, illegally used to whitening wheat flour, are detrimental to people health. The aim was to establish a rapid and direct method to identify and quantify fluorescent whitening agent OB-1 (FWA OB-1) in wheat flour by using multi-molecular infrared (MM-IR) spectroscopy combined with stereomicroscopy. Characteristic peak profile of FWA OB-1 used as a judgment basis was spatially revealed by stereomicroscopy with group-peak matching of MM-IR at 1614 cm−1, 1501 cm−1 and 893 cm−1 and were further unveiled by the second derivative infrared spectroscopy (SD-IR) and its two-dimensional correlation infrared (SD-2DCOS IR) spectroscopy for higher resolution, and were validated by high-performance liquid chromatography (HPLC). Moreover, a quantitative prediction model based on IR spectra was established by partial least squares 1 (PLS1) (R2, 98.361; SEE, 5.032; SEP, 5.581). The developed method was applicable for rapid and direct analysis of FWA OB-1 (low to 10 ppm) in flour with relative standard deviation (RSD) of 5%. The capabilities of MM-IR with spectral qualitative and quantitative analysis would be applicable to direct identification and quantitation of fluorescent whitening agents or other IR-active compounds in powder objects.

Rapid discrimination of Chinese dry-cured hams based on Tri-step infrared spectroscopy and computer vision technology.

The aim of this study was to establish rapid and efficient methods based on a Tri-step infrared spectroscopy (Fourier transform infrared spectroscopy (FT-IR) integrated with second derivative infrared spectroscopy (SD-IR) and two-dimensional correlation infrared spectroscopy (2DCOS-IR)) and computer vision technology to identify and evaluate the quality of three Chinese dry-cured hams (Jinhua, Xuanwei and Rugao hams). 9 dry-cured hams (3 different quality grades of each geographical origin) had similar IR spectra. Nevertheless, they could be further discriminated visually by SD-IR and 2DCOS-IR spectra. All samples can be separated by the computer vision technology incorporated with Principal Component Analysis (PCA) and Cluster analysis (CA). This study not only preliminarily verified the possibility of using Tri-step infrared spectroscopy and computer vision technology to discriminate the geographical origins and quality grades of Chinese dry-cured hams, but also provided prospects of the application of infrared spectroscopy and computer vision technology to authenticate other meat products.

Comprehensive evaluation of wild Cordyceps cicadae from different geographical origins by TOPSIS method based on the macroscopic infrared spectroscopy (IR) fingerprint.

Cordyceps cicadae is an entomogenous fungus that has been used as a valuable traditional Chinese herbal tonic, however, it can be difficult to discern the false from the genuine. In this study, the macroscopic IR fingerprint methods containing Fourier transform infrared spectroscopy (FT-IR) and second derivative infrared spectroscopy (SD-IR) were used to elucidate wild C. cicadae. The TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method was used to comprehensively evaluate C. cicadae from different geographical origins based on the macroscopic infrared spectroscopy (IR) fingerprint. The FT-IR spectra of C. cicadae exhibited the major characteristics of the absorptive peaks of carbohydrates, lipids and nucleosides at the position of 3291, 2925, 2845, 1651, 1547, 1455, 1080 and 950 cm-1. The high resolution of SD-IR further amplified the difference and revealed the potentially characteristic IR absorption spectrum. TOPSIS evaluation showed that C. cicadae from Anhui possess the strongest intensity of absorption bands among all the samples. Notably, FT-IR combined with SD-IR can effectively reveal the overall chemical components without damaging medicinal materials, and TOPSIS methods can provide a novel scientific evidence for comprehensively assessing different origins of wild C. cicadae.

Enhanced chemical and spatial recognition of fish bones in surimi by Tri-step infrared spectroscopy and infrared microspectroscopic imaging

Surimi is an intermediate product with an increasing popularity worldwide. Discrimination of impurities like fish bones in surimi has become an urgent issue owing to the food safety and the improved requirements for assessment methods in identification of surimi quality and grades. A Tri-step infrared spectroscopy, including Fourier transform infrared spectroscopy (FT-IR), second derivative infrared spectroscopy (SD-IR) and two-dimensional correlation infrared spectroscopy (2DCOS-IR) has been applied to integrally discriminate different contents (1%–8%) of fish bones in surimi at macro-scale. Meanwhile, attenuated total reflection infrared spectroscopy (ATR-IR) microspectroscopic imaging has been employed to recognize and identify the location of fish bones (less than 1.0 mm in size) in micro-scale. Fishbone characteristic infrared absorption peak at 1011 cm−1 contributes to surimi peaks at 1045 cm−1 and 988 cm−1 confirmed by calculation of their peak heights and ratios of peak areas in original spectra. SD-IR spectra enhance the difference in range of 1440–500 cm−1, and specifically peak intensity at 599 cm−1 is significantly increased in surimi with 3%–8% fish bones. Moreover, 2DCOS-IR spectra reveal that surimi containing fish bones have increased intensity of auto-peaks at 525 cm−1, 519 cm−1, 512 cm−1 and 505 cm−1 mainly contributed by hydroxyapatite and collagen. In ATR-IR microspectroscopic images, a clear fishbone shape (800 × 200 μm) corresponding to its visible image is clearly observed in principal component (PC) score image, which is confirmed as a fish bone by corresponding pixel spectra. Furthermore, the single-wavenumber image shows the spatial chemical distribution of various components for both the fish bone and surimi. Consequently, fish bones can be integrally recognized by physical and chemical imaging manners. It has been demonstrated that the developed Tri-step infrared spectroscopy and ATR-IR microspectroscopic imaging could be applicable for rapidly recognizing impurities and adulterants in surimi.

Qualitative Identification and Semi-Quantitative Comparison of Sucrose in Maca (<i>Lepidium meyenii</i>) by Infrared Spectrum Analysis

Objective: In order to establish a method for qualitative identification and semi-quantitative comparison of sucrose in Macas by infrared spectral analysis. Methods: Six Maca samples with three color types and from two producing areas in Yunnan province (China) were collected. Fourier trans-form infrared spectroscopy (FTIR) of raw Maca, ethyl acetate extracts (EtOAc-E), alcohol extracts (EtOH-E) and extracted residues were recorded selectively. Comparative analysis and analysis-through-separation strategies were used to explore the FTIR analytical method for sucrose in Maca. Results: Sucrose was proved to be a component in the Lijiang purple Maca (LPM) sample by comparative analysis of FTIR and second derivative in-frared spectroscopy (SDIR) with sucrose as a reference substance. Relative higher content of sucrose might be responsible for the distinctive absorption character of FTIR from LPM. With the aid of comparative analysis and analysis-through-separation strategies, conclusions could be drawn that all of the six Maca samples in this research contained some sucrose more or less. Furthermore, relative content of sucrose in the LM was higher than those in HM in general. Conclusion: An infrared spectrum analysis method for qualitative identification and semi-quantitative comparison of sucrose in different Maca samples was developed. Compared with other analytical methods, the developed method shows unparalleled charm for its inherent merits of convenient, fast, low cost, visual, efficient et al.

Evaluation on the concentration change of paeoniflorin and glycyrrhizic acid in different formulations of Shaoyao-Gancao-Tang by the tri-level infrared macro-fingerprint spectroscopy and the whole analysis method

As a kind of common prescriptions, Shaoyao-Gancao-Tang (SGT) contains two Chinese herbs with four different proportions which have different clinical efficacy because of their various components. In order to investigate the herb-herb interaction mechanisms, we used the method of tri-level infrared macro-fingerprint spectroscopy to evaluate the concentration change of active components of four SGTs in this research. Fourier transform infrared spectroscopy (FT-IR) and Second derivative infrared spectroscopy (SD-IR) can recognize the multiple prescriptions directly and simultaneously. 2D-IR spectra enhance the spectral resolution and obtain much new information for discriminating the similar complicated samples of SGT. Furthermore, the whole analysis method from the analysis of the main components to the specific components and the relative content of the components may evaluate the quality of TCM better. Then we concluded that paeoniflorin and glycyrrhizic acid were the highest proportion in active ingredients in SGT-12:1 and the lowest one in SGT-12:12, which matched the HPLC-DAD results. It is demonstrated that the method composed by the tri-level infrared macro-fingerprint spectroscopy and the whole analysis can be applicable for effective, visual and accurate analysis and identification of very complicated and similar mixture systems of traditional Chinese medicine.

Characterization and identification of three kinds of wood class medicine by fourier transform infrared spectroscopy

Objective Using infrared spectroscopy to analyze three kinds of lignum Chinese medicine to provide a theoretical basis for the establishment of medicinal overall quality evaluation system. Methods Functional groups identification, Fourier Transform-infrared spectroscopy(FT-IR) and the second derivative infrared spectroscopy (SD-IR) could be applicable to analyze and identify the overall chemical composition of three kinds of lignum Chinese medicine. Results The main chemical components of Aquilariae Lignum Resinatum (ALR), Dalbergiae Odoriferae Lignum (DOL) and Sappan Lignum (SL) were cellulose, lignin and aromatics. The main chemical compositions of Sappan Lignum (SL) were cellulose, lignin and aromatics. The differences in FT-IR and SD-IR of DOL and SL indicated that they had different aromatic compounds. Conclusion Infrared spectroscopy can be used as a simple and accurate quality control method of three kinds of lignum Chinese medicine. Key words: Aquilaria agallocha; Dalbergia odorifera; Lignum sappan; Lignin; Cellulose; Fourier transform infrared spectroscopy; The second derivative infrared spectroscopy

Analysis and identification of two similar traditional Chinese medicines by using a three-stage infrared spectroscopy: Ligusticum chuanxiong, Angelica sinensis and their different extracts

Rhizoma Chuanxiong (CX) and Radix Angelica sinensis (DG) are very important Traditional Chinese Medicine (TCM) and usually used in clinic. They both are from the Umbelliferae family, and have almost similar chemical constituents with each other. It is complicated, time-consuming and laborious to discriminate them by using the chromatographic methods such as high performance liquid chromatography (HPLC) and gas chromatography (GC). Therefore, to find a fast, applicable and effective identification method for two herbs is urged in quality research of TCM. In this paper, by using a three-stage infrared spectroscopy (Fourier transform infrared spectroscopy (FT-IR), the second derivative infrared spectroscopy (SD-IR) and two-dimensional correlation infrared spectroscopy (2D-IR)), we analyzed and discriminated CX, DG and their different extracts (aqueous extract, alcoholic extract and petroleum ether extract). In FT-IR, all the CX and DG samples' spectra seemed similar, but they had their own unique macroscopic fingerprints to identify. Through comparing with the spectra of sucrose and the similarity calculation, we found the content of sucrose in DG raw materials was higher than in CX raw materials. The significant differences in alcoholic extract appeared that in CX alcoholic extract, the peaks at 1743 cm−1 was obviously stronger than the peak at same position in DG alcoholic extract. Besides in petroleum ether extract, we concluded CX contained much more ligustilide than DG by the similarity calculation. With the function of SD-IR, some tiny differences were amplified and overlapped peaks were also unfolded in FT-IR. In the range of 1100–1175 cm−1, there were six peaks in the SD-IR spectra of DG and the intensity, shape and location of those six peaks were similar to that of sucrose, while only two peaks could be observed in that of CX and those two peaks were totally different from sucrose in shape and relative intensity. This result was consistent with that of the FT-IR. Several undetected characteristic fingerprints in FT-IR and SD-IR spectra were further disclosed by 2D-IR spectra. In the range of 1120–1500 cm−1, the FT-IR spectra and the SD-IR spectra of aqueous extract of CX and DG were almost similar and hard to be discriminated, but the 2D-IR spectra were markedly different. These findings indicated that the three-stage infrared spectroscopy can identify not only the main compositions in these two medicinal materials and their different extracts, but also can compare the differences of categories and quantities of chemical constituents between the similar samples. In conclusion, the three-stage infrared spectroscopy could identify the two similar TCM (CX and DG) quickly and effectively.

Analysis of Chuanxiong Rhizoma and its active components by Fourier transform infrared spectroscopy combined with two-dimensional correlation infrared spectroscopy

As complicated mixture systems, active components of Chuanxiong Rhizoma are very difficult to identify and discriminate. In this paper, the macroscopic IR fingerprint method including Fourier transform infrared spectroscopy (FT-IR), the second derivative infrared spectroscopy (SD-IR) and two-dimensional correlation infrared spectroscopy (2DCOS-IR), was applied to study and identify Chuanxiong raw materials and its different segmented production of HPD-100 macroporous resin. Chuanxiong Rhizoma is rich in sucrose. In the FT-IR spectra, water eluate is more similar to sucrose than the powder and the decoction. Their second derivative spectra amplified the differences and revealed the potentially characteristic IR absorption bands and combined with the correlation coefficient, concluding that 50% ethanol eluate had more ligustilide than other eluates. Finally, it can be found from 2DCOS-IR spectra that proteins were extracted by ethanol from Chuanxiong decoction by HPD-100 macroporous resin. It was demonstrated that the above three-step infrared spectroscopy could be applicable for quick, non-destructive and effective analysis and identification of very complicated and similar mixture systems of traditional Chinese medicines.

Application of mid-infrared spectroscopy in analyzing different segmented production of Angelica by AB-8 macroporous resin

As complicated mixture systems, chemical components of Angelica are very difficult to identify and discriminate, so as not to control its quality effectively. In recent years, Mid-infrared spectroscopy has been innovatively employed to identify and assess the quality of Traditional Chinese medicine (TCM) products. In this paper, the macroscopic IR fingerprint method including Fourier transform infrared spectroscopy (FT-IR), the second derivative infrared spectroscopy (SD-IR) and two-dimensional correlation infrared spectroscopy (2D-IR), are applied to study and identify Angelica raw material, the decoction and different segmented production of AB-8 macroporous resin. FT-IR spectrum indicates that Angelica raw material is rich in sucrose and the correlation coefficient is 0.8465. The decoction of Angelica contains varieties of polysaccharides components and the content is gradually decreased with increasing concentration of ethanol. In addition, the decoction of Angelica contains a certain amount of protein components and 50% ethanol eluate has more protein than other eluates. Their second derivative spectra amplify the differences and reveal the potentially characteristic IR absorption bands, then we conclude that the decoction of Angelica contains a certain amount of ferulic acid and ligustilide. And 30% ethanol eluate, 50% ethanol eluate and 70% ethanol eluate are similar to ligustilide. Further, 2D-IR spectra enhance the spectral resolution and obtain much new information for discriminating the similar complicated samples. It is demonstrated that the above three-step infrared spectroscopy could be applicable for effective, visual and accurate analysis and identification of very complicated and similar mixture systems of traditional Chinese medicines.

Rapid analysis and quantification of fluorescent brighteners in wheat flour by Tri-step infrared spectroscopy and computer vision technology

Fluorescent brightener, industrial whitening agent, has been illegally used to whitening wheat flour. In this article, computer vision technology (E-eyes) and colorimetry were employed to investigate color difference among different concentrations of fluorescent brightener in wheat flour using DMS as an example. Tri-step infrared spectroscopy (Fourier transform-infrared spectroscopy coupled with second derivative infrared spectroscopy (SD-IR) and two dimensional correlation infrared spectroscopy (2DCOS-IR)) was used to identify and quantitate DMS in wheat flour. According to color analysis, the whitening effect was significant when added with less than 30 mg/g DMS but when more than 100 mg/g, the flour began greenish. Thus it was speculated that the concentration of DMS should be below 100 mg/g in real flour adulterant with DMS. With the increase of the concentration, the spectral similarity of wheat flour with DMS to DMS standard was increasing. SD-IR peaks at 1153 cm−1, 1141 cm−1, 1112 cm−1, 1085 cm−1 and 1025 cm−1 attributed to DMS were regularly enhanced. Furthermore, it could be differentiated by 2DOS-IR between DMS standard and wheat flour added with DMS low to 0.05 mg/g and the bands in the range of 1000–1500 cm−1 could be an exclusive range to identify whether wheat flour contained DMS. Finally, a quantitative prediction model based on IR spectra was established successfully by Partial least squares (PLS) with a concentration range from 1 mg/g to 100 mg/g. The calibration set gave a determination coefficient of 0.9884 with a standard error (RMSEC) of 5.56 and the validation set presented a determination coefficient of 0.9881 with a standard error of 5.73. It was demonstrated that computer vision technology and colorimetry were effective to estimate the content of DMS in wheat flour and the Tri-step infrared macro-fingerprinting combined with PLS was applicable for rapid and nondestructive fluorescent brightener identification and quantitation.

Analysis of fingerprints features of infrared spectra of various processed products of Rhizoma Coptidis and their different extracts

Fourier transform infrared spectroscopy (FT-IR) associated with second derivative infrared spectroscopy (SD-IR) and two-dimensional correlation infrared spectroscopy (2D-IR) are employed to analyze various processed products and different extracts of Rhizoma Coptidis. There is a shift of the peak of 1641cm−1 of raw Rhizoma Coptidis after processed, which drifts to lower wave number. Peaks at 1508, 1387, 1363, 1332, 1274 and 1234cm−1 barely change in most samples, except an obvious enhancement of these peaks after processed, suggesting that processed Rhizoma Coptidis may have higher content of berberine than raw material, which is corresponding to the results of correlation coefficients analysis. There are some differences in the absorption peaks in the range of 1800–1000cm−1 in the SD-IR spectra, which have better resolution, of different processed products. 2D-IR spectra, which elevate the resolution further, can present more differences among the products in the range of 1300–800cm−1 and 1800–1300cm−1. Analysis of aqueous, ethanol and petroleum ether extracts of various processed products proves that there are distinctive differences of all auto-peaks in shapes and intensities in all of them. With the advantages of high resolution, high speed and convenience, FT-IR combined with 2D-IR can quickly and precisely distinguish various processed products of Rhizoma Coptidis and can be applied to predict the tendency of transformation of the complicated chemical mixture systems under heat perturbation.

Analysis and discrimination of ten different sponges by multi-step infrared spectroscopy

Abstract In this study, a convenient method using multi-step infrared spectroscopy, including Fourier transform infrared spectroscopy (FT-IR), second derivative infrared spectroscopy (SD-IR) and two-dimensional correlation infrared spectroscopy (2DCOS-IR), was employed to analyze and discriminate ten marine sponges from two classes collected from the Xisha Islands in the South China Sea. Each sponge had an exclusive macroscopic fingerprint. From the IR spectra, it was noted that the main ingredient of calcareous sponges was calcium carbonate, but that of demosponges was proteins. For sponges from the same genus or having highly similar chemical profile (IR spectral profile), SD-IR and 2DCOS-IR were applied to successfully reveal the tiny differences. It was demonstrated that the multi-step infrared spectroscopy was a feasible and objective approach for marine sponge identification.

Rapid discrimination of cultivated Codonopsis lanceolata in different ages by FT-IR and 2DCOS-IR

Deodeok (Codonopsis lanceolata) root, a traditional Chinese herbal medicine, has been used to treat lung ailments, rheumatism, menstrual disturbance and bruises with a long history in China and some other Asian countries. In this study, four types of Deodeok with different growth years were discriminated and identified by a Tri-step infrared spectroscopy method (Fourier transform-infrared spectroscopy (conventional FT-IR) coupled with second derivative infrared spectroscopy (SD-IR) and two dimensional correlation infrared spectroscopy(2DCOS-IR) under thermal perturbation. Although only small differences were found in the FT-IR spectra of the samples, the positions and intensities of peaks around 1736, 1634, 1246, 1055, 1033, 818, 779cm−1 could be considered as the key factors for discriminating them. The differences among them were amplified by their SD-IR spectra. The 2DCOS-IR spectra provided obvious dynamic chemical structure information of Deodeok samples, which present different particular auto peak clusters in the range of 875–1130cm−1 and 1170–1630cm−1, respectively. It was demonstrated that the content of triterpene were decreasing when C. lanceolata were growing older, but the relative content of saccharides initially increased and decreased significantly afterwards. It indicated a general trend that the content of polysaccharides accumulated with increasing years. Specifically, the content of polysaccharides accumulated in the root of 2-year-old plant was the lowest, 4-years-old was the highest, and then the content decreased gradually. Furthermore, according to the differences of locations and intensities of auto-peaks in 2D-IR spectra, the integral changes of components were revealed. This study offers a promising method inherent with cost-effective and time-saving to characterize and discriminate the complicated system like Deodeok.

Rapid discrimination of china sponges by Tri-step infrared spectroscopy: A preliminary study

Trip-step infrared spectroscopy, Fourier transform infrared spectroscopy combined with second derivative infrared spectroscopy (SD-IR) and two-dimensional correlation infrared spectroscopy (2DCOS-IR), was employed to characterize and discriminate nine China sponges. Sponges from different classes and different orders had respective unique IR macro-fingerprints. Their IR spectra suggested that the prime ingredient of calcareous sponges was calcium carbonate in calcite and/or aragonite forms, but that of demosponges was protein. Particularly, the sponges from the same genus which could not be identified by traditional spicule identification have been definitely discriminated. For sponges having highly similar chemical profile (IR spectral profile), SD-IR and 2DCOS-IR have been applied to enhance the spectral resolution to distinguish the sponges convincingly.

Analysis and identification of two reconstituted tobacco sheets by three-level infrared spectroscopy

Two kinds of reconstituted tobacco (RT) from France (RTF) and China (RTC) were analyzed and identified by a three-level infrared spectroscopy method (Fourier-transform infrared spectroscopy (FT-IR) coupled with second derivative infrared spectroscopy (SD-IR) and two-dimensional infrared correlation spectroscopy (2D-IR)). The conventional IR spectra of RTF parallel samples were more consistent than those of RTC according to their overlapped parallel spectra and IR spectra correlation coefficients. FT-IR spectra of both two RTs were similar in holistic spectral profile except for small differences around 1430cm−1, indicating that they have similar chemical constituents. By analysis of SD-IR spectra of RTFs and RTCs, more distinct fingerprint features, especially peaks at 1106 (1110), 1054 (1059) and 877 (874)cm−1, were disclosed. Even better reproducibility of five SD-IR spectra of RTF in 1750–1400cm−1 could be seen intuitively from their stacked spectra and could be confirmed by further similarity evaluation of SD-IR spectra. Existence of calcium carbonate and calcium oxalate could be easily observed in two RTs by comparing their spectra with references. Furthermore, the 2D-IR spectra provided obvious, vivid and intuitive differences of RTF and RTC. Both two RTs had a pair of strong positive auto-peaks in 1600–1400cm−1. Specifically, the autopeak at 1586cm−1 in RTF was stronger than the one around 1421cm−1, whereas the one at 1587cm−1 in RTC was weaker than that at 1458cm−1. Consequently, the RTs of two different brands were analyzed and identified thoroughly and RTF had better homogeneity than RTC. As a result, three-level infrared spectroscopy method has proved to be a simple, convenient and efficient method for rapid discrimination and homogeneousness estimation of RT.