scholarly journals Algerian Bee Pollen Classification by Attenuated Total Reflectance Fourier Transform Infrared Spectroscopy (ATR-FTIR) Combined with Chemometrics Analysis

Author(s):  
Abdelkrim Rebiai

<p>Bee pollen is prepared themselves by pollens collecting from plants and has nutritive and therapeutic properties that make it attractive for human health. It has a typical composition related to the botanical origin and geographical location. This study aims to distinguish and identify bee pollen belonging to different Algerian regions and different plants. A methodology for the identification of pollen was developed based on Attenuated Total Reflectance Fourier transform infrared (ATR-FTIR) spectroscopy. This method is simple and fast where samples are not destroyed, also unsupervised statistical methods principal component analysis (PCA) and hierarchical clustering analysis (HCA) are performed. Seventy-two pollen samples were collected and the ATR-FTIR spectra were recorded without processing the samples. ATR-FTIR spectra analysis allowed a reliable determination of the components present in the different samples. Further, PCA and HCA were utilized to evaluate the differences and similarities between the collected samples. Indeed, the PCA score plot and HCA based on ATR-FTIR revealed the same discriminatory trend, where the samples were divided into three main classes based on their total bee pollen. As a result, the PCA along with the HCA was a good and consistent model for identifying and distinguishing pollen grains.</p>

2020 ◽  
Author(s):  
Abdelkrim Rebiai

<p>Bee pollen is prepared themselves by pollens collecting from plants and has nutritive and therapeutic properties that make it attractive for human health. It has a typical composition related to the botanical origin and geographical location. This study aims to distinguish and identify bee pollen belonging to different Algerian regions and different plants. A methodology for the identification of pollen was developed based on Attenuated Total Reflectance Fourier transform infrared (ATR-FTIR) spectroscopy. This method is simple and fast where samples are not destroyed, also unsupervised statistical methods principal component analysis (PCA) and hierarchical clustering analysis (HCA) are performed. Seventy-two pollen samples were collected and the ATR-FTIR spectra were recorded without processing the samples. ATR-FTIR spectra analysis allowed a reliable determination of the components present in the different samples. Further, PCA and HCA were utilized to evaluate the differences and similarities between the collected samples. Indeed, the PCA score plot and HCA based on ATR-FTIR revealed the same discriminatory trend, where the samples were divided into three main classes based on their total bee pollen. As a result, the PCA along with the HCA was a good and consistent model for identifying and distinguishing pollen grains.</p>


2016 ◽  
Vol 4 (Special-Issue-October) ◽  
pp. 54-62 ◽  
Author(s):  
Marianthi Basalekou ◽  
Argiro Stratidaki ◽  
Christos Pappas ◽  
Petros Tarantilis ◽  
Yorgos Kotseridis ◽  
...  

The assessment of wine authenticity is a critical issue that has gained a lot of interest internationally. A simple and fast method was developed for the varietal classification of Greek wines according to grape cultivar using attenuated total reflectance (ATR) Fourier transform infrared (FT-IR) spectroscopy. The phenolic content and color parameters of wine samples (n=88) made by two white (Vilana and Dafni) and two red (Kotsifali and Mandilari) grape varieties were measured and their FT-IR spectra were recorded. Principal Component Analysis (PCA) of their chemical parameters indicated that the wines can be discriminated based on their different phenolic content. The spectroscopic analysis combined with discriminant analysis of the fingerprint region of the spectra (1800-900 cm-1) resulted in complete discrimination of the grape varieties. The proposed method in comparison with the rest analytical methods is simpler, less time consuming, more economical and requires reduced quantities of chemical reagents prior to analysis.


Holzforschung ◽  
2020 ◽  
Vol 74 (3) ◽  
pp. 246-259
Author(s):  
Shahlinney Lipeh ◽  
Laurence R. Schimleck ◽  
Mark E. Mankowski ◽  
Armando G. McDonald ◽  
Jeffrey J. Morrell

AbstractWood extractives are considered the major factor determining the natural durability of wood. Attenuated total reflectance-Fourier transform infrared (ATR-FTIR) spectroscopy was assessed for rapid determination of western juniper (Juniperus occidentalis Hook. var. occidentalis) durability based on extractives in heartwood, sapwood-heartwood and sapwood regions. Durability was assessed by exposing samples to brown-rot decay fungi [Gloeophyllum trabeum (Pers.) Murrill and Rhodonia placenta (Fr.) Niemelä, K.H. Larss. & Schigel] or eastern subterranean termite (Reticulitermes flavipes Kollar). Durability classifications were compared to their extractive contents, along with ATR-FTIR spectra of extracted and unextracted blocks to establish relationships using hierarchical cluster analysis (HCA) and principal component analysis (PCA). Western juniper durability varied with test organisms, but the majority of samples had high fungal and termite resistance. Moderate to weak connections were observed between durability and extractive content, but HCA and PCA analysis were unable to classify durability with accuracy. The absence of non-resistant samples may have influenced the ability of the chemometric methods to accurately categorize durability.


Author(s):  
Firmansyah A. ◽  
Winingsih W. ◽  
Soebara Y S

Analysis of natural product remain challenging issues for analytical chemist, since natural products are complicated system of mixture. The most popular methods of choice used for quality control of raw material and finished product are high performance liquid chromatography (HPLC), gas chromatography (GC) and mass spectrometry (MS). The utilization of FTIR-ATR (Fourier Transform Infrared-Attenuated Total Reflectance) method in natural product analysis is still limited. This study attempts to expand the use of FTIR spectroscopy in authenticating Indonesian coffee powder.The coffee samples studied were taken from nine regions in Indonesia, namely Aceh Gayo, Flores, Kintamani, Mandheling, Papua, Sidikalang, Toraja, Kerinci and Lampung.The samples in the form of coffee bean from various regions were powdered . The next step conducted was to determine the spectrum using the FTIR-ATR (Attenuated Total Reflectance) using ZnSe crystal of 8000 resolution. Spectrum samples, then, were analyzed using chemometrics. The utilized chemometric model was the principal component analysis (PCA) and cluster analysis (CA). Based on the chemometric analysis, there are similarities between Aceh Gayo coffee with Toraja coffee, Mandailing coffee, Kintamani coffee and Flores coffee. Sidikalang coffee has a similarity to Flores coffee; Papua coffee has a similarity to Sidikalang coffee; Lampung coffee has a similarity to Sidikalang coffee, while Kerinci coffee has a similarity to Papua coffee.


2021 ◽  
pp. 002580242110109
Author(s):  
Sweety Sharma ◽  
Rito Chophi ◽  
Jaskirandeep Kaur Jossan ◽  
Rajinder Singh

The most important task in a criminal investigation is to detect and identify the recovered biological stains beyond reasonable scientific doubt and preserve the sample for further DNA analysis. In the light of this fact, many presumptive and confirmatory tests are routinely employed in the forensic laboratories to determine the type of body fluid. However, the currently used techniques are specific to one type of body fluid and hence it cannot be utilized to differentiate multiple body fluids. Moreover, these tests consume the samples in due process, and thus it becomes a great limitation especially considering the fact that samples are recovered in minute quantity in forensic cases. Therefore, such limitations necessitate the use of non-destructive techniques that can be applied simultaneously to all types of bodily fluids and allow sample preservation for further analysis. In the current work, attenuated total reflectance-Fourier transform infrared (ATR-FTIR) spectroscopy has been used to circumvent the aforementioned limitations. The important factors which could influence the detection of blood such as the effect of substrates, washing/chemical treatment, ageing, and dilution limits on the analysis of blood have been analysed. In addition, blood discrimination from non-blood substance (biological and non-biological in nature) has also been studied. Chemometric technique that is PCA–LDA has been used to discriminate blood from other body fluids and it resulted in 100% accurate classification. Furthermore, blood and non-blood substances including fake blood have also been classified into separate clusters with a 100% accuracy, sensitivity, and specificity. All-inclusive, this preliminary study substantiates the potential application of ATR-FTIR spectroscopy for the non-destructive identification of blood traces in simulated forensic casework conditions with 0% rate of false classification.


2021 ◽  
Vol 13 (13) ◽  
pp. 1601-1611
Author(s):  
Way Koon Teoh ◽  
Noor Zuhartini Md Muslim ◽  
Md Lukmi Ismail ◽  
Kah Haw Chang ◽  
Ahmad Fahmi Lim Abdullah

Quick determination and discrimination of commercial hand sanitisers for forensic investigation.


RSC Advances ◽  
2016 ◽  
Vol 6 (94) ◽  
pp. 92065-92072 ◽  
Author(s):  
Sónia Silva ◽  
Flávia Tobaldini-Valerio ◽  
Sofia Costa-de-Oliveira ◽  
Mariana Henriques ◽  
Joana Azeredo ◽  
...  

Accurate Candida species identification remains a challenge due to their phenotypic and genotypic similarity.


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