Reactivity of (3-aminopropyl)trimethoxysilane with cellulose

2020 ◽  
Vol 109 ◽  
pp. 53-57
Author(s):  
Magdalena Woźniak ◽  
Izabela Ratajczak

Reactivity of (3-aminopropyl)trimethoxysilane with cellulose. The paper presents the results of tests for the reactivity of (3-aminopropyl)trimethoxysilane (APTMOS) with cellulose. The cellulose was treated with aqueous ethanolic solution of silane in two concentration: 5% and 20%. The reactivity of APTMOS with cellulose was analysed using instrumental methods: attenuated total reflectance Fourier transform infrared spectroscopy, atomic absorption spectrometry and elemental analysis. In the FTIR spectra of silane-treated cellulose, the bands of Si-O, Si-C and N-H bonds were detected. The analysis of silicon and nitrogen concentration in treated cellulose confirmed the presence of silane in cellulose structure. The presented results indicate that APTMOS forms chemical bonds with cellulose.

2020 ◽  
Vol 110 ◽  
pp. 5-8
Author(s):  
Marta Babicka ◽  
Magdalena Woźniak ◽  
Izabela Ratajczak

Organosilanes in wood protection – chemical analysis of wood and cellulose treated with MTMOS. The paper presents the results of methyltrimethoxysilane (MTMOS) reactivity with Scots pine wood and cellulose. The lignocellulosic material after treatment with ethanolic solution of MTMOS was analysed using instrumental methods – atomic absorption spectrometry (AAS) and attenuated total reflectance Fourier transform infrared spectroscopy (ATR-FTIR). The analysis of silicon concentration in treated material indicated the presence of silane in structure of wood and cellulose. The bands characteristic of vibrations of the silicon-carbon and silicon-oxygen originating from MTMOS molecule were observed in the spectra of modified materials, which confirmed the reactivity of silane with wood and cellulose. Moreover, the chemical analysis indicated that MTMOS exhibited higher reactivity to cellulose than to pine wood.


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.


The Analyst ◽  
2021 ◽  
Vol 146 (20) ◽  
pp. 6211-6219
Author(s):  
Hewa G. S. Wijesinghe ◽  
Dominic J. Hare ◽  
Ahmed Mohamed ◽  
Alok K. Shah ◽  
Patrick N. A. Harris ◽  
...  

ATR–FTIR with a machine learning model predicts ESBL genotype of unknown E. coli strains with 86.5% AUC.


Sign in / Sign up

Export Citation Format

Share Document