scholarly journals ATR-FTIR Spectrum Analysis of Saliva Samples from COVID-19 Positive Patients

2021 ◽  
Author(s):  
Adriana Martinez-Cuazitl ◽  
Gustavo Vazquez-Zapien ◽  
Miguel Sanchez-Brito ◽  
Jorge Limon-Pacheco ◽  
Melissa Guerrero-Ruiz ◽  
...  
Keyword(s):  
Ftir Spectroscopy ◽  
Attenuated Total Reflection ◽  
Vibrational Modes ◽  
The Novel ◽  
Spectra Analysis ◽  
Blood Tests ◽  
Potential Indicator ◽  
Biological Hazard ◽  
New Diagnosis ◽  
Written Informed Consent

Abstract The coronavirus disease 2019 (COVID-19) is the latest biological hazard for the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Numerous diagnostic tests for SARS-CoV-2 have been used, which are expensive and require specialized personal. So, new diagnosis strategies are being developed, looking for less expensive methods which could be used as screening for better spread control. Many researchers have described the use of saliva as a potential indicator of COVID-19, and even the same patient could carry out its collection. In this sense, this study aimed to establish specific salivary vibrational modes analyzed by attenuated total reflection-Fourier transform infrared (ATR-FTIR) spectroscopy to detect COVID-19 biological fingerprints that allow the discrimination between COVID-19 and healthy patients. Previous written informed consent, clinical dates, laboratories, and saliva samples of COVID-19 patients (n = 255) and healthy persons (n = 1209) were obtained and analyzed through ATR-FTIR spectroscopy. Then, a multivariate linear regression model (MLRM) was developed. The COVID-19 patients showed low SaO2, cough, dyspnea, headache, and fever principally. Obesity was the main comorbidity. Various laboratory blood tests were altered. In the FTIR spectra analysis, changes in amide I and immunoglobulin regions were evidenced, and the MLRM showed clear discrimination between both groups. Specific salivary vibrational modes employing ATR-FTIR spectroscopy were established; moreover, the COVID-19 biological fingerprint in saliva was characterized, allowing the detection for COVID-19 using an MLRM, once it helps to reduce the number of variables, which could be helpful in the future development of diagnostic devices in a faster and cheaper way.

scholarly journals ATR-FTIR spectrum analysis of saliva samples from COVID-19 positive patients

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Adriana Martinez-Cuazitl ◽  
Gustavo J. Vazquez-Zapien ◽  
Miguel Sanchez-Brito ◽  
Jorge H. Limon-Pacheco ◽  
Melissa Guerrero-Ruiz ◽  
...  
Keyword(s):  
Ftir Spectroscopy ◽  
Attenuated Total Reflection ◽  
Vibrational Modes ◽  
The Novel ◽  
C Reactive Protein ◽  
Spectra Analysis ◽  
Reactive Protein ◽  
Blood Tests ◽  
Biological Hazard ◽  
New Diagnosis

AbstractThe coronavirus disease 2019 (COVID-19) is the latest biological hazard for the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Even though numerous diagnostic tests for SARS-CoV-2 have been proposed, new diagnosis strategies are being developed, looking for less expensive methods to be used as screening. This study aimed to establish salivary vibrational modes analyzed by attenuated total reflection-Fourier transform infrared (ATR-FTIR) spectroscopy to detect COVID-19 biological fingerprints that allow the discrimination between COVID-19 and healthy patients. Clinical dates, laboratories, and saliva samples of COVID-19 patients (N = 255) and healthy persons (N = 1209) were obtained and analyzed through ATR-FTIR spectroscopy. Then, a multivariate linear regression model (MLRM) was developed. The COVID-19 patients showed low SaO2, cough, dyspnea, headache, and fever principally. C-reactive protein, lactate dehydrogenase, fibrinogen, d-dimer, and ferritin were the most important altered laboratory blood tests, which were increased. In addition, changes in amide I and immunoglobulin regions were evidenced in the FTIR spectra analysis, and the MLRM showed clear discrimination between both groups. Specific salivary vibrational modes employing ATR-FTIR spectroscopy were established; moreover, the COVID-19 biological fingerprint in saliva was characterized, allowing the COVID-19 detection using an MLRM, which could be helpful for the development of new diagnostic devices.

Identification and Quantification of Metamizole in Traditional Herbal Medicines using Spectroscopy FTIR-ATR combined with Chemometrics

2021 ◽  
pp. 4413-4419
Author(s):  
Dharmastuti Cahya Fatmarahmi ◽  
Ratna Asmah Susidarti ◽  
Respati Tri Swasono ◽  
Abdul Rohman
Keyword(s):  
Discriminant Analysis ◽  
Herbal Medicine ◽  
Ftir Spectroscopy ◽  
Herbal Medicines ◽  
Principal Component ◽  
Attenuated Total Reflection ◽  
Partial Least Square ◽  
Least Square ◽  
Partial Least Square Regression ◽  
Precision Data

The study aims to develop an effective, efficient, and reliable method using Fourier Transform Infrared (FTIR) spectroscopy with Attenuated Total Reflection (ATR) combined with chemometric for identifying the synthetic drug in Indonesian herbal medicine known as Jamu. Jamu powders, Metamizole, and the binary mixture of Jamu and Metamizole were measured using FTIR-ATR at the mid-infrared region (4000-650 cm-1). The obtained spectra profiles were further analyzed by Principal Component Analysis, Partial Least Square Regression, Principal Component Regression, and Discriminant Analysis. Jamu Pegel Linu (JPL), Jamu Encok (JE), Jamu Sakit Pinggang (JSP), Metamizole (M), and adulterated Jamu by Metamizole were discriminated well on PCA score plot. PLSR and PCR showed the accuracy and precision data to quantify JPL, JE, and JSP, and each adulterated by M with R2 value > 0,995 and low value of RMSEC and RMSEP. Discriminant Analysis (DA) was successfully grouping Jamu and Metamizole without any misclassification. A combination of FTIR spectroscopy and chemometrics offered useful tools for detecting Metamizole in traditional herbal medicine.

“In situ” observation of the role of chloride ion binding to monkey green sensitive visual pigment by ATR-FTIR spectroscopy

2018 ◽  
Vol 20 (5) ◽  
pp. 3381-3387 ◽  
Author(s):  
Kota Katayama ◽  
Yuji Furutani ◽  
Masayo Iwaki ◽  
Tetsuya Fukuda ◽  
Hiroo Imai ◽  
...  
Keyword(s):  
Spectroscopic Study ◽  
Ftir Spectroscopy ◽  
Visual Pigment ◽  
Chloride Ion ◽  
Ion Binding ◽  
In Situ Observation ◽  
The Novel ◽  
Long Wavelength

ATR-FTIR spectroscopic study elucidates the novel role of Cl−-binding in primate long-wavelength-sensitive (LWS) visual pigment.

Rapid Quantification of Bone Collagen Content by ATR-FTIR Spectroscopy

Radiocarbon ◽  
2016 ◽  
Vol 58 (1) ◽  
pp. 131-145 ◽  
Author(s):  
M Lebon ◽  
I Reiche ◽  
X Gallet ◽  
L Bellot-Gurlet ◽  
A Zazzo
Keyword(s):  
Ftir Spectroscopy ◽  
Sampling Strategy ◽  
Attenuated Total Reflection ◽  
Collagen Content ◽  
Bone Collagen ◽  
Archaeological Material ◽  
Archaeological Collections ◽  
The Impact ◽  
Isotope Analyses ◽  
Partial Destruction

AbstractExpensive and time-consuming preparation procedures for radiocarbon and stable isotope analyses can be conducted on archaeological bone samples even if no collagen is preserved. Such unsuccessful preparation can lead to the partial destruction of valuable archaeological material. Establishing a rapid prescreening method for evaluating the amount of bone collagen while minimizing the impact of sampling constitutes a challenge for the preservation of archaeological collections. This study proposes and discusses a new methodology to detect and quantify collagen content in archaeological bone samples by attenuated total reflection Fourier transform infrared (ATR-FTIR) spectroscopy. A total of 42 Pleistocene to modern bone samples were selected according to their nitrogen content measured using an elemental analyzer. Comparison of collagen content estimation using ATR-FTIR and mass spectrometry reveals that some of the studied samples are contaminated by a nitrogen source coming from the burial environment. Two different FTIR calibration approaches were tested on the uncontaminated samples: peak-to-peak ratio and multivariate regression (PLS). The two approaches yield similar results with a good correlation of ATR-FTIR analyses and N wt% from 0.7 to 4wt% (R²=0.97–0.99; standard error of estimation ±0.22 to 0.25wt%). While collagen content remains difficult to detect in poorly preserved bones (less than ~3wt%), ATR-FTIR analysis can be a fast alternative for sample screening to optimize the sampling strategy and avoid partial destruction of valuable samples that do not contain enough collagen for further analysis.

scholarly journals An indirect analytical approach based on ATR-FTIR spectroscopy for determining the FFA content in vegetable oils

RSC Advances ◽  
2020 ◽  
Vol 10 (40) ◽  
pp. 24073-24078
Author(s):  
Yaoyao Dong ◽  
Shaoxia Shi ◽  
Qi Li ◽  
Lingyan Zhang ◽  
Xiuzhu Yu
Keyword(s):  
Fourier Transform ◽  
Fatty Acid ◽  
Free Fatty Acid ◽  
Ftir Spectroscopy ◽  
Vegetable Oils ◽  
Analytical Approach ◽  
Fourier Transform Infrared ◽  
Total Reflection ◽  
Attenuated Total Reflection ◽  
Novel Approach

In this study, we developed a novel approach for determining a free fatty acid (FFA) in vegetable oils using attenuated total reflection Fourier transform infrared (ATR-FTIR) spectroscopy.

In situ attenuated total reflection-Fourier transform infrared (ATR-FTIR) spectroscopy combined with non-negative matrix factorization for investigating the synthesis reaction mechanism of 3-amino-4-amino-oxime furazan

2018 ◽  
Vol 10 (48) ◽  
pp. 5817-5822 ◽  
Author(s):  
Tianlong Zhang ◽  
Ting He ◽  
Chunhua Yan ◽  
Xinyu Gao ◽  
Junxiu Ma ◽  
...  
Keyword(s):  
Fourier Transform ◽  
Reaction Mechanism ◽  
Ftir Spectroscopy ◽  
Matrix Factorization ◽  
Fourier Transform Infrared ◽  
Total Reflection ◽  
Attenuated Total Reflection ◽  
Synthesis Reaction ◽  
Non Negative Matrix Factorization

In situ ATR-FTIR combined with non-negative matrix factorization for investigating the synthesis reaction mechanism of 3-amino-4-aminoximefurazan.

scholarly journals Structural Study on Fat Crystallization Process Heterogeneously Induced by Graphite Surfaces

Molecules ◽  
2020 ◽  
Vol 25 (20) ◽  
pp. 4786
Author(s):  
Fumitoshi Kaneko ◽  
Yoshinori Yamamoto ◽  
Shinichi Yoshikawa
Keyword(s):  
Sampling Method ◽  
Layer Structure ◽  
Thermal Fluctuations ◽  
Attenuated Total Reflection ◽  
Graphite Surface ◽  
Fat Crystallization ◽  
Organic Crystals ◽  
The Novel ◽  
Β Phase ◽  
Hydrocarbon Chains

Some inorganic and organic crystals have been recently found to promote fat crystallization in thermodynamically stable polymorphs, though they lack long hydrocarbon chains. The novel promoters are talc, carbon nanotube, graphite, theobromine, ellagic acid dihydrate, and terephthalic acid, among which graphite surpasses the others in the promotion effect. To elucidate the mechanism, we investigated the influence of graphite surfaces on the crystallization manner of trilaurin in terms of crystal morphology, molecular orientation, and crystallographic features. Polarized optical microscopy, cryo-scanning electron microscopy, synchrotron X-ray diffractometry, and polarized Fourier-transform infrared spectroscopy combined with the attenuated total reflection sampling method were employed for the analyses. All the results suggested that the carbon hexagonal network plane of graphite surfaces have a high potential to facilitate the clustering of fat molecules against high thermal fluctuations in fat melt, the fat molecules form a layer structure parallel to the graphite surface, and the clusters tend to grow into thin plate crystals of the β phase at the temperatures corresponding to low supercooling. The β′ phase also has a larger chance to grow on the graphite surface as supercooling increases.

scholarly journals ATR-FTIR Spectroscopy, a New Non-Destructive Approach for the Quantitative Determination of Biogenic Silica in Marine Sediments

Molecules ◽  
2019 ◽  
Vol 24 (21) ◽  
pp. 3927 ◽  
Author(s):  
Dora Melucci ◽  
Alessandro Zappi ◽  
Francesca Poggioli ◽  
Pietro Morozzi ◽  
Federico Giglio ◽  
...  
Keyword(s):  
Ftir Spectroscopy ◽  
Marine Sediments ◽  
Biogenic Silica ◽  
Standard Addition ◽  
Silica Content ◽  
Attenuated Total Reflection ◽  
Sediment Samples ◽  
Analyte Signal ◽  
Micro Organisms ◽  
Non Destructive

Biogenic silica is the major component of the external skeleton of marine micro-organisms, such as diatoms, which, after the organisms death, settle down onto the seabed. These micro-organisms are involved in the CO2 cycle because they remove it from the atmosphere through photosynthesis. The biogenic silica content in marine sediments, therefore, is an indicator of primary productivity in present and past epochs, which is useful to study the CO2 trends. Quantification of biosilica in sediments is traditionally carried out by wet chemistry followed by spectrophotometry, a time-consuming analytical method that, besides being destructive, is affected by a strong risk of analytical biases owing to the dissolution of other silicatic components in the mineral matrix. In the present work, the biosilica content was directly evaluated in sediment samples, without chemically altering them, by attenuated total reflection Fourier transform infrared (ATR-FTIR) spectroscopy. Quantification was performed by combining the multivariate standard addition method (MSAM) with the net analyte signal (NAS) procedure to solve the strong matrix effect of sediment samples. Twenty-one sediment samples from a sediment core and one reference standard sample were analyzed, and the results (extrapolated concentrations) were found to be comparable to those obtained by the traditional wet method, thus demonstrating the feasibility of the ATR-FTIR-MSAM-NAS approach as an alternative method for the quantification of biosilica. Future developments will cover in depth investigation on biosilica from other biogenic sources, the extension of the method to sediments of other provenance, and the use higher resolution IR spectrometers.

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