Electrochemical immunoplatform to assist in the diagnosis of oral cancer through the determination of CYFRA 21.1 biomarker in human saliva samples: Preparation of a novel portable biosensor toward non‐invasive diagnosis of oral cancer

2021 ◽  
Author(s):  
Fahimeh Bageri Tofighi ◽  
Arezoo Saadati ◽  
Houman Kholafazad‐kordasht ◽  
Fatemeh Farshchi ◽  
Mohammad Hasanzadeh ◽  
...  
Keyword(s):  
Oral Cancer ◽  
Human Saliva ◽  
Non Invasive ◽  
Portable Biosensor

scholarly journals Non-invasive determination of uric acid in human saliva in the diagnosis of serious disorders

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Andrea Vernerová ◽  
Lenka Kujovská Krčmová ◽  
Bohuslav Melichar ◽  
František Švec
Keyword(s):  
Uric Acid ◽  
Biological Fluids ◽  
Human Saliva ◽  
Medline Search ◽  
Non Invasive ◽  
The Past ◽  
Recent Trends ◽  
Pre Treatment ◽  
Single Publication

AbstractThis review summarizes and critically evaluates the published approaches and recent trends in sample pre-treatment, as well as both separation and non-separation techniques used for the determination of uric acid (UA) in saliva. UA is the final product of purine nucleotide catabolism in humans. UA concentrations in biological fluids such as serum, plasma, and urine represent an important biomarker of diseases including gout, hyperuricemia, or disorders associated with oxidative stress. Previous studies reported correlation between UA concentrations detected in saliva and in the blood. The interest in UA has been increasing during the past 20 years from a single publication in 2000 to 34 papers in 2019 according to MEDLINE search using term “uric acid in saliva”. The evaluation of salivary UA levels can contribute to non-invasive diagnosis of many serious diseases. Increased salivary UA concentration is associated with cancer, HIV, gout, and hypertension. In contrast, low UA levels are associated with Alzheimer disease, progression of multiple sclerosis, and mild cognitive impairment.

scholarly journals Spectrophotometry of Saliva of Oral Squamous CellCarcinoma Patients

2009 ◽  
Vol 6 (2) ◽  
pp. 373-378
Author(s):  
Baghdad Science Journal
Keyword(s):  
Squamous Cell Carcinoma ◽  
Oral Cancer ◽  
Oral Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Ir Spectrum ◽  
Human Saliva ◽  
Test Tube ◽  
Non Invasive ◽  
Back Ground

Back ground: Spectral analyses of solutions have long been applied to various body fluids for the purpose of clinical study as well as research .Human saliva can be easily obtained by non invasive .In this study typical spectra (for UV and IR) of saliva of oral cancer Squamous cell carcinoma patients were determined under average conditions and evaluated in relation to the spectra of normal specimens. Materials and Methods: Seventeen patients of oral cancer Squamous cell carcinoma and seventeen age matched healthy subject were included in this study .Chewing - Stimulated Saliva was collected in plastic test tube and stored at -20° C. Bach of saliva samples were used for UV and IR measurements. Results: Many differences between the IR spectrum of saliva of oral Squamous cell carcinoma patients and IR spectrum of normal saliva. Conclusion: The results in this study were detected that the use of IR spectroscopy may be useful in the diagnosis of oral Squamous cell carcinoma by using saliva samples.

scholarly journals Determination of lysosomal exoglycosidases in human saliva.

2014 ◽  
Vol 61 (1) ◽  
Author(s):  
Sylwia Chojnowska ◽  
Anna Zalewska ◽  
Małgorzata Knaś ◽  
Napoleon Waszkiewicz ◽  
Danuta Waszkiel ◽  
...  
Keyword(s):  
Synovial Fluid ◽  
Clinical Diagnosis ◽  
Human Saliva ◽  
Variation Coefficient ◽  
Optimal Conditions ◽  
Oral Diseases ◽  
Activity Determination ◽  
Non Invasive

Currently we observe a growing interest in human saliva as a non-invasive material for diagnosis and monitoring of general and oral diseases. The aim of our study was adaptation of the Marciniak et al. (Marciniak J, Zalewska A, Popko J, Zwierz K, 2006, Clin Chem Lab Med 44: 933-937) method for determination of HEX and GLU activity in synovial fluid, and for determination of: HEX and GLU, as well as MAN, GAL, and FUC activity in human saliva. Under optimal conditions, 10 μl of saliva for HEX, and 30 μl for GLU, MAN, GAL and FUC, were sufficient for determination of human salivary exoglycosidases activity with variation coefficient ranging from 0.89 for GLU to 0.99 for GAL. The adapted method for exoglycosidases activity determination in human saliva is sufficiently sensitive and precise to use in clinical diagnosis.

Bioimpedance Spectroscopy as a Non-invasive Method of Determination of the Hydration Status in Hemodialysis Patients

2010 ◽  
Vol 14 (2) ◽  
pp. 72-77
Author(s):  
J. Rosina ◽  
Jana Vranova ◽  
Ondrej Remes ◽  
Katarina Nehezova ◽  
I. Rychlik
Keyword(s):  
Hemodialysis Patients ◽  
Hydration Status ◽  
Bioimpedance Spectroscopy ◽  
Non Invasive ◽  
Method Of Determination ◽  
Invasive Method

INFLUENCE OF OFFICE BLEACHING SYSTEMS ON THE RESISTANCE OF HARD TOOTH TISSUES

2020 ◽  
pp. 119-125
Author(s):  
Magsumova O.A. ◽  
Postnikov M.A. ◽  
Ryskina E.A. ◽  
Tkach T.M. ◽  
Polkanova V.A.
Keyword(s):  
Informed Consent ◽  
Oral Fluid ◽  
Personal Data ◽  
Acid Resistance ◽  
Non Invasive ◽  
Hard Tissues ◽  
Voluntary Informed Consent

One of the non-invasive methods for treating discoloration of hard tooth tissues is teeth whitening. The aim of this work is to assess the dynamics of changes in the acid resistance of enamel and hard tissues of teeth and the rate of its remineralization after the procedure of office teeth whitening. The study involved 123 patients aged 18 to 35 years with discoloration of various origins, with the color of hard tooth tissues on the Vita Classic A2 scale and darker. Before performing the office, teeth whitening procedure, all patients gave their written voluntary informed consent to participate in this study, as well as consent to the processing of personal data. Depending on the chosen method of office teeth whitening, patients were divided into 3 groups. The resistance of hard tooth tissues was judged based on the determination of TOER and CASRE tests. These indicators were determined at various times (5 days before the office teeth whitening procedure, 5 days after it, after 14, 30 days and 6 months). Regardless of the chosen whitening system, the office teeth whitening procedure is accompanied by a decrease in the enamel's resistance to acids and a decrease in the rate of its remineralization. The remineralizing function of oral fluid promotes the positive dynamics of the studied parameters after 14 days and after 30 days values increased due to the appointment of remineralizing therapy to all patients in 2 weeks after the teeth whitening procedure. After 6 months, all patients had high enamel resistance and the rate of its remineralization.

Optimization of Extraction Parameters of Reverse Iontophoretic Determination of Blood Glucose in an Artificial Skin Model

2020 ◽  
Vol 16 (6) ◽  
pp. 722-737
Author(s):  
Cigdem Yengin ◽  
Emrah Kilinc ◽  
Fatma Gulay Der ◽  
Mehmet Can Sezgin ◽  
Ilayda Alcin
Keyword(s):  
Ionic Strength ◽  
Body Fluids ◽  
Extraction Time ◽  
Artificial Skin ◽  
Dialysis Membrane ◽  
Skin Model ◽  
Non Invasive ◽  
Electrode Distance ◽  
Experimental Parameters

Background: Reverse İontophoresis (RI) is one of the promising non-invasive technologies. It relies on the transition of low magnitude current through the skin and thus glucose measurement becomes possible as it is extracted from the surface during this porter current flow. Objective: This paper deals with the development and optimization of an RI determination method for glucose. CE dialysis membrane based artificial skin model was developed and the dependence of RI extraction on various experimental parameters was investigated. Method: Dependence of RI extraction performance on noble electrodes (platinum, silver, palladium, ruthenium, rhodium) was checked with CA, CV and DPV, in a wide pH and ionic strength range. Optimizations on inter-electrode distance, potential type and magnitude, extraction time, gel type, membrane MWCO, usage frequency, pretreatment, artificial body fluids were performed. Results: According to the optimized results, the inter-electrode distance was 7.0 mm and silver was the optimum noble metal. Optimum pH and ionic strength were achieved with 0.05M PBS at pH 7.4. Higher glucose yields were obtained with DPV, while CA and CV achieved almost the same levels. During CA, +0.5V achieved the highest glucose yield and higher potential even caused a decrease. Glucose levels could be monitored for 24 hours. CMC gel was the optimum collection media. Pretreated CE membrane with 12kD MWCO was the artificial skin model. Pretreatment affected the yields while its condition caused no significant difference. Except PBS solution (simulated as artificial plasma), among the various artificial simulated body fluids, intestinal juice formulation (AI) and urine formulation U2 were the optimum extraction media, respectively. Conclusion: In this study, various experimental parameters (pretereatment procedure, type and MWCO values of membranes, inter-electrode distance, electrode material, extraction medium solvents, ionic strength and pH, collection medium gel type, extraction potential type and magnitude, extraction time and etc) were optimized for the non-invasive RI determination of glucose in a CE dialysis membrane-based artificial skin model and various simulated artificial body fluids.

Determination of the thermal properties of leaves by non-invasive contact‑free laser probing

2016 ◽  
Vol 217 ◽  
pp. 100-108 ◽  
Author(s):  
J.F. Buyel ◽  
H.M. Gruchow ◽  
N. Tödter ◽  
M. Wehner
Keyword(s):  
Thermal Properties ◽  
Non Invasive ◽  
Laser Probing ◽  
Contact Free

scholarly journals Simulation study of a coincidence detection system for non-invasive determination of arterial blood time-activity curve measurements

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Yassine Toufique ◽  
Othmane Bouhali ◽  
Pauline Negre ◽  
Jim O’ Doherty
Keyword(s):  
Simulation Study ◽  
Detection System ◽  
Coincidence Detection ◽  
Time Activity ◽  
Time Activity Curve ◽  
Non Invasive ◽  
Arterial Blood ◽  
Activity Curve
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