scholarly journals Glucose Sensing in Human Whole Blood Based on Near-Infrared Phosphors and Outlier Treatment with the Programming Language “R”

ACS Omega ◽  
2021 ◽  
Author(s):  
Hsia-An Lee ◽  
Peng-Yi Lin ◽  
Anastasia I. Solomatina ◽  
Igor O. Koshevoy ◽  
Sergey P. Tunik ◽  
...  
Keyword(s):  
Programming Language ◽  
Whole Blood ◽  
Near Infrared ◽  
Glucose Sensing ◽  
Human Whole Blood

Near-infrared Raman spectroscopy of human whole blood and serum

1997 ◽  
Author(s):  
Andrew J. Berger ◽  
Irving Itzkan ◽  
Michael S. Feld
Keyword(s):  
Raman Spectroscopy ◽  
Whole Blood ◽  
Near Infrared ◽  
Human Whole Blood

Biomineralization synthesis of a near-infrared fluorescent nanoprobe for direct glucose sensing in whole blood

Nanoscale ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 864-870 ◽  
Author(s):  
Honghua Deng ◽  
Huiqiong Liu ◽  
Wenyuan Kang ◽  
Chunyang Lei ◽  
Zhou Nie ◽  
...  
Keyword(s):  
Whole Blood ◽  
Near Infrared ◽  
Glucose Sensing ◽  
Fluorescent Nanoprobe

A near-infrared fluorescent nanoprobe based on protein-templated biomineralization synthesis is presented for direct glucose sensing in whole blood.

Determination of Hemoglobin in Human Whole Blood Using Near-Infrared Spectroscopy with Stability

2012 ◽  
Vol 566 ◽  
pp. 660-663
Author(s):  
Zhen Yao Liu ◽  
Tao Pan
Keyword(s):  
Whole Blood ◽  
Near Infrared ◽  
Nir Spectroscopy ◽  
Short Wave ◽  
Blood Samples ◽  
Human Whole Blood ◽  
Modeling Process ◽  
High Prediction ◽  
Validation Set

Near-infrared (NIR) spectroscopy combined with the partial least-squares (PLS) regression was successfully applied for the rapid quantitative analysis of hemoglobin (HGB) based on human whole blood samples. Based on the varied divisions for the calibration and prediction sets, an appropriate waveband with stability was selected through a rigorous modeling process. Among 215 samples, 80 were randomly selected as the validation set. The remaining 135 samples were divided into the calibration set (80 samples) and the prediction set (55 samples) for a total of 200 times with certain similarities. The selected waveband was the combination of visible and short-wave NIR region at 400 nm to 1100 nm. The optimal PLS factor was 8, the modeling effect M-SEPAve, M-RP,Ave, M-SEPStd and M-RP,Std were 2.88gL-1, 0.986, 0.34gL-1 and 0.003, respectively, the validation effect V-SEP, V-RP and V-RSEP were 2.92gL-1, 0.986 and 2.26%, respectively. The results indicated that the method has high prediction precision and well stability. It is hopeful to be applied to clinic.

scholarly journals Monocyte CD163 and CD36 Expression in Human Whole Blood and Isolated Mononuclear Cell Samples: Influence of Different Anticoagulants

2006 ◽  
Vol 13 (6) ◽  
pp. 704-707 ◽  
Author(s):  
Marcin Moniuszko ◽  
Krzysztof Kowal ◽  
Malgorzata Rusak ◽  
Miroslawa Pietruczuk ◽  
Milena Dabrowska ◽  
...  
Keyword(s):  
Density Gradient ◽  
Mononuclear Cell ◽  
Whole Blood ◽  
Cell Isolation ◽  
Scavenger Receptors ◽  
Published Data ◽  
Healthy Individuals ◽  
Human Whole Blood ◽  
Cd36 Expression

ABSTRACT We investigated whether the choice of anticoagulant or the application of density gradient mononuclear cell isolation may account for conflicting published data regarding the levels of the scavenger receptors' expression in healthy individuals. We demonstrate that the detection of CD163, but not CD36, differs dramatically among the methods.

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