In situ and real-time monitoring of an ultrasonic-assisted enzymatic hydrolysis process of corn gluten meal by a miniature near infrared spectrometer

2017 ◽  
Vol 9 (25) ◽  
pp. 3795-3803 ◽  
Author(s):  
Lin Luo ◽  
Yanyan Zhang ◽  
Kai Wang ◽  
Haile Ma ◽  
Mingsheng Dong
Keyword(s):  
Enzymatic Hydrolysis ◽  
Real Time ◽  
Near Infrared ◽  
Corn Gluten Meal ◽  
Hydrolysis Process ◽  
Corn Gluten ◽  
Ultrasonic Assisted ◽  
Infrared Spectrometer ◽  
Near Infrared Spectrometer

Ultrasound treatment during proteolysis could facilitate enzymatic hydrolysis.

Near-Infrared Spectrometer Optical Sensor Driving and Peripheral Circuit Design

2013 ◽  
Vol 437 ◽  
pp. 674-677 ◽  
Author(s):  
Xiao Qing Deng ◽  
Jie Liu ◽  
Zhi Hong Wang
Keyword(s):  
Real Time ◽  
Circuit Design ◽  
Optical Sensors ◽  
Optical Sensor ◽  
Near Infrared ◽  
External Circuit ◽  
Software Simulation ◽  
Linear Ccd ◽  
Infrared Spectrometer ◽  
Near Infrared Spectrometer

In order to achieve Near-infrared spectrometer the feature of real-time capture and analysis in real time, CCD is used on the optical sensors. It has done a software simulation and hardware implementation.This paper presents the method of using VHDL for the solution of the linear CCD driving. Then, the external circuit is designed and the differential amplification processing to the output of the liner CCD is done in this paper. The results show that the system can correct drive,and the signal is displayed correctly. It needs only 2.5ms to complete a scany period in the 16MHZ crystal. The greater frequency of crystal,the shorter a scany period. The design is easy to understand. It has a great space to the behind application.

On-Line Near-Infrared Spectrometer to Monitor Urea Removal in Real Time during Hemodialysis

2008 ◽  
Vol 62 (8) ◽  
pp. 866-872 ◽  
Author(s):  
David S. Cho ◽  
Jonathon T. Olesberg ◽  
Michael J. Flanigan ◽  
Mark A. Arnold
Keyword(s):  
Real Time ◽  
Near Infrared ◽  
Infrared Spectrometer ◽  
On Line ◽  
Near Infrared Spectrometer

Near-Infrared Off-Axis Integrated Cavity Output Spectroscopic Gas Sensor for Real-Time, In Situ Atmospheric Methane Monitoring

2020 ◽  
pp. 1-1
Author(s):  
Kaiyuan Zheng ◽  
Chuantao Zheng ◽  
Haipeng Zhang ◽  
Junhao Li ◽  
Zidi Liu ◽  
...  
Keyword(s):  
Real Time ◽  
Gas Sensor ◽  
Near Infrared ◽  
Atmospheric Methane ◽  
Cavity Output

scholarly journals The Improvement on the Performance of DMD Hadamard Transform Near-Infrared Spectrometer by Double Filter Strategy and a New Hadamard Mask

Micromachines ◽  
2019 ◽  
Vol 10 (2) ◽  
pp. 149 ◽  
Author(s):  
Zifeng Lu ◽  
Jinghang Zhang ◽  
Hua Liu ◽  
Jialin Xu ◽  
Jinhuan Li
Keyword(s):  
Near Infrared ◽  
Signal To Noise Ratio ◽  
Nonuniform Distribution ◽  
Stray Light ◽  
Spectral Energy ◽  
Hadamard Transform ◽  
Digital Micromirror Device ◽  
Infrared Spectrometer ◽  
Near Infrared Spectrometer ◽  
The Impact

In the Hadamard transform (HT) near-infrared (NIR) spectrometer, there are defects that can create a nonuniform distribution of spectral energy, significantly influencing the absorbance of the whole spectrum, generating stray light, and making the signal-to-noise ratio (SNR) of the spectrum inconsistent. To address this issue and improve the performance of the digital micromirror device (DMD) Hadamard transform near-infrared spectrometer, a split waveband scan mode is proposed to mitigate the impact of the stray light, and a new Hadamard mask of variable-width stripes is put forward to improve the SNR of the spectrometer. The results of the simulations and experiments indicate that by the new scan mode and Hadamard mask, the influence of stray light is restrained and reduced. In addition, the SNR of the spectrometer also is increased.

Investigating the total antioxidant capacity of gluten-free grains with miniaturized near-infrared spectrometer

NIR news ◽  
2019 ◽  
Vol 30 (5-6) ◽  
pp. 35-38
Author(s):  
Verena Wiedemair ◽  
Christian Wolfgang Huck
Keyword(s):  
Antioxidant Capacity ◽  
Total Antioxidant Capacity ◽  
High Performance ◽  
Near Infrared ◽  
Least Squares Regression ◽  
Test Set ◽  
Total Antioxidant ◽  
Infrared Spectrometer ◽  
Near Infrared Spectrometer ◽  
Infrared Instruments

The use of ever smaller near-infrared instruments is becoming more and more prevalent, since they are cheaper, more versatile and often advertised as high-performance spectrometer. The last claim is rarely verified by independent researchers, which is why the presented work evaluates the performance of three hand-held spectrometers in comparison to a benchtop instrument. Seventy-seven samples comprising buckwheat, millet and oat were investigated for their total antioxidant capacity using Folin–Ciocalteu and near-infrared spectroscopy. Partial least squares regression models were established using cross- and test set validation. Results showed that all instruments were able to predict total antioxidant capacity to some extent. The coefficients of determinations ranged from 0.823 to 0.951 for cross-validated and from 0.849 to 0.952 for test set validated models. Errors for cross-validated models ranged from 1.11 to 2.08 mgGAE/g and for test set validated models from 1.02 to 1.86 mgGAE/g.

scholarly journals Digital dynamic discrimination of primary colorectal cancer using systemic indocyanine green with near-infrared endoscopy

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jeffrey Dalli ◽  
Eamon Loughman ◽  
Niall Hardy ◽  
Anwesha Sarkar ◽  
Mohammad Faraz Khan ◽  
...  
Keyword(s):  
Indocyanine Green ◽  
Real Time ◽  
Normal Tissue ◽  
Near Infrared ◽  
Malignant Lesion ◽  
Fluorescence Analysis ◽  
Video Tracking ◽  
Continuous Stream ◽  
Rich Data

AbstractAs indocyanine green (ICG) with near-infrared (NIR) endoscopy enhances real-time intraoperative tissue microperfusion appreciation, it may also dynamically reveal neoplasia distinctively from normal tissue especially with video software fluorescence analysis. Colorectal tumours of patients were imaged mucosally following ICG administration (0.25 mg/kg i.v.) using an endo-laparoscopic NIR system (PINPOINT Endoscopic Fluorescence System, Stryker) including immediate, continuous in situ visualization of rectal lesions transanally for up to 20 min. Spot and dynamic temporal fluorescence intensities (FI) were quantified using ImageJ (including videos at one frame/second, fps) and by a bespoke MATLAB® application that provided digitalized video tracking and signal logging at 30fps (Fluorescence Tracker App downloadable via MATLAB® file exchange). Statistical analysis of FI-time plots compared tumours (benign and malignant) against control during FI curve rise, peak and decline from apex. Early kinetic FI signal measurement delineated discriminative temporal signatures from tumours (n = 20, 9 cancers) offering rich data for analysis versus delayed spot measurement (n = 10 cancers). Malignant lesion dynamic curves peaked significantly later with a shallower gradient than normal tissue while benign lesions showed significantly greater and faster intensity drop from apex versus cancer. Automated tracker quantification efficiently expanded manual results and provided algorithmic KNN clustering. Photobleaching appeared clinically irrelevant. Analysis of a continuous stream of intraoperatively acquired early ICG fluorescence data can act as an in situ tumour-identifier with greater detail than later snapshot observation alone. Software quantification of such kinetic signatures may distinguish invasive from non-invasive neoplasia with potential for real-time in silico diagnosis.

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