scholarly journals Characterization of herbal powder blends homogeneity using near-infrared spectroscopy

2014 ◽  
Vol 07 (06) ◽  
pp. 1450004 ◽  
Author(s):  
Wenlong Li ◽  
Haibin Qu

Homogeneity of powder blend is essential to obtain uniform contents for the tablets and capsules. Near-infrared (NIR) spectroscopy with fiber-optic probe was used as an on-line technique for monitoring the homogeneity of pharmaceutical blend during the blending process instead of the traditional techniques, such as high performance liquid chromatograph (HPLC) method. In this paper NIRS with a SabIR diffuse reflectance fiber-optic probe was used to monitor the blending process of coptis powder and lactose (excipient) with different contents, and further qualitative methods, like similarity, moving block of standard deviation and mean square were used for calculation purposes with the collected spectra after the pretreatment of multiplicative signal correction (MSC) and second derivative. Correlation spectrum was used for the wavelength selection. Four different coptis were blended with lactose separately to validate the proposed method, and the blending process of "liu wei di huang" pill was also simulated in bottles to verify this method on multiple herbal blends. The overall results suggest that NIRS is a simple, effective and noninvasive technique can be successfully applied to the determination of homogeneity in the herbal blend.

1987 ◽  
Vol 41 (5) ◽  
pp. 786-790 ◽  
Author(s):  
L. G. Weyer ◽  
K. J. Becker ◽  
H. B. Leach

A near-infrared fiber optic probe remote sensing spectroscopic system has been developed for online multicomponent composition analysis. The Guided Wave Model 200 UV-VIS-NIR spectrophotometer has been evaluated as the base of this system. Multiple linear regression (MLR) software has been combined with data transfer, graphics, and online monitoring programs. The system has been evaluated in plant trials to monitor the composition of mixed alcohol purification streams, mixed solvent distillate, and a fatty acid derivative. The combined use of derivative spectroscopy and MLR data treatment provided good prediction equations for the real-time (20 s) monitoring of the concentrations of several components in moving streams.


2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
L. R. Schimleck ◽  
J. L. M. Matos ◽  
R. Trianoski ◽  
J. G. Prata

Near-infrared (NIR) spectroscopy provides a rapid alternative to traditional methods of wood property assessment. For organizations who assess wood properties on a large scale, multisite, multispecies calibrations are of practical interest. We examined NIR spectroscopy for the estimation of density (at 12% moisture content), modulus of elasticity (MOE), and modulus of rupture (MOR) using clear wood samples obtained from several pine species (Pinus caribaeavar. bahamensis, var.hondurensis, and var. caribaea, P.chiapensis,P.maximinoi,P.oocarpa,P.taeda, andP.tecunumanii). We compared different methodologies for collecting spectra, that is, benchtop instrument versus benchtop fiber-optic probe and field portable fiber-optic probe, and different wood surfaces (radial and transverse). Calibrations based on the benchtop instrument were superior to those obtained using the fiber-optic probe systems. Difficulty with adequately representing the sample when collecting spectra using a fiber-optic probe and lower quality spectra explain the differences among the data sets. Spectra collected from radial and transverse surfaces provided similar calibration statistics. The calibrations obtained for density (R2 = 0.81, SECV = 38.5 kg/m3) and MOE (R2 = 0.81, SECV = 1124 GPa) using benchtop instrument spectra demonstrate that it is possible to obtain general calibrations for estimating the wood properties of a number of tropical, subtropical, and temperate pine species.


NIR news ◽  
2018 ◽  
Vol 29 (4) ◽  
pp. 4-8 ◽  
Author(s):  
José A Adame-Siles ◽  
Francisco Sánchez-Müller ◽  
Francisco Maroto-Molina ◽  
Cecilia Riccioli ◽  
Ana Garrido-Varo ◽  
...  

Compliance checks at reception of olive oil in bulk before unloading is an essential step for packing plants to meet quality standards and ensure traceability. Nevertheless, classic procedures based on the withdrawal of samples followed by at-line analysis need to be improved. Near-infrared spectroscopy features can make it an ideal technology to enhance efficiency and decision-making processes. This article presents a new approach whose main pillar is the automated use of a fiber-optic sensor to sample and analyse olive oils in bulk, directly in the tank before the downloading at the reception point. Moreover, a preliminary assessment of the sensor performance is also reported.


1996 ◽  
Vol 50 (12) ◽  
pp. 1535-1540 ◽  
Author(s):  
Waldemar I. Friesen

The development of a reliable on-line method to monitor process streams is important for improved process control in oil sand extraction plants. The suitability of diffuse reflectance near-infrared (NIR) spectroscopy for this purpose has been tested in a pilot plant environment. Spectra of a feed slurry flowing through a pipe were measured with the use of an on-line fiber-optic probe. Data were collected throughout a nine-hour period during which ore type and slurry water content were varied. The feasibility of monitoring feed stream conditions is demonstrated by principal component analysis of the measured spectra. Clustering of these spectra according to ore type and water content enables the detection of deviations from and transitions between steady-state conditions of the process. Estimates are given of characteristic times for the process to reach a steady state after a change in condition has been initiated. The use of artificial neural networks for classifying spectra on the basis of ore type is also illustrated.


2015 ◽  
Vol 2015 ◽  
pp. 1-6 ◽  
Author(s):  
Jucelino Medeiros Marques Junior ◽  
Aline Lima Hermes Muller ◽  
Edson Luiz Foletto ◽  
Adilson Ben da Costa ◽  
Cezar Augusto Bizzi ◽  
...  

A method for determination of propranolol hydrochloride in pharmaceutical preparation using near infrared spectrometry with fiber optic probe (FTNIR/PROBE) and combined with chemometric methods was developed. Calibration models were developed using two variable selection models: interval partial least squares (iPLS) and synergy interval partial least squares (siPLS). The treatments based on the mean centered data and multiplicative scatter correction (MSC) were selected for models construction. A root mean square error of prediction (RMSEP) of 8.2 mg g−1was achieved using siPLS (s2i20PLS) algorithm with spectra divided into 20 intervals and combination of 2 intervals (8501 to 8801 and 5201 to 5501 cm−1). Results obtained by the proposed method were compared with those using the pharmacopoeia reference method and significant difference was not observed. Therefore, proposed method allowed a fast, precise, and accurate determination of propranolol hydrochloride in pharmaceutical preparations. Furthermore, it is possible to carry out on-line analysis of this active principle in pharmaceutical formulations with use of fiber optic probe.


2019 ◽  
Vol 86 (4) ◽  
pp. 243
Author(s):  
I. P. Shilov ◽  
G. L. Danielyan ◽  
A. A. Zamyatin ◽  
A. A. Makovetskiĭ ◽  
L. Yu. Kochmarev

Sign in / Sign up

Export Citation Format

Share Document