Handheld short-wavelength NIR spectroscopy for rapid determination of sugars and carbohydrate in fresh juice with Sampling Error Profile Analysis

2021 ◽  
pp. 103732
Author(s):  
Wanchao Chen ◽  
Hui Li ◽  
Feiyu Zhang ◽  
Weimin Xiao ◽  
Ruoqiu Zhang ◽  
...  
Keyword(s):  
Short Wavelength ◽  
Profile Analysis ◽  
Rapid Determination ◽  
Sampling Error ◽  
Nir Spectroscopy ◽  
Error Profile

Sampling error profile analysis (SEPA) for model optimization and model evaluation in multivariate calibration

2017 ◽  
Vol 32 (11) ◽  
pp. e2933 ◽  
Author(s):  
Wanchao Chen ◽  
Yiping Du ◽  
Feiyu Zhang ◽  
Ruoqiu Zhang ◽  
Boyang Ding ◽  
...  
Keyword(s):  
Model Evaluation ◽  
Multivariate Calibration ◽  
Profile Analysis ◽  
Sampling Error ◽  
Model Optimization ◽  
Error Profile

The rapid determination of total polyphenols content and antioxidant activity in Dendrobium officinale using near-infrared spectroscopy

2016 ◽  
Vol 8 (23) ◽  
pp. 4584-4589 ◽  
Author(s):  
Longhui Ma ◽  
Zhimin Zhang ◽  
Xingbing Zhao ◽  
Sufeng Zhang ◽  
Hongmei Lu
Keyword(s):  
Antioxidant Activity ◽  
Infrared Spectroscopy ◽  
Near Infrared ◽  
Rapid Determination ◽  
Nir Spectroscopy ◽  
Dendrobium Officinale ◽  
Chemometric Methods ◽  
Total Polyphenols ◽  
Rapid Quantification

NIR spectroscopy coupled with chemometric methods for rapid quantification of total polyphenols content and antioxidant activity inDendrobium officinale.

scholarly journals Rapid determination of hyaluronic acid concentration in fermentation broth with near-infrared spectroscopy

2014 ◽  
Vol 07 (06) ◽  
pp. 1450012 ◽  
Author(s):  
Qin Dong ◽  
Hengchang Zang ◽  
Lixuan Zang ◽  
Aihua Liu ◽  
Yanli Shi ◽  
...  
Keyword(s):  
Hyaluronic Acid ◽  
Fermentation Process ◽  
Near Infrared ◽  
Fermentation Broth ◽  
Rapid Determination ◽  
Nir Spectroscopy ◽  
Promising Tool ◽  
Calibration Models ◽  
Order Polynomial

Hyaluronic acid (HA) concentration is an important parameter in fermentation process. Currently, carbazole assay is widely used for HA content determination in routine analysis. However, this method is time-consuming, environment polluting and has the risk of microbial contamination, as well as the results lag behind fermentation process. This paper attempted the feasibility to predict the concentration of HA in fermentation broth by using near infrared (NIR) spectroscopy in transmission mode. In this work, a total of 56 samples of fermentation broth from 7 batches were analyzed, which contained HA in the range of 2.35–9.69 g/L. Different data preprocessing methods were applied to construct calibration models. The final optimal model was obtained with first derivative using Savitzky–Golay smoothing (9 points window, second-order polynomial) and partial least squares (PLS) regression with leave-one-block-out cross validation. The correlation coefficient and Root Mean Square Error of prediction set is 0.98 and 0.43 g/L, respectively, which show the possibility of NIR as a rapid method for microanalysis and to be a promising tool for a rapid assay in HA fermentation.

Application of FT-NIR spectroscopy and FT-IR spectroscopy to Chinese rice wine for rapid determination of fermentation process parameters

2015 ◽  
Vol 7 (6) ◽  
pp. 2726-2737 ◽  
Author(s):  
Zhengzong Wu ◽  
Jie Long ◽  
Enbo Xu ◽  
Chunsen Wu ◽  
Fang Wang ◽  
...  
Keyword(s):  
Ir Spectroscopy ◽  
Fermentation Process ◽  
Rapid Determination ◽  
Nir Spectroscopy ◽  
Rice Wine ◽  
Chinese Rice Wine ◽  
Ft Ir ◽  
Chemometric Tools ◽  
Ft Ir Spectroscopy

NIR and MIR combined with chemometric tools were used to monitor time-related changes during Chinese rice wine fermentation.

Near infrared spectroscopy for rapid determination of solids content of amino resins

2020 ◽  
Vol 28 (5-6) ◽  
pp. 344-350
Author(s):  
M Gonçalves ◽  
NT Paiva ◽  
JM Ferra ◽  
J Martins ◽  
F Magalhães ◽  
...  
Keyword(s):  
Near Infrared ◽  
Rapid Determination ◽  
Nir Spectroscopy ◽  
Coefficient Of Determination ◽  
Water Addition ◽  
Reliable Technique ◽  
Standard Normal Variate ◽  
And Performance ◽  
Solids Content

Near infrared (NIR) spectroscopy is a fast and reliable technique for assessing properties of amino resins. One important property that defines the cost and performance of these resins is the solids content (SC). This work studied the prediction of SC of amino resins by combining NIR spectroscopy with partial least squares (PLS) regression. A total of 990 industrial NIR spectra of amino resins were obtained and split randomly by a ratio of 2/3 for calibration and 1/3 for validation. The best model achieved a root mean-square error of prediction (RMSEP) of 0.32% (m/m) and a coefficient of determination of prediction ([Formula: see text]) of 81%. standard normal variate (SNV) was found to be the NIR pre-processing that provided the best results for model construction. Addition of water to two amino resins showed that the NIR model does not respond to the water addition, despite water making great contribution to the SC value. An inference that can be obtained from this is that the NIR model of amino resins uses NIR properties of amino resins that relate to the SC and from there predict the most probable SC, instead of looking at all the components that affect the SC of amino resins.

Sampling Error Profile Analysis for calibration transfer in multivariate calibration

2017 ◽  
Vol 171 ◽  
pp. 234-240 ◽  
Author(s):  
Feiyu Zhang ◽  
Wanchao Chen ◽  
Ruoqiu Zhang ◽  
Boyang Ding ◽  
Heming Yao ◽  
...  
Keyword(s):  
Multivariate Calibration ◽  
Profile Analysis ◽  
Sampling Error ◽  
Calibration Transfer ◽  
Error Profile

Rapid Determination of Total Content of Five Major Anthraquinones in Rhei Radix et Rhizoma by NIR Spectroscopy

2017 ◽  
Vol 9 (3) ◽  
pp. 250-257 ◽  
Author(s):  
Hao Zhan ◽  
Jing Fang ◽  
Hong-wei Wu ◽  
Hong-jun Yang ◽  
Hua Li ◽  
...  
Keyword(s):  
Rapid Determination ◽  
Nir Spectroscopy ◽  
Total Content

scholarly journals Rapid Determination of Leaf Water Content Using VIS/NIR Spectroscopy Analysis with Wavelength Selection

2012 ◽  
Vol 27 ◽  
pp. 93-105 ◽  
Author(s):  
Qianxuan Zhang ◽  
Qingbo Li ◽  
Guangjun Zhang
Keyword(s):  
Water Content ◽  
Biochemical Parameters ◽  
Rapid Determination ◽  
Nir Spectroscopy ◽  
Crop Productivity ◽  
Leaf Water Content ◽  
Calibration Model ◽  
Wavelength Selection ◽  
Limiting Efficiency

Water content in plants is one of the most common biochemical parameters limiting efficiency of photosynthesis and crop productivity. Therefore, it has very important meaning to predict the water content rapidly and nondestructively. The objective of this study was to investigate the feasibility of detecting the water content in the leaf using the diffuse reflectance spectra limited in the VIS/NIR region (400–1100 nm), which could be used to determine other biochemical parameters such as chlorophyll and nitrogen content. The experiment with leaves in different water stress was conducted. The statistical test result indicated that the determination of water content in leaf could be successfully performed by VIS/NIR spectroscopy combined with chemometrics method. The performances of different pretreatment methods were compared. The model with best performance was obtained from the first derivative spectra. In order to make the calibration model more parsimonious and stable, a hybrid wavelength selection method was proposed to extract the efficient feature wavelength. Under the optimal condition, an RMSEP of 0.73% with 25 variables was obtained for water content prediction using extern validation. The conclusions presented could lead to the development of portable instrument for synchronous detecting water content and other biochemical parameters rapidly and nondestructively.

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