Dr. Bin He Profile

Dr. Bin He

at Tianjin Univ

SPIE Involvement:

Author

Publications (3)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 11 February 2011 Paper

Discriminant analysis of milk adulteration based on near-infrared spectroscopy and pattern recognition

Rong Liu, Guorong Lv, Bin He, Kexin Xu

Proceedings Volume 7906, 79060Y (2011) https://doi.org/10.1117/12.873260

KEYWORDS: Urea, Statistical modeling, Glucose, Near infrared spectroscopy, Pattern recognition, Seaborgium, Absorbance, Optimization (mathematics), Safety, Absorption

Read Abstract +

Since the beginning of the 21st century, the issue of food safety is becoming a global concern. It is very important to develop a rapid, cost-effective, and widely available method for food adulteration detection. In this paper, near-infrared spectroscopy techniques and pattern recognition were applied to study the qualitative discriminant analysis method. The samples were prepared and adulterated with one of the three adulterants, urea, glucose and melamine with different concentrations. First, the spectral characteristics of milk and adulterant samples were analyzed. Then, pattern recognition methods were used for qualitative discriminant analysis of milk adulteration. Soft independent modeling of class analogy and partial least squares discriminant analysis (PLSDA) were used to construct discriminant models, respectively. Furthermore, the optimization method of the model was studied. The best spectral pretreatment methods and the optimal band were determined. In the optimal conditions, PLSDA models were constructed respectively for each type of adulterated sample sets (urea, melamine and glucose) and all the three types of adulterated sample sets. Results showed that, the discrimination accuracy of model achieved 93.2% in the classification of different adulterated and unadulterated milk samples. Thus, it can be concluded that near-infrared spectroscopy and PLSDA can be used to identify whether the milk has been adulterated or not and the type of adulterant used.

Proceedings Article | 26 February 2010 Paper

Adulteration detection in milk using infrared spectroscopy combined with two-dimensional correlation analysis

Bin He, Rong Liu, Renjie Yang, Kexin Xu

Proceedings Volume 7572, 75720P (2010) https://doi.org/10.1117/12.841580

KEYWORDS: Urea, Spectroscopy, Glucose, FT-IR spectroscopy, Absorbance, Infrared spectroscopy, Absorption, Databases, Nondestructive evaluation, Safety

Read Abstract +

Adulteration of milk and dairy products has brought serious threats to human health as well as enormous economic losses to the food industry. Considering the diversity of adulterants possibly mixed in milk, such as melamine, urea, tetracycline, sugar/salt and so forth, a rapid, widely available, high-throughput, cost-effective method is needed for detecting each of the components in milk at once. In this paper, a method using Fourier Transform Infrared spectroscopy (FTIR) combined with two-dimensional (2D) correlation spectroscopy is established for the discriminative analysis of adulteration in milk. Firstly, the characteristic peaks of the raw milk are found in the 4000-400 cm-1 region by its original spectra. Secondly, the adulterant samples are respectively detected with the same method to establish a spectral database for subsequent comparison. Then, 2D correlation spectra of the samples are obtained which have high time resolution and can provide information about concentration-dependent intensity changes not readily accessible from one-dimensional spectra. And the characteristic peaks in the synchronous 2D correlation spectra of the suspected samples are compared with those of raw milk. The differences among their synchronous spectra imply that the suspected milk sample must contain some kinds of adulterants. Melamine, urea, tetracycline and glucose adulterants in milk are identified respectively. This nondestructive method can be used for a correct discrimination on whether the milk and dairy products are adulterated with deleterious substances and it provides a new simple and cost-effective alternative to test the components of milk.

Proceedings Article | 20 February 2009 Paper

Data correction method based on the floating reference point for the noninvasive glucose sensing

Rong Liu, Bin He, Kexin Xu, Yue Yang

Proceedings Volume 7186, 71860O (2009) https://doi.org/10.1117/12.808738

KEYWORDS: Glucose, Monte Carlo methods, Diffuse reflectance spectroscopy, Absorption, Scattering, Water, Data corrections, In vitro testing, Single photon emission computed tomography, Interference (communication)

Read Abstract +

As an effective noninvasive method for glucose doesn't come into clinical realization due to the weakness of glucose unique signal and complexity of background noise, a method based on a floating reference point and a measuring point, where the diffuse reflectance intensity is insensitive and most sensitive to the variation of glucose concentration, respectively, is applied. In this paper, the data processing method based on the information of reference point was investigated to improve the precision of glucose sensing. The diffuse reflectance of intralipid solution with different glucose concentration in different source-detector distances was obtained by Monte-Carlo simulation. And the radial region selection of reference position and measuring position were discussed. Then in order to simulate the actual measurement condition, the random noise and linear drift were added on the simulated spectra. And the spectra in the proper measuring region corrected by that in the reference point were used to build the multivariate model. Further more, the corresponding optical probe was designed according to the distribution of light intensity in the radial distance and an in vitro experiment about intralipid solution with different glucose concentration was conducted to verify the effect of the data correction based on the information from the reference point. Results showed that, three different measuring regions should be determined in the wavelength of 1100nm-1700nm according to the wavelength characteristic of reference point. And the measuring region should be about 0.2-0.3mm far away from the reference region. For the simulation and in vitro experiment, after the correction by the information from the reference point, the prediction error for glucose was reduced by 46.2% and 23.2%, respectively.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years