Jianwei Qin

Dr. Jianwei Qin

Environmental Microbial and Food Safety Laboratory, Agricultural Research Service, United States Department of Agriculture, Beltsville, MD 20705, USA
orcid

Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 September 2013 in Journal of Food Engineering
Verified
Journal Article
Closed access
Jianwei QinJianwei Qin
Jianwei Qin
KCKuanglin Chao
Kuanglin Chao
MKMoon S. Kim
Moon S. Kim
RLRenfu Lu
Renfu Lu
TBThomas F. Burks
Thomas F. Burks

1 September 2008 in Postharvest Biology and Technology
Verified
Journal Article
Closed access
Jianwei QinJianwei Qin
Jianwei Qin
RLRenfu Lu
Renfu Lu

1 July 2009 in Journal of Food Engineering
Verified
Journal Article
Closed access
Jianwei QinJianwei Qin
Jianwei Qin
TBThomas F. Burks
Thomas F. Burks
MRMark A. Ritenour
Mark A. Ritenour
WBW. Gordon Bonn
W. Gordon Bonn

17 May 2016 in Foods
Verified
Journal Article
Open access
PDF file
SDSagar Dhakal
Sagar Dhakal
KCKuanglin Chao
Kuanglin Chao
WSWalter F. Schmidt
Walter F. Schmidt
Jianwei QinJianwei Qin
Jianwei Qin
MKMoon Kim
Moon Kim
DCDiane Chan
Diane Chan
Turmeric powder (Curcuma longa L.) is valued both for its medicinal properties and for its popular culinary use, such as being a component in curry powder. Due to its high demand in international trade, turmeric powder has been subject to economically driven, hazardous chemical adulteration. This study utilized Fourier Transform-Raman (FT-Raman) and Fourier Transform-Infra Red (FT-IR) spectroscopy as separate but complementary methods for detecting metanil yellow adulteration of turmeric powder. Sample mixtures of turmeric powder and metanil yellow were prepared at concentrations of 30%, 25%, 20%, 15%, 10%, 5%, 1%, and 0.01% (w/w). FT-Raman and FT-IR spectra were acquired for these mixture samples as well as for pure samples of turmeric powder and metanil yellow. Spectral analysis showed that the FT-IR method in this study could detect the metanil yellow at the 5% concentration, while the FT-Raman method appeared to be more sensitive and could detect the metanil yellow at the 1% concentration. Relationships between metanil yellow spectral peak intensities and metanil yellow concentration were established using representative peaks at FT-Raman 1406 cm−1 and FT-IR 1140 cm−1 with correlation coefficients of 0.93 and 0.95, respectively.

1 December 2011 in Journal of Food Engineering
Verified
Journal Article
Closed access
Jianwei QinJianwei Qin
Jianwei Qin
KCKuanglin Chao
Kuanglin Chao
MKMoon S. Kim
Moon S. Kim

1 April 2007 in Applied Spectroscopy
Verified
Journal Article
Closed access
Jianwei QinJianwei Qin
Jianwei Qin
RLRenfu Lu
Renfu Lu
A hyperspectral imaging system in line scanning mode was used for measuring the absorption and scattering properties of turbid food materials over the visible and near-infrared region of 530–900 nm. An instrumental calibration procedure was developed to compensate for the nonuniform instrument response of the imaging system. A nonlinear curve-fitting algorithm for a steady-state diffusion theory model was proposed to determine absorption (μa) and reduced scattering coefficients (μ′s) from the spatially resolved hyperspectral reflectance profiles. The hyperspectral imaging system provided good measurement of μa and μ′s for the simulation samples made of Intralipid scattering material and three absorbers (blue dye, green dye, and black ink) with average fitting errors of 16% and 11%, respectively. The optical properties of the fruit and vegetable juices and milks were determined. Values of the absorption and reduced scattering coefficient at 600 nm were highly correlated to the fat content of the milk samples with the correlation coefficient of 0.995 and 0.998, respectively. Compared to time-resolved and frequency-domain techniques, the hyperspectral imaging technique provides a faster and simpler means for measuring the optical properties of turbid food and agricultural products.