Hongbin Pu

Efficient extraction of deep image features using convolutional neural network (CNN) for applications in detecting and analysing complex food matrices

Yao Liu, Hongbin Pu, Da‐Wen Sun · Trends in Food Science & Technology · 2021 · 384 citations

Convolutional Neural Network, Food Authentication, Food Analysis +5

Advances in flexible surface-enhanced Raman scattering (SERS) substrates for nondestructive food detection: Fundamentals and recent applications

Daorui Zhang, Hongbin Pu, Lunjie Huang et al. · Trends in Food Science & Technology · 2021 · 303 citations · Full text

Chemical Engineering, Edible Film, Engineering +11

Surface enhanced Raman spectroscopy (SERS): A novel reliable technique for rapid detection of common harmful chemical residues

Yingfen Jiang, Da‐Wen Sun, Hongbin Pu et al. · Trends in Food Science & Technology · 2018 · 241 citations

Novel Reliable Technique, Chemical Engineering, Environmental Chemistry +9

Non-destructive prediction of thiobarbituricacid reactive substances (TBARS) value for freshness evaluation of chicken meat using hyperspectral imaging

Zhenjie Xiong, Da‐Wen Sun, Hongbin Pu et al. · Food Chemistry · 2015 · 232 citations

Hyperspectral Imaging, Non-destructive Prediction, Food Quality +13

Bridging Fe3O4@Au nanoflowers and Au@Ag nanospheres with aptamer for ultrasensitive SERS detection of aflatoxin B1

Huirong He, Da‐Wen Sun, Hongbin Pu et al. · Food Chemistry · 2020 · 217 citations · Full text

Engineering, Ultrasensitive Sers Detection, Metal Nanoparticles +6