Mingming Zhao,Zhiheng You,Huayun Chen,Xiao Wang,Yibin Ying,Yixian Wang
Artificial scent screening systems, inspired by the mammalian olfactory system, hold promise for fruit ripeness detection, but their commercialization is limited by low sensitivity or pattern recognition inaccuracy. This study presents a portable fruit ripeness prediction system based on colorimetric sensing combinatorics and deep convolutional neural networks (DCNN) to accurately identify fruit ripeness. Using the gas chromatography–mass spectrometry (GC-MS) method, the study discerned the distinctive gases emitted by mango, peach, and banana across various ripening stages. The colorimetric sensing combinatorics utilized 25 dyes sensitive to fruit volatile gases, generating a distinct scent fingerprint through cross-reactivity to diverse concentrations and varieties of gases. The unique scent fingerprints can be identified using DCNN. After capturing colorimetric sensor image data, the densely connected convolutional network (DenseNet) was employed, achieving an impressive accuracy rate of 97.39% on the validation set and 82.20% on the test set in assessing fruit ripeness. This fruit ripeness prediction system, coupled with a DCNN, successfully addresses the issues of complex pattern recognition and low identification accuracy. Overall, this innovative tool exhibits high accuracy, non-destructiveness, practical applicability, convenience, and low cost, making it worth considering and developing for fruit ripeness detection.
An Yueqi,Ruan Qiufeng,Wenrong Li,Zhang Xuezhen,Xiong Shanbai
Understanding the differences in odors of freshwater and marine fish surimi and their products is important for the quality control of surimi products. Aroma compounds in silver carp surimi and three kinds of marine fish surimi and their products were identified by gas chromatography-mass spectrometry/olfactometry, and aroma fingerprints of them were established based on metabolomics analysis methods. Silver carp surimi and surimi products showed the highest “fresh fish” and “grassy, earthy” notes, while the marine fish surimi and their products presented a strong “sea breeze-like” odor. Five Br-containing compounds (sea breeze-like) were identified in the marine fish samples. The aroma fingerprints showed that the odor compositions of freshwater and marine surimi/surimi products were divided into two categories, and the marine fish surimi and their products also showed differences in odors. Furthermore, four commercial surimi and their products could be distinguished according to 33 and 28 differential aroma components, respectively.
危险品化学品经营许可证（带存储）