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- 01HFYAY1XNKNA5BYPJRNNQYD8C classification C3.
- 01HFYAY1XNKNA5BYPJRNNQYD8C date "2023".
- 01HFYAY1XNKNA5BYPJRNNQYD8C language "eng".
- 01HFYAY1XNKNA5BYPJRNNQYD8C type conference.
- 01HFYAY1XNKNA5BYPJRNNQYD8C hasPart 01HFYB075PD5E4WSBW9DKQ1HSX.pdf.
- 01HFYAY1XNKNA5BYPJRNNQYD8C hasPart 01HRT08H1PQ2FRRMJGH7B1S19X.pdf.
- 01HFYAY1XNKNA5BYPJRNNQYD8C subject "Agriculture and Food Sciences".
- 01HFYAY1XNKNA5BYPJRNNQYD8C subject "Chemistry".
- 01HFYAY1XNKNA5BYPJRNNQYD8C subject "Mathematics and Statistics".
- 01HFYAY1XNKNA5BYPJRNNQYD8C subject "Technology and Engineering".
- 01HFYAY1XNKNA5BYPJRNNQYD8C presentedAt urn:uuid:64868132-f3a9-4b43-9282-be39ca0bb81f.
- 01HFYAY1XNKNA5BYPJRNNQYD8C abstract "Introduction: The generation of volatile organic compounds (VOCs) and the associated off-odors are amongst the typical microbial spoilage phenomena for pork. Selected-ion flow-tube mass spectrometry (SIFT-MS) is a novel analytical technique effective for quantifying these compounds at trace levels in real-time. Purpose: This study aims to predict the microbial quality of pork, by developing a multidisciplinary methodology that combines volatolome analysis and data-driven modeling. Methods: Fresh pork loin was stored at 4 °C under high-O2 (air, 70/0/30, 70/30/0 – %O2/CO2/N2) and low-O2 (5/30/65, 0/30/70, 0/0/100 – %O2/CO2/N2) atmospheres. Each packaging condition was tested twice using two different initial pork meat batches. In total, 225 storage samples (6 conditions × 2 batches × 6-7 measurement days × 3 daily replicates) were analyzed by classical microbiological plating and SIFT-MS. Back-propagation neural networks (BP-NN) were then established based on the quality of each individual sample, with partial least squares regression (PLS-R) as a comparison. Logarithmic and standardized concentrations of VOCs were used as model inputs, and logarithmic bacterial counts as outputs. Two high-O2 and two low-O2 conditions were set for training and validation by turns, and the remaining conditions left out for testing. Results: Acetoin and 3-methyl-1-butanol were greatly accumulated in high-O2 spoilage, while ethanol, 3-methylbutanal, H2S, and methyl mercaptan were characteristic for low-O2 atmospheres. The volatolome-based BP-NN outperformed the conventional PLS-R model and had satisfactory power in predicting total colony counts, especially for low-O2 conditions (accuracy factor: 1.044-1.068, root mean square error: 0.370-0.492). Using BP-NN, 73-80% of samples stored under low-O2 atmospheres can be predicted within ± 0.5 log CFU/g of estimation residuals for total colony counts. Significance: The implementation of fast non-invasive/non-destructive techniques such as SIFT-MS is expected to accelerate future quality indication in meat supply chains, especially in tandem with machine learning methods.".
- 01HFYAY1XNKNA5BYPJRNNQYD8C author 61B7DF2C-1CEC-11E4-89B2-9609B5D1D7B1.
- 01HFYAY1XNKNA5BYPJRNNQYD8C author 70ca668d-77bd-11eb-8f2c-f8cd559d2eb1.
- 01HFYAY1XNKNA5BYPJRNNQYD8C author F4728EE8-F0ED-11E1-A9DE-61C894A0A6B4.
- 01HFYAY1XNKNA5BYPJRNNQYD8C author F4B603C6-F0ED-11E1-A9DE-61C894A0A6B4.
- 01HFYAY1XNKNA5BYPJRNNQYD8C author F5CA4B1E-F0ED-11E1-A9DE-61C894A0A6B4.
- 01HFYAY1XNKNA5BYPJRNNQYD8C author F99BD73A-F0ED-11E1-A9DE-61C894A0A6B4.
- 01HFYAY1XNKNA5BYPJRNNQYD8C author FD7696E0-D8CD-11E9-BEBB-13D15607D3EF.
- 01HFYAY1XNKNA5BYPJRNNQYD8C dateCreated "2023-11-23T14:56:51Z".
- 01HFYAY1XNKNA5BYPJRNNQYD8C dateModified "2024-10-29T18:36:46Z".
- 01HFYAY1XNKNA5BYPJRNNQYD8C name "Rapid and non destructive prediction of pork microbial quality using volatolome based artificial neural networks".
- 01HFYAY1XNKNA5BYPJRNNQYD8C pagination urn:uuid:d7b3eb30-fbc3-4be8-8c1f-623acda459eb.
- 01HFYAY1XNKNA5BYPJRNNQYD8C sameAs LU-01HFYAY1XNKNA5BYPJRNNQYD8C.
- 01HFYAY1XNKNA5BYPJRNNQYD8C sourceOrganization urn:uuid:1d0b6a5d-4a57-4ad3-b419-33c07b2881fc.
- 01HFYAY1XNKNA5BYPJRNNQYD8C sourceOrganization urn:uuid:82df1ea1-d01a-4308-9aa4-e31bf295f841.
- 01HFYAY1XNKNA5BYPJRNNQYD8C sourceOrganization urn:uuid:d56c5895-af8a-4a7e-b531-6922d563896a.
- 01HFYAY1XNKNA5BYPJRNNQYD8C type C3.