1
|
The Near-Infrared Spectroscopy of Ethanol-Fixed Tissues to Detect Illicit Treatments with Glucocorticoids in Bulls. Foods 2022; 11:foods11193001. [PMID: 36230078 PMCID: PMC9563602 DOI: 10.3390/foods11193001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 09/14/2022] [Accepted: 09/23/2022] [Indexed: 11/17/2022] Open
Abstract
This study aimed to set up indirect, rapid methods involving near infrared (NIR) spectroscopy analysis, to detect illicit treatments with glucocorticoids in bull. The ethanol fixation method (EtOH) was applied to 7 different tissues obtained from 20 Friesian bulls, 12 of which were experimentally administered with dexamethasone as part of a growth-promoting protocol for 60 days and slaughtered 26 days after the end of the treatment. A perfect discrimination was obtained for the 7 sampled tissues, considering a full UV-Vis-NIR range (350 ÷ 2500 nm), for both false positive and negative animals. The validated true positive and negative errors were zero for the longissimus thoracis muscle, 10% for the skin-dermis, 15% for the fat, 25% for the thymus gland and the semitendinosus muscle, 30% for the sternomandibularis muscle and 35% for the skin-hair. A multiple test on the most accessible tissues, that is, the thymus gland, the sternomandibularis muscle and fat, can be used as an alternative to provide indications about animals that have been subjected to illicit treatments. In the short space of three days from the slaughter, NIR spectroscopy of ETOH fixed tissues, would allow at least cost the detection of a probable illicit which could eventually be reported to health authorities for specific investigation in the frame of official controls.
Collapse
|
2
|
Xu L, Wang X, Huang Y, Wang Y, Zhu L, Wu R. A predictive model for the evaluation of flavor attributes of raw and cooked beef based on sensor array analyses. Food Res Int 2019; 122:16-24. [PMID: 31229068 DOI: 10.1016/j.foodres.2019.03.047] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2018] [Revised: 01/14/2019] [Accepted: 03/21/2019] [Indexed: 11/30/2022]
Abstract
There are currently no standardized objective measures to evaluate beef flavor attributes, especially the comparison between raw beef and cooked beef. Beef flavor attribute is one of the most significant parameters for consumers. This study described a predictive model using a 12-ion-sensor array and sensory properties to evaluate beef flavor attributes based on potential. Then the number of sensors was reduced to six via variance of analysis, and these six sensors were reserved with the saturated calomel reference electrode to constitute a new sensor array. Sensitive flavors of each sensor were selected through multiple comparative analysis. Results showed that the accuracy rate of classifying five basic flavors (acidity, sweetness, bitterness, saltiness, freshness) using the new sensor array was 100%. The processing methods used were based on multivariate statistical methods done with the cluster analysis (CA). Results were compared to sensory evaluation using genetic algorithm (GA). From GA, the accuracy rates of raw and cooked beef were 85.0% and 90.0%, which was consistent with the sensory analysis results. Moreover, reducing the number of sensors could decrease the data dimensionality and detection time. Also raw beef instead of cooked beef could be used in flavor attributes evaluation. This model could become an important method for evaluating beef flavor attributes repeatedly and objectively.
Collapse
Affiliation(s)
- Liping Xu
- College of Food Science and Engineering, Jilin University, Changchun 130062, China
| | - Xiaodan Wang
- College of Food Science and Engineering, Jilin University, Changchun 130062, China.
| | - Yue Huang
- Center for Computer Fundamental Education, Jilin University, Changchun 130022, China
| | - Ying Wang
- College of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, China
| | - Lingtao Zhu
- College of Food Science and Engineering, Jilin University, Changchun 130062, China
| | - Ruijia Wu
- College of Food Science and Engineering, Jilin University, Changchun 130062, China
| |
Collapse
|
3
|
Concollato A, Dalle Zotte A, Vargas SC, Cullere M, Secci G, Parisi G. Effects of three different stunning/slaughtering methods on physical, chemical, and sensory changes in rainbow trout (Oncorhynchus mykiss). JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2019; 99:613-619. [PMID: 29951992 DOI: 10.1002/jsfa.9222] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2018] [Revised: 05/27/2018] [Accepted: 06/22/2018] [Indexed: 06/08/2023]
Abstract
BACKGROUND Electrical stunning (E) and asphyxia in the air (A) are two common stunning/killing methods for fish. However, they can stress the fish and affect flesh quality, so an alternative should be found. The present study aimed to evaluate the effects of carbon monoxide asphyxia (CO) compared to E and A on the evolution of post rigor mortis changes in rainbow trout (Oncorhynchus mykiss) fillets related to chemical, textural, and sensorial properties during storage time. RESULTS Fish fillets from the E group showed a higher pH (P < 0.05) than the A ones, both at time of rigor resolution (TRR 0) and from TRR 4 until TRR 7 (7 days after rigor resolution, which corresponded to 10 days post mortem), with the CO group being always intermediate. The CO treatment ensured that the fillets showed the lowest yellowness index (b*), even if only at TRR 2 and TRR 5. Lipid oxidation and texture profile analyses were unaffected. Sensory analysis revealed that the CO fillets had the lowest odor intensity and the highest juiciness scores (P < 0.05). The sensory descriptors resulted the most discriminant variables of the fillets obtained from the differently stunned animals, as resulted by the canonical discriminant analysis. CONCLUSION The carbon monoxide stunning/slaughtering method could be applied to rainbow trout without detrimental effects on physical, chemical, or sensory characteristics of the fish flesh. © 2018 Society of Chemical Industry.
Collapse
Affiliation(s)
- Anna Concollato
- Department of Agri-Food Production and Environmental Sciences, Section of Animal Sciences, University of Firenze, Florence, Italy
| | - Antonella Dalle Zotte
- Department of Animal Medicine, Production and Health, University of Padova, Padova, Italy
| | - Sheyla C Vargas
- Departamento de Zootecnia, Faculdade de Zootecnia e Engenharia de Alimentos, Universidade de São Paulo, Pirassununga, Brazil
| | - Marco Cullere
- Department of Animal Medicine, Production and Health, University of Padova, Padova, Italy
| | - Giulia Secci
- Department of Agri-Food Production and Environmental Sciences, Section of Animal Sciences, University of Firenze, Florence, Italy
| | - Giuliana Parisi
- Department of Agri-Food Production and Environmental Sciences, Section of Animal Sciences, University of Firenze, Florence, Italy
| |
Collapse
|
4
|
Guo X, Cai R, Wang S, Tang B, Li Y, Zhao W. Non-destructive geographical traceability of sea cucumber ( Apostichopus japonicus) using near infrared spectroscopy combined with chemometric methods. ROYAL SOCIETY OPEN SCIENCE 2018; 5:170714. [PMID: 29410795 PMCID: PMC5792872 DOI: 10.1098/rsos.170714] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/23/2017] [Accepted: 12/01/2017] [Indexed: 06/07/2023]
Abstract
Sea cucumber is the major tonic seafood worldwide, and geographical origin traceability is an important part of its quality and safety control. In this work, a non-destructive method for origin traceability of sea cucumber (Apostichopus japonicus) from northern China Sea and East China Sea using near infrared spectroscopy (NIRS) and multivariate analysis methods was proposed. Total fat contents of 189 fresh sea cucumber samples were determined and partial least-squares (PLS) regression was used to establish the quantitative NIRS model. The ordered predictor selection algorithm was performed to select feasible wavelength regions for the construction of PLS and identification models. The identification model was developed by principal component analysis combined with Mahalanobis distance and scaling to the first range algorithms. In the test set of the optimum PLS models, the root mean square error of prediction was 0.45, and correlation coefficient was 0.90. The correct classification rates of 100% were obtained in both identification calibration model and test model. The overall results indicated that NIRS method combined with chemometric analysis was a suitable tool for origin traceability and identification of fresh sea cucumber samples from nine origins in China.
Collapse
Affiliation(s)
- Xiuhan Guo
- School of Pharmaceutical Science and Technology, Dalian University of Technology, No.2 Linggong Road, Hi-Tech Industry Zone District, Dalian 116023, People's Republic of China
- State Key Laboratory of Fine Chemicals, Dalian University of Technology, No.2 Linggong Road, Hi-Tech Industry Zone District, Dalian 116023, People's Republic of China
| | - Rui Cai
- School of Chemical Engineering, Dalian University of Technology, No.2 Linggong Road, Hi-Tech Industry Zone District, Dalian 116023, People's Republic of China
| | - Shisheng Wang
- School of Pharmaceutical Science and Technology, Dalian University of Technology, No.2 Linggong Road, Hi-Tech Industry Zone District, Dalian 116023, People's Republic of China
- State Key Laboratory of Fine Chemicals, Dalian University of Technology, No.2 Linggong Road, Hi-Tech Industry Zone District, Dalian 116023, People's Republic of China
| | - Bo Tang
- School of Pharmaceutical Science and Technology, Dalian University of Technology, No.2 Linggong Road, Hi-Tech Industry Zone District, Dalian 116023, People's Republic of China
- State Key Laboratory of Fine Chemicals, Dalian University of Technology, No.2 Linggong Road, Hi-Tech Industry Zone District, Dalian 116023, People's Republic of China
| | - Yueqing Li
- School of Pharmaceutical Science and Technology, Dalian University of Technology, No.2 Linggong Road, Hi-Tech Industry Zone District, Dalian 116023, People's Republic of China
- State Key Laboratory of Fine Chemicals, Dalian University of Technology, No.2 Linggong Road, Hi-Tech Industry Zone District, Dalian 116023, People's Republic of China
| | - Weijie Zhao
- School of Pharmaceutical Science and Technology, Dalian University of Technology, No.2 Linggong Road, Hi-Tech Industry Zone District, Dalian 116023, People's Republic of China
- State Key Laboratory of Fine Chemicals, Dalian University of Technology, No.2 Linggong Road, Hi-Tech Industry Zone District, Dalian 116023, People's Republic of China
| |
Collapse
|
5
|
Zhang L, Li Q, Lyu J, Kong C, Song S, Luo Y. The impact of stunning methods on stress conditions and quality of silver carp (Hypophthalmichthys molitrix) fillets stored at 4°C during 72h postmortem. Food Chem 2016; 216:130-7. [PMID: 27596401 DOI: 10.1016/j.foodchem.2016.08.004] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2016] [Revised: 08/02/2016] [Accepted: 08/03/2016] [Indexed: 11/16/2022]
Abstract
This study aimed to evaluate different stunning methods [percussion (T1), immersion in ice/water slurry (T2), and gill cut (T3)] on quality and stress conditions of silver carp (Hypophthalmichthys molitrix) fillets stored at 4°C in 72h postmortem. Rigor index (RI%), behavioral analysis, levels of lactic acid and muscle glycogen were measured for stress level evaluation. Meanwhile, sensory assessment, texture properties, cooking loss, adenosine triphosphate (ATP) related compounds, adenosine monophosphate deaminase (ADA) activity, and acid phosphatase (ACP) activity were analyzed. The least stress condition, significantly (P<0.05) higher initial glycogen content was observed in T1. Ice/water stunning reduced the rate of ATP degradation, reflected in the lowest K value during 72h. Aversive behaviors, significantly (P<0.05) higher cooking loss, hypoxanthine riboside (HxR) content, and lower sensory score were observed in T3. The results indicated that gill cut in aquatic processing industry should be avoided for inferior quality and aversive reactions during stunning.
Collapse
Affiliation(s)
- Longteng Zhang
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China
| | - Qian Li
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China
| | - Jian Lyu
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China
| | - Chunli Kong
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China
| | - Sijia Song
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China
| | - Yongkang Luo
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China; Beijing Laboratory for Food Quality and Safety, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China.
| |
Collapse
|