This comprehensive study delves deeply into the intricate process of optimizing fish product distribution routes in the expansive Western Kenya region, with an explicit focus on understanding and refining the operational strategies employed by Victory Farm Limited. Leveraging the Hungarian Method, celebrated for its unparalleled effectiveness in the realm of combinatorial optimization, the research endeavors to meticulously evaluate and fine-tune the shortest and most efficient transportation routes for seamlessly ferrying fish products from Kisumu Logistic Center to a myriad of distribution depots and retail markets scattered across the Western Kenya region's diverse landscape. Through an exhaustive analysis that spans road networks, logistical constraints, and the ever-evolving dynamics of market demand, this study systematically identifies and delineates optimal routes that not only minimize the distance traversed but also significantly mitigate associated transportation costs, all while steadfastly adhering to stringent standards for punctuality and product quality. Furthermore, by synergistically integrating sophisticated mathematical modeling techniques, meticulously executed through Python programming, with a robust foundation of real-world data meticulously sourced from Victory Farm Limited, this research endeavors to provide invaluable insights and pragmatic recommendations aimed at fortifying and enhancing the overall efficiency and profitability of fish product distribution operations throughout Victory Farm Western Kenya depots. In essence, the anticipated outcomes of this study transcend the realm of theoretical conjecture, poised instead to catalyze tangible advancements in the sustainable development of the region's burgeoning aquaculture sector, thereby fostering a lasting legacy of economic prosperity and environmental stewardship for generations to come.
Published in | International Journal of Nutrition and Food Sciences (Volume 13, Issue 3) |
DOI | 10.11648/j.ijnfs.20241303.11 |
Page(s) | 56-65 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Hungarian, Optimization, Transportation
2.1. Study Framework
2.1.1. Geographical Framework
2.1.2. Scientific Framework
2.2. Material
2.2.1. Different Flora Sought in Spices and Corresponding Culture Media
Flora counted | Culture media | Temperature and incubation time | Observation | Standards used |
---|---|---|---|---|
TAMF | PCA Agar | 30°C for 72 hours | Lenticular colonies | NF V08-051 |
Coliforms | VRBL Agar | 37°C for 24 hours | Pink-red colonies | NF V08-050 |
Anaerobic-sulfito-reducing | TSN | 37°C for 24 to 48 hours | Black color | XP V08-06 |
Fungal flora (yeasts & molds) | Sabouraud Chloramphenicol | 25°C for 72 hours | Cottony appearance | NF V08-059 |
Staphylococcus aureus | Baird Parker Chapman | 37°C for 24 hours | Black colonies with light haloGolden yellow colonies | NF V08-057-1 |
Escherichia coli | TBX | 44°C for 24 hours | Blue colonies | NF ISO 16649-2 (2001) |
Salmonella | Broth report SS Selective Medium | 37°C for 24 hours | Trouble Transparent colonies with or without black center | NF V08-052 |
2.2.2. Plant Material
2.3. Identification of Spoilage and/or Pathogenic Flora in Powdered Spices Packaged and Sold in the Markets of the City of Lomé
2.3.1. Sampling of Spices
2.3.2. Sample Collection
SPICES | MARKETS | TOTAL | |||||
---|---|---|---|---|---|---|---|
Adawlato | Legbassito | Adeticope | Agoè – Assiyéyé | Gbossime | Hanukope | ||
Red pepper | 2 | - | 2 | 2 | 2 | 2 | 10 |
Black pepper | 2 | 1 | - | 1 | 1 | - | 5 |
Clove | 1 | 1 | - | 1 | 1 | 1 | 5 |
Ginger | 1 | 1 | 1 | - | 2 | - | 5 |
Green anise | 2 | - | - | 1 | 1 | 1 | 5 |
Spice blend | 2 | 2 | 2 | 2 | - | 2 | 10 |
Total | 10 | 5 | 5 | 7 | 7 | 6 | 40 |
2.3.3. Sampling Periods and Sampling Frequency for Spices
2.4. Microbiological Analyzes of the Spice Samples Considered
2.5. Reading and Interpretation
Sampling plan | FAMT | Total coliforms | E. Coli | L & M | ASR | S. aureus | Salmonella | |
---|---|---|---|---|---|---|---|---|
Spices & spice blends (M) | n = 5; c = 2 | 5.105 | 102 | 102 | 105 | 104 | 102 | Absence/25g |
n = 10; c = 4 |
2.6. Statistical Analysis
3.1. Microbiological Analysis Results
Red pepper | Black pepper | Clove | Green anise | Ginger | Spice blend | Contamination rate | |
---|---|---|---|---|---|---|---|
TAMF | 80% | 30% | 20% | 30% | 60% | 50% | 45% |
TC | 70% | 80% | 20% | 20% | 0% | 80% | 45% |
E. Coli | 0% | 0% | 0% | 0% | 0% | 0% | 0% |
Y&M | 0% | 0% | 0% | 0% | 0% | 0% | 0% |
ASR | 30% | 0% | 0% | 0% | 0% | 70% | 17% |
S. aureus | 0% | 0% | 0% | 0% | 0% | 0% | 0% |
Salmonella | 0% | 0% | 0% | 0% | 0% | 0% | 0% |
Rate by type of spice | 26% | 16% | 6% | 7% | 9% | 29% | 15% |
Red pepper | Black pepper | Clove | Green anise | Ginger | Spice blend | Criteria | |
---|---|---|---|---|---|---|---|
TAMF | 17.105 | 14. 105 | 63.2.105 | 26.105 | 24.105 | 24.105 | 5.105 |
TC | 13.102 | 2.102 | 10.4.102 | 74.102 | 9.102 | 5.103 | 102 |
E. Coli | < 101 | < 101 | < 101 | < 101 | < 101 | < 101 | 102 |
Y & M | 8.102 | 2.102 | 8.102 | 04.102 | 23.102 | 23.103 | 105 |
ASR | 102 | < 101 | < 101 | < 101 | < 101 | 101 | 104 |
S. aureus | < 101 | < 101 | < 101 | < 101 | < 101 | < 101 | 102 |
Salmonella | Abs | Abs/25g | Abs/25g | Abs/25g | Abs/25g | Abs | Abs/25g |
3.2. Comparison of Spice Blend Results
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APA Style
Kodzovi, K., Bouraïma, D., Mamatchi, M., Goto, B. E. C. E., Yaovi, A. (2024). Evaluation of the Microbiological Quality of Some Marketed Spices in Lomé (Togo). International Journal of Nutrition and Food Sciences, 13(3), 56-65. https://doi.org/10.11648/j.ijnfs.20241303.11
ACS Style
Kodzovi, K.; Bouraïma, D.; Mamatchi, M.; Goto, B. E. C. E.; Yaovi, A. Evaluation of the Microbiological Quality of Some Marketed Spices in Lomé (Togo). Int. J. Nutr. Food Sci. 2024, 13(3), 56-65. doi: 10.11648/j.ijnfs.20241303.11
AMA Style
Kodzovi K, Bouraïma D, Mamatchi M, Goto BECE, Yaovi A. Evaluation of the Microbiological Quality of Some Marketed Spices in Lomé (Togo). Int J Nutr Food Sci. 2024;13(3):56-65. doi: 10.11648/j.ijnfs.20241303.11
@article{10.11648/j.ijnfs.20241303.11, author = {Kodjo Kodzovi and Djeri Bouraïma and Melila Mamatchi and Bouka Ekpetsi Chantal Epse Goto and Ameyapoh Yaovi}, title = {Evaluation of the Microbiological Quality of Some Marketed Spices in Lomé (Togo) }, journal = {International Journal of Nutrition and Food Sciences}, volume = {13}, number = {3}, pages = {56-65}, doi = {10.11648/j.ijnfs.20241303.11}, url = {https://doi.org/10.11648/j.ijnfs.20241303.11}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijnfs.20241303.11}, abstract = {This comprehensive study delves deeply into the intricate process of optimizing fish product distribution routes in the expansive Western Kenya region, with an explicit focus on understanding and refining the operational strategies employed by Victory Farm Limited. Leveraging the Hungarian Method, celebrated for its unparalleled effectiveness in the realm of combinatorial optimization, the research endeavors to meticulously evaluate and fine-tune the shortest and most efficient transportation routes for seamlessly ferrying fish products from Kisumu Logistic Center to a myriad of distribution depots and retail markets scattered across the Western Kenya region's diverse landscape. Through an exhaustive analysis that spans road networks, logistical constraints, and the ever-evolving dynamics of market demand, this study systematically identifies and delineates optimal routes that not only minimize the distance traversed but also significantly mitigate associated transportation costs, all while steadfastly adhering to stringent standards for punctuality and product quality. Furthermore, by synergistically integrating sophisticated mathematical modeling techniques, meticulously executed through Python programming, with a robust foundation of real-world data meticulously sourced from Victory Farm Limited, this research endeavors to provide invaluable insights and pragmatic recommendations aimed at fortifying and enhancing the overall efficiency and profitability of fish product distribution operations throughout Victory Farm Western Kenya depots. In essence, the anticipated outcomes of this study transcend the realm of theoretical conjecture, poised instead to catalyze tangible advancements in the sustainable development of the region's burgeoning aquaculture sector, thereby fostering a lasting legacy of economic prosperity and environmental stewardship for generations to come. }, year = {2024} }
TY - JOUR T1 - Evaluation of the Microbiological Quality of Some Marketed Spices in Lomé (Togo) AU - Kodjo Kodzovi AU - Djeri Bouraïma AU - Melila Mamatchi AU - Bouka Ekpetsi Chantal Epse Goto AU - Ameyapoh Yaovi Y1 - 2024/05/17 PY - 2024 N1 - https://doi.org/10.11648/j.ijnfs.20241303.11 DO - 10.11648/j.ijnfs.20241303.11 T2 - International Journal of Nutrition and Food Sciences JF - International Journal of Nutrition and Food Sciences JO - International Journal of Nutrition and Food Sciences SP - 56 EP - 65 PB - Science Publishing Group SN - 2327-2716 UR - https://doi.org/10.11648/j.ijnfs.20241303.11 AB - This comprehensive study delves deeply into the intricate process of optimizing fish product distribution routes in the expansive Western Kenya region, with an explicit focus on understanding and refining the operational strategies employed by Victory Farm Limited. Leveraging the Hungarian Method, celebrated for its unparalleled effectiveness in the realm of combinatorial optimization, the research endeavors to meticulously evaluate and fine-tune the shortest and most efficient transportation routes for seamlessly ferrying fish products from Kisumu Logistic Center to a myriad of distribution depots and retail markets scattered across the Western Kenya region's diverse landscape. Through an exhaustive analysis that spans road networks, logistical constraints, and the ever-evolving dynamics of market demand, this study systematically identifies and delineates optimal routes that not only minimize the distance traversed but also significantly mitigate associated transportation costs, all while steadfastly adhering to stringent standards for punctuality and product quality. Furthermore, by synergistically integrating sophisticated mathematical modeling techniques, meticulously executed through Python programming, with a robust foundation of real-world data meticulously sourced from Victory Farm Limited, this research endeavors to provide invaluable insights and pragmatic recommendations aimed at fortifying and enhancing the overall efficiency and profitability of fish product distribution operations throughout Victory Farm Western Kenya depots. In essence, the anticipated outcomes of this study transcend the realm of theoretical conjecture, poised instead to catalyze tangible advancements in the sustainable development of the region's burgeoning aquaculture sector, thereby fostering a lasting legacy of economic prosperity and environmental stewardship for generations to come. VL - 13 IS - 3 ER -