The present study was conducted in four districts of Punjab Province to examine the attitude of milk producers and milk collection agents toward compliance of milk quality and safety parameters. In current scenario, t...The present study was conducted in four districts of Punjab Province to examine the attitude of milk producers and milk collection agents toward compliance of milk quality and safety parameters. In current scenario, the attitude of consumers for safe food in accordance to quality standards is ever increasing. The dairy industry in Pakistan is confronting many challenges to adapt these food safety and quality measures. This study was purposely conducted in the south region of Punjab Province, as this region has rich population of livestock and milk production. To collect essential data, field study was carded out in selected four districts of Punjab Province. Field survey for dairy farmers and milk collection centers was performed in two phases. The analysis of primary data was carried out by calculating the Likert scale mean value, analysis of variance （one-way） and other descriptive statistics tools. The results showed that 76.4% milk producers had no awareness about Punjab food quality laws; as Likert-scale mean value was 1.93. The compliance level for the management practices such as Hazard Analysis of Critical Control Point （HCCAP）, Good Animal Practices （GAP） and Good Veterinary Practices （GVP） etc. was also very poor. Approximately, 32.57% milk collectors （very frequently） applied milk quality testing parameters whereas 50.72% milk collectors merely used sensory quality inspection methods at the time of milk purchase from dairy farmers. For a sustainable supply of good quality raw milk to the dairy industry in Pakistan, it was recommended that the departments for hygiene and food inspection should be vigilant. The prescribed food safety laws relating to milk production and marketing activities should be enforced properly to improve the situation.展开更多
In this work,a portable sensor based on ionic liquids-carboxylated carbon nanotubes/screen-printed carbon electrodes(IL-COOH-CNTs/SPCE)was constructed and coupled with machine learning for sensitive sulfamethoxazole(S...In this work,a portable sensor based on ionic liquids-carboxylated carbon nanotubes/screen-printed carbon electrodes(IL-COOH-CNTs/SPCE)was constructed and coupled with machine learning for sensitive sulfamethoxazole(SMZ)detection.The IL-COOH-CNTs/SPCE exhibited low impedance,a large effective surface area,and excellent stability.The sensor displayed a wide linear range from 1.04 to 233.00μmol/L,with a limit of detection(LOD)of 0.009μmol/L and a limit of quantification(LOQ)of 0.030μmol/L.The sensor coupled with least square support vector machine(LSSVM)achieved superior predictive performance than when coupled with artificial neural network(ANN).Furthermore,the recoveries for spiked food samples using this method showed no significant difference from those obtained using highperformance liquid chromatography(HPLC),confirming the high accuracy and practicality of the developed method.In summary,the IL-COOH-CNTs/SPCE sensor provides a reliable,portable,and efficient alternative for SMZ detection in aquatic and livestock products.展开更多
基金Supported by the National Natural Science Foundation of China(7167031183)Impact of Infant Powder Milk Safety Trust Index on Product Competitiveness-Index Measurement,Construction of Related Market Model and Market Simulation(G0300502)
文摘The present study was conducted in four districts of Punjab Province to examine the attitude of milk producers and milk collection agents toward compliance of milk quality and safety parameters. In current scenario, the attitude of consumers for safe food in accordance to quality standards is ever increasing. The dairy industry in Pakistan is confronting many challenges to adapt these food safety and quality measures. This study was purposely conducted in the south region of Punjab Province, as this region has rich population of livestock and milk production. To collect essential data, field study was carded out in selected four districts of Punjab Province. Field survey for dairy farmers and milk collection centers was performed in two phases. The analysis of primary data was carried out by calculating the Likert scale mean value, analysis of variance （one-way） and other descriptive statistics tools. The results showed that 76.4% milk producers had no awareness about Punjab food quality laws; as Likert-scale mean value was 1.93. The compliance level for the management practices such as Hazard Analysis of Critical Control Point （HCCAP）, Good Animal Practices （GAP） and Good Veterinary Practices （GVP） etc. was also very poor. Approximately, 32.57% milk collectors （very frequently） applied milk quality testing parameters whereas 50.72% milk collectors merely used sensory quality inspection methods at the time of milk purchase from dairy farmers. For a sustainable supply of good quality raw milk to the dairy industry in Pakistan, it was recommended that the departments for hygiene and food inspection should be vigilant. The prescribed food safety laws relating to milk production and marketing activities should be enforced properly to improve the situation.
文摘In this work,a portable sensor based on ionic liquids-carboxylated carbon nanotubes/screen-printed carbon electrodes(IL-COOH-CNTs/SPCE)was constructed and coupled with machine learning for sensitive sulfamethoxazole(SMZ)detection.The IL-COOH-CNTs/SPCE exhibited low impedance,a large effective surface area,and excellent stability.The sensor displayed a wide linear range from 1.04 to 233.00μmol/L,with a limit of detection(LOD)of 0.009μmol/L and a limit of quantification(LOQ)of 0.030μmol/L.The sensor coupled with least square support vector machine(LSSVM)achieved superior predictive performance than when coupled with artificial neural network(ANN).Furthermore,the recoveries for spiked food samples using this method showed no significant difference from those obtained using highperformance liquid chromatography(HPLC),confirming the high accuracy and practicality of the developed method.In summary,the IL-COOH-CNTs/SPCE sensor provides a reliable,portable,and efficient alternative for SMZ detection in aquatic and livestock products.
