品质至上,客户至上,您的满意就是我们的目标
技术文章
当前位置: 首页 > 技术文章
多光谱食品品质可视化:乳酸菌菌株的生物保护特性对不同条件下储存的奶酪质量和安全性的影响
发表时间:2024-09-24 13:53:54点击:119
VideometerLab 4采用了LED滤波技术,组合测量可达多达20个不同波长并集成到1张高分辨光谱图像中。图像的每一个像素为反射光谱,设备可涵盖UV、可见光以及NIR波长其集成了可见光RGB高清成像,UV紫外成像以及近红外成像(组分分析)等强大功能。此设备还可选配叶绿素测量模块(叶绿素a和叶绿素b)。
VideometerLab4是一款光谱成像设备,设计用于快速、有效测定表面颜色、质构、化学组分,图像面积可达90 x 90。此设备易于使用,该设备简单易用,集成了照明,相机以及计算机技术,具有先进数字图像分析以及数据统计能力。 该技术对于于对样品或表面的化学和可视特性定性测量特别有用。
该系统也可以对细菌、真菌、虫卵等进行高通量成像测量,进行毒理学或其它研究,用于食品谷物、作物、肉品等等进行精确、全面品质检测。
多光谱食品品质可视化:乳酸菌菌株的生物保护特性对不同条件下储存的奶酪质量和安全性的影响
摘要:最近,在奶酪中加入额外的乳酸菌(LAB)菌株越来越受欢迎,因为它们会影响奶酪的营养、技术和感官特性,并提高产品的安全性。这项工作研究了戊糖乳杆菌L33和植物乳杆菌L125游离细胞和上清液对羊奶酪质量和单核细胞增生李斯特菌的影响。此外,使用傅里叶变换红外光谱(FTIR)和多光谱成像(MSI)分析等快速非侵入性技术,根据奶酪样品的感官属性对其进行分类。将羊奶酪片用3 log CFU/g的单核细胞增生李斯特菌污染,然后用(i)共培养的两种乳酸菌(LAB)的游离细胞(F,~5 log CFU/g)喷洒奶酪片,ii)LAB共培养物(S)和对照(C,UHT乳)的上清液,或用含有LAB菌株的颗粒(细胞,FF)或上清液(SF)的藻酸钠可食用膜包裹。随后,将样品储存在空气、盐水或4℃和10℃的真空中。在储存过程中,在进行感官评估的同时,监测微生物计数、pH值和水分活度(aw)。此外,在每个采样点,通过FTIR和MSI技术获取光谱数据。结果显示,奶酪的初始微生物种群约为7.6 log CFU/g,由LAB(>7 log CFU/g)和较低水平的酵母霉菌组成,未检测到肠杆菌科。在两种温度下的有氧、盐水和真空储存过程中,S和F样本的病原体种群略有推迟,与C样本相比达到了较低的水平。在盐水和真空包装中,酵母霉菌种群略有延迟。对于4℃的有氧储存,保质期延长与C和S样品相比,F样品的保质期延长了4天。在10℃下,与C样品相比,F和S样品的保质期延长了13天。FTIR和MSI分析使用PLS-DA方法提供了对奶酪质量的可靠估计,总准确率(%)分别为65.26至84.31和60.43至89.12。总之,应用生物保护性LAB菌株可以延长奶酪的保质期,并对单核细胞增生李斯特菌和腐败微生物群提供温和的抗菌作用。此外,本研究的结果验证了FTIR和MSI技术与数据分析相结合,用于快速评估胎儿样品质量的有效性。
关键词:白咸奶酪;好氧包装;可食用薄膜;单核细胞增生李斯特菌;傅里叶变换红外光谱;多光谱成像(MSI)分析
Effect of the Bioprotective Properties of Lactic Acid Bacteria Strains on Quality and Safety of Feta Cheese Stored under Different Conditions
Abstract: Lately, the inclusion of additional lactic acid bacteria (LAB) strains to cheeses is becoming more popular since they can affect cheese’s nutritional, technological, and sensory properties, as well as increase the product’s safety. This work studied the effect of Lactiplantibacillus pentosus L33 and Lactiplantibacillus plantarum L125 free cells and supernatants on feta cheese quality and Listeria monocytogenes fate. In addition, rapid and non-invasive techniques such as Fourier transform infrared (FTIR) and multispectral imaging (MSI) analysis were used to classify the cheese samples based on their sensory attributes. Slices of feta cheese were contaminated with 3 log CFU/g of L. monocytogenes, and then the cheese slices were sprayed with (i) free cells of the two strains of the lactic acid bacteria (LAB) in co-culture (F, ~5 log CFU/g), (ii) supernatant of the LAB co-culture (S) and control (C, UHT milk) or wrapped with Na-alginate edible films containing the pellet (cells, FF) or the supernatant (SF) of the LAB strains. Subsequently, samples were stored in air, in brine, or in vacuum at 4 and 10 ◦C. During storage, microbiological counts, pH, and water activity (aw) were monitored while sensory assessment was conducted. Also, in every sampling point, spectral data were acquired by means of FTIR and MSI techniques. Results showed that the initial microbial population of Feta was ca. 7.6 log CFU/g and consisted of LAB (>7 log CFU/g) and yeast molds in lower levels, while no Enterobacteriaceae were detected. During aerobic, brine, and vacuum storage for both temperatures, pathogen population was slightly postponed for S and F samples and reached lower levels compared to the C ones. The yeast mold population was slightly delayed in brine and vacuum packaging. For aerobic storage at 4 ◦C, an elongation in the shelf life of F samples by 4 days was observed compared to C and S samples. At 10 ◦C, the shelf life of both F and S samples was extended by 13 days compared to C samples. FTIR and MSI analyses provided reliable estimations of feta quality using the PLS-DA method, with total accuracy (%) ranging from 65.26 to 84.31 and 60.43 to 89.12, respectively. In conclusion, the application of bioprotective LAB strains can result in the extension of feta’s shelf life and provide a mild antimicrobial action against L. monocytogenes and spoilage microbiota. Furthermore, the findings of this study validate the effectiveness of FTIR and MSI techniques, in tandem with data analytics, for the rapid assessment of the quality of feta samples.
Keywords: white brined cheese; aerobic packaging; edible films; Listeria monocytogenes; Fourier transform infrared (FTIR) spectroscopy; multispectral imaging (MSI) analysis
相关阅读
丹麦VideometerSLS/SGT颗粒/粘度/口感评价测量仪
食品品质光谱成像可视化:光谱成像应用于面食小麦籽粒真伪检测的可行性研究
食品品质光谱成像可视化:多光谱成像 (MSI):一种检测掺有马肉的碎牛肉的有前景的方法
食品品质光谱成像可视化:色度计和多光谱图像的肉类颜色测量结果的比较
食品品质光谱成像可视化:利用多光谱成像进行非侵入性污染评估和肉类样品绘图
食品品质光谱成像可视化:使用多光谱成像分析快速无损识别注水牛肉样品
食品品质光谱成像可视化:具有不同亚硝酸盐和硝酸盐还原酶活性的肉相关葡萄球菌在发酵香肠中的颜色形成
食品品质光谱可视化研究:长时间低温热处理的奶牛和公牛的肉韧性与结缔组织特性的关系
食品品质光谱成像可视化:使用 vis/NIR 多光谱成像对微加工苹果的每日新鲜度衰减:初步测试
食品品质光谱成像可视化:多光谱视觉系统与色度计在肉色评估中的比较
食品品质光谱可视化研究:使用光谱成像和三色测量对鲑鱼虾青素颜色进行分类
食品品质光谱可视化研究:长时间低温热处理的奶牛和公牛的肉韧性与结缔组织特性的关系
食品品质光谱可视化研究:高通量多光谱图像处理在食品科学中的应用
食品品质光谱可视化研究:一种基于多光谱图像的肉类腐败检测智能决策支持系统
食品品质光谱可视化研究:多光谱成像在草莓果实品质属性和成熟期测定中的应用
食品品质光谱可视化:多光谱成像技术在阿拉比卡和罗布斯塔咖啡豆鉴别中的应用
多光谱食品品质无损检测:用于快速评估鸡肉汉堡微生物质量的光谱数据
多光谱食品品质分析:利用基于光谱学、成像分析和模拟人类感官的传感器技术快速评估食用海藻的微生物质量霉菌种类和代谢物
多光谱食品品质可视化研究:结合DNA条形码、靶向代谢物分析和多光谱成像来识别切片面包中的霉菌种类和代谢物
多光谱食品品质可视化:通过光谱和仿生传感器和数据融合评估腌制鸡肉Souvlaki的微生物破坏和质量
多光谱食品品质可视化:凝乳酪蛋白凝胶性质对马苏里拉干酪挤压结构、流变学和功能性质的影响
多光谱食品品质可视化:基于双道二维相关光谱(2t2d Cos)和多快照可见近红外多光谱成像的牛肉肌肉鉴别新方法
多光谱食品品质可视化:丹麦黄油曲奇的分批与连续面团混合-近红外高光谱成像研究
多光谱食品品质可视化:利用透射多光谱成像技术定量评价椰子油掺假
食品多光谱品质可视化:人工光对整只煮熟的北方对虾冷冻贮藏过程中脂质氧化的影响
Videometer多光谱成像系统食品品质可视化:高油酸葵花籽油作为糖衣中棕榈油的潜在替代品—使用多光谱成像和电子鼻的比较质量测定