Bista Archana, Tobin John T, O'Donnell Colm P, O'Shea Norah
Food Chemistry and Technology Department, Teagasc Food Research Centre, Moorepark, P61 C996 Fermoy, Ireland.
School of Biosystems and Food Engineering, University College Dublin, Belfield, D4 Dublin, Ireland.
Foods. 2020 Sep 17;9(9):1310. doi: 10.3390/foods9091310.
Control of milk concentrate viscosity and total solids (TS) content prior to spray drying can improve dairy ingredient manufacture. However, the availability of hygienic and appropriately pressure rated process viscometers for inline monitoring of viscosity is limited. An acoustic flowmeter (FLOWave) is an inline process analytical technology (PAT) tool that measures changes in acoustic signals in response to changes in liquid properties (i.e., acoustic transmission (AT), acoustic impedance (AI), temperature and volume flowrate). In this study, an acoustic flowmeter is evaluated as an inline PAT tool for monitoring viscosity of milk protein concentrate (MPC85), protein and TS content of (MPC85), and standardised MPC (sMPC). Laboratory scale experiments were carried out at 45 °C for five different concentrations (4-21%) of MPC85 and sMPC. Results showed that AT decreased with an increase in MPC85 viscosity (e.g., AT was 98.79 ± 0.04% and 86.65 ± 0.17% for 4% and 21% TS content, respectively). Non-linear regression was carried out to develop a relationship between AT and offline viscosity (R (coefficient of determination) value = 0.97 and standard error of prediction = 1.86 mPa·s). AI was observed to increase at higher protein and TS content which was dependent on protein to total solid ratio (P_TSR). Multiple linear regression was carried out to develop the relationship between AI, protein content, TS content and P_TSR. Results demonstrated that AI could be used to monitor the protein and TS content of milk protein concentrate (R > 0.96). Overall this study demonstrated the potential of an inline acoustic flowmeter for monitoring process viscosity, protein and TS during dairy concentrate processing.
在喷雾干燥之前控制浓缩乳的粘度和总固体(TS)含量可以改善乳制品成分的生产。然而,用于在线监测粘度的卫生且具有适当压力额定值的过程粘度计数量有限。声学流量计(FLOWave)是一种在线过程分析技术(PAT)工具,它可以测量声学信号随液体特性(即声传输(AT)、声阻抗(AI)、温度和体积流量)变化的情况。在本研究中,对一种声学流量计作为在线PAT工具进行了评估,用于监测浓缩乳清蛋白(MPC85)的粘度、MPC85的蛋白质和TS含量以及标准化MPC(sMPC)。在45℃下对MPC85和sMPC的五种不同浓度(4 - 21%)进行了实验室规模的实验。结果表明,随着MPC85粘度的增加,AT降低(例如,对于4%和21% TS含量,AT分别为98.79±0.04%和86.65±0.17%)。进行了非线性回归以建立AT与离线粘度之间的关系(决定系数R值 = 0.97,预测标准误差 = 1.86 mPa·s)。观察到在较高的蛋白质和TS含量下AI增加,这取决于蛋白质与总固体比(P_TSR)。进行了多元线性回归以建立AI、蛋白质含量、TS含量和P_TSR之间的关系。结果表明,AI可用于监测浓缩乳清蛋白的蛋白质和TS含量(R > 0.96)。总体而言,本研究证明了在线声学流量计在乳制品浓缩加工过程中监测过程粘度、蛋白质和TS的潜力。