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作 者:武新 刘京威 付兴兰 WU Xin;LIU Jingwei;FU Xinglan(School of Electronics and Internet of Things,Chongqing Polytechnic University of Electronic Technology,Chongqing 401331,China;College of Engineering and Technology,Southwest University,Chongqing 400715,China)
机构地区:[1]重庆电子科技职业大学电子与物联网学院,重庆401331 [2]西南大学工程技术学院,重庆400715
出 处:《保鲜与加工》2025年第4期106-115,共10页Storage and Process
基 金:重庆市教委科学技术研究项目(KJZD-K202303101,KJQN202103105);重庆市自然科学基金面上项目(CSTB2022NSCQ-MSX1140)。
摘 要:口感指数(TI)由可溶性固形物含量(SSC)与可滴定酸(TA)含量的比值表示,用于衡量梨的口感、成熟度和风味。为了快速准确地检测梨果实的TI,采用近红外光谱技术结合多元分析算法,通过微型近红外光纤光谱仪采集195份雪梨样品的漫反射光谱数据,并对TI值进行全局数值变换。使用遗传算法(GA)、连续投影算法(SPA)、自举软收缩(BOSS)算法及蒙特卡洛竞争性自适应重加权采样法选取特征波长数据,结合偏最小二乘回归法建立定量预测模型。结果表明,基于GA-BOSS选取的22个特征波长建立的PLSR模型表现出较高的性能,校正集和预测集的相关系数(Rc和Rp)分别为0.971和0.983,模型具有较高的拟合效果和预测准确度。该方法实现了梨果实TI的快速、无损检测,为梨品质的实时监测提供了一种可行的技术方法。Taste index(TI)is the ratio of soluble solid content(SSC)to titratable acidity(TA).TI can be used to determine the taste and ripening stage of pears and characterize their flavor.In order to quickly and accurately detect the TI of pear fruit,near-infrared spectroscopy combined with multivariate analysis algorithm was used to collect the diffuse reflectance spectrum data of 195 snow pear samples through a miniature near-infrared optical fiber spectrometer,and a global numerical transformation of the TI value was formulated.Using genetic algorithm(GA),continuous projection algorithm(SPA),bootstrap soft shrinkage algorithm(BOSS),and Monte Carlo competitive adaptive reweighted sampling method(MCARS)to select feature wavelength data,and combining partial least squares regression(PLSR)to establish a quantitative prediction model.The results showed that the PLSR model established based on the 22 selected feature wavelengths of GA-BOSS exhibited high performance,with correlation coefficients(Rc and Rp)of 0.971 and 0.983 for the calibration and prediction sets,respectively.The model had high fitting effect and prediction accuracy.The portable NIR spectrometer with multivariate data processing is a good tool for the rapid and nondestructive analysis of TI in pears.
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