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首页> 外文期刊>Acta Horticulturae >Infield application of portable NIR to assess 'Valencia' orange fruit maturity
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Infield application of portable NIR to assess 'Valencia' orange fruit maturity

机译:便携式NIR评估'瓦伦西亚'橙色果实成熟度的infield应用

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Harvest maturity of orange fruit is currently estimated based on total soluble solids (TSS). Juice TSS is analysed from few samples representing the entire orchard using a destructive method based on a refractometer. The technique restricts the numberof representative samples due to its destructive nature. Significant loss of fruit occurs if the number of reference samples is increased to properly represent big farms with varying orchard conditions. This study was conducted to develop models for insitu non-destructive assessment of maturity stage of'Valencia' orange using a portable visible to near infrared spectrometer (Felix, F750, Vis-NIR) equipped with a xenon-tungsten lamp as light source and lead-sulphide detector. The robustness of models developed in this study was increased by acquiring three spectra from each sample at 10, 20 and 30°C from morning to early evening. Partial least square regression models for assessing TSS, titratable acidity (TA), maturity index (TSS:TA) and BrimA weredeveloped from spectral and chemical data using The Unscrambler X chemometric software. The developed models were assessed based on high correlation between values predicted during cross-validation and actual values. Final models were also tested on external fruit set. Good model for assessing TSS was developed as indicated by high regression coefficient (R2=0.988) and the ratio of performance deviation (RPD=9.062), and low root mean square error of prediction (RMSEP=0.114%). Successful models were alsodeveloped for predicting TA (R2=0.938; RPD=3.150; RMSEP=0.024%), TSS:TA (R2=0.727; RPD=1.522; RMSEP=0.575) and BrimA (R2=0.905; RPD=3.227; RMSEP=0.255%). Commercial application of portable spectrometers with the developed models can increase the numberof assessed harvest maturity parameters and the number of reference samples since this technique does not need harvesting of sample fruits.
机译:目前基于总可溶性固体(TSS)估算橙色水果的收获成熟度。通过基于折射仪的破坏方法,从代表整个果园的少数样本分析果汁TSS。该技术由于其破坏性性质而限制了代表性样本的数量。如果增加参考样品的数量以适当代表具有不同果树条件的大农场,则会发生显着的果实损失。该研究是使用靠近红外光谱仪(Felix,F750,Vis-Nir)的便携式可见的便携式可见的valencia'橙色成熟阶段的Insitu非破坏性评估模型,以Xenon-Tungsten灯作为光源和引线 - 苏氏探测器。通过在早晨到傍晚从每个样品从每个样品获得三个光谱,增加了本研究中开发的模型的稳健性。用于评估TSS,可滴定酸度(TA),成熟度指数(TSS:TA)和Brima的局部最小二乘回归模型使用Unscrambler X Chemometic Software从谱和化学数据中发育。基于交叉验证和实际值期间预测的值之间的高相关评估开发模型。最终模型也在外部水果套上测试。评估TSS的良好模型是由高回归系数(R2 = 0.988)表示的和性能偏差(RPD = 9.062)的比率和预测的低根均方误差(RMSEP = 0.114%)。成功的模型是用于预测TA的alsodeveloped(R2 = 0.938; RPD = 3.150; RMSEP = 0.024%),TSS:TA(R2 = 0.727; RPD = 1.522; RMSEP = 0.575)和Brima(R2 = 0.905; RPD = 3.227; RMSEP = 0.255%)。具有开发模型的便携式光谱仪的商业应用可以增加评估的收获成熟度参数的数量和参考样品的数量,因为该技术不需要采集样品水果。

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