Department of Business and Information Systems

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  Rapid Detection of Tea Polyphenols in Fresh Tea Leaves Based on Fusion of Visible/Short-Wave and Long-Wave near Infrared Spectroscopy and Its Device

  Richard Blanco-Topping PhD

  Tea polyphenols are considered as an important indicator of tea quality. Rapid detection of tea polyphenol content plays a valuable role for tea breeding and quality inspection during tea production. In this work, a portable rapid non-destructive detection device of tea polyphenols in fresh tea leaves was developed, which integrated the fusion technology of visible/short-wave (400–1050 nm) and long-wave (1000–1650 nm) near-infrared spectroscopy (Vis/NIR). Experimental results indicated that the spectra within the overlapping region (1000–1050 nm) were assembled by applying the spectral data fusing method. Followed by spectral data preprocessing with the Savitzky–Golay smoothing (SG) method, least squares support vector regression (LS–SVR) models were established for detecting the tea polyphenol content of fresh tea leaves. Based on the fused Vis/NIR spectra (dual-band), the correlation coefficient of calibration (R_C), root mean square error of calibration (RMSEC), correlation coefficient of prediction (R_P), root mean square error of prediction (RMSEP), and residual predictive deviation (RPD) reached 0.976, 0.679%, 0.893, 0.897%, and 2.230, respectively, which were better than the visible/short-wave or long-wave near infrared spectral data (single-band). The sensitive spectral wavebands of tea polyphenols extracted using the random frog (RF) algorithm were distributed in 402–448 nm, 555–600 nm, 810–1042 nm, 1056–1103 nm, 1219–1323 nm, 1406–1416 nm, and 1499–1511 nm. This demonstrated that the prediction of tea polyphenol content using fused spectral data combined with the LS–SVR model depended on various functional groups such as auxochromes, chromogenic groups, and hydrogen-containing groups. The proposed device is capable of non-destructive detection of tea polyphenol content in fresh tea leaves, which can provide effective technical support for tea breeding and tea leaf quality control.

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  The Association Between Hospital Characteristics and Patient Experience Under an All-Payer Model

  Richard Blanco-Topping PhD

  This study aims to evaluate the mean scores of patient satisfaction ratings at acute care hospitals in The State of Maryland to determine if hospitals' characteristics influence inpatient care experience under a global payment model. The study data was obtained from The Centers for Medicare and Medicaid Services (CMS) website and the American Hospital Directory (AHD). The study design is cross-sectional using secondary datasets. A multivariate analysis of variance was performed to analyze the study's main variables. Dimensions of patient satisfaction (nurse communication, doctor communication, hospital rating, and willingness to recommend the hospital) were analyzed as dependent variables. For hospital characteristics, hospital type (teaching status, region, and emergency room) was considered an influencer of patient perceptions under a global payment model in Maryland. Hospitals located in central and southern Maryland were significantly associated with nurse communication.