A specific and sensitive reverse transcriptase-nested polymerase chain reaction assay (RT-nPCR) was developed for the detection of Citrus tristeza virus (CTV) from naturally infected citrus samples. Two sets of primer pairs were designed by alignment of nucleotide sequences available in GenBank database for different genotypes of CTV. RT-nPCR reaction components and thermal cycling parameters were optimized and reaction conditions were standardized. Sequencing of the PCR products from direct and nested-PCR reactions confirmed the specificity of both primer pairs. Presence of CTV specific amplicons in asymptomatic samples which were collected from diseased orchards indicated the sensitivity of the test. As RT-nPCR technique, developed in the present study, is specific and efficient in detecting CTV, this could be envisioned for diagnostic applications and surveillance.
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http://dx.doi.org/10.1007/s00284-011-9883-7 | DOI Listing |
Int J Biol Macromol
January 2025
NBFC - National Biodiversity Future Center, 90133 Palermo, Italy; University of Naples Federico II, Department of Biology, Naples, Italy. Electronic address:
Bio-valorization of agri-food wastes lies in their possible conversion into fermented foodstuffs/beverages and/or biodegradable polymers such as bacterial cellulose. In this study, three different kombucha cultures were formulated using agri-food waste materials, citrus fruit residues and used coffee grounds, as alternative carbon and nitrogen sources, respectively. Over 21 days of fermentation, the kinetic profile was followed by monitoring cell number, pH variation, minerals, trace elements and production of bacterial cellulose.
View Article and Find Full Text PDFMolecules
January 2025
Department of Biotechnology, University of Verona, Strada le Grazie 15, 37134 Verona, Italy.
Honeydew honey is less studied than nectar honey, although it is characterized by peculiar nutritional properties. This is mainly due to its challenging production, which leads to easy counterfeiting and difficult valorization. This contribution aims to provide a comprehensive characterization of the physico-chemical, palynological, functional, and food safety properties of a large sampling of honeydew honeys collected throughout Italy.
View Article and Find Full Text PDFFood Res Int
February 2025
State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi, Jiangsu Province, China; School of Food Science and Technology, Jiangnan University University, Wuxi, Jiangsu Province, China; Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, China. Electronic address:
The aim of this study was to explore application of visible and near-infrared (Vis/NIR) spectroscopy combined with machine learning models for SSC and TA prediction of hybrid citrus. The Vis/NIR spectra of samples including navel-region, equator-region and multi-region combination spectra in navel-region and equator-region were collected using a benchtop equipment. The performance of SSC and TA prediction models with different region spectra, including partial least squares (PLS), random forest (RF), k-nearest neighbors (KNN), support vector machine (SVM) and multilayer feedforward neural network (MFNN), was assessed.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Artificial Intelligence and Data Science, Sejong University, Seoul, Republic of Korea.
Citrus farming is one of the major agricultural sectors of Pakistan and currently represents almost 30% of total fruit production, with its highest concentration in Punjab. Although economically important, citrus crops like sweet orange, grapefruit, lemon, and mandarins face various diseases like canker, scab, and black spot, which lower fruit quality and yield. Traditional manual disease diagnosis is not only slow, less accurate, and expensive but also relies heavily on expert intervention.
View Article and Find Full Text PDFACS Omega
January 2025
The Fifth Affiliated Hospital, Guangzhou Municipal and Guangdong Provincial Key Laboratory of Molecular Target & Clinical Pharmacology, the NMPA and State Key Laboratory of Respiratory Disease, School of Pharmaceutical Sciences, Guangzhou Medical University, Guangzhou 511436, China.
The nonvolatile and volatile compounds in the peels of 13 cultivars (4 mandarins, 5 tangerines, and 4 hybrids) and 5 (sweet oranges) cultivars were analyzed. Initially, 66 volatile compounds were detected using gas chromatography-mass spectrometry (GC-MS). Tangerines were distinguished from other citrus cultivars (mandarins, sweet oranges, hybrids) by having higher volatile oil extraction rates and higher relative contents of o-Cymene, α-Terpinene, d-α-Pinene, Terpinolene, γ-Terpinene, l-β-Pinene, and 3-Thujene.
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