当前位置:
X-MOL 学术
›
Chem. Commun.
›
论文详情
Our official English website, www.x-mol.net, welcomes your
feedback! (Note: you will need to create a separate account there.)
Correction: Fast detection of penicillium rot and the conservation status of packaged citrus fruit using an optical array sensor
Chemical Communications ( IF 4.3 ) Pub Date : 2024-12-17 , DOI: 10.1039/d4cc90446j Alessia Cavallaro, Rossella Santonocito, Roberta Puglisi, Andrea Pappalardo, Federico La Spada, Rossana Parlascino, Mario Riolo, Santa Olga Cacciola, Nunzio Tuccitto, Giuseppe Trusso Sfrazzetto
Chemical Communications ( IF 4.3 ) Pub Date : 2024-12-17 , DOI: 10.1039/d4cc90446j Alessia Cavallaro, Rossella Santonocito, Roberta Puglisi, Andrea Pappalardo, Federico La Spada, Rossana Parlascino, Mario Riolo, Santa Olga Cacciola, Nunzio Tuccitto, Giuseppe Trusso Sfrazzetto
Correction for ‘Fast detection of penicillium rot and the conservation status of packaged citrus fruit using an optical array sensor’ by Alessia Cavallaro et al., Chem. Commun., 2024, 60, 13702–13705, https://doi.org/10.1039/D4CC04700A.
中文翻译:
校正:使用光学阵列传感器快速检测青霉病和包装柑橘类水果的保存状态
更正了 Alessia Cavallaro 等人对“使用光学阵列传感器快速检测青霉病和包装柑橘类水果的保存状态”,化学通讯,2024,60,13702–13705,https://doi.org/10.1039/D4CC04700A。
更新日期:2024-12-17
中文翻译:
校正:使用光学阵列传感器快速检测青霉病和包装柑橘类水果的保存状态
更正了 Alessia Cavallaro 等人对“使用光学阵列传感器快速检测青霉病和包装柑橘类水果的保存状态”,化学通讯,2024,60,13702–13705,https://doi.org/10.1039/D4CC04700A。